Fine-scale barriers to connectivity across a fragmented South-East Asian landscape in six songbird species.
RADseq
barriers
birds
connectivity
conservation genetics
fragmentation
tropics
Journal
Evolutionary applications
ISSN: 1752-4571
Titre abrégé: Evol Appl
Pays: England
ID NLM: 101461828
Informations de publication
Date de publication:
May 2020
May 2020
Historique:
received:
24
07
2019
revised:
10
10
2019
accepted:
08
12
2019
entrez:
21
5
2020
pubmed:
21
5
2020
medline:
21
5
2020
Statut:
epublish
Résumé
Habitat fragmentation is a major extinction driver. Despite dramatically increasing fragmentation across the globe, its specific impacts on population connectivity across species with differing life histories remain difficult to characterize, let alone quantify. Here, we investigate patterns of population connectivity in six songbird species from Singapore, a highly fragmented tropical rainforest island. Using massive panels of genome-wide single nucleotide polymorphisms across dozens of samples per species, we examined population genetic diversity, inbreeding, gene flow and connectivity among species along a spectrum of ecological specificities. We found a higher resilience to habitat fragmentation in edge-tolerant and forest-canopy species as compared to forest-dependent understorey insectivores. The latter exhibited levels of genetic diversity up to three times lower in Singapore than in populations from contiguous forest elsewhere. Using dense genomic and geographic sampling, we identified individual barriers such as reservoirs that effectively minimize gene flow in sensitive understorey birds, revealing that terrestrial forest species may exhibit levels of sensitivity to fragmentation far greater than previously expected. This study provides a blueprint for conservation genomics at small scales with a view to identifying preferred locations for habitat corridors, flagging candidate populations for restocking with translocated individuals and improving the design of future reserves.
Identifiants
pubmed: 32431750
doi: 10.1111/eva.12918
pii: EVA12918
pmc: PMC7232758
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1026-1036Informations de copyright
© 2020 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.
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