Variation in life histories influences demographic processes, from adaptive changes to population declines leading to extinction. Among life history traits, generation length offers a critical feature to forecast species' demographic trajectories such as population declines (widely used by the IUCN Red List) and adaptability to environmental change over time. Therefore, estimates of generation length are crucial to monitor demographic stability or predict future changes in highly threatened organisms, particularly amphibians and reptiles, which are particularly threatened among vertebrates and for which uncertainty in future impacts remains high. Despite its importance, generation length for amphibians and reptiles is largely missing. Here, we aim to fill in this gap by modeling generation lengths for amphibians, squamates and testudines as a function of species size, climate, life history and phylogeny using generalized additive models and phylogenetic generalized least squares. We estimated generation lengths for 5059 (57%) amphibians, 8722 (73%) squamates and 117 (32%) testudines. Our models performed well for most families (e.g. Bufonidae among amphibians, Lacertidae and Colubridae among squamates, and Geoemydidae among testudines) while we found high uncertainty around the prediction of a few families, notably Chamaeleonidae. Species' body size and mean temperature were the main predictors of generation length in all groups. Although our estimates are not meant to substitute robust and validated measurements from field studies or natural history museums, they can help reduce existing biases in conservation assessments until field data is comprehensively available.

Generation length of the world's amphibians and reptiles / G. Mancini, L. Santini, V. Cazalis, G.F. Ficetola, S. Meiri, U. Roll, S. Silvestri, D. Pincheira‐donoso, M. Di Marco. - In: ECOGRAPHY. - ISSN 0906-7590. - 2025:7(2025), pp. e07527.1-e07527.12. [10.1111/ecog.07527]

Generation length of the world's amphibians and reptiles

G.F. Ficetola;
2025

Abstract

Variation in life histories influences demographic processes, from adaptive changes to population declines leading to extinction. Among life history traits, generation length offers a critical feature to forecast species' demographic trajectories such as population declines (widely used by the IUCN Red List) and adaptability to environmental change over time. Therefore, estimates of generation length are crucial to monitor demographic stability or predict future changes in highly threatened organisms, particularly amphibians and reptiles, which are particularly threatened among vertebrates and for which uncertainty in future impacts remains high. Despite its importance, generation length for amphibians and reptiles is largely missing. Here, we aim to fill in this gap by modeling generation lengths for amphibians, squamates and testudines as a function of species size, climate, life history and phylogeny using generalized additive models and phylogenetic generalized least squares. We estimated generation lengths for 5059 (57%) amphibians, 8722 (73%) squamates and 117 (32%) testudines. Our models performed well for most families (e.g. Bufonidae among amphibians, Lacertidae and Colubridae among squamates, and Geoemydidae among testudines) while we found high uncertainty around the prediction of a few families, notably Chamaeleonidae. Species' body size and mean temperature were the main predictors of generation length in all groups. Although our estimates are not meant to substitute robust and validated measurements from field studies or natural history museums, they can help reduce existing biases in conservation assessments until field data is comprehensively available.
extinction risk; generation time; herptiles; IUCN Red List; longevity
Settore BIOS-03/A - Zoologia
   NaturaConnect - Designing a resilient and coherent Trans-European Network for Nature and People
   NaturaConnect
   European Commission
   Horizon Europe Framework Programme
   101060429
2025
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1200098
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