Continental Patterns of Phenotypic Variation Along Replicated Urban Gradients: A Mega-Analysis

Autor/a

Thompson, M. J.

Senar, Juan Carlos

Charmantier, A.

Fecha de publicación

2025-07-01



Resumen

Individual variation among and within natural populations can have eco-evolutionary implications by, for example, affecting species interactions or evolutionary potential. Urban systems present a unique opportunity to evaluate how environmental change shapes variation since urban phenotypic differentiation is widely documented on contemporary timescales. We introduce and test three hypotheses to determine how urbanisation affects phenotypic variation at different population levels. Combining 21 long-term datasets in a mega-analysis approach, we synthesise how urbanisation impacts variation in tarsus length and lay date among and within subpopulations of great and blue tits (Parus major, Cyanistes caeruleus ) at a continental scale. Our synthesis reveals that urbanisation is associated with increased phenotypic variation within subpopulations by 11% on average, and by as much as 25% across the species and traits examined. We also find some evidence (for tarsus length in great tits) that urbanisation increases differentiation between subpopulations. We did not, however, find that urbanisation increases differences between subpopulations in their within-subpopulation variation. Our synthesis provides novel insights into how urban contexts impact individual diversity at different spatial scales and we highlight future directions that could establish the genetic and environmental effects that underlie these continental patterns of urban phenotypic variation.

Tipo de documento

Artículo

Versión del documento

Versión publicada

Lengua

Inglés

Materias CDU

59 - Zoología

Palabras clave

Ocells; Mallerenga blava; Mallerenga carbonera; Pàrids; Ciutats; Poblacions animals

Páginas

16 p.

Es versión de

Ecology Letters, vol. 28 (2025), e70180

Documentos

Thompson_2025.pdf

1.839Mb

 

Derechos

© 2025 The Author(s)

Attribution 4.0 International

© 2025 The Author(s)

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