Collaboration Bridges Multi-Agency Landscape Conservation ... · Nov 1: Collaborative Team...

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Collaboration Bridges Multi-Agency Landscape Conservation Projects

Transcript of Collaboration Bridges Multi-Agency Landscape Conservation ... · Nov 1: Collaborative Team...

Page 1: Collaboration Bridges Multi-Agency Landscape Conservation ... · Nov 1: Collaborative Team established Nov 17: Collaborative Team Meeting Jan 10: Project Agreement “Finaled” Feb

Collaboration Bridges Multi-Agency Landscape

Conservation Projects

Page 2: Collaboration Bridges Multi-Agency Landscape Conservation ... · Nov 1: Collaborative Team established Nov 17: Collaborative Team Meeting Jan 10: Project Agreement “Finaled” Feb

The ProblemDisparate yet concurrent attempts tobuild decision support tools among:

The SolutionGNLCC’s Demonstration Project

Facilitates:• Cooperation on priority conservation targets and

change agents• Cooperation across data sources and modeling

techniques• Leveraging and efficiencies

An Opportunity for Collaboration

The ResultTransboundary, cross-jurisdictional decision support cooperation

Page 3: Collaboration Bridges Multi-Agency Landscape Conservation ... · Nov 1: Collaborative Team established Nov 17: Collaborative Team Meeting Jan 10: Project Agreement “Finaled” Feb

Nov 1: Collaborative Team established

Nov 17: Collaborative Team Meeting

Jan 10: Project Agreement “Finaled”

Feb 1-2: BLM REA Meeting, Bozeman

March 7: Side Demo Team Mtg, Spokane

April 18-19: Technical Team meeting

May 3-5, BLM REA Mtg, Billings

May 18-19 WGA Meeting, Boise

Project Timeline and Organization

Collaborative TeamEmmerich, Nordyke, Oakleaf (WY)Pierce (WA)Smith, Hess-Herbert (MT)Servheen (ID)Wood, Foster (BLM)Morrison (USFS)Whitfield (HOR)Friel (ESRI, WGA)Olliff, Converse, Finn, Sojda, Watson (GNLCC)

Technical TeamNordyke (WY)Pierce (WA)Hess-Herbert, O’Neal (MT)Servheen, Vecellio, Svankara (ID)Wood (BLM)Morrison (USFS)Whitfield (HOR)Olliff, Converse, Finn (GNLCC)

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Project Agreement—Building Trust

State Partners: Lead on Wildlife Analysis

Federal Partners: Lead on Change Agent Analysis

Both: Share data, base layers, systems

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Components of Collaboration

Define Geographic Scope

Common Species

Crucial Habitats

Conservation Targets/Elements

Conservation Target Attribute

Models

Change Agents

Data sharing and integration

Page 6: Collaboration Bridges Multi-Agency Landscape Conservation ... · Nov 1: Collaborative Team established Nov 17: Collaborative Team Meeting Jan 10: Project Agreement “Finaled” Feb

Collaboration Matrix

Common Wildlife Species

CommonHabitats

Change Agent Analysis

Page 7: Collaboration Bridges Multi-Agency Landscape Conservation ... · Nov 1: Collaborative Team established Nov 17: Collaborative Team Meeting Jan 10: Project Agreement “Finaled” Feb

Downscaled Climate Histories and Future Projections• Leveraged federal (NASA, FWS, USFS,

USGS) & university dollars

GNLCC GeoPortal• Web-based collaboration tools• Leveraged SHC dollars and inter-

agency know-how• Provides never before available

analytical environment

Demonstration Project• Coordination among WGA, BLM, &

USFS generates conceptual and practical synergies

• Leveraged federal, state, and NGO funds

• Consistent data & techniques facilitates compatible, defensible models

Bringing It All Together

The GNLCC GeoPortal Analysis Environment

Energy Siting Data from WGACheatgrass risk data from BLM

Climate projections from USFS

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Role of GNLCC

• Capacity• Coordinate efforts, realize efficiencies• Assist with data acquisition in GYA• Communication

Page 9: Collaboration Bridges Multi-Agency Landscape Conservation ... · Nov 1: Collaborative Team established Nov 17: Collaborative Team Meeting Jan 10: Project Agreement “Finaled” Feb

OutcomeConsistent wildlife models and change agent analysis based on agreed-upon source data

+ Coordinated data sets securely accessed through the web

+ Validated and peer-reviewed modeling techniques

+ Coordinated decision support environment for regional planning and siting

= Public Benefit

Habitat Connectivity AreasGreater Sage-grouse High

Medum

Low

Habitat Connectivity AreasGreater Sage-grouse High

Medum

Low

Demonstration Project Outcome