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This file contains the polygon SDE Feature Class for Federal Fluid Minerals(Oil and Gas) for the Bureau of Land Management(BLM)Montana/Dakotas. Federal Fluid Minerals as well as Federal Lease status and Indian Minerals/Leases are included. Plat maps are used to find federal mineral ownership and the Bureau of Land Management's LR2000 database is used to find current leasing status.
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Collection of 4 assessments for Upland Streams and Rivers. The Condition Index ranks stream segments according to how well they meet the Desired State described qualitatively and quantitatively in the draft Integrated Science Agenda (v4). From the Condition Index, 3 assessments are derived that rank opportunities for management and restoration of conditions included in the Condition Index – Watershed Land Use, Riparian Cover, and Stream Meander. Watershed Land Use management opportunities are based on the proportion of undisturbed land in the contributing (i.e. cumulative) watershed such that stream segments meeting the Desired State are considered Maintenance opportunities (values 5-6). Those that do not meet the...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Protection Opportunity action map for the Upland Hardwood (Woodland) habitat system ranks pixels (250-m) based primarily on the Upland Hardwood (Woodland) Condition Index such that unprotected sites within healthy landscapes are ranked higher than those in very fragmented landscapes. Ranks are increased by information on existing partner interest (i.e. stated priority areas), elevated risk of change by 2060, and predicted occupancy of a majority of species identified in the GCPO LCC’s draft Integrated Science Agenda (v4)....
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This data represents an assessment of forest composition used in the ecological assessment of upland hardwood systems by the GCPO LCC. We used a combination of remote sensing products including 2011 National Land Cover Database (NLCD) forest classes and the 2011 MAV forest classification layer produced by the Lower Mississippi Valley Joint Venture to delineate patches of all forest types in the GCPO LCC. We used NLCD as the primary data source when assessing forests outside the GCPO LCC MAV subgeography, and the LMVJV forest classification as the primary data source for forest assessment within the MAV. NLCD was developed using 2011 Landsat TM imagery, with forest classes including only areas with trees exceeding...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: BIOSPHERE, BIOSPHERE, Conservation planning, Data, EARTH SCIENCE, All tags...
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Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. HABITAT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD. 2) Moderate > 0.5 and < 1.0 SD. 3)...
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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This data release provides the georeferenced boundaries that delimit each spatial unit of the Great Lakes Regional Aquatic Gap Analysis Project (GLGap) Coastal Hydrospatial Framework at each spatial scale from the local 90m cell to the entire Laurentian Great Lakes system and from the shoreline to the deepest offshore waters. The U.S. Geological Survey and the U.S. Fish and Wildlife Service collaborated to design a universal framework of spatial areas that encompass all space of the Laurentian Great Lakes proper. Agglomeration of the finest units (90m cells) form coarser, broader scale units. Finer units are nested within the coarser units at six spatial scales, labeled as Local Cells, Aquatic Habitat Areas, Coastal...
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Live tree species basal area from 2000 - 2009 for loblolly pine (Pinus taeda), longleaf pine (Pinus palustris), shortleaf pine (Pinus echinata), and slash pine (Pinus elliottii) clipped to the Gulf Coastal Plains and Ozarks LCC geography.Data were derived from the USFS live tree species basal area of the contiguious United States (2000-2009) Wilson, Barry T.; Lister, Andrew J.; Riemann, Rachel I.; Griffith, Douglas M. 2013. Live tree species basal area of the contiguous United States (2000-2009). Newtown Square, PA: USDA Forest Service, Northern Research Station. Abstract from html metadata for USFS live tree species basal area of the contiguious United States (2000-2009). This data product contains raster maps...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: BIOSPHERE, BIOSPHERE, Basal Area, Conservation planning, Data, All tags...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. It represents a relative ranking of HUC12 watersheds according to the quantity and quality of habitat as described in the GCPO LCC’s draft Integrated Science Agenda (v4). Watersheds (HUC12) were ranked by the presence, quantity and quality of the Open Pine habitat system (includes longleaf, shortleaf and loblolly systems) within the 5 sub-geographies of the GCPO LCC region. Once ranked, watersheds were classified (e.g., “Top 10%”) based on the proportion of the total Open Pine area (current + potential) contained within the...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Management Opportunity action map for the Tidal Marsh habitat system ranks pixels (10-m) for 3 general classes of conservation actions. Maintenance pixels (values 7-9) are currently estimated to meet the site condition Endpoints in the GCPO LCC’s draft Integrated Science Agenda (v4). Enhancement pixels (values 4-6) are those that are currently classified as Tidal Marsh but do not meet the site condition Endpoints in the Science Agenda. Restoration pixels (values 1-3) are those that are currently in a different land use but...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. It represents a relative ranking of HUC12 watersheds according to the quantity and quality of habitat as described in the GCPO LCC’s draft Integrated Science Agenda (v4). Watersheds (HUC12) were ranked by the presence, quantity and quality of the Tidal Marsh habitat system (includes brackish and saltwater marsh) within the 5 sub-geographies of the GCPO LCC region. Once ranked, watersheds were classified (e.g., “Top 10%”) based on the proportion of the total Tidal Marsh area (current + potential) contained within the watershed....
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Description of condition index value scores for estuarine tidal marsh along and within 10 km of the GCPO LCC Gulf Coast subgeography. A series of raster calculations were used in a dichotomous decision-based framework to compile a per-pixel draft condition index value at a 10 m resolution for GCPO estuarine tidal marsh based on the number of configuration and condition endpoints met within each marsh pixel. Pixels not identified as a estuarine marsh but that were identified as having the potential to be marsh were given a score of 1, provided the pixels were not classified as developed. Potential estuarine tidal marsh pixels were derived from a combination of potential estuarine tidal marsh classes in the Landfire...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AQUATIC ECOSYSTEMS, AQUATIC ECOSYSTEMS, BIOSPHERE, BIOSPHERE, BIOSPHERE, All tags...
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The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's mean maximum and minimum January temperature from PRISM 1981-2010 4km data (resampled to 30m resolution). These values, which cover the conterminous United States, will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds (https://streamstats.usgs.gov/). The StreamStats application provides access to spatial analysis tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, to retrieve basin...
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The U.S. Geological Survey (USGS) computed rasters of pre-solved values for the watersheds draining to the pixel delineation point representing the watershed's percent forested land cover from the National Land Cover Dataset (NLCD) 2016 data (land cover values 41-43). These values, which cover the conterminous United States at a scale of 30m pixel size, will be served in the National StreamStats Fire-Hydrology application to describe delineated watersheds ( https://streamstats.usgs.gov/ ). The StreamStats application provides access to spatial analysis tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. It represents a relative ranking of HUC12 watersheds according to the quantity and quality of habitat as described in the GCPO LCC’s draft Integrated Science Agenda (v4). Watersheds (HUC12) were ranked by the presence, quantity and quality of the Upland Hardwood (Forest) habitat system (includes upland hardwood, oak-hickory, mixed mesophytic, southern mixed mesic, and maritime forest types) within the 5 sub-geographies of the GCPO LCC region. Once ranked, watersheds were classified (e.g., “Top 10%”) based on the proportion of...
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The purpose of this data set is support resource allocation decisions (i.e. where to invest conservation effort) within the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative. The Condition Index ranks pixels (250-m) according to how well they meet the Desired State for the Upland Hardwood (Woodland) habitat system, which is described qualitatively and quantitatively in the GCPO LCC’s draft Integrated Science Agenda (v4). Higher values indicate sites closer to the Desired State. Value of 1 indicates areas appropriate for restoration but currently under an alternative land use (i.e. potential habitat). Please see PDF file in the Upland Hardwood (Woodland) folder in the Blueprint Gallery at https://gcpolcc.databasin.org/...
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Standing dead trees, or snags, are an important habitat element in any forested system, and provide diurnal or seasonal shelter for many LCC priority species. The ISA landscape endpoint for snag density in upland hardwood woodland and forest systems targets one large (≥16” dbh) snag for every five acres of forest (or approximately ~0.2 large snags/acre), reflected by cavity-roosting habitat needs of the silver-haired bat (Lasionycteris noctivagans) and ample other avian, and mammalian species that require cavities in snags to carry out their life history. We used USFS imputed density of large (>16” dbh) snags data (USDA Forest Service Remote Sensing Applications Center, personal communication) extracted through...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: BIOSPHERE, BIOSPHERE, Conservation planning, Data, EARTH SCIENCE, All tags...
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This layer was created by selecting classes relevant to conservation of the grassland-prairie-savanna broadly defined habitat from the LANDFIRE Existing Vegetation Type (evt) spatial data product clipped to the boundary of the GCPO LCC. The layer was generated as in input layer for the Draft Grassland Condition Index raster data layer in support of the GCPO LCC rapid ecological assessment of the Grassland-Prairie-Savanna Priority Habitat. In selecting vegetation types, “grasslands” were defined as any landscape dominated by grass, excluding classes considered to be features of other priority habitats, such as marshes, dunes, glades, woodlands, and pine savanna. The 44 selected grassland classes included pasture/hay...


map background search result map search result map Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Live Pine Tree Species Basal Area (2000 -2009) in the GCPO LCC (Loblolly, Longleaf, Shortleaf, Slash) Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Federal Fluid Minerals Leases (Oil and Gas) for the Bureau of Land Management Amount of inflow stored in upstream dams-rivers Barcode Value for GCPO LCC Estuarine Tidal Marsh GCPO Grassland existing vegetation type from LANDFIRE Mean Forest Composition in 10 km Landscape (GCPO LCC) Open Pine Watershed Ranks Density of large snags (>16") per acre (GCPO geography) Tidal Marsh Management Opportunities Tidal Marsh Watershed Ranks Upland Hardwood Forest Watershed Ranks Upland Hardwood Woodland Condition Index Upland Hardwood Woodland Protection Opportunities Upland Streams & Rivers Grouped Assessments Hydrospatial Framework for the Laurentian Great Lakes Determining Priority Amphibian and Reptile Conservation Areas (PARCAs) in the South Atlantic landscape, and assessing their efficacy for cross-taxa conservation: Geographic Dataset Pre-computed mean January maximum and minimum temperature rasters from PRISM 1981-2010 from the conterminous United States, for the StreamStats Fire-Hydrology application 2021 Precomputed Percent Forested-Area Rasters Derived from NLCD 2016 in Support of the StreamStats Fire-Hydrology Application, Conterminous United States Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Determining Priority Amphibian and Reptile Conservation Areas (PARCAs) in the South Atlantic landscape, and assessing their efficacy for cross-taxa conservation: Geographic Dataset GCPO Grassland existing vegetation type from LANDFIRE Upland Streams & Rivers Grouped Assessments Barcode Value for GCPO LCC Estuarine Tidal Marsh Tidal Marsh Management Opportunities Tidal Marsh Watershed Ranks Upland Hardwood Forest Watershed Ranks Open Pine Watershed Ranks Upland Hardwood Woodland Protection Opportunities Upland Hardwood Woodland Condition Index Density of large snags (>16") per acre (GCPO geography) Mean Forest Composition in 10 km Landscape (GCPO LCC) Live Pine Tree Species Basal Area (2000 -2009) in the GCPO LCC (Loblolly, Longleaf, Shortleaf, Slash) Hydrospatial Framework for the Laurentian Great Lakes Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Amount of inflow stored in upstream dams-rivers Pre-computed mean January maximum and minimum temperature rasters from PRISM 1981-2010 from the conterminous United States, for the StreamStats Fire-Hydrology application 2021 Precomputed Percent Forested-Area Rasters Derived from NLCD 2016 in Support of the StreamStats Fire-Hydrology Application, Conterminous United States Federal Fluid Minerals Leases (Oil and Gas) for the Bureau of Land Management