John G. Kie

TL;DR: This work has shown that mechanistic home-range models, derived from models of animal movement behaviour, promise to offer new insights into how home ranges emerge as the result of specific patterns of movements by individuals in response to their environment.

TL;DR: The way animals move has important consequences for the degree of mixing that the authors expect to find both within a population and between individuals of different species, and as most animals revisit some places and avoid others based on their previous experiences, they foresee the incorporation of long-term memory and intention in movement models.

TL;DR: The background of GPS techniques that have been used to gather data for wildlife studies is provided, and alternatives for storing and retrieving data by using dataloggers, radio-frequency download systems, and potential new data recovery technologies are presented.

TL;DR: In this paper, the authors quantified relationships between a suite of landscape metrics measured at different spatial scales and sizes of home ranges for female mule deer (Odocoileus hemionus) to test whether spatial heterogeneity played a major role in determining the distribution of deer.

TL;DR: Clear tradeoffs existed for deer in montane southern California about whether they migrated, and deer were at increased risk of predation during migration and, in years of low precipitation (low snow), had higher rates of mortality than did resident deer.