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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northwest CASC > FY 2014 Projects > Spatial Conservation Priorities for Riverine and Riparian Systems in the Columbia Plateau Ecoregion > Approved DataSets ( Show all descendants )

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This project identifies priority areas in the Columbia Plateau Ecoregion to implement conservation strategies for riverine and riparian habitat. This is tailored towards the Arid Lands Initiative (ALI) conservation goals and objectives, and provides the foundation for adaptation to a changing climate. This project adopts a “zoned” approach to identifying focal areas, connectivity management zones and zones for riparian habitat and ecological representation. Through a series of workshops and webinars, the ALI articulated its freshwater conservation goals and targets. Key aspects of these goals included: a focus on non-anadromous salmonid (salmon and steelhead) species, include riparian birds and waterfowl as key...
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The zip file below contains raw input and output files for the 4 final version of the ALI Marxan model. The versions all have the same number of runs (100), number of iterations (35 million), SPF factor for each conservation feature,(100) and BLM (0.35). They vary in overall goal levels and whether or not facets were targeted. The four versions are: (1) high overall goal levels, facets not targeted;(2) medium overall goal levels, facets not targeted; (3) medium overall goal levels, facets not targeted; (4) medium overall goal levels, facets targeted at 15%. Please see the associated report (ALI 2013) for further details, and contact Madeline with any questions.
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This project identifies priority areas in the Columbia Plateau Ecoregion to implement conservation strategies for riverine and riparian habitat. This is tailored towards the Arid Lands Initiative (ALI) conservation goals and objectives, and provides the foundation for adaptation to a changing climate. This project adopts a “zoned” approach to identifying focal areas, connectivity management zones and zones for riparian habitat and ecological representation. Through a series of workshops and webinars, the ALI articulated its freshwater conservation goals and targets. Key aspects of these goals included: a focus on non-anadromous salmonid (salmon and steelhead) species, include riparian birds and waterfowl as key...
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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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The layers in this map service represent 4 different version of the final ALI Marxan model. Selection frequency layers show how often each hexagon was selected over 100 runs of a specific version. The "Best Solution" is not a perfect solution, but simply the best scoring solution out of 100 runs for each version.
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Conservation Success Index: Wild Trout – Interior Columbia River Basin The CSI – as originally developed - is an aggregate index comprised of four different component groups: Range-wide Condition; Population Integrity; Habitat Integrity; and Future Security. Each CSI group has five indicators that describe a specific component of each group. Each indicator is scored from 1 to 5 for each subwatershed, with a score of 1 indicating poor condition and a score of 5 indicating good condition. Indicator scores are then added to obtain the subwatershed condition for a Group, and Group scores are added for a CSI score for a subwatershed. CSI scores can then be summarized to obtain the general range of conditions within...
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In 2014, the Arid Lands Initiate (ALI) developed a set of shared Priority Core Areas (PCAs) for conservation using a Marxan-based approach (see the Phase 1 report here for details). Subsequently, we conducted a Climate Change Vulnerability Assessment CCVA) for those PCAs, and the map service below displays those results. The full background and methods for creating for this map service, along with results interpretation, are provided in the final report for the second phase of the project (available here). A basic summary is provided below: A significant amount of climate change research has been completed in the region, much of it funded by the GNLCC and the NW Climate Science Center, and it provided a firm...
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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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This dataset contains the data described in Looney and Eigenbrode's 2012 Natural Areas journal article (Characteristics and Distribution of Palouse Prairie Remnants: Implications for Conservation Planning), including potential Palouse remnants, a boundary for the study area, and a set of potential remnants that lay outside of the study area. While the potential remnants inside the area were reviewed based on limited ground-truthing described in the article, those outside the area were not. As such, there are likely potential remnants that are in fact re-colonized field margins or drainage ditches, or CRP-like plantings. Since the focus was primarily on eyebrows located in agricultural contexts, many of the river...
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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 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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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. This...
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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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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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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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NatureServe Vista (Vista) is a free ArcGIS extension that was integrated into the project to support analysis in the project, as well as continued “as needed” implementation planning. Vista is a broad tool that could support the following tasks: Integrate spatial data Define “conservation elements” or those features of conservation assessment and planning interest Collect and populate a database of conservation element indicators and requirements such as retention goal, minimum occurrence size, condition threshold, and response (e.g., condition model parameters) of the element to stressors and conservation practices Characterize patterns of diversity, value (e.g., imperilment status), and data uncertainty Characterize...
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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/)...


map background search result map search result map ALI Marxan Analysis Results WMS 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 LANDFIRE datasets (March 2013), clipped and projected ALI Marxan Analysis Planning Units Final ALI Marxan folders Potential Palouse Prairie Remnants Wild Trout - Interior Columbia Basin ALI Riverine Assessment Project Area 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 PCA Relative Climate Change Vulnerability Assessment Results Web Mapping Service EIA Field Data for Columbia Plateau Priority Areas Arid Lands Initiative Vista Project ALI Conservation Scorecards Input Data Layers ALI Priority areas as linear networks (Figure 12) Selection frequency score Figure(6) ALI PCA Relative Climate Change Vulnerability Assessment Results Web Mapping Service ALI Marxan Analysis Results WMS TIGER 2010 data for the ALI analysis area TNC Land Facets for the ALI analysis area ALI spatial prioritization python scripts LANDFIRE datasets (March 2013), clipped and projected ALI Marxan Analysis Planning Units Final ALI Marxan folders Potential Palouse Prairie Remnants Python scripts used to create scorecards EIA Field Data for Columbia Plateau Priority Areas Arid Lands Initiative Vista Project ALI Conservation Scorecards Input Data Layers ALI NetWeaver Fuzzy Logic models used to assess relative climate change vulnerability of priority areas ALI Phase 2 Data Resistance Surface for the ALI analysis area ALI Priority areas as linear networks (Figure 12) Wild Trout - Interior Columbia Basin ALI Riverine Assessment Project Area Selection frequency score Figure(6)