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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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This zipped folder includes a file geodatabase that contains the spatial data sets gathered for the second phase of the Arid Land Initiative’s Landscape Conservation Design activity in the Columbia Plateau Ecoregion, as well as an excel file with information about the Ecological Integrity Assessment (EIA) data variables. This analysis, which was funded by the Great Northern Landscape Conservation Cooperative, is fully described in the 2015 ALI report also available on ScienceBase, here.The file geodatabase contains the Priority Conservation Areas identified using Marxan in the first phase of the analysis. For the second phase, numerous statistics summarizing representing current conservation value and vulnerability...
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To support the ALI spatial priorities analysis, the LANDFIRE rasters in this geodatabase were downloaded from http://www.landfire.gov/datatool.php, and clipped to the Washington Wildlife Habitat Connectivity Working Group's (WHCWG) Columbia Plateau (CP) study area, which is the CP ecoregion with a 25km buffer. They were also projected to the HabConnectProjectArea_North_America_Albers_Equal_Area_Conic projection, a custom projection developed by the WHCWG for their CP analysis and also used for the ALI Marxan analysis. The data were downloaded in March 2013. Since then, some (but not all) of these datasets have been updated. The included layers are: - biophysical settings - succession class - existing vegetation...
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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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These are the Python scripts used to create the scorecards for the Phase 2 report. They are primarily provided for reference, and require library installation and several local files to run properly. If anyone is interested in running a modeified version of these scripts for a similar purpose, please contact Madeline Steele (madeline_steele@fws.gov). One script makes map PNGs from an ArcMap mxd with styling that varies with scale, and the other pulls these maps and other information together to create the scorecard PDFs.
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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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Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including...
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This file geodatabase includes the 2013 Land Use/Land Cover (LULC) and the Marxan target rasters that were derived from it. For an explanation of why targets were selected and how they were derived, please refer to the report. The Python scripts used to generate the layers are also available via the GNLCC portal.
    map background search result map search result map ALI spatial prioritization python scripts Arid Lands Initiative land use/land cover layer and derived rasters Lumped EPA Level IV Ecoregions for use as geographic strata LANDFIRE datasets (March 2013), clipped and projected ALI Marxan Analysis Planning Units 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 Python scripts used to create scorecards ALI Phase 2 Data ALI spatial prioritization python scripts Arid Lands Initiative land use/land cover layer and derived rasters Lumped EPA Level IV Ecoregions for use as geographic strata LANDFIRE datasets (March 2013), clipped and projected ALI Marxan Analysis Planning Units Phase 2 Final Report: "Assessing the Condition and Resilience of Collaborative Conservation Priority Areas in the Columbia Plateau Ecoregion" Python scripts used to create scorecards ALI NetWeaver Fuzzy Logic models used to assess relative climate change vulnerability of priority areas ALI Phase 2 Data