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Lookup NU author(s): Dr Fabrice StephensonORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
Copyright © 2023 the Author(s). Observed range shifts of numerous species support predictions of climate change models that species will shift their distribution northward into the Arctic and sub-Arctic seas due to ocean warming. However, how this is affecting overall species richness is unclear. Here we analyze 20,670 scientific research trawls from the North Sea to the Arctic Ocean collected from 1994 to 2020, including 193 fish species. We found that demersal fish species richness at the local scale has doubled in some Arctic regions, including the Barents Sea, and increased at a lower rate at adjacent regions in the last three decades, followed by an increase in species richness and turnover at a regional scale. These changes in biodiversity correlated with an increase in sea bottom temperature. Within the study area, Arctic species’ probability of occurrence generally declined over time. However, the increase in species from southern latitudes, together with an increase in some Arctic species, ultimately led to an enrichment of the Arctic and sub-Arctic marine fauna due to increasing water temperature consistent with climate change.
Author(s): Gordo-Vilaseca C, Stephenson F, Coll M, Lavin C, Costello MJ
Publication type: Article
Publication status: Published
Journal: Proceedings of the National Academy of Sciences of the United States of America
Year: 2023
Volume: 120
Issue: 4
Online publication date: 19/01/2023
Acceptance date: 17/12/2022
Date deposited: 22/11/2023
ISSN (print): 0027-8424
ISSN (electronic): 1091-6490
Publisher: National Academy of Sciences
URL: https://doi.org/10.1073/pnas.2120869120
DOI: 10.1073/pnas.2120869120
Data Access Statement: Previously published data were used for this work (Ove Djupevåg (2021) IMR bottom trawl data 1980 to 2020 https://doi.org/10.21335/NMDC-328259372). All the code and subset of data is available through GitHub (https://github.com/CescGV)
PubMed id: 36656855
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