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When can the cause of a population decline be determined?
Hefley, Trevor J; Hooten, Mevin B; Drake, John M; Russell, Robin E; Walsh, Daniel P.
Affiliation
  • Hefley TJ; Department of Statistics and Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO, 80523, USA. trevor.hefley@colostate.edu.
  • Hooten MB; Department of Statistics and Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO, 80523, USA.
  • Drake JM; U.S. Geological Survey, Colorado Cooperative Fish and Wildlife Unit, Fort Collins, CO, 80523, USA.
  • Russell RE; Odum School of Ecology, University of Georgia, Athens, GA, 30602.
  • Walsh DP; U.S. Geological Survey, National Wildlife Health Center, Madison, WI, 80523, USA.
Ecol Lett ; 19(11): 1353-1362, 2016 11.
Article in En | MEDLINE | ID: mdl-27678091
Inferring the factors responsible for declines in abundance is a prerequisite to preventing the extinction of wild populations. Many of the policies and programmes intended to prevent extinctions operate on the assumption that the factors driving the decline of a population can be determined. Exogenous factors that cause declines in abundance can be statistically confounded with endogenous factors such as density dependence. To demonstrate the potential for confounding, we used an experiment where replicated populations were driven to extinction by gradually manipulating habitat quality. In many of the replicated populations, habitat quality and density dependence were confounded, which obscured causal inference. Our results show that confounding is likely to occur when the exogenous factors that are driving the decline change gradually over time. Our study has direct implications for wild populations, because many factors that could drive a population to extinction change gradually through time.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Ecosystem / Daphnia / Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Ecol Lett Year: 2016 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Ecosystem / Daphnia / Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Ecol Lett Year: 2016 Document type: Article Affiliation country: United States Country of publication: United kingdom