w.g. kepner, p. comer, d. osborne, d. semmens, and k. gergely
DESCRIPTION
The Southwest Regional Gap Analysis Project: A Database Model for Regional Landscape Assessment, Resource Planning, and Vulnerability Analysis. W.G. Kepner, P. Comer, D. Osborne, D. Semmens, and K. Gergely US-IALE 2004, SW ReGAP Special Session 31 March 2004. - PowerPoint PPT PresentationTRANSCRIPT
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W.G. Kepner, P. Comer, D. Osborne,
D. Semmens, and K. Gergely
US-IALE 2004, SW ReGAP Special Session
31 March 2004
The Southwest Regional Gap Analysis Project:
A Database Model for Regional Landscape Assessment, Resource Planning, and Vulnerability Analysis
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Southwest Regional GAP Project
Arizona, Colorado, Nevada, New Mexico, and Utah
US-IALE 2004, Las Vegas, Nevada: Transdisciplinary Challenges in Landscape Ecology
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BLM Ownership
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Vegetation Treatments EIS
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National Forest System Lands
• Regions
• Stations
• National
•District/Forest
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Gap Land Cover use in Fire Management
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Fire Regime
1 - 0-35 year frequency and low to mixed severity
2 - 0-35 year frequency and high severity
3 - 35-100 + year frequency and mixed severity4 - 35-100 + year frequency and high severity
5 - 200 + year frequency and high severity
Non Fuels
BLM Field Office Boundary
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The National Park Service Inventory and Monitoring Program
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Alternative Futures
• Planning for the future is a complicated and uncertain process.
• Futures assessment requires input from stakeholders knowledgeable about policies in a region.
• Possible to investigate several “futures” or points of view at one time.
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Regional Conservation Scenarios Regional Conservation Scenarios Utah High Plateaus Utah High Plateaus
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USE MULTIPLE ASSUMPTIONS for 1) ECOLOGICAL REPRESENATATION and2) SOCIO-ECONOMIC TRADEOFF
TO GENERATE ALTERNATIVE SCENARIOS
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Ecoregion and watersheds
Grid of 750 he spatial analysis
units
Rare Species Occurrence
Derived from Gap Land
Cover
Freshwater Ecosystems
(headwater reaches)
Migratory Species Habitat Value
Land Use Compatibility
Spatial Spatial Optimization Optimization
AlgorithmAlgorithm
Expert Review
and Refinemen
t
Spatial Optimization
Meeting Multi-Criteria Objectives
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Principle Effects of Land Cover on Watershed Response
Precipitation
Evapotranspiration
InfiltrationGroundwater
InterceptionRunoff VolumePeak FlowSediment YieldWater Quality
Land cover
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Watershed Discretization (model elements)
++
LandCover
Soil
Rain
Results
Run model and import results
Intersect model elements with
Digital Elevation
Model (DEM)
Sediment yield (t/ha)Sediment discharge (kg/s)
Water yield (mm)Channel Scour (mm)
Transmission loss (mm)Peak flow (m3/s or mm/hr)
Surface runoff (mm)Sediment yield (kg)
Percolation (mm)Runoff (mm or m3)
ET (mm)Plane Infiltration (mm)
Precipitation (mm)Channel Infiltration (m3/km)
SWAT OutputsKINEROS Outputs
AGWA Inputs and Outputs
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AGWA Inputs
Land Cover Soils DEM - Elevation
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AGWA-SWAT Water Yield
(millimeters)
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AGWA-SWAT Sediment Yield
(tons/hectare)
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Future?
Other Regional GAP projects?
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