stream physical habitat data elements: request for acwi approval

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03/14/22 Stream Physical Habitat Data Elements: Request for ACWI Approval Methods and Data Comparability Board Herndon, VA, Feb. 10, 2009

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Stream Physical Habitat Data Elements: Request for ACWI Approval. Methods and Data Comparability Board. Herndon, VA, Feb. 10, 2009. Stream Physical Habitat Data Elements. Background Objectives Description of new data elements. Workgroup Members and Liaisons. State/Interstate/Academia - PowerPoint PPT Presentation

TRANSCRIPT

04/20/23

Stream Physical Habitat Data Elements: Request for ACWI Approval

Methods and Data Comparability Board

Herndon, VA, Feb. 10, 2009

04/20/23

Stream Physical Habitat Data Elements

Background

Objectives

Description of new data elements

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Workgroup Members and Liaisons

State/Interstate/Academia

*Revital Katznelson, UC-Berkeley Ext

LeAnne Astin, Fairfax Co., VA

Mike Henebry, State of IL

Mike Miller, State of WI

Nonprofit/Volunteer

Eric Russell, Surfrider Foundation

ESAR / WQX

BioData /BioShare

*Faith Fitzpatrick, USGSEli Greenbaum, ORNLEric Vowinkel, USGSDan Sullivan, USGS

Karen Blocksom, EPAChuck Spooner, EPATom Busiahn, USFWSPhil Kaufmann, EPA

Federal

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Objectives Promote methods and data comparability through

improved data documentation

Identify commonalities among existing PHAB Protocols and Data Management Systems

Support ESAR/WQX teams’ effort in integrating PHAB Results and metadata into their data exchange tools

Develop a list of core data elements for PHAB, and integrate them with existing WQDE modules.

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What is physical habitat?

Habitat = the set of conditions that support and control species distribution and abundance

Physical habitat = the physical structure (in this case, of streams). Includes some “biological” elements like vegetation that affect structure

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Elements of physical habitat Stream size and gradient Sinuosity Substrate size and stability Habitat complexity and cover Woody debris size and abundance Residual pool dimensions and frequency Riparian vegetation cover and structure Anthropogenic disturbances Channel-riparian interaction

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Typical Stream Chemistry Sampling: Point

Spatial elements – typical QW sampling site

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Spatial elements – habitat survey

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Data elements are modular

1.0 Contact 1.1 Data source (data owner, sampling

entity, etc.) 1.1.1 Organization formal name

2.0 Results 2.1 Result Value

2.2.1 Result value unit of measure 3.0 Reason for sampling 4.0 Date/Time Etc.

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New data elements

3.0 Reasons for Sampling 3.1 Reason for Sample Collection

3.1.1 Spatial Intent 3.1.2 Temporal Intent

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New data elements (cont)

6.0 Sample Collection 6.1 Sample Type

6.1.2 Habitat Category Sampled 6.1.3 Sample spatial component 6.1.4 Parent spatial framework

6.1.4.1 Parent location relative to permanent station

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6.1.2 Habitat category sampled

Examples: Channel hydraulics Channel geometry Streambed substrate/sediment Bank/riparian measurements Habitat complexity and cover Flow/hydrology Multiple/integrated

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6.1.3 Sample spatial component and 6.1.4 Parent spatial framework 6.1.4

Transect #36.1.3

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6.1.3 Sample spatial component and 6.1.4 Parent spatial framework

Transect point

6.1.3

Transect #3

6.1.4

Stream reach

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6.1.4.1 Parent location relative to permanent station

5.0 Location of permanent station

Endpoint of sampling reach

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New data elements (cont)

6.5 Sample Collection Method 6.5.4 Sample Collection Criteria

Indicate any particular conditions that must be present in order for sample to be valid

Examples: Max. depth must be less than 1 m in order

to sample Flow velocity must be less than 0.3 m/sec Etc.

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New data elements (cont)

7.0 Sample Analysis and QA/QC 7.9.2 Sample Batch ID

All samples collected in one trip that share field duplicates, blanks, and other quality checks for sample integrity

7.9.3 Result Batch ID All the field measurement results that share

repeated measurements and other quality checks for reproducibility, or that were collected by one instrument between a calibration and the subsequent accuracy check

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Future Directions

Outreach Presentations, workshops Demonstrations

Update User Guide Incorporate new data elements Include examples for clarity Provide tools

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Questions & Resolution

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