Coupling Genetic and Demographic Data to Reveal Dispersal Processes in Emperor Penguins

Dispersal is a ubiquitous phenomenon that affects the dynamics of the population and the evolution of natural populations; however, it is challenging to measure in most species. Furthermore, the influence of informed dispersal behaviors, referring to the nonrandom selection of breeding habitats by individuals, on species' responses to rapid global change is substantial but difficult to comprehend. Here, we present a modeling framework to assess the dispersal characteristics and behaviors of a metapopulation when observations provide information on its neutral genetic structure for a restricted sampling of locations. Our mechanistic-statistical model couples a deterministic model capturing the spatio-temporal dynamics of four genetic clusters across all breeding colonies by integrating demographic processes with genetic projections, with a probabilistic observation model describing the probability to sample an individual from a given genetic cluster. We apply this new framework to the emperor penguin, a species living in Antarctica and currently experiencing habitat loss. The model estimates the species' dispersal distance, rates of emigration, and behaviors associated with dispersal (informed or random). By incorporating these estimations with satellite censuses of breeding colonies, we can identify environmental and demographic factors that influence the dispersal of emperor penguins. Finally, we provide new global population forecasts for emperor penguins that can inform conservation actions in Antarctica.

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Publication Details

Journal
Ecology and Evolution
Published
2025-05-01
DOI
https://doi.org/10.1002/ece3.71367
Citations
2
Primary Topic
Avian ecology and behavior
Type
article
Field-Weighted Citation Impact
3.43

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article

Coupling Genetic and Demographic Data to Reveal Dispersal Processes in Emperor Penguins

Christophe Barbraud, Michelle LaRue, Sara Labrousse, Gemma V. Clucas et al.
2 citations
Ecology and Evolution
Avian ecology and behavior
3.43
article

Coupling Genetic and Demographic Data to Reveal Dispersal Processes in Emperor Penguins

Christophe Barbraud, Michelle LaRue, Sara Labrousse, Gemma V. Clucas, Jane L. Younger, Alexander D. Fraser, Bilgecan Şen, Jimmy Garnier, Stéphanie Jenouvrier
article en
2 citations

Abstract

Dispersal is a ubiquitous phenomenon that affects the dynamics of the population and the evolution of natural populations; however, it is challenging to measure in most species. Furthermore, the influence of informed dispersal behaviors, referring to the nonrandom selection of breeding habitats by individuals, on species' responses to rapid global change is substantial but difficult to comprehend. Here, we present a modeling framework to assess the dispersal characteristics and behaviors of a metapopulation when observations provide information on its neutral genetic structure for a restricted sampling of locations. Our mechanistic-statistical model couples a deterministic model capturing the spatio-temporal dynamics of four genetic clusters across all breeding colonies by integrating demographic processes with genetic projections, with a probabilistic observation model describing the probability to sample an individual from a given genetic cluster. We apply this new framework to the emperor penguin, a species living in Antarctica and currently experiencing habitat loss. The model estimates the species' dispersal distance, rates of emigration, and behaviors associated with dispersal (informed or random). By incorporating these estimations with satellite censuses of breeding colonies, we can identify environmental and demographic factors that influence the dispersal of emperor penguins. Finally, we provide new global population forecasts for emperor penguins that can inform conservation actions in Antarctica.

Ecology and EvolutionVol. 15(5)
Centre National de la Recherche Scientifique (FR), University of Tasmania (AU), University of Minnesota (US), Australian Antarctic Division (AU), University of Maryland Center for Environmental Science (US), University of Canterbury (NZ), Cornell University (US), Centre d'Etudes Biologiques de Chizé (FR), Laboratoire d’Analyse et de Mathématiques Appliquées (FR), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (FR), Institut de Recherche pour le Développement (FR), University of Bath (GB), Woods Hole Oceanographic Institution (US), Université Savoie Mont Blanc (FR), Université Grenoble Alpes (FR)
National Science Foundation, National Aeronautics and Space Administration, Australian Government, Agence Nationale de la Recherche, Nuclear Safety and Security Commission, Institut Polaire Français Paul Emile Victor, Terres Australes et Antarctiques Françaises, Advanced Exploration Systems, Division of Antarctic Sciences
Openalex Percentile: Top 11%
Avian ecology and behavior
3.43
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