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Full-Text Articles in Life Sciences
The Development Of A Spatially Explicit Model To Estimate, Karen F. Gaines, C. Shane Boring, Dwayne E. Porter
The Development Of A Spatially Explicit Model To Estimate, Karen F. Gaines, C. Shane Boring, Dwayne E. Porter
Faculty Research & Creative Activity
A spatially explicit model of raccoon (Procyon lotor) distribution for the U.S. Department of Energy’s (DOE) Savannah River Site (SRS) in west-central South Carolina was developed using data from a raccoon radio-telemetry study and visualized within a Geographic Information System (GIS). An inductive approach was employed to develop three sub-models using the ecological requirements of raccoons studied in the following habitats: (1) man-made reservoirs, (2) bottomland hardwood/ riverine systems, and (3) isolated wetland systems. Logistic regression was used to derive probabilistic resource selection functions using habitat compositional data and landscape metrics. The final distribution model provides a spatially explicit probability …
A Spatially Explicit Model Of The Wild Hog For Ecological Risk Assessment Activities At The Department Of Energy's Savannah River Site, Karen F. Gaines, Dwayne E. Porter, Tracy Punshon, I. Lehr Brisbin Jr.
A Spatially Explicit Model Of The Wild Hog For Ecological Risk Assessment Activities At The Department Of Energy's Savannah River Site, Karen F. Gaines, Dwayne E. Porter, Tracy Punshon, I. Lehr Brisbin Jr.
Faculty Research & Creative Activity
In North America, wild hogs (Sus scrofa) are both sought after as prime game and despised due to their detrimental impacts to the environment from their digging and rooting behavior. They are also a potentially useful indicator species for environmental health for both ecological- and human-based risk assessments. An inductive approach was used to develop probabilistic resource selection models using logistic regression to quantify the likelihood of hogs being in any area of the Department of Energy’s 805 km2 Savannah River Site (SRS) in west-central South Carolina. These models were derived by using available SRS hog hunt data from 1993–2000 …