Heterogeneous landscapes made up of variegated patches are common among managed ecosystems, and often provide diverse structural and compositional habitat characteristics. Landscape heterogeneity can affect distribution of resources, competition, and dispersal of organisms over space and time. Therefore, understanding how species respond to dynamic landscapes is necessary when implementing management decisions that foster biodiversity within managed ecosystems. My study uses hierarchical models in a Bayesian framework to quantify effects of landscape context on meso-mammal predators and northern bobwhite (Colinus virginianus) occupancy in an intensively managed loblolly pine forest. Results indicate that edge density can positively influence occupancy of meso-mammal predators, while age of stand, or years since disturbance, can negatively influence occupancy of northern bobwhite. These results further illustrate the importance of considering biodiversity implications when making management decisions.