A set of nonlinear regression models for animal movement in response to a single landscape feature

Abstract

The study of individual animal movement in relation to objects in a landscape is important in many areas of ecology and conservation biology. Yet, many of the models used by ecologists do not account for landscape features and thus may not be conducive to analysis of animal movement data. This article develops a set of nonlinear regression models for both move angles and move distances in relation to a single object in the landscape. Our models incorporate the concept of perceptual range from theories of animal movement behavior. We describe numerical methods for obtaining the maximum likelihood estimates of the model parameters. For illustration, we show results from both computer simulated data and real movement data collected for a red diamond rattlesnake (Crotalus ruber) via radio telemetry field techniques.