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Life Sciences Commons

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Full-Text Articles in Life Sciences

Influence Of Landscape Characteristics On Retention Of Expandable Radiocollars On Young Ungulates, Troy W. Grovenburg, Robert W. Klaver, Christopher N. Jacques, Todd J. Brinkman, Christopher C. Swanson, Christopher S. Deperno, Kevin L. Monteith, Jaret D. Sievers, Vernon C. Bleich, John G. Kie, Jonathan A. Jenks Mar 2014

Influence Of Landscape Characteristics On Retention Of Expandable Radiocollars On Young Ungulates, Troy W. Grovenburg, Robert W. Klaver, Christopher N. Jacques, Todd J. Brinkman, Christopher C. Swanson, Christopher S. Deperno, Kevin L. Monteith, Jaret D. Sievers, Vernon C. Bleich, John G. Kie, Jonathan A. Jenks

Natural Resource Ecology and Management Publications

One tool used for wildlife management is the deployment of radiocollars to gain knowledge of animal populations. Understanding the influence of individual factors (e.g., species, collar characteristics) and landscape characteristics (e.g., forested cover, shrubs, and fencing) on retention of expandable radiocollars for ungulates is important for obtaining empirical data on factors influencing ecology of young-of-the-year ungulates. During 2001–2009, we captured and radiocollared 198 white-tailed deer (Odocoileus virginianus) fawns, 142 pronghorn (Antilocapra americana) fawns, and 73 mule deer (O. hemionus) fawns in South Dakota, Minnesota, and California, USA. We documented 72 (36.4%), 8 (5.6%), and 7 ...


Quantitative Analysis Of Woodpecker Habitat Using High-Resolution Airborne Lidar Estimates Of Forest Structure And Composition, James E. Garabedian, Robert Mcgaughey, Stephen E. Reutebuch, Bernard R. Parresol, John C. Kilgo, Christopher E. Moorman, M. Nils Peterson Jan 2014

Quantitative Analysis Of Woodpecker Habitat Using High-Resolution Airborne Lidar Estimates Of Forest Structure And Composition, James E. Garabedian, Robert Mcgaughey, Stephen E. Reutebuch, Bernard R. Parresol, John C. Kilgo, Christopher E. Moorman, M. Nils Peterson

USDA Forest Service / UNL Faculty Publications

Light detection and ranging (LiDAR) technology has the potential to radically alter theway researchers and managers collect data onwildlife–habitat relationships. To date, the technology has fostered several novel approaches to characterizing avian habitat, but has been limited by the lack of detailed LiDAR-habitat attributes relevant to species across a continuum of spatial grain sizes and habitat requirements. We demonstrate a novel three-step approach for using LiDAR data to evaluate habitat based on multiple habitat attributes and accounting for their influence at multiple grain sizes using federally endangered red-cockaded woodpecker (RCW; Picoides borealis) foraging habitat data fromthe Savannah River Site ...