Future changes in landscape connectivity for grassland species in the southern Great Plains based on a scenario of future land-use change that emphasizes economic growth with a global orientation
We used land cover projections for 2011 and 2050 of two scenarios derived from the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES). Scenario A1B emphasizes economic growth with a global orientation and scenario B2 focuses on environmental sustainability with a regional view. Our study area included counties within the southern Great Plains ecoregion in Oklahoma, Texas, and New Mexico. We calculated changes in landscape connectivity (dECA) between 2011 and 2050 for different species groups and landscape scenarios. We also calculated changes in habitat suitability (dA). We assessed the degree to which changes in landscape connectivity were influenced by changes in grassland cover (i.e., the effect of fragmentation per se) by comparing dECA and dA. We also estimated the resistance of the landscape matrix to species movement based on the degree of naturalness of the land-cover type, with more natural land-cover types being less resistant to movement. We calculated the differences between the median value of landscape resistance between 2050 and 2011 for each county to evaluate changes in matrix permeability (i.e., resistance to species movement) for scenario A1B and B2. This data set includes the difference between changes in connectivity (dECA) and changes in grassland cover (dA) for species with a median dispersal distance (MDD) of 1, 5, 10 and 25 km for scenario A1B and scenario B2. For both scenarios results are for counties with net grassland area loss (dA < 0) and counties with net grassland area gain (dA > 0). For scenario A1B, 99% of the counties exhibited net grassland area loss, and for scenario B2, 81% of the counties exhibited net grassland area loss.
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Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Kristen A. Baum", "@type": "vcard:Contact", "hasEmail": "mailto:kristen.baum@okstate.edu" } |
| description | We used land cover projections for 2011 and 2050 of two scenarios derived from the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES). Scenario A1B emphasizes economic growth with a global orientation and scenario B2 focuses on environmental sustainability with a regional view. Our study area included counties within the southern Great Plains ecoregion in Oklahoma, Texas, and New Mexico. We calculated changes in landscape connectivity (dECA) between 2011 and 2050 for different species groups and landscape scenarios. We also calculated changes in habitat suitability (dA). We assessed the degree to which changes in landscape connectivity were influenced by changes in grassland cover (i.e., the effect of fragmentation per se) by comparing dECA and dA. We also estimated the resistance of the landscape matrix to species movement based on the degree of naturalness of the land-cover type, with more natural land-cover types being less resistant to movement. We calculated the differences between the median value of landscape resistance between 2050 and 2011 for each county to evaluate changes in matrix permeability (i.e., resistance to species movement) for scenario A1B and B2. This data set includes the difference between changes in connectivity (dECA) and changes in grassland cover (dA) for species with a median dispersal distance (MDD) of 1, 5, 10 and 25 km for scenario A1B and scenario B2. For both scenarios results are for counties with net grassland area loss (dA < 0) and counties with net grassland area gain (dA > 0). For scenario A1B, 99% of the counties exhibited net grassland area loss, and for scenario B2, 81% of the counties exhibited net grassland area loss. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P134QLFC", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5a1dad01e4b09fc93dd7bfb4.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_5a1dad01e4b09fc93dd7bfb4 |
| keyword |
[ "USGS:5a1dad01e4b09fc93dd7bfb4", "dispersal (organisms)", "external research support", "geospatial datasets", "habitat fragmentation", "modeling" ] |
| modified | 2026-09-17T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -106.841476109, 25.423224141, -93.46097938, 37.317147073 |
| theme |
[ "geospatial" ] |
| title | Future changes in landscape connectivity for grassland species in the southern Great Plains based on a scenario of future land-use change that emphasizes economic growth with a global orientation |
