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Found 332 dataset(s) matching "spatially explicit".
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The dataset is supportive of the manuscript "Hydrologic model predictability improves with spatially explicit calibration using remotely sensed evapotranspiration and biophysical parameters"....
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Successful adaptive management hinges largely upon integrating new and improved sources of information as they become available. Updating management tools for greater sage-grouse (Centrocercus...
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These data were compiled to provide a quantitative, spatially explicit estimate of ecological resilience and resistance (R&R) under ambient and projected future climate conditions. Objective...
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We applied spatially-explicit models to a spatiotemporally robust dataset of greater sage-grouse (Centrocercus urophasianus) nest locations and fates across wildfire-altered sagebrush ecosystems...
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Coastal environments are expected to respond to rising sea levels through migration inland. This process is limited by the availability of corridors of sufficiently flat, undeveloped land to be...
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These data are the results of a spatially interpolated integrated population model (SIIPM) fit to count and demographic data collected from populations of Greater Sage-grouse (Centrocercus...
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As part of a 2018 Northwest Climate Adaptation and Science Center project, USGS researchers are releasing a series of spatially-explicit land-cover projections for the period 2018-2050 covering...
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As part of a 2018 Northwest Climate Adaptation and Science Center project, USGS researchers are releasing a series of spatially-explicit land-cover projections for the period 2018-2050 covering...
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As part of a 2018 Northwest Climate Adaptation and Science Center project, USGS researchers are releasing a series of spatially-explicit land-cover projections for the period 2018-2050 covering...
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These data include publicly available datasets as well as three-dimensional model simulation data. This dataset is not publicly accessible because: These data are primarily non-EPA generated, and...
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The supplementary information provides details on the methods used to find the basal area-BNF rate regression, the specific literature that was used to derive both these regressions and the %Ndfa...
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The data release documents the development of a hybrid (statistical-mechanistic) SPARROW (SPAtially Referenced Regression On Watershed attributes) model of long-term mean annual streamflow...
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The data release documents the application of hierarchical Bayesian methods to a previously developed hybrid (statistical-mechanistic) SPARROW (SPAtially Referenced Regression On Watershed...
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This data file contains a list of journal articles found in a recent search for research relevant to studying landscape perceptions. We collected all peer reviewed academic articles containing the...
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This data release provides inputs needed to run the LANDIS PRO forest landscape model and the LINKAGES 3.0 ecosystem process model for the area burned by the Black Dragon Fire in northeast China...
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We used a hierarchical Bayesian modeling framework to estimate resource selection functions and survival for early and late brood-rearing stages of sage-grouse in relation to a broad suite of...
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The landscape of the conterminous United States has changed dramatically over the last 200 years, with agricultural land use, urban expansion, forestry, and other anthropogenic activities altering...
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This is a spatially-explicit state-and-transition simulation model of buffelgrass dynamics in Saguaro National Park. Buffelgrass is an invasive grass spreading in the park. The model represents...
