Coupling Genetic and Demographic Data to Reveal Dispersal Processes in Emperor Penguins DOI Creative Commons
Jimmy Garnier, Gemma V. Clucas, Jane L. Younger

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(5)

Published: May 1, 2025

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

Language: Английский

Coupling Genetic and Demographic Data to Reveal Dispersal Processes in Emperor Penguins DOI Creative Commons
Jimmy Garnier, Gemma V. Clucas, Jane L. Younger

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(5)

Published: May 1, 2025

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

Language: Английский

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