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<idPurp>Modeled (from satellite imagery) geographic patterns in sagebrush ecological integrity</idPurp>
<idAbs>&lt;div style='text-align:Left;'&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;These data were compiled as a part of a landscape conservation design effort for the sagebrush biome, and are the result of applying a spatially explicit model that assessed geographic patterns in sagebrush ecological integrity and used these results to identify Core Sagebrush Areas (CSAs), Growth Opportunity Areas (GOAs), and Other Rangeland Areas (ORAs). The estimation of sagebrush ecological integrity was derived from a spatial model that characterizes patches with high ecological integrity as those with abundant big sagebrush and perennial grass/forb cover and with minimal annual grass/forb cover, minimal conifers, and minimal human modification. “Core Sagebrush Areas” are places where those high-integrity patches converge to create large intact landscapes. This spatial model was applied over the entire sagebrush biome for several time periods and was estimated for 5 historical time periods between 1998 and 2020, and for one future time period (2030-2060). For each time period, input data were derived from satellite imagery (e.g. data on sagebrush and perennial grass cover), and the spatial model used those input values to estimate sagebrush ecological integrity. This approach to estimating ecological integrity was developed by consultation with experts from across the biome, allowing for the relationship between integrity and plant cover to vary among regions, as described in Doherty et al (2022). These data can be used to inform and prioritize conservation and restoration efforts across the sagebrush biome. For more information, please see - https://www.sciencebase.gov/catalog/item/62d57e89d34e87fffb2dda62 . &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span /&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Spatial Extent: Western CONUS&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Units: "Categories of Sagebrush:&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Non-sagebrush areas (not included in analyses)&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Core habitat areas&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Growth opportunity areas&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Other rangeland areas"&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<idCredit>Doherty, K., Theobald, D.M., Holdrege, M.C., Wiechman, L.A., and Bradford, J.B., 2022, Biome-wide sagebrush core habitat and growth areas estimated from a threat-based conservation design: U.S. Geological Survey data release, https://doi.org/10.5066/P94Y5CDV.</idCredit>
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<useLimit>&lt;div style='text-align:Left;'&gt;&lt;p&gt;&lt;span&gt;The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;</useLimit>
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