Background Movement decisions made in space and time define how wildlife meet competing extrinsic and intrinsic demands to maximize fitness. Differential selection of resource patches provides one example of how to measure how animals balance conflicting demands. We hypothesized that individual spatial selection of patch types between dynamic seasons would signify flexible strategies used to minimize risk and optimize foraging efforts. Methods We used data collected from GPS loggers on golden-mantled ground squirrels ( Callospermophilus lateralis ) to model selection or avoidance of resources in two seasons of seed availability and one season in which no seeds were available. Movement decisions were measured in short-term discrete time intervals using high resolution location data. Selection or avoidance of specific resource features that entail fitness consequences were then assessed using resource selection functions. Results Seasonality of food availability, food type, and spatial distribution of food largely influenced how individuals selected resources within their home ranges. Overall, when seeds were available, individuals mediated risks of predation and loss of food by using patches closer to refuge and selected intermediate distances to the burrow. When food was not available, individuals minimized exposure to heightened risk by staying close to the burrow and avoiding riskier patch types. Conclusions Results indicate that individuals used flexible, dynamic strategies to select habitat patches which may allow them to balance conflicting seasonal demands. Advances in GPS technology for research of small mammals provide greater insight into how prey species in high risk environments differentially use resources to minimize risk and maintain fitness.

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Land use change can result in complex environments of varying habitat quality and permeability that directly and indirectly influence the effectiveness of natural areas for wildlife conservation. To assess how isolation and degradation of protected natural areas may affect long-term conservation efforts across the range of a sensitive subspecies, we used multiscale occupancy analysis, species distribution modeling, and circuit theory to identify hotspot areas of occurrence and potential landscape connectivity among areas of high quality habitat within and between protected natural areas. Big Cypress fox squirrels (Sciurus niger avicennia: BCFS) are state-threatened subspecies of fox squirrel endemic to forested wetlands in southwest Florida, which have been highly altered by human activities. Probability of occupancy of BCFS among conservation areas varied widely due to differences in environmental features (Hedge's g = 1.4705, 95% CI: 1.074-1.763). Fine-scale features indicative of habitat degradation, such as increasing midstory vegetation cover and decreasing bromeliad cover, negatively influenced BCFS occurrence. Home-range-level tree canopy cover differentially affected probability of occupancy dependent on proximity to urban areas. Additionally, home-range-level high summer temperature differentially affected probability of occupancy dependent on proximity to cypress domes. Habitat was distributed patchily both within and among conservation areas, separated by large areas of unsuitable vegetation communities and urbanized features that were barriers to movement. Considering the threat of increasing isolation of conservation areas due to continued development as well as current and impending degradation caused by land use and climate change within conservation area boundaries, we suggest a strong need for interagency coordination to improve, maintain, and acquire rights for protection of additional remaining habitat.