Integrating Movement Modeling and Landscape Genetics to Predict Population Connectivity
Conservation planning increasingly depends on spatial models of population connectivity to guide management decisions. However, it is challenging to understand how landscapes affect organism movement, and there has been considerable uncertainty in how well connectivity modeling approaches reflect meaningful biological processes.
Combining movement modeling from GPS telemetry with landscape genetic analyses is a powerful approach to obtain reliable information about connectivity. This talk presents several examples of research on modeling connectivity with movement and genetic data for American black bear, African lion, Indian elephant and some other species.
Sam Cushman has worked for the U.S. Forest Service for 15 years on a wide range of topics, including effects of changing climate on disturbance regimes and landscape dynamics, multi-scale species distribution modeling, landscape genetics,and population connectivity modeling.
He earned his doctorate at the University of Massachusetts and a Master of Science at Western Washington University.