Tal Avgar

TL;DR: Using a unique GPS-tracking database of 803 individuals across 57 species, it is found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in area with a low human footprint.

TL;DR: This work draws together research from several disciplines to understand the relationship between animal memory and movement processes, and frames the problem in terms of the characteristics, costs and benefits of memory as outlined in psychology and neuroscience.

TL;DR: iSSA relies on simultaneously estimating movement and resource selection parameters, thus allowing simple likelihood‐based inference of resource selection within a mechanistic movement model and demonstrates the utility of iSSA as a general, flexible and user‐friendly approach for both evaluating a variety of ecological hypotheses, and predicting future ecological patterns.

TL;DR: The R package amt (animal movement tools) as mentioned in this paper allows users to fit step selection functions (SSFs) to data and simulate space use of animals from fitted models, which can also be used to estimate utilization distributions and mechanistic home ranges.

TL;DR: The R package amt (animal movement tools) is presented, that allows users to fit SSFs to data and to simulate space use of animals from fitted models and provides tools for managing telemetry data.