Arctic marine forest distribution models showcase potentially severe habitat losses for cryophilic species under climate change

The Arctic is among the fastest-warming areas of the globe. Understanding the impact of climate change on foundational Arctic marine species is needed to provide insight on ecological resilience at high latitudes. Marine forests, the underwater seascapes formed by seaweeds, are predicted to expand t...

Full description

Bibliographic Details
Published in:Global Change Biology
Main Authors: Bringloe, Trevor T., Wilkinson, David P., Goldsmit, Jesica, Savoie, Amanda M., Filbee-Dexter, Karen, Macgregor, Kathleen A., Howland, Kimberly L., McKindsey, Christopher W., Verbruggen, Heroen
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/11250/3005057
https://doi.org/10.1111/gcb.16142
id ftimr:oai:imr.brage.unit.no:11250/3005057
record_format openpolar
spelling ftimr:oai:imr.brage.unit.no:11250/3005057 2023-05-15T14:29:17+02:00 Arctic marine forest distribution models showcase potentially severe habitat losses for cryophilic species under climate change Bringloe, Trevor T. Wilkinson, David P. Goldsmit, Jesica Savoie, Amanda M. Filbee-Dexter, Karen Macgregor, Kathleen A. Howland, Kimberly L. McKindsey, Christopher W. Verbruggen, Heroen 2022 application/pdf https://hdl.handle.net/11250/3005057 https://doi.org/10.1111/gcb.16142 eng eng Global Change Biology. 2022, 28 (11), 3711-3727. urn:issn:1354-1013 https://hdl.handle.net/11250/3005057 https://doi.org/10.1111/gcb.16142 cristin:2028423 3711-3727 28 Global Change Biology 11 Peer reviewed Journal article 2022 ftimr https://doi.org/10.1111/gcb.16142 2022-07-20T22:40:28Z The Arctic is among the fastest-warming areas of the globe. Understanding the impact of climate change on foundational Arctic marine species is needed to provide insight on ecological resilience at high latitudes. Marine forests, the underwater seascapes formed by seaweeds, are predicted to expand their ranges further north in the Arctic in a warmer climate. Here, we investigated whether northern habitat gains will compensate for losses at the southern range edge by modelling marine forest distributions according to three distribution categories: cryophilic (species restricted to the Arctic environment), cryotolerant (species with broad environmental preferences inclusive but not limited to the Arctic environment), and cryophobic (species restricted to temperate conditions) marine forests. Using stacked MaxEnt models, we predicted the current extent of suitable habitat for contemporary and future marine forests under Representative Concentration Pathway Scenarios of increasing emissions (2.6, 4.5, 6.0, and 8.5). Our analyses indicate that cryophilic marine forests are already ubiquitous in the north, and thus cannot expand their range under climate change, resulting in an overall loss of habitat due to severe southern range contractions. The extent of marine forests within the Arctic basin, however, is predicted to remain largely stable under climate change with notable exceptions in some areas, particularly in the Canadian Archipelago. Succession may occur where cryophilic and cryotolerant species are extirpated at their southern range edge, resulting in ecosystem shifts towards temperate regimes at mid to high latitudes, though many aspects of these shifts, such as total biomass and depth range, remain to be field validated. Our results provide the first global synthesis of predicted changes to pan-Arctic coastal marine forest ecosystems under climate change and suggest ecosystem transitions are unavoidable now for some areas. publishedVersion Article in Journal/Newspaper Arctic Basin Arctic Canadian Archipelago Climate change Institute for Marine Research: Brage IMR Arctic Global Change Biology 28 11 3711 3727
institution Open Polar
collection Institute for Marine Research: Brage IMR
op_collection_id ftimr
language English
description The Arctic is among the fastest-warming areas of the globe. Understanding the impact of climate change on foundational Arctic marine species is needed to provide insight on ecological resilience at high latitudes. Marine forests, the underwater seascapes formed by seaweeds, are predicted to expand their ranges further north in the Arctic in a warmer climate. Here, we investigated whether northern habitat gains will compensate for losses at the southern range edge by modelling marine forest distributions according to three distribution categories: cryophilic (species restricted to the Arctic environment), cryotolerant (species with broad environmental preferences inclusive but not limited to the Arctic environment), and cryophobic (species restricted to temperate conditions) marine forests. Using stacked MaxEnt models, we predicted the current extent of suitable habitat for contemporary and future marine forests under Representative Concentration Pathway Scenarios of increasing emissions (2.6, 4.5, 6.0, and 8.5). Our analyses indicate that cryophilic marine forests are already ubiquitous in the north, and thus cannot expand their range under climate change, resulting in an overall loss of habitat due to severe southern range contractions. The extent of marine forests within the Arctic basin, however, is predicted to remain largely stable under climate change with notable exceptions in some areas, particularly in the Canadian Archipelago. Succession may occur where cryophilic and cryotolerant species are extirpated at their southern range edge, resulting in ecosystem shifts towards temperate regimes at mid to high latitudes, though many aspects of these shifts, such as total biomass and depth range, remain to be field validated. Our results provide the first global synthesis of predicted changes to pan-Arctic coastal marine forest ecosystems under climate change and suggest ecosystem transitions are unavoidable now for some areas. publishedVersion
format Article in Journal/Newspaper
author Bringloe, Trevor T.
Wilkinson, David P.
Goldsmit, Jesica
Savoie, Amanda M.
Filbee-Dexter, Karen
Macgregor, Kathleen A.
Howland, Kimberly L.
McKindsey, Christopher W.
Verbruggen, Heroen
spellingShingle Bringloe, Trevor T.
Wilkinson, David P.
Goldsmit, Jesica
Savoie, Amanda M.
Filbee-Dexter, Karen
Macgregor, Kathleen A.
Howland, Kimberly L.
McKindsey, Christopher W.
Verbruggen, Heroen
Arctic marine forest distribution models showcase potentially severe habitat losses for cryophilic species under climate change
author_facet Bringloe, Trevor T.
Wilkinson, David P.
Goldsmit, Jesica
Savoie, Amanda M.
Filbee-Dexter, Karen
Macgregor, Kathleen A.
Howland, Kimberly L.
McKindsey, Christopher W.
Verbruggen, Heroen
author_sort Bringloe, Trevor T.
title Arctic marine forest distribution models showcase potentially severe habitat losses for cryophilic species under climate change
title_short Arctic marine forest distribution models showcase potentially severe habitat losses for cryophilic species under climate change
title_full Arctic marine forest distribution models showcase potentially severe habitat losses for cryophilic species under climate change
title_fullStr Arctic marine forest distribution models showcase potentially severe habitat losses for cryophilic species under climate change
title_full_unstemmed Arctic marine forest distribution models showcase potentially severe habitat losses for cryophilic species under climate change
title_sort arctic marine forest distribution models showcase potentially severe habitat losses for cryophilic species under climate change
publishDate 2022
url https://hdl.handle.net/11250/3005057
https://doi.org/10.1111/gcb.16142
geographic Arctic
geographic_facet Arctic
genre Arctic Basin
Arctic
Canadian Archipelago
Climate change
genre_facet Arctic Basin
Arctic
Canadian Archipelago
Climate change
op_source 3711-3727
28
Global Change Biology
11
op_relation Global Change Biology. 2022, 28 (11), 3711-3727.
urn:issn:1354-1013
https://hdl.handle.net/11250/3005057
https://doi.org/10.1111/gcb.16142
cristin:2028423
op_doi https://doi.org/10.1111/gcb.16142
container_title Global Change Biology
container_volume 28
container_issue 11
container_start_page 3711
op_container_end_page 3727
_version_ 1766303339740397568