Literature DB >> 27678091

When can the cause of a population decline be determined?

Trevor J Hefley1, Mevin B Hooten2,3, John M Drake4, Robin E Russell5, Daniel P Walsh5.   

Abstract

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.
© 2016 John Wiley & Sons Ltd/CNRS.

Entities:  

Keywords:  Allee effect; autocorrelation; causal inference; density dependence; extinction; multicollinearity; population dynamics; temporal confounding; time series

Mesh:

Year:  2016        PMID: 27678091     DOI: 10.1111/ele.12671

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  3 in total

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Authors:  Andrés Valenzuela-Sánchez; Benedikt R Schmidt; David E Uribe-Rivera; Francisco Costas; Andrew A Cunningham; Claudio Soto-Azat
Journal:  Proc Biol Sci       Date:  2017-09-27       Impact factor: 5.349

2.  Community confounding in joint species distribution models.

Authors:  Justin J Van Ee; Jacob S Ivan; Mevin B Hooten
Journal:  Sci Rep       Date:  2022-07-18       Impact factor: 4.996

3.  Cross-lags and the unbiased estimation of life-history and demographic parameters.

Authors:  Martijn van de Pol; Lyanne Brouwer
Journal:  J Anim Ecol       Date:  2021-08-18       Impact factor: 5.606

  3 in total

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