Life history mediates the trade‐offs among different components of demographic resilience

Capdevila, Pol, Stott, Iain, Cant, James , Beger, Maria, Rowlands, Gwilym, Grace, Molly, Salguero‐Gómez, Roberto and Bates, Amanda (2022) Life history mediates the trade‐offs among different components of demographic resilience. Ecology Letters, 25 (6). pp. 1566-1579. ISSN 1461-023X

Full content URL: https://doi.org/10.1111/ele.14004

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Life history mediates the trade‐offs among different components of demographic resilience
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Abstract

Accelerating rates of biodiversity loss underscore the need to understand how species achieve resilience—the ability to resist and recover from a/biotic disturbances. Yet, the factors determining the resilience of species remain poorly understood, due to disagreements on its definition and the lack of large-scale analyses. Here, we investigate how the life history of 910 natural populations of animals and plants predicts their intrinsic ability to be resilient. We show that demographic resilience can be achieved through different combinations of compensation, resistance and recovery after a disturbance. We demonstrate that these resilience components are highly correlated with life history traits related to the species’ pace of life and reproductive strategy. Species with longer generation times require longer recovery times post-disturbance, whilst those with greater reproductive capacity have greater resistance and compensation. Our findings highlight the key role of life history traits to understand species resilience, improving our ability to predict how natural populations cope with disturbance regimes.

Keywords:comparative biology, conservation, disturbance, fast-slow continuum, pace of life, population collapse, recovery, resistance, stability, traits
Subjects:C Biological Sciences > C180 Ecology
C Biological Sciences > C170 Population Biology
C Biological Sciences > C182 Evolution
C Biological Sciences > C300 Zoology
C Biological Sciences > C181 Biodiversity
C Biological Sciences > C100 Biology
Divisions:College of Science > School of Life Sciences
ID Code:50530
Deposited On:31 Aug 2022 09:17

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