Skip to main content

Kristen A. Baum

thumbnail
The decline in the monarch butterfly has led to it being considered for listing under the Endangered Species Act. Declines in managed and native bees have also been documented, leading to increased concerns about bee populations and communities, as well as the availability of pollination services for crops and native plants. Similar factors have been identified in the decline of monarchs, native bees, and other pollinators, including habitat fragmentation, loss, and degradation (including milkweed loss for monarchs), and disease/predation, as well as climate change, weather extremes, invasive species, and pesticides (e.g., Potts et al. 2010). The southern Great Plains has been identified as critical for conservation...
thumbnail
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...
thumbnail
Habitat fragmentation, modification, and loss have been implicated in the decline of many species, including more than 85% of those considered threatened or endangered. Therefore, connectivity, or the ability of organisms to move among habitat patches, is a critical component of landscape health. In addition to influencing the sustainability of wildlife populations and communities, connectivity also contributes to the availability of ecosystem services. The goal of this project was to evaluate terrestrial connectivity across the South Central United States, with a focus on the impact of projected climate and land use changes. The researchers addressed this goal using a variety of approaches, including evaluating...
thumbnail
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...
thumbnail
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...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.