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Published January 3, 2019 | Version v1
Dataset Open

Data from: The diversity of population responses to environmental change

  • 1. University of Southern Denmark
  • 2. University of Fribourg
  • 3. Animal and Plant Health Agency
  • 4. University of Zurich
  • 5. University of Oxford
  • 6. National Museums of Kenya
  • 7. University of Tasmania
  • 8. Institute of Avian Research
  • 9. Iowa State University
  • 10. French National Centre for Scientific Research
  • 11. Info Fauna Karch UniMail Bâtiment G, Bellevaux 51 2000 NeuchâtelSwitzerland*
  • 12. Yale University
  • 13. University of Pennsylvania
  • 14. Amphi Consult Sciencepark NOVI, Niels Jernes Vej 10 DK9220 Aalborg ØDenmark*
  • 15. University of Exeter
  • 16. Pennsylvania State University
  • 17. University of Minnesota
  • 18. University of Toronto
  • 19. Claude Bernard University Lyon 1
  • 20. Royal Zoological Society of Antwerp
  • 21. Centre for Ecology and Hydrology

Description

The current extinction and climate change crises pressure us to predict population dynamics with ever-greater accuracy. Although predictions rest on the well-advanced theory of age-structured populations, two key issues remain poorly-explored. Specifically, how the age-dependency in demographic rates and the year-to-year interactions between survival and fecundity affect stochastic population growth rates. We use inference, simulations, and mathematical derivations to explore how environmental perturbations determine population growth rates for populations with different age-specific demographic rates and when ages are reduced to stages. We find that stage- vs. age-based models can produce markedly divergent stochastic population growth rates. The differences are most pronounced when there are survival-fecundity-trade-offs, which reduce the variance in the population growth rate. Finally, the expected value and variance of the stochastic growth rates of populations with different age-specific demographic rates can diverge to the extent that, while some populations may thrive, others will inevitably go extinct.

Notes

Files

LifeTables.csv

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md5:38a2fa22e9721df027c41c0e099942e7
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Additional details

Related works

Is cited by
10.1111/ele.13195 (DOI)