Biologically meaningful distribution models highlight the benefits of the Paris Agreement for demersal fishing targets in the North Atlantic Ocean

Aim: With climate change challenging marine biodiversity and resource management, it is crucial to anticipate future latitudinal and depth shifts under contrasting global change scenarios to support policy-relevant biodiversity impact assessments [e.g., Intergovernmental Panel on Climate Change (IPC...

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Published in:Global Ecology and Biogeography
Main Authors: Ramos Martins, Manuel, Assis, Jorge, Abecasis, David
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2021
Subjects:
Online Access:http://hdl.handle.net/10400.1/15638
https://doi.org/10.1111/geb.13327
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spelling ftunivalgarve:oai:sapientia.ualg.pt:10400.1/15638 2023-05-15T17:32:08+02:00 Biologically meaningful distribution models highlight the benefits of the Paris Agreement for demersal fishing targets in the North Atlantic Ocean Ramos Martins, Manuel Assis, Jorge Abecasis, David 2021 http://hdl.handle.net/10400.1/15638 https://doi.org/10.1111/geb.13327 eng eng Wiley 1466-822X http://hdl.handle.net/10400.1/15638 doi:10.1111/geb.13327 openAccess Biologically meaningful predictors Climate change Demersal fish North Atlantic fisheries Paris agreement Species distribution modelling article 2021 ftunivalgarve https://doi.org/10.1111/geb.13327 2022-07-06T00:00:55Z Aim: With climate change challenging marine biodiversity and resource management, it is crucial to anticipate future latitudinal and depth shifts under contrasting global change scenarios to support policy-relevant biodiversity impact assessments [e.g., Intergovernmental Panel on Climate Change (IPCC)]. We aim to demonstrate the benefits of complying with the Paris Agreement (United Nations Framework Convention on Climate Change) and limiting environmental changes, by assessing future distributional shifts of 10 commercially important demersal fish species. Location: Northern Atlantic Ocean. Time period: Analyses of distributional shifts compared near present-day conditions (2000–2017) with two Representative Concentration Pathway (RCP) scenarios of future climate changes (2090–2100): one following the Paris Agreement climate forcing (RCP2.6) and another without stringent mitigation measures (RCP8.5). Major taxa studied: Demersal fish. Methods: We use machine learning distribution models coupled with biologically meaningful predictors to project future latitudinal and depth shifts. Structuring projections with information beyond temperature-based predictors allowed us to encompass the physiological limitations of species better. Results: Our models highlighted the additional roles of temperature, primary productivity and dissolved oxygen in shaping fish distributions (average relative contribution to the models of 32.12 ± 10.24, 15.6 ± 7.5 and 12.1 ± 6.1%, respectively). We anticipated a generalized trend of poleward shifts in both future scenarios, with aggravated changes in suitable area with RCP8.5 (average area loss with RCP2.6 = 13.3 ± 4.1%; RCP8.5 = 40.9 ± 13.3%). Shifts to deeper waters were also predicted to be of greater magnitude with RCP8.5 (average depth gain = 25.4 ± 21.5 m) than with RCP2.6 (average depth gain = 10.4 ± 7.9 m). Habitat losses were projected mostly in the Mediterranean, Celtic and Irish Seas, the southern areas of the North Sea and along the NE coast of North America. Main ... Article in Journal/Newspaper North Atlantic Universidade do Algarve: Sapienta Global Ecology and Biogeography
institution Open Polar
collection Universidade do Algarve: Sapienta
op_collection_id ftunivalgarve
language English
topic Biologically meaningful predictors
Climate change
Demersal fish
North Atlantic fisheries
Paris agreement
Species distribution modelling
spellingShingle Biologically meaningful predictors
Climate change
Demersal fish
North Atlantic fisheries
Paris agreement
Species distribution modelling
Ramos Martins, Manuel
Assis, Jorge
Abecasis, David
Biologically meaningful distribution models highlight the benefits of the Paris Agreement for demersal fishing targets in the North Atlantic Ocean
topic_facet Biologically meaningful predictors
Climate change
Demersal fish
North Atlantic fisheries
Paris agreement
Species distribution modelling
description Aim: With climate change challenging marine biodiversity and resource management, it is crucial to anticipate future latitudinal and depth shifts under contrasting global change scenarios to support policy-relevant biodiversity impact assessments [e.g., Intergovernmental Panel on Climate Change (IPCC)]. We aim to demonstrate the benefits of complying with the Paris Agreement (United Nations Framework Convention on Climate Change) and limiting environmental changes, by assessing future distributional shifts of 10 commercially important demersal fish species. Location: Northern Atlantic Ocean. Time period: Analyses of distributional shifts compared near present-day conditions (2000–2017) with two Representative Concentration Pathway (RCP) scenarios of future climate changes (2090–2100): one following the Paris Agreement climate forcing (RCP2.6) and another without stringent mitigation measures (RCP8.5). Major taxa studied: Demersal fish. Methods: We use machine learning distribution models coupled with biologically meaningful predictors to project future latitudinal and depth shifts. Structuring projections with information beyond temperature-based predictors allowed us to encompass the physiological limitations of species better. Results: Our models highlighted the additional roles of temperature, primary productivity and dissolved oxygen in shaping fish distributions (average relative contribution to the models of 32.12 ± 10.24, 15.6 ± 7.5 and 12.1 ± 6.1%, respectively). We anticipated a generalized trend of poleward shifts in both future scenarios, with aggravated changes in suitable area with RCP8.5 (average area loss with RCP2.6 = 13.3 ± 4.1%; RCP8.5 = 40.9 ± 13.3%). Shifts to deeper waters were also predicted to be of greater magnitude with RCP8.5 (average depth gain = 25.4 ± 21.5 m) than with RCP2.6 (average depth gain = 10.4 ± 7.9 m). Habitat losses were projected mostly in the Mediterranean, Celtic and Irish Seas, the southern areas of the North Sea and along the NE coast of North America. Main ...
format Article in Journal/Newspaper
author Ramos Martins, Manuel
Assis, Jorge
Abecasis, David
author_facet Ramos Martins, Manuel
Assis, Jorge
Abecasis, David
author_sort Ramos Martins, Manuel
title Biologically meaningful distribution models highlight the benefits of the Paris Agreement for demersal fishing targets in the North Atlantic Ocean
title_short Biologically meaningful distribution models highlight the benefits of the Paris Agreement for demersal fishing targets in the North Atlantic Ocean
title_full Biologically meaningful distribution models highlight the benefits of the Paris Agreement for demersal fishing targets in the North Atlantic Ocean
title_fullStr Biologically meaningful distribution models highlight the benefits of the Paris Agreement for demersal fishing targets in the North Atlantic Ocean
title_full_unstemmed Biologically meaningful distribution models highlight the benefits of the Paris Agreement for demersal fishing targets in the North Atlantic Ocean
title_sort biologically meaningful distribution models highlight the benefits of the paris agreement for demersal fishing targets in the north atlantic ocean
publisher Wiley
publishDate 2021
url http://hdl.handle.net/10400.1/15638
https://doi.org/10.1111/geb.13327
genre North Atlantic
genre_facet North Atlantic
op_relation 1466-822X
http://hdl.handle.net/10400.1/15638
doi:10.1111/geb.13327
op_rights openAccess
op_doi https://doi.org/10.1111/geb.13327
container_title Global Ecology and Biogeography
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