The abundance of low‐density species like carnivores is logistically difficult to directly
estimate at a meaningful scale. Predictive distribution models are often used as a surrogate …

Historically, bobcats (Lynx rufus) were found throughout the Corn Belt region, but they nearly
disappeared from this area due to habitat loss and unregulated harvest that occurred during …

Context Maximum clique analysis (MCA) can approximate landscape carrying capacity (N k)
for populations of territorial wildlife. However, MCA has not been widely adopted for wildlife …

Understanding habitat selection of top predators is critical to predict their impacts on
ecological communities and interactions with humans, particularly in recovering populations …

Context Many terrestrial mammals have undergone substantial distribution changes in
recent decades; yet collecting broad-scale occurrence data for carnivores is difficult due to …

Estimating spatial and temporal resource use and partitioning among carnivore species
varies based on life history and is critical to understanding ecological relationships of …

Camera‐trapping data analyzed with spatially explicit capture–recapture (SCR) models can
provide a rigorous method for estimating density of small populations of elusive carnivore …

Although genetic and analytical methods for estimating wildlife abundance have improved
rapidly over the last decade, effective methods for collecting hair samples from terrestrial …

Mammalian mesopredators—mid‐sized carnivores—are ecologically, economically, and
socially important. With their adaptability to a variety of habitats and diets, loss of apex …

Wild Turkey (Meleagris gallopavo Linnaeus, 1758) populations have grown considerably in
the Midwestern US alongside mesocarnivores, such as coyotes (Canis latrans Say, 1823) …