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Full-Text Articles in Life Sciences
Estimating Bobcat Abundance In East Texas Using Infrared-Triggered Cameras, Matthew E. Symmank, Christopher E. Comer, James C. Kroll
Estimating Bobcat Abundance In East Texas Using Infrared-Triggered Cameras, Matthew E. Symmank, Christopher E. Comer, James C. Kroll
Faculty Publications
Reliable population estimation techniques for cryptic forest predators generally are lacking. Development of an efficient and reliable technique to estimate predator abundance directly would be a valuable tool for wildlife managers concerned with predator management. We evaluated the potential for camera survey techniques to provide abundance estimates for bobcats (Lynx rufus) in southeastern forest habitats. We also determined our ability to capture other forest carnivores photographically using these techniques. We used TrailMaster 1500 active infrared-triggered cameras to estimate abundance on a 1318-ha private land holding in eastern Texas. Camera stations were located along roads and wildlife travel corridors …
A Novel Approach For Assessing Density And Range-Wide Abundance Of Prairie Dogs, Aaron N. Facka, Paulette L. Ford, Gary W. Roemer
A Novel Approach For Assessing Density And Range-Wide Abundance Of Prairie Dogs, Aaron N. Facka, Paulette L. Ford, Gary W. Roemer
USDA Forest Service / UNL Faculty Publications
Habitat loss, introduced disease, and government-sponsored eradication programs have caused population declines in all 5 species of prairie dogs. Black-tailed prairie dogs (Cynomys ludovicianus) currently occupy only about 2% of an extensive geographic range (160 million hectares) and were recently considered for listing under the United States Endangered Species Act. Accurate estimates of density for populations of prairie dogs would be valuable for estimating range-wide abundance and for determining threats to species persistence, yet estimates of density using robust approaches (e.g., complete enumeration or mark–recapture) are rarely undertaken. We introduce a novel approach to estimating density of prairie …