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The FSim burn probability was used to determine the majority (most common) burn probability within a 4km analysis unit in areas with other conifer vegetation communities withing the ecoregion.
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The FSim burn probability was used to determine the majority (most common) burn probability within a 4km analysis unit in areas with aspen vegetation communities withing the ecoregion.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Forest Retention Index classes for the southeastern United States at 2040 were processed using the Forest Retention Decision Tree and rendered on a 30-meter by 30-meter grid. The Forest Retention Index is used only for current forestland, identified using National Land Cover Database 2011. Many datasets were used as inputs for the Forest Retention Decision Tree, and they can be grouped into five broad categories: Protected, Tier 1 Priority, Tier 2 Priority, Threats to Forest Retention, and Socio-Economic Value of Forests. Protected datasets include Protected Areas Database-United States, National Conservation Easement Database, state-maintained databases, and private datasets volunteered by conservation partners....
The balance between economic needs and natural resource conservation will become more tenuous in the future as a result of a myriad of environmental stressors. We propose a methodology that can help guide forest management practices whenever adequate species locational data and quality forest or land use data exist. More specifically, the results of this study can be used to evaluate alternative land and silviculture management scenarios in terms of creating or maintaining high-quality forest habitat for a specific species. We used data collected on radiotelemetered black bears from 1988 to 2015 to develop a regional habitat model throughout Louisiana and Arkansas using Mahalanobis distance (D2) statistic. We created...
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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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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. These datasets consist of a workspace (folder) containing a collection of gridded datasets plus a personal geodatabase containing several vector datasets. These datasets are designed to be used with the ArcHydro Tools, developed by ESRI in partnership with the U.S. Geological Survey, StreamStats Development Team. The datasets, together with the ArcHydro Tools, allow users to delineate watersheds and compute several watershed characteristics....
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The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.
Tags: Adams, Allegheny, Antarctica, Antarctica, Armstrong, All tags...


map background search result map search result map Mean Forest Composition in 10 km Landscape (GCPO LCC) USGS Topo Map Vector Data (Vector) 28121 Mayburg PA (published 20231221) Shapefile Forest Retention Index for the South at year 2040 BLM REA NGB 2011 Western juniper Climate Change Viability in the NGB 2030 BLM REA NGB 2011 Aspen Burn Probability within 4km Analysis Unit BLM REA NGB 2011 Other Conifer Burn Probability within 4km Analysis Unit USGS US Topo 7.5-minute map for Crandon, WI 2015 USGS US Topo 7.5-minute map for Crandon NE, WI 2013 USGS US Topo 7.5-minute map for Julia Lake, WI 2015 USGS US Topo 7.5-minute map for Mole Lake, WI 2013 USGS US Topo 7.5-minute map for Tipler, WI-MI 2013 USGS US Topo 7.5-minute map for Wabeno, WI 2013 USGS US Topo 7.5-minute map for Russell City, PA 2011 USGS US Topo 7.5-minute map for Russell City, PA 2013 USGS US Topo 7.5-minute map for West Hickory, PA 2013 USGS National Boundary Dataset (NBD) in Wisconsin State or Territory (published 20240215) GeoPackage ArcHydro 8-digit HUC datasets for Idaho StreamStats Geographic Names Information System (GNIS) Federal Codes for PA (published 20240201) pipes USGS Topo Map Vector Data (Vector) 35675 Pleasantville PA (published 20231221) GeoPackage Geographic Names Information System (GNIS) Federal Codes for PA (published 20240201) pipes USGS National Boundary Dataset (NBD) in Wisconsin State or Territory (published 20240215) GeoPackage BLM REA NGB 2011 Western juniper Climate Change Viability in the NGB 2030 BLM REA NGB 2011 Aspen Burn Probability within 4km Analysis Unit BLM REA NGB 2011 Other Conifer Burn Probability within 4km Analysis Unit ArcHydro 8-digit HUC datasets for Idaho StreamStats Mean Forest Composition in 10 km Landscape (GCPO LCC) Forest Retention Index for the South at year 2040