To What Extent Can Life History Strategies Inform Reptile Conservation Planning?

ABSTRACT Global policy aims to prevent species extinctions; to support these aims, conservation planners must effectively target interventions to reduce the extinction risk of species. However, there is often a lack of knowledge on the magnitude and direction of species responses to interventions an...

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Bibliographic Details
Main Authors: Emily A. Stevenson, Sol Lucas, Philip J. K. McGowan, Isabel M. Smallegange, Louise Mair
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Ecology and Evolution
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Online Access:https://doi.org/10.1002/ece3.71488
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Summary:ABSTRACT Global policy aims to prevent species extinctions; to support these aims, conservation planners must effectively target interventions to reduce the extinction risk of species. However, there is often a lack of knowledge on the magnitude and direction of species responses to interventions and, in turn, the extent to which a species extinction risk is reduced. If we can use a species' life history strategies to predict their responses to interventions, this offers a promising approach to better understand species extinction risks and conservation potential. Here we apply Dynamic Energy Budget Integral Projection Models to 23 reptile species to investigate whether their derived life history traits can be summarised into a life history strategy framework using principal component analysis, and whether species' positions along these axes predict their population growth rate, demographic resilience, sensitivity to perturbations and extinction risk. We found that species' positions on reproductive and pace of life axes predicted reptile population growth rate and demographic resilience but not sensitivity to perturbations or extinction risk. Our findings show that reptile life history strategies can inform our understanding of reptile species conservation potential and could be applied to influence management decisions such as establishing monitoring timelines.
ISSN:2045-7758