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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > South Central CASC > FY 2012 Projects ( Show direct descendants )

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This data set includes a dropped-edge analysis of grassland and forest networks in the South Central United States based on land cover data from 2006 and graph theory to evaluate Landscape Resistance to Dispersal (LRD). LRD represents the degree to which habitat availability limits species movement. LRD decreases as habitat availability increases and increases as habitat availability decreases. This data set includes a range of LRD thresholds to represent species with different dispersal abilities and responses to landscape structure. A threshold indicates the highest LRD that still allows dispersal by a particular group of species. LRD thresholds are included in the data set, with low values representing connectivity...
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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...
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This data set includes a dropped-edge analysis of grassland and forest networks in the South Central United States based on land cover data from 2006 and graph theory to evaluate Landscape Resistance to Dispersal (LRD). LRD represents the degree to which habitat availability limits species movement. LRD decreases as habitat availability increases and increases as habitat availability decreases. This data set includes a range of LRD thresholds to represent species with different dispersal abilities and responses to landscape structure. A threshold indicates the highest LRD that still allows dispersal by a particular group of species. LRD thresholds are included in the data set, with low values representing connectivity...
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This data set contains vector point information. The original data set was collected through visual field observation by Jennke Visser (University of Louisiana-Lafayette). The observations were made while flying over the study area in a helicopter. Flight was along north/south transects spaced 2000 meters apart from the Texas / Louisiana State line to Corpus Christie Bay. Vegetative data was obtained at pre-determined stations spaced at 1500 meters along each transect. The stations were located using a Global Positioning System (GPS) and a computer running ArcGIS. This information was recorded manually onto field tally sheets and later this information was entered into a Microsoft Excel database using Capturx software...
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Coastal zone managers and researchers often require detailed information regarding emergent marsh vegetation types (that is, fresh, intermediate, brackish, and saline) for modeling habitat capacities and needs of marsh dependent taxa (such as waterfowl and alligator). Detailed information on the extent and distribution of emergent marsh vegetation types throughout the northern Gulf of Mexico coast has been historically unavailable. In response, the U.S. Geological Survey, in collaboration with the Gulf Coast Joint Venture, the University of Louisiana at Lafayette, Ducks Unlimited, Inc., and the Texas A&M University-Kingsville, produced a classification of emergent marsh vegetation types from Corpus Christi Bay,...
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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...
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This data set contains vector point information. The original data set was collected through Texas A&M University-Kingsville a helicopter survey was flown October 2-3rd of 2011 by Dr. Jenneke Visser (University of Louisiana at Lafayette) and Michael Mitchell. Data from this survey was used to produce this point file. Each feature includes the vegetation type at the point as well as the class used when classifying. Each feature is labeled either reference or accuracy assessment based on what it was used for during analysis. Flight was along north/south transects spaced 2000 meters apart from the Corpus Christi Bay to the Sabine River. Vegetative data was obtained at pre-determined stations spaced at 1500 meters along...
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Coastal zone managers and researchers often require detailed information regarding emergent marsh vegetation types (that is, fresh, intermediate, brackish, and saline) for modeling habitat capacities and needs of marsh dependent taxa (such as waterfowl and alligator). Detailed information on the extent and distribution of emergent marsh vegetation types throughout the northern Gulf of Mexico coast has been historically unavailable. In response, the U.S. Geological Survey, in collaboration with the Gulf Coast Joint Venture, the University of Louisiana at Lafayette, Ducks Unlimited, Inc., and the Texas A&M University-Kingsville, produced a classification of emergent marsh vegetation types from Corpus Christi Bay,...


    map background search result map search result map Marsh types from Corpus Christi Bay, Texas, to the Sabine River, Texas, in 2010 coastal Texas marsh survey points - 2011 Marsh types from Corpus Christi Bay, Texas, to Perdido Bay, Alabama, in 2010 coastal Texas marsh survey points - 2012 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 Future changes in landscape connectivity for grassland species in the southern Great Plains based on a scenario of future land-use change that focuses on environmental sustainability with a regional view Dropped-edge analysis of terrestrial connectivity of grassland and forest networks in the South Central United States based on the National Land Cover Database from 2006 Dropped-edge analysis of terrestrial connectivity of grassland networks in the South Central United States based on the National Land Cover Database from 2006 coastal Texas marsh survey points - 2011 coastal Texas marsh survey points - 2012 Marsh types from Corpus Christi Bay, Texas, to the Sabine River, Texas, in 2010 Marsh types from Corpus Christi Bay, Texas, to Perdido Bay, Alabama, in 2010 Future changes in landscape connectivity for grassland species in the southern Great Plains based on a scenario of future land-use change that focuses on environmental sustainability with a regional view 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 Dropped-edge analysis of terrestrial connectivity of grassland and forest networks in the South Central United States based on the National Land Cover Database from 2006 Dropped-edge analysis of terrestrial connectivity of grassland networks in the South Central United States based on the National Land Cover Database from 2006