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Recent exposure to environmental stochasticity does not determine the demographic resilience of natural populations
Authors:James Cant  Pol Capdevila  Maria Beger  Roberto Salguero-Gómez
Affiliation:1. Centre for Biological Diversity, University of St Andrews, St Andrews, UK;2. School of Biological Sciences, University of Bristol, Bristol, UK;3. School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, UK

Centre for Biodiversity and Conservation Science, School of Biological Sciences, University of Queensland, Brisbane, Queensland, Australia;4. Department of Zoology, University of Oxford, Oxford, UK

Abstract:Escalating climatic and anthropogenic pressures expose ecosystems worldwide to increasingly stochastic environments. Yet, our ability to forecast the responses of natural populations to this increased environmental stochasticity is impeded by a limited understanding of how exposure to stochastic environments shapes demographic resilience. Here, we test the association between local environmental stochasticity and the resilience attributes (e.g. resistance, recovery) of 2242 natural populations across 369 animal and plant species. Contrary to the assumption that past exposure to frequent environmental shifts confers a greater ability to cope with current and future global change, we illustrate how recent environmental stochasticity regimes from the past 50 years do not predict the inherent resistance or recovery potential of natural populations. Instead, demographic resilience is strongly predicted by the phylogenetic relatedness among species, with survival and developmental investments shaping their responses to environmental stochasticity. Accordingly, our findings suggest that demographic resilience is a consequence of evolutionary processes and/or deep-time environmental regimes, rather than recent-past experiences.
Keywords:demographic compensation  matrix population models  partial least squares regression  phylogenetic signal  recovery  resistance  transient demography
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