4.8 Article

Temporal correlations among demographic parameters are ubiquitous but highly variable across species

Journal

ECOLOGY LETTERS
Volume 25, Issue 7, Pages 1640-1654

Publisher

WILEY
DOI: 10.1111/ele.14026

Keywords

capture-recapture; demographic correlation; demography; environmental stochasticity; slow-fast continuum; stochastic population dynamics; temporal covariation

Categories

Funding

  1. French Polar Institute IPEV [109]
  2. Zone Atelier Antarctique et Terres Australes (LTSER France)
  3. CNRS
  4. OSU-OREME
  5. National Science Foundation, Division of Polar Programs [ANT-1640481]
  6. NSF Grants [1840058]
  7. Office of Polar Programs (OPP)
  8. Directorate For Geosciences [1840058] Funding Source: National Science Foundation

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Temporal correlations among demographic parameters are common, with positive correlations more frequent than negative correlations. These correlations vary significantly among species and are not strongly associated with life history pace. Ignoring temporal correlations may lead to underestimation of extinction risks in most species.
Temporal correlations among demographic parameters can strongly influence population dynamics. Our empirical knowledge, however, is very limited regarding the direction and the magnitude of these correlations and how they vary among demographic parameters and species' life histories. Here, we use long-term demographic data from 15 bird and mammal species with contrasting pace of life to quantify correlation patterns among five key demographic parameters: juvenile and adult survival, reproductive probability, reproductive success and productivity. Correlations among demographic parameters were ubiquitous, more frequently positive than negative, but strongly differed across species. Correlations did not markedly change along the slow-fast continuum of life histories, suggesting that they were more strongly driven by ecological than evolutionary factors. As positive temporal demographic correlations decrease the mean of the long-run population growth rate, the common practice of ignoring temporal correlations in population models could lead to the underestimation of extinction risks in most species.

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