Please join us for a seminar talk by Dr. William Fagan.

Animal Movement: Memory, Learning, and Autocorrelation.

Abstract

‍Real landscapes are dynamic in space and time, and the scales over which such variation occurs can determine the success of different conservation strategies for resident species. Within such landscapes, real species rely on a variety of individual-level behaviors for movement and navigation. Movement behaviors such as long-distance searching and fine-scale foraging are often intermixed but operate on vastly different spatial and temporal scales.  Individual experience, life-history traits, and resource dynamics combine to shape population-level patterns such as range residency, migration, and nomadism. I will discuss how a combination of empirical movement data (on gazelles, cranes, and other taxa) and powerful statistical approaches can be used to inform our understanding of animal movement on large spatial scales, helping to reveal the relationships among individual movements, landscape dynamics, and population level patterns.