June – Sept 2011. As a collaborative, LCCs seek to identify best practices, connect efforts, identify gaps, and avoid duplication through improved conservation.

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Presentation transcript:

June – Sept 2011

As a collaborative, LCCs seek to identify best practices, connect efforts, identify gaps, and avoid duplication through improved conservation planning and design. Partner agencies and organizations coordinate with each other while working within their existing authorities and jurisdictions. Secretarial Order No establishes Landscape Conservation Cooperatives (LCCs), a network of public-private partnerships that provide shared science to ensure the sustainability of America's land, water, wildlife and cultural resources. Landscape Conservation Cooperatives (LCCs) recognize that these challenges transcend political and jurisdictional boundaries and require a more networked approach to conservation—holistic, collaborative, adaptive and grounded in science to ensure the sustainability of America's land, water, wildlife and cultural resources.

Kansas Department of Wildlife Parks and Tourism, and Kansas Applied Remote Sensing Program Kansas Department of Wildlife Parks and Tourism, and Kansas Applied Remote Sensing Program Oklahoma Department of Wildlife Conservation Oklahoma Department of Wildlife Conservation New Mexico Department of Game and Fish New Mexico Department of Game and Fish Nebraska Game and Parks Commission Nebraska Game and Parks Commission Texas Parks and Wildlife Department Texas Parks and Wildlife Department Pheasants Forever / Quail Forever Pheasants Forever / Quail Forever National Wild Turkey Federation National Wild Turkey Federation Rainwater Basin Joint Venture Rainwater Basin Joint Venture Bureau of Land Management Bureau of Land Management US Fish and Wildlife Service US Fish and Wildlife Service Colorado Parks and Wildlife Colorado Parks and Wildlife The Nature Conservancy The Nature Conservancy Bureau of Reclamation Bureau of Reclamation National Park Service National Park Service US Geological Survey US Geological Survey US Forest Service US Forest Service Ducks Unlimited Ducks Unlimited

Survey Framework PeopleDataApplications Infrastructure

 Capacity unevenly distributed within and between organizations  Work at varying scales, extents, boundaries  Large pool of skills and knowledge but tend to work in silos

Bureau of Land Management

National Park Service

Bureau of Reclamation

US Fish and Wildlife Service

US Forest Service

Ducks Unlimited

 Collaborative data development could achieve more than individual projects  Limited by restrictions on data sharing  Consistent, high resolution land cover needed across region  Could help coordinate LiDAR  Climate, energy development, human impacts, ecological processes

 Most require additional capacity for developing applications  Esri – based map applications spreading, some are outdated ArcIMS sites

Options

 Additional server capacity needed for large datasets  Challenging to piece together data from existing portals / clearinghouses  Cloud infrastructure is worth evaluating

OrganizationDataApplicationsInfrastructureKnowledge NPSvegetation, land covermonitoring protocols system architecture, programming BORsoils, riparian vegetation, land records downscaled climate data USGSmultivariate assessment energy development, cumulative effects geoportals, online repositories application development, modeling BLMGIS data serverapplication development FWSrefuge veg. data and imagery GIS data servertraining USFSvegetation CDOWupdated land covertraining KDWPT / KARSLiDAR land cover, wetlands web applications development, wetland mapping protocol, training spatial database administration

OrganizationDataApplicationsInfrastructureKnowledge NGPCland cover, LiDARGIS data servermodeling ODWCland coverSpatial Planning Tool, LEPC DSS programming (flex) TPWDland coverGIS data portal, LEPC reporting tool landscape ecology, environmental assessment NMDGFGIS data server DUland use change SPOT imagery landscape ecology, eCognition NWTFwild turkey habitat climate data training PFQF RWBJVland cover, wetlands, LiDAR, species distribution models decision support tools SDEimage analysis, eCognition metadata TNCland cover, climate dataweb map applications cloud infrastructure geoportal training map production, application development, database administration, system design

 Create data development working groups (starting with land cover)  Evaluate technology options  Implement data sharing portal

 Define requirements for applications  Coordinate acquisition of licensed data  Improve internal knowledge-sharing

 Increase external communication

 Ty Guthrie  Ric Riester  Misti Vazquez  Mike Carter  James Broska