Differential patterns of connectivity in Western Pacific hydrothermal vent metapopulations: A comparison of biophysical and genetic models.

biophysical modelling deep‐seabed mining gene flow hydrothermal vents meta‐population connectivity

Journal

Evolutionary applications
ISSN: 1752-4571
Titre abrégé: Evol Appl
Pays: England
ID NLM: 101461828

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 03 08 2021
revised: 18 10 2021
accepted: 21 11 2021
entrez: 26 1 2023
pubmed: 9 12 2021
medline: 9 12 2021
Statut: epublish

Résumé

Hydrothermal ecosystems face threats from planned deep-seabed mining activities, despite the fact that patterns of realized connectivity among vent-associated populations and communities are still poorly understood. Since populations of vent endemic species depend on larval dispersal to maintain connectivity and resilience to habitat changes, effective conservation strategies for hydrothermal ecosystems should include assessments of metapopulation dynamics. In this study, we combined population genetic methods with biophysical models to assess strength and direction of gene flow within four species of the genus

Identifiants

pubmed: 36699127
doi: 10.1111/eva.13326
pii: EVA13326
pmc: PMC9850011
doi:

Types de publication

Journal Article

Langues

eng

Pagination

22-35

Informations de copyright

© 2021 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Corinna Breusing (C)

Graduate School of Oceanography University of Rhode Island Narragansett Rhode Island USA.

Shannon B Johnson (SB)

Monterey Bay Aquarium Research Institute Moss Landing California USA.

Satoshi Mitarai (S)

Okinawa Institute of Science and Technology Graduate University Kunigami-gun Japan.

Roxanne A Beinart (RA)

Graduate School of Oceanography University of Rhode Island Narragansett Rhode Island USA.

Verena Tunnicliffe (V)

Department of Biology School of Earth and Ocean Sciences University of Victoria Victoria British Columbia Canada.

Classifications MeSH