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Full-Text Articles in Life Sciences
Habitat Use Of The Key Largo Woodrat (Neotoma Floridana Smalli), Lauren J. Barth
Habitat Use Of The Key Largo Woodrat (Neotoma Floridana Smalli), Lauren J. Barth
FIU Electronic Theses and Dissertations
Key Largo woodrats are an endangered subspecies with an extremely limited habitat. This study sought to understand woodrat habitat preferences in order to guide management. Woodrats build stick nests from natural and artificial materials, so nest distribution and nest occupancy were used as indicators of preference. Distribution was determined by nest surveys, and remote cameras were used to assess occupancy. Forest structure, human disturbance, nest, and animal presence metrics were also collected. More nests were found along abandoned roads than along forest transects and more artificial nests were occupied than natural nests. These findings indicate that woodrats prefer areas with …
Identifying Priority Conservation Areas For The American Burying Beetle, Nicrophorus Americanus (Coleoptera: Silphidae), A Habitat Generalist, Jessica D. Jurzenski, Christopher F. Jorgensen, Andy Bishop, Roger Grosse, John Riens, W. Wyatt Hoback
Identifying Priority Conservation Areas For The American Burying Beetle, Nicrophorus Americanus (Coleoptera: Silphidae), A Habitat Generalist, Jessica D. Jurzenski, Christopher F. Jorgensen, Andy Bishop, Roger Grosse, John Riens, W. Wyatt Hoback
United States Fish and Wildlife Service: Publications
Conservation efforts leading to the recovery of the federally endangered American burying beetle (ABB), Nicrophorus americanus Olivier, have been challenging because of the unknown causes of its decline, difficulty in establishing habitat requirements, and unclear population distribution across the species’ range. Extant populations of this widespread generalist species occur in broadly separated regions of North America with varying habitat characteristics. A habitat suitability model for ABB in the Nebraska Sandhills was developed over the course of 3 years resulting in a final cross-validated spatial model. The succession of models from 2009 to 2011 indicated that most of the predictive variables …