Title: Modeling for recovery: A simulation based approach for establishing recovery criteria
Abstract: Establishing measureable recovery criteria is an essential part of any endangered species management planning process. Protecting endangered species is intended to prevent the imminent extinction or at least to reduce extinction probability for that species. However extinction risk and probability are impossible to measure empirically and most recovery planning efforts attempt to identify recovery criteria that act as surrogates for extinction (e.g., abundance, or population growth) without actually quantitatively establishing a link between the surrogate measures and the fundamental objective. In this seminar I present a newly developed meta-population for Piping Plovers in the Great Plains and use that model to generate a recovery criteria table linking measureable attributes of the population to extinction risk via regression analysis of the simulated data.
Dr. Conor McGowan is from Long Island, New York. He graduated from Wake Forest University with a BS in Biology in 2000, from N.C. State University with an MS in Zoology in 2004 and completed his Ph.D. in Fisheries and Wildlife at the University of Missouri in 2008. After completing a post-doc at the Patuxent Wildlife Research Center he joined the U.S. Geological Survey, Alabama Cooperative Fish and Wildlife Research Unit in July 2010. He has expertise in wildlife ecology, population modeling, decision analysis, endangered species management and ornithology.