Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints

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On-going climate change is now recognized to yield physiological stresses on marine species, with potentially detrimental effects on ecosystems. Here, we evaluate the prospect of using climate velocities (CV) of the metabolic index (Φ) for assessing changes in habitat in the South East Pacific. Our...

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Detalles Bibliográficos
Autores: Parouffe, Alexandra, Garçon, Véronique, Dewitte, Boris, Paulmier, Aurélien, Montes Torres, Ivonne, Parada, Carolina, Mecho, Ariadna, Veliz, David
Formato: artículo
Fecha de Publicación:2023
Institución:Instituto Geofísico del Perú
Repositorio:IGP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.igp.gob.pe:20.500.12816/5389
Enlace del recurso:http://hdl.handle.net/20.500.12816/5389
https://doi.org/10.3389/fmars.2022.1055875
Nivel de acceso:acceso abierto
Materia:Metabolic index
Climate velocities
South East Pacific
Oxygen minimum zone
Deoxygenation
https://purl.org/pe-repo/ocde/ford#1.05.11
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dc.title.none.fl_str_mv Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints
title Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints
spellingShingle Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints
Parouffe, Alexandra
Metabolic index
Climate velocities
South East Pacific
Oxygen minimum zone
Deoxygenation
https://purl.org/pe-repo/ocde/ford#1.05.11
title_short Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints
title_full Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints
title_fullStr Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints
title_full_unstemmed Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints
title_sort Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints
author Parouffe, Alexandra
author_facet Parouffe, Alexandra
Garçon, Véronique
Dewitte, Boris
Paulmier, Aurélien
Montes Torres, Ivonne
Parada, Carolina
Mecho, Ariadna
Veliz, David
author_role author
author2 Garçon, Véronique
Dewitte, Boris
Paulmier, Aurélien
Montes Torres, Ivonne
Parada, Carolina
Mecho, Ariadna
Veliz, David
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Parouffe, Alexandra
Garçon, Véronique
Dewitte, Boris
Paulmier, Aurélien
Montes Torres, Ivonne
Parada, Carolina
Mecho, Ariadna
Veliz, David
dc.subject.none.fl_str_mv Metabolic index
Climate velocities
South East Pacific
Oxygen minimum zone
Deoxygenation
topic Metabolic index
Climate velocities
South East Pacific
Oxygen minimum zone
Deoxygenation
https://purl.org/pe-repo/ocde/ford#1.05.11
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.11
description On-going climate change is now recognized to yield physiological stresses on marine species, with potentially detrimental effects on ecosystems. Here, we evaluate the prospect of using climate velocities (CV) of the metabolic index (Φ) for assessing changes in habitat in the South East Pacific. Our approach is based on a species with mean ecophysiotype (i.e. model species) and the use of a global Earth System Model simulation (CESM-LE) under RCP 8.5 scenario. The SEP is chosen as a case study as it hosts an Oxygen Minimum Zone and seamounts systems sustaining local communities through artisanal fisheries. Our results indicate that CVΦ pattern is mainly constrained by the oxygen distribution and that its sign is affected by contrasting oxygen trends (including a re-oxygenation in the upper OMZ) and warming. We further show that CVΦ is weakly dependent on physiological traits composing Φ, which conveys to this metrics some value for inferring the projected mean displacement and potential changes in viability of metabolic habitat in a region where physiological data are scarce. Based on sensitivity experiments to physiological traits and natural variability, we propose a general method for inferring broad areas of climate change exposure regardless of species-specific Φ. We show in particular that for the model used here, the upper OMZ region can be considered a “safe” area for the species with ecophysiotype close to that of 71 species used to derive the model species. Limitations of the approach and perspectives of this work are also discussed.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-06-07T20:57:54Z
dc.date.available.none.fl_str_mv 2023-06-07T20:57:54Z
dc.date.issued.fl_str_mv 2023-01-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv Parouffe, A., Garçon, V., Dewitte, B., Paulmier, A., Montes, I., Parada, C., ... Veliz, D. (2023). Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints.==$Frontiers in Marine Science, 9,$==1055875. https://doi.org/10.3389/fmars.2022.1055875
dc.identifier.govdoc.none.fl_str_mv index-oti2018
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12816/5389
dc.identifier.journal.none.fl_str_mv Frontiers in Marine Science
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3389/fmars.2022.1055875
identifier_str_mv Parouffe, A., Garçon, V., Dewitte, B., Paulmier, A., Montes, I., Parada, C., ... Veliz, D. (2023). Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints.==$Frontiers in Marine Science, 9,$==1055875. https://doi.org/10.3389/fmars.2022.1055875
index-oti2018
Frontiers in Marine Science
url http://hdl.handle.net/20.500.12816/5389
https://doi.org/10.3389/fmars.2022.1055875
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:2296-7745
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
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instacron:IGP
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spelling Parouffe, AlexandraGarçon, VéroniqueDewitte, BorisPaulmier, AurélienMontes Torres, IvonneParada, CarolinaMecho, AriadnaVeliz, David2023-06-07T20:57:54Z2023-06-07T20:57:54Z2023-01-05Parouffe, A., Garçon, V., Dewitte, B., Paulmier, A., Montes, I., Parada, C., ... Veliz, D. (2023). Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints.==$Frontiers in Marine Science, 9,$==1055875. https://doi.org/10.3389/fmars.2022.1055875index-oti2018http://hdl.handle.net/20.500.12816/5389Frontiers in Marine Sciencehttps://doi.org/10.3389/fmars.2022.1055875On-going climate change is now recognized to yield physiological stresses on marine species, with potentially detrimental effects on ecosystems. Here, we evaluate the prospect of using climate velocities (CV) of the metabolic index (Φ) for assessing changes in habitat in the South East Pacific. Our approach is based on a species with mean ecophysiotype (i.e. model species) and the use of a global Earth System Model simulation (CESM-LE) under RCP 8.5 scenario. The SEP is chosen as a case study as it hosts an Oxygen Minimum Zone and seamounts systems sustaining local communities through artisanal fisheries. Our results indicate that CVΦ pattern is mainly constrained by the oxygen distribution and that its sign is affected by contrasting oxygen trends (including a re-oxygenation in the upper OMZ) and warming. We further show that CVΦ is weakly dependent on physiological traits composing Φ, which conveys to this metrics some value for inferring the projected mean displacement and potential changes in viability of metabolic habitat in a region where physiological data are scarce. Based on sensitivity experiments to physiological traits and natural variability, we propose a general method for inferring broad areas of climate change exposure regardless of species-specific Φ. We show in particular that for the model used here, the upper OMZ region can be considered a “safe” area for the species with ecophysiotype close to that of 71 species used to derive the model species. 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