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Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
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A “gateway” using Data Basin technology has been developed to serve the data integration, collaboration and outreach needs of the NPLCC. The gateway will continue to be a customized interface of the Data Basin platform that includes special branding, curation of spatial content, and direct links to selected sites in support of projects funded by and for the NPLCC . Conservation Biology Institute will add to the “gateway” a spatial data visualization tool to showcase priority data from the Pacific Marine and Estuarine Fish Habitat Partnership.
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In 2014 and 2015, the Arid Lands Initiative developed “Conservation Scorecards” for their Priority Core Areas (PCAs) and Priority Linkage Areas (PLAs). To create the scorecards, we collected numerous existing geospatial datasets that could help provide decision support for ALI land managers, then summarized them to the geometry of PCAs and PLAs (e.g., took the spatial mean of a Landscape Condition Model). To better understand the analysis, please read the report, “Assessing the Condition and Resilience of Collaborative Conservation Priority Areas in the Columbia Plateau Ecoregion,” available here. The PCA scorecards pdfs are attached to the main report as an appendix, and the PLA scorecards are included in a short...
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Assemble three sets of downscaled climate data (historic) and projections (future) developed by the USGS and the Climate Impacts Group at University of Washington; evaluate data documentation and formatting, and edit or repair as needed; deliver all climate data in a userfriendly format from mirrored data servers located in Corvallis, OR and Bozeman, MT.The public purpose of this project is ultimately to provide sound scientific support that is critical for guiding planning, decisions and responses aimed at managing the ecosystems of the GNLCC and other LCCs under global change. The objectives of the project are 1) to design and establish a state-of-the-art data server that is fault tolerant and expandable to meet...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Alberta, Applications and Tools, British Columbia, CO-2, All tags...
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(This dataset displays the land facet elevation class) Land facets are a primary component in TNC’s analysis of site resilience to climate change. Their inclusion is based on the assumption that preservation of representative examples of the geophysical ‘Stage’ (ie., topo-edaphic factors) results in protection of a wider variety of species (the ‘Players’). These data represent a land facet classification created for the Pacific Northwest Landscape Resilience project. Each Land Facet has been stratified by terrestrial ecoregions - essentially defining each combination of soil order, elevation zone and slope class as unique from that same combination in another ecoregion. A full description of the development of...
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
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Shapefile of a set of fires sampled from the GNLCC Large Fire Database, 1984-2011. This sampled was collected from across the total variability in climate within the Great Northern Landscape Conservation Cooperative (GNLCC) study area. Additional detail about the topography, climate, and burn severity was collected for this identified sample, and used to model fire refugia and low-severity burn probability within the fire perimeters.Each fire has a unique numeric identifier of “PolyID”. Additional attributes are as follows:FIRE_ID: For those fires with an ID, the ID assigned by the reporting agency of the MTBS project.FIRENAME: Names of those fires which are named. This is uncommon in Canada.YEAR: The year the fire...
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This dataset is an extract of the resistance surface created for the Pacific Northwest Duke Climate Resilience Project. It incorporates data on various human activities from the following data sources: National Landcover Dataset, Energy Infrastructure data from the Ventyx Corporation, National Wetlands Inventory, TIGER 2010 Road Data, active railroads and Dave Theobald's housing density dataset developed from 2010 census data. More details on the creation of this surface can be found in the document "Creation of Resistance Surfaces for the Resistant Kernel Pacific Northwest Duke Landscape Resilience Project".
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.
Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM.


map background search result map search result map Resistance Surface for the ALI analysis area Assemblage, Format and Delivery of Downscaled Climate Data and Projections for the GNLCC Focal Area GNLCC Refugia Project Sampled Fires ALI Conservation Scorecards Input Data Layers Climate Change Resilience in the Pacific Northwest, Land Facets Stratified by Terrestrial Ecoregions, Elevation Class Webinar Webinar ALI Conservation Scorecards Input Data Layers Resistance Surface for the ALI analysis area GNLCC Refugia Project Sampled Fires Climate Change Resilience in the Pacific Northwest, Land Facets Stratified by Terrestrial Ecoregions, Elevation Class Assemblage, Format and Delivery of Downscaled Climate Data and Projections for the GNLCC Focal Area