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The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon"...
Search relevance: 1.00 | Views last month: 25 | Catalog Last Checked: May 05, 2026 at 08:18 PM -
The USGS’s FORE-SCE model was used to produce unprecedented landscape projections for the Upper Missouri River Basin of the northern Great Plains of the United States. The projections are...
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The USGS’s FORE-SCE model was used to produce unprecedented landscape projections for the Prairie Potholes region of the northern Great Plains of the United States. The projections are...
Search relevance: 1.00 | Views last month: 10 | Catalog Last Checked: May 05, 2026 at 09:22 PM -
The USGS’s FORE-SCE model was used to produce a long-term landscape dataset for the Delaware River Basin (DRB). Using historical landscape reconstruction and scenario-based future projections, the...
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A new version of USGS’s FORE-SCE model was used to produce unprecedented landscape projections for four ecoregions in the Great Plains (corresponding to the area represented by the Great Plains...
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Species distribution models often use climate data to assess contemporary and/or future ranges for animal or plant species. Land use and land cover (LULC) data are important predictor variables...
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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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The USGS Forecasting Scenarios of Land-use Change (FORE-SCE) model was used to produce an agricultural biofuel scenarios for the Northern Glaciated Plains, from 2012 to 2030. The modeling used...
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Data supporting results presented in "Modeling future land cover change scenarios in Minneapolis, MN, to support drinking water source protection decisions.". This dataset is associated with the...
Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: April 21, 2026 at 08:05 PM