Cooperative Fish and Wildlife Research Units Program: Colorado
Education, Research and Technical Assistance for Managing Our Natural Resources

Colorado Project

Adaptive Monitoring and Modeling of Sea Otters

September 2015 - September 2020


Participating Agencies

  • NPS Alaska-CESU
  • Rocky Mtn Natl Park-CESU

Problem statement: Data associated with reintroduced and/or invasive wildlife species are often collected, but are not typically optimal for desired inference. So What? Why this research matters: The ability to formally make inferences about, and forecast, spreading wildlife populations is critical for guiding future monitoring efforts and understanding the mechanisms associated with their dynamics. Collaboration/Partners: This project is in collaboration with scientists at the National Park Service and U.S. Geological Survey. Research That Informs Decisions: Formal statistical models that account for the various sources of uncertainty in monitoring populations can be developed and fit to existing data to provide forecasts that can then optimally be used to guide future decisions about monitoring efforts.

Research Publications Publication Date
Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, and M.R. Bower. (2018). Monitoring dynamic spatio-temporal ecological processes optimally. Ecology, 99: 524-535. May 2018
Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, M.R. Bower, and T.J. Hefley. (2017). Estimating occupancy and abundance using aerial images with imperfect detection. Methods in Ecology and Evolution, 8: 1679-1689. July 2017
Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, M.R. Bower, and T.J. Hefley. (2017). An integrated data model to estimate spatio-temporal occupancy, abundance, and colonization dynamics. Ecology, 98: 328-336. March 2017
Williams, P.J., M.B. Hooten, G.G. Esslinger, J.N. Womble, J. Bodkin, and M.R. Bower. (2019). The rise of an apex predator following deglaciation. Diversity and Distributions, 25: 895-908. May 2019