William Fagan seminar: Animal Movement: Memory, Learning, and Autocorrelation.

OML 400 See map
Dr. Fagan is a Professor in the Department of Biology at the University of Maryland. His research involves meshing field research with theoretical models to address critical questions in ecology and conservation biology. 
 
 
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.