How does dispersal shape the genetic patterns of animal populations in European cities? A simulation approach DOI Creative Commons
Paul Savary, Cécile Tannier, Jean‐Christophe Foltête

et al.

Peer Community Journal, Journal Year: 2024, Volume and Issue: 4

Published: March 28, 2024

Context and objectives: Although urbanization is a major driver of biodiversity erosion, it does not affect all species equally. The neutral genetic structure populations in given affected by both drift gene flow processes. In cities, the size animal determines can depend on multiple processes, whereas essentially depends ability to disperse across urban areas. Considering this, we tested whether variations dispersal constraints alone could explain variability patterns commonly observed Besides, assessed how spatial distribution green spaces (UGS) peri-urban forests acts these patterns. Methods: We simulated multi-generational processes virtual occupying either UGS or forest areas (both considered as habitat) within around 325 European cities. used three cost scenarios determining cross least favorable land cover types, while maintaining population sizes constant among scenarios. then diversity differentiation for each city habitat types Results: Overall, was more constrained, decreased increased. Across scenarios, scale strength relationship between cost-distances varied substantially, alike previously empirical Forest contributed connectivity than UGS, due their larger area mostly location. Hence, population-level higher populations. However, interface patches allowing individuals move different seemed locally buffer contrasts promoting flow. Discussion conclusion: Our results showed that dispersal, thus flow, empirically contexts. largest sources are likely be found surrounding centers. This should encourage planners pay attention movements habitats (e.g., UGS) forests), rather habitats, when managing biodiversity.

Language: Английский

Gene flow in the city. Unravelling the mechanisms behind the variability in urbanization effects on genetic patterns. DOI Open Access
Aurélie Coulon

Peer Community In Ecology, Journal Year: 2024, Volume and Issue: unknown

Published: March 19, 2024

A recommendation of: Paul Savary, Cécile Tannier, Jean-Christophe Foltête, Marc Bourgeois, Gilles Vuidel, Aurélie Khimoun, Hervé Moal, Stéphane Garnier How does dispersal shape the genetic patterns of animal populations in European cities? simulation approach https://doi.org/10.32942/X2JS41

Language: Английский

Citations

1
How does dispersal shape the genetic patterns of animal populations in European cities? A simulation approach DOI Creative Commons
Paul Savary, Cécile Tannier, Jean‐Christophe Foltête

et al.

Peer Community Journal, Journal Year: 2024, Volume and Issue: 4

Published: March 28, 2024

Context and objectives: Although urbanization is a major driver of biodiversity erosion, it does not affect all species equally. The neutral genetic structure populations in given affected by both drift gene flow processes. In cities, the size animal determines can depend on multiple processes, whereas essentially depends ability to disperse across urban areas. Considering this, we tested whether variations dispersal constraints alone could explain variability patterns commonly observed Besides, assessed how spatial distribution green spaces (UGS) peri-urban forests acts these patterns. Methods: We simulated multi-generational processes virtual occupying either UGS or forest areas (both considered as habitat) within around 325 European cities. used three cost scenarios determining cross least favorable land cover types, while maintaining population sizes constant among scenarios. then diversity differentiation for each city habitat types Results: Overall, was more constrained, decreased increased. Across scenarios, scale strength relationship between cost-distances varied substantially, alike previously empirical Forest contributed connectivity than UGS, due their larger area mostly location. Hence, population-level higher populations. However, interface patches allowing individuals move different seemed locally buffer contrasts promoting flow. Discussion conclusion: Our results showed that dispersal, thus flow, empirically contexts. largest sources are likely be found surrounding centers. This should encourage planners pay attention movements habitats (e.g., UGS) forests), rather habitats, when managing biodiversity.

Language: Английский

Citations

0