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in terms and provide linkages between terminology and classification systems. For Example the term "Discharge" may be synonomous with "Flow" or Stream Flow", but the terms may have alternative definitions and units of measure to individuals who use the terms as an indicator or metric. This dictionary is being drafted for the PNAMP Ecosystem Information Management Framework and should provide future linkages/ relationships between Metrics, Objects, Indicators, Protocol and Variables. In its draft format PNAMP used Excel to help filter information. Later versions will need alternative programs that provide better methods for linking single terms to multiple categories and a better means to enter information with proper drop down menus for reference. Initial work has been conducted to provide definitions and examples of the fields of interest for developing a data dictionary. Additional beta testing will be conducted by limited PNAMP participation to refine the tool before it may be developed further. Ultimately this tool should be used to help provide consistent definitions for terminology used in the Pacific Northwest’s Ecosystem Information Management Framework, to provide regional consistency and recommendations. within the Data Dictionary is draft and subject to change until the Validated field is marked by the entity that actually provided the information. For example, the information entered is dominantly from a third party and has not been validated by the source, or the source is in the process of updating the terminology used in a draft document or beta test program.

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Page 1: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

The Draft Monitoring Terminology Data Dictionary Version 1.0 provides the definitions for Indicators and Metrics used in monitoring programs in the Northwest and is an attempt by PNAMP to reconcile differences in terms and provide linkages between terminology and classification systems. For Example the term "Discharge" may be synonomous with "Flow" or Stream Flow", but the terms may have alternative definitions and units of measure to individuals who use the terms as an indicator or metric. This dictionary is being drafted for the PNAMP Ecosystem Information Management Framework and should provide future linkages/ relationships between Metrics, Objects, Indicators, Protocol and Variables. In its draft format PNAMP used Excel to help filter information. Later versions will need alternative programs that provide better methods for linking single terms to multiple categories and a better means to enter information with proper drop down menus for reference. Initial work has been conducted to provide definitions and examples of the fields of interest for developing a data dictionary. Additional beta testing will be conducted by limited PNAMP participation to refine the tool before it may be developed further. Ultimately this tool should be used to help provide consistent definitions for terminology used in the Pacific Northwest’s Ecosystem Information Management Framework, to provide regional consistency and recommendations.

Disclaimer: Do not cite information contained with in the data dictionary until it has been validated. The information contained within the Data Dictionary is draft and subject to change until the Validated field is marked by the entity that actually provided the information. For example, the information entered is dominantly from a third party and has not been validated by the source, or the source is in the process of updating the terminology used in a draft document or beta test program.

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Field Name Definition

Data Element Number:

Type of Monitoring Data: The type of monitoring which uses this attribute

Subject Group

Subject

Ecological Province

Data Element Name:

Data Element Defintition: Description of the meaning of the data element

Metric or Variable:

Glossary Monitoring Terms for "Monitoring Data Element Dictionary"

A unique number associated with the data element name for use in technical documents or to help manage this data dictionary.

Primary Classification group used to help filter Data Dictionary: Either Biological or Physical

The secondary classification grouping used to help filter groupings of terms.

The ecological province that monitoring is designed to assess. This may be left blank if it applies to all provinces

An atomic unit of data that including name, definition and unit of measure (and other aspects). This is equivalent conceptually to metric/variable, derived variable, indicator or performance measure. A data content topic, for example, a named data collection protocol – EMAP. Note there may be multiple domains or sub-domains within a particular data dictionary.

A value calculated or derived from observed attributes that inform an indicator. A metric may be known as a variable, and a metric may also be an indicator, mark " yes" if this field is a metric

Indicator, Indicator Group Derived Variable or Performance Measure:

A value that characterizes the quality, condition, status or trend of an environmental resource or ecological process. For the data dictionary an indicator is also known as a derived variable or a performance measure. Mark " yes" if this field is an indicator

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Variation of "Data element name":

Defined By:

Associated Protocol:

Data Element Field Name (Attributes)

Data Element Field Attributes

Data Element Attribute Code The shorthand codes used to identify an attribute

Unit/s of Measure or Equation:

Unit of Precision:

Data type (char or num):

This field identifies other "data element names" that are similar. E.g. "Temperature, water", may have "Water Quality: Temperature or Water Temperature" as alternative & equivalent definitions.

The entity responsible for providing the definition of the attribute or a citation referencing the source.

Associated Method/ Standard Operating Procedure:

This field provides the citation for the associated method used to collect the monitoring variable. A "Method" is more precisely defined as 1) a discrete process used during field data collection to measure or observe objects; 2) the union of all standard operating procedures, analysis procedures, and observed attributes require to determine the value of an indicator. (Attribute will be encoded as citation)

This field provides the citation for the associated Protocol & date used to collect the monitoring variable. A "protocol" is more precisely defined as a collection of one or more methods compiled by a researcher, monitoring agency, or similar entity used to implement a field monitoring event. (Attribute will be encoded as citation)

The name used for this data element in computer programs and database schemas. It is often an abbreviation of the Date Element Name (e.g.. Cellular Phone Number might be assigned a field name of Cell_Ph_No).

The Attributes collected for this data element for the field

Scientific or other unit of measure that applies to the data element.

The level to which the data will be reported, e.g. 1 mile plus or minus .001 mile.The type of data (e.g. Characters, Numeric, Alpha-numeric, date, list, floating point).

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Size & Decimalization:

Edit mask format:

Validated by

Comments

Web Link

PNAMP Endorsed

PNAMP Endorsed

Examples Definitions for "Metric"Data Element Definition

Metric

Metric

The maximum field length that will beaccepted by the database together with anydecimal points (e.g. 30(2)) refers to a fieldlength of 30 with 2 decimal points).An example of the actual data layout required,(e.g. yyyymmdd).This field is to be used by the source of the term to authenticate that the definition is accurately input in the data dictionary. This should be an individual's name followed by the organization name

Insert text up to 200 words for any necessary clarification on any field

This is to provide a link to the documentation if availableThis field is to designate that PNAMP recommends the use of the definition of the term identified over other similar definitions in the dictionary. For example

This field is to designate that PNAMP recommends the use of the definition of the term identified over other similar definitions in the dictionary. For example PNAMP may endorse a particular definition for the Term Stream flow and note that Stream flow should also replace Flow and discharge. (This field is marked with a 'yes' if PNAMP has recommended the data element, otherwise mark with a 'no'.)

A system of related measures or variables that facilitates the quantification of some particular characteristic. Multiple or single metrics can be quantified as an indicator

a parameter that can be quantitatively measured. Methods for data collection for each metric should be described in the form of instructions, with step-by step details of how to carry out each procedure. Multiple methods may exist for a given metric. This is equivalent conceptually to data element.

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Measured Variable

Metric

Metric a value calculated or derived from observed attributes that inform an indicator

Examples Definitions for "Indicator"Data Element Definition

Indicator

Indicator

Derived Variable

Performance Measure

High Level Indicator

Attribute

Indicator

a measurement, or combination of measurements, of a defined object or event together with related unit or units of measure e.g. (wind speed is the speed of the wind when measured from a stationary position at a distance of 6 feet above the ground surface and expressed in knots (nautical miles/hour).

An indicator a measured or derived variable defined at different hierarchical scales based on metric/s measured in a monitoring program . Organism, species or community whose characteristics show the presence of specific environmental conditions

Ecological indicators are used to communicate information about ecosystems and the impact human activity has on ecosystems to groups such as the public or government policy makers. Ecosystems are complex and ecological indicators can help describe them in simpler terms that can be understood and used by non-scientists to make management decisions.

are measured or derived variables defined at different hierarchical scales. We have categorized indicators as attributes, metrics, and statistics.

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Indicator

Indicator:

a metric or derivation of metrics (variables) used to summarize the relative importance of detailed measurements (e.g. a Force 5 Wind is an indicator of wind speed measured between 50 and 60 knots)

a value that characterizes the quality, condition, status or trend of an environmental resource or ecological process.

Indicator group: a collection of indicators used to inform a single management question.

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Example Defined By Comment

2112 PNAMP

Status & Trend, Effectiveness, Validation PNAMP

Biological PNAMP

PNAMP

Stream Flow NED

NED

PNAMP

PNAMP

The classification of, Fish, Macroinvertebrate, Mammal, Birds, Amphibian, Reptile, Other, Environmental condition, Estuary & Nearshore Habitat, In-stream Habitat, Riparian Habitat, Lake, Pond or Reservoir Habitat, Water Quality, Water Quantity, Effectiveness Monitoring,

Estaury and Nearshore, Ocean, Wadeable Streams, Non-wadeable Streams, Lakes, Ponds & Reservoirs,Watershed, Upland, Atmospheric, All = blank

In this case we are using this for metrics and indicators only

The velocity and volume of water measured in CFS Cubic Feet per Second

Place an Yes in this field if the term is a variable or Metric

Place an Yes in this field if the term is a Derived Variable or Indicator

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Discharge, Flow NED

PNAMP

ISEMP

ISEMP

PNAMP

22.565 or Low (relative to Baseline/Average) PNAMP

(Blank) or L PNAMP

NED

3 decimal places NED

NED

Hillman: Upper Columbia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Peck, D., J.M. Lazorchak, and D.J. Klemm (editors), 2003. Environmental Monitoring and Assessment Program – Surface Waters: Western Pilot Study Field Operations Manual for Wadeable Streams. U.S. Environmental Protection Agency, Western Division, Corvallis, OR.

Ideally this field will provide the link to the relevant methods for the data element (indicators and metrics)

Hillman: Upper Columbia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Ideally this field will provide the link to the relevant methods for the data element (indicators and metrics)

To be defined by Future Data Dictionary Programmer

Cubic Feet/Second or relative rating to baseline and established scale

Added "Equation" to help provide the actual calculation used for multiple units of measure

Numeric for CFS or characters for relative Reference

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NED

NED

Tracy Hillman, Bioanalyst Inc. PNAMP

PNAMP

PNAMP

Yes or No PNAMP

Yes or No PNAMP

Examples Definitions for "Metric"Defined By Comment

Russell Scranton

To be defined by Future Data Dictionary Programmer

# # # #.# # # m3/s

Stream flow, Discharge and Flow need reconciliation to a common term if appropriate, Hillmans term "Stream flow" is more common

A link to the source of the information used to develop the data dictionary

PNAMP Monitoring Glossary

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Stewart Toshach

a value calculated or derived from observed attributes that inform an indicator ISEMP

Examples Definitions for "Indicator"Defined By Comment

Russell Scranton

Upper Columbia Recovery Plan Monitoring Plan (Hillman)

PNAMP Final Definition

PNAMP Monitoring Glossary

This is the definition of a biological indicator (Scranton)

Upper Columbia Recovery Plan Monitoring Plan (Hillman)

PNAMP Monitoring Glossary

Lower Columbia RM&E Plan

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Stewart Toshach

ISEMP

ISEMP

PNAMP Final Definition

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Subject Data Element Name: Data Element Defintition:

7 Physical Water Quality 303D Listed Stream Stream reaches listed on the Clean Water Act 303d list for impaired water conditions

8 Physical Above ground biomass Not Defined

9 Physical Absorption

10 Biological Fish

11 Biological Fish Calculate 10 and 12-yr GM for abundance of naturally produced fish (Provide Equation and variables)

12 Biological Fish Calculate 10 and 12-yr GM for abundance of naturally produced fish (Provide Equation and variables)

13 Biological Fish Calculate 10 and 12-yr GM for abundance of naturally produced fish (Provide Equation and variables)

14 Biological Fish Abundance, Actual

15 Biological Fish Abundance, Estimated see Spawner Abundance etc.

16 Biological Fish Abundance, Juvenile

17 Biological Fish Abundance, Spawner

18 Biological Fish

19 Biological Fish

20 Biological Fish Abundnace Estimated See "Estimated Abundance.."

Data Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Abundance (Relative) of fish & other aquatic organisms,

Status & Trend or Effectiveness

Abundance Geometric Mean (10 yr)

Status & Trend or Effectiveness

Abundance Geometric Mean (12 yr)

Status & Trend or Effectiveness

Abundance Geometric Mean (20 yr)

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

The number of adult fish that return and spawn on the spawning ground, based on extrapolation or redd and live fish counts

Status & Trend or Effectiveness

Abundance, Spawner (Escapement)

Actual Spawner Abundance, the number of salmon spawning which is derived from the number of redds, carcass counts etc.

Status & Trend or Effectiveness

Abundance, Total Run Size

Based upon Actual Spawner Abundance, Estimate of Harvest Mortality, estimate of hydro mortality and estimate of other human caused mortality

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

21 Physical Water Quality Acidity

22 Physical Acres acres of owned property

23 Physical Acres Developed

24 Physical Acres leased

25 Physical (See High level Indicators Paper)

26 Physical Characterization of Vegetation cover, Geology/ soils, Floodplain topography, Bathymetry

27 Physical

28 Physical Acres purchased

29 Physical Characterization of Vegetation cover, Geology/ soils, Floodplain topography, Bathymetry

30 Attribute Action Name: The name given to this project by the funding or compiling organization.

31 Attribute Action Priority: How this action rated relative to other actions.

32 Attribute

Status & Trend or Effectiveness

A measure of the concentration of hydrogen ions.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Acres of degraded or habitat lost to anthropogenic factors

Status & Trend or Effectiveness

Habitat Quality & Quantity

Acres of tidal marsh restored or converted/lost

Status & Trend or Effectiveness

Habitat Quality & Quantity

Acres protected by new conservation plan

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Acres Shallow water wetland

Implementation Monitoring

General Attribute

Implementation Monitoring

General Attribute

Implementation Monitoring

General Attribute

Action/ Project Identification Number/s:

This is the unique number given to the action or project by the implementing entities. It is important to document all numbers to eliminate potential duplicate reporting.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

33 Action/ Project Status:

34 Location Action/Project Location:

Implementation Monitoring

General Attribute

The status of the action/project is it in planning, has it been funded and being implemented or is it on hold, or is it complete.

Implementation Monitoring

General Attribute

This is geospatially referenced location data for each treatment site where the action/project work is implemented. Report as a point, line or polygon for all treatment locations. Latitude and longitude from GPS is of the centroid or approximate center of the project is preferred

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

35 Action Action:

36 Biological Fish Actual abundance See: Abundance, actual

37 Biological Fish

38 Biological Fish See: Abundance, Spawner

39 Biological Fish

40 Biological Fish

41 Biological Fish

42 Biological Fish

43 Physical Blank

Implementation Monitoring

General Attribute

Actions produce a command to be executed from a Recovery Plan. That command for our purposes is transformed into an activity/task or project. Recovery plan actions fit into the following 6 categories:

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Actual juvenile abundance (out-migrant) by year class gen x+1

Status & Trend or Effectiveness

Actual spawner abundance

Status & Trend or Effectiveness

Actual spawner abundance (gen x)

Status & Trend or Effectiveness

Actual spawner abundance Hatchery Origin Fish

Status & Trend or Effectiveness

Actual spawner abundance Natural Origin Fish

Status & Trend or Effectiveness

Actual spawner abundance, or redd count/calculation (gen x)

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

add Battelle LCREP Protocols

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

44 Physical Blank

45 Contact Administrator Contac

46 Biological Fish Adult age at return

47 Biological Fish Adult Count The number of adults counted past a weir or in a spawning survey area

48 Biological Fish

49 Biological Fish

50 Biological Fish

51 Biological Fish Adult passage timing

52 Biological Fish Adult presence/absence Reconnaissance surveys of non-index areas

53 Biological Fish Adult Run-timing Raw measure (primary): arrival at mouth of major tributaries. Peak, range, 10th-90th percentiles

54 Biological Fish Adult Run-timing

55 Biological Fish Adult Size The fork length (mm) of Fish

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

add Columbia River Estuary Research Monitorign and Evalaution Program

Implementation Monitoring

General Attribute

The Contact Information of the lead administrator for agency or organization actions. This is needed for QA/QC and will only be visible by Program administrators

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Adult Equivalent Probability:

Adult equivalent probability that a fish at any age will spawn without fishing mortality. This accounts for mortality associated with natural causes (Predation, disease, starvation etc.)

Status & Trend or Effectiveness

Adult Escapement toTributary

Derived or raw measure. Number of adult fish that have "escaped" past fisheries to a certain point (e.g., the mouth of the Columbia). Equals adult spawner abundance if considering all fisheries (i.e., adults on spawning ground). May be derived using additional data such as harvest information (catch or rates), escapement to spawning ground (from weir or redd counts), upstream conversion rates, etc (e.g., Beamesderfer et al. 1997). It is a raw measure if it is escapement to the spawning ground.

Status & Trend or Effectiveness

Adult Escapement toTributary

Number of adults (including jacks) that have escaped to a certain point (i.e. - mouth of stream). Population based measure. Calculated with mark recapture methods from weir data adjusted for redds located downstream of weirs and in tributaries, and maximum net upstream approach for DIDSON and underwater video monitoring. Provides total escapement and wild only escapement. [Assumes tributary harvest is accounted for].

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Arrival timing of adults at adult monitoring sites (weir, DIDSON, video) calculated as range, 10%, median, 90% percentiles. Calculated for wild and hatchery origin fish separately, and total.

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

56 Biological Fish Adult Size, Mean The mean fork length of the total fish sampled

57 Biological Fish

58 Biological Fish

59 Biological Fish Adults Number and time of adults passing counting, collection, or detection stations

60 Biological Fish Adults/redd The average number of adult spawners associated with a redd calculated from a spawning survey or survesy

61 Biological Fish Age Age composition from both broodstock and carcasses (scale analysis).

62 Biological Fish Age

63 Biological Fish Life History Diversity

64 Biological Fish Age at Maturity Age of hatchery and naturally produced salmon carcasses collected on spawning grounds.

65 Biological Fish Age at Maturity Age of broodstock.

66 Biological Fish Age at Maturity Age of fish at stock assessment locations.

67 Biological Fish Life History Diversity

68 Biological Fish Age Composition Age composition from both broodstock and carcasses (from scale analysis)

69 Biological Fish Age composition Age composition from both broodstock and carcasses (from scale analysis).

70 Biological Fish Age Structure

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Adult Spawner Spatial Distribution

Raw measure: Tributary spawner distribution – extensive estimates of where spawners are found within a tributary. Subbasin spawner distribution - presence/absence surveys across multiple tributaries within a subbasin.

Status & Trend or Effectiveness

Adult Spawner Spatial Distribution

Extensive area tributary spawner distribution. Raw database measure only Jay desires compatibility with NOAA Fisheries. No response from them.

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Ages of hatchery and naturally produced fish sampled at broodstock collection sites, during carcasses surveys, and/or at stock assessment sites

Status & Trend or Effectiveness

Age at maturation (frequency distribution)

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Age at migration (frequency distribution)

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Derived measure: the proportion of individuals of different ages in a stock. Determinations made from direct length measurements or from analysis of calcified structures

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

71 Biological Fish age structure Calculate the age structure of the spawning population.

72 Biological Fish Age structure age of fish as determined from age analysis of fish scales

73 Biological Fish Age Structure

74 Biological Fish Age Structure

75 Biological Fish

76 Biological Fish Age, Saltwater Calculate saltwater age

77 Biological Fish Age, Total Calculate total age

78 Biological Fish Age–at-Emigration

79 Biological Fish Age–at-Emigration

80 Biological Fish Age–at–Return

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Proportion of escapement composed of adult individuals of different brood years. Calculated for wild and hatchery origin conventional and captive brood. adult returns. Assessed via scale method, dorsal fin ray ageing, or mark recoveries.

Status & Trend or Effectiveness

Juvenile Age is determined by brood year (year when eggs are placed in the gravel) Then Age is determined by life stage of that year . Methods to age Chinook captured in screwtrap are by dates; fry – prior to July 1; parr – July 1-August 31; presmolt – September 1 – December 31; smolt – January 1 – June 30; yearlings – July 1 – with no migration until following spring. The age class structure of juveniles is determined using length frequency breakouts for natural-origin fish. Scales have been collected from natural-origin juveniles, however, analysis of the scales have never been completed. The age of hatchery-origin fish is determined through a VIE marking program which identifies fish by brood year. For steelhead we attempt to use length frequency but typically age of juvenile steelhead is not calculated.

Status & Trend or Effectiveness

Age structure of spawners

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Raw measure (primary): Age distribution of emigrants (e.g., proportion of emigrants at fry, parr, pre-smolt, and smolt stages) from tributaries determined from rotary screw trap or weir collection, scale collection, or inferences from size.

Status & Trend or Effectiveness

Juvenile Age is determined by brood year (year when eggs are placed in the gravel) Then Age is determined by life stage of that year . Methods to age Chinook captured in screwtrap are by dates; fry – prior to July 1; parr – July 1-August 31; presmolt – September 1 – December 31; smolt – January 1 – June 30; yearlings – July 1 – with no migration until following spring. The age class structure of juveniles is determined using length frequency breakouts for natural-origin fish. Scales have been collected from natural-origin juveniles, however, analysis of the scales have never been completed. The age of hatchery-origin fish is determined through a VIE marking program which identifies fish by brood year. For steelhead we attempt to use length frequency but typically age of juvenile steelhead is not calculated.

Status & Trend or Effectiveness

Raw measure (primary): Age distribution of spawners on spawning ground determined from length or calcified structure analysis from carcass surveys.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

81 Biological Fish Age–at–Return

82 Physical Watershed Agricultural_Cropland

83 Physical Watershed Agricultural_Cropland

84 Physical Watershed Agricultural_Cropland

85 Physical Watershed

86 Physical Watershed

87 Physical Watershed

88 Physical Watershed

89 Physical Watershed

90 Physical Watershed

91 Physical Watershed Agricultural_Orchards

Status & Trend or Effectiveness

Age distribution of spawners on spawning ground. Calculated for wild and hatchery conventional and captive brood adult returns. Assessed via scale method, dorsal fin ray ageing, or mark recoveries.

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Agricultural_IrrigationEquipment

Status & Trend or Effectiveness

Watershed Condition

Agricultural_IrrigationEquipment

Status & Trend or Effectiveness

Watershed Condition

Agricultural_IrrigationEquipment

Status & Trend or Effectiveness

Watershed Condition

Agricultural_LivestockUse

Status & Trend or Effectiveness

Watershed Condition

Agricultural_LivestockUse

Status & Trend or Effectiveness

Watershed Condition

Agricultural_LivestockUse

Status & Trend or Effectiveness

Watershed Condition

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

92 Physical Watershed Agricultural_Orchards

93 Physical Watershed Agricultural_Orchards

94 Physical Watershed Agricultural_Pasture

95 Physical Watershed Agricultural_Pasture

96 Physical Watershed Agricultural_Pasture

97 Physical Watershed Agricultural_Poultry

98 Physical Watershed Agricultural_Poultry

99 Physical Watershed Agricultural_Poultry

100 Physical Watershed

101 Physical Watershed

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Agricultural_WaterWithdrawal

Status & Trend or Effectiveness

Watershed Condition

Agricultural_WaterWithdrawal

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

102 Physical Watershed

103 Physical

104 Physical Air Quality Air temperature

105 Physical Air temperature

106 Physical Average air temperature during time frame

107 Physical Air Temperatures (°C)

108 Biological Other Algae

109 Physical Algae No Data Definition Exists

110 Physical ALGAE

111 Physical ALGAE

112 Physical ALGAE

113 Physical ALGAE

Status & Trend or Effectiveness

Watershed Condition

Agricultural_WaterWithdrawal

Status & Trend or Effectiveness

Environmental Condition

Air Quality (High Ozone Levels)

This indicator reports the percentage of air pollution monitoring stations in urban and suburban areas with "high" ozone concentrations at least 1, 4, 10, and 25 days a year. Ground-level ozone is considered high when the 8-hour average concentration exceeds 0.08 parts per million (ppm). Violations of federal air quality standards are triggered by ozone concentrations exceeding this level, on average, for 4 or more days per year over three consecutive years. For this reason, the maps show monitoring stations with less than 4 days and 4 or more days of high concentrations in 2004.

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Air Temperature: FLIR / Temp

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

114 Physical ALGAE

115 Biological Other Algae / chlorophyll

116 Biological Species Algae- percent cover

117 Biological Species

118 Biological Other Algal Biomass (AFDW)

119 Biological Other Algal Chlorophyll a

120 Biological Other Algal Productivity

121 Physical Alkalinity

122 Biological Fish Allele frequency Allele Frequency is based on Microsatellite genotypes

123 Biological Fish Allelic richness

124 Physical Water Quality

125 Physical Ammonia

126 Biological Other

127 Biological Other Amphibians

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Algae- presence/species composition

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Altered Freshwater Ecosystems

This indicator of alteration reports the percentage of: Stream and river miles that have been leveed, channelized, or impounded behind a dam; Ponds and lake shoreline-miles that have agricultural or urban/suburban land cover within about 100 feet of the water’s edge (reservoirs and constructed lakes are excluded); Riparian zone miles (the habitat at the edge of streams and rivers) that have agricultural or urban/suburban land cover within about 100 feet of the water’s edge; and Wetland acres that have been excavated, impounded, diked, partially drained, or farmed

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Amphibian recovery rates

Status & Trend or Effectiveness

Page 28: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

128 Biological Species Amphibians

129 Biological Fish Anadromous Fish

130 Biological Other

131 Physical

132 Biological Other

133 Physical Area

134 Physical

135 Physical Water Quality

136 Physical

137 Physical Armoring

138 Physical Armoring

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Anadromous fish abundance, distribution, and life histories Numbers and distributions of salmonids. This grouping includes “canary-in-the- coalmine” species, as well as fish that are listed or vulnerable to listing. It also tracks the numbers and distribution of species throughout the measurement unit. The species conservation plans being formulated by the ODF&W will include life history monitoring needs. Species, age, count (snorkel-ing and electrofishing). Adults will have to be monitored with a separate sample.

Status & Trend or Effectiveness

Animal Deaths and Deformities

This indicator reports on unusual mortality events for waterfowl, fish, amphibians, and mammals, and on deformity events for amphibians. Only data on waterfowl mortality can be reported at this time.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Aquatic and wetland habitat composition index; relative abundance of:

Status & Trend or Effectiveness

Aquatic macroinvertebrates

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Area Covered By Non-native Plants

This indicator describes the degree to which non-native plants are found in U.S. forests. It will report the percentage of the total area covered by overstory (large trees that form the canopy) and understory (shrubs, ground plants, and smaller trees) that is made up of non-native plants.

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Areas with Depleted Oxygen

This indicator will report the percentage of area of estuaries and coastal waters out to 25 miles whose lowest oxygen levels fall within one of several concentration ranges for at least 1 month. These ranges are: anoxic (no oxygen present), hypoxic (up to 2 parts per million, or ppm), low (between 2 and 4 ppm), and adequate (more than 4 ppm). In addition, for each region the percentage of coastal and estuarine waters that are hypoxic for at least 1 month will be reported.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Armor and sub amour layer

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Page 29: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

139 Physical Artificial structures

140 Physical Artificial structures

141 Physical ArtificialStructures

142 Physical ArtificialStructures

143 Physical ArtificialStructures

144 Physical ArtificialStructures

145 Physical ArtificialStructures

146 Biological Fish Ascendency

147 Biological Macroinvertebrates Assemblage_ID_Flag

148 Biological Macroinvertebrates Assemblage_ID_Flag

149 Biological Macroinvertebrates Assemblage_ID_Flag

150 Biological Macroinvertebrates Assemblage_ID_Flag

151 Biological Macroinvertebrates Assemblage_ID_Flag

152 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Habitat Quality & Quantity

Area of the channel covered by artificial structures including those placed in the channel for fish restoration, structures discarded in stream (tires, old cars, etc.), or those placed in the stream for diversions, impoundments, channel stabilization, or other purposes

Status & Trend or Effectiveness

Habitat Quality & Quantity

In-channel artificial structures may include those designed for fish habitat enhancement and also those discarded (e.g., cars or tires) or purposefully placed for diversion, impoundment, channel stabilization, or other purposes.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 30: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

153 Biological Macroinvertebrates Assemblage_ID_Flag

154 Biological Macroinvertebrates Assemblage_ID_Flag

155 Biological Macroinvertebrates Assemblage_ID_Flag

156 Biological Macroinvertebrates Assemblage_ID_Flag

157 Biological Macroinvertebrates Assemblage_ID_Flag

158 Biological Macroinvertebrates Assemblage_ID_Flag

159 Biological Macroinvertebrates Assemblage_ID_Flag

160 Biological Macroinvertebrates Assemblage_ID_Flag

161 Biological Macroinvertebrates Assemblage_ID_Flag

162 Biological Macroinvertebrates Assemblage_ID_Flag

163 Biological Macroinvertebrates Assemblage_ID_Flag

164 Biological Macroinvertebrates Assemblage_ID_Flag

165 Biological Macroinvertebrates Assemblage_ID_Flag

166 Biological Macroinvertebrates Assemblage_ID_Flag

167 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 31: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

168 Biological Macroinvertebrates Assemblage_ID_Flag

169 Biological Macroinvertebrates Assemblage_ID_Flag

170 Biological Macroinvertebrates Assemblage_ID_Flag

171 Biological Macroinvertebrates Assemblage_ID_Flag

172 Biological Macroinvertebrates Assemblage_ID_Flag

173 Biological Macroinvertebrates Assemblage_ID_Flag

174 Biological Macroinvertebrates Assemblage_ID_Flag

175 Biological Macroinvertebrates Assemblage_ID_Flag

176 Biological Macroinvertebrates Assemblage_ID_Flag

177 Biological Macroinvertebrates Assemblage_ID_Flag

178 Biological Macroinvertebrates Assemblage_ID_Flag

179 Biological Macroinvertebrates Assemblage_ID_Flag

180 Biological Macroinvertebrates Assemblage_ID_Flag

181 Biological Macroinvertebrates Assemblage_ID_Flag

182 Biological Macroinvertebrates Assemblage_ID_Flag

183 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 32: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

184 Biological Macroinvertebrates Assemblage_ID_Flag

185 Biological Macroinvertebrates Assemblage_ID_Flag

186 Biological Macroinvertebrates Assemblage_ID_Flag

187 Biological Macroinvertebrates Assemblage_ID_Flag

188 Biological Macroinvertebrates Assemblage_ID_Flag

189 Biological Macroinvertebrates Assemblage_ID_Flag

190 Biological Macroinvertebrates Assemblage_ID_Flag

191 Biological Macroinvertebrates Assemblage_ID_Flag

192 Biological Macroinvertebrates Assemblage_ID_Flag

193 Biological Macroinvertebrates Assemblage_ID_Flag

194 Biological Macroinvertebrates Assemblage_ID_Flag

195 Biological Macroinvertebrates Assemblage_ID_Flag

196 Biological Macroinvertebrates Assemblage_ID_Flag

197 Biological Macroinvertebrates Assemblage_ID_Flag

198 Biological Macroinvertebrates Assemblage_ID_Flag

199 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

200 Biological Macroinvertebrates Assemblage_ID_Flag

201 Biological Macroinvertebrates Assemblage_ID_Flag

202 Biological Macroinvertebrates Assemblage_ID_Flag

203 Biological Macroinvertebrates Assemblage_ID_Flag

204 Biological Macroinvertebrates Assemblage_ID_Flag

205 Biological Macroinvertebrates Assemblage_ID_Flag

206 Biological Macroinvertebrates Assemblage_ID_Flag

207 Biological Macroinvertebrates Assemblage_ID_Flag

208 Biological Macroinvertebrates Assemblage_ID_Flag

209 Biological Macroinvertebrates Assemblage_ID_Flag

210 Biological Macroinvertebrates Assemblage_ID_Flag

211 Biological Macroinvertebrates Assemblage_ID_Flag

212 Biological Macroinvertebrates Assemblage_ID_Flag

213 Biological Macroinvertebrates Assemblage_ID_Flag

214 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

215 Biological Macroinvertebrates Assemblage_ID_Flag

216 Biological Macroinvertebrates Assemblage_ID_Flag

217 Biological Macroinvertebrates Assemblage_ID_Flag

218 Biological Macroinvertebrates Assemblage_ID_Flag

219 Biological Macroinvertebrates Assemblage_ID_Flag

220 Biological Macroinvertebrates Assemblage_ID_Flag

221 Biological Macroinvertebrates Assemblage_ID_Flag

222 Biological Macroinvertebrates Assemblage_ID_Flag

223 Biological Macroinvertebrates Assemblage_ID_Flag

224 Biological Macroinvertebrates Assemblage_ID_Flag

225 Biological Macroinvertebrates Assemblage_ID_Flag

226 Biological Macroinvertebrates Assemblage_ID_Flag

227 Biological Macroinvertebrates Assemblage_ID_Flag

228 Biological Macroinvertebrates Assemblage_ID_Flag

229 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 35: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

230 Biological Macroinvertebrates Assemblage_ID_Flag

231 Biological Macroinvertebrates Assemblage_ID_Flag

232 Biological Macroinvertebrates Assemblage_ID_Flag

233 Biological Macroinvertebrates Assemblage_ID_Flag

234 Biological Macroinvertebrates Assemblage_ID_Flag

235 Biological Macroinvertebrates Assemblage_ID_Flag

236 Biological Macroinvertebrates Assemblage_ID_Flag

237 Biological Macroinvertebrates Assemblage_ID_Flag

238 Biological Macroinvertebrates Assemblage_ID_Flag

239 Biological Macroinvertebrates Assemblage_ID_Flag

240 Biological Macroinvertebrates Assemblage_ID_Flag

241 Biological Macroinvertebrates Assemblage_ID_Flag

242 Biological Macroinvertebrates Assemblage_ID_Flag

243 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 36: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

244 Biological Macroinvertebrates Assemblage_ID_Flag

245 Biological Macroinvertebrates Assemblage_ID_Flag

246 Biological Macroinvertebrates Assemblage_ID_Flag

247 Biological Macroinvertebrates Assemblage_ID_Flag

248 Biological Macroinvertebrates Assemblage_ID_Flag

249 Biological Macroinvertebrates Assemblage_ID_Flag

250 Biological Macroinvertebrates Assemblage_ID_Flag

251 Biological Macroinvertebrates Assemblage_ID_Flag

252 Biological Macroinvertebrates Assemblage_ID_Flag

253 Biological Macroinvertebrates Assemblage_ID_Flag

254 Biological Macroinvertebrates Assemblage_ID_Flag

255 Biological Macroinvertebrates Assemblage_ID_Flag

256 Biological Macroinvertebrates Assemblage_ID_Flag

257 Biological Macroinvertebrates Assemblage_ID_Flag

258 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

259 Biological Macroinvertebrates Assemblage_ID_Flag

260 Biological Macroinvertebrates Assemblage_ID_Flag

261 Biological Macroinvertebrates Assemblage_ID_Flag

262 Biological Macroinvertebrates Assemblage_ID_Flag

263 Biological Macroinvertebrates Assemblage_ID_Flag

264 Biological Macroinvertebrates Assemblage_ID_Flag

265 Biological Macroinvertebrates Assemblage_ID_Flag

266 Biological Macroinvertebrates Assemblage_ID_Flag

267 Biological Macroinvertebrates Assemblage_ID_Flag

268 Biological Macroinvertebrates Assemblage_ID_Flag

269 Biological Macroinvertebrates Assemblage_ID_Flag

270 Biological Macroinvertebrates Assemblage_ID_Flag

271 Biological Macroinvertebrates Assemblage_ID_Flag

272 Biological Macroinvertebrates Assemblage_ID_Flag

273 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 38: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

274 Biological Macroinvertebrates Assemblage_ID_Flag

275 Biological Macroinvertebrates Assemblage_ID_Flag

276 Biological Macroinvertebrates Assemblage_ID_Flag

277 Biological Macroinvertebrates Assemblage_ID_Flag

278 Biological Macroinvertebrates Assemblage_ID_Flag

279 Biological Macroinvertebrates Assemblage_ID_Flag

280 Biological Macroinvertebrates Assemblage_ID_Flag

281 Biological Macroinvertebrates Assemblage_ID_Flag

282 Biological Macroinvertebrates Assemblage_ID_Flag

283 Biological Macroinvertebrates Assemblage_ID_Flag

284 Biological Macroinvertebrates Assemblage_ID_Flag

285 Biological Macroinvertebrates Assemblage_ID_Flag

286 Biological Macroinvertebrates Assemblage_ID_Flag

287 Biological Macroinvertebrates Assemblage_ID_Flag

288 Biological Macroinvertebrates Assemblage_ID_Flag

289 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

290 Biological Macroinvertebrates Assemblage_ID_Flag

291 Biological Macroinvertebrates Assemblage_ID_Flag

292 Biological Macroinvertebrates Assemblage_ID_Flag

293 Biological Macroinvertebrates Assemblage_ID_Flag

294 Biological Macroinvertebrates Assemblage_ID_Flag

295 Biological Macroinvertebrates Assemblage_ID_Flag

296 Biological Macroinvertebrates Assemblage_ID_Flag

297 Biological Macroinvertebrates Assemblage_ID_Flag

298 Biological Macroinvertebrates Assemblage_ID_Flag

299 Biological Macroinvertebrates Assemblage_ID_Flag

300 Biological Macroinvertebrates Assemblage_ID_Flag

301 Biological Macroinvertebrates Assemblage_ID_Flag

302 Biological Macroinvertebrates Assemblage_ID_Flag

303 Biological Macroinvertebrates Assemblage_ID_Flag

304 Biological Macroinvertebrates Assemblage_ID_Flag

305 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

306 Biological Macroinvertebrates Assemblage_ID_Flag

307 Biological Macroinvertebrates Assemblage_ID_Flag

308 Biological Macroinvertebrates Assemblage_ID_Flag

309 Biological Macroinvertebrates Assemblage_ID_Flag

310 Biological Macroinvertebrates Assemblage_ID_Flag

311 Biological Macroinvertebrates Assemblage_ID_Flag

312 Biological Macroinvertebrates Assemblage_ID_Flag

313 Biological Macroinvertebrates Assemblage_ID_Flag

314 Biological Macroinvertebrates Assemblage_ID_Flag

315 Biological Macroinvertebrates Assemblage_ID_Flag

316 Biological Macroinvertebrates Assemblage_ID_Flag

317 Biological Macroinvertebrates Assemblage_ID_Flag

318 Biological Macroinvertebrates Assemblage_ID_Flag

319 Biological Macroinvertebrates Assemblage_ID_Flag

320 Biological Macroinvertebrates Assemblage_ID_Flag

321 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

322 Biological Macroinvertebrates Assemblage_ID_Flag

323 Biological Macroinvertebrates Assemblage_ID_Flag

324 Biological Macroinvertebrates Assemblage_ID_Flag

325 Biological Macroinvertebrates Assemblage_ID_Flag

326 Biological Macroinvertebrates Assemblage_ID_Flag

327 Biological Macroinvertebrates Assemblage_ID_Flag

328 Biological Macroinvertebrates Assemblage_ID_Flag

329 Biological Macroinvertebrates Assemblage_ID_Flag

330 Biological Macroinvertebrates Assemblage_ID_Flag

331 Biological Macroinvertebrates Assemblage_ID_Flag

332 Biological Macroinvertebrates Assemblage_ID_Flag

333 Biological Macroinvertebrates Assemblage_ID_Flag

334 Biological Macroinvertebrates Assemblage_ID_Flag

335 Biological Macroinvertebrates Assemblage_ID_Flag

336 Biological Macroinvertebrates Assemblage_ID_Flag

337 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

338 Biological Macroinvertebrates Assemblage_ID_Flag

339 Biological Macroinvertebrates Assemblage_ID_Flag

340 Biological Macroinvertebrates Assemblage_ID_Flag

341 Biological Macroinvertebrates Assemblage_ID_Flag

342 Biological Macroinvertebrates Assemblage_ID_Flag

343 Biological Macroinvertebrates Assemblage_ID_Flag

344 Biological Macroinvertebrates Assemblage_ID_Flag

345 Biological Macroinvertebrates Assemblage_ID_Flag

346 Biological Macroinvertebrates Assemblage_ID_Flag

347 Biological Macroinvertebrates Assemblage_ID_Flag

348 Biological Macroinvertebrates Assemblage_ID_Flag

349 Biological Macroinvertebrates Assemblage_ID_Flag

350 Biological Macroinvertebrates Assemblage_ID_Flag

351 Biological Macroinvertebrates Assemblage_ID_Flag

352 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

353 Biological Macroinvertebrates Assemblage_ID_Flag

354 Biological Macroinvertebrates Assemblage_ID_Flag

355 Biological Macroinvertebrates Assemblage_ID_Flag

356 Biological Macroinvertebrates Assemblage_ID_Flag

357 Biological Macroinvertebrates Assemblage_ID_Flag

358 Biological Macroinvertebrates Assemblage_ID_Flag

359 Biological Macroinvertebrates Assemblage_ID_Flag

360 Biological Macroinvertebrates Assemblage_ID_Flag

361 Biological Macroinvertebrates Assemblage_ID_Flag

362 Biological Macroinvertebrates Assemblage_ID_Flag

363 Biological Macroinvertebrates Assemblage_ID_Flag

364 Biological Macroinvertebrates Assemblage_ID_Flag

365 Biological Macroinvertebrates Assemblage_ID_Flag

366 Biological Macroinvertebrates Assemblage_ID_Flag

367 Biological Macroinvertebrates Assemblage_ID_Flag

368 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

369 Biological Macroinvertebrates Assemblage_ID_Flag

370 Biological Macroinvertebrates Assemblage_ID_Flag

371 Biological Macroinvertebrates Assemblage_ID_Flag

372 Biological Macroinvertebrates Assemblage_ID_Flag

373 Biological Macroinvertebrates Assemblage_ID_Flag

374 Biological Macroinvertebrates Assemblage_ID_Flag

375 Biological Macroinvertebrates Assemblage_ID_Flag

376 Biological Macroinvertebrates Assemblage_ID_Flag

377 Biological Macroinvertebrates Assemblage_ID_Flag

378 Biological Macroinvertebrates Assemblage_ID_Flag

379 Biological Macroinvertebrates Assemblage_ID_Flag

380 Biological Macroinvertebrates Assemblage_ID_Flag

381 Biological Macroinvertebrates Assemblage_ID_Flag

382 Biological Macroinvertebrates Assemblage_ID_Flag

383 Biological Macroinvertebrates Assemblage_ID_Flag

384 Biological Macroinvertebrates Assemblage_ID_Flag

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

385 Biological Macroinvertebrates Assemblage_ID_Flag

386 Biological Macroinvertebrates Assemblage_ID_Flag

387 Biological Other

388 Biological Other

389 Physical Species

390 Physical Hydrology Average Flow The rate at which water moves by a given point.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

At-Risk Freshwater Plant Communities

This indicator reports on the percentage of wetland and riparian plant communities that are at different degrees of risk of elimination. These status ranks are based on such factors as the remaining number and condition of occurrences of the community, the remaining acreage, and the severity of threats to the community type. Degrees of risk reported here range from very high (“critically imperiled” communities often are found in five or fewer places or have experienced very steep declines) to moderate (“vulnerable” communities often are found in 80 or fewer places or have experienced widespread declines). Communities ranked as “secure” or “apparently secure” are not listed. In all cases, a wide variety of factors contribute to overall ratings.

Status & Trend or Effectiveness

At-Risk Native Freshwater Species

This indicator reports on the relative risk of extinction of native freshwater species. The risk categories are based on such factors as the number and condition of individuals and populations, the area occupied by the species, population trends, and known threats. Degrees of risk reported here range from very high (“critically imperiled” species often are found in five or fewer places or have experienced very steep declines) to moderate (“vulnerable” species often are found in fewer than 80 places or have recently experienced widespread declines). In all cases, a wide variety of factors contribute to the overall ratings. “Freshwater species” live in freshwater, wetland, or riparian habitats during at least part of their life cycle and depend on these habitats for survival.

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

At-Risk Native Marine Species  

This indicator will report on the relative risk of extinction of native marine species, both plants and animals. The risk categories are based on such factors as the number and condition of individuals and populations, the area occupied by the species, population trends, and known threats. Degrees of risk to be reported here range from very high (“critically imperiled” species are often found in five or fewer places or have experienced very steep declines) to moderate (“vulnerable” species are often found in fewer than 80 places or have recently experienced widespread declines). Species ranked as “secure” or “apparently secure” would not be reported. The data would also be presented on a regional basis for estuaries and coastal waters out to 200 miles.

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

391 Quality Control Field Quality Control

392 Biological Other Bacteria

393 Physical Water Quality Bacteria

394 Other Other domain names

395 other other domain numbers

396 Physical Riparian Condition Bank

397 Physical Riparian Condition Bank

398 Physical Riparian Condition Bank

399 Physical Riparian Condition Bank

400 Physical Riparian Condition Bank

401 Physical Riparian Condition Bank

402 Event Attributes Event Attributes Bank

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Background/Reference Sample

A background sample is collected from an area outside, but near to, the area of suspected contamination.It should be collected using the same sampling methodology during the same time period as the othersamples. The background sample may be analyzed for any or all of the chemical analytes as the regularsamples. Analysis of the background sample is used to measure background concentrations of analytesof interest in the general sampling area. A background sample collected for the purpose of bioassaytesting is generally referred to as a reference sample.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Bailey Classification: Domain Name

Status & Trend or Effectiveness

Bailey Classification: Domain Number

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

General Attribute

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

403 Event Attributes Event Attributes Bank

404 Physical Bank angle

405 Physical Bank Condition

406 Physical Bank incision

407 Physical Bank Stability

408 Physical angle of left stream bank

409 Physical

410 Physical

411 Physical

412 Physical

413 Physical

414 Physical

415 Physical

416 Physical

417 Physical

418 Physical

General Attribute

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING: >90% stable; i.e. on average, less than 10% of banks are actively eroding1 AT RISK 80-90% stable NOT PROPERLY FUNCTIONING <80% stable

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Bank Angle Left & Right

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

419 Physical

420 Physical

421 Physical

422 Physical

423 Physical

424 Physical

425 Physical

426 Physical

427 Physical

428 Physical

429 Physical

430 Physical

431 Physical

432 Physical

433 Physical

434 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

435 Physical

436 Physical

437 Physical

438 Physical

439 Physical

440 Physical

441 Physical

442 Physical

443 Physical

444 Physical

445 Physical

446 Physical

447 Physical

448 Physical

449 Physical

450 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability Right Bank

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

451 Physical percent of transect showing crumbling

452 Physical Bank undercut

453 Physical Bank Undercuts

454 Physical Bankfull Channel Height channel filled by moderate-sized flood events

455 Physical Bankfull Channel Width width of channel filled by moderate-sized flood events

456 Physical Bankfull Channel Width width of stream at normal high water

457 Physical Bankfull height

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bank Stability: Crumbling Percent

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Look for bank sections where the perennial vegetation forms a dense root mat. Feel up beneath this root mat and estimate the upper extent of the undercut. This is usually slightly below bankfull stage. Bank undercuts are best used as indicators in steep channels lacking floodplains. Where a floodplain exists, the surface of the floodplain is a better indicator of bankfull stage than undercut banks that may also exist.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

458 Physical Bankfull Width Determine the average bankfull width for the reachStatus & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

459 Physical Bankfull Width

460 Physical Bankfull width

461 Physical

462 Physical Bankside which side of stream is point located on

463 Physical Bar indicator of bar presence

464 Physical Bar count

465 Physical Bar Width width of bar if present

466 Physical Barometric Pressure

467 Physical Barriers to fish Passage

468 Physical Barriers to fish Passage Miles of spawning and rearing habitat above barriers

469 Physical Barriers to fish Passage Miles of Stream Habitat above Barrier

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bankfull width will be measured at each major transect. Using the compass and laser, 10 points will be collected; Left Bankfull, Left Wetted, Thalweg, Right Wetted and Right Bankfull, including five equally spaced points estimated at 10%, 30%, 50%, 70%, and 90% across the channel (Figure 8). If the main channel is dry, collect 8 points at the transect, which include the two bankfull points, five estimated points, and a point at the deepest location in the channel (i.e., approximate “thalweg” location). Bankfull and wetted widths will also be collected in qualifying side channels. If the side channel is dry, points will be collected at both left and right bankfull locations and at the ¼ and ¾ locations of the bankfull width (Figure 9). At each intermediate transect take a point at the thalweg (in a flowing channel) or in the deepest location (in a dry channel).

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Bankfull Width and Depth

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING any man-made barriers present in watershed allow upstream and downstream fish passage at all flows AT RISK any man-made barriers present in watershed do not allow upstream and/or downstream fish passage at base/low flows NOT PROPERLY FUNCTIONING any man-made barriers present in watershed do not allow upstream and/or downstream fish passage at a range of flows

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

470 Physical Number of Barrier Remaining

471 Physical Basin Area sq miles of basin

472 Physical Basin area

473 other other Basin Name name of basin in study

474 Physical Basin Relief basin max-basin min

475 Physical Basin relief

476 Physical Bathometric mapping

477 Physical Riparian Condition

478 Physical Riparian Condition

479 Physical Riparian Condition

480 Physical Riparian Condition Beaver Signs

Status & Trend or Effectiveness

Habitat Quality & Quantity

Barriers to fish Passage Remaining

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Beaver Flow Modifications

Status & Trend or Effectiveness

Beaver Flow Modifications

Status & Trend or Effectiveness

Beaver Flow Modifications

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

481 Physical Riparian Condition Beaver Signs

482 Physical Riparian Condition Beaver Signs

483 Physical Bed-form type

484 Physical Bed-form type dominant bed material: colluvial, alluvial, bedrock

485 Physical Bedload Sediment

486 Physical Below ground biomass

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

487 Biological Macroinvertebrates Describe the composition and health of the macroinvertebrate community.Status & Trend or Effectiveness

Benthic Macroinvertebrates

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

488 Biological Other

489 Biological Water Quality

490 Biological Biodiversity

491 Physical Water Quality Benthos Substrate

492 Physical Water Quality Benthos Substrate

493 Physical Water Quality Benthos Substrate

494 Physical Water Quality Benthos Substrate

495 Physical Water Quality Benthos Transect

496 Physical Water Quality Benthos Transect

497 Physical Water Quality Benthos Transect

498 Physical Water Quality Benthos Transect

499 Biological Fish genetic variability between populations

500 Biological Other

501 Physical Big Trees 0 = Absent, 1 = Sparse, 2 = Moderate, 3 = Heavy, 4 = Very Heavy

502 Biological Other Biodiversity Index, Number of Species

Status & Trend or Effectiveness

Benthic macroinvertebrates

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Benthic macroinvertebrates- abundance

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Benthic macroinvertebrates- species composition

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Between Population Genetics

Status & Trend or Effectiveness

B-IBI per Karr and Chou

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

503 Biological Other Biological Integrity

504 Biological Other Bird Population Status

505 Biological Other Birds

506 Biological Birds Birds- migratory periods

507 Biological Birds Birds- nesting/fledging

508 Physical Water Quality BOD

509 Physical BOD

510 Physical Boulders Area of the channel covered by boulders between 25 cm and 4 m (b-axis).

511 Physical Boulders Boulders are typically basketball to car sized particles.

512 Physical Boulders

513 Physical Boulders

514 Physical Boulders

515 Physical Boulders

Status & Trend or Effectiveness See: Status of Freshwater Animal Communities: Fish and Bottom-Dwelling Animals  

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

516 Physical Boulders

517 Biological Fish Brood Escapement Rate Not defined: Used in context of Hatchery terminology, which may need to be defined for hatchery data dictionary

518 Biological Fish Brood Year Count Number of hatchery and naturally produced adults by brood year (≥ age-3).

519 Biological Fish Number of naturally and hatchery produced fish removed for broodstock

520 Physical Smaller wood that primarily affects cover but not morphology.

521 Physical BrushWoodyDebris

522 Physical BrushWoodyDebris

523 Physical BrushWoodyDebris

524 Physical BrushWoodyDebris

525 Physical BrushWoodyDebris

526 Physical Buildings

527 Physical Buildings

528 Physical Buildings

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Broodstock Collection number

Status & Trend or Effectiveness

Habitat Quality & Quantity

Brush/small woody debris (<0.3 m diameter)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

529 Physical Buildings

530 Physical Buildings

531 Physical Buildings No Data Definition Exists

532 Physical Buildings, Disturbance 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

533 Biological Fish Bycatch

534 Biological Fish Bycatch Number of non target/ non permitted fish incidentally caught in fishery

535 Biological Fish Bycatch

536 Biological Fish Bycatch Species The species of fish caught as bycatch

537 Physical Canopy big trees No Data Definition Exists

538 Physical Canopy cover

539 Physical number of grid intersection points covered by vegetation

540 Physical Canopy Cover, Rgt number of grid intersection points covered by vegetation

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Fish caught in a fishery which are not sold or kept for personal use and includes economic discards, regulatory discards, and fishery mortality due to an encounter with fishing gear that does not result in capture of fish.

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Number of fish incidentally caught in alternate fisheries. (eg. Number of Snake River Fall Chinook caught in Ocean Chinook Fishery)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Canopy Cover Left and Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

541 Physical Canopy small trees No Data Definition Exists

542 Physical Canopy vegetation type No Data Definition Exists

543 Physical CanopyBigTrees

544 Physical CanopyBigTrees

545 Physical CanopyBigTrees

546 Physical CanopyBigTrees

547 Physical CanopyBigTrees

548 Physical CanopyBigTrees

549 Physical CanopySmallTrees

550 Physical CanopySmallTrees

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

551 Physical CanopySmallTrees

552 Physical CanopySmallTrees

553 Physical CanopySmallTrees

554 Physical CanopySmallTrees

555 Physical Riparian Condition CanopyVegType

556 Physical Riparian Condition CanopyVegType

557 Physical Riparian Condition CanopyVegType

558 Physical Riparian Condition CanopyVegType

559 Physical Riparian Condition CanopyVegType

560 Biological Fish The proportion of juvenile migrants that are captured as they migrate past a trap

561 Biological Fish The proportion of juvenile migrants captured that survive and are released

562 Physical Carbon Storage

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Capture efficiency (Juvenile Migrant)

Status & Trend or Effectiveness

Capture Survival (Juvenile Migrant)

Status & Trend or Effectiveness

Environmental Condition

This indicator reports how much carbon—an essential component of all organisms—is stored in forests, including trees, soil, and plant litter on the forest floor, and in wood products. Carbon storage has become important in international negotiations on the management of greenhouse gas emissions, because increased carbon storage can be useful in offsetting emissions of carbon from fossil fuel burning and other sources. The amount of carbon stored in forests can change through the adoption of forest management practices that allow the incorporation of more plant materials into forest soils, changes in age structure (see Forest Age), and increases in the extent of forested areas (see Forest Area and Ownership).

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

563 Biological Fish Carcass count The number of spawned out carcasses encountered in a measured distance associated with a spawner survey

564 Biological Fish Number of hatchery carcasses (or PIT tagged hatchery steelhead) found in non-target and target spawning areas.

565 Biological Fish Hatchery salmon carcasses (or PIT tagged hatchery steelhead) estimated from expansion analysis

566 Biological Fish Carcass disease

567 Biological Fish Carcass distribution

568 Biological Fish Carcass length at age

569 Biological Fish Carcass scales

570 Biological Fish Carcass tissue

571 Biological Fish Catch

572 Biological Fish Catch

573 Biological Fish Number of non-target fish released.

574 Biological Fish Catch Estimate By strata use AUC effort x CPO

575 Biological Fish Catch per effort. Catch per effort.

576 Biological Fish Catch per unit effort

577 Biological Fish Salmon Juv Abundance

578 Biological Fish

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Carcass Count, Hatchery

Status & Trend or Effectiveness

Carcass Count, Hatchery estimate

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

"catch" This is the number of additional natural origin fish that would have returned in a given year if there had not been a harvest.

Status & Trend or Effectiveness

Catch and Release Number

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Catches of Coho in september trawl Survey

Status & Trend or Effectiveness

Catches of Coho in september trawl Survey

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

579 Biological Fish Salmon Juv Abundance

580 Biological Fish

581 Quality Control Sample Handeling

Status & Trend or Effectiveness

Catches of Spring Chinook in June trawl Survey

Status & Trend or Effectiveness

Catches of Spring Chinook in June trawl Survey

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Chain of Custody Procedures

Many projects will require chain of custody procedures be followed if the project comes under regulatoryscrutiny. Chain of custody may be defined as an unbroken trail of accountability that ensures thephysical security of samples, data, and records (ANSI/ASQC, 1994). Field chain of custody proceduresshould be followed from the time a sample is collected until it is relinquished to the analytical laboratory(either in person or to a shipper). A chain of custody form should be initiated when the first sample iscollected and updated continuously through the sampling event. A new chain of custody form should beprepared for each day of field sampling. Information to be entered on the chain of custody form shouldinclude sample number, date and time of sampling and names of all sampling personnel. The form mayalso include type of sample container and requested analyses.A sample is considered to be “in custody” when in the possession or view of the sampling personnel or ina secured area. A custody seal should be placed on the sample cooler when it is not in the custody of amember of the sampling team.When samples are relinquished, either to the laboratory or for shipment, the chain of custody form mustbe completed by the sample deliverer. It should include the printed and signed name of the deliverer, theorganization that person represents, date and time of sample relinquishment, and method of shipment, ifappropriate.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

582 Physical

583 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Change in acres of NWI or HGM Habitat Classification, use NWI habitat classification tool for other program comparison

Status & Trend or Effectiveness

Habitat Quality & Quantity

Change in Bank Materials

Any clear change in particle size may indicate the operation of different processes (e.g., coarse, scoured gravel moving as bed load in the active channel giving way to fine sand or silt deposited by overflow). Look for breaks from coarse, scoured, water-transported particles to a finer matrix that may exhibit some soil structure or movement. Changes in slope may also be associated with a change in particle size. Change need not necessarily be from coarse-to-fine material, but may be from fine-to-coarse.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

584 Physical Topography Change in ElevationStatus & Trend or Effectiveness

Stream gradient is the average slope of the water’s surface measured from the beginning of the reach to the end of the reach. To obtain gradient we use the change in elevation measured between left wetted at Transect A and left wetted at Transect K.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

585 Physical

586 Physical Water Quality

587 Physical Water Quality

588 Physical Topography

589 Physical Change in Slope

590 Physical Change in Vegetation

591 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Change in impervious surface condition

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Change in Macro detritus

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Change in Micro detritus

Status & Trend or Effectiveness

Change in Reach Elevation

Measure the elevation change from the water surface at the downstream end of the reach to the water surface at the upstream end using a tripod and surveyors’ level. Measure the elevation change twice, with the level at a different physical location each time and record to the nearest cm. Record the average if the 2 measurements are within 10% of each other. If not, measure the change in elevation a third time, again re-locating the level. Compare all three measurements, and at a minimum average the two closest readings.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Changes in slope occur often along the cross-section (e.g., from vertical to sloping, from sloping to vertical, or from vertical or sloping to flat at the floodplain level). The change from a vertical bank to a horizontal surface is the best identifier of the floodplain and bankfull stage, especially in low-gradient meandering streams. Many banks have multiple breaks, so examine banks at several sections of the selected reach for comparison. Slope breaks also mark the extent of stream terraces. Terraces are old floodplains that have been abandoned by a downcutting stream. They will generally have perennial vegetation, definite soil structure, and other features to distinguish them from the active floodplain. Most streams have three distinct terraces at about 2 to 4 feet, 7 to 10 feet, and 20 to 30 feet above the present stream. Avoid confusing the level of the lowers terrace with that of the floodplain; they may be close in elevation.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Look for the low limit of perennial vegetation on the bank, or a sharp break in the density or type of vegetation. On surfaces lower than the floodplain, vegetation is either absent or annual. During a series of dry years, perennial plants may invade the formerly active floodplain. Catastrophic flows may likewise alter vegetation patterns. On the floodplain (above bankfull stage) vegetation may be perennial but is generally limited to typical stream side types. Willow, alder, or dogwood often forms lines near bankfull stage. The lower limit of mosses or lichens on rocks or banks, or a break from mosses to other plants, may help identify bankfull stage.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Change of in-channel structures

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

592 Physical Hydrology Changing Stream Flows

593 Physical Water Quality Channel

594 Physical Water Quality Channel

595 Physical Water Quality Channel

596 Physical Water Quality Channel

597 Physical Channel Alteration

598 Physical Channel Alteration

599 Physical Channel Alteration

600 Physical Channel Alteration

601 Physical Channel Alteration

602 Physical Channel Alteration

603 Physical Channel Alteration

604 Physical Channel Alteration

605 Physical Channel Alteration

Status & Trend or Effectiveness

This indicator describes changes in the amount and timing of river and stream flow by reporting the percentage of monitored streams or rivers with major, moderate, and minimal changes in low flow, high flow, and the timing of these two extreme events. The indicator also describes the nature of major flow changes. Flow characteristics were measured for three recent 10-year periods and compared against 1930–1949 as a reference period.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

606 Physical Channel Alteration

607 Physical Channel Alteration

608 Physical Channel Alteration

609 Physical Channel Alteration

610 Physical Channel Alteration

611 Physical Channel Alteration

612 Physical Channel Alteration

613 Physical Channel Alteration

614 Physical Channel Alteration

615 Physical Channel Alteration

616 Physical Channel Alteration

617 Physical Channel Alteration

618 other other Channel Code M = main channel, S = side channel, A = adjacent habitat unit

619 Physical Channel cross sections

620 Physical Channel gradient

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

621 Physical Channel Location measured as Left, LCtr, Ctr, RCtr, Right

622 Physical Channel morphology

623 Physical Channel Patterns constrained, highly constrained, unconstrained, etc.

624 Physical Channel Sinuosity

625 Physical Channel Sinuosity

626 Physical Channel Sinuosity

627 Physical Channel Sinuosity

628 Physical Channel Sinuosity

629 Physical Channel Sinuosity

630 Physical Channel Sinuosity

631 Physical Channel Sinuosity

632 Physical Channel Sinuosity

633 Physical Channel Sinuosity

634 Physical Channel Sinuosity

635 Physical Channel Sinuosity

636 Physical Channel Sinuosity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

637 Physical Channel Sinuosity

638 Physical Channel Sinuosity

639 Physical Channel Sinuosity

640 Physical Channel Sinuosity

641 Physical Channel Sinuosity

642 Physical Channel Sinuosity

643 Physical Channel Sinuosity

644 Physical Channel Sinuosity

645 Physical Channel substrate

646 Physical Channel Type defined as pool - glide - riffle - rapid

647 Physical Channel type

648 Physical Channel type (Rosgen)

649 Physical Channel Unit Code

650 Physical Channel Unit Code

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

651 Physical Channel Unit Code

652 Physical Channel Unit Code

653 Physical Channel Unit Code

654 Physical Channel Unit Code

655 Physical Channel Unit Code

656 Physical Channel Unit Code

657 Physical Channel Unit Code

658 Physical Channel Unit Code

659 Physical Channel Unit Code

660 Physical Channel Width Average Average of the 5 wetted width measurements

661 Physical Channel Width Per Pool length of surveyed reach (m) / Average Bankfull width (m)

662 Physical Channel_Flow_Status

663 Physical Channel_Flow_Status

664 Physical Channel_Flow_Status

665 Physical Channel_Flow_Status

666 Physical Channel_Flow_Status

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

667 Physical Channel_Flow_Status

668 Physical Channel_Flow_Status

669 Physical Channel_Flow_Status

670 Physical Channel_Flow_Status

671 Physical Channel_Flow_Status

672 Physical Channel_Flow_Status

673 Physical Channel_Flow_Status

674 Physical Channel_Flow_Status

675 Physical Channel_Flow_Status

676 Physical Channel_Flow_Status

677 Physical Channel_Flow_Status

678 Physical Channel_Flow_Status

679 Physical Channel_Flow_Status

680 Physical Channel_Flow_Status

681 Physical Channel_Flow_Status

682 Physical Channel_Flow_Status

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

683 Physical Channelization

684 Physical Toxicology Chemical Contamination

685 Physical Toxicology Chemical Levels level of chemicals present in water sample

686 Physical Toxicology Chemical Type chemical present in water sample

687 Biological Fish Chemical Water Quality

688 Biological Fish Chemical Water Quality

689 Biological Plankton

690 Physical description of climate- info obtained from Baileys classification

691 Physical percentage cloud cover during time frame of survey

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

This indicator reports on contaminants found in urban and suburban streams and soils. The graph on the top reports the average number of contaminants detected throughout the year at urban and suburban stream sites, and the middle graph reports the percentage of stream sites with concentrations of chemical contaminants that exceeded standards or guidelines for the protection of human health or aquatic life. Compounds reported here include many pesticides, selected pesticide breakdown products, ammonia, and nitrate (because nitrate and ammonia occur naturally, they are not included in the graphs showing contaminant occurrence).

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness (refer to Hillman 2003 for broader definitions)

Status & Trend or Effectiveness

Hatchery operational measure (DO), Measured continuously at the hatchery with DO meters and 3 times daily at acclimation facilities with hand-held devices. Hatchery operational measures (NH and NO), Measured weekly only at reuse facilities (Kooskia Fish Hatchery).

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Chlorophyll Concentrations

This indicator reports the chlorophyll concentration in estuaries and ocean waters within 25 miles of shore. For ocean waters, the indicator reports the average value for the season with the highest concentration, for each region. For estuaries, the indicator will report the percentage of area in three ranges: below 5 parts per billion (ppb), between 5 and 20 ppb, and above 20 ppb, using data for the season with the highest average concentration. Chlorophyll concentration is a measure of the abundance of algae, also called phytoplankton, which account for most of the plant production in the ocean. Phytoplankton are difficult to measure directly, yet they are the direct or indirect source of food for most marine animals.

Status & Trend or Effectiveness

Environmental Condition

Climate Description: Bailey Classification

Status & Trend or Effectiveness

Environmental Condition

Cloud Cover %: FLIR / Temp

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

692 Physical Coastal Erosion

693 Physical

694 Biological Fish Coded wire tag recovery

695 Biological Fish Coefficient of variation Variability of adults or juveniles

696 Biological fish

697 Biological Fish Competition

698 Time Completion Date:

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

The indicator will report how much of the U.S. coast is managed in an attempt to control erosion and how much remains in a “natural” state, with no erosion control. For unmanaged areas, the indicator reports what fraction is eroding, accreting (gaining land area), or stable.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Coastal Living Habitats (Coral Reefs, Wetlands, Seagrasses, and Shellfish Beds)

This indicator reports the acreage of coastal habitats whose defining feature is that they are composed of living organisms (such as seagrasses, mangrove forests, and coastal wetlands) or are built by them (such as coral reefs or shellfish beds). These areas provide habitat for many other organisms, and in some cases (such as shellfish beds) they continue to do so even after the animals that built them are no longer living.

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Commercial Fish and Shellfish Landings

This indicator reports the weight of fish, shellfish, and other products taken from U.S. waters. Landings, plus certain aquaculture harvests, are shown for five regions that cover all waters out to the 200-mile territorial limit. The amount of fish and shellfish caught for food, meal, and oil is a measure of society’s reliance on the seas for these products. Of total landings, about 70% is for human consumption, about 20% is for meal, oil, and other industrial purposes, and the remainder is used for bait and animal feed.

Status & Trend or Effectiveness

Implementation Monitoring

General Attribute

The date the action is intended to be completed for planning and sequencing purposes and the actual date the action is completed

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

699

700 Biological Fish Condition factor

701 Physical Species

702 Biological Fish

703 Biological Fish

General Attribute

Compliance Monitoring

Compliance monitoring determines whether specified criteria are being met as a direct result of an implemented action. The criteria can be numeric or descriptive, but result from the direct impact of the action, not the indirect impact of the action.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Condition of Bottom-Dwelling Animals

This indicator describes the condition of worms, clams, snails, and shrimplike animals in bottom sediments (“benthic communities”) by reporting the percentage of area in which these communities are in “undegraded,” “moderate,” and “degraded” condition. The indicator is calculated by comparing the number and kinds of animals found in a sampling site with those that would be expected in an undisturbed area of similar character (a reference site). The indicator would be reported for estuaries and for ocean areas within 25 miles of the coast. Benthic communities reflect the influence of contaminants, oxygen levels, physical changes in habitat (such as from trawling), and shifts in temperature or salinity. They are a good indicator because contaminants accumulate in bottom sediments and hypoxia (lack of oxygen) is most severe there. Also, these animals live several years, so their response reflects exposure to these stresses over a long period, and they are fairly immobile, so their condition strongly reflects conditions at the site where they were collected (see the depleted oxygen and sediment contamination indicators).

Status & Trend or Effectiveness

Condition of Juveniles at Emigration

Derived measure: a species-specific length to weight relationship used as an index of growth (W/L3). Comparative length:weight data are determined from in-hatchery evaluations, tributaries and rotary screw trap operation, or weir collection.

Status & Trend or Effectiveness

Condition of Juveniles at Emigration

Condition factor by life stage of juveniles is generated using the formula: K = (w/l3)(104) where K is the condition factor, w is the weight in grams (g), and l is the length in millimeters (Everhart and Youngs 1992).

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

704 Physical Water Quality Conductivity

705 Physical Conductivity

706 Conductivity Measures waters ability to conduct an electric current and is directly related to the total dissolved salts (ions) in the water.

707 Physical should be within 7% for data quality A, 10% for B

708 Physical Water Quality ?

709 Physical Confinement strongly confined, moderately confined, variable, unconfined

710 Physical Miles of Fish Habitat, Numbers of barriers, (Dams, Culverts, Tide gates)

711 Biological Fish Connectivity to river

Status & Trend or Effectiveness

Measure conductivity once at the upstream end of each reach using a hand held conductivity meter. Measure immediately after transects are laid out and upstream of the last transect flag to insure that the channel sediment has not been disturbed. Take the reading in flowing water, near the center of the channel.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Conductivity, Relative Percent Difference (RPD)

Status & Trend or Effectiveness

Conductivity, Sample Conductivity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Connectivity -- Inventory of Passage barriers and Total edge, density and sinuosity of floodplain and tidal channels.

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

712

713 Limits land use impacts harmful to salmon habitat such as sediment, contaminants, nutrient loading.

714 Minimizes the inputs of nutrients and bacteria into stream corridor.

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Conservation: Easements

Benefits ecological features through legal protection of critical areas, potentially allowing for complimentary restoration strategies to take place.

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Conservation: Land conservation

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Conservation: Manure management

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

715 Deters livestock from degrading stream-side areas.

716 Quality Control Field Quality Control Container Blank

717 Physical Contaminants

718 Physical Sediment

719 Physical

720 Physical

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Conservation: Riparian fencing

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

A container blank is prepared at the analytical laboratory by filling one of the project’s sample containerswith analyte-free water or organic solvent. The blank is retained at the laboratory and analyzed alongwith samples collected in the same batch of containers. Container blank results are used to evaluate anycontamination present in the sample containers.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Contamination in Bottom Sediments

This indicator reports the percentage of sediments that exceed federal guidelines for concentrations of four major classes of contaminants––pesticides, polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs), and heavy metals. The indicator reports on estuaries and ocean waters within 25 miles of the coast that have bottom sediments with varying degrees of contamination, the lowest indicating "possible adverse effects" on fish and other aquatic organisms from 1 to 4 contaminants and the highest indicating "probable adverse effects" from at least one contaminant.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Conversions from farming or forestry or grasslands to urban or rural residential and back again,

Status & Trend or Effectiveness

Habitat Quality & Quantity

Conversions to conservation Conversions to conservation use,

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

721 Biological Plankton Copepod Species

722 Biological Plankton Copepod Species

723 Biological Other

724 Biological Fish Spawner surveys of index & extensive reaches (e.g. EMAP style design)

725 Biological Fish Spawner surveys of extensive reaches

726 Biological Fish Surveys of index & extensive reaches (e.g. EMAP style design)

727 Financial Cost The amount of funds being expended on this project in dollars.

728 Physical Cover

729 Biological Fish CPH Catch per hour

730 Biological Fish CPUE

Status & Trend or Effectiveness

Copepod Species Richness

Status & Trend or Effectiveness

Copepod Species Richness

Status & Trend or Effectiveness

Copepod Species Richness

Status & Trend or Effectiveness

Core & dispersed production areas

Status & Trend or Effectiveness

Core & dispersed production areas

Status & Trend or Effectiveness

Core & dispersed production areas

Implementation Monitoring

General Attribute

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

731 Mimics habitat function and complexity through the placement of material at a given elevation.

732 Restores more natural flows and mimics tidal channel structure.

733 Physical Cropland, Total

734 Physical Cross-section survey

735 Physical Culverts

736 Biological Fish Dam Counts

737 Biological Fish Dam counts

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Creation: Material placement

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Creation: Tidal channel modification

Status & Trend or Effectiveness

Environmental Condition

This indicator reports the amount of land used for crops, including pasture and hay. Acreage that is enrolled in long-term set-aside programs, such as the Conservation Reserve Program (CRP) is not considered to be part of this indicator. In addition, the size of and fluctuations in the agricultural land base provide important baseline information for other indicators, such as Farmland Landscape

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

738 Other Other Dam Height height of dam

739 Biological Fish Dam passage mortality

740 Physical Dam Plunge Pool Depth depth of dam plunge pool

741 Other Other Dam Type what the dam is built of

742 Physical Dams

743 Physical Dams & diversions

744 Other Other Data Origin where did data originate?

745 Time Date Updated: The date the information was updated in the database by the program implementer.

746 Physical Riparian Condition

747 Physical Riparian Condition

748 Physical Riparian Condition

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Implementation Monitoring

General Attribute

Status & Trend or Effectiveness

DBH (**0.3-1 ~ create domain table)

Status & Trend or Effectiveness

DBH (**0.3-1 ~ create domain table)

Status & Trend or Effectiveness

DBH (**0.3-1 ~ create domain table)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

749 Physical Riparian Condition

750 Physical Riparian Condition

751 Physical Temp and Salintiy

752 Physical See: Ocean Condition index: Deep Water Temp & Salinity

753 All Limiting Factors Limiting Factors

754 All Limiting Factors Limiting Factors

755 All Limiting Factors Limiting Factors

756 All Limiting Factors Limiting Factors

Status & Trend or Effectiveness

DBH (**0.3-1 ~ create domain table)

Status & Trend or Effectiveness

DBH (**0.3-1 ~ create domain table)

Status & Trend or Effectiveness

Environmental Condition

Deep Water Temp & Salinity

Status & Trend or Effectiveness

Environmental Condition

Deep Water Temp & Salinity

Degraded Habitat –Channel Structure andComplexity

The loss, impairment or degradation of channels; a suitable distribution of riffles and functionalpools; and functional amounts and sizes of large woody debris or other channel structure.(For ESUs/DPSs that migrate through the Columbia River, this limiting factor would apply totributaries.)

Degraded Habitat –Estuarine and NearshoreMarine

The loss, impairment or degradation of intertidal, salt marsh and other functional estuarine andmarine vegetation; altered amounts, quality, distribution and timing of freshwater inflows; lossof estuary complexity; access to previously available habitats; and inadequate large woodydebris. (This factor does not include effects caused by mainstem Columbia Riverhydropower.)

Degraded Habitat –Fish Passage

The total or partial human caused blockage to previously accessible habitat that eliminates ordecreases migration ability or alters the range of conditions under which migration is possible.This may include seasonal or periodic total migration blockage. This category also includesentrainment in irrigation diversions. (For ESUs/DPSs that migrate through the ColumbiaRiver, this limiting factor would apply to tributaries.)

Degraded Habitat –Floodplain Connectivityand Function

The loss, impairment or degradation of floodplain connectivity; access to previously available habitats (seasonal wetlands, off channel habitat, side channels); and a connected andfunctional hyporheic zone. (For ESUs/DPSs that migrate through the Columbia River, thislimiting factor would apply to tributaries.)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

757 All Limiting Factors Limiting Factors

758 All Limiting Factors Limiting Factors

759 All Limiting Factors Limiting Factors

760 All Limiting Factors Limiting Factors

761 Physical Change in condition of physical habitat -pool density and depth, cover, wood quantity and quality

762 Physical Change in area, distribution, and type of tidal and submerged wetlands

763 All Limiting Factors Limiting Factors

764 Physical Change in condition of physical habitat -pool density and depth, cover, wood quantity and quality

Degraded Habitat –Riparian Areas and LWDRecruitment

Loss, degradation or impairment of riparian conditions important for production of foodorganisms and organic material, shading, bank stabilizing by roots, nutrient and chemicalmediation, control of surface erosion, and production of large-sized woody material. (ForESUs/DPSs that migrate through the Columbia River, this limiting factor would apply totributaries.)

Degraded Habitat –Stream Flow

Inadequate flow, scouring flows, or changes to the hydrograph to the point that it inhibitsdevelopment and survival of salmonids. (For ESUs/DPSs that migrate through the ColumbiaRiver, this limiting factor would apply to tributaries.)

Degraded Habitat –Stream Substrate

Altered sediment routing leading to an overabundance of fine-grained sediments; excesscourse -grained sediments; inadequate course grained sediments; and contaminatedsediment. (For ESUs/DPSs that migrate through the Columbia River, this limiting factor wouldapply to tributaries.)

Degraded Habitat –Water Quality

River, this limiting factor would apply to tributaries.)Degraded Habitat –Water QualityDegraded or impaired water quality due to abnormal temperature, or levels of suspended finesediment, dissolved oxygen, nutrients, heavy metals, pesticides, herbicides and othercontaminants (toxics). (This factor does not include effects caused by mainstem ColumbiaRiver hydropower.)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Degraded Habitat-Channel Structure and Complexity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Degraded Habitat-Estuarine and Nearshore Marine habitat

Degraded Habitat-Fish Passage

Change in amount of accessible habitat(miles/ % of habitat accessible)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Degraded Habitat-Floodplain Connectivity and Function

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

765 Physical Change in area, distribution, and type of riparian vegetation

766 Physical Degraded Habitat-Water Quality Change in Water Quality Index

767 Physical Change in substrate composition - % fines, %gravel, embeddedness.

768 Biological Fish Delayed Mortality Delayed or latent mortality, as reasonably (and statistically reliably) measurable.

769 Biological Fish Delayed mortality

770 Biological Fish

771 Biological Fish Delayed or latent mortality of released fish, as reasonably (and statistically reliably) measurable.

772 Physical Densiometer No Data Definition Exists

773 Physical Riparian Condition Densiometer Flag

774 Physical Riparian Condition Densiometer Flag

775 Physical Riparian Condition Densiometer Flag

776 Physical Riparian Condition Densiometer Position

777 Physical Riparian Condition Densiometer Position

778 Physical Riparian Condition Densiometer Position

Status & Trend or Effectiveness

Habitat Quality & Quantity

Degraded Habitat-Riparian Areas and Large Woody Debris Recruitment

Status & Trend or Effectiveness

Habitat Quality & Quantity

Degraded Habitat-Stream Flow No indicator identified

Status & Trend or Effectiveness

Habitat Quality & Quantity

Degraded Habitat-Stream Substrate

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Delayed Mortality, (Catch and Release)

The number of fish die after being released back into the wild as a result of fishery stressors. This may be a result of predation, infections, or fatigue

Status & Trend or Effectiveness

Delayed or latent mortality of released fish

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

779 Physical Riparian Condition Densiometer Position

780 Physical Riparian Condition Densiometer Position

781 Physical Riparian Condition Densiometer Position

782 Physical Depth

783 Physical Depth

784 Physical Depth to fines

785 Physical Hydrology

786 Other Other Description description of fishway and immediate surroundings

787 Biological Fish Detection probabilities. Detection probabilities.

788 Biological Fish Detection probabilities. Detection probabilities.

789 Physical

790 Physical

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Depth to Shallow Groundwater  

This indicator will describe the depth to shallow groundwater in grassland and shrubland areas. Specifically, it will report the percentage of grassland and shrubland areas where the depth to groundwater falls within several ranges (less than 5 feet, 5 to 10 feet, 10 to 20 feet and more than 20 feet).

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

DiameterLargeEnd(.1-<.3m)_AboveBankfullChannel_Length(>15m)

Status & Trend or Effectiveness

Habitat Quality & Quantity

DiameterLargeEnd(.1-<.3m)_AboveBankfullChannel_Length(>15m)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

791 Physical

792 Physical

793 Physical

794 Physical

795 Physical Dikes

796 Physical Dikes

797 Other Other Directions directions to point location

798 Physical Discharge

799 Physical Hydrology Discharge Beginning determined by recording time taken to fill known container

800 Physical Hydrology Discharge End determined by recording rime taken to fill known volume container

Status & Trend or Effectiveness

Habitat Quality & Quantity

DiameterLargeEnd(.1-<.3m)_InBankfullChannel_Length(1.5-5m)

Status & Trend or Effectiveness

Habitat Quality & Quantity

DiameterLargeEnd(.1-<.3m)_InBankfullChannel_Length(1.5-5m)

Status & Trend or Effectiveness

Habitat Quality & Quantity

DiameterLargeEnd(.1-<.3m)_InBankfullChannel_Length(1.5-5m)

Status & Trend or Effectiveness

Habitat Quality & Quantity

DiameterLargeEnd(.1-<.3m)_InBankfullChannel_Length(1.5-5m)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

801 Physical Hydrology Discharge Mean mean of beginning and end times

802 Physical Hydrology Discharge Percent Estimated percent of flow measured for volume

803 Physical Hydrology Discharge Volume Volume of container for measuring flow rates

804 Biological Fish Disease Frequency Percent of fish containing particular diseases or presence/absence of a particular disease..

805 Biological Fish Disease Frequency

806 Biological Other Disease Frequency

807 Biological Fish Percentage and origin of populations affected

808 Biological Fish Disease presence Disease prevalence in hatchery and naturally produced fish.

809 Biological Fish Disease presence Disease within hatchery influent and effluent water

810 Physical Water Quality DisOxygen The concentration of free (not chemically combined) molecular oxygen (a gas) dissolved in water

811 Physical Dissolved oxygen See Water Quality: Dissolved Oxygen

812 Physical Water Quality Dissolved Oxygen

813 Physical Water Quality dissolved oxygen

814 Physical dissolved oxygen

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Natural fish morts are provided to IDFG or FWS for routine disease testing protocols. Hatcheries routinely samples fish for disease and will defer to then for sampling numbers and periodicity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Disease imopact percentage

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Dissolved oxygen may be measured in the field by either a dissolved oxygen meter and probe or by afield-portable Winkler titration kit. If using a meter and probe, the system should be calibrated prior touse with a zero oxygen standard and a second standard of known oxygen content. The second standardshould be checked by performing a Winkler titration. When measuring dissolved oxygen with a meterand probe, the sample should be swirled or stirred constantly until the reading stabilizes and themeasurement is recorded.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

815 Physical Water Quality Dissolved oxygen

816 Biological Fish Distance Between Redds Distance (km) between redds upstream and downstream from Tumwater Canyon.

817 Physical Distance from Bank distance from bank

818 Other Other Distance from Bank distance from bank

819 Physical Hydrology 15 to 20 equal sized intervals across stream

820 Physical Distance from O distance of Riffle from landmark O

821 Physical Distance Right Bank distance from right bank at each cross-section

822 Biological Fish

823 Biological Fish Distribution, Carcass

824 Physical Disturbance

825 Physical Disturbance History

826 Physical See: Landfill/Trash, Disturbance

827 Physical See: Logging Operations, Disturbance

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Distance from Bank: Streamflow

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Distribution size growth and abundance of other pelagic fishes

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING: <15% ECA (entire watershed) with no concentration of disturbance in unstable or potentially unstable areas, and/or refugia, and/or riparian area; and for NWFP area (except AMAs), ≥15% retention of LSOG in watershed10 AT RISK <15% ECA (entire watershed) but disturbance concentrated in unstable or potentially unstable areas, and/or refugia, and/or riparian area; and for NWFP area (except AMAs), ≥15% retention of LSOG in watershed10 NOT PROPERLY FUNCTIONING >15% ECA (entire watershed) and disturbance concentrated in unstable or potentially unstable areas, and/or refugia, and/or riparian area; does not meet NWFP standard for LSOG retention

Status & Trend or Effectiveness

Habitat Quality & Quantity

Disturbance, Landfill/Trash

Status & Trend or Effectiveness

Habitat Quality & Quantity

Disturbance, Logging Operations

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

828 Physical See: Mining Activity, Disturbance

829 Physical Disturbance, Park/Lawn See: Park/Lawn, Disturbance

830 Physical see: Pasture/ Range/ Hay Field

831 Physical see: Pavement/Cleared Lots

832 Physical Disturbance, Row Crops 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

833 Physical Disturbance: Buildings See: Buildings, Disturbance

834 Physical See: Roads/Railroads, Disturbance, 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

835 Physical Diverison Dams

836 Physical Diversion Dams: Barrier fish passage evaluation

837 Biological Fish Diversity

838 Physical Vegetation

839 Physical division name

840 Physical division numbers

841 Physical Water Quality DO (dissolved oxygen) amount of dissolved oxygen (DO Saturation)

842 Physical Water Quality saturation point at certain temperatures - values according to table

Status & Trend or Effectiveness

Habitat Quality & Quantity

Disturbance, Mining Activity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Disturbance, Pasture/ Range/ Hay Field

Status & Trend or Effectiveness

Habitat Quality & Quantity

Disturbance, Pavement/Cleared Lots

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Disturbance: Roads/Railroads

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Diversity of Current Vegetation classes

Number of Cowardin vegetation classes (emergent, scrub-shrub, forested wetlands) mapped on site, excluding classes mapped on <10% of site area.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Division Name, Bailey Classification

Status & Trend or Effectiveness

Habitat Quality & Quantity

Division Number, Province

Status & Trend or Effectiveness

Status & Trend or Effectiveness

DO (dissolved oxygen): 100% Saturation

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

843 Physical Water Quality amount of dissolved oxygen (DO saturation)

844 Physical Riparian Condition Dominant Land Use

845 Physical Riparian Condition Dominant Land Use

846 Physical Riparian Condition Dominant Land Use

847 Physical Riparian Condition Dominant Land Use

848 Physical Riparian Condition Dominant Land Use

849 Physical boulders, LWD, stream, banks, cobbles, steps/pools, bar/pools, sinuosity

850 Physical sample described as reach-wide benthos, or targeted riffle sample

851 Physical type of dominant vegetation type

852 Physical Water Quality DoPrcnt No Data Exists

853 Physical Downstream Bankside which side of stream is point located on

854 Physical distance from bank

855 Location Location Location Drainage Basin ID unique basin id value given to research site

856 Location Location Location Drainage Basin Name name of drainage basin

Status & Trend or Effectiveness

DO (dissolved oxygen): Intergrate DO

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Dominant Roughness elements

Status & Trend or Effectiveness

Habitat Quality & Quantity

Dominant Substrate, Sample Type

Status & Trend or Effectiveness

Habitat Quality & Quantity

Dominant Vegetation Cover

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Downstream Distance from Bank

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

857 Physical Drainage Density total length of streams/area of basin

858 Physical Drainage density

859 Physical

860 Biological Fish Drop-off rates Needs to be defined: Estimated number of fish that die in line fisheries but are not landed

861 Biological Fish Drop-out rates Needs to be defined: Estimated number of fish that die in net fisheries but are not landed

862 Physical Hydrology

863 Biological Other E. coli

864 Physical Ecoregion

865 Physical Ecoregion

866 Biological Vegetation Eelgrass

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

Drainage Network, Increase

PROPERLY FUNCTIONING: zero or minimum increases in drainage network density due to roads8,9 AT RISK moderate increases in drainage network density due to roads (e.g. ≈5%)8,9 NOT PROPERLY FUNCTIONING increases in drainage network density due to roads (e.g. ≈20-25%)8,9

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Dry Periods ( Number and Duration) in Grassland/Shrubland Streams and Rivers  

See: Number and Duration of Dry Periods in Grassland/Shrubland Streams and Rivers  

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

867 Physical Eelgrass bed cover

868 Biological Fish

869 Biological Fish

870 Biological Fish Group making progress but no official metrics agreed upon at this time.

871 Biological Fish Allele frequencies

872

873 Biological Fish Effort

874 Biological Fish egg/female Count of eggs per female spawned

875 Biological Fish egg/female Average number of eggs per female

876 Biological Fish Egg-to-smolt survival

877 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Effective number of breeders

Status & Trend or Effectiveness

Effective Population Size (Ne)

Derived measure: the number of breeding individuals in an idealized population that would show the same amount of dispersion of allele frequencies under random genetic drift or the same amount of inbreeding as the population under consideration

Status & Trend or Effectiveness

Effective Population Size (Ne)

Status & Trend or Effectiveness

Effective Spawning Population

General Attribute

Effectiveness Monitoring

—Effectiveness Monitoring evaluates the cause and effect relations between management activities and their direct effect or goal. Success may be measured against “reference areas,” “baseline conditions,” or “desired future conditions.”  Effectiveness monitoring can be implemented at the scale of single actions, suites of actions across space, or for an entire strategy consisting of a diversity of actions in a single place.

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

El Nino Southern Oscillation (ENSO) Index

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

878 Physical Elevation daily average, maximum and minimum (m).

879 Physical Elevation elevation

880 Physical Elevation elevation at start of survey reach, determined from quad map, looking downstream

881 Physical Elevation

882 Physical Topography Elevation

883 Physical topography Elevation

884 Physical

885 Physical Elevation Factor multiplication factor for determining atmospheric pressure

886 Physical Elevation Max elevation of highest point in basin

887 Location Location Location Index Site latitude in decimal degrees

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Effectiveness Monitoring

Estuarine & Nearshore Habitat

Hydrologic reconnection usually results in substantial alteration of geomorphic features such as location and sinuosity of tidal creeks, changes in the extent and slope of intertidal regions, and substrate characteristics characteristics (Cornu and Sadro 2002; Williams and Orr 2002). These landscape changes in turn affect (and are affected by) the composition, distribution, and abundance of biota, which often have distinct habitat requirements in wetland areas (Sanderson et al. 2000). Establishing the time course of bathymetric and topographic change at a restoration site is crucial for evaluating the progress of the restoration effort. We recommend detailed topographic and bathymetric surveys be made using differential GPS or Total Station survey techniques. Transect and survey designs are applicable. These techniques have well-established methodologies and should be coordinated with biological surveys described below.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Elevation derived from DEMs

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Elevation Max Point Latitude

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

888 Location Location Location Index Site longitude in decimal degrees

889 Physical Elevation Min elevation at lowest point in basin

890 Location Location Location Index Site latitude in decimal degrees

891 Location Location Location Index Site longitude in decimal degrees

892 Physical Topography Elevation, Tidal daily average, maximum and minimum (m).

893 Biological Fish Elevations (covariate) ?

894 Physical Embeddedness Hillman/ISEMP

895 Physical Embeddedness estimate average % embeddedness in 10 cm circle

896 Physical Channel Condition Embeddedness

897 Physical Channel Condition Embeddedness

898 Physical Channel Condition Embeddedness

899 Physical Channel Condition Embeddedness

900 Physical Channel Condition Embeddedness

901 Physical Channel Condition Embeddedness

902 Physical Channel Condition Embeddedness

Elevation Max Point Longitude

Status & Trend or Effectiveness

Habitat Quality & Quantity

Elevation Min Point Latitude

Elevation Min Point Longitude

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

903 Physical Channel Condition Embeddedness

904 Physical Channel Condition Embeddedness

905 Physical Channel Condition Embeddedness

906 Physical Channel Condition Embeddedness

907 Physical Channel Condition Embeddedness

908 Physical Channel Condition Embeddedness

909 Physical Channel Condition Embeddedness

910 Physical Channel Condition Embeddedness

911 Physical Channel Condition Embeddedness

912 Physical Channel Condition Embeddedness

913 Physical Channel Condition Embeddedness

914 Physical Channel Condition Embeddedness

915 Physical Channel Condition Embeddedness

916 Physical Channel Condition Embeddedness

917 Physical Embeddedness

918 Physical Embeddedness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

919 Physical Embeddedness

920 Physical Embeddedness

921 Physical Embeddedness

922 Physical Embeddedness

923 Physical Embeddedness

924 Physical Embeddedness

925 Physical Embeddedness

926 Physical Embeddedness

927 Physical Embeddedness

928 Physical Embeddedness

929 Physical Embeddedness

930 Physical Embeddedness

931 Physical Embeddedness

932 Physical Embeddedness

933 Physical Embeddedness

934 Physical Embeddedness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

935 Physical Embeddedness

936 Physical Embeddedness

937 Physical Embeddedness

938 Physical Embeddedness

939 Physical Embeddedness

940 Physical Embeddedness

941 Physical Embeddedness

942 Physical Embeddedness

943 Physical Embeddedness

944 Physical Embeddedness

945 Physical Embeddedness

946 Physical Embeddedness

947 Physical Embeddedness

948 Physical Embeddedness

949 Physical Embeddedness

950 Physical Embeddedness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

951 Physical Embeddedness

952 Physical Embeddedness

953 Physical Embeddedness

954 Physical Embeddedness

955 Physical Embeddedness

956 Physical Embeddedness

957 Physical Embeddedness

958 Physical Embeddedness

959 Physical Embeddedness: Depth measured depth at each cross-section

960 Physical Vegetation Emergent vegetation

961 Physical Emergent vegetation

962 Physical Vegetation

963 Physical Vegetation

964 Physical Vegetation

965 Physical Vegetation

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Emergent vegetation- aboveground biomass

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Emergent vegetation- percent cover

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Emergent vegetation- presence/species composition

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Emergent vegetation- stem height/density

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

966 Physical Vegetation

967 Biological Fish Emigration size

968 Biological Fish Emigration timing

969 Location Location Location End GPS_Latitude accessment site latitude in decimal degrees

970 Location Location Location End GPS_Longitude accessment site longitude in decimal degrees

971 Physical

972 Reduces sediment load, diffuses hydrologic energy.

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Emergent vegetation- survival rates of planted species

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Enhanced Availability and Quality of Habitat

Trends in quality and amount of habitatavailable for salmon.

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Enhancement: Bioengineered streambank stabilization

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

973 Increases opportunities for native species propagation.

974 Protects riparian zones from disturbances.

975

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Enhancement: Invasive species removal

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Enhancement: Riparian fencing

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Enhancement: Riparian plantings

Promotes water temperature reduction, contaminant removal, connection of terrestrial habitat corridors, sediment reduction, and water storage; future source of large woody debris input.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

976 Promotes water temperature reduction, dissolved oxygen availability, increased habitat access.

977 Biological Other Enterococcus bacteria

978 Biological Fish entrainment rate

979 Physical Entrance Pool Depth depth of entrance pool

980 Physical

981 Physical

982 Physical

983 Physical

984 Physical

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Enhancement: Tide gate/culvert replacement

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

985 Physical

986 Physical

987 Physical

988 Physical

989 Physical

990 Physical

991 Physical

992 Physical

993 Physical

994 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

995 Physical

996 Physical

997 Physical

998 Physical

999 Physical

1000 Physical

1001 Biological Other EPT

1002 Physical Equivalent clearcut area

1003 Physical

1004 Biological Fish ESA Impact (Harvest)

1005 Biological Fish Escapement prespawn mortality + spawners

1006 Biological Fish Escapement the number of spawners

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

Epifaunal Substrate/Available Cover

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Erosion and drainage features

Status & Trend or Effectiveness

Calculated based on % of Run returning to spawn / total Run size pre harvest. (Variation in systems may include ESA Impact of other threats including hydro system or predators, hatchery facilities, etc.)

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1007 Biological Fish Escapement See :Spawner Abundance (Escapement), or type definition here

1008 Biological Fish Escapement expanding peak live and dead fish counts by an expansion factor from carcass mark recapture studies

1009 Biological Fish Escapement Expanding peak live and dead fish counts by an expansion factor from carcass mark recapture studies

1010 Biological Fish Escapement estimates made by expanded redd counts

1011 Biological Fish Escapement Estimates made by expanded redd counts

1012 Biological Fish Escapement

1013 Biological Fish Escapement (Spanwing) number of adults that spawn in stream

1014 Biological Fish Escapement (Total) total number of mature adults that are in stream

1015 Biological Fish Escapement Goal

1016 Biological Fish Escapement Goal Spawner objective

1017 Biological Fish Escapement, Spawner

1018 Biological Fish

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Besides Redds or carcasses additional variables or combinations of variables may be used, Talk with Michael Moore NOAA fisheries in Santa Cruz to Identify variations in metrics for California

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

The numbers of adult fish needed to escape the fishery to produce adequate spawners to produce the maximum sustainable number of recruits.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Escapement is usually understood as "spawners" but in fact may be dam passage counts of adults or adults and jacks; or hatchery rack or spawning ground counts derived from redd count expansions or live and dead fish counted during surveys.

Status & Trend or Effectiveness

Escapement, Spawner (Abundance)

See :Spawner Escapement Abundance: The escapement objective may be (1) a specific number or a range for the desired number of adult spawners (spawner escapement), or (2) a specific number or range for the desired escapement of a stock from the ocean or at another particular location, such as a dam, that may be expected to result in the target number of spawners.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1019 Biological Fish Escapement.

1020 Biological Fish Estimate catch ^c= W/n x Ho/Hs x E (E is sum of observed catch per hour) validation of this is needed by talking to Jay Hesse

1021 Biological Fish

1022 Biological Fish

1023 Biological Fish

1024 Biological Fish

1025 Biological Fish Estimate spawners per redd.

1026 Biological Fish Estimate Natural Origin Spawners.

1027 Biological Fish Estimated Abundance

1028 Biological Fish Estimated Abundance

1029 Biological Fish

1030 Biological Fish Estimates of variance around fishery parameters

1031 Physical

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Estimate of harvest mortality

Status & Trend or Effectiveness

Estimate of hydro mortality

Status & Trend or Effectiveness

Estimate of other human caused mortality

Status & Trend or Effectiveness

Estimate of total run size accounting for all forms of adult mortality (recruits from gen x)

Status & Trend or Effectiveness

Estimate spawners per redd.

Status & Trend or Effectiveness

Estimate total number of naturally produced spawners.

Status & Trend or Effectiveness

Estimate the number of naturally produced fish spawning in a subbasin or for a population by using proportions of naturally produced fish to hatchery fish, total number of redds, and sex ratios.

Status & Trend or Effectiveness

Estimate the number of naturally produced fish spawning in a subbasin or for a population by using proportions of naturally produced fish to hatchery fish, total number of redds, and sex ratios.

Status & Trend or Effectiveness

Estimates of D for wild and hatchery fish

Status & Trend or Effectiveness

Estimates of variance around fishery parameters

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Estuarine & Nearshore: Change in Wetlands Acreage and Habitat type

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1032 Biological Other

1033 Biological Other

1034 Biological Other

1035 Physical

1036 Physical Condition of physical aquatic habitat and estuarine habitat

1037 Estuarine acres treated & Estuarine acres created

1038 Biological Species Estuarine Survival Survival

1039 Physical Water Quality

1040 Attribute Expected benefits of the projec

1041 Biological Fish Exploitation Rate

1042 Biological Fish Exploitation Rate

1043 Biological Fish Exploitation Rate

Status & Trend or Effectiveness

Estuarine & Nearshore: Disease

Status & Trend or Effectiveness

Estuarine & Nearshore: Invasive Species , Biological Diversity

Status & Trend or Effectiveness

Estuarine & Nearshore: Status or Change in Status of Riparian Condition

Status & Trend or Effectiveness

Environmental Condition

Estuarine & Nearshore: Wake Stranding

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Estuarine Habitat Condition

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Estuarine habitat projects

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Eutrophication sensitivity

Implementation Monitoring

General Attribute

Short description of the expected benefits to fish, for example to improve the range, the breeding or the spawning of a Salmonid population.

Status & Trend or Effectiveness

The exploitation rate on hatchery and natural origin fish for a given fish population. The metrics that define Exploitation rate are ?

Status & Trend or Effectiveness

adult equivilent Catch / (adult equivilent Catch+escapement) (adult equivilent catch is the probability that a fish at any age will spawn without fishing mortality)

Status & Trend or Effectiveness

adult equivalent Catch / (adult equivalent Catch+escapement) (adult equivalent catch is the probability that a fish at any age will spawn without fishing mortality)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1044 Biological Fish Exploitation Rate

1045 Biological Fish Exploitation Rate

1046 Biological Fish Exploitation Rate The proportion of the fish available in a fishery that will be caught based upon the known fishing effort

1047 Biological Fish Exploitation Rate

1048 Physical Hydrology

1049 Biological Fish

1050 Physical description of fauna - info obtained from Baileys classification

1051 Physical fcBrush No Data Definition Exists

1052 Biological Other Fecal coliforms

Status & Trend or Effectiveness

The exploitation rate on hatchery and natural origin fish for a given fish population. The metrics that define Exploitation rate are:

Status & Trend or Effectiveness

The exploitation rate on hatchery and natural origin fish for a given fish population. The metrics that define Exploitation rate are:

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Total fishing mortality rate in a fishery expressed as a sum of all fishery-related mortalities divided by that sum plus escapement. For Chinook salmon, exploitation rate is often presented as "adult equivalent" exploitation. Adult equivalency is the potential for a fish of a given age to contribute to the mature run (spawning escapement) in the absence of fishing. Because of natural mortality and unaccounted losses, not all unharvested fish contribute to spawning escapement, this is especially true for species like Chinook that do not all mature at the same age. For example, a two-year old Chinook has lower probability of surviving to spawn, in the absence of fishing, than does a five-year old; these two age classes have different adult equivalents.

Status & Trend or Effectiveness

Extent of Freshwater Ecosystems

This indicator reports the area of wetlands and lakes, reservoirs, and ponds and the length of small, medium, and large streams and rivers. For streams and rivers, the indicator also reports on the type of land cover on their shorelines and adjacent areas (“riparian” areas): forest; grasslands, shrublands, or wetlands; and urban/suburban or agricultural land.

Status & Trend or Effectiveness

Extinction risk, (Biological Viability)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Fauna: Bailey Classification

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1053 Biological Fish Fecundity See Eggs/female

1054 Biological Fish Fecundity total number of eggs produced by a given size female

1055 Biological Fish Fecundity (by size) Life History Diversity

1056 Biological Fish Fecundity by Age

1057 Biological Fish Fecundity by Age

1058 Biological Fish

1059 Biological Fish

1060 Biological Fish Derived measure. Number of female spawners divided by the estimated (or counted) number of redds.

1061 Biological Fish

1062 Quality Control Field Quality Control Field Blank

1063 other other Field Recorder Name or initials of person recording information in the field

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Derived or raw measure (primary): Derived if determined indirectly using existing length-fecundity relationships. Raw measure if based on direct sampling of returning females.

Status & Trend or Effectiveness

The reproductive potential of an individual female. Estimated as the number of eggs in the ovaries of the individual female. Measured as the number of eggs per female calculated by weight or enumerated by egg counter.

Status & Trend or Effectiveness

Female spawner abundance

Status & Trend or Effectiveness

Female Spawner ELISA Values

Screening procedure for diagnosis and detection of BKD in adult female ovarian fluids. The enzyme linked immunosorbent assay (ELISA) detects antigen of R. salmoninarum

Status & Trend or Effectiveness

Female Spawner per Redd

Status & Trend or Effectiveness

Female Spawner per Redd

Number of female spawners divided by the total number of redds above weir. Applied in 2 ways: 1) The population estimate at a weir site multiplied by the weir derived proportion of females, minus the number of female prespawn mortalities, divided by the total number of redds located upstream of the weir, and 2) DIDSON application calculated as in 1 above but with proportion females from carcass recoveries. Correct for mis-sexed fish at weir for 1 above.

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

A field blank is a sample of analyte-free water that is supplied by the laboratory. The field blank isgenerated by opening the analyte-free water container at the sampling location and transferring an aliquotto another laboratory-supplied container. The field blank may be analyzed for any or all of the analytesfor which associated samples are being analyzed. Field blank results are used to measure and documentany possible on-site contamination.

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1064 Quality Control Field Quality Control Field Replicate

1065 Quality Control Field Quality Control Field Split Sample

1066 Biological Other Filamentous algae

1067 Physical FilamentousAlgae

1068 Physical FilamentousAlgae

1069 Physical FilamentousAlgae

1070 Physical FilamentousAlgae

1071 Physical FilamentousAlgae

1072 Biological Fish Fin clip May need to be defined

1073 Biological Fish Substrate Gravel,Percentage

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

A field replicate consists of a second sample that is collected using the same sampling methodology usedto obtain the first sample. It is collected at the same sampling location and as soon after the originalsample as possible. The field replicate is generally analyzed for the same set of analytes as the originalsample. Analysis of the field replicate is used to measure and document the repeatability of fieldsampling methodologies as well as the heterogeneity of the sample matrix. Any number of fieldreplicates may be collected at a particular sampling location. Statistical analysis of numerical analyticalresults (mean and standard deviation) of the original sample and multiple replicates may also beperformed to calculate the likely range of analyte concentrations at a given sampling location.

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

A field split sample consists of an actual sample for which twice as much volume as necessary to fill thesample containers has been collected. Aliquots of this sample are equally distributed in two sets ofsample containers. This division results in two (theoretically) equivalent samples collected from onesampling location. The field split sample is generally analyzed for the same set of analytes for which theoriginal sample is being analyzed. Analysis of a field split sample may be performed by a secondanalytical laboratory; it is used to measure and document repeatability of sample handling procedures,heterogeneity of the sample matrix, and the standardization of analytical procedures.

Status & Trend or Effectiveness

Area of the channel effectively covered by long, streaming filaments of microscopic algal cells that often occur in slow moving, nutrient rich water with little riparian shading. Not to be confused with macrophytes and flowering aquatic plants that can look very much like algae when flower are not present.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Fines in spawning substrate, Percent

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1074 Physical Fire Frequency Index

1075 Biological Fish Fish

1076 Biological Fish Fish Abundance number of fish counted

1077 Biological Fish Fish- abundance

1078 Biological Fish

1079 Biological Fish Observations through rotary screwtrap catch and while conducting snorkel surveys.

1080 Physical Fish Cover

1081 Biological Fish

1082 Biological Fish Fish- growth rates

1083 Biological Fish Fish- habitat use

1084 Biological Fish

1085 Biological Fish Fish ladder counts.

1086 Physical Fish Passage

1087 Biological Fish Fish passage

Status & Trend or Effectiveness

Environmental Condition

This indicator describes the frequency with which forests are burned by wildfire. It would report the fraction of forest lands that experience wildfire much more or less frequently, moderately more or less frequently, or with about the same frequency as in presettlement times. Thus, a forest that, historically, burned every 50 years on average will be considered moderately altered if it burns every 100 years, and significantly altered if it burns only every 150 years, and about the same if it burns once every 50 years.

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Fish and Amphibian Assemblage

The composition of a group of fish/amphibians sampled from a specific location. Richness and composition measures (and associated metrics) are most commonly used to determine assemblage

Status & Trend or Effectiveness

Fish and Amphibian Assemblage

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Fish- diets/stomach contents

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Fish interrogation (raw data):

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Change in amount ofaccessible habitat - milesor % of habitat accessible

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1088 Project Type Fish Passage Project:

1089 Project Type Fish Passage Project:

1090 Fish Passage Project:

1091 Fish passage projects Fish screens installed, Barriers/blockages removed & Miles of stream made accessible

1092 Biological Fish Percent of fish passage through various routes.

1093 Project Type

1094 Project Type

1095 Project Type

1096 Project Type

Effectiveness Monitoring

Project Tracking

Projects that affect or provide fish migration up and down stream including road crossings (bridges or culverts), barriers (dams or log jams), fishways (ladders, chutes or pools), and weirs (log or rock). Barriers may be complete or partial.

Implementation Monitoring

Project Tracking

Projects that affect or provide fish migration up and down stream including road crossings (bridges or culverts), barriers (dams or log jams), fishways (ladders, chutes or pools), and weirs (log or rock). Barriers may be complete or partial.

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Status & Trend or Effectiveness

Fish Passage Route percentage

Effectiveness Monitoring

Project Tracking

Fish Passage: Barriers (dams or log jams)

Removal of a dam other than a push-up or diversion dam; orremoval of a naturally formed log or debris jam that created apassage barrier (There may be more than one fish passage installation per project. Report a count of all blockages that are proposed for removal or improvement and those that are actually removed or improved as part of this project. Latin name of target species.)

Implementation Monitoring

Project Tracking

Fish Passage: Barriers (dams or log jams)

Removal of a dam other than a push-up or diversion dam; orremoval of a naturally formed log or debris jam that created apassage barrier (There may be more than one fish passage installation per project. Report a count of all blockages that are proposed for removal or improvement and those that are actually removed or improved as part of this project. Latin name of target species.)

Effectiveness Monitoring

Project Tracking

Fish Passage: Culvert Improvements/Upgrades

Improve, upgrade or replace an existing culvert ( There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Implementation Monitoring

Project Tracking

Fish Passage: Culvert Improvements/Upgrades

Improve, upgrade or replace an existing culvert ( There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1097 Project Type

1098 Project Type

1099 Project Type

1100 Project Type

1101 Project Type

1102 Project Type

Effectiveness Monitoring

Project Tracking

Fish Passage: Culvert Installation

Add a passable culvert where none previously existed. (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Implementation Monitoring

Project Tracking

Fish Passage: Culvert Installation

Add a passable culvert where none previously existed. (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Effectiveness Monitoring

Project Tracking

Fish Passage: Culvert Removal

Removal of culvert (often replaced by a non-blocking structure,bridge etc. or removed because the structure it was associatedwith was removed, a road etc.) (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Implementation Monitoring

Project Tracking

Fish Passage: Culvert Removal

Removal of culvert (often replaced by a non-blocking structure,bridge etc. or removed because the structure it was associatedwith was removed, a road etc.) (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Effectiveness Monitoring

Project Tracking

Fish Passage: Culvert Replacement

Implementation Monitoring

Project Tracking

Fish Passage: Culvert Replacement

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1103 Project Type

1104 Project Type

1105 Project Type

1106 Project Type

1107 Project Type

1108 Project Type

Effectiveness Monitoring

Project Tracking

Fish Passage: Diversion Dam/push up dam removal

Removal of a push-up dam (earthen dam), or removal of adiversion dam (permanent structure) (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target)

Implementation Monitoring

Project Tracking

Fish Passage: Diversion Dam/push up dam removal

Removal of a push-up dam (earthen dam), or removal of adiversion dam (permanent structure) (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target)

Effectiveness Monitoring

Project Tracking

Fish Passage: Fish Ladder Improved

Improvement or upgrade of an existing fish ladder (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Implementation Monitoring

Project Tracking

Fish Passage: Fish Ladder Improved

Improvement or upgrade of an existing fish ladder (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Effectiveness Monitoring

Project Tracking

Fish Passage: Fish Ladder Installed

Installation of a fish ladder where there was not one previously (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Implementation Monitoring

Project Tracking

Fish Passage: Fish Ladder Installed

Installation of a fish ladder where there was not one previously (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1109 Project Type

1110 Project Type

1111 Project Type

1112 Project Type

1113 Project Type

Effectiveness Monitoring

Project Tracking

Fish Passage: Fishways (ladders, chutes, or pools)

Placement of an engineered way around a barrier (usually aside channel/ or pool) or any by-pass that isn’t specified as a fishladder that is used by salmon migrating upstream; or a chute,used to ease salmon migrating downstream over a dam. (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Implementation Monitoring

Project Tracking

Fish Passage: Fishways (ladders, chutes, or pools)

Placement of an engineered way around a barrier (usually aside channel/ or pool) or any by-pass that isn’t specified as a fishladder that is used by salmon migrating upstream; or a chute,used to ease salmon migrating downstream over a dam. (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Effectiveness Monitoring

Project Tracking

Fish Passage: Road Crossings (bridges or culverts)

Establishment of engineered passage associated with roadplacement that may include placement of a bridge. (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Implementation Monitoring

Project Tracking

Fish Passage: Road Crossings (bridges or culverts)

Establishment of engineered passage associated with roadplacement that may include placement of a bridge. (There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Effectiveness Monitoring

Project Tracking

Fish Passage: Weirs (lncomplete Dams)

Placement, modification or removal of a incomplete dam that isa passage barrier to fish ( There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1114 Project Type

1115 Biological Fish Fish per Redd Derived measure. Number of spawners (male + female) /# of counted redds, or the number of females per redd.

1116 Biological Fish Fish per Redd

1117 Biological Fish Fish presence

1118 Biological Fish Fish released number Number of fish encountered in fisheries that are released.

1119 Biological Fish Fish- residence times

1120 Project Type Fish Screening:

1121 Project Type Fish Screening:

1122 Project Type

1123 Project Type

Implementation Monitoring

Project Tracking

Fish Passage: Weirs (lncomplete Dams)

Placement, modification or removal of a incomplete dam that isa passage barrier to fish ( There may be more than one fish passage installation per project.Report a count of all blockages that are proposed for removal orimprovement and those that are actually removed or improved aspart of this project. Latin name of target species.)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Number of fish divided by the total number of redds. Applied by: The population estimate at a weir site, minus broodstock and mortalities and harvest, divided by the total number of redds located upstream of the weir.

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Estuarine & Nearshore Habitat

Effectiveness Monitoring

Project Tracking

Projects that result in the installation orimprovement of screening systems that prevent Salmonids from passing into areas that do not support salmonid survival, for example into irrigation diversion channels.

Implementation Monitoring

Project Tracking

Projects that result in the installation orimprovement of screening systems that prevent Salmonids from passing into areas that do not support salmonid survival, for example into irrigation diversion channels.

Effectiveness Monitoring

Project Tracking

Fish Screening: Fish Screen Installed

Adding screen to an unscreened diversion to keep juveniles from being diverted. (A total count of screens proposed for installation and actually installed, recognizing that a project may install more than one screen, The flow rate at the screened diversion(s) from the water right. (CFS to nearest 0.01 CFS))

Implementation Monitoring

Project Tracking

Fish Screening: Fish Screen Installed

Adding screen to an unscreened diversion to keep juveniles from being diverted. (A total count of screens proposed for installation and actually installed, recognizing that a project may install more than one screen, The flow rate at the screened diversion(s) from the water right. (CFS to nearest 0.01 CFS))

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1124 Project Type

1125 Project Type

1126 Biological Fish

1127 Biological Fish Fish Stock Status See: Status of Commercially Important Fish Stocks

1128 Biological Fish Fish Survival Number of live fish detected at downstream locations

1129 biological fish

1130 Biological Fish Fish/m2

1131 Biological Fish Fishing Effort Total amount of fishing effort.

Effectiveness Monitoring

Project Tracking

Fish Screening: Fish Screen Replaced

Replacement, repair or improvement of an existing fish screen (A total count of screens proposed for installation and actuallyinstalled, recognizing that a project may install more than onescreen, The flow rate at the screened diversion(s) from the waterright. (CFS to nearest 0.01 CFS))

Implementation Monitoring

Project Tracking

Fish Screening: Fish Screen Replaced

Replacement, repair or improvement of an existing fish screen (A total count of screens proposed for installation and actuallyinstalled, recognizing that a project may install more than onescreen, The flow rate at the screened diversion(s) from the waterright. (CFS to nearest 0.01 CFS))

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Fish- species composition

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Effectiveness Monitoring

Estuarine & Nearshore Habitat

Fish Temporal Presence, Size/Age-Structure, and Species Composition

The incentive for many restoration activities in the CRE involves increasing habitat for rearing and migrating juvenile salmonid evolutionarily significant unit (ESU)s listed as threatened or endangered under the Endangered Species Act of 1973 (ESA) (Thom et al. 2005). It is generally acknowledged that documenting “realized function” (Simenstad and Cordell 2000) is difficult because of the migratory nature of salmonids, while determining habitat capacity and opportunity are less problematic (Tanner et al. 2002). For minimum effectiveness monitoring, fish sampling should permit the evaluation of changes in community structure in restored locations compared with before treatment and control areas. We advocate conducting the most intense sampling effort logistically possible across sites, habitat types, and time. Additionally, it is highly desirable to determine “realized function” attributes, such as residence time, growth, and survival, which necessitate measuring metrics such as prey availability, prey consumption, age assessment, genetic stock identification, parasite load, and mark-recovery data (e.g., Roegner et al. 2004).

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1132 Other Other Fishway Operation Adult fishway operations (whether criteria met).

1133 other other Fishway Type type of fishway

1134 Physical Fishways

1135 other other number of baffles in baffled culvert

1136 Physical Hydrology Float Cross Section

1137 Physical Hydrology Float Cross Section

1138 Physical Hydrology Float Cross Section

1139 Physical Flood plain width

1140 Physical Floodplain Connectivity

1141 Physical Hydrology Flow Level of spill

1142 Physical Hydrology Flow Spillway operations (total kcfs).

1143 Physical Hydrology Flow Sluiceway operations (total kcfs).

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Fishways: Baffle Number

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING: off-channel areas are frequently hydrologically linked to main channel; overbank flows occur and maintain wetland functions, riparian vegetation and succession AT RISK reduced linkage of wetland, floodplains and riparian areas to main channel; overbank flows are reduced relative to historic frequency, as evidenced by moderate degradation of wetland function, riparian vegetation/ succession NOT PROPERLY FUNCTIONING severe reduction in hydrologic connectivity between off-channel, wetland, floodplain and riparian areas; wetland extent drastically reduced and riparian vegetation/ succession altered significantly

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1144 Physical Hydrology Flow Flow levels in spawning areas.

1145 Physical Hydrology Flow Bypass operations (kcfs)

1146 Physical Hydrology Flow Average Average amount of flow through individual turbines, sections of the powerhouse(s), fishways, or bypass systems.

1147 Physical Hydrology Flow Conditions flow description change from original flow sample taken

1148 Physical Flow diversion/timing

1149 Physical Hydrology Flow Percentage Percentage of flow through various routes.

1150 Physical Flow volume/timing

1151 Physical

1152 Physical Hydrology Flows

1153 Physical Flows daily average, maximum and minimum (m3/s)

1154 Biological Fish forage fish

1155 Biological Fish Forage Fish Abundance Forage fish index

1156 Biological Fish Forage Fish Abundance

1157 Biological Fish Forage fish abundance

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Flow: Change in Peak/Base Flows

PROPERLY FUNCTIONING: watershed hydrograph indicates peak flow, base flow and flow timing characteristics comparable to an undisturbed watershed of similar size, geology and geography AT RISK some evidence of altered peak flow, baseflow and/or flow timing relative to an undisturbed watershed of similar size, geology and geography NOT PROPERLY FUNCTIONING pronounced changes in peak flow, baseflow and/or flow timing relative to an undisturbed watershed of similar size, geology and geography

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat daily average, maximum and minimum (m3/s).

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1158 Physical Forest Age

1159 Physical

1160 Physical

1161 Physical Riparian Condition

1162 Physical Riparian Condition

1163 Physical Riparian Condition

1164 Physical Forest Types

1165 Physical Forested Situation is the site forested

1166 Biological Fish Fork Length The length (mm) of carcass from head to tail

Status & Trend or Effectiveness

Environmental Condition

This indicator reports the percentage of forest lands with stands in several age classes. Forests of different ages often provide different goods, services, and values. For example, woodpeckers and species that need trunk cavities for nesting find older forests, with their dead trees, a suitable habitat. Younger forests, with their rapid growth and smaller trees, provide habitat for species such as the Kirtland’s warbler, which can only live in forests recently regrown after fire.

Status & Trend or Effectiveness

Environmental Condition

Forest Community Types with Significantly Reduced Area  

This indicator would report whether those forest community types that cover significantly fewer acres than they did in presettlement times are increasing or decreasing in area, and by how much. It would also report the total area occupied by these much-reduced forest community types—those that have been reduced by 70% or more in area.

Status & Trend or Effectiveness

Environmental Condition

Forest Disturbance: Fire, Insects, Disease  

This indicator reports the acreage of forest affected each year by several important types of disturbance: forest fires, insects, and diseases of trees.

Status & Trend or Effectiveness

Forest Dominant Age Class

Status & Trend or Effectiveness

Forest Dominant Age Class

Status & Trend or Effectiveness

Forest Dominant Age Class

Status & Trend or Effectiveness

Environmental Condition

This indicator reports the acreage of a variety of forest “cover types.” Cover types describe the dominant species of trees found in the forests (e.g., oak–hickory forests are dominated by oaks and hickories, but include other kinds of trees as well).

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1167 Physical

1168 Biological Fish Genetic Diversity

1169 Biological Fish Frequency of rare types `

1170 Physical

1171 Physical

1172 Physical

1173 Physical

1174 Physical

1175 Physical

1176 Physical

1177 Physical

1178 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency of commercial vessel arrivals and the submission of federal and state ballast water reports

Status & Trend or Effectiveness

Frequency of population bottlenecks (generational geometric mean < threshold)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1179 Physical

1180 Physical

1181 Physical

1182 Physical

1183 Physical

1184 Physical

1185 Physical

1186 Physical

1187 Physical

1188 Physical

1189 Physical

1190 Physical

1191 Physical Water Quality Frequency, Sample See: Sample Frequency

1192 Biological Fish Freshwater Productivity See: Productivity, Freshwater

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Frequency Riffles (or bends)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1193 Financial Funding Source/s:

1194 Physical Riparian Condition GCBaren

1195 Physical Riparian Condition GCBaren

1196 Physical Riparian Condition GCBaren

1197 Physical Riparian Condition GCBaren

1198 Physical Riparian Condition GCBaren

1199 Physical Riparian Condition GCBaren

1200 Physical Riparian Condition GCHerbsGrasses

1201 Physical Riparian Condition GCHerbsGrasses

1202 Physical Riparian Condition GCHerbsGrasses

Implementation Monitoring

General Attribute

The entities responsible for providing funds for the action/project. (Note: This should allow for the selection of multiple entities.)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1203 Physical Riparian Condition GCHerbsGrasses

1204 Physical Riparian Condition GCHerbsGrasses

1205 Physical Riparian Condition GCHerbsGrasses

1206 Physical Riparian Condition GCShrubsSaplings

1207 Physical Riparian Condition GCShrubsSaplings

1208 Physical Riparian Condition GCShrubsSaplings

1209 Physical Riparian Condition GCShrubsSaplings

1210 Physical Riparian Condition GCShrubsSaplings

1211 Physical Riparian Condition GCShrubsSaplings

1212 Physical General estuary alterations

1213 Biological Fish genetic variability between populations

1214 Biological Fish Allele frequencies

1215 Biological Fish Genetic Diversity

1216 Biological Fish Genetic Diversity Group making progress but no official metrics agreed upon at this time.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Genetic analysis encompassing within and between population variation

Status & Trend or Effectiveness

Genetic Distances Between Populations

Status & Trend or Effectiveness

Indices of genetic diversity - measured within a tributary (heterozygosity - allozymes, microsats), or among tributaries across population aggregates (e.g., FST).

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1217 Location Geographic Details:

1218 Physical Geologic districts

1219 Biological Fish Geometric Mean

1220 Biological Fish Numbers of adults or juveniles

1221 Biological Fish Adult Spawners resiliency productivity

1222 Biological Fish

1223 Event Attributes Event Attributes GPS Fix Type

1224 Event Attributes Event Attributes GPS Fix Type

1225 Other Other GPS Latitude assessment site latitude in decimal degrees

1226 Other Other GPS Longitude assessment site longitude in decimal degrees

1227 Other Other GPS PDOP GPS precision indications -- PDOP error

Implementation Monitoring

General Attribute

The Names of common geographic identification attributes also of interest. (This can be automated based on Point Information)

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

The 10-year GM for abundance is included because it satisfies the recommendation of the ICBTRT. Only the 12-yr GM will be used to determine recovery.

Status & Trend or Effectiveness

Geometric mean (4-, 12-, 20-yr)

Status & Trend or Effectiveness

Geometric mean recruits per spawner at low spawner nos.

Status & Trend or Effectiveness

Gonadal somatic index (GSI)

General Attribute

General Attribute

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1228 Location Location Location GPS precision indications -- PDOP error

1229 Other Other GPS Precision GPS precision indications such as PDOP or RMS location error

1230 Other Other GPS RMS Error GPS precision indications -- RMS location error

1231 Location Location Location GPS precision indications -- RMS location error

1232 Other Other GPS Verification Yes if site location is verified by GPS

1233 Other Other GPS_Latitude Index Site latitude in decimal degrees from GPS unit taken on site. Minimum 4 decimal places

1234 Location Location Location accessment site latitude in decimal degrees

1235 Other Other GPS_Longitude Index Site longitude in decimal degrees from the GPS unit taken on site

1236 Location Location Location accessment site longitude in decimal degrees

1237 other other presence of streambed grade control factors

1238 Physical Gradient See Stream Gradient

1239 other other See: Land use: Grassland and Shrubland

1240 Physical Gravel Size three categories

GPS PDOP, Downstream

Status & Trend or EffectivenessStatus & Trend or Effectiveness

GPS RMS Error, Downstream

Status & Trend or Effectiveness

Status & Trend or Effectiveness

GPS_Latitude, , Downstream

Status & Trend or Effectiveness

GPS_Longitude, Downstream

Status & Trend or Effectiveness

Grade control (Fishways)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness Grassland and Shrubland Land Use

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1241 Physical Gravel size distributions.

1242 Physical Grazing

1243 Physical Gross Geology dominant geology for drainage basin

1244 Other Other Average ground width of the imagery. Defines spatial scale.

1245 Physical

1246 Biological Fish groundfish

1247 Physical Hydrology Groundwater Depth

1248 Physical Hydrology Groundwater level

1249 Physical Hydrology

1250 Physical

1251 Physical Growth rates

1252 Physical Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Ground Footprint, (FLIR / Temp)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Ground water/water table

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness See: Depth to Shallow Groundwater  

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness Groundwater Levels  

This indicator would report the percentage of the area of the nation’s major regional aquifers in which water levels are increasing, decreasing, or stable. The indicator would report what fraction of the aquifer area declined, increased, or remained stable in comparison to a previous period, and it would be reported every 5 years.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Groundwater Temperature

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1253 Physical See Question 11.

1254 Physical Habitat Access Access to freshwater and estuarine habitat (miles of habitat accessible or limited; further analyze by habitat quality)

1255 Physical Habitat availability

1256 Physical Habitat class

1257 Physical Habitat Productivity

1258 Physical Habitat Quality

1259 Physical Habitat Type habitat type- value of riffle / run or pool / glide

1260 Physical Habitat type/cover Area, distribution, configuration, and types of cover for established ecological classes

1261 Physical Habitat unit types

1262 Physical percentage of habitat units with spawning gravel

1263 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Habitat -- Characterization of Vegetation cover, Geology/ soils, Floodplain topography, Measurements of Bathymetry

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Habitat Units / Spawning Gravel

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Habitats, Coastal Living (Coral Reefs, Wetlands, Seagrasses, and Shellfish Beds)

This indicator reports the acreage of coastal habitats whose defining feature is that they are composed of living organisms (such as seagrasses, mangrove forests, and coastal wetlands) or are built by them (such as coral reefs or shellfish beds). These areas provide habitat for many other organisms, and in some cases (such as shellfish beds) they continue to do so even after the animals that built them are no longer living.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1264 Biological Fish Hake Index (catch per volume from trawl samples)

1265 Physical Species Harmful Algal Blooms

1266 Biological Fish Harvest Number of hatchery and naturally produced fish harvested.

1267 Biological Fish Harvest Number of fish harvested.

1268 Biological Fish Harvest

1269 Biological Fish Harvest - ocean

1270 All Limiting Factors Limiting Factors Any harvest related adverse effects on survival.

1271 Biological Fish

1272 Biological Fish Number of fish caught in tributary fisheries (tribal, sport, or commercial) by hatchery and natural origin.

1273 Biological Fish Harvest catch

1274 Biological Fish Harvest effect

1275 Biological Fish Harvest Escapement prespawn mortality + spawners

1276 Biological Fish Harvest Goals

1277 Biological Fish Harvest in-river

1278 Biological Fish Harvest Location Number of fish harvested in the ocean and lower river fisheries.

Status & Trend or Effectiveness

Hake Index (catch per volume from trawl samples)

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

This indicator will report the number of harmful algal blooms (HABs) of low, medium, and high intensity for estuaries and ocean waters within 200 miles of shore. Harmful algal blooms are defined as an increased abundance of algae species that cause illness in people or marine animals or the actual occurrence of algae-caused illnesses.

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Total harvest of a species caught. The total fish harvested = the lbs of fish landed (by species) divided by the average lbs per fish by species.

Status & Trend or Effectiveness

Harvest – related AdverseEffects

Status & Trend or Effectiveness

Harvest Abundance in Tributary

Raw measure (primary). Number of fish caught in ocean, mainstem or tributary fisheries (commercial, tribal, or recreational). Determined from commercial landings, creel surveys, etc.

Status & Trend or Effectiveness

Harvest Abundance in Tributary

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1279 Biological Fish Harvest of NO Fish Number of naturally produced fish harvested

1280 Biological Fish Harvest Per Unit Effort May need to be defined

1281 Biological Fish Harvest rate. Harvest rate.

1282 Biological Fish Harvest rates

1283 Biological Fish Harvest Timing The date that harvest occurred

1284 Biological Fish Harvest, Hatchery Fish Number of hatchery and naturally produced fish harvested

1285 Biological Fish Total harvest by fishery estimated from expansion analysis

1286 Biological Fish

1287 Biological Fish Harvest, Total

1288 Biological Fish Harvest, Total

1289 Biological Fish

1290 All Limiting Factors Limiting Factors Any hatchery related adverse effects on natural-origin salmonid population survival and productivity.

1291 Biological Fish

1292 Biological Fish Raw measure (primary): Percent of adult broodstock that originated from a hatchery.

1293 Biological Fish

1294 Biological Fish Raw measure (primary): percent of adult broodstock that die while retained in the hatchery, but before spawning.

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Harvest, Hatchery Fish Estimate

Status & Trend or Effectiveness

Harvest, Hatchery fraction

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Harvested, Percentage of RunHatchery – relatedAdverse Effects

Status & Trend or Effectiveness

Hatchery Broodstock Collection

Status & Trend or Effectiveness

Hatchery Broodstock Fraction

Status & Trend or Effectiveness

Hatchery Broodstock Fraction

Percent of hatchery broodstock actually used to spawn the next generation of hatchery F1s. Does not include prespawn mortality.

Status & Trend or Effectiveness

Hatchery Broodstock Prespawn Mortality

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1295 Biological Fish Percent of adults that die while retained in the hatchery, but before spawning.

1296 Biological Fish Hatchery Escapement

1297 Numbers of salmon marked or produced

1298 Biological Fish Hatchery Fraction

1299 Biological Fish Hatchery Fraction

1300 Biological Fish Individual fish or carcass sampling for marks, CWTs, and scales

1301 Biological Fish Individual fish or carcass sampling for marks, CWTs, and scales

1302 Biological Fish Hatchery ID

1303 Biological Fish

1304 Biological Fish

1305 Biological Fish Estimate total number of hatchery produced spawners

1306 Biological Fish Number of hatchery produced fish on spawning grounds

1307 Biological Fish Raw measure

1308 Biological Fish

Status & Trend or Effectiveness

Hatchery Broodstock Prespawn Mortality

Status & Trend or Effectiveness

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Hatchery fish enhancement projects

Status & Trend or Effectiveness

Raw measure (primary): Percent of fish on spawning ground that originated from hatchery and strayed to natural spawning ground. Determined from carcass or weir sampling.

Status & Trend or Effectiveness

Percent of fish on the spawning ground that originated from a hatchery. Applied in two ways: 1) Number of hatchery carcasses divided by the total number of known origin carcasses sampled. Uses carcasses above and below weirs, 2) Uses weir data to determine number of fish released above weir and calculate as in 1 above, and 3) Use 2 above and carcasses above and below weir.

Status & Trend or Effectiveness

Hatchery fraction, age composition

Status & Trend or Effectiveness

Hatchery fraction, age composition

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Hatchery Origin Returns

The total number of hatchery fish returning to the hatchery for b roodstock collection and to the spawning grounds, minus those harvested.

Status & Trend or Effectiveness

Hatchery origin fish on spawning grounds

Status & Trend or Effectiveness

Hatchery Origin Spawner estimate

Status & Trend or Effectiveness

Hatchery Origin Spawners

Status & Trend or Effectiveness

Hatchery Production Abundance

Status & Trend or Effectiveness

Hatchery Production Abundance

The number of hatchery juveniles of one cohort released into the receiving stream per year. Derived from census count minus prerelease mortalities or from sample fish- per-pound calculations minus mortalities. Total release numbers provided by NPT Production Division or Agengy releasing fish. NPTH M&E currently testing method of using PIT tag detections prior to release in the acclimation ponds and detections at time of release to get a more accurate estimate.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1309 Biological Fish

1310 Biological Fish

1311 Biological Fish

1312 Biological Fish

1313 Biological Fish Hatchery related disease

1314 Biological Fish

1315 Biological Fish Raw measure

1316 Biological Fish Departures according to date and time of day. Normally determined through PIT tag detections at facility exit

1317 Biological Fish

1318 Biological Fish Hatchery Stock see: Stock, Hatchery

1319 Biological Fish Hatchery/Wild Ratio

1320 Biological Fish Hatchery/Wild Ratio

1321 Biological Fish Health of the organisms

1322 Physical Heavy metals

Status & Trend or Effectiveness

Hatchery related : genetic introgression residualism

Status & Trend or Effectiveness

Hatchery related changes to nutrient dynamics

Status & Trend or Effectiveness

Hatchery related changes to predation rates

Status & Trend or Effectiveness

Hatchery related competition/density dependent effects

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Hatchery related: domestication

Status & Trend or Effectiveness

Hatchery Release Timing

Status & Trend or Effectiveness

Hatchery Release Timing

Status & Trend or Effectiveness

Hatchery spawning timing

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Ratios of naturally produced fish to hatchery fish sampled to estimate the proportion of naturally produced fish spawning for a population or basin.

Status & Trend or Effectiveness

Ratios of naturally produced fish to hatchery fish sampled to estimate the proportion of naturally produced fish spawning for a population or basin.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1323 other other Height see: Dam Height

1324 Biological Fish Heterozygosity Genetic Diversity

1325 Biological Fish Heterozygosity

1326 Physical

1327 Physical Hydrology

1328 Physical Hydrology High tide observations

1329 Physical Historic vegetation type

1330 Physical Vegetation Historic Wetland Type

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

HGM base map classification

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

High likelihood of tidal influence

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Percentage of site area that was historically tidal swamp (ranked by ORNHIC as critically imperiled) or other tidal swamp.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1331 Quality Control Sample Handeling

1332 Location

1333 Biological Fish HRR HRR (number of Hatchery returning adults per brood year/broodstock)

1334 Physical

1335 Physical

1336 Physical

1337 Physical

1338 Physical

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Holding Times and Conditions

Observance of proper holding times and conditions during sample shipment and prior to laboratoryanalysis is critical to obtaining quality data from a sampling effort. Immediately after collection, samplesshould be stored in refrigerators (if available) or ice filled, insulated coolers to maintain an ambienttemperature of approximately 4°C until receipt by the analytical laboratory. Sample holding times andconditions for specific matrices and analyses are outlined in Tables 2, 3 and 4.

Implementation Monitoring

General Attribute

How was the Project location defined:

Select how the point or shape depicting the location was created (Note: It is important to note that a reporting system may report points or allow people to use an interactive GIS to identify the actual areas impacted) This may help with habitat status reporting.) See Northwest Environmental Data Network’s document on reporting Time and Location for attribute list

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Human Influences: Buildings

Status & Trend or Effectiveness

Environmental Condition

Human Influences: Landfills/trash

Status & Trend or Effectiveness

Environmental Condition

Human Influences: Logging operations (including past logging)

Status & Trend or Effectiveness

Environmental Condition

Human Influences: Mining activities.

Status & Trend or Effectiveness

Environmental Condition

Human Influences: Parks/lawns

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1339 Physical

1340 Physical

1341 Physical Human Influences: Pipes

1342 Physical

1343 Physical

1344 Physical

1345 Physical Humidity, Relative Average air temperature during time frame of the survey relative humidity

1346 Physical H-W success

1347 Physical Hydro Model Hydro (This should be linked to a Hydro limiting factor )

1348 Physical Hydro Module,

Status & Trend or Effectiveness

Environmental Condition

Human Influences: Pasture/range/hay fields

Status & Trend or Effectiveness

Environmental Condition

Human Influences: Pavement

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Human Influences: Roads/railroads

Status & Trend or Effectiveness

Environmental Condition

Human Influences: Row crops

Status & Trend or Effectiveness

Environmental Condition

Human Influences: Walls/ dikes/ revetments

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1349 Physical Hydro Module, Flow

1350 Physical Hydrology

1351 other other Hydrologic Unit Name unit name

1352 other other unit name

1353 Physical Hydrology Hydrology

1354 Physical Hydrology and soils

1355 Other Other Hydropower Operation Turbine operations (both individual and powerhouse-wide).

1356 Physical Hydrology Hypoxia

1357 Biological Fish Impact equals the (sum of all kept + released by species ) /run size for species

1358

1359 Physical

1360 Physical See: Total Impervious Area

1361 Physical Hydrology

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Hydrologic Modifications

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Hydrologic Unit Name: Bailey Classification

Effectiveness Monitoring

Estuarine & Nearshore Habitat

Hydrology is a main controlling factor of wetland evolution in the CRE, and it influences habitat structure, processes, and ecological functions (Sanderson et al. 2000; Rice et al. 2005). Measuring water level variation is especially crucial for tidal reconnection restoration projects. Tidal forcing determines such processes as sedimentation/erosion, tidal channel development, inundation periods, and salinity intrusion. We advocate the use of automated data logging pressure sensors set to hourly frequency, which will record tidal, event-scale, and seasonal water elevation data. This method of data collection generates a time-series of measurements that can be compared between habitats and across seasons. Sensors can be “stand alone” or, more commonly, be integrated into a water quality instrumentation package (below).

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or EffectivenessImplementation Monitoring

General Attribute

Impediments to Implementation:

The reasons an action is not being implemented After the primary category is selected a text box of up to 1000 characters will provide an explanation

Status & Trend or Effectiveness

Environmental Condition

Impervious surface (Change)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Impervious Surface Area, Total

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Impervious surface coverage

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1362 Physical Impervious surfaces

1363

1364 Biological Fish

1365 Biological Fish

1366 Physical

1367 Biological Fish

1368 Biological Fish Incidental take

1369 Physical Incision Heights height from water surface to first terrace of floodplain

1370 Physical See Drainage Network

Status & Trend or Effectiveness

Habitat Quality & Quantity

General Attribute

Implementation Monitoring

Implementation monitoring is used to ensure that strategies and treatments are implemented in accord with stated management standards and guidelines, and is generally carried out as an administrative review or site visit.

Status & Trend or Effectiveness

Improved Management Practices

Number of activities incorporating information from assessments (habitat, limiting factors, harvest, monitoring, etc.)Number of recovery plans

Status & Trend or Effectiveness

Improved Status of ESA-Listed Salmon*

Trends in abundance for ESA-listed salmonand steelhead

Status & Trend or Effectiveness

Habitat Quality & Quantity

In subbasin and out of subbasin limiting factors.

Status & Trend or Effectiveness

Incidental Exploitation Rate

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Increase in Drainage Network

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1371 Biological Fish Brood year comparisons with adult data

1372 Biological Other

1373 Biological Other

1374 Biological Other Index of Biotic Integrity for estuaries

1375 Biological Fish Raw measure (secondary). Number of fry, parr, or smolts per unit area of rearing habitat.

1376 Biological Fish

1377 Biological Fish

1378 Biological Fish Counts of redds in spawning areas in index area (trend), extensive areas, and supplemental areas.

Status & Trend or Effectiveness

Index migrants per spawner

Status & Trend or Effectiveness

Index of Biological Integrity

Observations are compared with those in reference reaches. Separate indices will be established for invertebrates and vertebrates. RIVPACS (a multivariate model) will be used to evaluate invertebrates. A vertebrate multimetric model will be used to evaluate fish and aquatic amphibians. RIVPACS and vertebrate models have been developed (Hughes et al. 1998, 2004) and are available for use. (The current RIVPACS model applies to Western Oregon only.) Periphyton should Table 5 continued 1 All monitoring questions except the last are considered with respect to two subquestions: How is this changing over time? and How does this vary within land classifications of interest ( stream size, land use, etc.)? also be considered as an indicator because it is relatively inexpensive to collect and analyze and is not constrained by apermitting process, as fish sampling is. It is also sensitive to management and can be used to detect various anthropogenic disturbances and stresses. [ Metrics: Invertebrate IBI: Species and abundances, Vertebrate IBI (fish andaquatic amphibians): Species, abundances, size, anomalies (diseases,deformities, tumors, lesions)]

Status & Trend or Effectiveness

Index of Biological Integrity (Cold Water Species)

Coldwater Index of Biotic Integrity (IBI) for fish and formacroinvertebrates (With the same data we can report native and nonnative species numbers and distributions for Indicator "Percent of nonnative invasive species".)

Status & Trend or Effectiveness

Index of Biological Integrity (Estuarine Water Species)

Status & Trend or Effectiveness

Index of Juvenile Abundance (Density)

Status & Trend or Effectiveness

Index of Juvenile Abundance (Density)

Parr abundance estimates using underwater survey methodology are made at pre-established transects. Densities (number per 100 m2) are recorded using protocol described in Thurow (1994). Hanken & Reeves estimator.

Status & Trend or Effectiveness

Index of Spawner Abundance - redd counts

Raw measure (primary). Counts of redds in spawning areas. This is data from which spawner abundance is estimated (e.g., Snake River spring-summer chinook). Data may be collected in a number of ways for variety of purposes such as index counts (e.g., peak counts on small section of tributary for trends), or extensive area counts over a large portion of a tributary approaching a complete census (absolute abundance), using a probability based sampling approach such as EMAP for presence/absence type surveys.

Status & Trend or Effectiveness

Index of Spawner Abundance - redd counts

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1379 Physical Watershed

1380 Physical Watershed

1381 Physical Watershed

1382 Physical Watershed

1383 Physical Watershed

1384 Physical Watershed

1385 Physical Watershed

1386 Physical Watershed

1387 Physical Watershed

1388 Physical Watershed

Status & Trend or Effectiveness

Watershed Condition

Industrial_Commercial

Status & Trend or Effectiveness

Watershed Condition

Industrial_Commercial

Status & Trend or Effectiveness

Watershed Condition

Industrial_Commercial

Status & Trend or Effectiveness

Watershed Condition

Industrial_FireEvidence

Status & Trend or Effectiveness

Watershed Condition

Industrial_FireEvidence

Status & Trend or Effectiveness

Watershed Condition

Industrial_FireEvidence

Status & Trend or Effectiveness

Watershed Condition

Industrial_IndustrialPlants

Status & Trend or Effectiveness

Watershed Condition

Industrial_IndustrialPlants

Status & Trend or Effectiveness

Watershed Condition

Industrial_IndustrialPlants

Status & Trend or Effectiveness

Watershed Condition

Industrial_Mines/Quarries

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1389 Physical Watershed

1390 Physical Watershed

1391 Physical Watershed Industrial_Odors

1392 Physical Watershed Industrial_Odors

1393 Physical Watershed Industrial_Odors

1394 Physical Watershed

1395 Physical Watershed

1396 Physical Watershed

1397 Physical Watershed

1398 Physical Watershed

Status & Trend or Effectiveness

Watershed Condition

Industrial_Mines/Quarries

Status & Trend or Effectiveness

Watershed Condition

Industrial_Mines/Quarries

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Industrial_Oil/GasWells

Status & Trend or Effectiveness

Watershed Condition

Industrial_Oil/GasWells

Status & Trend or Effectiveness

Watershed Condition

Industrial_Oil/GasWells

Status & Trend or Effectiveness

Watershed Condition

Industrial_PowerPlants

Status & Trend or Effectiveness

Watershed Condition

Industrial_PowerPlants

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1399 Physical Watershed

1400 Biological Fish In-Hatchery Juvenile

1401 Biological Fish

1402 Biological Fish

1403 Biological Fish

1404 Biological Fish Derived from census count minus prerelease mortalities or from sample fish- per-pound calculations minus mortalities

1405 Biological Fish

1406 Biological Species Insects- abundance

1407 Biological Species

1408 Biological Fish Instream Flow Any water in any stream channel at any point in time

1409 Biological Fish Instream Flow USGS gauges and also staff gauges

1410 Project Type Instream Flow:

Status & Trend or Effectiveness

Watershed Condition

Industrial_PowerPlants

Status & Trend or Effectiveness

Screening procedure for bacterial, viral and other diseases common to juvenile salmonids. Gill/skin/ kidney /spleen/skin/blood culture smears conducted monthly on 10 morts per stock

Status & Trend or Effectiveness

In-hatchery Life Stage Survival

Raw measure: green egg to eyed egg, egg to fry, parr or smolt survival in hatchery. The most important, overall ratio is the of number of eggs spawned to number of fish released from the hatchery.

Status & Trend or Effectiveness

In-hatchery Life Stage Survival

Numbers normally provided by hatchery staff. General description would included: In-hatchery survival is calculated during early life history stages of hatchery-origin juvenile Chinook. Enumeration of individual female's live and dead eggs occurs when the eggs are picked. These numbers create the inventory with subsequent mortality subtracted. This inventory can be changed to the physical count of fish obtained during CWT or VIE tagging. These physical fish counts are the most accurate inventory method available. The inventory is checked throughout the year using ‘fish-per-pound’ counts.

Status & Trend or Effectiveness

In-hatchery Life Stage Survival

Estimated survival of various in-hatchery juvenile stages (green egg to eyed egg, eyed egg to ponded fry, fry to parr, parr to smolt and overall green egg to release)

Status & Trend or Effectiveness

In-hatchery Life Stage Survival

Status & Trend or Effectiveness

In-hatchery Life Stage Survival

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Insects- species composition

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Effectiveness Monitoring

Project Tracking

Projects that maintain and/or increase the flow of water to provide needed habitat conditions. These can include releases of water from dams or impoundments or water conservation projects to reduce stream diversions or extractions.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1411 Project Type Instream Flow:

1412 Project Type

1413 Project Type

1414 Project Type

1415 Project Type

Implementation Monitoring

Project Tracking

Projects that maintain and/or increase the flow of water to provide needed habitat conditions. These can include releases of water from dams or impoundments or water conservation projects to reduce stream diversions or extractions.

Effectiveness Monitoring

Project Tracking

Instream Flow: Irrigation practice improvement

Installation of a headgate with water gauge that controls waterflow into irrigation canals and ditches. Regulates flow onpreviously unregulated diversions. Also the addition of otherwater sources (wells etc.) so that water from diversion is lessneeded or improvement in irrigation systems eg. replacing opencanals with pipes to reduce water loss to evaporation. (The flow of water returned to the stream (not including water that ismaintained in the stream). (CFS to nearest 0.01 CFS))

Effectiveness Monitoring

Project Tracking

Instream Flow: Irrigation practice improvement

Installation of a headgate with water gauge that controls water flow into irrigation canals and ditches. Regulates flow on previously unregulated diversions. Also the addition of other water sources (wells etc.) so that water from diversion is less needed or improvement in irrigation systems eg. replacing open canals with pipes to reduce water loss to evaporation. The flow of water returned to the stream (not including water that is maintained in the stream). (CFS to nearest 0.01 CFS)

Implementation Monitoring

Project Tracking

Instream Flow: Irrigation practice improvement

Installation of a headgate with water gauge that controls waterflow into irrigation canals and ditches. Regulates flow onpreviously unregulated diversions. Also the addition of otherwater sources (wells etc.) so that water from diversion is lessneeded or improvement in irrigation systems eg. replacing opencanals with pipes to reduce water loss to evaporation. (The flow of water returned to the stream (not including water that ismaintained in the stream). (CFS to nearest 0.01 CFS))

Implementation Monitoring

Project Tracking

Instream Flow: Irrigation practice improvement

Installation of a headgate with water gauge that controls water flow into irrigation canals and ditches. Regulates flow on previously unregulated diversions. Also the addition of other water sources (wells etc.) so that water from diversion is less needed or improvement in irrigation systems eg. replacing open canals with pipes to reduce water loss to evaporation. The flow of water returned to the stream (not including water that is maintained in the stream). (CFS to nearest 0.01 CFS)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1416 Project Type

1417 Project Type

1418 Project Type

1419 Project Type

1420 Project Type

1421 Project Type

1422 Physical Instream habitat

1423 Stream miles treated

1424 Physical Change in condition of physical habitat - pool density and depth, cover, wood quantity and quality.

1425 Project Type Instream Wetland:

Effectiveness Monitoring

Project Tracking

Instream Flow: Water flow returned to stream

The use of rock barbs, log barbs, revetments, gabions etc. tostabilize stream banks (The number of miles of of treatment. Add length treated on bothsides when both sides are stabilized. Add one side when one side istreated. (miles to .01 miles))

Implementation Monitoring

Project Tracking

Instream Flow: Water flow returned to stream

The use of rock barbs, log barbs, revetments, gabions etc. tostabilize stream banks (The number of miles of of treatment. Add length treated on bothsides when both sides are stabilized. Add one side when one side istreated. (miles to .01 miles))

Effectiveness Monitoring

Project Tracking

Instream Flow: Water leased or purchased

Purchase of water rights. These water allocations are notwithdrawn from the stream. (Water volume proposed for lease or purchase and actually leased orpurchased should be reported in CFS to nearest 0.01 CFS.)

Effectiveness Monitoring

Project Tracking

Instream Flow: Water leased or purchased

Purchase of water rights. These water allocations are notwithdrawn from the stream.Water volume proposed for lease or purchase and actually leased orpurchased should be reported in CFS to nearest 0.01 CFS.

Implementation Monitoring

Project Tracking

Instream Flow: Water leased or purchased

Purchase of water rights. These water allocations are notwithdrawn from the stream. (Water volume proposed for lease or purchase and actually leased orpurchased should be reported in CFS to nearest 0.01 CFS.)

Implementation Monitoring

Project Tracking

Instream Flow: Water leased or purchased

Purchase of water rights. These water allocations are notwithdrawn from the stream.Water volume proposed for lease or purchase and actually leased orpurchased should be reported in CFS to nearest 0.01 CFS.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Instream habitat projects

Status & Trend or Effectiveness

Habitat Quality & Quantity

Instream Habitat quality and Quantity

Effectiveness Monitoring

Project Tracking

Projects designed to protect, create or improve connected wetland areas (that meet the standard for federal delineation) that are known to support salmonid production. For example salmonid populations, especially juveniles, can benefit from access to connected wetland areas where conditions provide food supply, protection from high flows and protection from predators.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1426 Project Type Instream Wetland:

1427 Project Type

1428 Project Type

1429 Project Type

1430 Project Type

1431 Project Type

1432 Project Type

1433 Project Type

Implementation Monitoring

Project Tracking

Projects designed to protect, create or improve connected wetland areas (that meet the standard for federal delineation) that are known to support salmonid production. For example salmonid populations, especially juveniles, can benefit from access to connected wetland areas where conditions provide food supply, protection from high flows and protection from predators.

Effectiveness Monitoring

Project Tracking

Instream Wetland: Wetland Creation

Creation of wetland area where it did not previously exist Acres of artificial wetland proposed to be created and actuallycreated from an area not formerly a wetland. (Acres to nearestwhole acre)

Implementation Monitoring

Project Tracking

Instream Wetland: Wetland Creation

Creation of wetland area where it did not previously exist Acres of artificial wetland proposed to be created and actuallycreated from an area not formerly a wetland. (Acres to nearestwhole acre)

Effectiveness Monitoring

Project Tracking

Instream Wetland: Wetland Improvement/Enhancement

Improvements or enhancements to an existing wetland.Acres of wetland proposed for treatment and actually treated. (Acres to nearest whole acre)

Implementation Monitoring

Project Tracking

Instream Wetland: Wetland Improvement/Enhancement

Improvements or enhancements to an existing wetland.Acres of wetland proposed for treatment and actually treated. (Acres to nearest whole acre)

Effectiveness Monitoring

Project Tracking

Instream Wetland: Wetland Invasive Species Removal

Remove or control Non-native species and/or noxious weeds in a wetland area. The acreage of invasive species proposed for treatment and actuallytreated in the wetland project. The proposed project area may only be a portion of an existing wetland such as removing an area of purple loosestrife. (Acres)

Implementation Monitoring

Project Tracking

Instream Wetland: Wetland Invasive Species Removal

Remove or control Non-native species and/or noxious weeds in a wetland area. The acreage of invasive species proposed for treatment and actuallytreated in the wetland project. The proposed project area may only be a portion of an existing wetland such as removing an area of purple loosestrife. (Acres)

Effectiveness Monitoring

Project Tracking

Instream Wetland: Wetland Restoration

Restoration of existing or historic wetlandAcres of wetland proposed for treatment and actually treated. (Acresto nearest whole acre)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1434 Project Type

1435 Project Type

1436 Project Type

1437 Project Type Instream:

1438 Project Type Instream:

1439 Project Type

1440 Project Type

1441 Project Type Instream: Boulders

Implementation Monitoring

Project Tracking

Instream Wetland: Wetland Restoration

Restoration of existing or historic wetlandAcres of wetland proposed for treatment and actually treated. (Acresto nearest whole acre)

Effectiveness Monitoring

Project Tracking

Instream Wetland: Wetland Vegetation Planting

Planting of native wetland species in wetland areas.Acres of wetland proposed for treatment and actually treated. (Acres to nearest whole acre)

Implementation Monitoring

Project Tracking

Instream Wetland: Wetland Vegetation Planting

Planting of native wetland species in wetland areas.Acres of wetland proposed for treatment and actually treated. (Acres to nearest whole acre)

Effectiveness Monitoring

Project Tracking

Projects that increase or improve the physical conditions within the stream environment (below the ordinary high water mark of the stream) to support an increased salmonid population.

Implementation Monitoring

Project Tracking

Projects that increase or improve the physical conditions within the stream environment (below the ordinary high water mark of the stream) to support an increased salmonid population.

Effectiveness Monitoring

Project Tracking

Instream: Beaver introduction

The introduction or management of beavers to add naturalstream complexity (beaver dams, ponds, etc). # of beavers introduced to increase instream structure/ complexity

Implementation Monitoring

Project Tracking

Instream: Beaver introduction

The introduction or management of beavers to add naturalstream complexity (beaver dams, ponds, etc). # of beavers introduced to increase instream structure/ complexity

Effectiveness Monitoring

Project Tracking

Addition of large rocks or boulders to a stream channelThis refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1442 Project Type Instream: Boulders

1443 Project Type

1444 Project Type

1445 Project Type

1446 Project Type

1447 Project Type

1448 Project Type

Implementation Monitoring

Project Tracking

Addition of large rocks or boulders to a stream channelThis refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Effectiveness Monitoring

Project Tracking

Instream: Channel Connectivity

Increasing channel connectivity between stream channels,wetlands, and/ or off-channel habitat and floodplain channels.May include increase of historic or new connectivity. ( This refers to meander miles of instream habitat treatments. Countactual stream length treated to nearest 0.01 miles.)

Implementation Monitoring

Project Tracking

Instream: Channel Connectivity

Increasing channel connectivity between stream channels,wetlands, and/ or off-channel habitat and floodplain channels.May include increase of historic or new connectivity. ( This refers to meander miles of instream habitat treatments. Countactual stream length treated to nearest 0.01 miles.)

Effectiveness Monitoring

Project Tracking

Instream: Channel reconfiguration (includes channel roughening)

Changes in channel morphology, e.g. pools added/ created,meanders added, former channel bed restored, channelroughening etc. (This refers to meander miles of instream habitat treatments. Countactual stream length treated to nearest 0.01 miles.)

Implementation Monitoring

Project Tracking

Instream: Channel reconfiguration (includes channel roughening)

Changes in channel morphology, e.g. pools added/ created,meanders added, former channel bed restored, channelroughening etc. (This refers to meander miles of instream habitat treatments. Countactual stream length treated to nearest 0.01 miles.)

Effectiveness Monitoring

Project Tracking

Instream: Deflectors/barbs

Placement of triangular structures of rock or logs that extend intothe stream to narrow and deepen the channel (This refers to meander miles of instream habitat treatments. Countactual stream length treated to nearest 0.01 miles)

Implementation Monitoring

Project Tracking

Instream: Deflectors/barbs

Placement of triangular structures of rock or logs that extend intothe stream to narrow and deepen the channel (This refers to meander miles of instream habitat treatments. Countactual stream length treated to nearest 0.01 miles)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1449 Project Type

1450 Project Type

1451 Project Type Instream: Log weirs

1452 Project Type Instream: Log weirs

1453 Project Type

1454 Project Type

Effectiveness Monitoring

Project Tracking

Instream: Large Woody Debris

Placement of individual logs in the stream that are not part of engineered structures or log jams or other large woody debrisnot specified as rootwadsThis refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Implementation Monitoring

Project Tracking

Instream: Large Woody Debris

Placement of individual logs in the stream that are not part of engineered structures or log jams or other large woody debrisnot specified as rootwadsThis refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Effectiveness Monitoring

Project Tracking

Placement of logs to collect and retain gravel for spawning habitat, to deepen existing resting/jumping pools, to create new pools above and/or below the structure, to trap sediment, aerate the water, or promote deposition of organic debris.This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Implementation Monitoring

Project Tracking

Placement of logs to collect and retain gravel for spawning habitat, to deepen existing resting/jumping pools, to create new pools above and/or below the structure, to trap sediment, aerate the water, or promote deposition of organic debris.This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Effectiveness Monitoring

Project Tracking

Instream: Off channel habitat

Creation of off-channel habitat consisting of side-channels, backwater areas, alcoves or side-pools, off-channel pools, offchannel ponds, and oxbows. This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Implementation Monitoring

Project Tracking

Instream: Off channel habitat

Creation of off-channel habitat consisting of side-channels, backwater areas, alcoves or side-pools, off-channel pools, offchannel ponds, and oxbows. This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1455 Project Type

1456 Project Type

1457 Project Type Instream: Rock weir

1458 Project Type Instream: Rock weir

1459 Project Type Instream: Rootwads

1460 Project Type Instream: Rootwads

Effectiveness Monitoring

Project Tracking

Instream: Plant removal/control

The removal or control of aquatic non-native plants and noxiousweeds growing in the stream channel.This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Implementation Monitoring

Project Tracking

Instream: Plant removal/control

The removal or control of aquatic non-native plants and noxiousweeds growing in the stream channel.This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Effectiveness Monitoring

Project Tracking

The placement of rocks to collect and retain gravel for spawning habitat, to deepen existing resting/jumping pools;and/or to create new pools, to trap sediment, aerate the water, and to promote deposition of organic debris.This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Implementation Monitoring

Project Tracking

The placement of rocks to collect and retain gravel for spawning habitat, to deepen existing resting/jumping pools;and/or to create new pools, to trap sediment, aerate the water, and to promote deposition of organic debris.This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Effectiveness Monitoring

Project Tracking

Placement of a stump with roots attached extending into the stream. Rootwads are a type of large woody debris.This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Implementation Monitoring

Project Tracking

Placement of a stump with roots attached extending into the stream. Rootwads are a type of large woody debris.This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1461 Project Type

1462 Project Type

1463 Project Type

1464 Project Type

1465 Project Type

1466 Project Type

1467 Physical total length of all streams in basin that are present on an intermittent basis

Effectiveness Monitoring

Project Tracking

Instream: Spawning Gravel Placement

Addition of spawning gravel to the channelThis refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Implementation Monitoring

Project Tracking

Instream: Spawning Gravel Placement

Addition of spawning gravel to the channelThis refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Effectiveness Monitoring

Project Tracking

Instream: Streambank Stabilization

Increasing channel connectivity between stream channels,wetlands, and/ or off-channel habitat and floodplain channels.May include increase of historic or new connectivity. (This refers to meander miles of instream habitat treatments. Countactual stream length treated to nearest 0.01 miles.)

Implementation Monitoring

Project Tracking

Instream: Streambank Stabilization

Increasing channel connectivity between stream channels,wetlands, and/ or off-channel habitat and floodplain channels.May include increase of historic or new connectivity. (This refers to meander miles of instream habitat treatments. Countactual stream length treated to nearest 0.01 miles.)

Effectiveness Monitoring

Project Tracking

Instream: Wood Structure/ Log Jam

Placement of Wood Structure/Log Jam with multiple logsfastened together to form increasing instream habitat,This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Implementation Monitoring

Project Tracking

Instream: Wood Structure/ Log Jam

Placement of Wood Structure/Log Jam with multiple logsfastened together to form increasing instream habitat,This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Intermittent Stream Length, Drainage Density

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1468 Physical Sediment Interstitial Salinity

1469 biological Species Invasive species

1470 Biological Species

1471 Biological Species Invasive Species, percent Percent of nonnative invasive species (focus on subset of known species)

1472 Biological Species

1473 Biological Species Invertebrate Percent Estimate of invertebrates as a percent of total sample

1474 Biological Species Invertebrates

1475 Biological Fish Jacks

1476 Biological Fish Juvenile abundance See " Abundance, Juvenile"

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

The salinity of pore or interstitial water contained in a sediment sample may measured directly in thefield. An aliquot of the sediment sample is placed in a separate container not intended for chemicalanalysis and the sediment solids allowed to settle. The salinity of the overlying interstitial water may bemeasured directly using a salinometer. The salinometer should be calibrated prior to use according tomanufacturers directions with a salinity standard of a concentration (in parts per thousand) close to thatexpected in the field. If the salinometer has a temperature compensation feature, the temperature of theinterstitial water should be measured prior to the salinity measurement and the salinometer adjustedaccordingly.Salinity of the interstitial water may also be measured indirectly with a conductivity meter. The metershould be calibrated prior to use with a known conductivity standard (in umhos/cm or uS/s) close to theconductivity expected at the sampling site and temperature measured prior to the conductivitymeasurement. Conductivity and temperature measurements may be used to calculate salinity accordingto methods outlined in Standard Method (SM) 2520B (APHA, 1985).

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Invasive Species Status and Trends

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Invertebrate abundance (families; archived samples)

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1477 Biological Fish Juvenile abundance: Fish/m2 and pool occupancy,

1478 Biological Fish

1479 Biological Fish

1480 Biological Fish Juvenile distribution

1481 Biological Fish Juvenile distribution

1482 Biological Fish

1483 Biological Fish

1484 Biological Fish Raw measure (primary): within major tributaries. Peak, range and 10th-90th percentiles.

1485 Biological Fish

1486 Biological Fish

1487 Biological Fish Juvenile numbers Number of juveniles (smolts, parr [not appropriate for all populations], and emigrants).

1488 Biological Fish Juvenile Spawners resiliency productivity

1489 Biological Fish Juvenile Productivity • Number of juveniles (smolts, parr, and emigrants) per redd

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Juvenile Condition Factor

Derived measure: a species-specific length to weight relationship used as an index of growth (W/L3). Comparative length:weight data are determined from in-hatchery evaluations.

Status & Trend or Effectiveness

Juvenile Condition Factor

Condition Factor (K) relating length to weight expressed as a ratio. Condition factor by life stage of juveniles is generated using the formula: K = (w/l3)(104) where K is the condition factor, w is the weight in grams (g), and l is the length in millimeters (Everhart and Youngs 1992).

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Juvenile Emigrant Abundance

Raw measure (primary). Estimates of the total number of fry, parr, or smolts emigrating from tributary streams (e.g., determined from rotary screw trap estimates).

Status & Trend or Effectiveness

Juvenile Emigrant Abundance

Gauss software is used to estimate emigration estimates. Estimates are given for parr pre-smolts, smolts and the entire migration year. Calculations are completed using the Bailey Method and bootstrapping for 95% CIs. Gauss program developed by the University of Idaho (Steinhorst 2000) Gauss (Aptech Systems, Maple Valley, Washington)

Status & Trend or Effectiveness

Juvenile Emigration Timing

Status & Trend or Effectiveness

Juvenile Emigration Timing

Juvenile emigration timing is characterized by individual life stages at the rotary screw trap and Lower Granite Dam. Emigration timing at the rotary screw trap is expressed as the percent of total abundance over time while the median, 0%, 10, 50%, 90% and 100% detection dates are calculated for fish at Lower Granite Dam.

Status & Trend or Effectiveness

Juvenile movement rates/patterns within stream

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Juvenile production function intercept

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1490 Biological Fish

1491 Biological Fish

1492 Biological Fish Juvenile size

1493 Biological Fish

1494 Biological Fish

1495 Biological Fish

1496 Biological Fish

1497 Biological Fish

1498 Biological Fish

1499 Biological Fish Jay suggests average days but we may want to stay consistent with 10 50 90 language

1500 Biological Fish Juveniles Number and time of juveniles collected at collection stations

1501 Biological Fish Juveniles Transported Number of juveniles transported (if applicable).

Status & Trend or Effectiveness

Juvenile Rearing Distribution

Raw measure: Raw measure at smaller spatial scales, for example Idaho Fish and Game’s General Parr Monitoring program which collects parr counts in multiple tributaries and sites within them.

Status & Trend or Effectiveness

Juvenile Rearing Distribution

Chinook rearing distribution observations are recorded using multiple divers who follow protocol described in Thurow (1994).

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Juvenile Survival to all Mainstem Dams

Raw measure (secondary): Survival from first dam where stock enters mainstem Columbia or Snake River to Bonneville. Derived from PIT tag detections.

Status & Trend or Effectiveness

Juvenile Survival to all Mainstem Dams

Juvenile survival to Lower Granite and Mainstem Dam(s), which is estimated using PIT tag technology. Suvival by life stage to and through the hydrosystem is possible if enough PIT tags are available from the stream. Using tags from all life stages combined we will calculate (SURPH) the survival to all mainstem dams.

Status & Trend or Effectiveness

Juvenile Survival to all Mainstem Dams

Status & Trend or Effectiveness

Juvenile Survival to Lower Granite Dam

Raw measure (secondary): Survival rate measure estimated from detection of PIT tagged smolts at first mainstem dam, or model derived survival rates based on detections at first and second mainstem dams (e.g., using SURPH). Smolts or parr are tagged in the tributary rearing areas.

Status & Trend or Effectiveness

Juvenile Survival to Lower Granite Dam

Life stage survival (parr, presmolt, smolt, subyearling) calculated by CJS Estimate (SURPH) produced by PITPRO 4.8+ (recapture file included), CI estimated as 1.96*SE. Apply survival by life stage to LDG to estimate of abundance by life stage at the tributary and the sum of those is total smolt abundance surviving to LGD. So juvenile survival to LGD = Total estimated smolts to surviving to LGD/Total estimated juveniles leaving tributary.

Status & Trend or Effectiveness

Juvenile Survival to Lower Granite Dam

Status & Trend or Effectiveness

Juvenile Timing from LGD to MCN and LGD to BONN and below BONN

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1502 Biological Species Kelp

1503 Other Other Kinetic Measurement The number of in-stream data loggers withing the TIR survey reach used to verify accuracy

1504 Physical

1505 Physical

1506 Physical

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Cleaning Methods for Field Equipment and Sample Containers

Estuarine, Nearshore & Marine Habitat

Laboratory Cleaning of Sample Container:

Various Puget Sound marine sampling programs and published analytical methodologies specify samplecontainer criteria, relative to the analytes of interest. Selection of sample container types should meet theprescribed data quality objectives, while following criteria for the Puget Sound program guidelines underwhich the project is carried out. They should also be specified in any project plan documents.Documentation of sample container cleanliness may be required by a project and, if so, suchdocumentation should accompany samples throughout sampling and analysis. Proper sample containersfor sediment, water, and tissue samples are summarized in Tables 2, 3, and 4.If the analytical laboratory under contract reuses sample containers, the following sample cleaningprocedures should be verified as part of the project planning process. Cleanliness should be verified bythe collection and analysis of container blanks (see Section 3.7.1). If this information is critical, bottleblanks may be prepared and analyzed prior to field activities. Many precleaned sample containers areshipped from the manufacturer with Environmental Protection Agency (EPA)-certified levels ofcleanliness. The certification provided with the sample container shipment will outline the cleaningprocedures performed by the manufacturer to receive the certification. This information should also bereviewed as part of the planning process prior to the start of field sampling activities. Depending on thematrix to be analyzed, recleaning and reuse of sample containers

Status & Trend or Effectiveness

Cleaning Methods for Field Equipment and Sample Containers

Estuarine, Nearshore & Marine Habitat

Laboratory Cleaning of Sample Containers: Conventionals

Sample containers and lids used for conventionals analysis should first be washed with a phosphate-freedetergent solution, followed by thorough rinses with hot tap water and analyte-free water. For oil andgrease analysis, an additional rinse with hexane or methylene chloride and drying at 105°C for 30minutes should be added to the procedure.

Status & Trend or Effectiveness

Cleaning Methods for Field Equipment and Sample Containers

Estuarine, Nearshore & Marine Habitat

Laboratory Cleaning of Sample Containers: Metals

For trace metals analysis, new sample containers should always be used. Sample containers and lidsshould be thoroughly cleaned with a phosphate-free detergent solution, thoroughly rinsed with metal-freewater, soaked for 24 hours in 20 percent HNO3 or 50 percent HCl, and rinsed with metal-free water. Theacids used should be of at least reagent-grade purity. See section 2.3 of Recommended Guidelines forMeasuring Metals in Puget Sound Marine Water, Sediment and Tissue Samples (PSEP, 1997b) foradditional information about cleaning methods.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1507 Physical

1508 Physical

1509 Biological Fish Lambda

1510 Number of acres acquired & Miles of streambank protected

1511 Physical Land cover

1512 Physical Vegetation Land cover type

1513 Physical Land fill No Data Definition Exists

1514 Physical Land Ownership

1515 Other Other name of owner/agency

Status & Trend or Effectiveness

Cleaning Methods for Field Equipment and Sample Containers

Estuarine, Nearshore & Marine Habitat

Laboratory Cleaning of Sample Containers: Microbiology

Sample containers for the collection of microbiological parameters should be washed with a phosphatefreedetergent, triple rinsed with hot tap water and autoclaved for a period of at least 15 minutes at 121°C and 15 pounds. Sample containers for the collection of toxicological testing samples should be washedwith a phosphate-free detergent, triple rinsed with hot tap water and may be finished with a weakhydrochloric acid rinse.

Status & Trend or Effectiveness

Cleaning Methods for Field Equipment and Sample Containers

Estuarine, Nearshore & Marine Habitat

Laboratory Cleaning of Sample Containers: Organics

detergent solution, followed by thorough rinses with hot tap water and analyte-free water. The last stepshould be an acetone rinse, then a final rinse using high-purity methylene chloride. The lids should be inplace on the container during this rinse step (solvent in the container with the lid tightly screwed down)because the solvents may rinse plastic from the interior screw threads onto the Teflon lining. Firing ofglass containers at approximately 350°C for 4 hours may be substituted for the final solvent rinse only ifprecautions are taken to avoid contamination as the container is dried and cooled.For analysis of volatile organic compounds, sample containers, screw caps, and cap septa (silicone vaporbarriers) should be washed with a phosphate-free detergent, rinsed once with tap water, rinsed at leasttwice with analyte-free water, then dried at greater than 105°C. A solvent rinse should generally beavoided because it may interfere with the analysis, although a methanol rinse may be acceptable. Seesection 2.3 of Recommended Guidelines for Measuring Organic Compounds in Puget Sound Water,Sediment and Tissue Samples (PSEP, 1997c) for additional information about cleaning methods.

Status & Trend or Effectiveness

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Land acquisition projects

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Land Ownership: Agency Name

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1516 Physical Land Ownership: Area area of owned property

1517 Project Type Projects that involve the acquisition or lease of land or riparian areas.

1518 Project Type Projects that involve the acquisition or lease of land or riparian areas.

1519 Project Type

1520 Project Type

1521 Project Type

1522 Project Type

1523 Physical description of land-surface form - info obtained from Omernik's classification

Status & Trend or Effectiveness

Habitat Quality & Quantity

Effectiveness Monitoring

Project Tracking

Land Protected, Acquired, or Leased:

Implementation Monitoring

Project Tracking

Land Protected, Acquired, or Leased:

Effectiveness Monitoring

Project Tracking

Land Protected, Acquired, or Leased: Streambank Protected

Protection of section of streambank from further degradation or development through purchase, lease, negotiated agreement, statute or other mechanism.

This refers to meander miles (to nearest 0.01 mile) of stream bank proposed for protection and actually protected by acquisition, easement or lease. Count miles on both sides of stream if both sides are acquired. Count on one side if only one side is acquired.

Implementation Monitoring

Project Tracking

Land Protected, Acquired, or Leased: Streambank Protected

Protection of section of streambank from further degradation or development through purchase, lease, negotiated agreement, statute or other mechanism.

This refers to meander miles (to nearest 0.01 mile) of stream bank proposed for protection and actually protected by acquisition, easement or lease. Count miles on both sides of stream if both sides are acquired. Count on one side if only one side is acquired.

Effectiveness Monitoring

Project Tracking

Land Protected, Acquired, or Leased: Wetland or Estuarine are Protected

Protection of wetland or estuarine area from further degradation or development through purchase, lease, negotiated agreement, statute or other mechanism.

The acreage reported should be the total acreage proposed for protection and actually protected regardless of whether all of the habitat is applicable to the desired goals for acquisition. (Acres to nearest whole acre)

Implementation Monitoring

Project Tracking

Land Protected, Acquired, or Leased: Wetland or Estuarine are Protected

Protection of wetland or estuarine area from further degradation or development through purchase, lease, negotiated agreement, statute or other mechanism.

The acreage reported should be the total acreage proposed for protection and actually protected regardless of whether all of the habitat is applicable to the desired goals for acquisition. (Acres to nearest whole acre)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Land Surface Form Description

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1524 Physical description of surrounding land surface forms- info obtained from Baileys classification

1525 Physical Land Use

1526 Physical Land Use description of land use - info obtained from Omernik's classification

1527 Physical

1528 other other

1529 Physical

1530 Physical Vegetation Land-cover Change

1531 Physical Landfill

1532 Physical Landfill

1533 Physical Landfill

1534 Physical Landfill

Status & Trend or Effectiveness

Habitat Quality & Quantity

Land Surface Form Description: Bailey Classification

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Land Use Change, Suburban/Rural

This indicator will describe the pattern and intensity, or density, of development, both at the outer edge of suburban development around cities, and in rural areas that, despite the lack of a large town center, are growing rapidly toward suburban densities.

Status & Trend or Effectiveness Land Use, Grassland and Shrubland This indicator will describe how much grasslands and shrublands is devoted to six major land uses: livestock raising, rural residences, oil and gas development and mining, Conservation Reserve Program (CRP) lands (see below), “protected areas” (see below), and high-intensity recreation. Because grasslands and shrublands may be used for other purposes as well, the total acreage eventually reported here would not equal the total reported in the Area of Grassland and Shrubland Extent indicator.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Land use/ land Cover Change

Change in land use and land cover, ( Conversions from farming or forestry or grasslands to urban or rural residential and back again, Conversions to conservation Conversions to conservationuse, Urban sprawl

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1535 Physical Landfill

1536 Physical 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

1537 Physical ? Landscape Features

1538 Physical PDO Index

1539 Physical MEI (ENSO Index)

1540 Physical Local and regional physical conditions (upwelling)

1541 Physical See: Ocean Condition index: Large Scale North Pacific

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Landfill/Trash, Disturbance

Effectiveness Monitoring

Estuarine & Nearshore Habitat

Large-scale alterations of landforms and vegetation patterns often accompany wetland restoration activities (Tanner et al. 2002; Williams and Orr 2002). The measurement of spatial changes in biogeophysical features, such as the evolution of tidal channel complexity, alteration in intertidal area, and succession of vegetation communities, is best accomplished by remote sensing using aerial imagery (e.g., Wright et al. 2000). Many technologies are available, including real color and near infrared aerial photography, hyperspectral imagery, digital aerial photography, high-resolution satellite imagery, and LiDAR (Light Detection And Ranging). Ground truthing during topographic/bathymetric surveys (below) is also required. Repeated measures over time are best analyzed using geographic information systems (GIS) to quantify the progress of restoration.

Status & Trend or Effectiveness

Environmental Condition

Large Scale North Pacific

Status & Trend or Effectiveness

Environmental Condition

Large Scale North Pacific

Status & Trend or Effectiveness

Environmental Condition

Large Scale North Pacific

Status & Trend or Effectiveness

Environmental Condition

Large Scale North Pacific

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1542 Physical Large WoodStatus & Trend or Effectiveness

Habitat Quality & Quantity

• Quantify the number and size of large wood pieces that are present within the bankfull channel, including qualifying side-channels.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1543 Physical Large WoodStatus & Trend or Effectiveness

Habitat Quality & Quantity

• Quantify the number and size of large wood pieces that are present within the bankfull channel, including qualifying side-channels.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1544 Physical

1545 Physical Large wood count

1546 Physical Large woody debris LWD (pieces/km)

1547 Physical Large woody debris

1548 Physical Large Woody Debris No Data Definition Exists

1549 Physical Larger pieces of wood that can influence cover and stream morphology.

1550 Biological Other Larval abundance

1551 Biological Other Larval distribution

1552 Biological Other Larval size

1553 Other Other Latitude Index Site latitude in decimal degrees

1554 Physical Leaf Trapping

1555 Biological Fish Length

1556 Other Other Length (Diversion Dam) length of dam

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

large wood abundance and characteristics

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING: Coast: >80 pieces/mile >24”diameter >50ft. length1; East-side: >20 pieces/mile >12”diameter >35ft. length1; and adequate sources of woody debris recruitment in riparian areas AT RISK currently meets standards for properly functioning, but lacks potential sources from riparian areas of woody debris recruitment to maintain that standard NOT PROPERLY FUNCTIONING does not meet standards for properly functioning and lacks potential large woody debris recruitment

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Large Woody debris (>0.3 m diameter)

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1557 Biological Other

1558 Biological Fish Raw measure

1559 Biological Fish

1560 Physical length of road segment

1561 Physical length of road segment

1562 Physical Length of sample reach Length of reach being surveyed

1563 Physical Length, Main Channel length of main channel

1564 Biological Fish

1565 Physical Level 1 Ecoregion coarsest of ecoregion in North America

1566 Physical Level 1 Land Use classes of land use

1567 Physical Level 2 Ecoregion

1568 Physical Level 2 Land Use sub-classes that can be interpreted per watershed

1569 Physical Level 3 Ecoregion land surface form, potential natural vegetation, land use, and soils

Status & Trend or Effectiveness

Length Frequency/distribution (Cancer spp.)

Status & Trend or Effectiveness

Length of Broodstock Spawner

Status & Trend or Effectiveness

Length of Broodstock Spawner

Mean fork length by age measured in millimeters of male and female broodstock spawners. Measured at spawning and/or at weir collection.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Length of Road Segment (Riparian-Road Index)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Length of Road Segment, (Watershed Road Density)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Length/frequency distribution

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1570 Physical

1571 Biological Fish Life History Types

1572 Species Life Stage Impacted bThe specific life stage of the salmon species impacted by the action.

1573 Physical Light

1574 Physical

1575 Physical limiting factors

1576 Limiting Factors Limiting Factors: Limiting factors are the physical, biological, or chemical features (e.g., inadequate spawning habitat, high water temperature, insufficient prey resources) experienced by th

1577 Biological Fish Live count

1578 Physical Live tree root No Data Definition Exists

1579 Physical Live trees or roots Area of the channel effectively covered by parts of trees, including roots that are in the active channel and are alive.

1580 Physical LiveTreeRoot

1581 Physical LiveTreeRoot

1582 Physical LiveTreeRoot

1583 Physical LiveTreeRoot

Status & Trend or Effectiveness

Habitat Quality & Quantity

Level III Bioassessment (Oregon Plan water quality monitoring guide)

Status & Trend or Effectiveness

Implementation Monitoring

General Attribute

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Light absorption/scattering

Status & Trend or Effectiveness

Environmental Condition

Implementation Monitoring

General Attribute

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1584 Physical LiveTreeRoot

1585 Physical ?

1586 Physical See: Ocean Condition Index: Local Ecosystem conditions

1587 Biological Fish

1588 Biological Fish

1589 Physical Water Quality Logger temperature See: Temperatur, Logger

1590 Physical Logging

1591 Physical Logging

1592 Physical Logging

1593 Physical Logging

1594 Physical Logging

1595 Physical

1596 Physical 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

1597 Other Other Longitude Index Site longitude in decimal degrees

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Local Ecosystem conditions

Status & Trend or Effectiveness

Environmental Condition

Local Ecosystem conditions

Status & Trend or Effectiveness

Location of Accessible Fish rearing habitat

Status & Trend or Effectiveness

Location of spawning areas

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Logging and driftwood removal

Status & Trend or Effectiveness

Habitat Quality & Quantity

Logging Operations, Disturbance

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1598 Physical Hydrology Low tide observations

1599 Other Other Lower Bank Side Stream side of upper monumentation (looking downstream)

1600 Other Other Lower GPS Latitude accessment site latitude in decimal degrees

1601 Other Other Lower GPS Longtitude accessment site longitude in decimal degrees

1602 Other Other Lower Monumentation Description of established monumentation

1603 Physical LWD See: Large Woody Debris

1604 Physical LWD Tally # of LWD in Bankfull channel that are greater than ten centimeters in diameter and at least one meter in length

1605 Biological Fish

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Macroinvertebrate Assemblage

The composition of a group of benthic macroinvertebrates sampled from a specific location. Richness and composition measures (and associated metrics) are most commonly used to determine assemblage

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1606 Biological Macroinvertebrates Macroinvertebrates Describe the composition and health of the macroinvertebrate community.Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1607 Physical Water Quality Macroinvertebrates

1608 Biological Other Macroinvertebrates

1609 Physical Macrophyte

1610 Physical Macrophytes

1611 Physical Macrophytes

1612 Physical Macrophytes

1613 Physical Macrophytes

1614 Physical Macrophytes

1615 Physical Main Channel Length See: Length, Main Channel

1616 other other name of main water feature occupying drainage basin

1617 Biological Fish CWT of juveniles, ocean fishery recoveries

1618 Biological Fish Raw measure (primary): Mouth of Columbia (Bonneville dam). Peak, range and 10th-90th percentiles.

1619 Biological Fish

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Aquatic macrophytes are floating, submerged, or emergent water loving plants, including mosses and wetland grasses that could provide cover for fish or macroinvertebrates.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Main Water Feature Name

Status & Trend or Effectiveness

Mainstem & ocean occurrence, timing

Status & Trend or Effectiveness

Mainstem Arrival Timing (Lower Granite)

Status & Trend or Effectiveness

Mainstem Arrival Timing (Lower Granite)

Unique detections of juvenile PIT-tagged fish at Lower Granite Dam are used to estimate migration timing for natural and hatchery origin tag groups by lifestage. The actual Median, 0, 10%, 50%, 90% and 100% detection dates are reported for each tag group. Weighted detection dates are also calculated by multiplying unique PIT tag detection by a life stage specific correction factor (number fish PIT tagged by lifestage divided by tributary abundance estimate by lifestage). Daily products are added and rounded to the nearest integer to determine weighted median, 0%, 50%, 90% and 100% detection dates.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1620 All Limiting Factors Limiting Factors

1621 Physical Major Crop Yields

1622 Biological Fish

1623 Physical Major ions

1624 Species Major Population Gro

1625 Biological Fish Male: female ratio

1626 Other Other Map Gradient rise over run * 100, calculated from 7.5 topo

1627 Biological Other Marbled Murrelets

1628 Biological Other Marcrophytes

Mainstem Columbia RiverHydropower – relatedAdverse Effects

Any adverse effects caused by the operation of hydroelectric dams in the mainstem Columbiaand Snake Rivers. (Mainstem hydro and mainstem habitat are combined because it is notpossible to distinguish the impact on survival rates between them)

Status & Trend or Effectiveness

Environmental Condition This indicator reports the yield of corn, soybeans, wheat, hay, and cotton, as an index with 1975 as the base year. Values above 1.0 indicate higher yields, typically measured as tons or bushels per acre, than in 1975; values below 1.0 indicate lower yields than in 1975. These five crops account for about 90% of harvested acreage in the United States and more than half the monetary value of all crops (see Monetary Value of Agricultural Production). Increasing the amount of food grown per acre has allowed U.S. agriculture to produce more food and fiber without corresponding increases in farm acreage. The total acreage used for agricultural production has declined slightly over the past half-century (see Total Cropland), and a significant increase in the acreage devoted to agriculture is generally considered unlikely.

Status & Trend or Effectiveness

Major Habitat Limiting Factors Addressed for ESA-Listed Salmon*

Percent of output activities addressing habitatlimiting factors across the region

Status & Trend or Effectiveness

Habitat Quality & Quantity

Implementation Monitoring

General Attribute

The The name of the Populations Major Population Group, Strata or Biogeographical Region used to evaluate the status of an ESU’s populations.

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Floating, submerged, or emergent water loving plants, including mosses and wetland grasses that could provide cover for fish or macroinvertebrates.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1629 Physical Toxicology

1630 Biological Birds marine birds

1631 Biological Other

1632 Biological Marine Mammals marine mammals

1633 Physical Vegetation

1634 Quality Control Field Quality Control Marine Water

1635 Physical Toxicology Marine Water Colu

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Marine biota contaminant index -- movement of contaminants throughbiota (exposure) and effects; comprised of:

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Marine Mammal Population Status

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

marine riparian vegetation

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Collection of one or more field QC samples may be required during a water column sampling effort. Thetype and frequency of QC sample collection should be specified during the project planning process. Thefield QC samples described in Section 3.7 apply to water column sampling as well as sediment.

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

The main objective of water column sampling is to obtain representative samples from discrete depths atan established sampling point. Water column samples are usually collected with some type of waterbottle sampler. These samplers typically consist of a cylindrical tube with stoppers at each end, alongwith a closing device that is activated from the surface by a messenger or an electrical signal. Niskin,Van Dorn and Kemmerer samplers are some of the samplers most commonly used in Puget Sound.Multiple water samplers may be either sequentially attached to a hydrowire so that several discretedepths can be sampled during one cast, or they may be mounted on a rosette-type frame, which allowsreplicate sampling at the same depth. Water samples may also be collected with a pump, the intake ofwhich has been deployed to a known and desired sampling depth.Regardless of the sampler type, it should have sufficient capacity to supply adequate volume for the testsrequired. It is also important for inner surfaces that come in contact with the sample to be made of inert,noncontaminating materials

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1636 Biological Fish

1637 Other Other MDMT ?

1638 Biological Fish I have no idea what this means (Russell Scranton)

1639 Biological Fish I have no idea what this means (Russell Scranton)

1640 Biological Fish I have no idea what this means (Russell Scranton)

1641 Other Other Measurement # one sample per meter width of stream--3 max

1642 Physical Hydrology Measurement # increment number of measurement taken

1643 Other Other Measurement Interval measurement time interval used for calibration and use

1644 Other Other Minimum temperature measurement provided based upon manufacturers specifications

1645 Other Other Minimum temperature measurement provided based upon manufactures specifications.

1646 Other Other Measurement units minimum measurement unit

1647 Biological Fish Median (4-, 12-, 20-yr) Numbers of adults or juveniles

Status & Trend or Effectiveness

maximum sustainable yield (MSY

The largest long-term average catch or yield that can be taken from a stock or stock complex under prevailing ecological and environmental conditions. In Council management of naturally spawning salmon stocks, MSY is usually approached in terms of annually achieving the number of adult spawners (conservation objective) associated with this goal.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Mean Distance Between Population

Status & Trend or Effectiveness

Mean Distance Between Population

Status & Trend or Effectiveness

Mean Distance Between Population

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Measurement Range High

Status & Trend or Effectiveness

Measurement Range Low

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1648 Biological Fish Trends of adults or juvenilesStatus & Trend or Effectiveness

Median annual population growth rate (λ)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1649 Physical Water Quality MetalsStatus & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

The recommended method for metals sample preservation depends on the type of analysis that will beconducted. Samples that will be analyzed for total metals or total mercury should be acidified to pH<2using ultrapure HNO3. Samples that will be analyzed for mercury speciation should be preserved withHCl rather than HNO3. Samples that will be analyzed for both dissolved and particulate metals should befiltered as soon as possible, within 24 hours of collection is advisable. The filtrate, which contains thedissolved fraction, should be preserved by acidifying to pH<2 using ultrapure HNO3. The particulatefraction, which is retained on the filter, is frozen for preservation.Marine and estuarine water samples have high ionic strength resulting in a buffering capacity thatimpacts the amount of acid required for preservation. The pH of these samples should be confirmed anddocumented to be less than 2 at the time of preservation by pouring off a small amount of sample andchecking it with short range pH paper. Excess acid should be avoided because preconcentrationtechniques for some metals analyses are strongly dependent on pH. Suggested final concentration of theHNO3 in the sample is 0.15 percent but the pH should be checked carefully to ensure proper preservationof the sample. Additional information on the preservation of marine water samples may be found inSection 4 of PSEP, 1997b.Studies of metals in the water column may require separation of dissolved and particulate fractions,depending on project objectives. For the purposes of the PSP&G protocols, the particulate fraction of awater sample is defined as the material that is retained on a 0.4- or 0.45-μm filter. Several of the mostcommonly used filters have a nominal pore size of 0.4 μm. The dissolved fraction consists of the materialin the filtrate (i.e. the material that passes through the 0.4- or 0.45-μm filter). Additional information oncollection of dissolved and particulate samples is available in PSEP, 1997b and Recommended Sound Region (PSEP, 1990). Any device used to separate particulate material from water samples maycontribute contaminants to the sample taken for analysis. This contamination must be determined inadvance and reduced whenever possible.Filtration is preferable to other techniques for many analyses because the required equipment is relativelyinexpensive (i.e., a high speed centrifuge is not required), and filtration provides a sample that is suitablefor direct chemical analysis (i.e., an extractable or digestible residue on a filter). The amount ofparticulate material that may be collected on a filter (typically less than 10 mg) may limit this techniquefor low-level metals analyses. Centrifugation techniques can yield comparable results and may be usedto collect larger amounts of particulate material (e.g., several grams). Use of centrifugation requirescareful and complete transfer of the sample from the centrifuge prior to analysis.Horowitz (1986) describes a fixed-angle head or swing-bucket rotor centrifugation technique for metalsanalysis in large-scale studies (e.g., 2,000 to 3,000 samples per year). Bates, et al., (1983) describe acontinuous-flow centrifugation technique (using a Sorvall Model SS-3 or RC-5 high-speed centrifuge) forcollection of particulate material for hydrocarbon analyses. Bates, et al., (1983) noted that continuousflowcentrifugation may not recover fine-grained particles in the 1 to 2 μm range as efficiently asfiltration. Because these very small particles may have a higher loading of metals than larger particles,continuous-flow centrifugation may not quantitatively recover the metals in the particulate phase of awater sample.A detailed protocol for shipboard filtration of large volumes of sea water using commercially availableequipment is given by Mart (1979). A completely submersible, self-contained, filtration apparatus,capable of filtering up to 1,000 L at a flow rate of 50 to 200 mL/min, is commercially available fromSeastar Instruments, Ltd., Sidney, British Columbia, Canada. Clean conditions, are essential for filteringsea water. If field conditions cannot be adequately controlled, then filtering should be conducted in alaboratory environment. However, filtration and preservation must occur within 24 hours of samplecollection.Sections 5.3.1 and 5.3.2 of the Metals chapter (PSEP, 1997b) describe laboratory methods for dissolvedand particulate metals sample preparation. Additional information about water column samples collectedfor the analysis of ultratrace level metals can be found in EPA Method 1669 Sampling Ambient Water forDetermination of Trace Metals at EPA Water Quality Criteria Levels (EPA, 1995).

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1650 Biological Tissues Metals

1651 Method

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Resection is best performed under "cleanroom" conditions. The cleanroom should have positive pressureand filtered air. It should also be isolated from highly contaminated samples (e.g., containing hazardouswaste). At a minimum, care should be taken to avoid contamination from dust, instruments, and allmaterials that may come in contact with the samples. If gloves are worn during resection, they must bepowder-free.The best equipment to use on tissue samples intended for trace metal analyses is made of quartz,polypropylene, polyethylene or fluoropolymers. Stainless steel that is resistant to corrosion may be usedif necessary. Corrosion resistant stainless steel is not magnetic, and thus can be distinguished from otherstainless steel by applying a magnet. Stainless steel scalpels have been found not to contaminate musselsamples (Stephenson, et al., 1979). However, other biological tissues (e.g., fish muscle) may becontaminated by exposure to stainless steel. Quartz utensils are ideal but expensive. Titanium knivesmay be used and can be made inexpensively from titanium sheet metal. Titanium, however, is soft andthe knives may be difficult to keep sharp. Ceramic knives have been used successfully for tissue cutting.To minimize contamination when resecting tissue, separate sets of utensils should be used for removingouter tissue vs. removing tissue intended for analysis.Sample size requirements can vary with tissue type and detection limit requirements. In general, aminimum sample size of 6 grams (wet weight) is required for a single analysis of all priority pollutantmetals. A separate sample of a least 5 grams (wet weight) is required for a single mercury analysis.Larger samples should be collected to allow for duplicates, spikes, and required reanalyses.

General Attribute

a systematic procedure for collecting data for one or more attributes defining what to measure or observe and how to measure or how to describe an observation; or a systematic procedure for processing field-collected data values into summary attributes. Methods have the following characteristics: 1) described in documentation, 2) repeatable by others, 3) _______.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1652 Physical Water Quality Microbiology

1653 Biological Tissues Microbiology

1654 Biological Fish Microsatellite genotypes

1655 Biological Fish Migrant trap counts, trap efficiencies from mark-recapture

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Water sampling can result in highly variable data because bacteria are not uniformly distributedthroughout the water column (Gameson, 1983) and sample volumes generally are limited to 50 to 100 ml.One major cause of spatial heterogeneity is the tendency for bacterial cells to concentrate in a thinmicrolayer on the surface of the water. Because bacterial abundances in the microlayer may exceedabundances in underlying surface water by several orders of magnitude (Hardy, 1982), it is recommendedthat the microlayer and underlying water be sampled separately. However, sampling of the microlayerrequires specialized techniques that have yet to be standardized. Also, collection and analysis of samplesfrom both the microlayer and underlying water at each station may be too expensive for many routinemonitoring programs. Thus, if separate samples cannot be collected within the constraints of a particularprogram, it is recommended that the microlayer be included in the sample by using the traditional"scoop" method of surface water sampling (EPA, 1978). This method involves plunging an open bottlestraight down to a depth of 15 to 30 cm below the water surface, moving it horizontal to the surface whiletipping it slightly to let trapped air escape, and removing the bottle in a vertical position. Approximately2.5 cm of headspace is required in the sample container. Sample containers should be isolated fromcontact with wet ice as it could impart contamination to the sample.

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Shellfish sampling is very important because the consumption of shellfish, sometimes in the raw state,may present a serious public health hazard. Shellfish offer several advantages for sampling: theyconcentrate bacteria, can be sampled relatively easily and reflect pollution levels over relatively longperiods in both sediment and water. In Puget Sound it is recommended that one or several shellfishspecies of recreational or commercial importance be sampled routinely at each major harvesting area.The use of a small number (preferably one) of species as standards will reduce the variation amongstations and sampling periods that results from interspecies differences in the propensity to concentratebacteria. Because of the variability of microbial concentrations in different types of tissues and species,the part of the organism selected for analysis should be based on project objectives, most likely driven byhuman consumption of specific tissue types. While the protective shell of most shellfish will precludecontamination from sampling implements, care should be taken not to introduce microbial contaminationto the sample organisms. As soon as specimens have been collected, they should be placed intopolyethylene bags with minimal handling by the sampling personnel. Recommended procedures forprocessing shellfish samples for microbiological analysis can be found in PSEP, 1986c. Processing ofsamples is best performed in a controlled environment such as the biology laboratory.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Migrant census (total numbers)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1656 Biological Fish Migrant trap, seine, or electrofishing catch per unit effort

1657 Biological Fish Migration distribution

1658 Biological Fish

1659 Biological Fish Migration patterns Migration patterns

1660 Biological Fish Migration timing

1661 Biological Fish Migration timing. Migration timing.

1662 Biological Fish Miles accessible Spawning and Rearing Habitat: Breadth

1663 Biological Fish Spawning and Rearing Habitat: Connectivity

1664 Physical

1665 Physical Miles Surveyed total number of miles surveyed for each section

1666 Biological Fish

1667 Physical Mineral Resources description of minerals

1668 Physical

1669 Physical 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

Status & Trend or Effectiveness

Migrant index (relative numbers)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Migration of radio tagged fish

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Miles occupied, % of historical usage

Status & Trend or Effectiveness

Habitat Quality & Quantity

Miles of Poor, Fair, Good or excellent Spawning Habitat, Macro-invertebrate and fish assemblages

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Mimimum Viability Abundance Threshold

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Minimum Instream Flows

Status & Trend or Effectiveness

Habitat Quality & Quantity

Mining Activity, Disturbance

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1670 Physical MiningActivity

1671 Physical MiningActivity

1672 Physical MiningActivity

1673 Physical MiningActivity

1674 Physical

1675 Attribute Monitoring Object:

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Monitoring as an Index Survey

Implementation Monitoring

General Attribute

The subject monitored Each subject may have multiple associated metrics or variables, indicators or derived variable . ) (See Appendix A for the full list of attributes, Note: The attributes Identified are primarily indicators/derived variables.)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1676 Monument the Site Site markers are used to monument the reach location. The markers will assist others in finding the start of the original sample reach. Site markers will not be placed in designated wilderness areas.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1677 Other Other Monumentation Description of established monumentation

1678 other other Monumentation Description of established monumentation

1679 Biological Fish Mortality

1680 Biological Fish

1681 Biological Fish Mortality (total Fishery) Total Fishery: (i.e., both landed catch and non-landed mortalities)

1682 Biological Fish Number of fish that die per capture method or gear.

1683 Biological Fish Mortality rates Mortality rates associated wit hpredators.

1684 Biological Fish

1685 Biological Fish

1686 Biological Fish

1687 Attribute

1688 Physical Water Quality Movemetn of Nitrogen see: Nitrogen Movement

1689 Biological Fish May need to be defined

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Mortality (raw data; tagged fish)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Mortality by Geartype/method

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Mortality, Total Fishery: (i.e., both landed catch and non-landed mortalities)

Status & Trend or Effectiveness

Mortality, Total Fishery: (i.e., both landed catch and non-landed mortalities)

Status & Trend or Effectiveness

Mortality, Total Fishery: (i.e., both landed catch and non-landed mortalities)

Status & Trend or Effectiveness

General Attribute

Estuarine & Nearshore Habitat

Most data collected by project partners

Status & Trend or Effectiveness

Status & Trend or Effectiveness

MSY Escapement Levels,

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1690 Physical mudflats

1691 Other Other MWMT ?

1692 Other Other MWMT Start Beginning date for MWMT measurement

1693 Other Other MWMT Start Ending date for MWMT measurement

1694 Other Other Name of Road name of road

1695 Physical Vegetation

1696 Biological Fish

1697 Biological Fish Natural Origin Recruits

1698 Biological Fish

1699 Biological Fish

1700 Biological Fish

1701 Biological Fish Number of naturally produced recruits by brood year for both naturally produced parents and hatchery parents (≥ age-3).

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

National Wetland Inventory classification

Status & Trend or Effectiveness

Native fish adult Abundance,

Status & Trend or Effectiveness

Calculate the number of NORs (number of natural origin recruits (spawners) by brood year for naturally produced parents).

Status & Trend or Effectiveness

Natural Origin Recruits (NOR)

NORs (number of naturally produced recruits (total recruits) by brood year for both naturally produced parents and hatchery parents (≥ age-3)).

Status & Trend or Effectiveness

Natural Origin Spawner and Hatchery Origin Spawner Abundance

Status & Trend or Effectiveness

Natural Origin Spawners

Calculate the number of NORs (number of natural origin recruits (spawners) by brood year for naturally produced parents).

Status & Trend or Effectiveness

Naturally Produced Recruits

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1702 Contact Networking Link AddrThe name of the program from which data may be uploaded or downloaded and Web the address of source

1703 Physical Water Quality

1704 Physical Water Quality Nitrate in Streams

1705 Physical Nitrate-trite

1706 Physical Nitrogen

1707 Physical Water Quality Nitrogen Movement

1708 Physical Water Quality

1709 Other Other No Access Yes - if site is NOT accessable

1710 Biological Other

1711 Biological Species Non-native Species

1712 Biological Other

1713 Other Other Non-Sampleable Yes- is site NOT suitable for sampling

1714 Event Attributes Event Attributes

Implementation Monitoring

General Attribute

Status & Trend or Effectiveness

Nitrate in Farmland Streams and Groundwater  

This indicator reports on the concentration of nitrate in representative farmland streams and groundwater sites. Specifically, the indicator reports the percentage of streams and groundwater wells with average nitrate concentrations in one of four ranges, in areas that are primarily farmland.

Status & Trend or Effectiveness

This indicator reports on the concentration of nitrate in representative streams in forested areas. Specifically, the indicator reports the percentage of streams with average nitrate concentrations in one of four ranges, for streams draining watersheds that are primarily forested.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

This indicator reports the yield of nitrogen from major watersheds: pounds of nitrogen per square mile of watershed area that enters rivers and streams through discharges, runoff, and other sources. It also reports the load of nitrate, a common form of nitrogen, from major rivers: tons of nitrate carried to the ocean each year by the four largest U.S. rivers.

Status & Trend or Effectiveness

Nitrogen, nitrate, & ammonium nitrate

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Nonnative / invasive species

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

This indicator will report the percentage of major estuaries with high, medium, or low influence by non-native species. Ratings of the degree of influence should incorporate both the number of different species present and the degree to which they occupy available habitat

Status & Trend or Effectiveness Non-native Species  

This indicator reports the percentage of watersheds with different numbers of non-native species with established breeding populations. The number of such species is also shown for each watershed. “Non-native” includes species not native to North America and those that are native to this continent but are now found outside their historic range.

Status & Trend or Effectiveness

General Attribute

Non-Sampleable-Temporary

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1715 Event Attributes Event Attributes

1716 Event Attributes Event Attributes

1717 Event Attributes Event Attributes

1718 Event Attributes Event Attributes

1719 Event Attributes Event Attributes

1720 Event Attributes Event Attributes

1721 Event Attributes Event Attributes

1722 Event Attributes Event Attributes

1723 Event Attributes Event Attributes

1724 Event Attributes Event Attributes

1725 Biological Fish Non-target fish release rate.

1726 Physical Non-Woody Herbs 0 = Absent, 1 = Sparse, 2 = Moderate, 3 = Heavy, 4 = Very Heavy

1727 Biological Other

1728 Biological Plankton Copepod Species

General Attribute

Non-Sampleable-Temporary

General Attribute

Non-Sampleable-Temporary

General Attribute

Non-Sampleable-Temporary

General Attribute

Non-Sampleable-Temporary

General Attribute

Non-Sampleable-Temporary

General Attribute

Non-Sampleable-Temporary

General Attribute

Non-Sampleable-Temporary

General Attribute

Non-Sampleable-Temporary

General Attribute

Non-Sampleable-Temporary

General Attribute

Non-Sampleable-Temporary

Status & Trend or Effectiveness

Non-target fish release rate.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Northern Copepod Biomass anomalies

Status & Trend or Effectiveness

Northern Copepod Biomass anomolies

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1729 Attribute

1730 Biological Fish NRR NRRs (calculated as NORs/spawner).

1731 Biological Fish NRR HRR (number of Natural returning adults per brood year/broodstock)

1732 Biological Fish NRR Difference

1733 Biological Fish NRR Ratio

1734 Physical Hydrology

1735 Biological Fish

1736 Physical Number of Pools See: Pools, Number of

1737 Biological Fish Number of Redds See: Redds, Number of

1738 Biological Fish Number of redds Estimate of total redds based on survey

1739 Biological Fish Number of smolts See: smolts, Number of

Status & Trend or Effectiveness

General Attribute

Estuarine & Nearshore Habitat

Not all of these parameters are collected at every site. Vegetation is always included but tidal channel measurements, water temperature, and soil parameters are not always included.

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Number and Duration of Dry Periods in Grassland/Shrubland Streams and Rivers  

The indicator tracks the frequency and duration of zero-flow conditions for streams and rivers in grassland/shrubland regions. It reports the percentage of streams and rivers that have at least one no-flow day per year, and the percentage where the duration of zero-flow periods for a given period is substantially longer or shorter than the long-term average.

Status & Trend or Effectiveness

Number of natural residuals

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1740 Physical Number of Weirs See: Weirs, Number of

1741 Biological Fish Numbers of adult fish

1742 Project Type Nutrient Enrichment: Projects to add marine derived nutrients back into the system

1743 Project Type Nutrient Enrichment: Projects to add marine derived nutrients back into the system

1744 Project Type

1745 Project Type

1746 Project Type

1747 Project Type

1748 Project Type

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Effectiveness Monitoring

Project Tracking

Implementation Monitoring

Project Tracking

Effectiveness Monitoring

Project Tracking

Nutrient Enrichment: Carcass Analog

Fish meal bricks placed in the stream to increase nutrient availability

Total of fertilizer delivered (poundsto nearest 100 pounds); Total acres of each treatment to nearest whole acre.

Implementation Monitoring

Project Tracking

Nutrient Enrichment: Carcass Analog

Fish meal bricks placed in the stream to increase nutrient availability

Total of fertilizer delivered (poundsto nearest 100 pounds); Total acres of each treatment to nearest whole acre.

Effectiveness Monitoring

Project Tracking

Nutrient Enrichment: Carcass Placement

Dead salmon added to stream

Total acres of each treatment to nearest whole acre, total weight of salmon carcasses placed in the stream

Implementation Monitoring

Project Tracking

Nutrient Enrichment: Carcass Placement

Dead salmon added to stream

Total acres of each treatment to nearest whole acre, total weight of salmon carcasses placed in the stream

Effectiveness Monitoring

Project Tracking

Nutrient Enrichment: Fertilizer

Nutrients placed in stream to increase nutrient availability Weight of

Total of fertilizer delivered (pounds to nearest 100 pounds); Total acres of each treatment to nearest whole acre.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1749 Project Type

1750 Physical

1751 Physical Nutrients

1752 Object To be Defined

1753 Observed Attribute a characteristic of an observed object

1754 Physical Ocean Conditions

1755 Biological Fish Ocean Condition Index: Predator Fish Abundance

1756 Biological Fish Ocean Condition Index: Transistion and coho survival

1757 Biological Fish Ocean Condition Index: Forage Fish Abundance

Implementation Monitoring

Project Tracking

Nutrient Enrichment: Fertilizer

Nutrients placed in stream to increase nutrient availability Weight of

Total of fertilizer delivered (pounds to nearest 100 pounds); Total acres of each treatment to nearest whole acre.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Nutrient limitation assays

Status & Trend or Effectiveness

Habitat Quality & Quantity

General Attribute

General Attribute

Status & Trend or Effectiveness

Oceans, Estuarine & Nearshore Habitat

Ocean condition index comprised of:

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1758 Biological Fish Ocean Condition Index: Catches of Coho in September trawl Survey

1759 Biological Fish Ocean Condition Index: Copepod Species Richness

1760 Biological Fish Ocean Condition Index: Northern Copepod Biomass anomolies

1761 Biological Fish Ocean Condition Index: Spring Flow Transition (Columbi River Plume)

1762 Biological Fish Ocean Condition Index: Upwelling: Local and regional physical conditions (upwelling)

1763 Biological Fish Ocean Condition Index: MEI (ENSO Index)

1764 Biological Fish Ocean Condition Index: Catches of Spring Chinook in June trawl Survey

1765 Physical Deep Water Temp & Salinity

1766 Physical Large Scale North Pacific (PDO Index)

1767 Physical Local Ecosystem conditions

1768 Physical Columbia River Hydro Model

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Ocean Condition index: Deep Water Temp & Salinity

Status & Trend or Effectiveness

Environmental Condition

Ocean Condition index: Large Scale North Pacific

Status & Trend or Effectiveness

Environmental Condition

Ocean Condition index: Local Ecosystem conditions

Status & Trend or Effectiveness

Environmental Condition

Ocean Condition index: Spring Transition

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1769 Physical SST/NOAA Buoy (Sea Surface Temperatures, Sea surface elevation, ENSO, PDO, Productivity index)

1770 Physical Ocean Survival See “Fish” and “Plume and Ocean” above

1771 Biological Fish

1772 Physical Off-Channel Habitats

1773 Physical Off-Channel Habitats

1774 Biological Species

1775 Biological Fish Optimum Yield

1776 Biological Other Orcas

1777 Other Other level of high water under normal circumstances-width of pool at this measurement

1778 Physical Water Quality Organics

Status & Trend or Effectiveness

Environmental Condition

Ocean Condition Index: SST/NOAA Buoy

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Ocean/Mainstem Harvest

Raw measure (primary). Number of fish caught in ocean, mainstem or tributary fisheries (commercial, tribal, or recreational). Determined from commercial landings, creel surveys, etc.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING: backwaters with cover, and low energy off-channel areas (ponds, oxbows, etc.) 3 AT RISK some backwaters and high energy side channels3 NOT PROPERLY FUNCTIONING few or no backwaters, no off-channel ponds3

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Olympia oyster growth and survival rates

Status & Trend or Effectiveness

the amount of fish that will provide the greatest overall benefit to the Nation, particularly with respect to food production and recreational opportunities, and taking into account protection of marine ecosystems

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Ordinary High Water Width

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Although collection of water column samples for organics analyses is not common in the four majorPuget Sound programs, the following basic guidelines are included.•. Collect samples for the analysis of volatile organic compounds first. Samples should be collected in40 ml VOA vials leaving no head space.•. Protect samples from possible contamination such as fuels, winch grease, exhaust, and solvents thatmay be present on or around a research vessel.Preserve water samples collected for organics analysis as soon as possible, according to the guidelinessummarized in Table 3.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1779 Biological Tissues

1780 Biological Fish Origin Origin of tagged fish

1781 Biological Fish Origin Origin of carcasses and/or brood stock (hatchery or naturally produced fish)

1782 Biological Fish Origin Number of naturally produced and hatchery produced salmonids counted in survey or at broodstock collection sites .

1783 Biological Fish Origin Number of naturally produced and hatchery produced salmonids counted in survey or at broodstock collection sites .

1784 Biological Fish Origin Wild, Hatchery, Other

1785 Biological Fish Origin The population from which the species belongs to

1786 Biological Fish Origin (Experimental) Number of naturally produced and hatchery produced fish marked with PIT tags counted at remote detectors.

1787 Biological Fish Origin (Experimental) Number of naturally produced and hatchery produced fish marked with PIT tags counted at remote detectors.

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Organics

To avoid cross-contamination, all equipment used in sample handling should be thoroughly cleanedbefore each sample is processed. All instruments must be of a material that can be easily cleaned (e.g.,stainless steel, anodized aluminum, borosilicate glass). Before the next sample is processed, instrumentsshould be cleaned (e.g., washed with a detergent solution, rinsed with tap water, soaked in high-purityacetone or dichloromethane, and finally rinsed with analyte-free water). Work surfaces should becleaned with 95 percent ethanol or other similar cleaning agent and allowed to dry completely. The removal of biological tissues should be carried out by skilled persons that have been trained by anexperienced biologist. Tissue should be removed with clean stainless steel or quartz instruments (exceptfor external surfaces of the specimen). The specimens should come into contact with precleaned glasssurfaces only. Polypropylene, polyethylene, and other plastic surfaces and implements are a potentialsource of contamination and should not be used. To control contamination when resecting tissue,separate sets of utensils should be used for removing outer tissue and for resecting tissue for analysis.The tissue sample should be placed in a clean glass or PTFE container (e.g., containers that have beenwashed with detergent, rinsed at least once with tap water, rinsed at least twice with analyte-free water,rinsed with acetone, and, finally, rinsed with high-purity dichloromethane). Firing of the glass jar at350°C for 4 hours may be substituted for the final solvent rinse only if precautions are taken to avoidcontamination as the container is dried and cooled. Jars used to store samples intended for VOA shouldnot be solvent rinsed but instead, should be heated to greater than 105°C as a final preparation step.

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1788 Biological Fish Origin ratio Proportion of spawning population made up of different origin fish

1789 Biological Fish Origin, Hatchery The population from which the species belongs to and the hatchery from which it came.

1790 Physical Other Other (please specify:

1791 Biological Fish Out migration timing

1792 Project Type

1793 Project Type

1794 Project Type

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Effectiveness Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary):

Projects that result in improvement of or increase in the availability of estuarine habitat such as tidal channel restoration, floodplain connectivity, floodgate fish passage or diked land conversion. This habitat is important for salmonid out migration where juvenile Salmonids begin the transition from fresh to salt water environments and where predatory pressures are known to be high. Estuarine habitat is distinct from other wetland habitat in being tidally influenced.

Implementation Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary):

Projects that result in improvement of or increase in the availability of estuarine habitat such as tidal channel restoration, floodplain connectivity, floodgate fish passage or diked land conversion. This habitat is important for salmonid out migration where juvenile Salmonids begin the transition from fresh to salt water environments and where predatory pressures are known to be high. Estuarine habitat is distinct from other wetland habitat in being tidally influenced.

Effectiveness Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Channel Modification

Deepening or widening existing tidal channel

Type of channel modification and Length of channel modified in miles to nearest 0.01 miles)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1795 Project Type

1796 Project Type

1797 Project Type

1798 Project Type

1799 Project Type

Implementation Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Channel Modification

Deepening or widening existing tidal channel

Type of channel modification and Length of channel modified in miles to nearest 0.01 miles)

Effectiveness Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Creation of new estuarine area

Creation of an estuarine area where one did not exist previously.

Acres of estuary proposed for treatment and actually treated to nearest whole acre.

Implementation Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Creation of new estuarine area

Creation of an estuarine area where one did not exist previously.

Acres of estuary proposed for treatment and actually treated to nearest whole acre.

Effectiveness Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Dike Breaching/Removal

Removal or breaching of a barrier constructed to contain tidal flooding. Breaching/ removal allows for natural flow/flood regime and potential for off-channel habitat usage.

Number of Dikes breached or removed, total aggregate length of dike reconfigured in miles to .01 miles.

Implementation Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Dike Breaching/Removal

Removal or breaching of a barrier constructed to contain tidal flooding. Breaching/ removal allows for natural flow/flood regime and potential for off-channel habitat usage.

Number of Dikes breached or removed, total aggregate length of dike reconfigured in miles to .01 miles.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1800 Project Type

1801 Project Type

1802 Project Type

1803 Project Type

1804 Project Type

1805 Project Type

Effectiveness Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Dike Reconfiguration

Modification of location or design of an embankment to confine or control water flow.

Number of reconfigurings, total aggregate length of dike reconfigured in miles to .01 miles.

Implementation Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Dike Reconfiguration

Modification of location or design of an embankment to confine or control water flow.

Number of reconfigurings, total aggregate length of dike reconfigured in miles to .01 miles.

Effectiveness Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Invasive Species Treated

Control or removal of invasive or exotic estuarine species e.g. Spartina alterniflora

Invasive species (latin name); Acres of estuary proposed for treatment and actually treated to nearest whole acre.

Implementation Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Invasive Species Treated

Control or removal of invasive or exotic estuarine species e.g. Spartina alterniflora

Invasive species (latin name); Acres of estuary proposed for treatment and actually treated to nearest whole acre.

Effectiveness Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Removal of existing fill material

Removal of fill that isn't associated with a dike e.g. removal of tideflat fill.

Acres of estuary proposed for treatment and actually created to nearest whole acre.

Implementation Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Removal of existing fill material

Removal of fill that isn't associated with a dike e.g. removal of tideflat fill.

Acres of estuary proposed for treatment and actually created to nearest whole acre.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1806 Project Type

1807 Project Type

1808 Project Type

1809 Project Type

1810 Biological Fish Overall Productivity See: Productivity, Overall

1811 Biological Fish Trends in abundance for ESA & non ESA listed salmon and steelhead

1812 Biological Fish Overfished

1813 Other Other Overflow Present is there water overflowing over the dam

1814 Physical Overhang vegetation No Data Definition Exists

1815 Physical Overhanging vegetation Area of the channel effectively covered by vegetation within 1 m of the surface water.

Effectiveness Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Restoration/Rehabilitation of estuarine habitat

Restoration of existing or historic estuarine habitat

Acres of estuary proposed for treatment and actually treated to nearest whole acre.

Implementation Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Restoration/Rehabilitation of estuarine habitat

Restoration of existing or historic estuarine habitat

Acres of estuary proposed for treatment and actually treated to nearest whole acre.

Effectiveness Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Tidegate Alteration/Removal

Removal or changes to tidegate that allows water to flow freely when the tide goes out, but which prevents the water from flowing in the other direction. Changes are generally made to allow fish passage at low and high tide.Number of tide gaits removed or altered

Implementation Monitoring

Project Tracking

Outmigrant Survival Improvement (Estuary): Tidegate Alteration/Removal

Removal or changes to tidegate that allows water to flow freely when the tide goes out, but which prevents the water from flowing in the other direction. Changes are generally made to allow fish passage at low and high tide.Number of tide gaits removed or altered

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Overall Sustainability of Pacific Salmon

Status & Trend or Effectiveness

a rate or level of fishing mortality that jeopardizes the capacity of a fishery to produce the maximum sustainable yield on a continuing basis.”

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1816 Physical OverhangingVeg

1817 Physical OverhangingVeg

1818 Physical OverhangingVeg

1819 Physical OverhangingVeg

1820 Physical OverhangingVeg

1821 Physical water quality Oxygen Levels See: Areas with Depleted Oxygen

1822 Physical

1823 Physical Palmer Drought Severity Index (PDSI).

1824 Biological Other

1825 Physical Park lawn No Data Definition Exists

1826 Physical Park/Lawn, Disturbance 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

1827 Physical Riparian Condition ParkLawn

1828 Physical Riparian Condition ParkLawn

1829 Physical Riparian Condition ParkLawn

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Environmental Condition

Pacific decadal oscillation (PDO) Index

Status & Trend or Effectiveness

Environmental Condition

Palmer Drought Severity Index (PDSI).

Status & Trend or Effectiveness

Parasite infection prevalence

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1830 Physical Riparian Condition ParkLawn

1831 Physical Riparian Condition ParkLawn

1832 Physical Riparian Condition ParkLawn

1833 Biological Fish Brood year comparisons with adult data

1834 Biological Fish Parr presence/absence Snorkel or electrofishing surveys in rearing areas

1835 Biological Fish Parr presence/absence Distributed sampling regime

1836 Biological Fish Parr to smolt survival

1837 Biological Fish

1838 Attribute Partners: The names of Agencies or organizations that collaborated on or funded the project

1839 Biological Fish Passage Abundance

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Parr or smolts per spawner

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Participation in Freshwater Recreational Activities  

This indicator shows the number of days that people took part in a variety of freshwater activities. A “recreation day” for this measure is any day during which a person was engaged in the activity, whether for only a few minutes or for many hours.

Implementation Monitoring

General Attribute

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1840 Biological Fish

1841 Physical

1842 Biological Fish Artificial physical barriers to upstream or downstream fish migration

1843 Biological Fish Passage Survival Number of juvenile fish using various passage routes.

1844 Biological Fish Passage Survival Survival of juvenile fish using various passage routes (dependent on objectives).

1845 Biological Fish Passage Survival Route-specific survival.

1846 Biological Fish Passage timing. Date that a fish passes past a dam or other passage point where counts are made

1847 Biological Fish Passage timing. Passage timing.

1848 Physical 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

1849 Physical PastureRangeHay

1850 Physical PastureRangeHay

1851 Physical PastureRangeHay

1852 Physical PastureRangeHay

1853 Physical PastureRangeHay

Status & Trend or Effectiveness

Passage Abundance goals

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Passage Barriers, Connectivity

Status & Trend or Effectiveness

Passage Barriers/Diversions

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Pasture/ Range/ Hay Field

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1854 Physical Pavement cleared lot No Data Definition Exists

1855 Physical Pavement/Cleared Lots 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

1856 Physical PavementClearedLot

1857 Physical PavementClearedLot

1858 Physical PavementClearedLot

1859 Physical PavementClearedLot

1860 Physical PavementClearedLot

1861 Physical percent if image that has no clouds

1862 Physical percent of total watershed study area land use type covers

1863 Physical percent of total watershed study area land use type covers

1864 Biological Fish Percent Females (adults) Raw measure (primary): carcass or weir counts.

1865 Biological Fish Percent Females (adults)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Percent Cloud Free, Land Use

Status & Trend or Effectiveness

Habitat Quality & Quantity

Percent Coverage Level 1, Land Use

Status & Trend or Effectiveness

Habitat Quality & Quantity

Percent Coverage Level 2, Land Use

Status & Trend or Effectiveness

Status & Trend or Effectiveness

The percentage of females in the spawning population. Calculated using 1) weir data, 2) total known origin carcass recoveries, and 3) weir data and unmarked carcasses above and below weir. Calculated for wild, hatchery, and total fish.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1866 Physical Sediment Percent FinesStatus & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

This procedure provides a gross field measurement of percent fines in a sediment sample. This fieldmeasurement is not intended to take the place of Particle Size Distribution analysis in the laboratory, butto aid in directing collection of bioassay samples and reference samples which can be dependent uponpercent fines. Equipment required to perform this field measurement includes:•. USA Standard Testing Sieve #230 (63 μm opening),•. 50-mL measuring cup,•. 100-mL graduated cylinder,•. small plastic funnel,•. teaspoon,•. squirt bottle filled with water, and•. safety glasses or goggles and chemical-resistant gloves (if contamination is suspected to be present). Once a sediment sample has been collected, the following procedures should be carried out.•. Thoroughly rinse the sieve and all other equipment and visually inspect to ensure that no sediment orother detritus is present.•. Collect a sediment aliquot from the grab sampler in the 50-mL cup, ensuring that exactly 50 mL iscollected by "shaving" excess sediment from the top of the cup and rinsing any sediment off the sidesof the cup.•. Transfer the sediment aliquot from the 50-mL cup to the sieve using the spoon. Thoroughly rinse thecup and the spoon into the sieve with water to ensure that the entire aliquot has been transferred.•. Gently rinse the sieve with running water and observe the stream of water coming from the bottom ofthe sieve. During this step, the fines are being rinsed away. Rinse until the stream of water appearsclear. This indicates that all fines have passed through the sieve. Gently rinse the remainingsediment to one side of the sieve.•. Place the plastic funnel into the 100 mL graduated cylinder and position the lip of the sieve over thefunnel. Using the squirt bottle, rinse the sediment into the graduated cylinder, directing the stream ofwater through the back of the sieve. Continue rinsing until all sediment has been transferred to thegraduated cylinder. If needed, rinse any sediment that may have adhered to the funnel. The rinsewater should not overflow the graduated cylinder. If it appears that the graduated cylinder willoverflow before all sediment has been transferred, discard the sample and repeat the entire procedure.•. Allow the sediment to settle completely in the graduated cylinder and record the amount of sedimentpresent. This measurement represents the volume retained. Also record any turbidity observed in theoverlying water.The volume retained (in mL), subtracted from the original 50-mL aliquot, provides the volume thatpassed through the sieve, or volume of fines in 50 mL of sample. Multiplying this remainder by twogives the volume of fines in 100 mL or percent fines. The formula can be stated as:Percent fines = (50 mL - Volume Retained in mL) x 2

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1867 Biological Fish See: Fines in spawning substrate, Percent

1868 Biological Fish Life History Diversity

1869 Biological Fish Life History Diversity

1870 Biological Fish Life History Diversity

1871 Biological Fish Percent of run harvested.

1872 Physical See: Vegetation in Stream, Percentage

1873 Physical Substrate Fine / Sand, Percentage

1874 Physical Substrate Gravel,Percentage

Status & Trend or Effectiveness

Percent fines in spawning substrate

Status & Trend or Effectiveness

Percent hatchery origin spawners & origin (pHOS),

Status & Trend or Effectiveness

Percent natural influence (PNI)

Status & Trend or Effectiveness

Percent natural origin broodstock (pNOB)

Status & Trend or Effectiveness

Percent of run harvested.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Percent of Vegetation in Stream

Status & Trend or Effectiveness

Habitat Quality & Quantity

Percent Substrate Fine / Sand

Status & Trend or Effectiveness

Habitat Quality & Quantity

Percent Substrate Gravel

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1875 Physical • Quantify the percentage of fine sediments on the surface of pool tail substrate.Status & Trend or Effectiveness

Habitat Quality & Quantity

Percent Surface Fines on Pool Tails

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1876 • Quantify the percentage of fine sediments on the surface of pool tail substrate.Percent Surface Fines on Pool Tails

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1877 Biological Fish See: Harvested, Percentage of Run

1878 Physical See: Substrate Coarse, Percentage

1879 Physical Substrate Other, Percentage

1880 Physical Perennial Stream Length total length of all streams in basin that are present year around

1881 Physical Pesticides

1882 Physical Toxicology

1883 Physical Water Quality pH

1884 Physical pH See " Water Quality: pH"

1885 Physical Water Quality pH

1886 Physical Water Quality ph level ph level of water

1887 Biological Fish Phenotypic data

Status & Trend or Effectiveness

Percentage of run harvested.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Percentage Substrate Coarse

Status & Trend or Effectiveness

Habitat Quality & Quantity

Percentage Substrate Other

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Pesticides in Streams and Groundwater

This indicator reports on pesticides found in farmland streams and groundwater. The graphs on the top show the average number of pesticides detected throughout the year in streams and shallow groundwater wells. The graphs on the bottom show the percentage of streams and shallow groundwater wells with pesticide concentrations that exceeded standards and guidelines (benchmarks) set for the protection of human health or aquatic life. These graphs report currently used agricultural pesticides and selected breakdown products of these pesticides, as well as selected organochlorine insecticides that were widely used in the past but whose use is no longer permitted in the United States.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

The pH of a water column sample may be measured in the field using a pH meter. The meter should becalibrated according to manufacturers’ specifications with at least two standards of known pH. The pHof these standards should bracket the expected pH at the sampling site. For example, if the pH at thesampling site is expected to be basic (pH 7 to 14), standards of pH 7.00 and 10.00 should be used tocalibrate the meter. If pH measurements at the sampling site do not fall within the initial calibrationrange, the meter should be recalibrated with appropriate standards and sample pH remeasured for thosesamples which fell outside the calibration range.

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1888 Physical Water Quality Phosphorus

1889 Physical Phosphorus

1890 Physical Water Quality

1891 Physical Water Quality

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Phosphorus in Farmland Streams

This indicator reports on the concentration of phosphorus in representative farmland streams. Specifically, the indicator reports the percentage of streams with average annual concentrations in one of four ranges, for streams draining watersheds that are primarily farmland.

Status & Trend or Effectiveness

Phosphorus in Lakes, Reservoirs and Large Rivers

This indicator reports the average concentration of phosphorus in lakes, reservoirs, and large rivers. Total phosphorus concentrations are reported in four ranges: below 20 parts per billion (ppb), from 20 to 50 ppb, from 50 to 100 ppb, and 100 ppb or more.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1892 Photo DocumentationInformation about each reach will be documented in photographs and in the field data recorders. Four photos (1 left bank, 1 downstream, 1 right bank, 1 upstream) will be taken at Transect A of each sample reach. In addition, photographs should be taken of rare or unique features in the sample reach, including culverts, logjams, beaver dams, or vertebrates that are difficult to identify.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1893 Attribute Photopoints

1894 Physical

1895 Other Other PhotoTime time of photograph

1896 Physical Physical Barriers See: Barriers to Fish Passage

1897 Biological Fish Physical Habitat Habitat definitions (based on Hillman 2003, see that ref for broader definitions).

1898 Physical Physical Habitat Average values, variability, percentiles, and density (e.g., number per km) (see Kaufmann et al. 1999).

1899 Biological Other Phytoplankton

1900 Biological Other

1901 Physical Pipe (inlet/Outlet) 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

1902 Physical Pipes inlet outlet No Data Definition Exists

1903 Physical PipesInletOutlet

1904 Physical PipesInletOutlet

1905 Physical PipesInletOutlet

1906 Physical PipesInletOutlet

Status & Trend or Effectiveness

General Attribute

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Environmental Condition

Photosynthetically Active Radiation

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

PI (Parasitic Index)relative weight of parasite burden per fish

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1907 Biological Fish Piscivory index

1908 Biological Fish

1909 Biological Other Plankton

1910 Physical Vegetation

1911 Physical Vegetation

1912 Physical Vegetation

1913 Biological Other Plant Growth Index

1914 Biological Vegetation plants Species

1915 Other Other PLS Available is the PLS info available

1916 Other Other Plunge Pool Length length of plunge pool

1917 Other Other Plunge Pool Max Depth max depth of plunge pool

Status & Trend or Effectiveness

Status & Trend or Effectiveness

PIT Tag Ladder Detections

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Plant communities- extent

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Plant communities- interspersion

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Plant communities- patch size

Status & Trend or Effectiveness

This indicator reports a plant growth index, based on satellite measurements of the amount of solar energy absorbed by vegetation and potentially used for photosynthesis. The index shows, for any given year, whether plant growth in a region or for an ecosystem type was above or below the 15-year average (1989 through 2004, with one missing year). An index value of 1.0 in any year means that the amount of solar energy captured by vegetation and used for photosynthesis in that region or system during that year was the same as the 15-year average.

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1918 Physical Pool Criteria:Status & Trend or Effectiveness

Habitat Quality & Quantity

1. Pools are depressions in the streambed that are concave in profile, laterally and longitudinally.2. Pools are bounded by a head crest (upstream break in streambed slope) and a tail crest (downstream break in streambed slope).3. Pools have a water surface gradient close to “0” and are associated with “slower” flowing water.4. Only consider main channel pools where the thalweg runs through the pool, and not backwater pools.5. Pool span at least 90% of the wetted channel width at any location within the pool.6. Pool length, measured along the thalweg, is greater than its width, measured perpendicular to the thalweg, at the widest point.7. Maximum pool depth is at least 1.5 times the pool tail depth.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1919 Physical Pool Criteria: Sample every pool within the sample reach that meets the following criteria for low flow conditions.Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1920 Physical

1921 Physical Pool Head Difference difference between water surfaces between each pool

1922 Physical Pool Head ID unique id number for each pool difference

Status & Trend or Effectiveness

Habitat Quality & Quantity

Pool Frequency channel width # pools/mile15 feet 164 10 96 15 70 20 56 25 4750 26 75 23 100 18

PROPERLY FUNCTIONING: meets pool frequency standards (left) and large woody debris recruitment standards for properly functioning habitat (above) AT RISK meets pool frequency standards but large woody debris recruitment inadequate to maintain pools over time NOT PROPERLY FUNCTIONING does not meet pool frequency standards

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1923 Physical Watershed Status & Trend or Effectiveness

Watershed Condition

Pool Length and Residual Pool Depth

- Quantify the relative length and frequency of pool habitat in each reach. - Determine the average residual depth of pools.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1924 PhysicalStatus & Trend or Effectiveness

Habitat Quality & Quantity

Pool Length and Residual Pool Depth

Quantify the relative length and frequency of pool habitat in each reach & Determine the average residual depth of pools.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1925 Physical Pool measurement See: Residual Pool Depth others?

1926 Biological Fish pool occupancy

1927 Physical Pool Quality

1928 Physical percentage of vegetation coverage

1929 Physical Pool Size Depth depth of pool

1930 Physical Pool Size Diameter diameter of pool

1931 Physical Pool Spacing spacing of pools in stream reach: variable, <1, 1 - 4, 5 - 7, None

1932 Physical Pool tail crest fines

1933 Physical Pool Variability

1934 Physical Pool Variability

1935 Physical Pool Variability

1936 Physical Pool Variability

1937 Physical Pool Variability

1938 Physical Pool Variability

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING: pools >1 meter deep (holding pools) with good cover and cool water3, minor reduction of pool volume by fine sediment AT RISK few deeper pools (>1 meter) present or inadequate cover/ temperature3, moderate reduction of pool volume by fine sediment NOT PROPERLY FUNCTIONING no deep pools (<1 meter) and inadequate cover/ temperature3, major reduction of pool volume by fine sediment

Status & Trend or Effectiveness

Habitat Quality & Quantity

Pool Quality: % Vegetation Coverage

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1939 Physical Pool Variability

1940 Physical Pool Variability

1941 Physical Pool Variability

1942 Physical Pool Variability

1943 Physical Pool Variability

1944 Physical Pool Variability

1945 Physical Pool Variability

1946 Physical Pool Variability

1947 Physical Pool Variability

1948 Physical Pool Variability

1949 Physical Pool Variability

1950 Physical Pool Variability

1951 Physical Pool Variability

1952 Physical Pool Variability

1953 Physical Pool Variability

1954 Physical Pool_form_code

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1955 Physical Pool_form_code

1956 Physical Pool_form_code

1957 Physical Pool_form_code

1958 Physical Pool_form_code

1959 Physical Pool_form_code

1960 Physical Pool_form_code

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1961 Physical Pool_form_code

1962 Physical Pool_form_code

1963 Physical Pool_form_code

1964 Physical Pool_form_code

1965 Physical Pool_form_code

1966 Physical Pool_form_code

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1967 Physical Pool_form_code

1968 Physical Pool_form_code

1969 Physical Pool_form_code

1970 Physical Pool_form_code

1971 Physical Pool_form_code

1972 Physical Pool_form_code

1973 Physical Pool_form_code

1974 Physical Pool_form_code

1975 Physical Pool_form_code

1976 Physical Pool_form_code

1977 Physical Pool_form_code

1978 Physical Pool_form_code

1979 Physical Pool_form_code

1980 Physical Pool_form_code

1981 Physical Pool_form_code

1982 Physical Pool_form_code

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1983 Physical Pool_form_code

1984 Physical Pool_form_code

1985 Physical Pool_form_code

1986 Physical Pool_form_code

1987 Physical Pool_form_code

1988 Physical Pool_form_code

1989 Physical Pool_form_code

1990 Physical Pool_form_code

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1991 Physical Pool_form_code

1992 Physical Pool_form_code

1993 Physical Pool_form_code

1994 Physical Pool_form_code

1995 Physical Pool_form_code

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

1996 Physical Pool_form_code

1997 Physical Pool_form_code

1998 Physical Pool_form_code

1999 Physical Pool_form_code

2000 Physical Pool_form_code

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2001 Physical Pool_form_code

2002 Physical Pool_form_code

2003 Physical Pool_form_code

2004 Physical Pool_form_code

2005 Physical Pool_form_code

2006 Physical Pool_form_code

2007 Physical Pool_form_code

2008 Physical Pool_form_code

2009 Physical Pool_form_code

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2010 Physical Pools per Kilometer

2011 Physical Pools Per Kilometer number of pools per kilometer

2012 Physical Pools, Number of number of pools in the in the fishway

2013 Biological Fish Population estimate

2014 Biological Fish Population Growth Rate

2015 Biological Fish Population Growth Rate

2016 Biological Fish Population Mixing Mixing of test and control groups at detection site(s).

2017 Biological Fish Population Name ?

2018 Biological Fish

2019 Biological Fish Population Size

2020 Biological Fish Population Size

2021 Biological Fish Population Size

2022 Biological Fish The IC TRT Classifies it's populations into four classes; Basic, Intermediate, Large and Very Large

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Population Recovery Classification

The Lower Columbia River Salmon Recovery Plan classifies it's salmonid populations recovery goals into three population types; Primary Contributing and Stablizing

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Population Size Classification

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2023 Species Population: The name of the salmonid population impacted by the actions:

2024 Biological Fish Post-release Survival

2025 Biological Fish Post-release Survival

2026 Physical description of potential natural vegetation - info obtained from Omerniks classfication

2027 Physical Precipitation

2028 Physical Precipitation (mm)

2029 Physical Seasonal averages (June-August, September-November, December-February, and March-May) of precipitation.

2030 Biological Fish Predation Impact Impact to total abundance and productivity

2031 Biological Fish Predation numbers Number of spring Chinook and steelhead consumed by predators.

2032 Biological Other

2033 Biological Other Harbor Seal, Killer Whale, California Se Lion, Stellar Sea Lion, River Otter

2034 Biological Fish

2035 Biological Fish Predation totals Total salmonids consumed by predator species.

Implementation Monitoring

General Attribute

Status & Trend or Effectiveness

Raw measure (secondary): Survival from stage released (e.g., parr or smolt) to further sampling points (e.g., rotary screw traps at outlet of tributary, first mainstem dam encountered by smolts, dam encountered on return).

Status & Trend or Effectiveness

Post-release survival of natural and hatchery-origin fish are calculated as described above in the performance measure “Survival to Lower Granite Dam and Mainstem Dams”. No additional points of detection (i.e screwtraps) are used to calculate survival estimates.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Potential Natural Vegetations, Omernik Classification

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Precipitation, Seasonal average

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Predation Rate,: Avian Predator status and trend

Caspian Tern/ Cormorant, Presence/absence of avian predator colonies, colony size, number of nesting pairs, reproductive chronology, reproductive success rates

Status & Trend or Effectiveness

Predation Rate: Mammal Predator status and trend

Status & Trend or Effectiveness

Predation Rate: Predator Fish status and trend

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2036 Biological Species Predation/competition

2037 All Limiting Factors Limiting Factors

2038 Biological Other Predator Abundance Number of predators sampled.

2039 Biological Other Predator Abundance

2040 Biological Fish Exploitation rates of piscivoris predators greater than nine inches.

2041 Biological Fish

2042 Biological Fish Predator Index

2043 Biological Other Predator index

2044 Biological Fish

2045 Biological Fish

2046 Physical Predominant Bed Type dominant bed material: variable, bedrock, boulder, cobble/boulder, gravel/cobble, gravel, sand

2047 Biological Fish Raw measure

2048 Biological Fish

2049 Biological Fish Prerelease Tag Retention Raw measure

2050 Biological Fish Prerelease Tag Retention

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Predation/Competition/Disease

Predation or competition levels that have been elevated above likely rates in a normativesystem due to human action. (This factor does not include effects caused by mainstemColumbia River hydropower.)

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Numbers of predators by species (based on standardized CPUE for northern pikeminnow (and other fishes) and visual monitoring of pinnipeds, Caspian Terns, and double-crested cormorants).

Status & Trend or Effectiveness

Predator Explotation rate

Status & Trend or Effectiveness

Predator Fish Abundance

Status & Trend or Effectiveness

Predator Fish Abundance

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Predatory fish abundance

Status & Trend or Effectiveness

Predatory fish food habits

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Prerelease Mark Retention

Status & Trend or Effectiveness

Prerelease Mark Retention

Percentage of a hatchery group that have retained a mark up until release from the hatchery. Estimated from a sample of fish visually calculated as either “present” or “absent”

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Percentage of a hatchery group that have retained a tag up until release from the hatchery. Estimated from a sample of fish passed through a CWT detector or PIT tag detector. (All types of tags)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2051 Biological Fish Presence / absence

2052 Biological Fish Presence on spawning grounds (dependent on study objectives).

2053 Biological Fish

2054 Biological Fish

2055 Quality Control Field Quality Control Preservation Blank

2056 Biological Fish Raw measure (primary): percent of returning adults that die after reaching spawning ground, but before spawning.

2057 Biological Fish

2058 Biological Fish Pre-spawning mortality

2059 Biological Other

2060 Biological Other

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Presence on spawning grounds

Status & Trend or Effectiveness

Presence or absence of juvenile Chinook salmon in side channel habitat during winter months

Status & Trend or Effectiveness

Presence/absence of adult fishes

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

A preservation blank is a sample of analyte-free water that contains the same preservative used forassociated samples and is analyzed for the same parameters. Analysis of the preservation blank is used tomeasure and document any contamination present in the preservative.

Status & Trend or Effectiveness

Pre-spawn Mortality (female 0-25%)

Status & Trend or Effectiveness

Pre-spawn Mortality (female 0-25%)

Percent of female adults that die after reaching the spawning grounds but before spawning. Calculated as the number of females 25% spawned divided by the total number of female carcasses sampled. [25% spawned = female that contains 75% of the egg compliment].

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Prevalence intensity of parasitic nematode Anisakis simplex

Status & Trend or Effectiveness

Prevalence and mean intensity of infection with S. solidus

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2061 other other Production of Cattle

2062 Physical

2063 Biological Fish Productivity Calculate productivity or natural replacement rates (NRR) as the ratio of NORs to total spawners.

2064 Biological Fish Productivity, Freshwater

2065 Biological Fish Productivity, Overall

2066 Biological Fish

2067 Biological Fish

2068 Program Program

2069 Program

2070 Project Type Project

Status & Trend or Effectiveness

This indicator reports the number of cattle grazing on grasslands and shrublands (including pastures), rather than at feedlots, during July of each year.

Status & Trend or Effectiveness

Environmental Condition

Production of Food and Fiber and Water Withdrawals  

This indicator reports the production of food and fiber and the withdrawals of water, using an index with 1980 as the base year. Values above 1.0 indicate that production or withdrawals were greater than in 1980; values below 1.0 indicate that production or withdrawals were lower than in 1980. Products from U.S. ecosystems meet much of the nation’s food, fiber, and water needs. Changes in the quantities of these goods signal fundamental changes in the direct benefits we receive from ecosystems.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Progeny-per- Parent Ratio

Derived measure: Lambda, the median annual population growth rate estimate from adult-to-adult data (BiOp 2000, pg 6-4). Raw or derived measure: adult-to-adult can be either the ratio of return spawner to parent spawner abundance using expanded estimates, or a raw measure using ratio of return redds to parent redds.

Status & Trend or Effectiveness

Progeny-per- Parent Ratio

Adult to adult calculated for naturally spawning fish and hatchery fish separately as the brood year ratio of return adult to parent spawner abundance using data above weir. Two variants calculated: 1) escapement, and 2) spawners.

Implementation Monitoring

General Attribute

1) A collection of actions and activities including site specific projects to be implemented in response to a meet an agency mission or mandate or a recovery plan action. 2) a collection of projects using a consistent set of protocols to collect monitoring data for sites in multiple geographic locations in response to a research question, or to meet an agency mission or mandate.

General Attribute

a name that refers to a collection of projects using a consistent set of protocols to collect monitoring data for sites in multiple geographic locations in response to a research question, or to meet an agency mission or mandate.

Implementation Monitoring

General Attribute

1) a single or collection of sites in a specific geographic location (e.g., subbasin, watershed, reach) which an activities/tasks are implemented address an action. 2) a single or collection of monitoring sites in a specific geographic location (e.g., subbasin, watershed, reach) for which monitoring data will be collected using one or more specified protocols. (Note: a project may occur over several sites, each with unique locations or temporal properties that distinguish one from another. ( See Appendix A for list of attributes)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2071 Project

2072 Attribute Project Description:

2073 Project Type Project Maintainence Projects that maintain the functionality of Salmonid Restoration Projects

2074 Project Type Project Maintainence Projects that maintain the functionality of Salmonid Restoration Projects

2075 Project Type

2076 Project Type

2077

General Attribute

a name that refers to a collection of monitoring sites in a specific geographic location (e.g., subbasin, watershed, reach) for which monitoring data will be collected using one or more specified (approved?) protocols.

Implementation Monitoring

General Attribute

Short description of the project. The fish stock(s) and or ESUs targeted by the project should be identified as a part of this description.

Effectiveness Monitoring

Project Tracking

Implementation Monitoring

Project Tracking

Effectiveness Monitoring

Project Tracking

Project Maintainence: Site Maintenance

Maintenance of the restoration project site eg.replanting trees that failed to survive This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Implementation Monitoring

Project Tracking

Project Maintainence: Site Maintenance

Maintenance of the restoration project site eg.replanting trees that failed to survive This refers to meander miles of instream habitat treatments. Count actual stream length treated to nearest 0.01 miles.

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Protection: Land acquisition

Preserves existing intact ecological features, functions, and processes at site scale and/or enables the application of additional strategies without human land use constraints.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2078

2079 Protocol

2080 Physical Province

2081 Physical description of climate

2082 Location Location Location Province Description based on topography

2083 Location Location Location Province Name province names

2084 Location Location Location Province Number province numbers

2085 Physical description of soils

2086 Physical Province Vegetation description of vegetation

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Protection: Land use regulations

Limits or prohibits potentially harmful land use activities on or adjacent to the land surrounding the site, thereby protecting habitat-forming processes and features.

General Attribute

a name that refers to a collection of one or more methods compiled by a researcher, monitoring agency, or similar entity used to implement a field monitoring event. A method becomes a protocol when it is applied to a set of sites within a geographic location.

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Province Climate Description

Status & Trend or Effectiveness

Habitat Quality & Quantity

Province Surficial Deposits and Soils

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2087 Quality Control Field Quality Control Quality Control

2088 Biological Fish Quota See: Total Allowable Catch

2089 Physical

2090 Location Location Location Range range number

2091 Biological Fish Range (4-, 12-, 20-year) Variability of adults or juveniles

2092 Other Other Reach ID unique site id value given to research site

2093 Physical Reach Length The reach length is measured along the thalweg from the bottom of the reach to the top of the reach.

2094 Physical Reach Length length of survey reach

2095 Other Other Reach Section unique id for reach section

2096 Other Other Reach Shift Distance X-Site is shifted due to confluences, lakes, ponds, etc.

2097 Other Other Reach Shift Direction Up = upstream shift, Down - downstream shift

2098 Physical Reach Type map gradient A = more than 4.0, B = 1.5 - 4.0, C = less than 1.5

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Collection of one or more field QC samples may be required during a sediment sampling effort. The typeand frequency of QC sample collection will be specified during the project planning process. A list ofthe various types of sediment QC samples follows:

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Radiation (PAR UV Relative Intensity)

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2099 Biological Fish

2100 Biological Other Recolonization rates

2101 Physical

2102 Attribute Recovery Plan: The name of the Plan from which the action is identified (Drop Down Menu)

2103 Physical Watershed

2104 Physical Watershed

2105 Physical Watershed

2106 Physical Watershed

2107 Physical Watershed

2108 Physical Watershed

Status & Trend or Effectiveness

Recapture (raw data; tagged fish)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Recovery of population after a debris flow in 1986

Implementation Monitoring

General Attribute

Status & Trend or Effectiveness

Watershed Condition

Recreational_HikingTrails

Status & Trend or Effectiveness

Watershed Condition

Recreational_HikingTrails

Status & Trend or Effectiveness

Watershed Condition

Recreational_HikingTrails

Status & Trend or Effectiveness

Watershed Condition

Recreational_PrimitiveParks/Camping

Status & Trend or Effectiveness

Watershed Condition

Recreational_PrimitiveParks/Camping

Status & Trend or Effectiveness

Watershed Condition

Recreational_PrimitiveParks/Camping

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2109 Physical Watershed

2110 Physical Watershed

2111 Physical Watershed

2112 Physical Watershed

2113 Physical Watershed

2114 Physical Watershed

2115 Biological Fish

2116 Biological Fish

2117 Biological Fish

2118 Biological Fish Recruits

Status & Trend or Effectiveness

Watershed Condition

Recreational_SurfaceFilms

Status & Trend or Effectiveness

Watershed Condition

Recreational_SurfaceFilms

Status & Trend or Effectiveness

Watershed Condition

Recreational_SurfaceFilms

Status & Trend or Effectiveness

Watershed Condition

Recreational_Trash/Litter

Status & Trend or Effectiveness

Watershed Condition

Recreational_Trash/Litter

Status & Trend or Effectiveness

Watershed Condition

Recreational_Trash/Litter

Status & Trend or Effectiveness

Recruit/spawner (Smolt Equivalents per Redd or female)

Derived measure: Production to some life history stage derived as the ratio of returns to some location (e.g., smolts out, or adult returns to Columbia R., adult returns to the Yakima river) divided by the number at some life stage preceding it. For example, smolt production is the ratio of smolt abundance to brood year spawner abundance.

Status & Trend or Effectiveness

Recruit/spawner (Smolt Equivalents per Redd or female)

Juvenile production to some life stage divided by adult spawner abundance. Derive adult escapement above juvenile trap multiplied by the prespawning mortality estimate. Adjusted for redds above juv. Trap.

Status & Trend or Effectiveness

Recruit/spawner (Smolt Equivalents per Redd or female)

Recruit per spawner estimates, or juvenile abundance (can be various life stages or locations) per redd/female, is used to index population productivity, since it represents the quantity of juvenile fish resulting from an average redd (total smolts divided by total redds) or female. Several forms of juvenile life stages are applicable. We utilize two measures: 1) juvenile abundance (parr, presmolt, smolt, total abuncance) at the tributary mouth, and 2) smolt abundance at LGD.

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2119 Biological Fish

2120 Biological Fish Recruits Per Spawner

2121 Biological Fish Recruits Per Spawner

2122 Biological Fish Recruits per spawner

2123 Biological Fish Recruits Per Spawner

2124 Biological Fish Redd Number of redds within each ecoregion

2125 Biological Fish Redd counts Stream surveys conducted by walking and/or floating all streams within the index and randomly selected reaches

2126 Biological Fish Redd counts Stream surveys conducted by walking and/or floating all streams within the index and randomly selected reaches

2127 Biological Fish Redd counts Number of salmonid redds within index areas and randomly selected reaches

2128 Biological Fish Redd Distribution • Number and distribution of redds throughout major and minor spawning areas

2129 Biological Fish Redd Distribution Number and distribution of redds throughout major and minor spawning areas

2130 Biological Fish Redd Distribution Number and distribution of redds throughout the presumed historical range of the species.

2131 Biological Fish Redd distribution

2132 Biological Fish Redd Estimates Estimate the total number of redds

2133 Biological Fish Redd Estimates Estimate the total number of redds

Status & Trend or Effectiveness

Recruits (returns) per spawner

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2134 Biological Fish Redd Number • Number and distribution of redds throughout major and minor spawning areas

2135 Biological Fish Redds Number and locations (Lat/Long in decimal degrees) of salmonid redds.

2136 Biological Fish Redds, Number of number of redds (nests) in subbasin

2137 Physical Sediment Redox Potential

2138 Biological Fish

2139 Other Other Reference Points # landmarks along stream reach

2140 Physical Refugia

2141 Physical Relative Humidity see Humidity, Relative

2142 Physical Water Quality See: Conductivity, Relative Percent Difference (RPD)

2143 Biological Fish

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Redox potential (or Eh) should be measured as soon as possible after sample collection due to theunstable nature of this parameter. Redox potential may be measured using a platinum electrode andcombination pH/millivolt meter. The electrode is inserted directly into the sediment sample to a depth ofapproximately 2 centimeters. Record the measurement after the reading has stabilized.The redox electrode should be calibrated prior to use with a solution of potassium ferrocyanide andpotassium ferricyanide. Manufacturer’s directions for preparation of the calibration solution are includedwith the electrode. This solution is poisonous and should be labeled, stored and handled accordingly.Most electrodes should calibrate to a value near +192 millivolts using this calibration solution.

Status & Trend or Effectiveness

Reduction in variability of traits, shift in mean value of trait, loss of traits.(fecundity, size)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING: habitat refugia exist and are adequately buffered (e.g., by intact riparian reserves); existing refugia are sufficient in size, number and connectivity to maintain viable populations or sub-populations1 AT RISK habitat refugia exist but are not adequately buffered (e.g., by intact riparian reserves); existing refugia are insufficient in size, number and connectivity to maintain viable populations or sub-populations1 NOT PROPERLY FUNCTIONING adequate habitat refugia do not exist1

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Relative Percent Difference (RPD), Conductivity

Status & Trend or Effectiveness

Relative reproductive success

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2144 Biological Fish

2145 Biological Fish Group making progress but no official metrics agreed upon at this time.

2146 Biological Fish Release # Number of fish released

2147 Biological Fish

2148 Biological Fish Number of fish that die after release.

2149 Biological Fish Percent of fish that die after release.

2150 Biological Fish Derived measure: determining hatchery:wild proportions, effective population size is modeled.

2151 Biological Fish Group making progress but no official metrics agreed upon at this time.

2152 Research Research See Uncertainty research

2153

2154 Physical Reservoir Elevation

2155 other other Reservoir Name name of reservoir or nearest landmark

2156 Physical Watershed

2157 Physical Watershed

Status & Trend or Effectiveness

Relative Reproductive Success (Parentage)

Derived measure: the relative production of offspring by a particular genotype. Parentage analyses using multilocus genotypes are used to assess reproductive success, mating patterns, kinship, and fitness in natural populations and are gaining widespread use with the development of highly polymorphic molecular markers

Status & Trend or Effectiveness

Relative Reproductive Success (Parentage)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Release (raw data; tagged fish)

Status & Trend or Effectiveness

Release Mortality Number

Status & Trend or Effectiveness

Release Mortality Percentage

Status & Trend or Effectiveness

Reproductive Success (Nb/N)

Status & Trend or Effectiveness

Reproductive Success (Nb/N)

General Attribute

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Research, monitoring, and evaluation projects

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Watershed Condition

Residential_Bridge/Culverts

Status & Trend or Effectiveness

Watershed Condition

Residential_Bridge/Culverts

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2158 Physical Watershed

2159 Physical Watershed

2160 Physical Watershed

2161 Physical Watershed

2162 Physical Watershed Residential_Dumping

2163 Physical Watershed Residential_Dumping

2164 Physical Watershed Residential_Dumping

2165 Physical Watershed

2166 Physical Watershed

2167 Physical Watershed

Status & Trend or Effectiveness

Watershed Condition

Residential_Bridge/Culverts

Status & Trend or Effectiveness

Watershed Condition

Residential_Construction

Status & Trend or Effectiveness

Watershed Condition

Residential_Construction

Status & Trend or Effectiveness

Watershed Condition

Residential_Construction

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Status & Trend or Effectiveness

Watershed Condition

Residential_MaintainedLawns

Status & Trend or Effectiveness

Watershed Condition

Residential_MaintainedLawns

Status & Trend or Effectiveness

Watershed Condition

Residential_MaintainedLawns

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2168 Physical Watershed

2169 Physical Watershed

2170 Physical Watershed

2171 Physical Watershed

2172 Physical Watershed

2173 Physical Watershed

2174 Physical Watershed

2175 Physical Watershed

Status & Trend or Effectiveness

Watershed Condition

Residential_Pipes/Drains

Status & Trend or Effectiveness

Watershed Condition

Residential_Pipes/Drains

Status & Trend or Effectiveness

Watershed Condition

Residential_Pipes/Drains

Status & Trend or Effectiveness

Watershed Condition

Residential_Residence

Status & Trend or Effectiveness

Watershed Condition

Residential_Residence

Status & Trend or Effectiveness

Watershed Condition

Residential_Residence

Status & Trend or Effectiveness

Watershed Condition

Residential_SewageTreatment

Status & Trend or Effectiveness

Watershed Condition

Residential_SewageTreatment

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2176 Physical Watershed

2177 Physical Residual pool depth

2178 Attribute Responsible Parties: The entity primarily responsible for completing the action or project

2179

Status & Trend or Effectiveness

Watershed Condition

Residential_SewageTreatment

Status & Trend or Effectiveness

Habitat Quality & Quantity

Implementation Monitoring

General Attribute

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Restoration: Tide gate removal

Restores partial or full hydrologic connection to slough habitat improving water quality, access to lost habitat types and processes, and potential removal of invasive plant species.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2180

2181

2182 Restores elevation of site to level that will support appropriate wetland vegetation.

2183 Biological Fish Return spawner gender

2184 Biological Fish Return spawner length

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Restoration:Culvert upgrades/culvert installation

Provides similar benefits to above restoration activities through the improvement of water quality, access to lost habitat types and processes, and potential removal of invasive species.

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Restoration:Dike breaching

Provides similar benefits as tide gate removal, this application requires significant earth moving activities to allow tidal energy to influence historic slough signatures and can involve tidal channel excavation

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Restoration:Elevation adjustment

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2185 Biological Fish Return spawner scales

2186 Physical

2187 Physical Riffle stability index

2188 Quality Control Field Quality Control Rinsate (Equipment) Blank

2189 Physical

2190 Physical

2191 Physical Riparian Area area of each riparian area

2192 Physical

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Returns/spawner, lambda, temporal trends

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

A rinsate blank is a sample of analyte-free water that has been used to rinse sampling equipment afterprescribed decontamination. The analyte-free water is supplied by the laboratory. The rinsate blank maybe analyzed for any or all of the analytes for which the samples are being analyzed. Analysis of therinsate blank is used to measure and document the effectiveness of field decontamination of samplingequipment and possible carry-over of contamination to samples collected after the rinsate blank.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian & Wetland Vegetation

Acreage/miles of stream with vegetative cover in one of the following categories: hardwood, softwood, hardwood/ softwood mix, shrub, grassland, shrub/grass- land mix, row crops, pasture, impervious area, bare ground

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian & Wetland Vegetation

Area, distribution, and types of riparian and wetland vegetation ( Acreage/miles of stream with vegetative cover in one of the following categories: hardwood, softwood, hardwood/ softwood mix, shrub, grassland, shrub/grass- land mix, row crops, pasture, impervious area, bare ground)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian characteristics are from LANDSAT remote sensing data.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2193 Physical Riparian condition

2194 Physical Riparian Function

2195 Miles of riparian streambank treated

2196 Physical Riparian Reserves

2197 Physical Riparian Road Index riparian roads total/stream total

2198 Physical Riparian veg. Primary vegetation type

2199 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Measures of streamside vegetation and land-use characteristics. Species, size, cover, and distribution; land use categories; and cover over the stream are measured. An index for riparian condition still needs to be developed or agreed on. EPA’s EMAP has developed a riparian disturbance index that incorporates these variables. We may also consider using site capability as described by the Oregon Department of Agriculture (ODA) and used in collaboration with some total maximum daily loads (TMDLs). Functional aspects that vary by ecosystem (e.g., meadow, shrub, forest) and goals may also be incorporated. The precision, accuracy, andresponsiveness of these alternatives need to be evaluated. (Change in area, distribution, and type of riparian vegetation.)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian function index based on vegetation and site capability (e.g., large wood recruitment, shade, and nutrient input) and wetland function index based on hydrogeomorphic (HGM) typing

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Riparian habitat projects

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING: the riparian reserve system provides adequate shade, large woody debris recruitment, and habitat protection and connectivity in all subwatersheds, and buffers or includes known refugia for sensitive aquatic species (>80% intact), and/or for grazing impacts: percent similarity of riparian vegetation to the potential natural community/composition >50%12 AT RISK moderate loss of connectivity or function (shade, LWD recruitment, etc.) of riparian reserve system, or incomplete protection of habitats and refugia for sensitive aquatic species (≈70-80% intact), and/or for grazing impacts: percent similarity of riparian vegetation to the potential natural community/composition 25-50% or better12 NOT PROPERLY FUNCTIONING riparian reserve system is fragmented, poorly connected, or provides inadequate protection of habitats and refugia for sensitive aquatic species (<70% intact), and/or for grazing impacts: percent similarity of riparian vegetation to the potential natural community/composition <25%12

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian vegetation structure

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2200 Physical

2201 Physical

2202 Physical

2203 Physical

2204 Physical

2205 Physical

2206 Physical

2207 Physical

2208 Physical

2209 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2210 Physical

2211 Physical

2212 Physical

2213 Physical

2214 Physical

2215 Physical

2216 Physical

2217 Physical

2218 Physical

2219 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2220 Physical

2221 Physical

2222 Physical

2223 Physical

2224 Physical

2225 Physical

2226 Physical

2227 Physical

2228 Physical

2229 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2230 Physical

2231 Physical

2232 Physical

2233 Physical

2234 Physical

2235 Physical

2236 Physical

2237 Physical

2238 Physical

2239 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2240 Physical

2241 Physical

2242 Physical shrub types appearing in imagery

2243 Project Type Riparian:

2244 Project Type Riparian:

2245 Project Type

2246 Project Type

2247 Project Type Riparian: Fencing

2248 Project Type Riparian: Fencing

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation Zone Width Right Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Riparian Vegetation: Shrub Classifications

Effectiveness Monitoring

Project Tracking

Projects that change areas (above the ordinary high water mark of the stream and within the flood plain of streams) in order to improve the environmental conditions necessary to sustain Salmonids throughout their life cycle.

Implementation Monitoring

Project Tracking

Projects that change areas (above the ordinary high water mark of the stream and within the flood plain of streams) in order to improve the environmental conditions necessary to sustain Salmonids throughout their life cycle.

Effectiveness Monitoring

Project Tracking

Riparian: Conservation Grazing Management

Alteration of agricultural land use practices to reducing grazing pressure for conservation. E.g. Rotate livestock grazing to minimize impact on riparian areasTotal riparian acres proposed and actually treated to nearest whole acre. Examples of treatment include riparian plantings, or protection of riparian zone with a fence.

Implementation Monitoring

Project Tracking

Riparian: Conservation Grazing Management

Alteration of agricultural land use practices to reducing grazing pressure for conservation. E.g. Rotate livestock grazing to minimize impact on riparian areasTotal riparian acres proposed and actually treated to nearest whole acre. Examples of treatment include riparian plantings, or protection of riparian zone with a fence.

Effectiveness Monitoring

Project Tracking

Creation of livestock exclusion or other riparian fencing. This refers to meander miles of stream bank proposed for treatment and treated. Report the actual length of proposed treatment, adding lengths of treatment on both sides if treatment was on both sides. (miles to .01 miles)

Implementation Monitoring

Project Tracking

Creation of livestock exclusion or other riparian fencing. This refers to meander miles of stream bank proposed for treatment and treated. Report the actual length of proposed treatment, adding lengths of treatment on both sides if treatment was on both sides. (miles to .01 miles)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2249 Project Type

2250 Project Type

2251 Project Type

2252 Project Type

2253 Project Type

2254 Project Type

2255 Project Type Riparian: Planting

2256 Project Type Riparian: Planting

Effectiveness Monitoring

Project Tracking

Riparian: Forestry Practices/Stand Management

Prescribed burnings, stand thinnings, stand conversions, silviculture, vegetation management.Total acres proposed and actually treated to nearest whole acre. Examples of treatment include riparian plantings, or protection of riparian zone with a fence.

Implementation Monitoring

Project Tracking

Riparian: Forestry Practices/Stand Management

Prescribed burnings, stand thinnings, stand conversions, silviculture, vegetation management.Total acres proposed and actually treated to nearest whole acre. Examples of treatment include riparian plantings, or protection of riparian zone with a fence.

Effectiveness Monitoring

Project Tracking

Riparian: Livestock Exclusion

Remove livestock from riparian areas.Total riparian acres proposed and actually treated to nearest whole acre. Examples of treatment include riparian plantings, or protection

Implementation Monitoring

Project Tracking

Riparian: Livestock Exclusion

Remove livestock from riparian areas.Total riparian acres proposed and actually treated to nearest whole acre. Examples of treatment include riparian plantings, or protection

Effectiveness Monitoring

Project Tracking

Riparian: Livestock Water Development

Provision of water supply for livestock that is out of the riparian zone. Also called livestock water development or livestock water supply.

Implementation Monitoring

Project Tracking

Riparian: Livestock Water Development

Provision of water supply for livestock that is out of the riparian zone. Also called livestock water development or livestock water supply.

Effectiveness Monitoring

Project Tracking

Riparian planting, native plant establishment

Species Planted (Latin name);Total riparian acres proposed and actually treated to nearest whole acre. Examples of treatment include riparian plantings, or protection of riparian zone with a fence

Implementation Monitoring

Project Tracking

Riparian planting, native plant establishment

Species Planted (Latin name);Total riparian acres proposed and actually treated to nearest whole acre. Examples of treatment include riparian plantings, or protection of riparian zone with a fence

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2257 Project Type Provision of a fenced livestock stream crossing. # of installations, may be more than 1 per project

2258 Project Type Provision of a fenced livestock stream crossing. # of installations, may be more than 1 per project

2259 Project Type Riparian: Weed Control

2260 Project Type Riparian: Weed Control

2261 Physical Riparian-road index

2262 Physical is there an apron attached to end of culvert?

2263 Physical max height of culvert

2264 Physical length of culvert

2265 Physical material of culvert- PCC, CPC, CST, SST, CAL, SPS, SPA, PVC, TMB, MRY,

2266 Physical max width of culvert

2267 Physical Road Crossings

2268 Physical Road Density total road length/total area of watershed

Effectiveness Monitoring

Project Tracking

Riparian: Water Gap Development

Implementation Monitoring

Project Tracking

Riparian: Water Gap Development

Effectiveness Monitoring

Project Tracking

Removal and/or control of non-native species and noxious weeds.Invasive species (latin name); the total riparian acres proposed and actually treated to nearest whole acre. Examples of treatment include riparian plantings, or protection of riparian zone with a fence.

Implementation Monitoring

Project Tracking

Removal and/or control of non-native species and noxious weeds.Invasive species (latin name); the total riparian acres proposed and actually treated to nearest whole acre. Examples of treatment include riparian plantings, or protection of riparian zone with a fence.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Road Crossing: Culvert Apron

Status & Trend or Effectiveness

Environmental Condition

Road Crossing: Culvert Height

Status & Trend or Effectiveness

Environmental Condition

Road Crossing: Culvert Length

Status & Trend or Effectiveness

Environmental Condition

Road Crossing: Culvert Material

Status & Trend or Effectiveness

Environmental Condition

Road Crossing: Culvert Span/Diameter

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2269 Physical Road Density & location

2270 Physical Road Rail Road No Data Definition Exists

2271 Physical RoadRailroad

2272 Physical RoadRailroad

2273 Physical RoadRailroad

2274 Physical RoadRailroad

2275 Physical 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

2276 Physical Roads/Riparian Area total kilometers of roads within riparian areas

2277 Physical rocky habitat

2278 Physical Row crops No Data Definition Exists

2279 Physical Row Crops, Disturbance See: Disturbance, Row Crops

2280 Physical RowCrops

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING: <2 mi/mi² 11, no valley bottom roads AT RISK 2-3 mi/mi², some valley bottom roads NOT PROPERLY FUNCTIONING >3 mi/mi² many valley bottom roads

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Roads/Railroads, Disturbance

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2281 Physical RowCrops

2282 Physical RowCrops

2283 Physical RowCrops

2284 Physical RowCrops

2285 Biological Fish Run Prediction

2286 Biological Fish Run Prediction This will not be in the raw or summarized performance database.

2287 Biological Fish Run Size Number of Spawners returning to spawning ground for a stock.

2288 Biological Fish Run Size See: Abundance Total Run Size

2289 Biological Fish Run Timing Time (Julian date) of arrival at specified location.

2290 Biological Fish Run Timing

2291 Biological Fish Run Timing (adults)

2292 Biological Fish Run Timing (Juveniles)

2293 Biological Fish Life History Diversity

2294 Biological Fish Run Timing (mean) •Mean Julian date for a given age class

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Derived measure. Short-term forecast of expected future adult returns to some point (e.g., mouth of Columbia, or Snake River) based on current data (e.g., # smolts out, prior years adult returns, etc.).

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Run timing (mean & range)

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2295 Biological Fish Seasonal catch rates

2296 Biological Fish Run Timing, Mean

2297 Biological Fish Run Timing, Mean

2298 Biological Fish Run Timing, Mean

2299 Biological Fish Seasonal trap catch rates, individual fish subsampling at traps

2300 Species Run Type: The name of the salmonid population impacted by the actions:

2301 Physical water quality Salinity

2302 Physical Salinity

2303 Physical Water Quality Salinity

2304 Biological Fish salmon

2305 Biological Fish Salmon technical team

Status & Trend or Effectiveness

Run timing or seasonal abundance

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Not defined, Notes: The time thata run enters a specific body of water. Mean time that run is harvested entering body of water. Mean run time may expand beyond harvest period if goals met early.

Status & Trend or Effectiveness

Run timing, size/age distribution

Implementation Monitoring

General Attribute

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Salinity may be measured in the field with a salinometer. The meter should be calibrated prior to useaccording to manufacturer’s directions using a standard of known salinity (in parts per thousand). Thesalinity of the standard should be close to the expected salinity of the sampling site. When measuring asample for salinity, the sample should be swirled or stirred until the meter stabilizes and a measurementis recorded. Salinity may also be calculated from the measured conductivity and temperature of asample. The conductivity is measured with a conductivity meter that has been calibrated according tomanufacturer’s directions to known conductivity standards (in umhos/cm or uS/s). Salinity is calculatedfrom the conductivity and temperature according to Standard Method 2520B (APHA, 1985). Grosssalinity measurements may also be taken with a field-portable refractometer. This instrument willprovide salinity measurements with an accuracy of 1 to 2 parts per thousand.

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2306 biological fish Salmonid Diversity

2307 Physical Water Quality Sample Conductivity See: Conductivity, Sample Conductivity

2308 Other Other Sample Date Sample collection date

2309 Physical Water Quality Sample Frequency frequency of samples taken- based on goal want to achieve

2310 Physical Water Quality Sample ID Unique Sample ID

2311 Physical Sample Location location of sample - get from topo maps, gps unit

2312 Physical Sample Reach Length Total length of sample reach - 40 times the channel width average

2313 Quality Control Sample Handeling Sample Shipment

2314 Physical Sample Type sample described as reach-wide benthos, or targeted riffle sample

2315 Biological Fish Sample Type

2316 Biological Fish Sample Type

2317 Biological Fish Sample Type

2318 Physical Water Quality Sample Volume Volume of composite sample

Status & Trend or Effectiveness

Number of salmon stocks spawning upstream of site in the stream system on which the site is located (main stem or tributary), including areas of historic use.

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

All samples should be shipped or delivered to the analytical laboratory immediately after completion ofsampling. This minimizes the number of people handling samples and protects sample quality andsecurity. The following guidelines apply to water and sediment samples. Shipping protocols for tissuesamples will most likely be project specific and should be stated in the project planning document. Assamples are prepared for shipping, the following guidelines should be observed. (See paper for more details.)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2319 Other Other Sampleable Yes-- is site suitable for sampling

2320 Physical

2321 Physical

2322 Physical

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Cleaning Methods for Field Equipment and Sample Containers

Estuarine, Nearshore & Marine Habitat

Sampleing Equipment: Field Decontamination of Sampling Equipment

A tiered approach may be taken to equipment decontamination for sediment sampling when the expectedlevel of contamination is known in advance.•. If the sediment represents ambient conditions, decontamination may consist of merely scrubbing thesampling equipment to remove residual sediment followed by a thorough rinsing with in situ water.•. If the sediment is slightly contaminated, decontamination may consist of scrubbing with a water andphosphate-free detergent mixture, followed by rinses with in situ water and analyte-free water.•. If the sediment is heavily contaminated, decontamination may consist of scrubbing with a water andphosphate-free detergent mixture, a rinse with in situ water, rinses with solvents and/or acids, and afinal rinse with analyte-free water.Another option would be to have additional sets of precleaned sampling utensils on board so that a freshset could be used at each new sampling station. Advantages are that decontamination could be conductedunder more controllable conditions on shore, cleaning time would be minimized between stations andthere would be little onboard need for solvents and/or acids.Field decontamination of water sampling bottles should consist of thoroughly rinsing the bottle analytefreewater followed by a thorough in situ rinsing

Status & Trend or Effectiveness

Cleaning Methods for Field Equipment and Sample Containers

Estuarine, Nearshore & Marine Habitat

Sampleing Equipment: Laboratory Decontamination for Conventionals Analysis

For conventionals analysis, sample collection equipment should be cleaned with a phosphate-freedetergent solution, followed by thorough rinses with hot tap water and analyte-free water. If oil andgrease analysis is required, equipment should also be rinsed with acetone or methanol in a well-ventilatedarea. If ammonia and nitrate/nitrite analysis is also required, a sulfuric acid dilution (20 percent H2SO4) isto be used instead. HNO3 is somewhat more effective as a decontaminating agent, but it is known tointerfere with nutrient analyses. The acids used should be of at least reagent-grade purity.

Status & Trend or Effectiveness

Cleaning Methods for Field Equipment and Sample Containers

Estuarine, Nearshore & Marine Habitat

Sampleing Equipment: Laboratory Decontamination for Metals Analysis

Prior to use, sampling and laboratory equipment should be thoroughly cleaned with a phosphate-freedetergent solution, rinsed thoroughly with hot tap water, soaked a minimum of one hour (overnight isrecommended) in 20 percent HNO3, and then rinsed with analyte-free water.If sampling equipment contains metal components, those parts should be cleaned as stated above, but theacid-soak step should be omitted. If both trace organics and metals analyses are to be performed on thesame samples, final rinsing of metal equipment parts with methylene chloride is acceptable.If trace metals analysis is to be conducted on marine water, the water sampling bottles must not containmetal or rubber parts that could potentially contaminate the water sample. The sampling bottles shouldbe cleaned by first filling them with 20 percent HNO3 for at least 24 hours, followed by thorough rinsingwith metal-free water.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2323 Physical

2324 other other Sampling Point assigned sampling point of Left-Center-Right

2325 Biological Fish

2326 Physical Ocean Conditions Oceans Sea surface temperature

2327 Physical Ocean Conditions Oceans Sea Surface Temperature

2328 Biological Birds

Status & Trend or Effectiveness

Cleaning Methods for Field Equipment and Sample Containers

Estuarine, Nearshore & Marine Habitat

Sampleing Equipment: Laboratory Decontamination for Organics Analysis

For trace organics analyses other than volatile compounds, sample collection equipment should becleaned with a phosphate-free detergent solution, followed by thorough rinses with hot tap water andanalyte-free water. Before use, equipment should be rinsed with solvent (e.g., acetone, hexane ormethanol) and air-dried. If samples are to be analyzed for volatile compounds, sampling equipmentshould be oven-dried at 105°C or greater after the wash and water-rinse steps. A solvent rinse should beavoided to eliminate the possibility of analytical interferences. A 20 percent HNO3 soak may be usedinstead of the solvent rinse.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

SARs linked to different smolt passage fates or experiences

Status & Trend or Effectiveness

Status & Trend or Effectiveness

This indicator describes whether sea surface temperature (SST) is above or below average. Using an index, the indicator tracks how much regional average temperatures in any given year deviate from the average for the 14-year period, for waters within 25 miles of the coast. Thus, a “1.1” on the graph means that the SST for that region in that year was 10% warmer than the 14-year average for that region. The indicator defines “average SST” for a region as the average temperature for the warmest season in that region.

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Seasonal bird (species, sex, age) use behavior(breeding, feeding, migration, etc. ) by habitat type (forest, scrub-shrub, emergent, mudflat).

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2329 Physical Secondary ChannelsStatus & Trend or Effectiveness

Habitat Quality & Quantity

A secondary channel is any channel separated directly from the main channel at the upstream end by an island/bar with an elevation above bankfull. Only main and secondary channels will be surveyed.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2330 Physical Toxicology Sediment

2331 Physical Sediment Deposition

2332 Physical Sediment Deposition

2333 Physical Sediment Deposition

2334 Physical Sediment Deposition

2335 Physical Sediment Deposition

2336 Physical Sediment Deposition

2337 Physical Sediment Deposition

2338 Physical Sediment Deposition

2339 Physical Sediment Deposition

2340 Physical Sediment Deposition

2341 Physical Sediment Deposition

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

The main objective of sediment sampling is to obtain a sample that is closely representative of theenvironmental area of interest. Sediment sampling devices may be placed in one of three categories: 1)grabs and snappers, 2) corers, and 3) dredges. While most of these larger units are typically attached anddeployed from a floating platform, small sample aliquots may be collected by hand if there is little or nooverlying water. Sediment material may also be collected while it is still in the process of settling,usually through the use of sediment traps. In some instances, subtidal sampling by divers may bedesirable. Since there are no widely accepted protocols available for diver collected sediment sampling,development of, and adherence to, detailed quality assurance and quality control procedures is essentialfor this type of sampling. If diver collected sediment samples are being collected for regulatorypurposes, the sampling plan should be discussed with the appropriate regulatory agencies before samplesare collected to ensure the proposed protocols are acceptable.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2342 Physical Sediment Deposition

2343 Physical Sediment Deposition

2344 Physical Sediment Deposition

2345 Physical Sediment Deposition

2346 Physical Sediment Deposition

2347 Physical Sediment Deposition

2348 Physical Sediment Deposition

2349 Physical Sediment Deposition

2350 Physical Sediment Deposition

2351 Physical Sediment Deposition

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2352 Physical Sediment Sediment pH

2353 Project Type Sediment Reduction: Projects the diminish sediment transport into streams

2354 Project Type Sediment Reduction: Projects the diminish sediment transport into streams

2355 Project Type

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Sediment pH may be measured by two methods, depending on the type of pH probe that is used. Whenusing either method, it is important to calibrate the pH meter prior to field use. The meter should becalibrated according to manufacturer’s specifications with at least two buffers that will bracket theexpected pH of the sediment samples. If the pH of a sediment sample falls outside the bracket of buffersin the initial calibration, the meter should be recalibrated with the proper buffers.Sediment pH may be measured with a standard combination pH electrode by inserting the electrodedirectly into the sediment sample to a depth of approximately 2 centimeters. The measurement should berecorded after the reading has stabilized. It should be noted that this method can be extremely hard onsensitive combination pH electrodes and care should be taken when inserting the electrode. An alternatemethod is described below.A “soil” pH electrode contains a concentric ceramic junction above the reference contact. Sediment pHmay be measured with this type of electrode as follows. •. Collect approximately 5 grams of sediment from the sample and place the aliquot in a small containersuch as a test tube.•. Add approximately 5 milliliters of distilled water and mix completely.•. Allow the mixture to settle for approximately 15 minutes.•. Insert the pH electrode into the container so that the pH-sensitive bulb is immersed in the opaquesediment suspension and the reference contact remains in the relatively clear supernatent layer.•. Record the measurement after the reading has stabilized.Whichever pH electrode is used, rinse the electrode in distilled water after each use and store it in bufferbetween measurements.

Effectiveness Monitoring

Project Tracking

Implementation Monitoring

Project Tracking

Effectiveness Monitoring

Project Tracking

Sediment Reduction: Erosion Control Structures

Hillside stabilization, grassed waterways wind breaks, planting, conservation land management, and waterbars.# of sediment control installations

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2356 Project Type

2357 Project Type

2358 Project Type

2359 Project Type

2360 Project Type

2361 Project Type

2362 Project Type

2363 Project Type

Implementation Monitoring

Project Tracking

Sediment Reduction: Erosion Control Structures

Hillside stabilization, grassed waterways wind breaks, planting, conservation land management, and waterbars.# of sediment control installations

Effectiveness Monitoring

Project Tracking

Sediment Reduction: Road Relocation

Abandonment of existing road in riparian or streambed area with or without rehabilitation and with a new road constructed in a less sensitive area.Proposed and actual treatments include road(s) decommissioned (closed, obliterated), upgraded, reloc

Implementation Monitoring

Project Tracking

Sediment Reduction: Road Relocation

Abandonment of existing road in riparian or streambed area with or without rehabilitation and with a new road constructed in a less sensitive area.Proposed and actual treatments include road(s) decommissioned (closed, obliterated), upgraded, reloc

Effectiveness Monitoring

Project Tracking

Sediment Reduction: Road Stream Crossing Improvements (=Rocked Ford)

Creation or improvement of a reinforced rock roadbed that crosses the stream without restricting the stream flow. Does not include stream crossing improvements that have a fish passage goal.Proposed and actual treatments include road(s) decommissioned(closed, obliterated), upgraded, relocated or restored. (miles to .01miles)

Implementation Monitoring

Project Tracking

Sediment Reduction: Road Stream Crossing Improvements (=Rocked Ford)

Creation or improvement of a reinforced rock roadbed that crosses the stream without restricting the stream flow. Does not include stream crossing improvements that have a fish passage goal.Proposed and actual treatments include road(s) decommissioned(closed, obliterated), upgraded, relocated or restored. (miles to .01miles)

Effectiveness Monitoring

Project Tracking

Sediment Reduction: Road Drainage System Improvements

Placement of structures to contain/ control run-off from roads. Includes surface drainage, peak flow drainage improvements and roadside vegetationProposed and actual treatments include road(s) decommissioned (closed, obliterated), upgraded, relocated or restored. (miles to .01 miles)

Implementation Monitoring

Project Tracking

Sediment Reduction: Road Drainage System Improvements

Placement of structures to contain/ control run-off from roads. Includes surface drainage, peak flow drainage improvements and roadside vegetationProposed and actual treatments include road(s) decommissioned (closed, obliterated), upgraded, relocated or restored. (miles to .01 miles)

Effectiveness Monitoring

Project Tracking

Sediment Reduction: Road Obliteration

Road closed with or without rehabilitation. Not a road relocation. Proposed and actual treatments include road(s) decommissioned(closed, obliterated), upgraded, relocated or restored. (miles to .01miles)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2364 Project Type

2365 Project Type

2366 Project Type

2367 Project Type

2368 Project Type

2369 Project Type sediment basins, sediment ponds and sediment traps. # of sediment control installations

2370 Project Type sediment basins, sediment ponds and sediment traps. # of sediment control installations

Implementation Monitoring

Project Tracking

Sediment Reduction: Road Obliteration

Road closed with or without rehabilitation. Not a road relocation. Proposed and actual treatments include road(s) decommissioned(closed, obliterated), upgraded, relocated or restored. (miles to .01miles)

Effectiveness Monitoring

Project Tracking

Sediment Reduction: Road Reconstruction

Reconstruction and restoration of road in place (not a road relocation) and for a restoration purpose (eg. road is crumbling into stream and needs to be reinforced). Road reconstruction does not include drainage improvement projects.Proposed and actual treatments include road(s) decommissioned (closed, obliterated), upgraded, relocated or restored. (miles to .01 miles)

Implementation Monitoring

Project Tracking

Sediment Reduction: Road Reconstruction

Reconstruction and restoration of road in place (not a road relocation) and for a restoration purpose (eg. road is crumbling into stream and needs to be reinforced). Road reconstruction does not include drainage improvement projects.Proposed and actual treatments include road(s) decommissioned (closed, obliterated), upgraded, relocated or restored. (miles to .01 miles)

Effectiveness Monitoring

Project Tracking

Sediment Reduction: Road Relocation

Abandonment of existing road in riparian or streambed area with or without rehabilitation and with a new road constructed in a less sensitive area.Proposed and actual treatments include road(s) decommissioned (closed, obliterated), upgraded, relocated or restored. (miles to .01 miles)

Implementation Monitoring

Project Tracking

Sediment Reduction: Road Relocation

Abandonment of existing road in riparian or streambed area with or without rehabilitation and with a new road constructed in a less sensitive area.Proposed and actual treatments include road(s) decommissioned (closed, obliterated), upgraded, relocated or restored. (miles to .01 miles)

Effectiveness Monitoring

Project Tracking

Sediment Reduction: Sediment Control

Implementation Monitoring

Project Tracking

Sediment Reduction: Sediment Control

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2371 Project Type

2372 Project Type

2373 Physical Sediment Sedimentation,

2374 Physical

2375 Physical

2376 Physical Segment Survey transects are divided into survey segments

2377 Physical Toxicology

2378 Biological Fish

2379 Biological Fish Sex Sex ratio of broodstock collected randomly over the run (from Objective

2380 Biological Fish Sex Ratio Sex ratio of broodstock collected randomly over the run

Effectiveness Monitoring

Project Tracking

Sediment Reduction: Upland Erosion Control (sediment control basins, windbreaks, planting, conservation land management)

Implementation Monitoring

Project Tracking

Sediment Reduction: Upland Erosion Control (sediment control basins, windbreaks, planting, conservation land management)

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

See “Connectivity”, “Habitat” and “Fish” above

Status & Trend or Effectiveness

Habitat Quality & Quantity

See “Connectivity”, “Habitat” and “Fish” above

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Selected Contaminants in Fish and Shellfish

This indicator measures the concentration of PCBs, mercury, and DDT in the edible tissue of seafood from U.S. coastal waters. For comparison, the graphs would also include information on the levels at which the Environmental Protection Agency (EPA) and Food and Drug Administration (FDA) recommend that action (such as consumption advisories) be taken.

Status & Trend or Effectiveness

Separation by code (raw data; fish diversion)

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2381 Biological Fish Sex Ratio males / females

2382 Biological Fish Sex ratio

2383 Biological Other Sex ratio (Cancer spp.)

2384 Biological Birds shorebirds

2385 Physical

2386 Physical Shoreline Types

2387 Physical

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Shoreline modification trends

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

This indicator reports the miles of coastline in several categories, including beach; mud or sand flats; steep sand, rock, or clay cliffs; wetlands; and coastline “armored” with bulkhead or riprap. The coastline includes ocean-front areas and the shoreline of estuaries and bays. Whether a shoreline is, for example, beach, mudflat, or bulkhead determines how people and wildlife will use that shoreline. Armoring is usually intended to stabilize a beach or shoreline in an attempt to reduce erosion and property loss from storms, coastal flooding, and other processes (see Coastal Erosion).

Status & Trend or Effectiveness

Habitat Quality & Quantity

Shoreline/littoral condition

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2388 Side Channels

A side channel is any channel separated directly from the main channel by an island with an elevation above bankfull. All transects (both intermediate and major) that are effected by a side channel will be marked with an additional blue flag that is labeled with the channel number (in case of overlapping multiple channels). Both the inlet and outlet of each qualifying channel will be flagged as well.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2389 Other Other Signs Verification Yes if site location is verified by signs

2390 Physical Sinuosity

2391 Site

2392 Other Other Site ID unique site id value given to research site

2393 Location Location Location Site Latitude Index Site latitude in decimal degrees

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

General Attribute

a specific geographic location (e.g., subbasin, watershed, reach) for which monitoring data will be collected using one or more specified (approved?) methods.

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2394 Site Layout

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2395 Location Location Location Site Longitude Index Site longitude in decimal degrees

2396 Biological Fish Size Post-orbital to hypural (POH) and fork length (mm) of carcasses encountered during spawning ground surveys

2397 Biological Fish Size POH and fork length (mm) of fish handled at broodstock collection sites

2398 Biological Fish Size reported as fork length (anterior tip to median caudal fin) and hypural length (mid-eye to hypural plate)

2399 Biological Fish Size

2400 Biological Fish Size

2401 Biological Fish Size

2402 Biological Fish Size

2403 Biological Fish Size

2404 Biological Fish Size

2405 Biological Fish Size

2406 Biological Fish Size

2407 Biological Fish Size

2408 Biological Fish Size

2409 Biological Fish Size

2410 Biological Fish Size

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Page 261: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2411 Biological Fish Size

2412 Biological Fish Size

2413 Biological Fish Size

2414 Biological Fish Size

2415 Biological Fish Size

2416 Biological Fish Size

2417 Biological Fish Size

2418 Biological Fish Size

2419 Biological Fish Size

2420 Biological Fish Size

2421 Biological Fish Size

2422 Biological Fish Size

2423 Biological Fish Size

2424 Biological Fish Size

2425 Biological Fish Size

2426 Biological Fish Size

2427 Biological Fish Size

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Page 262: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2428 Biological Fish Size

2429 Biological Fish Size

2430 Biological Fish Size

2431 Biological Fish Size

2432 Biological Fish Size

2433 Biological Fish Size

2434 Biological Fish Size

2435 Biological Fish Size

2436 Biological Fish Size

2437 Biological Fish Size

2438 Biological Fish Size

2439 Biological Fish Size

2440 Biological Fish Size

2441 Biological Fish Size

2442 Biological Fish Size

2443 Biological Fish Size

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Page 263: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2444 Biological Fish Size

2445 Biological Fish Size

2446 Biological Fish Size

2447 Biological Fish Size

2448 Biological Fish Size

2449 Biological Fish Size

2450 Biological Fish Size

2451 Biological Fish Size

2452 Biological Fish Size

2453 Biological Fish Size

2454 Biological Fish Size

2455 Biological Fish Size

2456 Biological Fish Size

2457 Biological Fish Size

2458 Biological Fish Size

2459 Biological Fish Size

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Page 264: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2460 Biological Fish Size at Maturity Size (length), age, and gender of hatchery and naturally produced salmon carcasses collected on spawning grounds.

2461 Physical Size Class Code use provided codes for Embeddedness

2462 Biological Fish Size of Redds Count of redds by size class

2463 Physical Size of site Size in hectares or acres. You may choose to omit sites under 1 ha (2.5 A) in size.

2464 Biological Fish

2465 Biological Fish Size, average Average size (POH and fork length) per age class (ages from Objective 2).

2466 Biological Fish Size, Broodstock POH and fork length (mm) of fish collected for broodstock

2467 Biological Fish Size, parr estimated size of fish

2468 Biological Fish Size, Smoltz fork length

2469 Biological Fish Size-at-Emigration

2470 Biological Fish Size-at-Emigration

2471 Biological Fish Size-at-Release Raw measure

2472 Biological Fish Size-at-Release

2473 Biological Fish Size-at-Return

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Size related mortality of juveniles & Kelt Out migrants

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Raw measure (primary): Size distribution (length, weight) of emigrants (e.g., proportion of emigrants at fry, parr, presmolt, and smolt stages) from tributaries determined from rotary screw trap or weir collection.

Status & Trend or Effectiveness

Fork length (mm) and weight (g) are representatively collected weekly from natural juveniles captured in emigration traps. Mean fork length and variance for all samples within a lifestage-specific emigration period are generated (mean length by week then averaged by lifestage). For entire juvenile abundance leaving a weighted mean (by lifestage) is calculated. Size-at-emigration for hatchery production is generated from pre release sampling of juveniles at the hatchery.

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Mean fork length measured in millimeters and mean weight measured in grams of a hatchery release group. Measured during prerelease sampling. Sample size determined by individual facility and M&E staff

Status & Trend or Effectiveness

Raw measure (primary): Size distribution of spawners on spawning ground determined from length or scale analysis from carcass surveys.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2474 Biological Fish Size-at-Return

2475 Physical SizeClassCode

2476 Physical SizeClassCode

2477 Physical SizeClassCode

2478 Physical SizeClassCode

2479 Physical SizeClassCode

2480 Physical SizeClassCode

2481 Physical SizeClassCode

2482 Physical SizeClassCode

2483 Physical SizeClassCode

2484 Physical SizeClassCode

2485 Physical SizeClassCode

2486 Physical SizeClassCode

2487 Physical SizeClassCode

2488 Physical SizeClassCode

Status & Trend or Effectiveness

Size distribution of spawners using fork length and mid-eye hypural length. Raw database measure only. NOT CONSISTENT WITH HATCHERY TEAM APPROACH

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Page 266: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2489 Physical SizeClassCode

2490 Physical SizeClassCode

2491 Physical SizeClassCode

2492 Physical SizeClassCode

2493 Physical Slope slope of valleys %

2494 Physical Slope and bearing slope of valleys

2495 Physical Slope, Culvert slope of culvert

2496 Physical Small Trees 0 = Absent, 1 = Sparse, 2 = Moderate, 3 = Heavy, 4 = Very Heavy

2497 Biological Fish Smolt abundance

2498 Biological Fish

2499 Biological Fish Smolt distribution

2500 Biological Fish Smolt Equivalents

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

smolt abundance: total number of migrants,

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Derived measure. Requires estimating number of smolts to some point in time. For example, converting the number of smolts from a tributary to the number of smolt equivalents at the first mainstem dam. An estimated tributary-to-dam survival rate is multiplied by the estimated smolt abundance for a tributary. Parr abundance can also be expressed in terms of smolt equivalents. This requires an estimated parrto-smolt-at-dam survival rate, which is multiplied by the estimated number of parr. This latter survival rate includes both overwinter survival and tributary-to-dam survival components.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2501 Biological Fish Smolt Equivalents

2502 Biological Fish Smolt health

2503 Biological Fish Smolt passage timing

2504 Biological Fish Smolt Size Length (mm) and weights (g) of random samples of hatchery smolts

2505 Biological Fish Smolt size

2506 Biological Fish Smolt Size CV ?

2507 Biological Fish Smolt Size Mean ?

2508 Biological Fish

2509 Biological Fish Smolt to adult survival

2510 Biological Fish Juvenile Spawners replacement productivity

2511 Biological Fish smolts, Number of # of smolts per population or subpopulation

2512 Biological Fish Smolts/adult

2513 Biological Fish Smolts/female

2514 Biological Fish Smolts/redd

Status & Trend or Effectiveness

Smolt equivalents estimates, which result from juvenile emigrant trapping and PIT tagging, are derived by estimating the proportion of the total juvenile abundance estimate at the tributary comprised of each juvenile life stage (parr, presmolt, smolt) that survive to LGD. It is calculated by multiplying the life stage specific abundance estimate (with standard error) by the life stage specific survival estimate to LGD (with standard error). The standard error around the smolt equivalent estimate is calculated using the following formula; where X = life stage specific juvenile abundance estimate and Y = life stage specific juvenile survival estimate: Var( xy ) = E(X)2* Var (Y) + E(Y)2 * Var(X) + Var(X) * Var (Y)

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Smolt to adult return rate (SAR)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Smolts per spawner (averages)

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2515 Biological Fish Smolts-per-spawner

2516 Biological Fish

2517 Biological Fish

2518 Biological Fish

2519 Biological Fish

2520 Biological Fish

2521 Biological Fish Numbers of smolts released from the hatchery

2522 Physical Snowpack Average levels in meters

2523 Physical Hydrology Snowpack Average levels in meters.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Smolt-to-Adult Return Rate

Raw measure (secondary): Number of adults from a given brood year returning to a point (e.g., LGR dam) divided by the number of smolts that left this point 1-3 years prior, integrated over all return years.

Status & Trend or Effectiveness

Smolt-to-Adult Return Rate

The number of adult returns from a given brood year returning to a point (stream mouth, weir) divided by the number of smolts that left this point 1-5 years prior. Calculated for wild and hatchery origin conventional and captive brood fish separately. Adult data applied in two ways: 1) SAR estimate to stream using Population estimate to stream, 2) adult PIT tag SAR estimate to escapement monitoring site (weirs, LGR), and 3) SAR estimate with harvest. Accounts for all harvest below stream. Smolt-to-adult return rates are generated for four performance periods; tributary to tributary, tributary to LGD, LGD to LGD, and LGD to tributary. LGD to LGD SAR estimates are calculated by dividing the number of PIT tagged adults returning to LGD by the estimated number of PIT tagged juveniles at LGD. Variances around the point estimates are calculated as described above. Tributary to tributary SAR estimates for natural and hatchery origin fish are calculated using PIT tag technology as well as direct counts of fish returning to the drainage. PIT tag SAR estimates are calculated by dividing the number of PIT tag adults returning to the tributary (by life stage and origin type) by the number of PIT tagged juvenile fish migrating from the tributary (by life stage and origin type). Overall PIT tag SAR estimates for natural fish are then calculated by averaging the individual life stage specific SAR’s. Direct counts are calculated by dividing the estimated number of natural and hatchery-origin adults returning to the tributary (by length break-out for natural fish) by the estimated number of natural-origin fish and the known number of hatchery-origin fish leaving the tributary.

Status & Trend or Effectiveness

Smolt-to-Adult Return Rate

Tributary to LGD SAR estimates are calculated by dividing the number of PIT tagged adults returning to LGD by the number of PIT tagged juveniles tagged in the tributary. There is no associated variance around this estimate. The adult detection probabilities at LGD are near 100 percent.

Status & Trend or Effectiveness

Smolt-to-Adult Return Rate

LGD to tributary SAR estimates are calculated by dividing the number of PIT tagged adults returning to the tributary by the estimated number of PIT tagged juveniles at LGD. The estimated number of PIT tagged juveniles at LGD is calculated by multiplying lifestage specific survival estimates (with standard errors) by the number of juveniles PIT tagged in the tributary. The variance for the estimated number of PIT tagged juveniles at LGD is calculated as follows, where X = the number of PIT tagged fish in the tributary and Y = the variance of the lifestage specific survival estimate:

Status & Trend or Effectiveness

Smolt-to-Adult Return Rate

The variance around the SAR estimate is calculated as follows, where X = the number of adult PIT tagged fish returning to the tributary and Y = the estimated number of juvenile PIT tagged fish at LGD:

Status & Trend or Effectiveness

Smoltz, Hatchery Number

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2524 Physical Soil Erosion

2525 Physical Sediment Soil salinity

2526 Physical Soil salinity

2527 Physical sediment Soil survey mapping

2528 Physical Sediment Soils- bulk density

2529 Physical Soils Description description of soils - info obtained from Baileys classification

2530 Physical Soils Description description of soils - info obtained from Omerniks classification

2531 Physical Sediment Soils- nutrients

2532 Physical Sediment Soils- organic matter

2533 Physical Sediment Soils- pH

2534 Physical Sediment Soils- pore water salinity

2535 Physical Sediment Soils- redox potential

2536 Physical Sediment Soils- texture

Status & Trend or Effectiveness

Habitat Quality & Quantity

This indicator reports the percentage of U.S. farmlands according to their potential for erosion by wind or water. These data are based on an index that combines information on soil characteristics, topography, and management activities such as tillage practices and whether crop residue is left on the field or not. This indicator covers croplands (excluding pastures) and Conservation Reserve Program (CRP) lands. In addition, those croplands most prone to wind and water erosion are mapped for 1997.

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2537 Physical Span does dam completely or partially span channel

2538 Biological Other Spatial Distribution where in subbasin do certain species appear

2539 Biological Fish

2540 Biological Fish

2541 Biological Fish

2542 Biological Fish This is derived from the location of Spawning Areas, location of accessible habitat, and spawner distribution

2543 Biological Fish Spawn Timing Raw measure

2544 Biological Fish Spawn timing Timing (Julian date) of salmonid redds

2545 Biological Fish Spawn timing Average Julian date of spawning.

2546 Biological Fish Spawn Timing Spawn date of broodstock spawners by age, sex and origin, Also reported as cumulative timing and median dates

2547 Biological Fish Spawn timing

2548 Biological Fish Spawner Abundance

2549 Biological Fish Spawner Abundance

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Spatial Distribution across major and minor spawning areas

Status & Trend or Effectiveness

Spatial Distribution across major and minor spawning areas

Status & Trend or Effectiveness

Spatial Distribution across major and minor spawning areas

Status & Trend or Effectiveness

Spatial Structure of Spawners

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Derived or Raw measure. Direct count of the number of fish on spawning ground (e.g., weir count) (or expanded estimate from redd counts, carcass recovery)

Status & Trend or Effectiveness

Estimated number of total spawners on the spawning ground. Calculated as the number of fish that return to an adult monitoring site, minus broodstock removals and weir mortalities and harvest if any, subtracts the number of female prespawning mortalities and expanded for redds located below weirs. Calculated in two ways: 1) total spawner abundance, and 2) wild spawner abundance which multiplies by the proportion of natural origin (wild) fish. Calculations include jack salmon.

Page 271: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2550 Biological Fish Spawner Abundance See: Abundance, Spawner

2551 Biological Fish See: Abundance, Spawner (escapement)

2552 Biological Fish Spawner Age Structure Age structure of the spawning population.

2553 Biological Fish Weir/dam counts, mark-recapture, or comprehensive time & area spawner surveys

2554 Biological Fish Spawner Distribution

2555 Biological Fish Spawner Distribution Location of female salmon carcass in RKm (0.01)

2556 Biological Fish Spawner Distribution Location of Salmon Redds

2557 Biological Fish Spawner Distribution

2558 Biological Fish Calculate percent overlap in distribution across available spawning habitat

2559 Biological Fish Index area fish, carcass, or redd peak surveys (ground, aerial or snorkel)

2560 Biological Fish Spawner index surveys (standardized expansions for time & area)

2561 Biological Fish Hatchery origin & age samples for brood year reconstructions

2562 Biological Fish Hatchery origin & age samples for brood year reconstructions

2563 Biological Fish Adult Spawners replacement productivity

2564 Biological Fish Spawner Target An agreed upon escapement that may not be MSY

2565 Biological Fish Spawner/redd estimate Estimate spawners per redd.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Spawner Abundance (Escapement)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Spawner census (total abundance)

Status & Trend or Effectiveness

Location (GPS coordinate) of female salmon carcasses observed on spawning grounds. (The distribution of hatchery and naturally produced steelhead redds may be evaluated if marking or tagging efforts provide reasonable results)

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Spawner Distribution Overlap

Status & Trend or Effectiveness

Spawner index (relative abundance)

Status & Trend or Effectiveness

Spawner no. (estimated abundance)

Status & Trend or Effectiveness

Spawner recruits per spawner

Status & Trend or Effectiveness

Spawner recruits per spawner

Status & Trend or Effectiveness

Spawner recruits per spawner (averages)

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Page 272: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2566 Biological Fish The proportion or percentage of spawners consisting of hatchery stocks

2567 Biological Fish See: Spawner: Hatchery proportion

2568 Biological Fish Spawner-recruit ratios Spawner-recruit ratios

2569 Biological Fish Spawners per mile Spawning and Rearing Habitat: Concentration

2570 Biological Fish Spawners per Redd

2571 Biological Fish Spawning timing

2572 Biological Fish Spawn-timing Raw measure (primary): within major tributaries. Peak, range and 10th-90th percentiles.

2573 Biological Fish Spawn-timing This will be a raw database measure only.

2574 Biological Fish Species species of fish

2575 Physical Riparian Condition Species

2576 Physical Riparian Condition Species

2577 Physical Riparian Condition Species

2578 Physical Riparian Condition Species

2579 Physical Riparian Condition Species

2580 Physical Riparian Condition Species

2581 Physical Riparian Condition Species

Status & Trend or Effectiveness

Spawner: Hatchery proportion

Status & Trend or Effectiveness

Spawner: Hatchery proportion

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Number of spawners divided by the total number of redds. The population estimate of fish released above a weir site minus the number of female prespawning mortalities, divided by the total number of redds located upstream of the weir.

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 273: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2582 Physical Riparian Condition Species

2583 Physical Riparian Condition Species

2584 Physical Riparian Condition Species

2585 Physical Riparian Condition Species

2586 Physical Riparian Condition Species

2587 Physical Riparian Condition Species

2588 Physical Riparian Condition Species

2589 Physical Riparian Condition Species

2590 Physical Riparian Condition Species

2591 Physical Riparian Condition Species

2592 Physical Riparian Condition Species

2593 Physical Riparian Condition Species

2594 Physical Riparian Condition Species

2595 Physical Riparian Condition Species

2596 Physical Riparian Condition Species

2597 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 274: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2598 Physical Riparian Condition Species

2599 Physical Riparian Condition Species

2600 Physical Riparian Condition Species

2601 Physical Riparian Condition Species

2602 Physical Riparian Condition Species

2603 Physical Riparian Condition Species

2604 Physical Riparian Condition Species

2605 Physical Riparian Condition Species

2606 Physical Riparian Condition Species

2607 Physical Riparian Condition Species

2608 Physical Riparian Condition Species

2609 Physical Riparian Condition Species

2610 Physical Riparian Condition Species

2611 Physical Riparian Condition Species

2612 Physical Riparian Condition Species

2613 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2614 Physical Riparian Condition Species

2615 Physical Riparian Condition Species

2616 Physical Riparian Condition Species

2617 Physical Riparian Condition Species

2618 Physical Riparian Condition Species

2619 Physical Riparian Condition Species

2620 Physical Riparian Condition Species

2621 Physical Riparian Condition Species

2622 Physical Riparian Condition Species

2623 Physical Riparian Condition Species

2624 Physical Riparian Condition Species

2625 Physical Riparian Condition Species

2626 Physical Riparian Condition Species

2627 Physical Riparian Condition Species

2628 Physical Riparian Condition Species

2629 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2630 Physical Riparian Condition Species

2631 Physical Riparian Condition Species

2632 Physical Riparian Condition Species

2633 Physical Riparian Condition Species

2634 Physical Riparian Condition Species

2635 Physical Riparian Condition Species

2636 Physical Riparian Condition Species

2637 Physical Riparian Condition Species

2638 Physical Riparian Condition Species

2639 Physical Riparian Condition Species

2640 Physical Riparian Condition Species

2641 Physical Riparian Condition Species

2642 Physical Riparian Condition Species

2643 Physical Riparian Condition Species

2644 Physical Riparian Condition Species

2645 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2646 Physical Riparian Condition Species

2647 Physical Riparian Condition Species

2648 Physical Riparian Condition Species

2649 Physical Riparian Condition Species

2650 Physical Riparian Condition Species

2651 Physical Riparian Condition Species

2652 Physical Riparian Condition Species

2653 Physical Riparian Condition Species

2654 Physical Riparian Condition Species

2655 Physical Riparian Condition Species

2656 Physical Riparian Condition Species

2657 Physical Riparian Condition Species

2658 Physical Riparian Condition Species

2659 Physical Riparian Condition Species

2660 Physical Riparian Condition Species

2661 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2662 Physical Riparian Condition Species

2663 Physical Riparian Condition Species

2664 Physical Riparian Condition Species

2665 Physical Riparian Condition Species

2666 Physical Riparian Condition Species

2667 Physical Riparian Condition Species

2668 Physical Riparian Condition Species

2669 Physical Riparian Condition Species

2670 Physical Riparian Condition Species

2671 Physical Riparian Condition Species

2672 Physical Riparian Condition Species

2673 Physical Riparian Condition Species

2674 Physical Riparian Condition Species

2675 Physical Riparian Condition Species

2676 Physical Riparian Condition Species

2677 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2678 Physical Riparian Condition Species

2679 Physical Riparian Condition Species

2680 Physical Riparian Condition Species

2681 Physical Riparian Condition Species

2682 Physical Riparian Condition Species

2683 Physical Riparian Condition Species

2684 Physical Riparian Condition Species

2685 Physical Riparian Condition Species

2686 Physical Riparian Condition Species

2687 Physical Riparian Condition Species

2688 Physical Riparian Condition Species

2689 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 280: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2690 Physical Riparian Condition Species

2691 Physical Riparian Condition Species

2692 Physical Riparian Condition Species

2693 Physical Riparian Condition Species

2694 Physical Riparian Condition Species

2695 Physical Riparian Condition Species

2696 Physical Riparian Condition Species

2697 Physical Riparian Condition Species

2698 Physical Riparian Condition Species

2699 Physical Riparian Condition Species

2700 Physical Riparian Condition Species

2701 Physical Riparian Condition Species

2702 Physical Riparian Condition Species

2703 Physical Riparian Condition Species

2704 Physical Riparian Condition Species

2705 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 281: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2706 Physical Riparian Condition Species

2707 Physical Riparian Condition Species

2708 Physical Riparian Condition Species

2709 Physical Riparian Condition Species

2710 Physical Riparian Condition Species

2711 Physical Riparian Condition Species

2712 Physical Riparian Condition Species

2713 Physical Riparian Condition Species

2714 Physical Riparian Condition Species

2715 Physical Riparian Condition Species

2716 Physical Riparian Condition Species

2717 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 282: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2718 Physical Riparian Condition Species

2719 Physical Riparian Condition Species

2720 Physical Riparian Condition Species

2721 Physical Riparian Condition Species

2722 Physical Riparian Condition Species

2723 Physical Riparian Condition Species

2724 Physical Riparian Condition Species

2725 Physical Riparian Condition Species

2726 Physical Riparian Condition Species

2727 Physical Riparian Condition Species

2728 Physical Riparian Condition Species

2729 Physical Riparian Condition Species

2730 Physical Riparian Condition Species

2731 Physical Riparian Condition Species

2732 Physical Riparian Condition Species

2733 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 283: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2734 Physical Riparian Condition Species

2735 Physical Riparian Condition Species

2736 Physical Riparian Condition Species

2737 Physical Riparian Condition Species

2738 Physical Riparian Condition Species

2739 Physical Riparian Condition Species

2740 Physical Riparian Condition Species

2741 Physical Riparian Condition Species

2742 Physical Riparian Condition Species

2743 Physical Riparian Condition Species

2744 Physical Riparian Condition Species

2745 Physical Riparian Condition Species

2746 Physical Riparian Condition Species

2747 Physical Riparian Condition Species

2748 Physical Riparian Condition Species

2749 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 284: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2750 Physical Riparian Condition Species

2751 Physical Riparian Condition Species

2752 Physical Riparian Condition Species

2753 Physical Riparian Condition Species

2754 Physical Riparian Condition Species

2755 Physical Riparian Condition Species

2756 Physical Riparian Condition Species

2757 Physical Riparian Condition Species

2758 Physical Riparian Condition Species

2759 Physical Riparian Condition Species

2760 Physical Riparian Condition Species

2761 Physical Riparian Condition Species

2762 Physical Riparian Condition Species

2763 Physical Riparian Condition Species

2764 Physical Riparian Condition Species

2765 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 285: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2766 Physical Riparian Condition Species

2767 Physical Riparian Condition Species

2768 Physical Riparian Condition Species

2769 Physical Riparian Condition Species

2770 Physical Riparian Condition Species

2771 Physical Riparian Condition Species

2772 Physical Riparian Condition Species

2773 Physical Riparian Condition Species

2774 Physical Riparian Condition Species

2775 Physical Riparian Condition Species

2776 Physical Riparian Condition Species

2777 Physical Riparian Condition Species

2778 Physical Riparian Condition Species

2779 Physical Riparian Condition Species

2780 Physical Riparian Condition Species

2781 Physical Riparian Condition Species

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Page 286: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2782 Physical Riparian Condition Species

2783 Physical Riparian Condition Species

2784 Physical Riparian Condition Species

2785 Physical Riparian Condition Species

2786 Physical Riparian Condition Species

2787 Species Species (ESU/DPS): The unique ESU or DPS name targeted by the action or impacted by the action. (May select multiple)

2788 Biological Other Species at Risk At-risk species (aquatic, estuarine, and terrestrial; plant and animal)

2789 Biological Species Species at Risk

2790 Biological Other Species at Risk, Plants see: At-Risk Freshwater Plant Communities

2791 Biological Species Species composition

2792 Biological Fish Species composition

2793 Biological Species

2794 Biological Fish Species distribution

2795 Biological Fish Species diversity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Implementation Monitoring

General Attribute

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat See: At-Risk Native Marine Species  

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Species condition index; comprised of all major biotic groups:

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2796 Biological Other Species Richness Number of native plant and animal species and distribution over time (departure from potential)

2797 Biological Other Species Richness Number of different species and abundance

2798 Biological Other Species richness

2799 Biological Fish Species Type what type of fish

2800 Biological General Attribute Specimen Collected

2801 Biological General Attribute Specimen Collected

2802 Physical Spring Transition See: Ocean Condition index: Spring Transition

2803 Physical Spring Transition Hydro? (This should be linked to a Hydro limiting factor )

2804 Physical SST/NOAA Buoy See: Ocean Condition index: SST/NOAA Buoy

2805 Physical SST/NOAA Buoy Sea Surface Temperatures, Sea surface elevation, ENSO, PDO, Productivity index

2806 Physical

2807 Physical Stain Lines

2808 See Method

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

Stable isotopes of nitrogen and carbon

Status & Trend or Effectiveness

Habitat Quality & Quantity

Look for frequent inundation water lines on rocks. These may be marked by sediment or lichen. Stain lines are often left by lower, more frequent flows, so bankfull is at or above the highest stain line.

General Attribute

Standard Operating Procedure (SOP)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2809 Time Start Date:

2810 Physical Station Number No Data Definition Exists

2811 Physical Station Number No Data Definition Exists

2812 Status Monitoring

2813 Biological fish

2814 Physical sediment Status of dredge spoils

2815 Biological Other

2816 Biological Fish Stock

2817 Biological Fish Stock composition of catch.

2818 Biological Fish Stock identification Stock identification of fish in catch.

2819 Biological Fish Stock identification Stock identification of fish released

2820 Biological Fish Stock identification

Implementation Monitoring

General Attribute

The date the action is intended to be implemented for planning and sequencing purposes and the actual date the action is implemented

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

General Attribute

Status monitoring is used to characterize existing or undisturbed conditions and to establish a baseline for future comparisons. The intent of status monitoring is to capture temporal and spatial variability in the parameters of interest. 

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status of Commercially Important Fish Stocks

This indicator tracks the percentage of commercially important fish species, or “stocks,” that are increasing or decreasing in size. Only stocks whose population increased or decreased by at least 25% are reported. Trends are based on the estimated weight, or “biomass,” of the entire stock.

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Status of Freshwater Animal Communities: Fish and Bottom-Dwelling Animals  

This indicator reports on “biological integrity”—the degree to which the suite of fish and bottom-dwelling animals in a lake or stream resembles what one might find in a relatively undisturbed lake or stream in the same region. Tests assess the number of different species, the number and condition of individuals, and food chain interactions for fish and bottom-dwelling (or benthic) animals, which include insects, worms, mollusks, and crustaceans. High scores indicate close resemblance to “natural” conditions, and low scores indicate significant deviation from them.

Status & Trend or Effectiveness

The living resources in the community or population from which catches are taken in a fishery. Use of the term fish stock usually implies that the particular population is more or less isolated from other stocks of the same species and hence self-sustaining.

Status & Trend or Effectiveness

Stock composition of catch.

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2821 Biological Fish Stock Projection The projected stock return and harvest escapement rates

2822 Biological Fish Stock Return Identified as equivalent of "escapement" or "Run size"

2823 Biological Fish Stock, Hatchery The name of a group of fish produced artificially in a hatchery for a specific river or stream

2824 Biological Fish Adult Spawners resiliency productivity

2825 Biological Fish Numbers of adults or juveniles

2826 Biological Fish Stock-specific catch rates.

2827 Biological Fish Stock-specific catchability, vulnerability, and maturity.

2828 Physical Strahler Stream Order stream order of stream in basin

2829 Biological Fish Stray rate

2830 Biological Fish Stray Ratio (percentage)

2831 Biological Fish Stray Ratio (percentage)

2832 Biological Fish Straying Locations of live and dead strays

2833 Physical Stream Bank Condition See Bank Condition

2834 Physical Stream Depth depth of stream and measurement pt

2835 Physical Stream Elevation beginning elevation pt to ending elevation pt

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Stock-recruit function intercept parameter

Status & Trend or Effectiveness

Stock-recruitment equilibrium abundance

Status & Trend or Effectiveness

Stock-specific catch rates.

Status & Trend or Effectiveness

Stock-specific catchability, vulnerability, and maturity.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Derived or raw measure (secondary): Carcass surveys of spawning grounds, or weir sampling, looking for marks or tags or taking scale and tissue samples for DNA analysis.

Status & Trend or Effectiveness

Estimate of the number and percent of hatchery origin fish on the spawning grounds, as the percent within MPG, and percent out of ESU. Calculated from 1) total known origin carcasses, and 2) uses fish released above weir. Data adjusted for unmarked carcasses above and below weir.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2836 Physical Hydrology Stream Flow See Flow

2837 Physical Hydrology Annual base stream flows.

2838 Physical Hydrology Annual peak stream flows.

2839 Physical Stream Gradient

2840 Physical Stream Habitat Quality

2841 Physical

2842 Physical Stream Length length of stream

2843 Physical Stream Name name of stream being studied

2844 Biological Fish Stream Network The geomorphologic patterns of hierarchical connections formed by streams as they drain the watershed

2845 Physical Stream order

2846 Physical Stream Order ?

2847 Physical Stream Profile No Data Definition Exists

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Stream Flow , Annual Base

Status & Trend or Effectiveness

Stream Flow , Annual Peak

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity This indicator would describe the habitat quality of farmland streams by comparing a number of key attributes to those of relatively undisturbed streams in the same general area. The index would incorporate the presence of riffles and pools, the size of streambed sediments and the degree to which larger gravel and cobbles are buried in silt, the presence of branches, tree trunks, and other large woody pieces, and the stability of the bank. A companion indicator would report on all streams, not just on those in farmlands.

Status & Trend or Effectiveness

Habitat Quality & Quantity Stream Habitat Quality  

This indicator would describe stream habitat quality by comparing the habitat in any given stream segment against the habitat that would be found in a relatively undisturbed stream in the same region. The index used for comparison would incorporate the presence of riffles and pools, the size of streambed sediments and the degree to which larger gravel and cobbles are buried in silt, the presence of branches, tree trunks, and other large woody pieces, and the stability of the bank.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2848 Physical Stream reach mapping

2849 Physical Hydrology Stream Size classify stream size small, too small, very small

2850 Physical Streambed material is there streambed material throughout culvert

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2851 Physical sediment Determine the percent fines < 2 mm in diameter (D), D50 (median particle size), and D84 within the reach.Status & Trend or Effectiveness

Streambed Particle Size Distribution (Pebble Counts)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2852 Physical Hydrology Streamflow: Depth depth for each float reach

2853 Physical Hydrology length of segment

2854 Physical Hydrology Streamflow: Float Time determine time required for object to travel through segment

2855 Physical Watershed

2856 Physical Watershed

2857 Physical Watershed

2858 Physical Watershed

2859 Physical Watershed

2860 Physical Watershed

2861 Physical Watershed

2862 Physical Watershed

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Streamflow: Float Distance

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_AnglingPressure

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_AnglingPressure

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_AnglingPressure

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Channelization

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Channelization

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Channelization

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_ChemicalTreatment

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_ChemicalTreatment

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2863 Physical Watershed

2864 Physical Watershed

2865 Physical Watershed

2866 Physical Watershed

2867 Physical Watershed

2868 Physical Watershed

2869 Physical Watershed

2870 Physical Watershed

2871 Physical Watershed

2872 Physical Watershed

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_ChemicalTreatment

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Dams

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Dams

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Dams

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Dredging

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Dredging

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Dredging

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_FishStocking

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_FishStocking

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_FishStocking

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2873 Physical Watershed

2874 Physical Watershed

2875 Physical Watershed

2876 Physical Watershed

2877 Physical Watershed

2878 Physical Watershed

2879 Physical total length of streams in entire watershed

2880 Physical 0 = Absent, 1 = Sparse, 2 = Moderate, 3 = Heavy, 4 = Very Heavy

2881 Physical Structures

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Liming

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Liming

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_Liming

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_WaterLevelFluctuations

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_WaterLevelFluctuations

Status & Trend or Effectiveness

Watershed Condition

StreamManagement_WaterLevelFluctuations

Status & Trend or Effectiveness

Habitat Quality & Quantity

Streams length/Watershed

Status & Trend or Effectiveness

Habitat Quality & Quantity

Structure: Barren, Bare Dirt

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2882 Action Sub Action

2883 Physical Subbasin ID unique subbasin id value given to research site

2884 Physical Subbasin Name name of subbasin

2885 Physical Subgeology further breakdown of gross geology

2886 Physical Vegetation

2887 Physical Substrate

Implementation Monitoring

General Attribute

Actions may be further broken down into sub actions. These may be classified as follows : 1. Program – 1) A collection of actions and activities including site specific projects to be implemented in response to a meet an agency mission or mandate or a recovery plan action. 2) a collection of projects using a consistent set of protocols to collect monitoring data for sites in multiple geographic locations in response to a research question, or to meet an agency mission or mandate. 2. Activity: An Activity is the description of means in which an action will be implemented. Activities can be further broken down into specific tasks. 3. Task: A task is a subset of an activity to address an action. Tasks can be further broken down into specific “project” categories. (This should be the synonymous with “Activity”)

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Submerged Aquatic Vegetation - stem height/density Submerged Aquatic Vegetation - percent cover

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING : dominant substrate is gravel or cobble (interstitial spaces clear), or embeddedness <20%3 AT RISK gravel and cobble is subdominant, or if dominant, embeddedness 20-30%3 NOT PROPERLY FUNCTIONING bedrock, sand, silt or small gravel dominant, or if gravel and cobble dominant, embeddedness >30%2

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2888 Physical sedimentStatus & Trend or Effectiveness

Substrate – Pebble Counts

Bed and bank materials of a stream are key elements in the formation and maintenance of channel morphology. These materials influence channel stability and resistance to scour during high flow events. The frequency of bed load transport can be critically important to fish spawning and other aquatic organisms that use the substrate for cover. The pebble count procedure was originally designed to quantify streambed substrate without having to collect substrate samples and take them back to the lab for sieve analysis. The procedure requires taking measurements of substrate on an increment within the bankfull channel.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2889 Physical percentage of occurrence of coarse

2890 Physical Substrate Code

2891 Physical Substrate Composition

2892 Physical percentage of occurrence of Fine / Sand

2893 Physical percentage of occurrence of gravel

2894 Physical percentage of occurrence of other

2895 Physical Substrate Size No Data Definition Exists

2896 Physical Substrate Type defined as fine / sand - gravel - coarse - other

2897 Physical sediment Substrate type

2898 Physical Substrate type Not Defined

Status & Trend or Effectiveness

Habitat Quality & Quantity

Substrate Coarse, Percentage

Status & Trend or Effectiveness

Habitat Quality & Quantity

Measurements of substrate and channel dimensions at channel transects contribute directly to assessments of habitat volume, channel and bed stability, and habitat quality for benthic macroinvertebrates, periphyton, and fish. The field crews visually estimate the size of particles according to the following classes: RS Bedrock (Smooth) .... > 4000 mm RR Bedrock (Rough) > 4000 mm HP Hardpan > 4000 mm BL Boulders > 250 to 4000 mm CB Cobbles > 64 to 250 mm GC Gravel (Coarse) > 16 to 64 mm GF Gravel (Fine) > 2 to 16 mm SA Sand > 0.06 to 2 mm FN Silt, clay, muck - # 0.06 mm WD Wood - Regardless of Size OT Other - Regardless of Size

Status & Trend or Effectiveness

Habitat Quality & Quantity

Change in substrate composition - %fines, %gravel, embeddedness.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Substrate Fine / Sand, Percentage

Status & Trend or Effectiveness

Habitat Quality & Quantity

Substrate Gravel,Percentage

Status & Trend or Effectiveness

Habitat Quality & Quantity

Substrate Other, Percentage

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2899 Physical Substrate Type

2900 Physical Vegetation

2901 Physical Surface Difference difference between water surface before dam and water surface after dam

2902 Physical Surface Winds surface winds / miles per hour

2903 Physical Survey Length survey length

2904 Other Other Survey Type method of how survey was conducted

2905 Other Other Survey Type type of survey; aerial, foot, other

2906 Biological Fish Survival Point estimate of survival and associated precision

Status & Trend or Effectiveness

Habitat Quality & Quantity

Substrate type Abbreviation Size class DescriptionSmooth bedrock RS >4000 mm Smooth surface rock bigger than a carRough bedrock RR >4000 mm Rough surface rock bigger than a carHardpan HP >4000 mm Firm, consolidated fine substrateBoulders BL >250 to 4000 mm Basketball to car sizeCobbles CB >64 to 250 mm Tennis ball to Basketball sizeCoarse gravel GC >16 to 64 mm Marble to tennis ball sizeFine gravel GF >2 to 16 mm Ladybug to marble sizeSand SA >0.06 to 2 mm Smaller than ladybug size, but visible as particles and gritty between fingersSilt, clay, muck FN < 0.06 mm Silt, clay, muck and not gritty between fingersWood WD Regardless of size Wood and other organic particlesOther OT Regardless of size Concrete, metal, tires, car bodies, etc.

Effectiveness Monitoring

Estuarine & Nearshore Habitat

Success Rate of Vegetation Plantings

Vegetation plantings are the primary objectives of some restoration projects, for example, in riparian areas intended to provide shade over water bodies. Plantings are also made in tandem with other restoration actions, for example, to forestall the invasion of exotic species or to accelerate the development of desired native plant communities and their associated functions for salmonid prey production. The success rate of vegetation plantings is typically assessed by counting a subset of the plantings and calculating the survival rate; rate of growth and health are also desirable observations.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2907 Physical Suspended Sediment

2908 Physical Suspended solids

2909 Biological Fish Tag Detection Tag detections within fishways and upstream of the project (including spawning tributaries).

2910 Other Other Tag Life Tag life (if applicable for active tags)

2911 Biological Fish Tagged Fish Number of tagged fish

2912 Biological Fish Tagging (raw data)

2913 Physical Tailrace Elevation

2914 Physical Riparian Condition Taxonomic Category

2915 Physical Riparian Condition Taxonomic Category

2916 Physical Riparian Condition Taxonomic Category

2917 Physical Riparian Condition Taxonomic Category

2918 Physical Riparian Condition Taxonomic Category

2919 Physical Riparian Condition Taxonomic Category

2920 Physical Riparian Condition Taxonomic Category

2921 Physical Riparian Condition Taxonomic Category

2922 Physical Riparian Condition Taxonomic Category

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2923 Physical Riparian Condition Taxonomic Category

2924 Physical Riparian Condition Taxonomic Category

2925 Physical Riparian Condition Taxonomic Category

2926 Physical Riparian Condition Taxonomic Category

2927 Physical Riparian Condition Taxonomic Category

2928 Physical Riparian Condition Taxonomic Category

2929 Physical Riparian Condition Taxonomic Category

2930 Physical Riparian Condition Taxonomic Category

2931 Physical Seasonal averages (June-August, September-November, December-February, and March-May) of air temperature.

2932 Physical Water Quality Temperatur, Logger Logger temperature reading.

2933 Physical Water Quality Temperature Recorded Temperature level

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Temeprature, Seasonal average

Status & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2934 Physical Water Quality Temperature

2935 Physical Water Quality Temperature No Data Exists

2936 Physical Water Quality Temperature

2937 Physical

2938 Quality Control Field Quality Control Temperature Blank

2939 Physical Temperature, Air See Air Temperature

2940 Physical Temperature,Water See: Water Temperature

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Water temperature may be measured with an alcohol, mercury or digital thermometer. Temperatureshould be measured as soon as the sample is collected to obtain a measurement that is an accuraterepresentation of the in situ sample temperature. If possible, it is recommended that alcohol or digitalthermometers be used in place of mercury thermometers to avoid possible breakage and introduction ofmercury into the environment and to remove a source of possible contamination to samples collected forthe analysis of mercury. All instruments used to measure temperature should be traceable to a NISTtemperature reference.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Temperature (profile and annual)

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

A temperature blank is a plastic container of water that is kept in the sample cooler with analyticalsamples between sample collection and delivery. The temperature of this water is measured and recordedwhen samples are received at the analytical laboratory. Measurement of the temperature blank is used toindicate whether proper sample temperature was maintained between sample collection and delivery tothe analytical laboratory.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2941 Biological Amphibians Terrestrial AmphibiansStatus & Trend or Effectiveness

Terrestrial amphibian searches will occur at each site within specified watersheds. Above all else, care must be taken when handling organisms. Remember that amphibians absorb substances through their skin, and the chemicals in sunscreen and bug repellent will be toxic to amphibians. Under no circumstance will the crewmembers performing amphibian searches be wearing bug repellent or sunscreen until they have completed surveying.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2942 other other Test temperature Certified (NIST) laboratory thermometer measurement of test bath

2943 Physical Thalweg Depth flow path of deepest water in channel

2944 Physical Thalweg depth

2945 Physical Thalweg Depth Thalweg water depth (cm)

2946 Physical Thalweg profile

2947 other other Thermal Accuracy Average absolute difference between the TIR data and kinetic temperature

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2948 Thermograph Thermographs are to be placed in each watershed prior to the field season. Temperature data will be collected hourly from June 1 through September 15. All thermographs should be removed from the watersheds by October 15.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2949 Attribute Threats:

2950 Physical Tidal Channel Condition Look for visible tidal flow restrictions, ditching, dikes, and remnant channels.

2951 Physical

2952 Physical

2953 Physical

2954 Physical

2955 Physical Hydrology

2956 Physical Hydrology

2957 Physical Hydrology

2958 Physical Hydrology Tidal channels- length

Implementation Monitoring

General Attribute

Threats are the human actions or natural events (e.g., road building, floodplain development, fish harvest, hatchery influences, volcanic activity) that cause or contribute to limiting factors. Threats may be caused by the continuing results of past events and actions as well as by present and anticipated future events and actions.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Tidal channel mouths – culverted or tidegated sites

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Tidal channels – diked/ditched/culverted sites

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Tidal channels – non-diked, non-ditched sites

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Tidal channels- bifurcation ratio

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Tidal channels- cross sectional shape

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Tidal channels- drainage density

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Tidal channels- flow rates

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2959 Physical Hydrology Tidal channels- order

2960 Physical Hydrology Tidal channels- sinuosity

2961 Physical Hydrology

2962 Physical Hydrology Tidal range

2963 Physical Tidal range

2964 Physical Hydrology

2965 Physical Tidal Wetland Change Change in area, distribution, and type of tidal and submerged wetlands.

2966 Physical Tidal Wetlands Area, distribution, type, and change in area of tidal and submerged wetlands

2967 other other Time Date and time

2968 other other Time of day helps to establish base level

2969 other other Time of Measurement exp. 01/01/04

2970 Biological Fish Trends of adults or juveniles

2971 Physical Hydrology Time, Streamflow determine time required to collect known volume of water

2972 Biological Fish Timing Mean Mean Julian date

2973 Biological Fish Timing Mean Mean Julian date

2974 Biological Fish Timing Mean Mean Julian date

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Tidal channels- width/depth ratio

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

tidal saline, brackish, and freshwater wetlands

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Estuarine & Nearshore Habitat

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Time series slope (4-, 12-, 20-year)

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2975 Physical Toxicology Tissue

2976 Quality Control Field Quality Control Tissue Sampling

2977 other other Titration method titration method for determining mg/l

2978 Physical Water Quality TMDL See: Total Maximum Daily Load

2979 Biological Fish See: Total Allowable Catch

2980 Physical Top of Pointbars

2981 Other Other Topo Map Yes if site location is verified by topo map

2982 Biological Fish Total Allowable Catch The total number of fish allowed to be harvested in a specific fishery and location

2983 Physical Total Carbon

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Some project objectives may require that laboratory analyses be conducted on tissue samples fromspecific marine organisms. Over the years, a large assortment of sampling equipment has beendeveloped to collect marine animals from essentially every major taxonomic group. The preferredmethod for sample collection will be determined by the type of organism required, and the nature of itshabitat.

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Field QC procedures for tissue sampling and processing are limited to minimization of contaminationdescribed in previous and following sections. Field QC samples collected as a check for contaminationmay include equipment and container blanks. Field replicate samples are generally specified in theproject planning document and may be included as a check of sample variability rather than a check ofsampling methodology.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

TOC: Total Allowable Catch

Status & Trend or Effectiveness

Habitat Quality & Quantity

The point bar consists of channel material deposited on the inside of meander bends. They are a prominent feature of C-type channels but may be absent in other types. Record the top elevation of pointbars as the lowest possible bankfull stage since this is the location where the floodplain is being constructed.

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2984 Biological Fish Total Catch # fish released + total retained

2985 Biological Other Total coliform bacteria

2986 Physical Total Cropland See: Cropland, Total

2987 Physical Total dissolved gas

2988 Physical Water Quality 12- and 24-hour average TDG

2989 Physical Water Quality Total Dissolved Gqas Forebay TDG.

2990 Physical Water Quality Total Dissolved Gqas TDG downstream of the project.

2991 Biological Fish Total Fishery Mortality

2992 Biological Fish

2993 Physical Total Impervious Area

2994 Physical Total kjeldahl nitrogen

2995 Physical Water Quality Index of water quality based on concentration of pollutants.

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Total Dissolved Gas, Average

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

catch= incidental mortality (discards, drop off mortality, Drop-out mortality with nets, and estimated predation related to fish that are caught.

Status & Trend or Effectiveness Total Fishery Mortality:

Mortality resulting from any fishery related activity and usually includes mortality associated with releasing undersize or nonretainable fish. This may also include (when available) mortality from encounters with the fishing gear as "drop-off" in hook-and-line fisheries or "drop-out" in net fisheries. Theoretically, this could also include predation on fish that were encountered and made vulnerable because of fishing activity.

Status & Trend or Effectiveness

Habitat Quality & Quantity

This indicator classifies urban and suburban areas according to the percentage of impervious surface—roads, parking lots, driveways, sidewalks, rooftops, and the like—they contain. The indicator uses several thresholds: less than 10% impervious surface in the region, at least 10%, at least 20%, and at least 30%. The amount of impervious surface is a direct measure of the degree of urbanization, and it strongly affects both water quality in urban and suburban areas and replenishment of groundwater. Areas with more impervious, or nonporous, surfaces generate more runoff, which not only can contaminate and warm stream waters but also can degrade stream channels and banks. These changes have major impacts on the fish and wildlife that inhabit streams. In general, the impact on streams increases as the percentage of impervious surface in a watershed increases.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Total Maximum Daily Load

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

2996 other other Total Number total number from collections

2997 other other Total Number/Kilometer total number from collections per kilometer

2998 Physical Total phosphorus

2999 Physical total phosphorus

3000 Physical Total Road Length total road length of entire watershed

3001 Physical Water Quality Total solids

3002 other other Township township number

3003 Physical Toxicology Toxics See “Fish” above, plus estimates of concentrations and distributions of Toxics

3004 other other Transect transect identifier

3005 other other Transect location of smaple measurements taken

3006 Physical Transect Direction No Data Definition Exists

3007 Physical Transect Direction No Data Definition Exists

3008 Physical Transect Direction No Data Definition Exists

3009 Other Other Transect Distance Distance between each of the 11 sampling transects, 1/10 of the sample reach length

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3010 Physical Transect Id No Data Definition Exists

3011 Physical Transect Id No Data Definition Exists

3012 Physical Transect Id No Data Definition Exists

3013 Physical Transect Id No Data Definition Exists

3014 Physical Transect Id No Data Definition Exists

3015 Physical Transect Id No Data Definition Exists

3016 Biological Fish

3017 Biological Fish ?

3018 Physical Water Quality Transparency

3019 Biological Fish Transport Percentage Percentage of fish transported.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Transistion and coho survival

Status & Trend or Effectiveness

Transistion and coho survival

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Water column transparency is measured with a Secchi disk. A Secchi disk is a weighted, black and whiteor all white disk lowered into the water body on a calibrated rope or line. The disk is lowered until it isjust visible to the sampler and the depth, as measured from the water surface, is recorded in feet ormeters. The all-white disk may be preferable when the water transparency is high. Either disk, however,is acceptable to use.

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3020 Biological Fish Transport survival

3021 Physical Transport Survivorship TIR estimates for wild and hatchery fish

3022 Physical Estimate detritus as percent of total sample

3023 Biological Fish Transported

3024 Biological Fish Trapping Duration Days, Hours, minutes for trapping duration

3025 Biological Fish Trapping Efficiency based on the mark / recapture estimate

3026 Biological Fish Trapping Method Method used for fish trapping

3027 Physical Tree Classifications tree types appearing in imagery

3028 Physical Tree Root Exposure percent of transect with tree roots showing

3029 Physical Vegetation

3030 Physical Vegetation

3031 Physical Vegetation

3032 Physical Vegetation

3033 Physical Vegetation

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Transport, Sample Percent

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Trees & shrubs- basal area

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Trees & shrubs- percent cover

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Trees & shrubs- presence/species composition

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Trees & shrubs- stem density

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Trees & shrubs- survival rate of planted species

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3034 Trend Monitoring

3035 Physical Returns/spawner, lambda, temporal trends, or other metrics as determined by experimental design

3036 Physical

3037 Physical Hydrology Tributaries

3038 Other Other Tributary Name name of tributary or other inflow if present in the image

3039 Quality Control Field Quality Control Trip Blank

3040 Physical Water Quality Turbidity

3041 Physical water quality Turbidity

3042 Physical Turbidity

General Attribute

Trend monitoring involves measurements taken at regular time or space intervals in order to assess the long-term or large-scale trend in a particular parameter. Usually, the measurements are not taken specifically to evaluate management practices; rather, they serve to describe changes in the parameter over time or space. (NOAA RM&E Guidance )

Status & Trend or Effectiveness

Habitat Quality & Quantity

Trends in Hatchery wild ratios, Hatcheries in compliance with goals

Status & Trend or Effectiveness

Habitat Quality & Quantity

Trends in total allowable catch by fish population and fishing entity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

A trip blank is a sample of analyte-free water plus preservative that is prepared by the laboratory in a 40-ml volatile organic analysis (VOA) vial. It is transported to the sampling location, remains unopenedduring sampling, and accompanies the samples back to the laboratory. A trip blank is submitted onlywhen sample analysis includes volatile organic compounds or gasoline. Analysis of the trip blank is usedto indicate sample contamination during transport, or from bottle or sample storage, both before and aftersampling.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3043 Physical Water Quality Turbidity

3044 Physical Water Quality Turbidity A measure of the degree to which light is scattered by suspended particulate material and soluble colored compounds in the water.

3045 Physical Water Quality Turbidity Measurement measurement taken with turbidimeter

3046 Physical Water Quality Turbidity: Activity

3047 Biological Fish Type of gear and harvest method used.

3048 Research Uncertainty Resear

3049 Physical Undercut banks

3050 Physical Undercut banks No Data Definition Exists

3051 Physical UndercutBanks

3052 Physical UndercutBanks

3053 Physical UndercutBanks

Status & Trend or Effectiveness

Estuarine, Nearshore & Marine Habitat

Turbidity may be measured in the field with a field-portable nephelometer (turbidity meter). The metershould be calibrated prior to use with at least two standards of different but known turbidity (innephelometric turbidity units or NTUs). The two standards should attempt to bracket the range ofturbidity measurements expected at the sampling site. When performing field analysis for turbidity,samples should be analyzed as soon as possible after collection. If immediate analysis is not possible, thesample should be agitated prior to analysis to resuspend any settled solid material.

Status & Trend or EffectivenessStatus & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Type of gear and harvest method

General Attribute

Systematic observation of phenomena for the purpose of learning new facts or testing the application of scientific theories & hypothesis to known facts related to the unknown correlations in biological and ecological processes and functions.; -- also called scientific research.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Area of the wetted channel effectively covered by undercut banks. A channel is rarely covered more than 10% by undercut banks.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3054 Physical UndercutBanks

3055 Physical UndercutBanks

3056 Physical UnderHerbsGrasses

3057 Physical UnderHerbsGrasses

3058 Physical UnderHerbsGrasses

3059 Physical UnderHerbsGrasses

3060 Physical UnderHerbsGrasses

3061 Physical UnderHerbsGrasses

3062 Physical UnderShrubSaplings

3063 Physical UnderShrubSaplings

3064 Physical UnderShrubSaplings

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3065 Physical UnderShrubSaplings

3066 Physical UnderShrubSaplings

3067 Physical UnderShrubSaplings

3068 Physical UnderVegType

3069 Physical UnderVegType

3070 Physical UnderVegType

3071 Physical UnderVegType

3072 Physical UnderVegType

3073 Physical UnderVegType

3074 Physical Riparian Condition UnPavedRoad

3075 Physical Riparian Condition UnPavedRoad

3076 Physical Riparian Condition UnPavedRoad

3077 Physical Riparian Condition UnPavedRoad

3078 Physical Riparian Condition UnPavedRoad

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3079 Biological Marine Mammals

3080 Physical Unvegetated Banks percent of transect showing no vegetation

3081 Upland habitat projects Acres of upland habitat treated

3082 Project Type Upland-Agriculture: Upland restoration activities relating to agricultural use

3083 Project Type Upland-Agriculture: Upland restoration activities relating to agricultural use

3084 Project Type

3085 Project Type

3086 Project Type Placement of exclusion and non-exclusion fencing. Total miles of fencing to nearest 0.01 mile

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat Unusual Marine Mortalities

This indicator reports the occurrence of “unusual” mortalities of marine animals. Unusual mortality events (UME) are characterized by an abnormal number of dead animals or by the appearance of dead animals in locations or at times of the year that are not typical for that species. For larger animals like whales, dolphins, porpoises, seals, sea lions, sea otters, manatees, and sea turtles, where a small number of deaths is significant, the indicator will report the actual number of dead individuals. For smaller, more abundant, animals (seabirds, fish, and shellfish), the indicator will report the number of mortality events, rather than number of individual deaths.

Status & Trend or Effectiveness

Habitat Quality & Quantity

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Effectiveness Monitoring

Project Tracking

Implementation Monitoring

Project Tracking

Effectiveness Monitoring

Project Tracking

Upland-Agriculture: Agriculture Management (BMPs)

Implementaton of best management practices eg low/ no till agriculture. Total acres proposed for each treatment to nearest

Implementation Monitoring

Project Tracking

Upland-Agriculture: Agriculture Management (BMPs)

Implementaton of best management practices eg low/ no till agriculture. Total acres proposed for each treatment to nearest

Effectiveness Monitoring

Project Tracking

Upland-Agriculture: Fencing

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3087 Project Type Placement of exclusion and non-exclusion fencing. Total miles of fencing to nearest 0.01 mile

3088 Project Type

3089 Project Type

3090 Project Type

3091 Project Type

3092 Project Type Upland-Vegetation: Upland restoration activities relating to vegetation, includes forestry

3093 Project Type Upland-Vegetation: Upland restoration activities relating to vegetation, includes forestry

3094 Project Type Removal and control of non-native plants and noxious weeds. Total acres for each treatment to nearest whole acre.

Implementation Monitoring

Project Tracking

Upland-Agriculture: Fencing

Effectiveness Monitoring

Project Tracking

Upland-Agriculture: Livestock Management

Any upland livestock management including livestock wateringschedules and grazing management plans,. Total acres proposed for each treatment to neares

Implementation Monitoring

Project Tracking

Upland-Agriculture: Livestock Management

Any upland livestock management including livestock wateringschedules and grazing management plans,. Total acres proposed for each treatment to neares

Effectiveness Monitoring

Project Tracking

Upland-Agriculture: Water Development

Irrigation and livestock water development including ditches, wells, ponds, springs etc.

Type of water development project (ditch, well, pond, etc.) and number of treatments.

Implementation Monitoring

Project Tracking

Upland-Agriculture: Water Development

Irrigation and livestock water development including ditches, wells, ponds, springs etc.

Type of water development project (ditch, well, pond, etc.) and number of treatments.

Effectiveness Monitoring

Project Tracking

Implementation Monitoring

Project Tracking

Effectiveness Monitoring

Project Tracking

Upland-Vegetation: Invasive Plant Control

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3095 Project Type Removal and control of non-native plants and noxious weeds. Total acres for each treatment to nearest whole acre.

3096 Project Type

3097 Project Type

3098 Project Type

3099 Project Type

3100 Project Type

3101 Project Type

3102 Project Type Upland-Wetland: Projects designed to protect, create or improve connected wetland areas (that meet the standard for federal delineation)

Implementation Monitoring

Project Tracking

Upland-Vegetation: Invasive Plant Control

Effectiveness Monitoring

Project Tracking

Upland-Vegetation: Planting

Upland plant installation, seeding, and revegetationTotal acres for each treatment to nearest whole acre.

Implementation Monitoring

Project Tracking

Upland-Vegetation: Planting

Upland plant installation, seeding, and revegetationTotal acres for each treatment to nearest whole acre.

Effectiveness Monitoring

Project Tracking

Upland-Vegetation: Slope Stabilization

Implementation of slope stabilization methods including landslide reparation and terracing.

Total acres for each treatment to nearest whole acre.

Implementation Monitoring

Project Tracking

Upland-Vegetation: Slope Stabilization

Implementation of slope stabilization methods including landslide reparation and terracing.

Total acres for each treatment to nearest whole acre.

Effectiveness Monitoring

Project Tracking

Upland-Vegetation: Vegetation/Stand Management

Prescribed burns, stand thinning, stand conversion, silviculture,vegetation management, selective thinning, hazard reduction. Total acres for each treatment to nearest whole acre.

Implementation Monitoring

Project Tracking

Upland-Vegetation: Vegetation/Stand Management

Prescribed burns, stand thinning, stand conversion, silviculture,vegetation management, selective thinning, hazard reduction. Total acres for each treatment to nearest whole acre.

Effectiveness Monitoring

Project Tracking

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3103 Project Type Upland-Wetland: Projects designed to protect, create or improve connected wetland areas (that meet the standard for federal delineation)

3104 Project Type

3105 Project Type

3106 Project Type

3107 Project Type

3108 Project Type

3109 Project Type

3110 Project Type

Implementation Monitoring

Project Tracking

Effectiveness Monitoring

Project Tracking

Upland-Wetland: Wetland Creation

Wetland area created where it did not previously existAcres of artificial wetland created from an area not formerly a wetland. (Acres to nearest whole acre)

Implementation Monitoring

Project Tracking

Upland-Wetland: Wetland Creation

Wetland area created where it did not previously existAcres of artificial wetland created from an area not formerly a wetland. (Acres to nearest whole acre)

Effectiveness Monitoring

Project Tracking

Upland-Wetland: Wetland Improvement/Enhancement

Changes to an existing wetland.Acres of wetland actually treated. (Acres to nearest whole acre)

Implementation Monitoring

Project Tracking

Upland-Wetland: Wetland Improvement/Enhancement

Changes to an existing wetland.Acres of wetland actually treated. (Acres to nearest whole acre)

Effectiveness Monitoring

Project Tracking

Upland-Wetland: Wetland Invasive Species Removal

Removal and/or control of non-native species and/or noxious weeds in a wetland area.

The acreage of invasive species actually treated in the wetland project. The proposed project area may only be a portion of an existing wetland such as removing an area of purple loosestrife. (Acres to nearest whole acre)

Implementation Monitoring

Project Tracking

Upland-Wetland: Wetland Invasive Species Removal

Removal and/or control of non-native species and/or noxious weeds in a wetland area.

The acreage of invasive species actually treated in the wetland project. The proposed project area may only be a portion of an existing wetland such as removing an area of purple loosestrife. (Acres to nearest whole acre)

Effectiveness Monitoring

Project Tracking

Upland-Wetland: Wetland Restoration

Restoration of existing or historic wetlandAcres of wetland actually treated. (Acres to nearest whole acre)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3111 Project Type

3112 Project Type

3113 Project Type

3114 Other Other Upper Bank Side Stream side of upper monumentation (looking downstream)

3115 other other distance from bank

3116 Physical

3117 Physical Ocean Conditions Upwelling of nutrients

3118 Physical Urban sprawl

3119 Contact

Implementation Monitoring

Project Tracking

Upland-Wetland: Wetland Restoration

Restoration of existing or historic wetlandAcres of wetland actually treated. (Acres to nearest whole acre)

Effectiveness Monitoring

Project Tracking

Upland-Wetland: Wetland Vegetation Planting

The planting of native wetland species in wetland areas.Acres of wetland actually treated. (Acres to nearest whole acre)

Implementation Monitoring

Project Tracking

Upland-Wetland: Wetland Vegetation Planting

The planting of native wetland species in wetland areas.Acres of wetland actually treated. (Acres to nearest whole acre)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Upstream Distance from Bank

Status & Trend or Effectiveness

Environmental Condition

Upwelling index based on Ekman mass transport calculation

Status & Trend or Effectiveness

Oceans, Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Implementation Monitoring

General Attribute

Validated by Administrator:

This attribute is used to validate that the information presented is approved by the entities responsible for implementing the action. This helps with Quality Assurance and Quality Control of the evaluation and reporting of the implementation informationDraft Attributes Collected: A Check box

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3120

3121 Physical Valley Bottom Gradient measured in length of about 300 m

3122 Physical Valley bottom gradient

3123 Other Other Valley Bottom Type f1,f2,f3,f4,f5,m1,m2,v1,v2,v3,v4,u1,u2,u3,u4,h1,h2,h3

3124 Physical Valley bottom type

3125 Physical Valley Bottom Width ratio of valley bottom width to active channel width

3126 Physical Valley bottom width

General Attribute

Validation Monitoring

Validation monitoring is research to verify the basic assumptions behind effectiveness monitoring and models . Validation monitoring is used to assess the assumed linkage between implementation, compliance and effectiveness monitoring indicators, and the assumed indirect linkages between the effectiveness monitoring and the management objectives.

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3127 Physical Miles of Poor, Fair, Good or excellent Spawning Habitat

3128 Physical Valley Confinement compare valley confinement descriptions to field observations

3129 Physical Valley Confinement valley floor width / channel widths

Status & Trend or Effectiveness

Habitat Quality & Quantity

Valley characteristics (valley bottom types, valley widths and gradients, valley containment, road density, land ownership, land use); Channel characteristics (bed-form types, channel types, gradient, width/depth ratio, stability); Riparian vegetation (structure, disturbance, canopy cover); Habitat access (dams and diversions); Stream flows; Habitat quality (substrate, embeddedness, large woody debris, pools, off-channel habitat, fish cover)

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3130 Physical Valley containment

3131 Physical Valley Length

3132 Physical Valley Segment Type colluvial, alluvial, bedrock

3133 Biological Fish Variability of adults or juveniles

3134 Physical Veg Cover helps determine whether outside forces (wooded) help establish pools

3135 Physical Veg Cover Type anything that helps conceal or protect fish from competitors or predators

3136 biological Vegetation Vegetation

3137 Biological Other Vegetation Biodiversity

3138 Physical Vegetation

3139 Physical Vegetation Description description of vegeation - info obtained from Baileys classification

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Habitat Quality & Quantity

To obtain valley length, measure the straight-line distance between the points where the thalweg crosses the top and bottom of the reach.

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Variance (4-, 12-, 20-year)

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Effectiveness Monitoring

Estuarine & Nearshore Habitat

Vegetation Changes Resulting from Tidal Reconnection

Plant community composition can change rapidly following reconnection to a tidal hydrologic regime (Cornu and Sadro 2002; Roman et al. 2002) especially if the reconnection fosters salinity intrusion (Thom et al. 2002). Vegetation patterns confer both structural elements and ecological processes to wetland ecosystems, and may increase ecosystem capacity for foraging salmonids (Sommer et al. 2001; Tanner et al. 2002). We recommend that measurement of changes in vegetation community structure be accomplished at both landscape-scale (described above) and through transect or ground survey techniques. Where projects include revegetation, the effectiveness of plantings can be determined by assessing subsequent survival and the growth of transplants.

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3140 Physical more plants - higher acidic rate

3141 Physical Vegetation Layer Canopy (>5m) - Understory (0.5 to 5m) - Ground Cover (<.5)

3142 Physical Vegetation Type D = deciduous, C = Coniferous, E = Broadleaf Evergreen, M = Mixed, N = None

3143 Physical Vegetation Vegetation Type

3144 Physical Vegetation Type

3145 Physical

3146 Physical

3147 Physical

3148 Physical

3149 Physical

3150 Physical

3151 Physical

3152 Physical

3153 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetation in Stream, Percentage

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3154 Physical

3155 Physical

3156 Physical

3157 Physical

3158 Physical

3159 Physical

3160 Physical

3161 Physical

3162 Physical

3163 Physical

3164 Physical

3165 Physical

3166 Physical Hydrology Velocities daily average, maximum and minimum (m/s).

3167 Physical Hydrology Velocity • Velocities—daily average, maximum and minimum (m/s)

3168 Physical Hydrology Velocity value from rod

3169 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Habitat Quality & Quantity

Vegetative Protection Left Bank

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3170 Physical

3171 Physical

3172 Physical

3173 Physical

3174 Physical

3175 Physical

3176 Physical

3177 Physical

3178 Physical

3179 Physical

3180 Physical

3181 Physical

3182 Physical

3183 Physical

3184 Physical

3185 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3186 Physical

3187 Physical

3188 Physical

3189 Physical

3190 Biological Other Viral disease

3191 Physical Water Quality Visibility percent visibility of diver

3192 Physical exp. Urban runoff, industrial discharges, agricultural

3193 Physical Hydrology Volume (L) use calibrated bucket for measurement - 5 times /spillway

3194 Other Other Volume, Sample Volume of composite sample

3195 Physical No Data Definition Exists

3196 Physical 0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

3197 Physical

3198 Physical

3199 Physical

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or Effectiveness

Habitat Quality & Quantity

Velocity Depth Regime

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Visible Runoff from nearby man-made features

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Wall Dike Revetment Dam

Status & Trend or Effectiveness

Habitat Quality & Quantity

Wall/Dike/Revetment/Riprap/Dam

Status & Trend or Effectiveness

Habitat Quality & Quantity

WallDikeRevetmentDam

Status & Trend or Effectiveness

Habitat Quality & Quantity

WallDikeRevetmentDam

Status & Trend or Effectiveness

Habitat Quality & Quantity

WallDikeRevetmentDam

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3200 PhysicalStatus & Trend or Effectiveness

Habitat Quality & Quantity

WallDikeRevetmentDam

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3201 Water Chemistry

Water temperature, dissolved oxygen and conductivity will be logged at five minute intervals for two hours at each site using a YSI meter. Place the meter at the upstream end of the reach unless a tributary enters the reach. If a tributary enters the reach, place the YSI two bankfull widths downstream of the tributary junction. If the tributary enters the reach between Transect A and B, place the YSI in suitable habitat below Transect A.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3202 Physical Water Quality Water chemistry

3203 Physical toxicology Water chemistry

3204 Physical Water Quality Water Clarity

3205 Other Other Water Depth in Culvert water depth inside culvert

3206 Physical Hydrology

3207 Other Other Water Drop measurement from water surface in culvert to water surface after drop

3208 Physical Water Quality Water quality Concentrations of toxics and contaminants.

3209 Physical Water Quality Water Quality Water quality—Average values, maximum and minimum values, number of days that a metric exceeds criteria

3210 Physical Water Quality Water Quality

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

This indicator would report the percentage of lake and reservoir area with low-, medium-, and high-clarity water (ponds are not included because of their shallow depth). A map would show regional patterns of change. (The simplest method for measuring clarity is to lower a standard painted disk (a “Secchi disk”) until it cannot be seen; the clearer the lake or reservoir, the greater the “Secchi depth” (SD). Using this method, ranges for SD would be: low clarity (SD less than 3 feet), medium clarity (SD 3–10 feet), and high clarity (SD greater than 10 feet).)

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Water Discharge/withdrawal

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Effectiveness Monitoring

Estuarine & Nearshore Habitat

Water quality parameters such as temperature, salinity, and dissolved oxygen play a determining role in species abundance and distribution in the CRE (Oregon Watershed Enhancement Board [OWEB] 1999, Johnson et al. 2003). Most organisms have specific tolerances for water parameter ranges or rates of change (fluctuations). For example, temperature is a good predictor of juvenile salmon abundance and condition (OWEB 1999) and salinity is a main determinant of vegetation patterns (Thom et al. 2002). Oxygen concentration can control the distribution of many organisms. We advocate the use of automated data logging multiprobe instruments for measuring time series of water quality parameters. Additional transect surveys with CTD probes provide vertical and horizontal spatial scale data useful to augment the spatially fixed time series data (Callaway et al. 2001).

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3211 Physical Water Quality Water quality- bacteria

3212 Physical Water Quality

3213 Project Type

3214 Project Type

3215 Project Type

3216 Project Type

3217 Project Type

3218 Project Type

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Water quality- dissolved oxygen

Effectiveness Monitoring

Project Tracking

Water Quality Improvement:

Projects that result in an improvement of water quality conditions for example through improved water quality treatment, capture toxic highway runoff, reduction in the use of herbicides, pesticides and fertilizers, and other point sources.

Implementation Monitoring

Project Tracking

Water Quality Improvement:

Projects that result in an improvement of water quality conditions for example through improved water quality treatment, capture toxic highway runoff, reduction in the use of herbicides, pesticides and fertilizers, and other point sources.

Effectiveness Monitoring

Project Tracking

Water Quality Improvement: Refuse Removal

Removal of garbage in the waterway

Pounds of trash collected from stream and wetland areas to nearest 100 pounds.

Implementation Monitoring

Project Tracking

Water Quality Improvement: Refuse Removal

Removal of garbage in the waterway

Pounds of trash collected from stream and wetland areas to nearest 100 pounds.

Effectiveness Monitoring

Project Tracking

Water Quality Improvement: Return Flow Cooling

All projects with a goal of directly reducing or directly limiting increase in water temperature. Most are return flow coolingprojects which generally consist of replacing old open return ditches with underground PVC pipe. The primary benefits are to eliminate nutrient and thermal loading, by filtering flows underground where they cool before returning to the river.Water temp before and after project completion (if at a point source then avg water temp before at after of point source emission) in degrees Celsius to nearest whole degree.

Implementation Monitoring

Project Tracking

Water Quality Improvement: Return Flow Cooling

All projects with a goal of directly reducing or directly limiting increase in water temperature. Most are return flow coolingprojects which generally consist of replacing old open return ditches with underground PVC pipe. The primary benefits are to eliminate nutrient and thermal loading, by filtering flows underground where they cool before returning to the river.Water temp before and after project completion (if at a point source then avg water temp before at after of point source emission) in degrees Celsius to nearest whole degree.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3219 Project Type Clean up of sewage outfall, etc.

3220 Project Type Clean up of sewage outfall, etc.

3221 Project Type

3222 Project Type

3223 Physical Water Quality Water Quality Index Water Quality Index (WQI) (miles or percent of streams with rating of poor, fair, or good WQI)

3224 Physical Water Quality Index

Effectiveness Monitoring

Project Tracking

Water Quality Improvement: Sewage Clean-up

Implementation Monitoring

Project Tracking

Water Quality Improvement: Sewage Clean-up

Effectiveness Monitoring

Project Tracking

Water Quality Improvement: Toxic Clean-up

Clean up/prevention of mine tailings, hebicide, pesticide, toxic sediments, etc.

Name of Toxic species, element or material Total acres, wet and/or dry for each cleaned up to nearest whole acre.

Implementation Monitoring

Project Tracking

Water Quality Improvement: Toxic Clean-up

Clean up/prevention of mine tailings, hebicide, pesticide, toxic sediments, etc.

Name of Toxic species, element or material Total acres, wet and/or dry for each cleaned up to nearest whole acre.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

The parameters listed are compared with values established by the Oregon Department of Environmental Quality (DEQ) from reference conditions or standards. Multiple parameters are combined into one index. (Change in Water Quality Index)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3225 Physical Water Quality Water Quality Index: Temperature, Turbidity, Conductivity, pH, Dissolved Oxygen, Nutrients, Toxic Pollutants and Heavy Metals

3226 Physical Water Quality Water Quality Index: Macro Invertebrate Index

3227 Physical Water Quality

3228 Physical Water Quality Water quality- nutrients

3229 Physical Water Quality Water quality- pH

3230 Physical Water Quality Water quality- salinity

3231 Physical Water Quality

3232 Physical Water Quality Water quality- turbidity

3233 Physical Water Quality Water Quality: Clarity

3234 Physical Water Quality

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Water quality index; comprised of:

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Water quality- temperature

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Water Quality: Conductivity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3235 Physical Water Quality Concentrations of toxics and contaminants

3236 Physical Toxicology

3237 Physical Water Quality

3238 Physical Water Quality Water Quality: Nitrogen

3239 Physical Water Quality

3240 Physical Water Quality Water Quality: pH

3241 Physical Water Quality

3242 Physical Water Quality Water Quality: Salinity

3243 Physical Water Quality See Water Quality: Turbidity

3244 Physical Water Quality

Status & Trend or Effectiveness

Water Quality: Contaminant presence (PAH, DDT, PCB, Pesticide, heavy metals, Toxics

Status & Trend or Effectiveness

Water Quality: Contaminate concentration

PROPERLY FUNCTIONING low levels of chemical contamination from agricultural, industrial and other sources, no excess nutrients, no CWA 303d designated reaches5 AT RISK moderate levels of chemical contamination from agricultural, industrial and other sources, some excess nutrients, one CWA 303d designated reach5 NOT PROPERLY FUNCTIONING high levels of chemical contamination from agricultural, industrial and other sources, high levels of excess nutrients, more than one CWA 303d designated reach5

Status & Trend or Effectiveness

Water Quality: Dissolved Oxygen

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Water Quality: Nutrients

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Water Quality: Phosphorus

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Water Quality: Sediment/Turbidity

Status & Trend or Effectiveness

Water Quality: Temperature

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3245 Physical Water Quality

3246 Physical Water Quality

3247 Physical Water Quality

3248 Physical Hydrology Water Rights Frequency with which instream water rights are being met

3249 Biological Fish Water Temperature Water temperature

3250 Physical Water Quality Water Temperature water temperature at time of sample

3251 Biological Fish Water Temperature Various, mainly Hobo and other temp loggers at screw trap sights and spread out throughout the streams

3252 Biological Fish Water Temperature

3253 Physical Water Quality Water temperature

3254 Physical Water Quality MWMT, MWAT, daily maximum, daily average, and temperature exceedances.

Status & Trend or Effectiveness

Water Quality: Temperature

PROPERLY FUNCTIONING: 50-57° F1; AT RISK ; 57-60° (spawning) 57-64° (migration & rearing)2 NOT PROPERLY FUNCTIONING> 60° (spawning) > 64° (migration & rearing)2

Status & Trend or Effectiveness

Water Quality: Turbidity

Status & Trend or Effectiveness

Water Quality: Turbidity

PROPERLY FUNCTIONING < 12% fines (<0.85mm) in gravel1, turbidity low AT RISK 12-l7% (west-side)1,12-20% (east-side)1, turbidity moderate NOT PROPERLY FUNCTIONING >17% (west-side)1, >20% (east side)1 fines at surface or depth in spawning habitat2, turbidity high

Status & Trend or Effectiveness

Status & Trend or EffectivenessStatus & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Hatchery operational measure (Celsius) , Measured continuously at the hatchery with thermographs and 3 times daily at acclimation facilities with hand-held devices.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Water Temperature , MWMT

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3255 Physical Water Quality MWMT, MWAT, daily maximum, daily average, and temperature exceedances.

3256 Physical Water Quality MWMT, MWAT, daily maximum, daily average, and temperature exceedances.

3257 Physical Water Quality MWMT, MWAT, daily maximum, daily average, and temperature exceedances.

3258 Physical Water Quality MWMT, MWAT, daily maximum, daily average, and temperature exceedances.

3259 Physical Water Quality Water temperatures (°C)

3260 Physical Water Quality Water Type fresh water-lake / salt water-ocean etc.

3261 Physical Hydrology

3262 Biological General Attribute Water_Visibility

3263 Biological General Attribute Water_Visibility

3264 Physical Riparian Condition

3265 Physical Riparian Condition

Status & Trend or Effectiveness

Water Temperature, Daily Average

Status & Trend or Effectiveness

Water Temperature, daily maximum

Status & Trend or Effectiveness

Water Temperature, MWAT

Status & Trend or Effectiveness

Water Temperature, Temperature exceedence

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness Water Withdrawals  

This indicator reports the total amount of surface water and groundwater withdrawn for use in the municipal, rural, industrial, thermoelectric, and irrigation sectors (see the technical note for a description of these categories). Accurate information about the amount of water being used and what it is being used for will help planners and managers make better decisions about the nation’s water resources. Information on water withdrawals can help them assess the effectiveness of alternative water management policies, regulations, and conservation activities and project future demand.

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Waterbody Character Appeal

Status & Trend or Effectiveness

Waterbody Character Appeal

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3266 Physical Riparian Condition

3267 Physical Riparian Condition

3268 Physical Riparian Condition

3269 Physical Riparian Condition

3270 Physical Riparian Condition

3271 Physical Riparian Condition

3272 Physical Riparian Condition

3273 Physical Riparian Condition

Status & Trend or Effectiveness

Waterbody Character Appeal

Status & Trend or Effectiveness

Waterbody Character Appeal

Status & Trend or Effectiveness

Waterbody Character Appeal

Status & Trend or Effectiveness

Waterbody Character Condition

Status & Trend or Effectiveness

Waterbody Character Condition

Status & Trend or Effectiveness

Waterbody Character Condition

Status & Trend or Effectiveness

Waterbody Character Condition

Status & Trend or Effectiveness

Waterbody Character Condition

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3274 Physical Hydrology

3275 Physical Watershed Area total area of watershed in kilometers

3276 Physical Road Crossing

3277 Physical Mass Wasting index, Riparian Quality Index, Water quality Index, Stream Flow

Status & Trend or Effectiveness

Waterborne Human Disease Outbreaks   This indicator reports the number of disease outbreaks—which generally means at least two people getting sick—attributed to drinking water that is untreated or where treatment has failed to remove disease-causing organisms, or to swimming or other recreational contact at lakes, streams, and rivers (see coastal recreational water quality).

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Environmental Condition

Watershed condition and fish population metrics identified above.

Status & Trend or Effectiveness

Environmental Condition

Watershed condition metrics identified above

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3278 other other Watershed Name name of watershed

3279 Number of watershed plans and assessments completed & Number of recovery or restoration plans completed

3280 Biological General Attribute Wave Form

3281 Biological General Attribute Wave Form

3282 Biological General Attribute Wave Form

3283 Physical Weather description of weather at time of sample

3284 other other Weir Type material out of which the weir is constructed out of

3285 other other Weirs, Number of number of weirs present in fishway

3286 Physical Wetland Connectivity Total area of wetlands and eelgrass beds within 1 mile of site, excluding the site itself.

3287 Wetland acres treated

3288 Physical topography

3289 Physical Hydrology

3290 Physical sediment

Status & Trend or Effectiveness

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring

Watershed planning and assessment projects

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Effectiveness Monitoring

Project Tracking

Effectiveness Monitoring Wetland habitat projects

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Wetland surface- elevation

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Wetland surface- frequency of tidal flooding

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Wetland surface- sediment accretion/erosion

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3291 Physical Wetland Vegetation

3292 Physical Wetted width

3293 Physical Wetted Width average width of stream through selected reach

3294 Physical Wetted Width measure at 0,5 and 7 pts of each transect for width of stream through selected reach

3295 Physical Wetted Width No Data Definition Exists

3296 Physical Wetted Width 25% 25 % of total wetted width measured from LB

3297 Physical Wetted Width 50% 50 % of total wetted width measured from LB

3298 Physical Wetted Width 75% 75 % of total wetted width measured from LB

3299 Physical Wetted Width Right Bank Right bank of stream measured from LB

3300 Physical Wetted Width: Depth RB depth at right bank

3301 Physical Wetted Width: Depth 25% depth at 25% from left bank

3302 Physical Wetted Width: Depth 50% depth at 50% from left bank

3303 Physical Wetted Width: Depth 75% depth at 75% from left bank

3304 Physical Wetted Width: Depth LB depth at left bank

3305 Physical Width width of stream for individual section

Status & Trend or Effectiveness

Habitat Quality & Quantity

Acreage & locationof wetlands by HGM type

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3306 Physical Width to Depth Ratio

3307 Physical Width to Depth Ratio

3308 Physical Species Wildlife

3309 Physical Wind Direction

3310 Physical Wind Speed

3311 Biological Fish Within Population Genetics genetic variability within populations

3312 Physical Wood Covered Pools percentage of pools with wood cover

3313 Physical Woody browse

3314 Woody debris Woody debris comprise the larger pieces of wood that can influence cover and stream morphology.

3315 Physical Woody regeneration

3316 Physical Woody Shrubs 0 = Absent, 1= Sparse, 2 = Moderate, 3 = Heavy, 4 = Very Heavy

3317 Physical WoodyDebris

3318 Physical WoodyDebris

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

PROPERLY FUNCTIONING: <102,4 AT RISK 10-12 (we are unaware of any criteria to reference) NOT PROPERLY FUNCTIONING >12 (we are unaware of any criteria to reference)

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Environmental Condition

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3319 Physical WoodyDebris

3320 Physical WoodyDebris

3321 Physical WoodyDebris

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

Status & Trend or Effectiveness

Habitat Quality & Quantity

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3322 Biological Fish Year class The component of adult fish that return in any one particular year

3323 Biological Other Zooplankton

3324 Biological Plankton Zooplankton Index

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3325 Physical Species

3326 Physical Blank

3327 Physical Blank

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3328 Physical Blank

3329

3330 all Site

Status & Trend or Effectiveness

Estuarine & Nearshore Habitat

General Attribute

Site- a specific geographic location (e.g., subbasin, watershed, reach) for which monitoring data will be collected using one or more specified (approved?) methods.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3331 Research Uncertainty Research:

3332 all Raw Data Data that enters the data flow

3333 all Metric

General Attribute

Uncertainty Research: Systematic observation of phenomena for the purpose of learning new facts or testing the application of scientific theories & hypothesis to known facts related to the unknown correlations in biological and ecological processes and functions; -- also called scientific research. (This is the research part of the phrase "research and development" (R&D). "Development" is the application of the results into products for management.

General Attribute

General Attribute

Metric/Attribute/Measure/Variable – the name that represents a quantitative field measurement or summary value, or a qualitative descriptor that represents a field observed condition, or its summary.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3334 all Summary Metric

3335 all Derived Metric Transformed metric (combinations of metrics to form new metrics or an indicator)

3336 all Indicator

General Attribute Summary metric - min, mean, max (condense data)

General Attribute

General Attribute

A surrogate of variables informing status and condition and trend of a resource representing ecological processes

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3337 all Indicator Group a collection of indicators

3338 all Performance Measure

3339 all Benchmark

General Attribute

General Attribute

A quantitative or qualitative tool used to assess a particular indicator, value or characteristic designated to measure input, output, outcome, efficiency, or effectiveness or the range of success a program has had in achieving its stated objectives, goals, and planned program activities.

General Attribute

Benchmark – A benchmark is a reference point or standard against which progress or achievements may be compared. (Synonymous with Goal)

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3340 all Trigger

3341 all See: Method

3342 all Method

General Attribute

Trigger- An event or result that precipitates the release or activates a mechanism for changing the current strategy by adaptive management.

General Attribute

Standard Operating Procedure (SOP

General Attribute

Method – a systematic procedure for collecting data for one or more attributes defining what to measure or observe and how to measure or how to describe an observation; or a systematic procedure for processing field-collected data values into summary attributes. Methods have the following characteristics: 1) described in documentation, 2) repeatable by others. Attributes: This would need two attributes: Current Reference Name (Common Name) and the bibliographical Reference.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3343 all Protocol

3344 all Retired protocols Retired protocols - protocols that are not in production

3345 all Production protocols

General Attribute

Protocol – a name that refers to a collection of one or more methods compiled by a researcher, monitoring agency, or similar entity used to implement a field monitoring event. A method becomes a protocol when it is applied to a set of sites within a geographic location. Attributes: This would need two attributes:, Current Reference Name (Common Name) and the bibliographical Reference.

General Attribute

General Attribute

Production protocols (active, development)- protocols that are in use and under development

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3346 all Program

3347 all Project

3348 all Site

General Attribute

Program – a name that refers to a collection of projects using a consistent set of protocols to collect monitoring data for sites in multiple geographic locations in response to a research question, or to meet an agency mission or mandate.

General Attribute

Project – a name that refers to a collection of monitoring sites in a specific geographic location (e.g., subbasin, watershed, reach) for which monitoring data will be collected using one or more specified (approved?) protocols.

General Attribute

Site- a specific geographic location (e.g., subbasin, watershed, reach) for which monitoring data will be collected using one or more specified (approved?) methods.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3349 all Raw data

3350 all Historical data

3351 all Contemporary data

General Attribute

Raw data – metrics and indicators that enters the data flow for a qualitative or quantitative assessment,

General Attribute

Historical data – data collected using a retired protocol. These are usually accompanied by very poor metadata and were not initially stored in modern databases.

General Attribute

Contemporary data - data collected using active protocols and initially in modern databases.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3352 Status and Trend

3353 Validation Monitoring

3354 Effectiveness Monitoring

General Attribute

Status and Trend Monitoring

Status and Trend Monitoring—Status monitoring is used to characterize existing or undisturbed conditions and to establish a baseline for future comparisons. The intent of status monitoring is to capture temporal and spatial variability in the parameters of interest. Trend monitoring involves measurements taken at regular time or space intervals in order to assess the long-term or large-scale trend in a particular parameter. Usually, the measurements are not taken specifically to evaluate management practices; rather, they serve to describe changes in the parameter over time or space.

Validation Monitoring

General Attribute

Validation Monitoring—Validation monitoring is research to verify the basic assumptions behind effectiveness monitoring and models . Validation monitoring is used to assess the assumed linkage between implementation, compliance and effectiveness monitoring indicators, and the assumed indirect linkages between the effectiveness monitoring and the management objectives.

Effectiveness Monitoring

General Attribute

Effectiveness Monitoring—Effectiveness Monitoring evaluates the cause and effect relations between management activities and their direct effect or goal. Success may be measured against “reference areas,” “baseline conditions,” or “desired future conditions.” Effectiveness monitoring can be implemented at the scale of single actions, suites of actions across space, or for an entire strategy consisting of a diversity of actions in a single place.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3355 Compliance Monitoring

3356

3357

Compliance Monitoring

General Attribute

Compliance Monitoring—Compliance monitoring determines whether specified criteria are being met as a direct result of an implemented action. The criteria can be numeric or descriptive, but result from the direct impact of the action, not the indirect impact of the action.

Implementation Monitoring

General Attribute

Implementation Monitoring

Implementation Monitoring—Implementation monitoring is used to ensure that strategies and treatments are implemented in accord with stated management standards and guidelines, and is generally carried out as an administrative review or site visit.

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Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3358

3359

3360

Page 357: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Subject Data Element Name: Data Element Defintition: Data

Element Number:

Type of Monitoring Data:

Subject Group

Ecological Province

3361

3362

3363

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Defined By: Associated Protocol:

Yes Yes Governor's Forum on Monitoring Estuary Workgroup

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes Relative Abundance,

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes NWFSC Salmon Database

Yes Estimated Abundance. NWFSC Salmon Database

Yes Yes Estimated Abundance. NWFSC Salmon Database

Yes Yes PNAMP Monitoring Inventory

Yes Estimated Abundance. NWFSC Salmon Database

Yes NWFSC Salmon Database

PNAMP Monitoring Inventory

Is this Field a Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

" Spawner Abundance & Actual Abundance"

" Spawner Abundance & Actual Abundance"

Page 359: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Land Ownership John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

NOAA Draft Implemetnation Monitoring Data Dictionary

NOAA Draft Implemetnation Monitoring Data Dictionary

NOAA Draft Implemetnation Monitoring Data Dictionary

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

NOAA Draft Implemetnation Monitoring Data Dictionary

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes PNAMP Monitoring Inventory

Yes NWFSC Salmon Database

Yes NWFSC Salmon Database

Yes NWFSC Salmon Database

Yes NWFSC Salmon Database

Yes NWFSC Salmon Database

Yes NWFSC Salmon Database

Yes Battelle LCREP Protocols x

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes x

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes PNAMP Monitoring Inventory

Yes count Bruce Crawford

NOAA Fisheries Robert Kope

CSMEP

Yes PNAMP Monitoring Inventory

Yes

CSMEP

Yes Fork Length PNAMP Monitoring Inventory

Columbia River Estuary Research Monitorign and Evalaution Program

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 363: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Fork Length

CSMEP

Yes

Yes Bruce Crawford

Yes

Yes

Yes Yes Diversity

Yes allele Frequency

Yes allele Frequency

Yes allele Frequency

Yes Yes Diversity

Yes Scale analysis

Yes Scale analysis

CSMEP

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes

Yes

CSMEP

CSMEP

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 365: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

PNAMP Monitoring Inventory

Yes See Temperature, Air PNAMP Monitoring Inventory

Yes FLIR / Temp John Day Data Dictionary

Yes

Yes PNAMP Monitoring Inventory

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Watershed Activities/Disturbances

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Fish Cover

Yes PNAMP Monitoring Inventory

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

South Slough National Estiarine Research Reserve (Survey)

Yes

Governor's Forum on Monitoring Estuary Workgroup

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Oxygen Levels

Yes PNAMP Monitoring Inventory

PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Yes PNAMP Monitoring Inventory

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Macroinvertebrates Summary

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

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PACFISH/INFISH Biological Opinion

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Macroinvertebrates Summary

Macroinvertebrates SummaryMacroinvertebrates Summary

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

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Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

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Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Page 374: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

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Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Macroinvertebrates Summary

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

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Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Macroinvertebrates Summary

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

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Macroinvertebrates Summary

Macroinvertebrates Summary

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Macroinvertebrates Summary

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

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Macroinvertebrates Summary

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Macroinvertebrates Summary

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Page 378: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

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Macroinvertebrates Summary

Macroinvertebrates Summary

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Macroinvertebrates Summary

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Page 379: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

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Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Page 380: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

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Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Page 381: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

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Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Page 382: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Macroinvertebrates Summary

Page 384: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Page 385: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

Macroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates SummaryMacroinvertebrates Summary

Page 386: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

Species at Risk, Plants

Discharge, flow

Macroinvertebrates SummaryMacroinvertebrates Summary

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 387: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Puget Sound Water Quality Action Team.

Yes PNAMP Monitoring Inventory

Yes Yes

Yes Bailey Classification John Day Data Dictionary

Yes Bailey Classification John Day Data Dictionary

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion Streambank

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Riparian Cross Section SpeciesRiparian Cross Section Species

Riparian Vegetation Cross Sections

Riparian Vegetation Cross Sections

Page 388: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion Streambank

Yes PNAMP Monitoring Inventory

Yes NOAA Fisheries (Pathways and Indicators 1996)

Yes PNAMP Monitoring Inventory

Yes Yes Moore et al. (2002)

Yes John Day Data Dictionary

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 391: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Harrelson et al.,1994).

Yes John Day Data Dictionary

Yes Bankfull Width John Day Data Dictionary

Yes Yes Transect John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

Sampling method:1. Measure the bankfull width to the nearest 0.1 meters perpendicular to the main stream channel at 11 equally spaced transects beginning with the first.2. When local bankfull indicators are not present use the height from the water surface to the bankfull elevation defined at channel cross-sections to estimate bankfull.3. When a qualifying secondary channel is present measure the bankfull width of both channels. Do not include the width of the island that is above bankfull.4. Large wood or heavy brush may obstruct a transect. Also at some tight meanders the transect may cross a point bar without intersecting the actual bank (located behind the point bar). Do not take a measurement at these transects.

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Peck et al. (2001)*

Yes PNAMP Monitoring Inventory

Yes John Day Data Dictionary

Yes Yes Width/Depth Ratio John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Width/Depth Ratio John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes NOAA Fisheries (Pathways and Indicators 1996)

Yes PCSRF

Yes WA State of Salmon Report

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 394: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes John Day Data Dictionary

Yes

Yes John Day Data Dictionary

Yes Basin Relief John Day Data Dictionary

Yes

Yes PNAMP Monitoring Inventory

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Bain and Stevenson (1999)

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Bain and Stevenson (1999)

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Stream Assessment Characteristics

Stream Assessment Characteristics

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Bisson and Montgomery (1996)

Page 396: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

The benthic invertebrate protocol is the same as that described by Hawkins et al. (2001). Benthic invertebrate samples should be collected at all sites.

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

Sampling method:These methods were described by C. Hawkins, J. Ostermiller, and M. Vinson (pers. Commun.)21. Collect samples using a Fixed Area Design (0.72 m) from fast water habitats with a 500 μm mesh net. Take invertebrate samples from 4 different fast-water (e.g. riffles, runs) habitat units. Take 2 separate 0.09 m2 fixed-area kick net samples from each unit for a total of 8 samples. If no fast-water habitats occur, take the 8 samples from shallow, slow-water habitat units. Combine the 8 individual samples into a single sample that will be used to represent the study area.2. Place the kick net so the mouth of the net is perpendicular to and facing into the flow of water. If there is no detectable flow, orient the net to most easily facilitate washing benthic material into the net. Collect invertebrates from within the 0.09 m2 sampling frame in front of the net. Work from the upstream edge of the sampling plot backward and carefully pick up and rub stones directly in front of the net to remove attached organisms. Quickly inspect each stone to make sure you have dislodged everything and then set it aside. If a rock is lodged in the stream bottom, rub it a few times concentrating on any cracks or indentations. After removing all large stones, disturb small substrates (i.e. sand or gravel) to a depth of about 10 cm by raking and stirring with your hands. Continue this process until you can see no additional organisms or organic matter being washed into the net. After completing the sample, hold the net vertically (cup down!) and rinse material into the bottom of the cup. If a substantial amount of material is in the net, empty the net into the 14-liter bucket for processing before continuing to the next sample location. Otherwise,move to the next sample location and repeat the above procedure to create a composite sample.3. Field processing requires a 14-liter bucket, a white plastic washtub, and a 500 μm sieve. Use the bucket to decant organisms from inorganic substrates into the sieve. Use the washtub to transfer stream water into the bucket and then to visually inspect inorganic residue for heavy organisms that were not decanted.4. Continue this process until all 8 samples have been collected and placed in the bucket. Make sure you thoroughly wash organisms from the net by vigorously pouring water down the net and into the cup. If the net has a cup at the end, remove the cup over the top of the bucket and wash it out.5. Remove and release from the bucket/washtub/sample jar all vertebrates, including fish and amphibians. Also remove and release crayfish.6. Add water to the bucket and decant invertebrates and organic matter from the sample by stirring the contents of the bucket and then pouring suspended material through the 500-μm sieve. Repeat this process until no additional material can be decanted. Transfer the material in the sieve (invertebrates and organic matter) into the 2-liter sample jar with a small spoon and then wash any remaining material in the sieve into the jar with a squirt bottle. Place the inorganic residue remaining in the bucket into the plastic washtub and cover with water to a depth of 1 cm. Inspect the gravel on the bottom of the tub for any cased caddis flies or other organisms that might remain. Remove any remaining organisms by hand and place in the sample jar.7. Once all samples have been processed, fill the jar/s with 95% EtOH. Immediately label the jars both inside and outside. Preserve this composite sample in 1 or more sample jars depending on the amount of material collected. If there are multiple jars, label them as 1 of 2 and 2 of 2, etc. and then tape them together.

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Reach-Wide Benthos SampleReach-Wide Benthos SampleReach-Wide Benthos SampleReach-Wide Benthos SampleReach-Wide Benthos SampleReach-Wide Benthos SampleReach-Wide Benthos SampleReach-Wide Benthos Sample

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

Yes Yes

Yes PNAMP Monitoring Inventory

Yes

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Status of Freshwater Animal Communities: Fish and Bottom-Dwelling Animals  

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 399: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Fish Cover

Yes

Yes

Yes

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

PFMC Pacific Coast Salmon Plan

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Yes Disturbance: Buildings John Day Data Dictionary

Yes Yes bicatch PFMC Management Plan/ Bruce Crawford

Yes PNAMP Monitoring Inventory

Yes Yes bicatch PFMC Management Plan/ Bruce Crawford

Yes Yes Peck et al. (2001)*

Yes Off Channel Habitat John Day Data Dictionary

John Day Data Dictionary

Method to be determined (DB Transition)Method to be determined (DB Transition)

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

PFMC Pacific Coast Salmon Plan

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)

Page 402: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Visual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian Estimates

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 403: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Bruce Crawford

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

SPAZ (NWFSC Model)

Yes

ODFW Chris Kerns

Yes

Yes CPUE PNAMP Monitoring Inventory

Yes

Yes

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Puget Sound Water Quality Action Team. SAMPLE HANDLING

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 405: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes Harrelson et al.,1994).Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Page 406: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

The elevation change will be measured twice, once upstream (traveling from Transect A-K) and once downstream (traveling from Transect K-A). These two elevation value differences will be averaged and used to calculate the reach gradient. Using the steps listed below, recall the elevation values at both A and K left wetted (from the sideshot screen after the point is shot) and calculate the difference to see if the 2 measurements are within 10% of each other. If they are not within 10%, you will measure the change in elevation a third time traveling from Transect A to K. All elevation values collected will be recorded, but no more than 3 changes in elevation will be measured.

Page 407: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes NOAA Estuary Module

Yes NOAA Estuary Module

Yes Harrelson et al.,1994).

Yes Harrelson et al.,1994).

Yes NOAA Estuary Module

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Page 408: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Reach-Wide Benthos SampleReach-Wide Benthos SampleReach-Wide Benthos SampleReach-Wide Benthos Sample

Page 409: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Overton et al. (1997)

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Page 410: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes John Day Data Dictionary

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 411: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Yes Substrate PNAMP Monitoring Inventory

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Rosgen (1996)

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Page 412: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Yes John Day Data Dictionary

Yes John Day Data Dictionary

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 413: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 414: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PNAMP Monitoring Inventory

Yes John Day Data Dictionary

Yes John Day Data Dictionary

CSMEP

Yes John Day Data Dictionary

John Day Data Dictionary

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 415: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes Yes

Yes PNAMP Monitoring Inventory

NOAA Draft Implemetnation Monitoring Data Dictionary

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Habitats, Coastal Living (Coral Reefs, Wetlands, Seagrasses, and Shellfish Beds)

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Abundance (adults or juveniles)

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 416: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes PNAMP Monitoring Inventory

CSMEP

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 417: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Measures waters ability to conduct an electric current and is directly related to the total dissolved salts (ions) in the water.

Yes John Day Data Dictionary

Sample Conductivity John Day Data Dictionary

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Relative Percent Difference (RPD), Conductivity

Page 418: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Page 419: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Puget Sound Water Quality Action Team.

Yes PNAMP Monitoring Inventory

Yes Yes

Yes Yes

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Sediment Contamination?

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Page 420: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes

Expenditures NOAA Draft Implemetnation Monitoring Data Dictionary

Yes PNAMP Monitoring Inventory

Catch Per Hour

Yes Catch Per Unit Effort PNAMP Monitoring Inventory

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Page 421: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes PNAMP Monitoring Inventory

PNAMP Monitoring Inventory

Yes Yes

Yes PNAMP Monitoring Inventory

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Page 422: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

dam height John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes John Day Data Dictionary

Yes Diversion Dams John Day Data Dictionary

PNAMP Monitoring Inventory

Yes John Day Data Dictionary

NOAA Draft Implemetnation Monitoring Data Dictionary

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Largest Legacy Tree Visible

Largest Legacy Tree Visible

Largest Legacy Tree Visible

Page 423: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Yes

Yes

Yes

Yes

Yes

Largest Legacy Tree Visible

Largest Legacy Tree Visible

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Page 424: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Page 425: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Canopy Cover MeasurementsCanopy Cover MeasurementsCanopy Cover MeasurementsCanopy Cover MeasurementsCanopy Cover MeasurementsCanopy Cover Measurements

Page 426: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

PNAMP Monitoring Inventory

elevation, bathymetry PNAMP Monitoring Inventory

Yes Schuett-Hames (1999)

Groundwater Depth

Yes Fishways John Day Data Dictionary

Yes

Yes

Washington Department of Ecology Large Woody Debris

Washington Department of Ecology Large Woody Debris

Canopy Cover MeasurementsCanopy Cover MeasurementsCanopy Cover Measurements

See: elevation or bathymetry.

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 427: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Large Woody Debris

Washington Department of Ecology Large Woody Debris

Washington Department of Ecology Large Woody Debris

Washington Department of Ecology Large Woody Debris

PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes Sample_Point John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Transport, Stream Flow John Day Data Dictionary

Yes Transport, Stream Flow John Day Data Dictionary

Page 428: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Transport John Day Data Dictionary

Yes Transport John Day Data Dictionary

Yes Transport John Day Data Dictionary

CSMEP

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes

Disolved Oxegen

Yes PNAMP Monitoring Inventory

Yes Yes Puget Sound Water Quality Action Team.

YTD

Winkler

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftStatus Trend & Effectiveness Monitoring (STEM Databank) NWFSC

DO (dissolved oxygen), Intergrate DO, DO saturation

SAMPLING PROCEDURES FOR MARINE WATER

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 429: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes

Yes Transect John Day Data Dictionary

Yes Sample_Point John Day Data Dictionary

Yes Streamflow John Day Data Dictionary

Yes Depth Fines John Day Data Dictionary

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes Peck et al. (2001)*

Yes NOAA Fisheries (Pathways and Indicators 1996)

Yes Disturbance John Day Data Dictionary

Yes Disturbance John Day Data Dictionary

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 430: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Disturbance John Day Data Dictionary

Disturbance John Day Data Dictionary

Disturbance John Day Data Dictionary

Disturbance John Day Data Dictionary

John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Disturbance John Day Data Dictionary

Yes

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes John Day Data Dictionary

Yes John Day Data Dictionary

Yes Yes John Day Data Dictionary

Yes John Day Data Dictionary

Row Crops, Disturbance

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

WDFW (2000) (Write Full Citation)

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Page 431: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

John Day Data Dictionary

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Yes John Day Data Dictionary

Sample Type John Day Data Dictionary

Yes John Day Data Dictionary

Yes John Day Data Dictionary

Yes John Day Data Dictionary

Yes Basin Area John Day Data Dictionary

Basin Area John Day Data Dictionary

DO (dissolved oxygen), Intergrate DO, DO saturation

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

Disolved Oxegen Percent

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 432: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Drainage Density John Day Data Dictionary

Yes

Yes NOAA Fisheries (Pathways and Indicators 1996)

Yes PNAMP Monitoring Inventory

Yes

Yes

Governor's Forum on Monitoring Estuary Workgroup

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Bain and Stevenson (1999)

Number and Duration of Dry Periods in Grassland/Shrubland Streams and Rivers  

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Bain and Stevenson (1999)

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Bain and Stevenson (1999)

Page 433: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

South Slough National Estiarine Research Reserve (Survey)

Yes PNAMP Monitoring Inventory

CSMEP

Yes

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Page 434: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

John Day Data Dictionary

John Day Data Dictionary

Yes Overton et al. (1997)

PNAMP Monitoring Inventory

yes

Yes PNAMP Monitoring Inventory

John Day Data Dictionary

Basin Relief John Day Data Dictionary

Basin Relief John Day Data Dictionary

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

(Bathymetry and Topography)

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006

Roegner et al. Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary

Page 435: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Basin Relief John Day Data Dictionary

Basin Relief John Day Data Dictionary

Basin Relief John Day Data Dictionary

Basin Relief John Day Data Dictionary

Yes

Yes

Yes Peck et al. (2001)*

Embeddedness John Day Data Dictionary

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 436: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology HQ-Embeddedness

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 437: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 438: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Page 439: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Yes John Day Data Dictionary

PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

Page 440: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

South Slough National Estiarine Research Reserve (Survey)

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

John Day Data Dictionary

John Day Data Dictionary

Yes

Yes

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Page 441: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Page 442: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Fishways John Day Data Dictionary

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Page 443: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Page 444: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

ODFW Chris Kerns

CDFG CA View Creek

NOAA Fisheries

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Habitat Parameter **Glide/Pools

Page 445: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

WDFW Coweeman

WDFW Coweeman

WDFW Cowlitz

WDFW Cowlitz

Michael Moore NOAA fisheries in Santa Cruz

Yes John Day Data Dictionary

Yes John Day Data Dictionary

Yes PFMC Management Plan/ Bruce Crawford

WDFW

Yes

Spawner Abundance (Escapement)

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

PFMC Pacific Coast Salmon Plan

Spawner escapement goals, procedures to modify spawner goals andin season modification of daily bag limits (50 FR 812, Jan. 7, 1985)

PFMC Pacific Coast Salmon Plan

Page 446: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Nez Perce Tribe presentation

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes

Yes NOAA Estuary Module

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 447: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes NOAA Estuary Module

Governor's Forum on Monitoring Estuary Workgroup

Goals NOAA Draft Implemetnation Monitoring Data Dictionary

Yes NOAA Fisheries

NOAA Fisheries

NOAA Fisheries

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Page 448: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes PFMC Management Plan/ Bruce Crawford

WDFW

Yes Yes

Yes Bailey Classification John Day Data Dictionary

Yes PNAMP Monitoring Inventory

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Abundance (adults or juveniles)

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 449: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes John Day Data Dictionary

Yes Yes Diversity

CSMEP

Yes PNAMP Monitoring Inventory

CSMEP

Puget Sound Water Quality Action Team.

Yes John Day Data Dictionary

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 450: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Puget Sound Water Quality Action Team.

Puget Sound Water Quality Action Team.

PNAMP Monitoring Inventory

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Yes PNAMP Monitoring Inventory

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 451: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Governor's Forum on Monitoring Estuary Workgroup

Yes Yes John Day Data Dictionary

South Slough National Estiarine Research Reserve (Survey)

CSMEP

Yes Peck et al. (2001)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

Yes PNAMP Monitoring Inventory

Yes

Yes Barriers

Yes PNAMP Monitoring Inventory

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Abundance / Distribution

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Page 452: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes WA State of Salmon Report

Yes

Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 453: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 454: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 455: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 456: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

CSMEP

Yes PNAMP Monitoring Inventory

Yes

South Slough National Estiarine Research Reserve (Survey)

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 457: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

South Slough National Estiarine Research Reserve (Survey)

Yes

yes yes

Yes

Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006

Roegner et al. Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 458: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Passage Operation

Yes Fishways John Day Data Dictionary

Yes WDFW (2000)

Yes John Day Data Dictionary

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

PNAMP Monitoring Inventory

Yes NOAA Fisheries (Pathways and Indicators 1996)

Yes

Yes

Yes

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Neutral Bouyant ObjectNeutral Bouyant ObjectNeutral Bouyant Object

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 459: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Turbidity John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes

Yes PNAMP Monitoring Inventory

Yes NOAA Fisheries (Pathways and Indicators 1996)

Yes

Yes Yes Peck et al. (2001)

Governor's Forum on Monitoring Estuary Workgroup

Yes

Yes

Yes PNAMP Monitoring Inventory

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Page 460: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

LWD (pieces/km) John Day Data Dictionary

Yes PNAMP Monitoring Inventory

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 461: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes Yes Diversity

Yes Yes Diversity

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Page 462: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Page 463: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Visual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian Estimates

Page 464: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Yes John Day Data Dictionary

Yes

CSMEP

Visual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian Estimates

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 465: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes Overton et al. (1997)

Yes

Yes Yes

Yes Yes Productivity

Yes PNAMP Monitoring Inventory

Washington Department of Ecology Site Coordinates

Washington Department of Ecology Site Coordinates

Yes Site Information John Day Data Dictionary

Yes Site Information John Day Data Dictionary

Yes Transect John Day Data Dictionary

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Abundance (adults or juveniles)

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Page 466: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes John Day Data Dictionary

Yes Site Verification John Day Data Dictionary

Yes Transect John Day Data Dictionary

Yes John Day Data Dictionary

Yes Site Verification John Day Data Dictionary

Yes Site Verification John Day Data Dictionary

Yes John Day Data Dictionary

Yes Site Verification John Day Data Dictionary

Yes John Day Data Dictionary

Fishways John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Depth Fines John Day Data Dictionary

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 467: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

John Day Data Dictionary

John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Governor's Forum on Monitoring Estuary Workgroup

South Slough National Estiarine Research Reserve (Survey)

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Depth to Shallow Groundwater  

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

( Temperature, Water, ) Water Temperature, Water Quality Temperature,

Page 468: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes Connectivity

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Dominant Substrate John Day Data Dictionary

Yes Habitat Classification

Yes PNAMP Monitoring Inventory

Off Channel Habitat John Day Data Dictionary

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Coastal Living Habitats (Coral Reefs, Wetlands, Seagrasses, and Shellfish Beds)

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 469: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Catch ODFW Chris Kerns

Yes PNAMP Monitoring Inventory

Yes

CSMEP

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

CDFG CA View Creek

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 470: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes PNAMP Monitoring Inventory

CSMEP

CSMEP

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 471: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

CSMEP

Yes

Yes

NWFSC Salmon Database

Yes PNAMP Monitoring Inventory

Yes

Yes

CSMEP

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

PFMC Pacific Coast Salmon Plan

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 472: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

CSMEP

Yes PNAMP Monitoring Inventory

PNAMP Monitoring Inventory

Yes

Yes PNAMP Monitoring Inventory

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Page 473: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

dam height John Day Data Dictionary

Yes Yes Diversity

Yes PNAMP Monitoring Inventory

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Page 474: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Puget Sound Water Quality Action Team. SAMPLE HANDLING

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes

Yes

Yes

Yes

Yes

Yes

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Page 475: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Yes

Yes

Yes

Yes Relative Humidity John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes

Yes PNAMP Monitoring Inventory

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Page 476: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Omernik Classification John Day Data Dictionary

Yes Bailey Classification John Day Data Dictionary

yes yes Water Elevation

Yes PNAMP Monitoring Inventory

Yes Turbine Operation

Governor's Forum on Monitoring Estuary Workgroup

ODFW Chris Kerns

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes PNAMP Monitoring Inventory

Total Impervious Area

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006

Roegner et al. Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 477: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Bankfull Width John Day Data Dictionary

PNAMP Monitoring Inventory

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

PFMC Pacific Coast Salmon Plan

Page 478: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes PNAMP Monitoring Inventory

Yes

Yes

CSMEP

CSMEP

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Cold Water Index of Biologic Integrity

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 479: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

Page 480: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

CSMEP

Yes PNAMP Monitoring Inventory

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

CSMEP

Yes Yes

Watershed Activities/Disturbances

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 482: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 483: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 484: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 486: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 487: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Drainage Density John Day Data Dictionary

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Puget Sound Water Quality Action Team.

Yes PNAMP Monitoring Inventory

Yes

Yes PNAMP Monitoring Inventory

Transport John Day Data Dictionary

Governor's Forum on Monitoring Estuary Workgroup

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Grab Samplers, Coring Devices & Dredging Equipment

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Invasive Species, Non-Native Species, Exotic Species

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Invasive Species, Non-Native Species, Exotic Species

Invasive Species, Non-Native Species, Exotic Species

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

CSMEP

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

CSMEP

CSMEP

Yes PNAMP Monitoring Inventory

Yes

Yes Yes Productivity

Yes

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 492: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

CSMEP

Yes PNAMP Monitoring Inventory

CSMEP

Yes PNAMP Monitoring Inventory

CSMEP

Yes PNAMP Monitoring Inventory

Yes

Yes

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Governor's Forum on Monitoring Estuary Workgroup

John Day Data Dictionary

Puget Sound Water Quality Action Team.

Puget Sound Water Quality Action Team.

Puget Sound Water Quality Action Team.

Laboratory Cleaning of Sample Containers

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Laboratory Cleaning of Sample Containers

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Laboratory Cleaning of Sample Containers

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 494: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Puget Sound Water Quality Action Team.

Puget Sound Water Quality Action Team.

Yes PNAMP Monitoring Inventory

Yes

Yes PNAMP Monitoring Inventory

Yes

Yes John Day Data Dictionary

Laboratory Cleaning of Sample Containers

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Laboratory Cleaning of Sample Containers

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes John Day Data Dictionary

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Omernik Classification John Day Data Dictionary

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Bailey Classification John Day Data Dictionary

Yes Yes Parmenter et al. (2003)

Yes Omernik Classification John Day Data Dictionary

Yes

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)

Page 497: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Misc. ATTRIBUTES in Transition

Yes Disturbance John Day Data Dictionary

yes yes

Yes

Yes

Yes

Method to be determined (DB Transition)

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006

Roegner et al. Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

Sampling method:1. In order to be counted, each piece must meet the following criteria.a. Each piece must be greater than 3 meter in length and at least 30 cm in diameter one-third of the way up from the base.b. Only include standing trees that lean within the bankfull channel if they are dead. Dead trees are defined as being devoid of needles or leaves. Consider it living if any part is alive (Fig. 8).c. Wood that is imbedded within the stream bank is counted if the exposed portion meets the length and width requirements (Fig. 9).d. Do not count a piece if only the roots (but not the stem/bole) extend within the bankfull channel.e. Some pieces crack or break when they fall. Count the entire length of the piece when the two pieces are still connected at any point along the break, and only the portion within the bankfull channel when they are no longer connected (Fig. 8).2. Record the piece number, estimated length (nearest 10 cm), and estimated width (nearest cm) of all pieces in the reach. The same person will make all estimates for a given reach.3. Also measure the length (nearest 10 cm) and diameter (nearest cm) of the first 10 pieces beginning at the downstream end of the reach. The person estimating should not be made aware of the measured value.4. A subset of pieces will be measured at sites with more than 10 pieces.a. For sites estimated to have between 11 and 100 pieces, measure the first ten pieces, then starting at the 11th piece only measure every 5th piece.b. For sites estimated to have over 100 pieces, measure the first ten pieces, then starting at the 11th piece only measure every 10th piece.5. Measure the length of the main stem and not branches or roots. Begin measurements where the roots attach to the base of the stem when the roots are still connected.6. Do not measure (just estimate) standing dead trees, pieces buried in log jams, or pieces that are unsafe to measure.7. Begin counting from the bottom up when pieces are stacked on each other.8. For wood in secondary channels, see Fig. 3 to determine what large wood to count.

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

1. In order to be counted, each piece must meet the following criteria.a. Each piece must be greater than 3 meter in length and at least 30 cm in diameter one-third of the way up from the base, or largest end.b. Only include standing trees that lean within the bankfull channel if they are dead. Dead trees are defined as being devoid of needles or leaves, or where all of the needles and leaves have turned brown. Consider it living if the leaves or needles are green.Note: Use caution when assessing the condition of a tree or fallen log. Nurse logs can appear to have living branches when seedlings or saplings are growing on them.c. Wood that is imbedded within the stream bank is counted if the exposed portion meets the length and width requirements (Fig. 16).d. Do not count a piece if only the roots (but not the stem/bole) extend within the bankfull channel (See Figure 16).e. Some pieces crack or break when they fall. Include the entire length when the two pieces are still touching at any point along the break (Only count as one piece if they are from the same original piece of wood). Treat them separately if they are no longer touching along the break. Count only the portion within the bankfull channel when they are no longer touching (See Figures 15 &18).2. Record the piece number, estimated length (nearest 10 cm), and estimated width (nearest cm) of all pieces in the reach. The same person will make all estimates for a given reach.3. Also measure the length (nearest 10 cm) and diameter (nearest cm) of the first 10 pieces you encounter. The person estimating should not be made aware of the measured value.4. A subset of pieces will be measured at sites with more than 10 qualifying pieces of wood.a. For sites estimated to have between 11 and 100 pieces, measure the first 10 pieces of wood encountered. Starting at piece number 11, measure every 5th piece of wood up to and including the 35th piece of wood. All subsequent pieces of wood will be measured every 10th piece (starting with number 45).b. For sites estimated to have over 100 pieces, measure the first ten pieces, then starting at the 11thth piece only measure every 10 piece.5. Measure the length of the main stem and not branches or roots. Begin measurements where the roots attach to the base of the stem when the roots are still connected.6. Do not measure (just estimate) standing dead trees, pieces buried in log jams, or pieces that are unsafe to measure.7. Begin counting from the bottom up when pieces are stacked on each other.8. For wood in qualifying side channels, count only the pieces that are within bankfull.9. Percent of the wood submerged at bankfull is an estimate of how much of the piece of wood will be underwater when the stream reaches its bankfull height.10. Number of pieces touching, wood location and wood type will be collected and recorded. Evaluate wood location relative to the bankfull channel (See Table 4 and Figure 19).

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

South Slough National Estiarine Research Reserve (Survey)

PNAMP Monitoring Inventory

Yes Yes BURPTAC (1999)*

Yes NOAA Fisheries (Pathways and Indicators 1996)

LWD

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes GPS Latitude John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Diversion Dams John Day Data Dictionary

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

CSMEP

Yes Riparian-Road Index John Day Data Dictionary

Yes John Day Data Dictionary

Yes Main Channel Length John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Omernik Classification John Day Data Dictionary

Land Use John Day Data Dictionary

Omernik Classification John Day Data Dictionary

Land Use John Day Data Dictionary

Omernik Classification John Day Data Dictionary

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Watershed Road Density

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 502: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Limiting factors are the physical, biological, or chemical features (e.g., inadequate spawning habitat, high water temperature, insufficient prey resources) experienced by thNOAA Draft Implemetnation Monitoring Data Dictionary

Yes

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Fish Cover

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

John Day Data Dictionary

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Disturbance John Day Data Dictionary

Yes GPS Longitude John Day Data Dictionary

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Temperatur, Logger, MWMT/MDMT

Phab-ChanCS-VisualRiparianPhab-ChanCS-VisualRiparianPhab-ChanCS-VisualRiparianPhab-ChanCS-VisualRiparianPhab-ChanCS-VisualRiparian

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Site Layout John Day Data Dictionary

Yes Site Layout John Day Data Dictionary

Yes Site Layout John Day Data Dictionary

Yes Site Layout John Day Data Dictionary

PNAMP Monitoring Inventory

Yes Yes LWD (pieces/km) John Day Data Dictionary

CSMEP

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

Sampling method:These methods were described by C. Hawkins, J. Ostermiller, and M. Vinson (pers. Commun.)1. Collect samples using a Fixed Area Design (0.72 m2) from fast water habitats with a 500 μm mesh net. Take invertebrate samples from 4 different fast-water (e.g. riffles, runs) habitat units. Take 2 separate 0.09 m2 fixed-area kick net samples from each unit for a total of 8 samples. If no fast-water habitats occur, take the 8 samples from shallow, slow-water habitat units. Combine the 8 individual samples into a single sample that will be used to represent the study area.2. Place the kick net so the mouth of the net is perpendicular to and facing into the flow of water. If there is no detectable flow, orient the net to most easily facilitate washing benthic material into the net. Collect invertebrates from within the 0.09 m2 sampling frame in front of the net. Work from the upstream edge of the sampling plot backward and carefully pick up and rub stones directly in front of the net to remove attached organisms. Quickly inspect each stone to make sure you have dislodged everything and then set it aside. If a rock is lodged in the stream bottom, rub it a few times concentrating on any cracks or indentations. After removing all large stones, disturb small substrates (i.e. sand or gravel) to a depth of about 10 cm by raking and stirring with your hands. Continue this process until you can see no additional organisms or organic matter being washed into the net. After completing the sample, hold the net vertically (cup down!) and rinse material into the bottom of the cup. If a substantial amount of material is in the net, empty the net into the 14-liter bucket for processing before continuing to the next sample location. Otherwise, move to the next sample location and repeat the above procedure to create a composite sample.3. Field processing requires a 14-liter bucket, a white plastic washtub, and a 500 μm sieve. Use the bucket to decant organisms from inorganic substrates into the sieve. Use the washtub to transfer stream water into the bucket and then to visually inspect inorganic residue for heavy organisms that were not decanted.4. Continue this process until all 8 samples have been collected and placed in the bucket. Make sure you thoroughly wash organisms from the net by vigorously pouring water down the net and into the cup. If the net has a cup at the end, remove the cup over the top of the bucket and wash it out.5. Add water to the bucket and decant invertebrates and organic matter from the sample by stirring the contents of the bucket and then pouring suspended material through the 500-μm sieve. Repeat this process until no additional material can be decanted. Transfer the material in the sieve (invertebrates and organic matter) into the 2-liter sample jar with a small spoon and then wash any remaining material in the sieve into the jar with a squirt bottle. Place the inorganic residue remaining in the bucket into the plastic washtub and cover with water to a depth of 1 cm. Inspect the gravel on the bottom of the tub for any cased caddis flies or other organisms that might remain. Remove any remaining organisms by hand and place in the sample jar.6. Before preservation, remove and release from the bucket/washtub/sample jar all vertebrates, including fish and amphibians. Also remove and release crayfish.7. Once all samples have been processed, fill the jar/s with 95% EtOH. Immediately label the jars both inside and outside. Preserve this composite sample in 1 or more sample jars depending on the amount of material collected. If there are multiple jars, label them as 1 of 2 and 2 of 2, etc. and then tape them together.

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes PNAMP Monitoring Inventory

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Yes Length, Main Channel John Day Data Dictionary

Yes Stream Order John Day Data Dictionary

Yes

CSMEP

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes PNAMP Monitoring Inventory

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Transport John Day Data Dictionary

Yes PNAMP Monitoring Inventory

PNAMP Monitoring Inventory

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Governor's Forum on Monitoring Estuary Workgroup

Governor's Forum on Monitoring Estuary Workgroup

Yes PNAMP Monitoring Inventory

Governor's Forum on Monitoring Estuary Workgroup

Governor's Forum on Monitoring Estuary Workgroup

Toxicology Puget Sound Water Quality Action Team.

Toxicology Puget Sound Water Quality Action Team. Water Column

SAMPLING PROCEDURES FOR MARINE WATER

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PFMC Management Plan/ Bruce Crawford

Yes MWMT/MDMT John Day Data Dictionary

Technical Recovery Teams

Yes Depth Fines John Day Data Dictionary

Yes Streamflow John Day Data Dictionary

Yes MWMT/MDMT John Day Data Dictionary

Yes MWMT/MDMT John Day Data Dictionary

Yes MWMT/MDMT John Day Data Dictionary

Yes MWMT/MDMT John Day Data Dictionary

Yes Yes

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

Abundance (adults or juveniles)

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Abundance (adults or juveniles)

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Toxicology Puget Sound Water Quality Action Team.SAMPLING PROCEDURES FOR MARINE WATER

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Toxicology Puget Sound Water Quality Action Team.

This would need two attributes, Current Refernce Name (Common Name) and the bibliographical Reference.

SAMPLING PROCEDURES FOR TISSUE

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Puget Sound Water Quality Action Team.

Yes Yes Toxicology Puget Sound Water Quality Action Team.

Yes

Yes

SAMPLING PROCEDURES FOR MARINE WATER

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

SAMPLING PROCEDURES FOR TISSUE

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Yes Yes Distribution

Yes Yes Distribution

Yes PNAMP Monitoring Inventory

Yes John Day Data Dictionary

Yes NOAA Fisheries

Yes Province John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Disturbance John Day Data Dictionary

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftLower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Yes PNAMP Monitoring Inventory

NOAA Draft Implemetnation Monitoring Data Dictionary

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

Locate a distinct feature near the bottom of the reach that will be easily identified by the next survey crew.a. Something relatively permanent such as a piece of large wood near the stream (e.g. a large spanner, snag, or tree).b. Sometimes reach riparian zones are characterized by a continuous patch of vegetation; try to pick something that stands out such as a large clump of sage or one conifer near the start of the reach.2. Attach one of the markers to your chosen spot.a. Use an aluminum nail to attach the marker. Make sure it is clearly visible and facing the stream.b. Place flagging at the top and bottom of the marker. If the tree or log that the marker is attached to is too large to tie flagging around, hang a piece above the marker tying it to the nail or nearby branch.3. Take a GPS reading of the site marker location and record. If the marker is less than 10 meters from the GPS location of Transect A, use the same GPS coordinates for both.4. Next, from the marker location take a compass bearing from the marker to Transect A Left Bank and record in the field data recorder. Record this bearing on the left side of the marker using a permanent pen.5. Measure the distance from the marker to bottom of the reach and record (this will be done using the laser and prism, taking a point at Left Bank and at the marker and GPS locations).• First, take a laser shot of the monument.• Next, take a shot of the GPS unit located at Transect A (when getting average waypoint).• Finally, a shot at left bankfull on Transect A, independent of transect shots.• These points will be labeled as Transect Y.6. Take a picture of the marker location and surrounding distinctive features. This will include a minimum of three pictures; 1) facing Transect A Left Bank standing at the monument 2) facing the monument standing at Transect A Left Bank and 3) a view of the monument from the route a crew will take to approach the site.

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Transect John Day Data Dictionary

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes

Yes

Yes

Yes

South Slough National Estiarine Research Reserve (Survey)

Nitrogen Movement

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

NOAA Fisheries Lower Columbia River Salmon Recovery Plan Supplement

NOAA Fisheries Lower Columbia River Salmon Recovery Plan Supplement

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

PFMC Pacific Coast Salmon Plan

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Governor's Forum on Monitoring Estuary Workgroup

Yes John Day Data Dictionary

Yes MWMT/MDMT John Day Data Dictionary

Yes MWMT/MDMT John Day Data Dictionary

Yes John Day Data Dictionary

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes

Yes

Watershed Road Density

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Movemetn of Nitrogen

Yes Yes

Yes Site Verification John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Site Verification John Day Data Dictionary

Washington Department of Ecology Sample Status

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Invasive Species, Non-Native Species, Exotic Species

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Sample Status

Washington Department of Ecology Sample Status

Washington Department of Ecology Sample Status

Washington Department of Ecology Sample Status

Washington Department of Ecology Sample Status

Washington Department of Ecology Sample Status

Washington Department of Ecology Sample Status

Washington Department of Ecology Sample Status

Washington Department of Ecology Sample Status

Washington Department of Ecology Sample Status

Yes

Yes Structure John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Yes

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

South Slough National Estiarine Research Reserve (Survey)

Yes

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes Pools, Number of John Day Data Dictionary

Yes Redds, Number of John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes smolts, Number of John Day Data Dictionary

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Dry Periods ( Number and Duration) in Grassland/Shrubland Streams and Rivers  

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Weirs, Number of John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

water quality Governor's Forum on Monitoring Estuary Workgroup

Yes

Yes

Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Page 525: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes PNAMP Monitoring Inventory

CSMEP

Yes Yes WFPB (1995)*

Yes NOAA Fisheries (Pathways and Indicators 1996)

South Slough National Estiarine Research Reserve (Survey)

Yes PFMC Management Plan/ Bruce Crawford

Yes PNAMP Monitoring Inventory

Yes Road Crossing John Day Data Dictionary

Yes Yes Puget Sound Water Quality Action Team.

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

SAMPLING PROCEDURES FOR MARINE WATER

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 526: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Toxicology Puget Sound Water Quality Action Team.

Yes

Yes

Yes

Yes

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes

Yes

SAMPLING PROCEDURES FOR TISSUE

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Abundance / Distribution

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 527: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes PNAMP Monitoring Inventory

PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes Yes

Yes Yes

Yes Yes

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 528: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 529: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 530: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes PNAMP Monitoring Inventory

Yes

Yes PFMC Management Plan/ Bruce Crawford

Yes Yes Diversion Dams John Day Data Dictionary

Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Page 531: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Yes

Yes

Yes PNAMP Monitoring Inventory

Disturbance John Day Data Dictionary

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Areas with Depleted Oxygen

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Visual Riparian EstimatesVisual Riparian EstimatesVisual Riparian Estimates

Page 532: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes PNAMP Monitoring Inventory

Visual Riparian EstimatesVisual Riparian EstimatesVisual Riparian Estimates

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 533: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes NOAA Estuary Module

CSMEP

Yes

Yes

Yes

Yes Bruce Crawford

Yes

Disturbance John Day Data Dictionary

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)

Page 534: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Disturbance John Day Data Dictionary

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Land Use John Day Data Dictionary

Land Use John Day Data Dictionary

Land Use John Day Data Dictionary

CSMEP

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 535: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

yes Puget Sound Water Quality Action Team.Grab Samplers, Coring Devices & Dredging Equipment

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 536: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes Yes Diversity

Yes Yes Diversity

Yes Yes Diversity

Yes

pH John Day Data Dictionary

Off Channel Habitat John Day Data Dictionary

Off Channel Habitat John Day Data Dictionary

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

Sampling method:1. Assess surface fines using a 14 x 14 inch grid with 49 evenly distributed intersections. Include the top right corner of the grid and there are a total of 50 intersections.2. Take 3 measurements per pool (See Figure 6).a. Place the bottom edge of the grid upstream from the pool-tail crest a distance equal to 10% of the pool’s length or one meter, whichever is less. Make sure that the grid is parallel to and following the shape of the pool-tail crest.b. Place the center of the grid at 25, 50, and 75% of the distance across the wetted, flowing area of the pool tail.3. Record the number of intersections that are underlain with fine sediment < 2 mm in diameter at the b-axis. Place a 2 mm wide piece of electrical tape on a ruler and use this to assess the particle size at each intersection.4. Aquatic vegetation, organic debris, roots, or wood may be covering the substrate. First attempt to identify the particle size under each intersection. If this is not possible, then record the number of non-measurable intersections.

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

Sampling method:1. Assess surface fines using a 14 x 14 inch grid with 49 evenly distributed intersections. Include the top right corner of the grid and there are a total of 50 intersections.2. Take 3 measurements per pool (See Figure 13).a. Place the bottom edge of the grid upstream from the pool-tail crest a distance equal to 10% of the pool’s length or one meter, whichever is less. Make sure that the grid is parallel to and following the shape of the pool-tail crest. (It is important to note that the pool tail crest is not always exactly perpendicular to the channel, See figure 13 below.)b. Place the center of the grid at 25, 50, and 75% of the distance across the wetted channel, making sure the grid is parallel to and following the shape of the pool-tail crest.c. If a portion of the fines grid lands on substrate 512mm or larger in size, on the b-axis, record the intersections affected as non-measurable intersections (Fig. 14).3. Record the number of intersections that are underlain with fine sediment < 2 mm in diameter at the b-axis. Place a 2 mm wide piece of electrical tape on a ruler and use this to assess the particle size at each intersection.4. Aquatic vegetation, organic debris, roots, or wood may be covering the substrate. First attempt to identify the particle size under each intersection. If this is not possible, then record the number of non-measurable intersections.Note: Your total number of measurements should not exceed 50 total measurements per grid. I.e., You measured 20 fines under the intersections, but 30 intersections were completely covered in thick cover of macrophytes = 50. Therefore, 20 is recorded in the measured section and 30 in the non-measured column of the data sheet.

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Off Channel Habitat John Day Data Dictionary

Off Channel Habitat John Day Data Dictionary

Yes Drainage Density John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Yes

Yes

Yes Yes Puget Sound Water Quality Action Team.

pH John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

SAMPLING PROCEDURES FOR MARINE WATER

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 540: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes PNAMP Monitoring Inventory

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 541: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

1. Turn on your camera and do the following:7a. Verify the image quality is set on “FINE”. Set the top disc to SETUP and use the navigation disc (on the back of the camera) to choose Image Quality menu option. Under this option, select “FINE”.b. Verify the image size is set on “FULL”. Set the top disc to SETUP and use the navigation disc (on the back of the camera) to choose Image Size menu option. Under this option, select “FULL”.c. Make sure that the date/time on the camera is in sync with the date/time on the GPS unit.i. To display the time on the GPS unit go to the Main Menu, scroll down to Setup, and scroll across to Time. The time displayed is the time to set the digital camera to. To do this put the camera in “Setup” mode with the dial on the top of the camera. Press the “Menu” button and use the disc to scroll down to “Date.” Use the disc again to enter the date and time.2. At the beginning of each day, open the screen on the GPS unit that displays the time and take a photo of it with the digital camera. This photo serves as a backup in case the time is set incorrectly on the digital camera.a. On the GPS unit “Acquiring satellites” page, press the Page button once.b. You should now be viewing a screen showing time and date at the bottom with a UTM coordinate of your current position.c. Take a picture of this screen, attempting to minimize glare. Look at the picture on the viewfinder to ensure that the numbers on the GPS unit can be read.3. Take a series of photos standing in the middle of the channel at Transect A. The first photo taken should be of the white board, which will then be placed on the left bank. Take the second picture of the left bank (where the white board is); rotate the camera clockwise 90o to take the next photo, which will be of the downstream view. Repeat 2 more 900 rotations to capture the right bank and the upstream view. Ask all other crew members to stay out of the photos. Gear in the photos is OK as long as it does not move between pictures. Keep gear bundled up to avoid the “yard sale” look.4. The white board should contain the following information:a. Location (i.e., Watershed code name and site number): For Site 3 on the Wadeable Creek you would put “WAD103” WAD903 (603) for QAQC and trendb. Date (Day Month Year): “3 July 2003”c. View: “LB Transect A.”

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

South Slough National Estiarine Research Reserve (Survey)

Yes PNAMP Monitoring Inventory

Yes Site Photographs John Day Data Dictionary

Yes PNAMP Monitoring Inventory

CSMEP

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Disturbance John Day Data Dictionary

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)

Page 543: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

Vegetation PNAMP Monitoring Inventory

Land Ownership John Day Data Dictionary

Yes Road Crossing John Day Data Dictionary

Yes Road Crossing John Day Data Dictionary

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

Page 545: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

1. Pools are depressions in the streambed that are concave in profile, laterally and longitudinally.242. Pools are bounded by a head crest (upstream break in streambed slope) and a tail crest (downstream break in streambed slope).3. Only consider main channel pools where the thalweg runs through the pool, and not backwater pools.4. Pools span at least 90% of the wetted channel width at any one location within the pool.5. Pool length, measured along the thalweg from the head to the pool tail crest, is greater than its width. Pool width is measured perpendicular to the thalweg at the widest point of the pool.6. Maximum pool depth is at least 1.5 times the maximum depth of the pool tail crest.Keep in mind, the water surface gradient of a pool is typically less than the water surface gradient of the adjacent habitat units.

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes NOAA Fisheries (Pathways and Indicators 1996)

Fishways John Day Data Dictionary

Fishways John Day Data Dictionary

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

Sampling method:1. Measure the pool length (nearest 0.1m), maximum depth (nearest cm), and pool tail crest depth (nearest cm) for each pool.2. Measure pool length along the thalweg between the head crest and tail crest.3. The maximum depth represents the deepest point in the pool and is found by probing with a depth rod until the deepest point is located.4. The pool tail crest depth is measured at the maximum depth along the pool-tail crest and is normally (but not always) at the thalweg.5. Measure the pool tail crest depth on dammed pools along the top of the obstruction (mostly LWD) if all flow is going over the obstruction. Conversely, measure to the streambed if some of the water is observed flowing under the obstruction.

Page 548: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

Sampling method:1. Measure the pool length (nearest 0.1m), maximum depth (nearest cm), pool head (nearest cm) and pool tail crest depth (nearest cm) for each pool. Place the prism pole in the deepest spot of the pool tail crest to capture the pool tail crest location and label as “FT”. Proceed up the pool and locate the maximum depth by probing and label this point as “FM”.2. Measure pool length along the thalweg between the tail crest and headcrest.**If a sharp bend in a pool is encountered, capture extra points with the laser and prism. These will be labeled with the two letter longitudinal code that the pool is located in.3. The maximum depth represents the deepest point in the pool and is found by probing with a depth rod until the deepest point is located.4. The pool tail crest depth is measured at the maximum depth along the pool-tail crest and is normally (but not always) at the thalweg.5. Measure the pool tail crest depth on dammed pools along the top of the obstruction (mostly LWD) if all flow is going over the obstruction. Conversely, measure to the streambed if some of the water is observed flowing under the obstruction.

Page 549: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes

Yes NOAA Fisheries (Pathways and Indicators 1996)

Yes John Day Data Dictionary

Yes Pool Quality John Day Data Dictionary

Yes Pool Quality John Day Data Dictionary

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Page 550: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Thalweg Profile

Page 551: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Page 552: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Page 553: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Page 554: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Page 555: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Page 556: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Page 557: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Washington Department of Ecology Thalweg Profile

Page 558: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Off Channel Habitat John Day Data Dictionary

Yes Number of Pools John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes

Yes NOAA Fisheries

NOAA Fisheries

Yes

Yes

Yes

Yes NOAA Fisheries

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hawkins et al. (1993); Overton et al. (1997)

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

Page 559: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

CSMEP

Omernik Classification John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 560: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes NOAA Estuary Module

Yes

Yes

Yes

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

John Day Data Dictionary

CSMEP

CSMEP

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 561: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Puget Sound Water Quality Action Team.

CSMEP

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 562: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes NWFSC Salmon Database

Yes NWFSC Salmon Database

CSMEP

NOAA Draft Implemetnation Monitoring Data Dictionary

NOAA Draft Implemetnation Monitoring Data Dictionary

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

•         

Page 563: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Page 564: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

This would need two attributes, Current Refernce Name (Common Name) and the bibliographical Reference.

Yes

Yes Province John Day Data Dictionary

Yes Province John Day Data Dictionary

Yes Bailey Classification John Day Data Dictionary

Bailey Classification John Day Data Dictionary

Province John Day Data Dictionary

Province John Day Data Dictionary

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Bain and Stevenson (1999)

Page 565: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Puget Sound Water Quality Action Team.

Yes Total Allowable Catch PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Land Ownership John Day Data Dictionary

Yes Yes

John Day Data Dictionary

Valley Bottom Width John Day Data Dictionary

John Day Data Dictionary

Yes Site Layout John Day Data Dictionary

Yes Site Layout John Day Data Dictionary

Pool Quality John Day Data Dictionary

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Abundance (adults or juveniles)

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

Page 566: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

NOAA Draft Implemetnation Monitoring Data Dictionary

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

Page 567: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

CSMEP

Yes PNAMP Monitoring Inventory

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 568: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes NWFSC Salmon Database

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes

Yes

x

x

Yes

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes

Yes

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 569: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes Number of Redds John Day Data Dictionary

yes Puget Sound Water Quality Action Team.

Yes PNAMP Monitoring Inventory

Depth Fines John Day Data Dictionary

Yes NOAA Fisheries (Pathways and Indicators 1996)

Relative Humidity John Day Data Dictionary

John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Grab Samplers, Coring Devices & Dredging Equipment

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Conductivity, Relative Percent Difference (RPD)

Page 570: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

CSMEP

ODFW Chris Kerns

Yes PNAMP Monitoring Inventory

Yes

Yes

CSMEP

Yes

Yes PNAMP Monitoring Inventory

Diversion Dams John Day Data Dictionary

Washington Department of Ecology

Washington Department of Ecology

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Watershed Activities/DisturbancesWatershed Activities/Disturbances

Page 571: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

Page 572: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

Watershed Activities/Disturbances

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

Page 573: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Yes Overton et al. (1997)

Implementing entity NOAA Draft Implemetnation Monitoring Data Dictionary

Yes

Watershed Activities/Disturbances

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Page 574: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006 Cites Johnson G.E., R.M. Thom, A.H. Whiting, G.B. Sutherland, T. Berquam, B.D. Ebberts, N.M. Ricci, J.A. Southard, and J.D. Wilcox. 2003. An Ecosystem-Based Approach to Habitat Restoration Projects with Emphasis on Salmonids in the Columbia River Estuary. PNNL-14412, Prepared for Bonneville Power Administration, Portland, Oregon, Pacific Northwest National Laboratory, Richland, WA.

Page 575: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Puget Sound Water Quality Action Team.

Yes

Yes

Riparian-Road Index John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Page 576: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Yes NOAA Fisheries (Pathways and Indicators 1996)

Riparian-Road Index John Day Data Dictionary

Yes Platts et al. (1983)

Yes PNAMP Monitoring Inventory

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Page 577: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 578: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 579: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 580: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 581: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Vegetation John Day Data Dictionary

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 582: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 583: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes WFC (1998)

Yes Road Crossing, Culvert John Day Data Dictionary

Yes Road Crossing, Culvert John Day Data Dictionary

Yes Road Crossing, Culvert John Day Data Dictionary

Yes Road Crossing, Culvert John Day Data Dictionary

Yes Road Crossing, Culvert John Day Data Dictionary

Yes

John Day Data Dictionary

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Parker (2000); WDFW (2000)

Watershed Road Density

Page 584: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes NOAA Fisheries (Pathways and Indicators 1996)

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Yes Disturbance John Day Data Dictionary

Yes Riparian-Road Index John Day Data Dictionary

Governor's Forum on Monitoring Estuary Workgroup

Yes John Day Data Dictionary

Misc. ATTRIBUTES in Transition

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Disturbance, Row Crops

Method to be determined (DB Transition)

Page 585: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

CSMEP

CDFG CA Klamath

Yes PNAMP Monitoring Inventory

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes Yes Diversity

Yes

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 586: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Yes

Yes

NOAA Draft Implemetnation Monitoring Data Dictionary

PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes Yes Puget Sound Water Quality Action Team.

Governor's Forum on Monitoring Estuary Workgroup

Salmon technical team

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

SAMPLING PROCEDURES FOR MARINE WATER

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 587: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes John Day Data Dictionary

Composition John Day Data Dictionary

Yes John Day Data Dictionary

Yes Turbidity John Day Data Dictionary

Yes Diversion Dams John Day Data Dictionary

Yes Site Layout John Day Data Dictionary

Puget Sound Water Quality Action Team. SAMPLE HANDLING

Yes Embeddedness John Day Data Dictionary

Washington Department of Ecology Fish Tissue Samples

Washington Department of Ecology Fish Tissue Samples

Washington Department of Ecology Fish Tissue Samples

Yes Composition John Day Data Dictionary

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Conductivity, Sample Conductivity

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 588: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Site Verification John Day Data Dictionary

Puget Sound Water Quality Action Team.

Puget Sound Water Quality Action Team.

Puget Sound Water Quality Action Team.

Field Decontamination of Sampling Equipment

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Laboratory Decontamination for Conventionals Analysis

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Laboratory Decontamination for Metals Analysis

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 589: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Puget Sound Water Quality Action Team.

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

water quality Governor's Forum on Monitoring Estuary Workgroup

water quality

South Slough National Estiarine Research Reserve (Survey)

Laboratory Decontamination for Organics Analysis

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 590: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

1. Only secondary channels that begin and end within the reach will be considered.2. The following criteria must be met in order for a secondary channel to be included in the survey:a. There must be clearly defined bankfull indicators at some point along the secondary channel.b. The bankfull width of the secondary channel must be > 20% of the average bankfull width (rounded to the nearest integer) from the width category determination. Measure the width of the secondary channel one width category up from the downstream end.3. In the event that a secondary channel splits into additional channels that are > 2 bf width categories in thalweg length, include only the channel with the greatest flow. Any additional channel divisions will be excluded from sampling.4. Measurements in secondary channels will include large wood, pebble counts, and bankfull width.

Page 591: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Toxicology Puget Sound Water Quality Action Team.

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Page 592: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 593: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Puget Sound Water Quality Action Team.

Yes Yes

Yes Yes

Yes Yes

Grab Samplers, Coring Devices & Dredging Equipment

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 594: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 595: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 596: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes NOAA Estuary Module

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 597: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Governor's Forum on Monitoring Estuary Workgroup

Governor's Forum on Monitoring Estuary Workgroup

Yes PNAMP Monitoring Inventory

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 598: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

1. Only side channels that begin and end within the reach will be considered (Figure 7: SC-D does not qualify).2. A side channel begins (and ends) at the location where it becomes separated from the main channel by an island (Figure 7: see SC-E). SC-G is considered part of the main channel because the water is split by a gravel bar.3. The following criteria must be met in order for a side channel to be included in the survey:a. There must be clearly defined bankfull indicators at some point along the side channel.b. The bankfull width of the side channel must be ≥ 20% of the bankfull width category (Table 3). Measure the bankfull width of the side channel at 25%, 50%, and 75% of the way, up from the downstream end. Average the results and compare to the reach’s average bankfull width. In Figure 4, SC-B, C, and E would qualify, and SC-F would not as it is too narrow.4. Do not collect measurements in discontinuous side channels, where at any location (normally at the upstream end) the side channel bed elevation is higher than the bankfull elevation of the main channel.5. Channels that do not meet the above criteria are not included in the survey.Measurements in qualifying side channels will include large wood, pebble counts, streambank measurements and wetted widths.

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Site Verification John Day Data Dictionary

Yes PNAMP Monitoring Inventory

John Day Data Dictionary

Latitude John Day Data Dictionary

•         

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

1. Examine the bankfull indicators (described below) throughout the reach to identify the bankfull elevation. Recognize that all six indicators are rarely present at an individual site.• Examine stream banks for an active floodplain. This is a relatively flat, depositional area that is commonly vegetated and above the current water level.• Examine depositional features such as point bars. The highest elevation of a point bar usually indicates the lowest possible elevation for bankfull stage. However, depositional features can form both above and below the bankfull elevation when unusual flows occur during years preceding the survey. Large floods can form bars that extend above bankfull whereas several years of low flows can result in bars forming below bankfull elevation.• A break in slope of the banks and/or change in the particle size distribution from coarser bed load particles to finer particles deposited during bank overflow conditions.• Define an elevation where mature key riparian woody vegetation exists. The lowest elevation of birch, alder, and dogwood can be useful, whereas willows are often found below the bankfull elevation.• Examine the ceiling of undercut banks. This elevation is normally below the bankfull elevation.• Stream channels actively attempt to reform bankfull features such as floodplains after shifts or down cutting in the channel. Be careful not to confuse old floodplains and terraces with the present indicators.2. Measure the bankfull width perpendicular to the channel at Transect A. Round the bankfull width to the nearest 0.1 meter. This number will be used to determine the location of additional bankfull width measurements.3. Two additional bankfull widths will be measured, one upstream and one downstream (Fig. 1). For example, the initial bankfull width was 5.3 m, go upstream 5.3 m and take a bankfull width measurement. Repeat this procedure going downstream from the initial bankfull width location to get one more bankfull width measurement. If the situation arises where a bankfull cannot be measured on the downstream end of Transect A, take the additional measurement above Transect A.Note: If a qualifying side channel is encountered while acquiring the 3 bankfull widths, measure the bankfull width of the side channel and add it to the bankfull width of the main channel.4. Record the three bankfull widths and calculate the average. Use the average to determine the width category from Table 1 below (this information will also be provided in the field data recorders). The reach length is defined for each width category and is equal to 20 times the bankfull width.

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Longitude John Day Data Dictionary

Yes

Yes

Yes John Day Data Dictionary

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

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Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

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Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

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Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

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Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Smolts-Size Misc. ATTRIBUTES in Transition Smolts-Size

Page 605: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes Embeddedness John Day Data Dictionary

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes Size_parr John Day Data Dictionary

Yes Size_smolts John Day Data Dictionary

CSMEP

CSMEP

CSMEP

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 606: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

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Is this Field a Indicator, Indicator

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Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

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Defined By: Associated Protocol: Is this Field a

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Is this Field a Indicator, Indicator

Group Derived Variable:

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Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Washington Department of Ecology Substrate Transect

Yes John Day Data Dictionary

Yes John Day Data Dictionary

Yes Road Crossing John Day Data Dictionary

Yes Structure John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Yes

Yes PNAMP Monitoring Inventory

CSMEP

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Page 608: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes NWFSC Salmon Database

Yes Yes Productivity

Yes Number of smolts John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Page 609: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

CSMEP

Yes

Yes

Yes

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 610: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

South Slough National Estiarine Research Reserve (Survey)

Yes Bailey Classification John Day Data Dictionary

Yes Omernik Classification John Day Data Dictionary

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Page 611: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Diversion Dams John Day Data Dictionary

Yes Distribution John Day Data Dictionary

Yes

Yes

Yes

PNAMP Monitoring Inventory

CSMEP

Yes

Yes

Yes PNAMP Monitoring Inventory

CSMEP

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

NOAA Fisheries: Adaptive Management for ESA-Listed Salmon and Steelhead Recovery: Decision Framework and Monitoring Guidance

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Page 612: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes NWFSC Salmon Database

Yes

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes

Yes

Yes

Yes Yes Productivity

PFMC Management Plan/ Bruce Crawford

Yes

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Bruce Crawford

Yes PNAMP Monitoring Inventory

Yes

Yes Yes Distribution

Yes PNAMP Monitoring Inventory

CSMEP

Yes Species Type John Day Data Dictionary

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

hatchery proportion of spawners

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftLower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

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Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

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Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

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Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

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PACFISH/INFISH Biological Opinion Greenline Species

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

PACFISH/INFISH Biological Opinion Greenline Species

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PACFISH/INFISH Biological Opinion

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Riparian Cross Section SpeciesRiparian Cross Section Species

Page 617: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

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PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

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Riparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section Species

Page 618: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

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Alternative Wording for the"Data element name":

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PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

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Riparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section Species

Page 619: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

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PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

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Riparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section Species

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Defined By: Associated Protocol: Is this Field a

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Is this Field a Indicator, Indicator

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PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

Riparian Cross Section SpeciesRiparian Cross Section SpeciesRiparian Cross Section Species

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

Page 622: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

Page 623: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

PACFISH/INFISH Biological Opinion Weeds Summary

Page 624: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

Woody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody Regeneration

Page 625: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

Woody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody Regeneration

Page 626: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

Woody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody Regeneration

Page 627: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

PACFISH/INFISH Biological Opinion

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes

PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Governor's Forum on Monitoring Estuary Workgroup

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Woody RegenerationWoody RegenerationWoody RegenerationWoody RegenerationWoody Regeneration

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

At-Risk Freshwater Plant Communities

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 628: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes PNAMP Monitoring Inventory

Yes Yes

Species Type John Day Data Dictionary

Environmental Monitoring and Assessment Program Specimen Collection

Environmental Monitoring and Assessment Program Specimen Collection

Yes

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes Harrelson et al.,1994).

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Specimen CollectionSpecimen Collection

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Page 629: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

NOAA RM&E Guidance

Yes NOAA Estuary Module

Biological Integrity

CDFG CA Klamath

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 630: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

CDFG CA Klamath

CDFG CA Klamath

Stock identification, Bruce Crawford

Yes Yes Productivity

Yes Yes

Yes

Yes

Yes Valley Bottom Type John Day Data Dictionary

Yes PNAMP Monitoring Inventory

CSMEP

Yes Yes

Yes PNAMP Monitoring Inventory

Yes Turbidity John Day Data Dictionary

Yes John Day Data Dictionary

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Abundance (adults or juveniles)

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 631: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Dishcharge, Flow Peck et al. (2001)

Yes

Yes Yes Peck et al. (2001)*

Yes John Day Data Dictionary

Yes Riparian Vegetation John Day Data Dictionary

CSMEP

Yes Yes Gordon et al. (1992)

Yes Yes Stream Order John Day Data Dictionary

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 632: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes Streamflow John Day Data Dictionary

Yes Road Crossing John Day Data Dictionary

Page 633: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

Sampling method:1. Five particles will be sampled across each transect.2. Samples will be taken at 10, 30, 50, 70, and 90% of the way across the bankfull channel width.3. Visually estimate the sample locations prior to walking across the transect.4. When a qualifying secondary channel is present include the bankfull width of both channels but not the width of the island that is above bankfull.5. Sample the particle at the toe of the foot/depth rod. Reach down with the forefinger (without looking down) and pick up the first particle touched. Measure the middle width (B axis) of the particle. Visualize the B axis as the smallest width of a hole that the particle could pass through.6. Record particles < 2 mm as 2 mm. Record the width of larger particles to the nearest mm.

Page 634: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes John Day Data Dictionary

Yes John Day Data Dictionary

Yes Streamflow John Day Data Dictionary

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

Page 635: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

Page 636: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Yes Yes Riparian-Road Index John Day Data Dictionary

Yes John Day Data Dictionary

Yes Yes Peck et al. (2001)

Watershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/DisturbancesWatershed Activities/Disturbances

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 637: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes John Day Data Dictionary

Yes John Day Data Dictionary

Yes John Day Data Dictionary

South Slough National Estiarine Research Reserve (Survey)

Yes NOAA Fisheries (Pathways and Indicators 1996)

Activty, Task, Program, project

Geologic districts / Units

Page 638: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

Pebble counts –1. The substrate will be measured at the 21 transect locations (Transects A – K).2. 5 samples will be measured at each transect. Standing at left Bankfull divide the transect (estimate) up into 10%, 30%, 50%, 70% and 90% (See Figure 12).3. Without looking directly at the substrate of your sample location, step forward bringing your meter stick lightly down to touch the substrate. Reach down to the tip of the meter stick and pick up the first substrate that you touch with the tip of your finger. DO NOT LOOK while you are selecting the substrate.4. Measure the substrate along the intermediate axis with a ruler (scale = mm). The intermediate axis is the median side (B axis) of the rock, it is not the longest side (length-wise) or the short side (depth) of the rock. Visualize the B axis as the smallest width of a hole that the particle could pass through.5. If the substrate has a smooth dirt feel and is not gritty call it silt and record it as 0.031. If it is gritty and is < 2 mm call it sand and record it as 1.0. Anything 2 mm and greater should be measured and recorded. Bedrock (substrate 4096mm andlarger) is defined as a boulder large enough to park a car on. When in doubt, measure the substrate. If you are unable to access the substrate due to a large piece of wood, enter the value -9998 on the Substrate data form. Only use the code if you are unable to get under the log. Do not call it “wood” if it is a piece of bark or a twig.6. On larger boulders, you may have to use a field tape or flip the ruler end-over-end several times to get a measurement or use a field tape.7. If rocks are embedded you may have to feel for the intermediate axis with your hand and use your fingers as calipers.8. Enter all data on the Substrate data form, starting with Transect A. Write each measurement in the appropriate blank. Only use –9998 if the wood is embedded in the substrate and it is impossible to reach under to select a pebble. If it is not possible to measure the substrate, perhaps because of a deep pool where the substrate is not visible for an ocular estimate, record –9999 for no measurement in the field data recorder.

Page 639: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Off Channel Habitat John Day Data Dictionary

Yes

Yes Yes Off Channel Habitat John Day Data Dictionary

Yes Yes Off Channel Habitat John Day Data Dictionary

Yes Yes Off Channel Habitat John Day Data Dictionary

Dominant Substrate John Day Data Dictionary

PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 640: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

yes yes

Yes Yes Diversion Dams John Day Data Dictionary

Yes Yes FLIR / Temp John Day Data Dictionary

Yes FLIR / Temp John Day Data Dictionary

John Day Data Dictionary

John Day Data Dictionary

Yes

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006

Roegner et al. Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 641: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Largest Legacy Tree Visible Largest Legacy Tree Visible Largest Legacy Tree Visible Largest Legacy Tree Visible Largest Legacy Tree Visible Largest Legacy Tree Visible Largest Legacy Tree Visible Largest Legacy Tree Visible Largest Legacy Tree Visible

Page 642: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Yes

John Day Data Dictionary

Transport John Day Data Dictionary

Largest Legacy Tree Visible Largest Legacy Tree Visible Largest Legacy Tree Visible

Largest Legacy Tree Visible

Largest Legacy Tree Visible Largest Legacy Tree Visible Largest Legacy Tree Visible Largest Legacy Tree Visible

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Logger temperature, MWMT/MDMT

Page 643: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Puget Sound Water Quality Action Team.

Water Temperature

Yes Yes

Yes PNAMP Monitoring Inventory

Puget Sound Water Quality Action Team.

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

SAMPLING PROCEDURES FOR MARINE WATER

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

( Temperature, Air, ) Air Temperature

( Temperature, Water, ) Water Temperature, Water Quality Temperature, Ground Water Temperature

Page 644: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

1. Surveys will be performed at Transects B, D, F, H, J and K within the reach. Crewmembers should start at the wetted edge and search their way upstream on each bank for five minutes (ten minutes total at each transect). Be sure to estimate the total area searched along each bank: the width of the area searched will be restricted to a maximum of 2 meters. The length will not have a restriction. (Note: the dimensions recorded are the actual meters searched, not covered.)2. During this time, roll over rocks and logs, and dig carefully through leaves and soil. Make every effort to minimize your impact on the habitat. Return rocks and logs and other objects back to their original locations on the bank.3. When an amphibian is found, stop the time and identify and measure the organism for total length and snout to vent length, in millimeters. When returning animals to the field, place them in the same area you found them and resume the survey. If you found the animal under a rock, place it beside the rock rather than back under the rock to avoid smashing the animal. Continue searching for the remainder of the 5 minute survey.4. Be sure to target riparian areas along both banks between transects that amphibians might use as habitat, e.g. seeps or springs, mossy areas, or other moist, cool areas.5. Other data to record: estimate the length and width of the area searched in meters, the type of habitat searched (you will enter the appropriate code on the Terrestrial Amphibian Data Form), and the air temperature. If an amphibian was captured, identify which bank it was caught on (left or right looking downstream), habitat (ranking from most, condition of the habitat, location of specimen (in/on/under) within the habitat, measure snout vent length (SVL) and total length (TL) (however, do not measure the total length of frogs or toads) what habitat it was in, the distance from the waters edge, the life history stage (juvenile or adult), and any mortality information.6. It is important to be very specific about the habitat when an amphibian is found. This can include; slope aspect, distance from stream, and the specific habitat type. Write these conditions on the comments section next to the specific amphibian captured

Page 645: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

MWMT/MDMT John Day Data Dictionary

Width/Depth Ratio John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

FLIR / Temp John Day Data Dictionary

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 646: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Water Temperature Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

Thermographs are to be placed in each watershed prior to the field season. Temperature data will be collected hourly from June 1 through September 15. All thermographs should be removed from the watersheds by October 15.Thermograph location and placement:1. The thermograph should be placed in the lower-most, accessible point of the watershed on federal land, with these exceptions:a. If the federal landholdings are discontinuous, place the thermograph on the lower-most continuous portion of federal land that will be surveyed, downstream of all survey sites and tributaries with survey sites.39b. If the HUC is a composite watershed (a drainage basin that has water input from outside the basin) and the mainstem will not be sampled, place the thermograph in the largest tributary that will be sampled at the lower-most point on federal land.2. Launch the thermograph on the day of placement. Make sure it begins logging prior to placement in the stream.a. Program the thermograph to log temperature hourly for 331 daysb. Label the file with watershed name, code and year.Example: ORSES_E_Fork_Smelly_Creek_20033. Secure the thermograph in the steel pipe to a steel cable with a bolt.4. Place the thermograph in deep, flowing water (not a pool), ideally in the thalweg or other area which will remain underwater throughout the summer. Avoid high-traffic locations.5. Secure the thermograph under rocks and attach the cable to a tree or other anchor point. Bury the cable under rocks or wood.6. Document the time and water temperature using a NIST-approved thermometer at the exact time the thermograph is logging a temperature. Make sure the thermograph has stabilized in the water for 5 to 10 minutes prior to the scheduled logging time.7. Document the location:a. Flag a tree 5 meters upstream or downstream of the anchor so that attention is not brought to the cable. You may want to place an inconspicuous marker at the base of the anchor point.b. Get a GPS waypoint at the thermograph location, labeled with the serial number of the thermograph.c. Write detailed notes on the location of the thermograph relative to the anchor (distance and direction) and stream channel, what it is attached to (tree, size, type, bank, etc.) and where the flag is relative to the anchor. Draw a map of its location.Example: Thermograph mid-channel, under .4m boulder, 1.5m from/attached to .3m Douglas Fir, right bank. Flag on willow, upstream 6m, right bank.d. Take photos of the thermograph location, anchor (up close, from the flag, including the flag), the flag (from access direction 15 meters away) and any other photos that will facilitate finding the thermograph.e. Mark the location on the field map.f. Write parking and walking directions to the site.8. Download all waypoints from the GPS unit and photos from the camera.a. Using Photoshop place arrows on one or two photographs pointing out the location of the thermograph, anchor and flagging.

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Page 648: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

See: Elevation, Tidal PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Governor's Forum on Monitoring Estuary Workgroup

Yes

Yes

John Day Data Dictionary

John Day Data Dictionary

Turbidity John Day Data Dictionary

Yes Yes

John Day Data Dictionary

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Abundance (adults or juveniles)

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 649: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Toxicology Puget Sound Water Quality Action Team. Tissue

Toxicology Puget Sound Water Quality Action Team.

John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes Harrelson et al.,1994).

Yes Site Verification John Day Data Dictionary

Yes Quota, TOC PFMC Management Plan/ Bruce Crawford

Yes PNAMP Monitoring Inventory

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

SAMPLING PROCEDURES FOR TISSUE

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Page 650: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Catch ODFW Chris Kerns

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes

Yes

Yes

NOAA Fisheries

WDFW

Yes PNAMP Monitoring Inventory

Yes TMDL PNAMP Monitoring Inventory

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Impervious Surface Area, Total

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 651: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes John Day Data Dictionary

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes Riparian-Road Index John Day Data Dictionary

Yes Yes

Yes Land Ownership John Day Data Dictionary

Yes NOAA Estuary Module

Yes John Day Data Dictionary

Yes Width/Depth Ratio John Day Data Dictionary

Yes Site Layout John Day Data Dictionary

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 652: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes Yes Puget Sound Water Quality Action Team.

Yes

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

SAMPLING PROCEDURES FOR MARINE WATER

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 653: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes Genetics_smolts John Day Data Dictionary

Yes Size_smolts John Day Data Dictionary

Yes Genetics_smolts John Day Data Dictionary

Yes Riparian Vegetation John Day Data Dictionary

Yes Bank Stability John Day Data Dictionary

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

Page 654: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA RM&E Guidance

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

PNAMP Monitoring Inventory

John Day Data Dictionary

Puget Sound Water Quality Action Team.

Yes Yes

PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Page 655: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Puget Sound Water Quality Action Team.

A measure of the degree to which light is scattered by suspended particulate material and soluble colored compounds in the water.

Turbidity John Day Data Dictionary

Yes John Day Data Dictionary

Yes

Yes

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

SAMPLING PROCEDURES FOR MARINE WATER

Puget Sound Water Quality Action Team. RECOMMENDED GUIDELINES FOR SAMPLINGMARINE SEDIMENT, WATER COLUMN, AND TISSUEIN PUGET SOUND, April 1997 - - Sampling Chapter

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Jeremy Moberg, Terraqua, Inc. Wauconda, WA A FIELD MANUAL for the HABITAT PROTOCOLS of the UPPER COLUMBIA MONITORING STRATEGY 2007 working version

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 656: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)

Page 657: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)Phab-ChanCS-VisualRiparianPhab-ChanCS-VisualRiparianPhab-ChanCS-VisualRiparianPhab-ChanCS-VisualRiparianPhab-ChanCS-VisualRiparianPhab-ChanCS-VisualRiparianVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian EstimatesVisual Riparian Estimates

Page 658: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Bank Stability John Day Data Dictionary

Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 659: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

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Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 661: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 662: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Site Layout John Day Data Dictionary

John Day Data Dictionary

Yes

water quality Governor's Forum on Monitoring Estuary Workgroup

Yes Yes

NOAA Draft Implemetnation Monitoring Data Dictionary

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Page 663: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

NOAA Draft Implemetnation Monitoring Data Dictionary

Yes Yes John Day Data Dictionary

Yes Naiman et al. (1992)

Valley Bottom Type John Day Data Dictionary

Yes

Yes Valley Bottom Type John Day Data Dictionary

Yes Yes Naiman et al. (1992)

Valley Bottom Gradient

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Cupp (1989); Naiman et al. (1992)

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Page 664: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes Pools Per Kilometer John Day Data Dictionary

Yes John Day Data DictionaryValley Bottom Containment

Page 665: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes John Day Data Dictionary

Yes Yes

Yes John Day Data Dictionary

Yes Pool Quality John Day Data Dictionary

Yes PNAMP Monitoring Inventory

yes yes

Yes Bailey Classification John Day Data Dictionary

MONITORING STRATEGY FOR THE UPPER COLUMBIA BASINSecond Draft Report August 1, 2006

Bisson and Montgomery (1996)

EFFECTIVENESS MONITORING FOR STREAMS AND RIPARIAN AREAS WITHIN THE PACIFIC NORTHWEST STREAM CHANNEL METHODS FOR CORE ATTRIBUTES “Final Draft” 2004 by Aquatic and Riparian Effectiveness Monitoring Program (AREMP) & PACFISH/INFISH (PIBO) staff

Abundance (adults or juveniles)

Lower Columbia Fish Recovery Board, Research Monitoring and Evaluation Program Draft June 2007

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006

Roegner et al. Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary

Page 666: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Nitrogen/Phosphorus John Day Data Dictionary

Yes Structure John Day Data Dictionary

Structure John Day Data Dictionary

Plants PNAMP Monitoring Inventory

Yes Plants PNAMP Monitoring Inventory

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 667: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Yes

Yes

Yes Streamflow John Day Data Dictionary

Washington Department of Ecology Habitat Parameter

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working DraftHillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 668: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Page 669: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Washington Department of Ecology Habitat Parameter

Yes PNAMP Monitoring Inventory

Yes John Day Data Dictionary

Yes Nitrogen/Phosphorus John Day Data Dictionary

Yes Streamflow John Day Data Dictionary

Yes Composition John Day Data Dictionary

Yes Disturbance John Day Data Dictionary

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Misc. ATTRIBUTES in Transition

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Method to be determined (DB Transition)Method to be determined (DB Transition)Method to be determined (DB Transition)

Page 670: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Misc. ATTRIBUTES in TransitionMethod to be determined (DB Transition)

Page 671: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Field Protocol Manual: Aquatic and Riparian Effectiveness Monitoring Program Regional Interagency Monitoring for the Northwest Forest Plan (2007 Season)

The YSI meter and probe module is an extremely precise and delicate piece of equipment and should be handled with care. Always store the probe with the calibration/transport cup on, filled with ½ inch of drinking water or tap water. When it is in the stream, it should be protected by the probe sensor guard. Do not touch the DO membrane with your hands or any other object.1. Calibrate the YSI for dissolved oxygen in the morning prior to going out into the field.(For information on calibration, refer to Appendix A.)2. Remove the calibration/transport cup and replace it with the probe sensor guard.3. At Transect K, place the probe into the center of the stream, away from the banks in an area such as a riffle or pool tail crest where the water flowing past the probe is representative of the water in the stream. Avoid placing the probe in a turbulent area or pool. (In turbulent areas such as those with white water, the DO will be elevated, and pools do not have adequate mixing to replenish the DO probe or ensure a uniform temperature throughout the pool.) Place rocks onto the cord to hold the probe in place.4. Turn on the YSI and allow it to warm up for ten minutes.5. Record the current time (military time), temperature, conductance, specific conductance and dissolved oxygen in the data recorder.6. To begin logging:a. In the upper left corner of the “Run” screen, scroll to “Start logging” and press .b. On the “Enter Info” screen, scroll to the file name, press and enter the file name as follows: state code (two letters), watershed code (three-letters) and the site number (two characters). If the site is a QA/QC or trend site, leave out the state code and include a 9 or 6 before the site number. Example: ORRCK03 (RCK903, RCK603)c. When you are finished entering the filename press , select “OK”, and press .d. The YSI will begin logging data every five minutes. Allow the YSI to log data for at least two hours.7. When you are finished logging data, select “Stop logging” and press . Turn off the YSI and replace the probe sensor guard with the transport/calibration cup and ½ inch of drinking water or tap water.Note: If when you select “Start logging” the “Pick a site” screen appears instead of the “Enter info” screen, press “configure”. On the “Logging setup” screen, deselect the “Use site list” option.

Page 672: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes Road Crossing John Day Data Dictionary

Yes NOAA Estuary Module

Yes Road Crossing John Day Data Dictionary

Yes

Yes

yes yes

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

( Temperature, Water, ) Water Temperature, Water Quality Temperature, Ground Water Temperature

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Temperature, Salinity, Dissolved Oxygen

Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary, Roegner Et Al, 2006

Roegner et al. Monitoring Protocols for Salmon Habitat Restoration Projects in the Lower Columbia River and Estuary

Page 673: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Page 674: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes

Yes Yes

Yes Yes

Yes

Yes

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

Data Management Needs for Regional Project Tracking to Support Implementation and Effectiveness MonitoringStephen L. Katz, Katie Barnas, Stewart Toshach NOAA Fisheries, Northwest Fisheries Science Center 2007

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Page 675: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Governor's Forum on Monitoring Estuary Workgroup

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

Yes PNAMP Monitoring Inventory

Yes OPSW (1999)

( Temperature, Water, ) Water Temperature, Water Quality Temperature, Ground Water Temperature

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 676: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes

Yes Yes NOAA Fisheries (Pathways and Indicators 1996)

Yes Yes OPSW (1999)

Yes Yes OPSW (1999)

Yes Yes PNAMP Monitoring Inventory

Yes Yes OPSW (1999)

Yes Yes OPSW (1999)

Yes Yes PNAMP Monitoring Inventory

Yes Yes PNAMP Monitoring Inventory

Yes Yes Zaroban (2000)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

( Temperature, Water, ) Water Temperature, Water Quality Temperature, Ground Water Temperature

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 677: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes NOAA Fisheries (Pathways and Indicators 1996)

Yes Yes OPSW (1999)

Yes Yes NOAA Fisheries (Pathways and Indicators 1996)

Yes

CSMEP

John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes

( Temperature, Water, ) Water Temperature, Water Quality Temperature, Ground Water Temperature

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Nez Perce Tribe Definition (JTT, ATT, HMFMTT,GTT)

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Page 678: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes

Yes

Yes

Yes

Yes

John Day Data Dictionary

Environmental Monitoring and Assessment Program Specimen Collection

Environmental Monitoring and Assessment Program Specimen Collection

Washington Department of Ecology

Washington Department of Ecology

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Specimen CollectionSpecimen Collection

Stream Assessment Characteristics

Stream Assessment Characteristics

Page 679: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Washington Department of Ecology

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

Stream Assessment Characteristics

Page 680: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Riparian-Road Index John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

Page 681: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

John Day Data Dictionary

Yes

Environmental Monitoring and Assessment Program Specimen Collection

Environmental Monitoring and Assessment Program Specimen Collection

Environmental Monitoring and Assessment Program Specimen Collection

Yes Turbidity John Day Data Dictionary

Yes Fishways John Day Data Dictionary

Yes Number of Weirs John Day Data Dictionary

Yes

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Specimen CollectionSpecimen CollectionSpecimen Collection

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Estuary Assessment. Component XII of the Oregon Watershed Assessment Manual, Brophy, green point Consulting

Pacific Coastal Salmon Recovery Fund Performance Goals, Measures and Reporting Framework December 2006

Page 682: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Wetland Classification

Yes Yes Peck et al. (2001)*

Yes John Day Data Dictionary

Yes Width/Depth Ratio John Day Data Dictionary

Yes Wetted Width John Day Data Dictionary

Yes Wetted Width John Day Data Dictionary

Yes Wetted Width John Day Data Dictionary

Yes Wetted Width John Day Data Dictionary

Yes Wetted Width John Day Data Dictionary

Yes Wetted Width John Day Data Dictionary

Yes Wetted Width John Day Data Dictionary

Yes Wetted Width John Day Data Dictionary

Yes Wetted Width John Day Data Dictionary

Yes Streamflow John Day Data Dictionary

ENVIRONMENTAL INDICATORS FOR THE OREGON PLAN FOR SALMON AND WATERSHEDS by Liz Dent, Hal Salwasser, Gail Achterman, May 2005

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 683: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Yes Peck et al. (2001)*

Yes NOAA Fisheries (Pathways and Indicators 1996)

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes Genetics_smolts John Day Data Dictionary

Yes Off Channel Habitat John Day Data Dictionary

Yes PNAMP Monitoring Inventory

Yes PNAMP Monitoring Inventory

Yes Structure John Day Data Dictionary

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Hillman: Upper Columia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Status Trend & Effectiveness Monitoring (STEM Databank) NWFSC

Page 684: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Washington Department of Ecology Fish Cover

Page 685: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Yes Bruce Crawford

Yes PNAMP Monitoring Inventory

Yes NWFSC Fish Ecology Division research program (http://www.nwfsc.noaa.gov/research/divisions/fed/climatechange.cfm)

Page 686: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Coastal Oregon Tidal Fringe Wetlands Regional Guide.

HGM Guidebook for Oregon Tidal Wetlands HGM Guidebook for Oregon Tidal Wetlands

Johnson-O'Neil, HEP, Johnson-O'Neil, HEP,

Coastal Oregon Tidal Fringe Wetlands Regional Guide.

Page 687: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

OWEB funds for training and development of protocal.

Russell Scranton

OWEB funds for training and development of protocal.

•         

Page 688: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Russell Scranton

Russell Scranton

Russell ScrantonAttribute/Measure/Variable

Page 689: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Russell Scranton

Russell Scranton

Russell Scranton

Page 690: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Russell Scranton

Russell Scranton

Russell Scranton

Page 691: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Russell Scranton

Russell Scranton

Russell Scranton

Page 692: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Russell Scranton

Russell Scranton

Russell Scranton

Page 693: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Russell Scranton

Russell Scranton

WorkSite Russell Scranton

Page 694: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Russell Scranton

Russell Scranton

Russell Scranton

Page 695: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Russell Scranton

Russell Scranton

Russell Scranton

Page 696: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Russell Scranton

Russell Scranton

Page 697: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Page 698: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Defined By: Associated Protocol: Is this Field a

Metric or Variable:

Is this Field a Indicator, Indicator

Group Derived Variable:

Is this Field a Performance

Measure:

Alternative Wording for the"Data element name":

Associated Method/ Standard Operating Procedure:

Page 699: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Bacteria, Oxeygen levels, Temperature, Contaminates

Page 700: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

sq acres

Highest High Medium Low Not Classified4 3 2 1 0 or Tier 1 Tier 2 Tier 3 Tier 4 Not Classified

Page 701: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Identified: Identified in a Recovery Plan Planned: An entity has provided information on how the action or project may be implemented Open: New, ongoing or other projects that are current. The drop-down menu still includes these various terms for individual use, but all Open projects will be counted the same way for reporting purposes. Proposed metrics will be reported. Completed: Projects will be considered Completed if the project status is “Completed” or if the End Date indicates that the project has ended. Actual metrics will be reported. Cancelled: Projects that were funded and some of the funds were spent, but the project was terminated mid-progress due to unforeseeable circumstances. Actual metrics will be reported. Partially Complete- Action duration has a discrete end-point (i.e., 3 years). Action has been partially completed (relative to work needed when recovery plan was released). Terminated: Projects that were selected then abandoned. No funds were spent. These projects will be deleted from the database. Metrics and funds will not be counted even if they are still in the database. Obsolete: Actions that were initially identified in the plan but were deemed unnecessary before any planning occurred.

The Longitude coordinate value for the worksite. Value should be reported as a negative number from 0 to -180 degrees with up to 8 decimal places. The Latitude coordinate value for the worksite. Value should be reported as a positive number from 0 to 90 degrees with up to 8 decimal places. See NED best Practices for reporting Time and location

Page 702: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

General Management Actions (Program Development or Assessment Action)Acquisition Actions: Habitat Protection and Restoration Action: Supplementation, Enhancement, Propagation ActionsFishery Management ActionRegulatory, Consultation & Legal Action: Research & Monitoring Action Outreach and Education ActionOther

Page 703: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Name Position Phone Number E-mail address Mailing Address

#

Page 704: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 705: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

months, years

Page 706: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

High H

Low L

Moderate M

High H

Low L

Moderate M

High H

Low L

Moderate M

High H

Page 707: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Low L

Moderate M

High H

Low L

Moderate M

High H

Low L

Moderate M

High H

Low L

Page 708: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Moderate M

Celsius

2

Absent 0

Sparse 1

Moderate 2

Heavy 3

Sparse (<10%), Very Heavy (>75%), Moderate (10-40%), Heavy (40-75%), Absent (0%)

Page 709: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Very Heavy 4

1

1

2

Page 710: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 711: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

100504

Cinygmula 100557

Rhithrogena 100572

Cinygma 100598

100626

Epeorus albertae 100629

Heptageniidae - early instar or damaged

Epeorus - early instar or damaged

Page 712: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Epeorus deceptivus 100632

Epeorus grandis 100635

Epeorus longimanus 100637

Ironodes 100666

100800

Acentrella 100801

Baetis tricaudatus 100817

Baetis bicaudatus 100823

Baetis flavistriga 100835

Ameletus 100996

Paraleptophlebia 101187

101206

101232

101233

Ephemerella inermis 101239

Baetis - early instar or damaged

Paraleptophlebia bicornuta

Ephemerellidae - early instar or damaged

Ephemerella - early instar or damaged

Page 713: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Timpanoga hecuba 101318

101338

Attenella delantala 101345

101347

Drunella doddsi 101368

Drunella grandis 101370

Drunella spinifera 101385

Drunella coloradensis 101389

Serratella tibialis 101399

Pteronarcys 102471

Pteronarcys californica 102473

Pteronarcella 102485

Yoraperla 102510

102517

Malenka 102567

102591

Attenella - early instar or damaged

Caudatella - early instar or damaged

Nemouridae - early instar or damaged

Zapada - early instar or damaged

Page 714: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Zapada cinctipes 102594

Zapada columbiana 102596

Zapada frigida 102601

Podmosta 102605

Visoka cataractae 102615

Capniidae 102643

Taeniopterygidae 102788

102840

Despaxia augusta 102842

Moselia infuscata 102910

102914

Hesperoperla pacifica 102972

Calineuria californica 102986

102994

Isoperla 102995

Skwala 103102

Leuctridae - early instar or damaged

Perlidae - early instar or damaged

Perlodidae - early instar or damaged

Page 715: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Megarcys 103110

Doroneuria 103121

Kogotus 103149

Setvena 103193

103202

Paraperla 103233

Suwallia 103254

Sweltsa 103273

Brychius 111947

Dytiscidae - larva 111963

Oreodytes 112314

Hydraena 112757

Hydrophilidae - larva 112811

114093

Lara avara 114139

Chloroperlidae - early instar or damaged

Elmidae - early instar or damaged

Page 716: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Narpus 114142

Cleptelmis addenda 114166

Heterlimnius 114167

Optioservus 114177

Zaitzevia 114205

Sialis 115002

115097

Rhyacophila pellisa 115114

Rhyacophila valuma 115121

Rhyacophila blarina 115153

Rhyacophila narvae 115155

Rhyacophila arnaudi 115165

Protoptila 115221

Wormaldia 115258

Dolophilodes 115319

Rhyacophila - early instar, pupa or damaged

Page 717: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Psychomyia 115335

115398

Cheumatopsyche 115408

Hydropsyche 115453

Arctopsyche grandis 115530

115556

Parapsyche elsis 115560

Parapsyche almota 115563

115629

Leucotrichia 115630

Agraylea 115635

Hydroptila 115641

Ochrotrichia 115714

Cryptochia 115907

Hydropsychidae - early instar, pupa or damaged

Parapsyche - early instar or damaged

Hydroptilidae - early instar, pupa or damaged

Page 718: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

115933

Apatania 115935

Pedomoecus sierra 115973

Psychoglypha 115974

Ecclisomyia 116025

Oligophlebodes 116039

116046

Neophylax rickeri 116054

Neophylax splendens 116063

Dicosmoecus gilvipes 116268

Onocosmoecus 116315

116342

Neothremma 116388

Ceraclea 116684

Lepidostoma 116794

Limnephilidae - early instar, pupa or damaged

Neophylax - early instar, pupa or damaged

Ecclisocosmoecus scylla

Page 719: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

116848

116906

116912

116918

Amiocentrus 116933

Micrasema 116958

Polycentropus 117044

117120

Agapetus 117121

Anagapetus 117154

Glossosoma 117159

Petrophila 117682

Tipula 119037

Antocha 119656

Limonia 119704

Lepidostoma cascadenseBrachycentrus - early instar, pupa or damagedBrachycentrus americanusBrachycentrus occidentalis

Glossosomatidae - early instar, pupa or damaged

Page 720: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Hexatoma 120094

Limnophila 120164

Hesperoconopa 120732

Rhabdomastix 120968

Dicranota 121027

Psychodidae 125351

Dixa 125810

Meringodixa 125873

Thaumalea 126629

126640

Prosimulium 126703

Simulium 126774

Forcipomyiinae 127112

Ceratopogoninae 127338

Natarsia 128070

Larsia 128183

Simuliidae - early instar or pupa

Page 721: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Nilotanypus 128202

Zavrelimyia 128259

Diamesa 128355

Pagastia 128401

Monodiamesa 128440

Odontomesa 128446

128457

Brillia 128477

Cardiocladius 128511

Chaetocladius 128520

Corynoneura 128563

Cricotopus bicinctus 128583

Cricotopus trifascia 128659

Heleniella 128730

Heterotrissocladius 128737

Hydrobaenus 128750

Orthocladiinae - early instar

Page 722: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Krenosmittia 128771

Limnophyes 128776

Lopescladius 128811

Nanocladius 128844

Orthocladius 128874

Symposiocladius 128877

Parakiefferiella 128968

Parametriocnemus 128978

Paraphaenocladius 128989

Psectrocladius 129018

Rheocricotopus 129086

Synorthocladius 129161

Thienemanniella 129182

Chironomus 129254

Microtendipes 129535

Paracladopelma 129597

Page 723: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Paratendipes 129623

Phaenopsectra 129637

Polypedilum 129657

Saetheria 129735

129872

Cladotanytarsus 129873

Micropsectra 129890

Paratanytarsus 129935

Rheotanytarsus 129952

Stempellina 129962

Stempellinella 129969

Sublettea 129975

Tanytarsus 129978

Caloparyphus 130409

Glutops 130915

Atherix 130929

Tanytarsini - early instar

Page 724: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Tabanidae 130934

Empididae - pupa 135830

Clinocera 135849

Chelifera 136305

Hemerodromia 136327

Oreogeton 136377

Muscidae 150025

Turbellaria 53964

568515

568516

568521

568523

Diphetor hageni 568598

Caudatella cascadia 568630

568763

Cricotopus (Isocladius)Cricotopus (Nostococladius)Cricotopus (Cricotopus)Orthocladius (Symposiocladius)

Arctopsychinae - early instar, pupa or damaged

Page 725: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Nematoda 59490

Nematomorpha 64183

Lumbriculidae 68440

Haplotaxis 68504

Enchytraeidae 68510

Tubificidae 68585

Naididae 68854

Mooreobdella 69449

Fluminicola 70778

Gyraulus 76592

Physidae 76676

Pisidiidae 81388

Acari 82754

Ostracoda 84195

Copepoda 85257

Gammarus 93773

Page 726: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Pseudoscorpionida Non-ITIS-1

Non-ITIS-10

Non-ITIS-11

Non-ITIS-12

Non-ITIS-13

Non-ITIS-14

Non-ITIS-15

Radotanypus Non-ITIS-16

Thienemannimyia Gr. Non-ITIS-17

Tvetenia Bavarica Gr. Non-ITIS-18

Non-ITIS-2

Non-ITIS-3

Non-ITIS-4

Non-ITIS-5

Non-ITIS-6

Non-ITIS-7

Rhyacophila Vagrita Gr.Eukiefferiella Brehmi Gr.Eukiefferiella Claripennis Gr.Eukiefferiella Devonica Gr.Eukiefferiella Gracei Gr.Eukiefferiella Pseudomontana Gr.

Zapada Oregonensis Gr.Rhyacophila Alberta Gr.Rhyacophila Angelita Gr.Rhyacophila Betteni Gr.Rhyacophila Brunnea Gr.Rhyacophila Hyalinata Gr.

Page 727: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Non-ITIS-8

Non-ITIS-9

Rhyacophila Iranda Gr.Rhyacophila Nevadensis Gr.

Page 728: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

Left Bank Left

Right Bank Right

Left Bank Left

Right Bank Right

Left Bank Left

Right Bank Right

Left Bank Left

Page 729: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Right Bank Right

Degrees

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

Page 730: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

Page 731: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

Page 732: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

percent

Meters

Meters

Meters

Page 733: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 734: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

Meters

Page 735: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

sq miles

N/A

Ft.

Major J

Minor M

None N

Absent A

Page 736: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Common C

Rare R

Page 737: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 738: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Glide G

Pool P

Rapid RA

Riffle RI

Coarse C

Fine/Sand F

Gravel G

Other O

N/A

N/A

Page 739: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Page 740: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Very Heavy (>75%) 4

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

On Bank B

Within 10m C

Greater than 30 m F

Page 741: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Not Present O

=> 10m P

N/A

#

N/A

N/A

Moderate (10-40%), Sparse (<10%), Absent (0%), Very Heavy (>75%), N/A, Heavy (40-75%)

Page 742: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A -99

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

N/A -99

Absent (0%) 0

Moderate (10-40%), Sparse (<10%), Absent (0%), N/A, Very Heavy (>75%), Heavy (40-75%)

Mixed, Coniferous, Deciduous, None, Broadleaf Evergreen

Page 743: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

Coniferous C

Deciduous D

Broadleaf Evergreen E

Mixed M

None N

Page 744: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

AUC and CPO not defined

Page 745: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 746: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 747: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 748: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 749: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Coarse C

Fine/Sand F

Gravel G

Other O

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

Page 750: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

N/A

Page 751: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

Page 752: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

N/A

Cascade CA

Dry Channel DR

Page 753: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Falls FA

Glide GL

Pool, Backwater PB

Pool, Impoundment PD

Pool, Lateral Scour PL

Pool, Plunge PP

Pool, Trench PT

Rapid RA

Riffle RI

Meters

N/A

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

Page 754: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

Page 755: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

%

Page 756: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

YYYYMMDDEstimated: The date that the project lead/subgrantee proposes to complete the project. Actual: The date that the project lead/sub grantee completes the project.

Page 757: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 758: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

%

mhos/cm

Page 759: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 760: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 761: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

#/hr

Attributes:Estimate: the estimate of cost to complete the action/projectAnnual: The amount of funds by the lead entity being expended on this action or project. Matching Funds: Amount of funds being expended on this project by additional partners in dollars.Total: The sum of annual funds

Page 762: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 763: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Meters

Meters

N/A

N/A

YYYYMMDD

0 - 0.1m 1

0.1 - .3m 2

0.3 - 0.75m 3

The date that the information was input into the tracking system. (This feature could be automated)YYYYMMDDEx 20071031

Page 764: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

0.75 - 2m 4

> 2m 5

Page 765: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 766: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

F

Sample not collected K

Suspect sample U

Center Down CenDwn

Center Left CenL

Center Right CenR

Explained in Comment Field

Page 767: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Center Up CenUp

Left Left

Right Right

N/A

A

In Bankfull Channel I

Above Bankfull Channel

Page 768: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

0.1 - < 0.3m A

0.3 - 0.6m B

0.6 - 0.8m C

> 0.8m D

N/A

Seconds

Seconds

Page 769: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Seconds

%

Volume units, ML

0.001

0.001

Page 770: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Meters

Meters

Meters

Meters

Meters

N/A

N/A

Page 771: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

%

0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

One Cowardin class: score = 1Two Cowardin classes: score = 3Three Cowardin classes: score = 5

ppm (parts per million) or mg/l (milligrams/liter)

Page 772: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Agriculture A

Forest F

Range R

Suburban/Town S

Urban U

N/A

N/A

N/A

Meters

N/A

N/A

ppm (parts per million) or mg/l (milligrams/liter)

Page 773: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Km / Km2

#/Time

#/Time

Page 774: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 775: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Feet

Meters

Number

Meters

Decimal Degrees

Page 776: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Decimal Degrees

Meters

Decimal Degrees

Decimal Degrees

percentage

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

Page 777: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

0 Poor 0

1 Poor 1

Page 778: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

Page 779: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

7 Marginal 7

8 Marginal 8

9 Marginal 9

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

Page 780: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

CM

Page 781: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Decimal Degrees

Decimal Degrees

Page 782: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 783: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Meters

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

Page 784: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

Page 785: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

% of #

Page 786: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

# of fish

# of redds

Number

Number

# of Spawners

# of spawners or redds

#

Page 787: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Variables were not defined in presentation

Page 788: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

#

Page 789: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

#

N/A

Sparse (<10%), Very Heavy (>75%), Moderate (10-40%), Heavy (40-75%), Absent (0%)

Page 790: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Page 791: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

Fin Presence

Page 792: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Fish / ha

Page 793: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 794: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 795: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 796: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 797: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 798: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 799: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Number

Lower Section Low

Middle Section Mid

Upper Section Up

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Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Page 801: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

0 - 25 yrs. 1

25 - 75 yrs. 2

> 75 yrs. 3

yes/no

Page 802: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

Page 803: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

N/A

Page 804: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A -99

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

N/A -99

Absent (0%) 0

Sparse (<10%) 1

Pre-populated Drop Down List (Dictionary defined) NOAA F: National Ocean and Atmospheric Administration Fisheries ServiceNWFSC: Northwest Fisheries Science CenterBPA: Bonneville Power AdministrationPuget Sound PartnershipLCFRB: Lower Columbia Fish Recovery BoardOWEB: Oregon Watershed Enhancement BoardSalmon Recovery Funding BoardWDFW: Washington Department of Fish and WildlifeNez Perce TribeOther Add additional organizations

Page 805: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

N/A -99

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

Page 806: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

2D 2D

3D 3D

Decimal Degrees

Decimal Degrees

PDOP

HUC 4 HUC 5 HUC6 MSA (If applicible) Reach: the reach name and the source of the reach identification County: the County impacted by the action City: The city impacted by the Action/project. Defined by City GIS boundary Section, Township and range State: The State impacted by the action Water Body name: The Water Body Impacted by the Action: Water Bodies like Puget Sound and the Columbia Estuary are subdivided into management units

Page 807: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

PDOP

RMS/PDOP

RMS

RMS

Yes/No

Decimal Degrees

Decimal Degrees

Decimal Degrees

Decimal Degrees

N/A

MM

Page 808: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Meters

Page 809: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

%

Page 810: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

lbs/avg lbs per species

# Adults

Page 811: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

%

Page 812: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 813: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 814: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Meters

Convert full range of values for study area to scores of 1 (smallest percentage) to 5 (largest percentage).

Page 815: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 816: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

r.h.

Page 817: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

# Adults

Action cost Lack of plan/action strategy Personnel needs

Page 818: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Meters

Page 819: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 820: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

High H

Low L

Moderate M

High H

Low L

Moderate M

High H

Low L

Moderate M

High H

Page 821: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Low L

Moderate M

High H

Low L

Moderate M

High H

Low L

Moderate M

High H

Low L

Page 822: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Moderate M

Page 823: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 824: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 825: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 826: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 827: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 828: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 829: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 830: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Km / Km2

Page 831: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

%

Page 832: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 833: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 834: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Number

Page 835: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Page 836: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

sq miles

N/A

Page 837: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

On Bank B

Within 10m C

Greater than 30 m F

Not Present O

Page 838: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

=> 10m P

N/A

Page 839: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 840: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 841: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Decimal Degrees

Meters

Page 842: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Km

Km

Meters

N/A

N/A

N/A

N/A

N/A

Page 843: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Use NOAA Data Dictionary (In development)

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Egg Parr SmoltEstuary & Nearshore Adult Ocean Adult ReturnAdult Spawner

Page 844: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Very Heavy (>75%) 4

Degrees C

On Bank B

Within 10m C

Greater than 30 m F

Not Present O

=> 10m P

N/A

Decimal Degrees

Page 845: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Decimal Degrees

Decimal Degrees

N/A

(pieces/km)

Page 846: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 847: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

Meters

N/A

Page 848: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

%

Drop Down menu based on ESU and population. (This can be auto filled based on the Population name selected, or ESU) This is not an important attribute for implementation monitoring, but is important for reporting.

Page 849: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 850: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Degrees C

N/A

N/A

Time, Minutes

Degrees C

Degrees C

Degrees C

Page 851: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 852: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 853: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 854: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 855: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

miles

N/A

0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

Page 856: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

On Bank B

Within 10m C

Not Present O

=> 10m P

Biological: Fish Birds Mammals Vegetation Insects Invertebrates Freshwater Macroinvertebrate Amphibians Reptiles PlanktonPhysical: Ocean Habitat Instream Habitat Riparian Habitat Substrate Upland Estuarine Habitat Water Quality Water Quantity Wetland Nearshore Marine

Page 857: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 858: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

#

#

Page 859: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Degrees C

Date and Time

Date and Time

N/A

Page 860: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Name Address

Yes/No

Yes/No

Dry_Visisted 1

pounds of nitrogen per square mile of watershed area

Page 861: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

10

11

Dry_Not_Visisted 2

Wetland 3

Map_Error 4

Impounded 5

Other 6

Not_Boatable 7

Not_Wadeable 8

No_Access 9

N/A

Permanently_InaccessibleTemporarily_Inaccessible

Page 862: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Number

Count

ratio

Page 863: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Number

Page 864: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 865: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 866: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Meters

Page 867: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Wild, Hatchery, Other

Page 868: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Type ofmodification,length treatedin miles

Page 869: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

area created(acres)

#; length oftreatment(miles)

Page 870: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

#, length oftreatment(miles)

Invasivespecies, areatreated(acres)

area treated(acres)

Page 871: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

#

number

N/A

area created(acres)

Heavy (40-75%), Absent (0%), Moderate (10-40%), Sparse (<10%), Very Heavy (>75%)

Page 872: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

N/A

On Bank B

Within 10m C

Greater than 30 m F

Within 10m, Not Present, => 10m, Un-Identified, Greater than 30 m, On Bank

Page 873: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Un-Identified K

Not Present O

=> 10m P

Pre-populated Drop Down List (Dictionary defined) NOAA F: National Ocean and Atmospheric Administration Fisheries ServiceNWFSC: Northwest Fisheries Science CenterBPA: Bonneville Power AdministrationPuget Sound PartnershipLCFRB: Lower Columbia Fish Recovery BoardOWEB: Oregon Watershed Enhancement BoardSalmon Recovery Funding BoardWDFW: Washington Department of Fish and WildlifeNez Perce TribeOther Add additional organizations

Page 874: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

On Bank B

Within 10m C

Greater than 30 m F

Not Present O

=> 10m P

Page 875: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

On Bank B

Within 10m C

Greater than 30 m F

Not Present O

=> 10m P

%

%

%

=> 10m, Not Present, Within 10m, On Bank, Greater than 30 m

Page 876: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 877: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

%

%

%

Page 878: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 879: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 880: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

%

%

%

Km / Km2

ph level

Page 881: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 882: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 883: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Date and Time

N/A

On Bank B

Within 10m C

Not Present O

=> 10m P

=> 10m, Not Present, Within 10m, On Bank

Page 884: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Meters

Meters

Page 885: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 886: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 887: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Meters

N/A

Page 888: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 889: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 890: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

%

Meters

Meters

Channel widths

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

Page 891: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

Boulder/Bedrock B

Page 892: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

BF

BW

D1

D2

D3

D4

Boulder/Bedrock (F=unknown?)

Boulder/Bedrock and Large Woody Debris

dammed (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

dammed (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

dammed (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

dammed (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

Page 893: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

D5

D6

D7

D8

D9

unknown F

dammed (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

dammed (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

dammed (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

dammed (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

dammed (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

Page 894: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

FB

FW

missing data K

missing data? K

NOT a pool N

plunge P1

plunge P10

plunge P11

plunge P12

plunge P13

plunge P14

plunge P2

plunge P3

plunge P4

plunge P5

plunge P6

Unknown and Boulder/Bedrock?Unknown and Large Woody Debris?

Page 895: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

plunge P7

plunge P8

plunge P9

Rootwad R

RB

S1

S10

S11

(No meaning provided)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

Page 896: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

S12

S13

S14

S15

S16

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

Page 897: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

S2

S3

S4

S5

S6

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

Page 898: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

S7

S8

S9

W

WB

Woody Debris? WD

WF

WR

Z

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

scour (Pool must be wider than half the wetted width, include the thalweg, and be at least as long as wide.)

LWD (large woody debris)Large Woody Debris and Boulder/Bedrock

Larger Woody Debris (and unknown?)

Large Woody Debris and Rootwad(No meaning provided)

Page 899: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Number

Primary Contributing, and Stablizing

Basic, Intermediate, Large and Very Large

Page 900: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Dictionary defined by TRT and Regional Office (Crouse)

mm

Page 901: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Page 902: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 903: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 904: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

length treatedin miles

Page 905: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

N/A

N/A

N/A

N/A

Page 906: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

Meters

N/A

Meters

N/A

N/A

Page 907: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

High H

Low L

Moderate M

High H

Low L

Moderate M

Upper Columbia Salmon Recovery PlanPuget Sound Chinook Salmon Recovery PlanHood Canal Summer Chum Recovery PlanLake Ozete Sockeye Salmon Recovery PlanWashington Lower Columbia Salmon Recovery and Fish & Wildlife PlanAdd Additional Plans as developed

Page 908: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

High H

Low L

Moderate M

High H

Low L

Moderate M

Page 909: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 910: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Count

N/A

r.h.

%

Page 911: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

#

N/A

High H

Low L

Page 912: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Moderate M

High H

Low L

Moderate M

High H

Low L

Moderate M

High H

Low L

Moderate M

Page 913: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

High H

Low L

Moderate M

High H

Low L

Moderate M

High H

Low L

Page 914: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Moderate M

Pre-populated Drop Down List (Dictionary defined) NOAA F: National Ocean and Atmospheric Administration Fisheries ServiceNWFSC: Northwest Fisheries Science CenterBPA: Bonneville Power AdministrationPuget Sound PartnershipLCFRB: Lower Columbia Fish Recovery BoardOWEB: Oregon Watershed Enhancement BoardSalmon Recovery Funding BoardWDFW: Washington Department of Fish and WildlifeNez Perce TribeOther Add additional organizations

Page 915: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 916: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Km

Acreage/miles of stream with vegetative cover in one of the following categories: hardwood, softwood, hardwood/ softwood mix, shrub, grassland, shrub/grass- land mix, row crops, pasture, impervious area, bare ground

Page 917: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Km/Km2

Page 918: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

Page 919: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

Page 920: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

9 Marginal 9

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

Page 921: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

Page 922: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

8 Marginal 8

9 Marginal 9

N/A

area treated(acres)

length offencing

Page 923: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

area treated(acres)

area treated(acres)

# ofinstallations

Species; areatreated(acres)

Page 924: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

yes/no

Meters

Meters

N/A

Meters

Km/Km2

# ofinstallations

Species; areatreated(acres)

Page 925: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Not Present 0

On Bank B

Within 10m C

=> 10m P

Km/Km2

N/A

On Bank B

0 = Not Present, P = > 10m, C = within 10 m, B = On Bank

Within 10m, Not Present, => 10m, On Bank, Greater than 30 m

Page 926: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Within 10m C

Greater than 30 m F

Not Present O

=> 10m P

Page 927: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Winter Summer Spring/Summer Late Fall Fall

Page 928: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

mhos/cm

Day, Month, Year

N/A

Number

Lat/Long

Meters

N/A

Big B

Microbe M

Small S

Volume Units, ML

Convert full range of values for study area to scale of 1 (lowest # stocks) to 5 (highest # stocks).

Page 929: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Yes/No

Page 930: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Page 931: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 932: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

18 Optimal 18

Page 933: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

Page 934: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

# of erosionstructures

Page 935: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

miles

miles

miles

miles

Page 936: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

miles

miles

# of erosionstructures

Page 937: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

miles

Page 938: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 939: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 940: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Yes/No

N/A

Decimal Degrees

Page 941: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 942: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Decimal Degrees

nearest mm

0

Possible age-zero 0

1

Mortality 1

Possible age-one 1

1<

1>

2

Adipose AD

Bloody fins BF

Bloated BL

Body scars BS

No winter check on scales

1 winter check on scales

Descaled less than 10%Descaled greater than 10%2 winter checks on scales

Page 943: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Caudal fin damage CA

Dorsal fin damage DF

Dark body color DK

Dye mark DM

Disorbited@eye DO

Damaged@left eye EL

Damaged right eye ER

F

Fungus FU

FX

Hemorrhage HE

Body injury I

Possible BKD KD

Lacerations LA

Lower Caudal Fin Clip LC

Listless LI

Light body color LT

Fry (<60mm, no visible yolk)

Fish examination conducted

Page 944: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Left Ventral LV

M

MK

MS

N

Non-Trap Fatality NTF

Opercle damage OP

P

PA

Pin Head PH

PIT PIT

PR

Precocious PR

Pectoral fin damage PT

Pelvic fin damage PV

Recapture RE

Mortality (Trap caused fatality)Removed from release group (killed)Sample mortality (intentional sacrifice)No fish examination conducted

Parr (>60mm, parr marks)External parasites present

Precocial (juvenile expresses milt)

Page 945: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Right Ventral RV

S

Scoliosis SC

Sack Fry (visible yolk) SF

Scales Taken ST

Silvery body color SV

Tatoo/Panjet TM

TS

Upper Caudal Fin Clip UC

adipose clip adipose clip

green green

hatchery hatchery

hatchery fins hatchery fins

orange orange

pink pink

wild wild

Smolt (<60mm, no parr marks)

Transitional (<60mm, faint parring)

Page 946: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Count

CM

MM

Convert full range of values for study area to scores of 1 (smallest) to 5 (largest).

Page 947: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

BL

Coble (64 to 250 mm) CB

FN

GC

GF

HP

K

OT

RC

RR

RS

Sand (0.06 to 2 mm) SA

SB

SP

Boulder (250 to 4000 mm)

Silt / Clay / Muck - (Not Gritty)Course Gravel (16 to 64 mm)Fine Gravel (2 to 16 mm)Hardpan - Firm, Consolidated Fine Substrate)(No meaning provided)Other (Write Comment)(No meaning provided)Bedrock (Rough) - (Larger than a car)Bedrock (Smooth) - (Larger than a car)

(No meaning provided)(No meaning provided)

Page 948: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

WB

Wood - (Any Size) WD

WP

XB

%

%

Meters

(No meaning provided)

(No meaning provided)(No meaning provided)

0 = Absent, 1 = Sparse, 2 = Moderate, 3 = Heavy, 4 = Very Heavy

Page 949: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

ratio

Page 950: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

meters

Page 951: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 952: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 953: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Number

Page 954: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Percent

Chinook 1

Spring 1

Coho 2

Summer 2

Fall 3

Sockeye 4

Unknown salmonid 80

Page 955: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

90

Adult Chinook A1

Adult Coho A2

Adult Steelhead A3

Adult Sockeye A4

A5

Adult Hatchery Coho A6

A7

A8

Adult Wild Chinook A9

Adult Wild Coho AA

Adult Wild Steelhead AB

Adult Wild Sockeye AC

Adult Kelts AD

Adult Hatchery Kelts AE

Adult Wild Kelts AF

Unknown (non-salmonid)

Adult Hatchery Chinook

Adult Hatchery SteelheadAdult Hatchery Sockeye

Page 956: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Eastern Brook Trout BT

Chiselmouth CM

Cutthroat Trout CT

Dace DA

J0

J1

Wild Minijack Chinook J2

J3

Wild Jack Chinook J4

J5

Lamprey, Adult LA

LB

Long Nose Dace LD

LS

Bull Trout LT

Mountain Whitefish MW

Minijack Chinook (150-300mm)Jack Chinook (300-550mm)

Hatchery Minijack Chinook

Hatchery Jack Chinook

Lamprey, Juvenile Brown

Lamprey, Juvenile Silver

Page 957: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Peamouth PM

Red Sided Shiner RS

Sculpin SC

3-Spine Stickleback SK

Northern Pike Minnow SQ

Sand Roller SR

SRT

Sucker SU

Unknown U

bull trout bull trout

minnow pike

red shiner red shiner

unknown unknown

whitefish whitefish

Chinook 1

Spring 1

Steelhead/Rainbow trout

Page 958: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Coho 2

Summer 2

Fall 3

Sockeye 4

Unknown salmonid 80

90

Adult Chinook A1

Adult Coho A2

Adult Steelhead A3

Adult Sockeye A4

A5

Adult Hatchery Coho A6

A7

A8

Adult Wild Chinook A9

Adult Wild Coho AA

Unknown (non-salmonid)

Adult Hatchery Chinook

Adult Hatchery SteelheadAdult Hatchery Sockeye

Page 959: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Adult Wild Steelhead AB

Adult Wild Sockeye AC

Adult Kelts AD

Adult Hatchery Kelts AE

Adult Wild Kelts AF

Eastern Brook Trout BT

Chiselmouth CM

Cutthroat Trout CT

Dace DA

J0

J1

Wild Minijack Chinook J2

J3

Wild Jack Chinook J4

J5

Lamprey, Adult LA

Minijack Chinook (150-300mm)Jack Chinook (300-550mm)

Hatchery Minijack Chinook

Hatchery Jack Chinook

Page 960: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

LB

Long Nose Dace LD

LS

Bull Trout LT

Mountain Whitefish MW

Peamouth PM

Red Sided Shiner RS

Sculpin SC

3-Spine Stickleback SK

Northern Pike Minnow SQ

Sand Roller SR

SRT

Sucker SU

Unknown U

bull trout bull trout

minnow pike

Lamprey, Juvenile Brown

Lamprey, Juvenile Silver

Steelhead/Rainbow trout

Page 961: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

red shiner red shiner

unknown unknown

whitefish whitefish

Chinook 1

Spring 1

Coho 2

Summer 2

Fall 3

Sockeye 4

Unknown salmonid 80

90

Adult Chinook A1

Unknown (non-salmonid)

Page 962: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Adult Coho A2

Adult Steelhead A3

Adult Sockeye A4

A5

Adult Hatchery Coho A6

A7

A8

Adult Wild Chinook A9

Adult Wild Coho AA

Adult Wild Steelhead AB

Adult Wild Sockeye AC

Adult Kelts AD

Adult Hatchery Kelts AE

Adult Wild Kelts AF

Eastern Brook Trout BT

Chiselmouth CM

Adult Hatchery Chinook

Adult Hatchery SteelheadAdult Hatchery Sockeye

Page 963: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Cutthroat Trout CT

Dace DA

J0

J1

Wild Minijack Chinook J2

J3

Wild Jack Chinook J4

J5

Lamprey, Adult LA

LB

Long Nose Dace LD

LS

Minijack Chinook (150-300mm)Jack Chinook (300-550mm)

Hatchery Minijack Chinook

Hatchery Jack Chinook

Lamprey, Juvenile Brown

Lamprey, Juvenile Silver

Page 964: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Bull Trout LT

Mountain Whitefish MW

Peamouth PM

Red Sided Shiner RS

Sculpin SC

3-Spine Stickleback SK

Northern Pike Minnow SQ

Sand Roller SR

SRT

Sucker SU

Unknown U

bull trout bull trout

minnow pike

red shiner red shiner

unknown unknown

whitefish whitefish

Steelhead/Rainbow trout

Page 965: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Chinook 1

Spring 1

Coho 2

Summer 2

Fall 3

Sockeye 4

Unknown salmonid 80

90

Adult Chinook A1

Adult Coho A2

Adult Steelhead A3

Adult Sockeye A4

A5

Adult Hatchery Coho A6

A7

A8

Unknown (non-salmonid)

Adult Hatchery Chinook

Adult Hatchery SteelheadAdult Hatchery Sockeye

Page 966: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Adult Wild Chinook A9

Adult Wild Coho AA

Adult Wild Steelhead AB

Adult Wild Sockeye AC

Adult Kelts AD

Adult Hatchery Kelts AE

Adult Wild Kelts AF

Eastern Brook Trout BT

Chiselmouth CM

Cutthroat Trout CT

Dace DA

J0

J1

Wild Minijack Chinook J2

J3

Wild Jack Chinook J4

Minijack Chinook (150-300mm)Jack Chinook (300-550mm)

Hatchery Minijack Chinook

Page 967: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

J5

Lamprey, Adult LA

LB

Long Nose Dace LD

LS

Bull Trout LT

Mountain Whitefish MW

Peamouth PM

Red Sided Shiner RS

Sculpin SC

3-Spine Stickleback SK

Northern Pike Minnow SQ

Sand Roller SR

SRT

Sucker SU

Unknown U

Hatchery Jack Chinook

Lamprey, Juvenile Brown

Lamprey, Juvenile Silver

Steelhead/Rainbow trout

Page 968: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

bull trout bull trout

minnow pike

red shiner red shiner

unknown unknown

whitefish whitefish

Dictionary defined by TRT and Regional Office (Crouse)

Page 969: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

None Collected NC

Not Fished NF

Page 970: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

YYYYMMDDEstimated: The date that the project lead/subgrantee proposes to start the project. Actual: The date that the project lead/sub grantee starts the project.

Page 971: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

#

N/A

Meters

Meters

Page 972: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

meters

N/A

N/A

Page 973: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

Page 974: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 975: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Meters

Meters

Seconds

High H

Low L

Moderate M

High H

Low L

Moderate M

High H

Low L

Page 976: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Moderate M

High H

Low L

Moderate M

High H

Low L

Moderate M

High H

Low L

Moderate M

Page 977: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

High H

Low L

Moderate M

High H

Low L

Moderate M

Km

N/A

Page 978: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

N/A

Page 979: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 980: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

%

%

%

%

N/A

Page 981: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Meters

Miles Per Hour

Meters

N/A

N/A

Page 982: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Alder/Birch AB

Ash AH

Acacia/Mesquite AM

C

Fir FR

Juniper JP

Maple/Boxelder MB

Oak OK

Poplar/Cottonwood PC

Cedar/Cypress/Sequoia

Page 983: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Pine PN

SN

Spruce SP

Sycamore SY

UB

UC

UD

Willow WL

Degrees C

Degrees C

Snag (Dead tree of any species)

Unknown/Other Broadleaf EvergreenUnknown/Other ConiferUnknown/Other Decidous

Page 984: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 985: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 986: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Degrees C

CM

Celcius

Page 987: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 988: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

See scoring matrix (Table 4). This score is doubled in the final total score.

Page 989: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Date and time

Time

Time

Seconds

Page 990: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Yes/No

Number

Page 991: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

#

#

#

Page 992: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Number

Number

Km

N/A

N/A

N/A

Meters

Page 993: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 994: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

%

Time

ratio

N/A

N/A

percent

Page 995: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Page 996: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

NTU

N/A

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Moderate (10-40%), Very Heavy (>75%), Heavy (40-75%), Absent (0%), Sparse (<10%)

Moderate (10-40%), Very Heavy (>75%), Heavy (40-75%), Absent (0%), Sparse (<10%)

Page 997: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Heavy (40-75%) 3

Very Heavy (>75%) 4

N/A -99

Absent (0%) 0

Sparse (<10%) 1

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

N/A -99

Absent (0%) 0

Sparse (<10%) 1

Page 998: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

Coniferous C

Deciduous D

Broadleaf Evergreen E

Un-Identified K

Mixed M

None N

On Bank B

Within 10m C

Greater than 30 m F

Not Present O

=> 10m P

Page 999: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

percent

Acres

Miles

Page 1000: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Acres

type and #

area treated(acres)

area treated(acres)

Page 1001: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

area treated(acres)

area treated(acres)

area treated(acres)

Page 1002: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

area treated(acres)

area treated(acres)

area treated(acres)

area treated(acres)

Page 1003: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

Meters

area treated(acres)

Page 1004: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

%

N/A

ratio

Page 1005: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

%

Page 1006: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

N/A

N/A

Page 1007: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

%

0 Poor 0

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

Canopy (>5m) - Understory (0.5 to 5m) - Ground Cover (<.5)

D = deciduous, C = Coniferous, E = Broadleaf Evergreen, M = Mixed, N = None

Page 1008: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

Meters/Second

Meters/Second

0 Poor 0

Page 1009: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

1 Poor 1

10 Marginal 10

11 Sub-Optimal 11

12 Sub-Optimal 12

13 Sub-Optimal 13

14 Sub-Optimal 14

15 Sub-Optimal 15

16 Optimal 16

17 Optimal 17

18 Optimal 18

19 Optimal 19

2 Poor 2

20 Optimal 20

3 Poor 3

4 Poor 4

5 Poor 5

Page 1010: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

6 Marginal 6

7 Marginal 7

8 Marginal 8

9 Marginal 9

%

N/A

Liters

Volume Units, ML

N/A

On Bank B

Within 10m C

Not Present O

Not Present, On Bank, => 10m, Within 10m

Page 1011: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

=> 10m P

Page 1012: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1013: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Meters

Meters

Page 1014: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

lbs of trashcollected

water tempmeasured

Page 1015: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Toxin, areatreated(acres)

Temperature, Dissolved oxygen, Bacteria, Turbidity, pH, Phosphorus, Nitrogen, nitrate, & ammonium nitrate, Macroinvertebrates, Biological Oxygen Demand (BOD), Total solids

Page 1016: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1017: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1018: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Celcius

Page 1019: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

°C

Good G

Poor P

1 Unappealing 1

2 2

fresh water-lake / salt water-ocean etc.

Page 1020: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

3 Moderate 3

4 4

5 Appealing 5

1 Highly Disturbed 1

2 2

3 Moderate 3

4 4

5 Pristine 5

Page 1021: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Km2

Page 1022: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

AC AC

DC DC

Pulsed DC PD

N/A

N/A

Number

Convert full range of values for study area to scores of 1 (smallest area) to 5 (largest area).

Page 1023: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Meters

Meters

Meters

Meters

Meters

Meters

Meters

Meters

Meters

Meters

Meters

Meters

Page 1024: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

N/A

%

N/A

Absent (0%) 0

Sparse (<10%) 1

Page 1025: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Moderate (10-40%) 2

Heavy (40-75%) 3

Very Heavy (>75%) 4

Page 1026: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Year

Page 1027: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1028: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1029: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1030: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1031: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1032: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1033: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1034: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1035: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1036: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1037: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1038: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1039: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Data Element Field Name (Attributes) Data Element Field Attributes

Data Element Attribute Code

Unit/s of Measure or Equation:

Unit of Precision:

Chemical or Biological ID Number

Data type (char or num):

Size & Decimalization:

Page 1040: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1041: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXXXXX.XX

Initially provided from ISEMP, this needs to have the actual source identified

Page 1042: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1043: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1044: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1045: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1046: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1047: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1048: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1049: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXX.XX

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1050: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Page 1051: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1052: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1053: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1054: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1055: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1056: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1057: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1058: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1059: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1060: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1061: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1062: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1063: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1064: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1065: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1066: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1067: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1068: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1069: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

N/A

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1070: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

0 - 360 degrees

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1071: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1072: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1073: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

0 - 100%

XX.X

XX.X

XXXXX.XX

Page 1074: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1075: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

left, right

yes/no

XXX.X

Special Situation: If a large boulder or log is located on an increment point and the obstruction is below bankfull elevation, collect the point on top of the obstruction. If the obstruction is above the bankfull elevation, do not collect the point at that increment and make a note in the data collector.

Page 1076: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXXXX.XX

N/A

XXXXXX.XX

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1077: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1078: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Where to take samples:

Page 1079: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

0,1,2,3,4

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1080: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1081: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1082: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

O, P, C, B

0 - 17 max

0 - 17 max

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1083: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1084: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1085: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1086: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1087: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1088: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Important: Be sure and mark where the points were taken for wetted edge at Transect A and K. Water levels can rise or drop during the course of a survey. In a dry channel, clearly mark where you took the point, as well.

Page 1089: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1090: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1091: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

M, S, A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1092: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1093: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1094: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

0.1 meters

XXXXX.XX

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1095: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1096: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Is "Levels" equivilent of Concentration?

N/A

XXX%

Nitrate/Nitrite- Kjehldahl Nitrogen- Orthophosphate-Total Phosphorus

Page 1097: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1098: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

(With the fencing example, the compliance monitoring indicator would be an assessment of the project’s basic intent – was the fence installed in the planned location and does it match additional specifications of a fencing project in the plan, ie.height, wire gauge, buffer distance etc. It would not include assessment of effects on temperature or sediment inputs or fish or the ability to exclude livestock, those are effectiveness assessments).

Page 1099: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XX.XX

Initially provided from ISEMP, this needs to have the actual source identified

Page 1100: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1101: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1102: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1103: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1104: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXX.XX

XX.XX

CN, RE, MS, MT, ER, TB, OT

aerial photos, GIS layers, data document

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1105: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1106: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1107: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1108: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1109: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

60 seconds

60 seconds

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1110: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

60 seconds

XX.X%

XX.X

Initially provided from ISEMP, this needs to have the actual source identified

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1111: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XX.XX

XX.XX

XX.X

XX.XX

XX.XX

O, P, C, B

O, P, C, B

Page 1112: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

O, P, C, B

O, P, C, B

O, P, C, B

O, P, C, B

O, P, C, B

O, P, C, B

N/A

N/A

XX.XX

XX.XX

yes/no/unknown

Page 1113: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XX.XX

N/A

left, right

XX.XX

N/A

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

wooded, meadow

Initially provided from ISEMP, this needs to have the actual source identified

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XXXXXX.XX

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(In the fencing example, the effectiveness monitoring indicators would be an assessment of the project’s effect on the riparian habitat, given that the project was properly implemented and in compliance with expected impact. Thus an appropriate metric would be riparian vegetation recovery since, this is expected to be an effect of excluding livestock from the riparian corridor.)

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XXXXX.XX

X.XX

XXXXXX.XX

XXXXXXX.XX

Seconds, 1.0000x, (1/100000)

Page 1117: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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XXXXXX.XX

XXX%

Seconds, 1.0000x, (1/100000)

Seconds, 1.0000x, (1/100000)

Seconds, 1.0000x, (1/100000)

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1119: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1120: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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XX.X

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1122: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Seconds, 1.0000x, (1/100000)

Seconds, 1.0000x, (1/100000)

Page 1123: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1124: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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XX.XX

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1125: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1126: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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Page 1128: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1129: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1130: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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N/A

Initially provided from ISEMP, this needs to have the actual source identified

Page 1131: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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N/A

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

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http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1133: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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XXXX

Page 1134: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1135: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1136: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1137: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1138: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1139: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1140: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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XXX

BC, BF, BL, LC, PC, PLC, RC, SCC, SP, T&H, VS, WP, RCC

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1141: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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N/A

Page 1142: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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yes/no

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1143: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1144: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

hourly, daily, weekly, monthly

Page 1145: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1146: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1147: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

X.XX

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Seconds, 1.0000x, (1/100000)

Seconds, 1.0000x, (1/100000)

Page 1148: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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X.XX

X.XX

X.XX

X.XX

N/A

Seconds, 1.0000x, (1/100000)

Seconds, 1.0000x, (1/100000)

Seconds, 1.0000x, (1/100000)

Seconds, 1.0000x, (1/100000)

none, upstream, downstream, both

8-16mm, 8-64mm, 32-96mm, 100 +

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XXXX

Plutonic, Volcanic, Sedimentary, Metamorphic

Page 1150: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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N/A

XXX.XX%

Need an agreed-on classification system. Could include those used by the USGS in the NLCD layer grouped to align with broad land-use categories:

Page 1151: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1152: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1153: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

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Page 1154: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

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Page 1155: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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XXX.XX

http://www.oregon.gov/OWEB/docs/pubs/wa_estuary/Estuary_Assessment_2007.pdfhttp://www.oregon.gov/OWEB/docs/pubs/wa_estuary/Estuary_Assessment_2007.pdf

http://www.oregon.gov/OWEB/docs/pubs/wa_estuary/Estuary_Assessment_2007.pdf

Page 1156: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1157: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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XXX.XX

Page 1158: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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N/A

N/A

Page 1159: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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XX.X

(This type of monitoring cannot directly link restoration actions to physical, chemical, or biological responses, as none of these parameters are measured. For example, if a restoration action is initiated to fence 20 miles of stream with the hope of reducing stream temperature and fine sediment input from run-off and bank erosion, the implementation monitoring would consist of confirming the presence of the fence. It would not include assessment of effects on temperature or sediment inputs or fish. )

Page 1160: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1161: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1162: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1163: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

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Initially provided from ISEMP, this needs to have the actual source identified

Page 1164: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1165: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1166: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1167: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

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Page 1168: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1169: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1170: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1171: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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XXXXXX.XX

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XX.X%

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1173: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1174: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Page 1175: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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XX

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdfhttp://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1176: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Initially provided from ISEMP, this needs to have the actual source identified

Page 1177: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXXXXX.XX

N/A

Page 1178: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

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N/A

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1179: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

O, P, C, B

Initially provided from ISEMP, this needs to have the actual source identified

Page 1180: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1181: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1182: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXX.XX

Initially provided from ISEMP, this needs to have the actual source identified

Seconds, 1.0000x, (1/100000)

Page 1183: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

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XXXX.XX

1 through 9

32 classes

N/A

78 classes

XXXXXXXX.X

XXXXXXXX.X

Initially provided from ISEMP, this needs to have the actual source identified

Nonvegetation, agriculture, vegetation

Page 1184: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1185: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

0.1 C

O, P, C, B

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Seconds, 1.0000x, (1/100000)

Page 1186: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

N/A

1,2,3,4,5 etc.

Seconds, 1.0000x, (1/100000)

Seconds, 1.0000x, (1/100000)

Page 1187: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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Where to take samples:1. Begin sampling at the first fast-water riffle habitat encountered at the site and continue upstream to the next 3 fast-water habitat units.2. Determine net placement within each habitat unit by generating 2 pairs of random numbers between 0 and 9 on the data logger. The first number in each pair (multiplied by 10) represents the percent upstream along the habitat unit’s length. The second number in each pair represents the percent of the stream’s width from river left looking downstream (RL). Repeat this process to locate the second sampling location.3. Take samples where the length and width distances intersect (estimate by eye). If it is not possible to take a sample at one or both of these locations (log in the way, too deep, cannot seal bottom of net, etc.), generate an additional set of random numbers and sample the new location.

Page 1188: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXXX.XX

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1189: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXX.XX

Page 1190: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1191: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

1,2,3,4,5 etc.

1,2,3,4,5 etc.

Minute

0.1 C

0.1 C

0.1 C

Maximum daily maximum temperature

Page 1192: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1193: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1194: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1195: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1196: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

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XXX

N/A

O, P, C, B

Page 1197: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1198: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1199: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

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N/A

N/A

Page 1200: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

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N/A

Maximum weekly maximum temperature

dd/mm/yyyy hour min.dd/mm/yyyy hour min.

http://www.oregon.gov/OWEB/docs/pubs/wa_estuary/Estuary_Assessment_2007.pdf

Page 1201: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

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N/A

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Page 1202: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

0,1,2,3,4

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1203: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

1,2,3,4,5 etc.

XXXX

XXXX.XX

Page 1204: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

1,2,3,4,5 etc.

Page 1205: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1206: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1207: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXX.XX

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1208: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

List of Origin Options

Page 1209: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1210: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1211: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1212: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

yes/no

Initially provided from ISEMP, this needs to have the actual source identified

Page 1213: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

O, P, C, B

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1214: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1215: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

O, P, C, B

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1216: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

O, P, C, B

XXX%

XXX%

XXX%

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1217: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1218: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXX%

XXX.XX%

XXX.XX%

Page 1219: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Where to take measurements:1. Collect measurements in the first ten pools of each reach beginning at the downstream end. Exclude beaver or man-made dam pools.2. Sample within the wetted area of the pool-tail and avoid non-flowing water.3. Take measurements upstream from the pool-tail crest a distance equal to 10% of the pool’s length or one meter, whichever is less.4. Take 3 measurements across the channel at 25, 50, and 75% of the wetted, flowing area of the pool tail.5. Locations are estimated visually.

Page 1220: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Where to take measurements:1. Collect measurements in the first ten pools of each reach beginning at the downstream end. Exclude beaver or man-made dam pools.2. Sample within the wetted area of the channel.3. Take measurements at 25, 50, and 75% of the distance across the wetted channel, following the shape of the pool tail.4. Take measurements upstream from the pool-tail crest a distance equal to 10% of the pool’s length or one meter, whichever is less.5. Locations are estimated visually.

Page 1221: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXX.XX%

XXX.XX%

XXXXXX.XX

XX.XX

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1222: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1223: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1224: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

O, P, C, B

dd/mm/yyyy hour

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1225: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

yes/no

XXX.XX

XX.XX

Page 1226: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Note: When islands/bars are present, describe the habitat unit in the main channel regardless of the habitat type in the other channel.

Page 1227: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Note: When considering whether to lump or split two potential pools and both habitat units meet the above criteria for pools, consider them two pools if the pool tail depth of the upstream pool is similar to depths from other pools within the reach. Conversely, consider it one pool if that pool tail depth is significantly deeper than other pools within the reach.Note: When islands are present, describe the habitat unit in the main channel regardless of the habitat type in the other channel.

Page 1228: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XX.XX

1,2,3,4,5 etc.

Page 1229: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Note: When considering whether to lump or split two potential pools and both habitat units meet the above criteria for pools, consider them two pools if the pool tail depth of the upstream pool is similar to depths from other pools within the reach. Conversely, consider it one pool if that pool tail depth is significantly deeper than other pools within the reach.

Page 1230: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1231: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXX%

XXX.XX

XXXX.XX

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1232: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1233: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1234: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1235: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1236: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1237: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1238: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1239: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1240: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

1,2,3,4,5 etc.

1,2,3,4,5 etc.

Page 1241: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

Page 1242: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1243: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1244: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1245: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1246: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

N/A

N/A

N/A

N/A

N/A

Page 1247: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXX

N/A

XXXX.XX

N/A

1.0 Meters

N/A

A,B,C

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1248: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1249: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1250: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1251: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXXX

N/A

XXX.XX

XX.XX

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1252: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1253: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1254: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1255: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Page 1256: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1257: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXXXXX.XX

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1258: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXXXXX.XX

Page 1259: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1260: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1261: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1262: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1263: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1264: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1265: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

yes/no

XX.XX

XXX.XX

N/A

XX.XX

XXXXXX.XX

Page 1266: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

O, P, C, B

XXXXX.XX

O, P, C, B

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1267: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1268: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1269: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

1,2,3,4,5 etc.

1.0 Meters

N/A

XX.X

hourly, daily, weekly, monthly

Decimal Degrees

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1270: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1271: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1272: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1273: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1274: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1275: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1276: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1277: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1278: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Page 1279: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1280: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1281: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

N/A

Seconds, 1.0000x, (1/100000)

Page 1282: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1283: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Seconds, 1.0000x, (1/100000)

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identified

Page 1284: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identified

Page 1285: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identified

Page 1286: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identifiedInitially provided from ISEMP, this needs to have the actual source identified

Page 1287: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

XXXX

XXX.XX

XXX.XX

Page 1288: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1289: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XX.XX

0,1,2,3,4

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1290: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXXX.XX

Page 1291: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1292: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

N/A

http://www.oregon.gov/OWEB/docs/pubs/wa_estuary/Estuary_Assessment_2007.pdf

Page 1293: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

full/partial

N/A

Page 1294: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1295: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1296: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1297: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1298: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1299: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1300: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1301: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1302: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1303: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1304: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1305: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1306: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1307: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1308: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1309: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1310: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1311: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1312: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

XX.XX

exp. 300 - 650 m

Page 1313: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

Strahler, Link System

Initially provided from ISEMP, this needs to have the actual source identified

Page 1314: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

yes/no

Page 1315: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1316: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XX.X

XX.X

X.X

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1317: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1318: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXXXXX.XX

0,1,2,3,4

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1319: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

N/A

Granite-Diorite, Rhyolite-Basalt/Andesite, Fine-Coarse, Metasediment-Quartz

Page 1320: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1321: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXX.XX%

XXX.XX%

XXX.XX%

XXX.XX%

N/A

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1322: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XX.XX

XXX mph

XXXX

field work, imagery, or both

field work, imagery, or both

Page 1323: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1324: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

0.1 C

0.1 C Assumed to addreess water temperature

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1325: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Initially provided from ISEMP, this needs to have the actual source identified

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1326: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

1. Begin sampling at the first fast-water riffle habitat encountered at the site and continue upstream to the next 3 fast-water habitat units. Two samples will be collected from each of the four riffles.

Page 1327: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

0.1 C

XXX.X

X.XX

Initially provided from ISEMP, this needs to have the actual source identified

Page 1328: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

3. Repeat this process to locate the second sampling location. If it is not possible to take a sample at one or both of these locations (log in the way, too deep, cannot seal bottom of net, etc.), generate an additional set of random numbers and sample the new location.

Page 1329: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

http://www.oregon.gov/OWEB/docs/pubs/wa_estuary/Estuary_Assessment_2007.pdfhttp://www.oregon.gov/OWEB/docs/pubs/wa_estuary/Estuary_Assessment_2007.pdfhttp://www.oregon.gov/OWEB/docs/pubs/wa_estuary/Estuary_Assessment_2007.pdf

Page 1330: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

dd/mm/yyyy

10:15 am

N/A

X.X

Page 1331: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdfhttp://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

hach digital filtrator method, burette titration met

Page 1332: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Page 1333: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

N/A

XXX

1.0 Meters

XXXXXXXX.XX

one letter exp. A,Bexp. A-B, B-C, C-D

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1334: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1335: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XX.X%

Minute

N/A

N/A

0 - 100%

mark / recapture

Page 1336: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

N/A

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Page 1337: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

XXX.X

N/A

http://www.psparchives.com/publications/our_work/science/protocals_guidelines/field.pdf

Initially provided from ISEMP, this needs to have the actual source identified

This is the research part of the phrase "research and development" (R&D). "Development" is the application of the results into products

formanagement

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Page 1338: · XLS file · Web viewSex ratio of broodstock collected randomly over the run Age composition from both broodstock and carcasses (from scale analysis) Age Composition Scale analysis

Validated by Comments Web LinkEdit mask format:

PNAMP Endorsed

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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0 - 100%

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N/A

XX.XX

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XXX%

N/A

exp. <2X

(In the fencing example, the validation monitoring indicators would be an assessment of two things: first that livestock exclusion results in riparian vegetation recovery so that the latter can be used as a cause-and-effect metric for the former; and second that riparian vegetation recovery results in water temperature reduction and sediment delivery reduction, the ultimate indirect intent of the initial management action implementation.)

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XXX%

confined, moderately confined, unconfined

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N/A

N/A

wooded, meadow

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XXX%

D,C,E,M,N

Canopy, Understory, Ground Cover

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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X.XX

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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XXX%

yes/no

X.X

XX.X

O, P, C, B

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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2. Determine net placement within each habitat unit by generating 2 pairs of random numbers between 0 and 9 on the data logger. The first number in each pair (multiplied by 10) represents the percent upstream along the habitat unit’s length. The second number in each pair represents the percent of the stream’s width from river left looking downstream (RL). Each sample will be obtained from the location where the length and width distances intersect (estimate by eye).

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XX.XX

XX.XX

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XX.X

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fresh/salt

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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XXXXXXXX.X

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N/A

N/A

1,2,3,4,5 etc.

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Concrete, Rock, Metal, Plastic, Wood, Other

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XXX.X

XXX.X

XXX.X

XXX.X

XXX.X

XXX.X

XXX.X

XXX.X

XXX.X

XXX.X

XXX.X

X.XX

Initially provided from ISEMP, this needs to have the actual source identified

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N/A

XXX.XX

0,1,2,3,4

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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Initially provided from ISEMP, this needs to have the actual source identified

Initially provided from ISEMP, this needs to have the actual source identified

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Attributes Subject Group Subject

Attribute Definition

Example attribute

2112 Biological

New TermEditted Term

1086 Biological Fish

1090 Biological Fish

1091 Biological Fish

Data Element Number:

Type of Monitoring Data:

A number associated with the data element name for use in technical documents.

Implementation Monitoring, Status & Trend, Effectiveness, Validation

Primary Classification group used to help filter Data Dictionary: Either Biological or Physical

The secondary classification grouping used to help filter groupings of terms.

Status & Trend, Effectiveness, Validation

The classification of, Fish, Macroinvertebrate, Mammal, Birds, Amphibian, Reptile, Other, Environmental condition, Estuary & Nearshore Habitat, In-stream Habitat, Riparian Habitat, Lake, Pond or Reservoir Habitat, Water Quality, Water Quantity, Effectiveness Monitoring,

Status & Trend or Effectiveness

Status & Trend or Effectiveness

Status & Trend or Effectiveness

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Data Element Name:

Stream Flow

Estuarine & Nearshore Habitat

Estuarine & Nearshore Habitat

Estuarine & Nearshore HabitatFish Stock Status

Data Element Defintition:

An atomic unit of data that including name, definition and unit of measure (and other aspects). This is equivalent conceptually to metric/variable, derived variable, indicator or performance measure. A data content topic, for example, a named data collection protocol – EMAP. Note there may be multiple domains or sub-domains within a particular data dictionary.

Description of the meaning of the data element

The velocity and volume of water measured in CFS Cubic Feet per Second

Fish- residence timesFish- species composition

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Metric or Variable:

Discharge, Flow

Indicator, Indicator Group Derived Variable

or Performance Measure:

Variation of "Data element name":

A value calculated or derived from observed attributes that inform an indicator. A metric may be known as a variable, and a metric may also be an indicator, mark " yes" if this field is a metric

A value that characterizes the quality, condition, status or trend of an environmental resource or ecological process. For the data dictionary an indicator is also known as a derived variable or a performance measure. Mark " yes" if this field is an indicator

This field identifies other "data element names" that are similar. E.g. "Temperature, water", may have "Water Quality: Temperature or Water Temperature" as alternative & equivalent definitions.

Place an Yes in this field if the term is a variable or Metric

Place an Yes in this field if the term is a Derived Variable or Indicator

See: Status of Commercially Important Fish Stocks

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Defined By: Associated Method/ Standard Operating Procedure:

South Slough National Estiarine Research Reserve (Survey)

South Slough National Estiarine Research Reserve (Survey)

The entity responsible for providing the definition of the attribute or a citation referencing the source.

This field provides the citation for the associated method used to collect the monitoring variable. A "Method" is more precisely defined as 1) a discrete process used during field data collection to measure or observe objects; 2) the union of all standard operating procedures, analysis procedures, and observed attributes require to determine the value of an indicator. (Attribute will be encoded as citation)

Hillman: Upper Columbia Salmon Recovery Plan RM&E Plan 2007 Working Draft

Peck, D., J.M. Lazorchak, and D.J. Klemm (editors), 2003. Environmental Monitoring and Assessment Program – Surface Waters: Western Pilot Study Field Operations Manual for Wadeable Streams. U.S. Environmental Protection Agency, Western Division, Corvallis, OR.

The State of the Nation's Ecosystems: Annual Update 2005, Summary of Changes in Data Availability and Ecosystem Use and Condition By Ecosystem

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Associated Protocol:

(Blank) or L

Data Element Field Name (Attributes)

Data Element Field Attributes

Data Element Attribute Code

This field provides the citation for the associated Protocol & date used to collect the monitoring variable. A "protocol" is more precisely defined as a collection of one or more methods compiled by a researcher, monitoring agency, or similar entity used to implement a field monitoring event. (Attribute will be encoded as citation)

The name used for this data element in computer programs and database schemas. It is often an abbreviation of the Date Element Name (e.g.. Cellular Phone Number might be assigned a field name of Cell_Ph_No).

The Attributes collected for this data element for the field

The shorthand codes used to identify an attribute

Hillman: Upper Columbia Salmon Recovery Plan RM&E Plan 2007 Working Draft

To be defined by Future Data Dictionary Programmer

22.565 or Low (relative to Baseline/Average)

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Unit of Precision:

3 decimal places

Unit/s of Measure or Equation:

Data type (char or num):

Scientific or other unit of measure that applies to the data element.

The level to which the data will be reported, e.g. 1 mile plus or minus .001 mile.

The type of data (e.g. Characters, Numeric, Alpha-numeric, date, list, floating point).

Cubic Feet/Second or relative rating to baseline and established scale

Numeric for CFS or characters for relative Reference

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Size & Decimalization: Edit mask format: Validated by

To be defined by Future Data Dictionary Programmer Tracy Hillman, Bioanalyst Inc.

The maximum field length that will beaccepted by the database together with anydecimal points (e.g. 30(2)) refers to a fieldlength of 30 with 2 decimal points).

An example of the actual data layout required,(e.g. yyyymmdd).

This field is to be used by the source of the term to authenticate that the definition is accurately input in the data dictionary. This should be an individual's name followed by the organization name

# # # #.# # # m3/s

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Comments Web Link PNAMP Endorsed

Yes or No

Insert text up to 200 words for any necessary clarification on any field

This is to provide a link to the documentation if available

This field is to designate that PNAMP recommends the use of the definition of the term identified over other similar definitions in the dictionary. For example PNAMP may endorse a particular definition for the Term Stream flow and note that Stream flow should also replace Flow and discharge. (This field is marked with a 'yes' if PNAMP has recommended the data element, otherwise mark with a 'no'.)

Stream flow, Discharge and Flow need reconciliation to a common term if appropriate, Hillmans term "Stream flow" is more common

A link to the source of the information used to develop the data dictionary