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

Alabama Project


Designing surveys for estimating biological truth

September 2022 - September 2026


Personnel

Participating Agencies

  • Alabama Department of Conservation & Natural Resources

Surveys of unmarked animals can be used to answer many ecological research questions. Hierarchical abundance and occurrence models are frequently used to analyze such data when species are detected imperfectly, but assumptions are frequently violated when surveying mobile animals. We are working to develop sampling protocols that lead to unbiased estimates of occupancy and abundance to improve estimation of the true patterns and processes underlying the observed data. This work is being conducted in collaboration with researchers from numerous organizations including the Integral Ecology Research Center, College of William and Mary, Bird Conservancy of the Rockies, University of St. Andrews, Michigan State University, California State Polytechnic University, Bureau of Land Management, U.S. Forest Service, National Audubon Society, U.S. Fish and Wildlife Service, University of Georgia, and University of California, Los Angeles. We expect our findings to be used by researchers and managers around the globe to improve occupancy estimation.

Research Publications Publication Date
Valente, J.J., V. Jirinec, and M. Leu. 2024. Thinking beyond the closure assumption: designing surveys for estimating biological truth with occupancy models. Methods in Ecology and Evolution 15:2289-2300. December 2024
Valente JJ, Adrean LJ, Nelson SK, Betts MG, Roby DD, and Rivers JW. 2024. Presence-absence surveys yield spatially imprecise information about nesting sites of an endangered, forest-nesting seabird. PLoS ONE 19:e0315531. December 2024
Latif, QS, JJ Valente, A. Johnston, KL Davis, FA Fogarty, AW Green, GM Jones, M Leu, NL Michel, DC Pavlacky, EA Rigby, CS Rushing, JS Sanderlin, MW Tingley, and Q Zhao. 2024. Designing count-based studies in a world of hierarchical models. Journal of Wildlife Management, 88:e22622. https://doi.org/10.1002/jwmg.22622. June 2024
Presentations Presentation Date
Valente, J.J., V. Jirinec, and M. Leu (2024). Thinking beyond the closure assumption: designing surveys for estimating biological truth with occupancy models. 109th annual meeting of the Ecological Society of America, Long Beach, CA, 4-9 August 2024. August 2024