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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on biome velocity and using a terrestrial (moving window) anlaysis. The values range from 0 to 1 and are unitless, where Vhg = Eh x (1-Ag). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on temperature change using a watershed-based analysis. The values range from 0 to 1 and are unitless, where Vtw = Et x (1-Aw). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
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The ecologically-relevant geophysical (ERGo) landforms dataset is a comprehensive classification of landforms based on hillslope position and dominant physical processes that covers most of North America. Four hillslope positions form a natural sequence of topographic units along the catena: ridges/peaks (summits), upper slopes (shoulders), lower slopes (foot slopes), and valley bottoms (toe slopes). The position within each of these hillslopes as a function of solar orientation to reflect how ecological processes (especially soil moisture and evapotranspiration) are influenced by insolation. Also included are very flat (i.e. areas 50°). We provide these data here at 30 m resolution, grouped by Landscape Conservation...
Exposure (vulnerability) index for the future time period (2061-2080) representing projected climate conditions from the Meteorological Research Institute's Coupled Atmosphere-Ocean General Circulation Model, version 3, and the rcp85 emissions scenario. The exposure model uses LANDFIRE vegetation data and Worldclim climate data .The raster values represent exposure scores for the corresponding vegetation type. The modeled vegetation types can be spatially associated with the exposure values by overlaying them with the "landfire_veg_sw_300m.tif" raster.Exposure values represent where the location falls in climate space relative to its recent historical distribution:5 (core 5% of historical climate space); 10 (5 -...
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The data contained in this report was compiled, modified, and analyzed for the Wyoming Landscape Conservation Initiative (WLCI) Integrated Assessment (IA). The WLCI is a long-term science based effort to assess and enhance aquatic and terrestrial habitats at a landscape scale in southwest Wyoming while facilitating responsible energy development through local collaboration and partnerships. The IA is an integrated synthesis and analysis of WLCI resource values based on best available data and information collected from multiple agencies and organizations. It is a support tool for landscape-scale conservation planning and evaluation, and a data and analysis resource that can be used for addressing specific management...
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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI,created using ArcGIS 10.2.2) values for Nevada during the breeding season.
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Crop cover maps have become widely used in a range of research applications. Multiple crop cover maps have been developed to suite particular research interests. The National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) are a series of commonly used crop cover maps for the conterminous United States (CONUS) that span from 2008-2013. In this investigation we wanted to expand the temporal coverage of the NASS CDL archive back to 2000 by creating yearly NASS CDL-like crop cover maps derived from a classification tree model algorithm. We used over 11 million crop sample records to train a classification tree algorithm and to develop a crop classification model (CCM). The model was used to create...
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Mean modeled snow-water-equivalent (meters) on February 20, the date of peak basin-integrated mean modeled snow-water-equivalent (meters) for the T4 climate change scenario. Reference period: the period 1989 – 2011 for the Upper Deschutes River Basin domain, for which observed historical meteorology is used for model input. T4 scenario: the observed historical (reference period) meteorology is perturbed by adding +4°C to each daily temperature record in the reference period meteorology, and this data is then used as input to the model.


map background search result map search result map Modeled snow-water-equivalent, projected seasonal peak values under T4 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] Vhg: terrestrially-defined vulnerability, biome velocity for Great Northern LCC Vtw: hydrologically-defined vulnerability, temperature change for Great Northern LCC Ecologically-relevant landforms for Plains and Prairie Potholes LCC Spring Season Habitat Suitability Index raster dataset Modeled conterminous United States Crop Cover datasets for 2012 WLCI - Important Agricultural Lands Assessment (Input Raster: Resource Index-Terrestrial-Agriculture-Important Agricultural Lands) Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T2 from 1983 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 1988 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 18 July 1990 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T4 from 14 July 1999 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T6 from 2000 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2000 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P6 from 2006 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T6 from 2006 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2007 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P1, T1, and T3 from 2009 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2010 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P6 and P7 from 2011 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T6 from 2000 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T2 from 1983 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T4 from 14 July 1999 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2010 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T6 from 2006 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2000 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 1988 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P1, T1, and T3 from 2009 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P6 from 2006 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P6 and P7 from 2011 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 18 July 1990 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2007 Modeled snow-water-equivalent, projected seasonal peak values under T4 climate change scenario, Upper Deschutes River Basin, Oregon [full and clipped versions] WLCI - Important Agricultural Lands Assessment (Input Raster: Resource Index-Terrestrial-Agriculture-Important Agricultural Lands) Spring Season Habitat Suitability Index raster dataset Ecologically-relevant landforms for Plains and Prairie Potholes LCC Vhg: terrestrially-defined vulnerability, biome velocity for Great Northern LCC Vtw: hydrologically-defined vulnerability, temperature change for Great Northern LCC Modeled conterminous United States Crop Cover datasets for 2012