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This is a set of scripts developed by Madeline Steele in 2013 as a part of the Arid Lands Initiative (ALI) spatial prioritization analysis. They are provided here both as methodological documentation and because they may be useful for other projects. They are not set up to be imported into an ArcGIS toolbox, and all path names would have to be changed before they could be used. They are commented, and variables should be at the top, but they are probably not very useful without a bit of previous Python experience. Please feel free to use and/or splice and dice these scripts, and contact Madeline if you have any questions. Madeline Steele GIS Specialist U.S. Fish and Wildlife Service, Pacific Region/SWCA madeline_steele@fws.gov,...
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These layers show land ownership and status of all Canadian and U.S. lands that fall within the boundaries of the Great Northern Landscae Conservation Cooperative. Layers were compiled from various sources, each with it’s own metadata reference file.
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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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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".
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This project is part of a larger effort to design a sustainable landscape for wildlife and ecological systems in the Columbia Plateau ecoregion. Another goal of this effort is to test and describe different approaches to doing “Landscape Conservation Design” (LCD) and working towards articulating a toolkit of approaches for LCD. This report documents a task related to further develop and testing of this toolkit as applied to priority areas in the Columbia Plateau). This project focuses on a rapid assessment method of several potential areas across a large landscape. This assessment project builds from these previous ALI efforts (ALI 2013 and ALI 2014) by providing decision support for strategy development. ...
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A download link for the report and its appendices is below ("USFWS 2015 Assessing the Condition and Climate Resilience of Collaborative Conservation Priority Areas in the Columbia Plateau Ecoregion.pdf"). For those who don't need the appendices or who have a slow internet connection, a version with the report only is also provided ("USFWS 2015 Report only no appendices.pdf"). The scorecard appendix is also posted separately ("USFWS_2015_Appendix_A_PCA_Scorecards.pdf").Related Documents and Data:A companion report describing the Ecological Integrity Assessment and its results is here. An addendum report with scorecards and CCVA results for the ALI's Priority Linkage Areas (PLAs) is here (the report available on this...
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The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB tha begin with "S". This includes...
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This Esri file geodatabase contains the Arid Lands Initiative’s Priority Core Areas (PCAs) and Priority Linkage Areas (PLAs). For all PCAs and PLAs over 5,000 acres in size, we developed a "scorecard" that presents its rank, relative to the other PLAs, for a range of threats and values. Both the raw, continuous values and the ranks are available in the attributes of these feature classes. Details about each field are provided in the fields metadata section. The citations in the fields metadata can all be found in the references section of the Phase 2 final report, available here. The full report with PCA scorecards is available here, and the addendum report with PLA scorecards is here. Most of the raw input...
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After identifying collaborative conservation priority areas (see this report for details), the Arid Lands Initiative needed to assess the relative climate change vulnerability of these areas to better understand what management strategies might be most appropriate in each. This Climate Change Vulnerability Assessment (CCVA) for the ALI’s Priority Core Areas (PCAs) is fully described in this report. An addendum report, here, presents a complementary CCVA that was developed for the ALI’s Priority Linkage Areas (PLAs). PCAs were assessed relative to other PCAs, and PLAs relative to other PLAs, so they both have their own models attached below. Note that a Netweaver2 Developer License (http://www.rules-of-thumb.com/NetWeaver/)...
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This database includes fire perimeter polygons for fires which reached a size >= 385 ha, and burned between the years of 1984-2011. 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 burned. MONTH: The month the fire burned. If no month data is available the field includes a 0. DAY: The date the fire burned. Depending on the agency which provided the data, this may be the ignition date, the date of initial observation, the date of initial response, or the date the fire was extinguished....
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This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the conterminous United States. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their depth,...
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Patch importance provides a measure of how large, intact, and connected a “patch” of habitat is for each biome type. More “intact” patches are depicted using a more saturated (darker) color, whereas less intact have lighter, less saturated colors. Centrality flow lines depict the network of movement pathways that conceptually connect with the patches of a given biome type. Thicker and darker red lines indicate more central locations where more “movement flow” is predicted to occur, while the location of the lines depicts where the movement pathways are best placed to avoid places of high human activity.
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This dataset represents the study area boundary of the Green River Basin Landscape Conservation Design project. This feature was generated from the USDA NRCS HU4 dataset and is comprised of the following features: 1404: Great Divide - Upper Green; 1405: White - Yampa; 1406: Lower Green.


    map background search result map search result map NWI (National Wetlands Inventory) for the ALI analysis area TIGER 2010 data for the ALI analysis area Resistance Surface for the ALI analysis area TNC Land Facets for the ALI analysis area ALI spatial prioritization python scripts ALI Marxan Analysis Planning Units GNLCC Large Fire Database, 1984-2011 GNLCC Refugia Project Sampled Fires Crawford and Rocchio, 2014: Assessing the Condition of Spatial Priority Areas in the Columbia Plateau Ecoregion Phase 2 Final Report: "Assessing the Condition and Resilience of Collaborative Conservation Priority Areas in the Columbia Plateau Ecoregion" ALI NetWeaver Fuzzy Logic models used to assess relative climate change vulnerability of priority areas BC Grizzly Bear Population Units Green River Basin LCD Study Area Boundary Great Northern Ecological Connectivity Data Atlas Transboundary Biome-Level Patch Importance and Centrality Flowlines GNLCC Jurisdictional Boundaries Priority Core Area (PCA) and Priority Linkage Area (PLA) geodatabase ALI Conservation Scorecards Input Data Layers NWI (National Wetlands Inventory) for the ALI analysis area TIGER 2010 data for the ALI analysis area TNC Land Facets for the ALI analysis area ALI spatial prioritization python scripts ALI Marxan Analysis Planning Units Crawford and Rocchio, 2014: Assessing the Condition of Spatial Priority Areas in the Columbia Plateau Ecoregion Phase 2 Final Report: "Assessing the Condition and Resilience of Collaborative Conservation Priority Areas in the Columbia Plateau Ecoregion" Priority Core Area (PCA) and Priority Linkage Area (PLA) geodatabase ALI Conservation Scorecards Input Data Layers ALI NetWeaver Fuzzy Logic models used to assess relative climate change vulnerability of priority areas Resistance Surface for the ALI analysis area Green River Basin LCD Study Area Boundary GNLCC Refugia Project Sampled Fires Great Northern Ecological Connectivity Data Atlas Transboundary Biome-Level Patch Importance and Centrality Flowlines GNLCC Large Fire Database, 1984-2011 GNLCC Jurisdictional Boundaries BC Grizzly Bear Population Units