W.G. Kepner, P. Comer, D. Osborne, D. Semmens, and K. Gergely

Preview:

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 Presentation

Citation preview

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

Southwest Regional GAP Project

Arizona, Colorado, Nevada, New Mexico, and Utah

US-IALE 2004, Las Vegas, Nevada: Transdisciplinary Challenges in Landscape Ecology

BLM Ownership

Vegetation Treatments EIS

National Forest System Lands

• Regions

• Stations

• National

•District/Forest

Gap Land Cover use in Fire Management

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

The National Park Service Inventory and Monitoring Program

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.

Regional Conservation Scenarios Regional Conservation Scenarios Utah High Plateaus Utah High Plateaus

USE MULTIPLE ASSUMPTIONS for 1) ECOLOGICAL REPRESENATATION and2) SOCIO-ECONOMIC TRADEOFF

TO GENERATE ALTERNATIVE SCENARIOS

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

Principle Effects of Land Cover on Watershed Response

Precipitation

Evapotranspiration

InfiltrationGroundwater

InterceptionRunoff VolumePeak FlowSediment YieldWater Quality

Land cover

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

AGWA Inputs

Land Cover Soils DEM - Elevation

AGWA-SWAT Water Yield

(millimeters)

AGWA-SWAT Sediment Yield

(tons/hectare)

Future?

Other Regional GAP projects?

Recommended