Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraints
Descripción del Articulo
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...
Autores: | , , , , , , , |
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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 |
dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
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application/pdf |
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Frontiers Media |
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Frontiers Media |
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Instituto Geofísico del Perú |
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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. Limitations of the approach and perspectives of this work are also discussed.Por paresapplication/pdfengFrontiers Mediaurn:issn:2296-7745info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Metabolic indexClimate velocitiesSouth East PacificOxygen minimum zoneDeoxygenationhttps://purl.org/pe-repo/ocde/ford#1.05.11Evaluating future climate change exposure of marine habitat in the South East Pacific based on metabolic constraintsinfo:eu-repo/semantics/articlereponame:IGP-Institucionalinstname:Instituto Geofísico del Perúinstacron:IGPORIGINALParouffe_et_al_2023_Front._Mar._Sci..pdfParouffe_et_al_2023_Front._Mar._Sci..pdfapplication/pdf4235083https://repositorio.igp.gob.pe/bitstreams/04ffc505-c0c7-4c39-af46-995eca64a902/downloadb1de0d90e9377beb60ad46941cf38064MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.igp.gob.pe/bitstreams/056e2b1c-5395-45e2-acaf-7a1628b8ca5b/download8a4605be74aa9ea9d79846c1fba20a33MD52TEXTParouffe_et_al_2023_Front._Mar._Sci..pdf.txtParouffe_et_al_2023_Front._Mar._Sci..pdf.txtExtracted texttext/plain81102https://repositorio.igp.gob.pe/bitstreams/e359007b-a3df-406b-8a82-3932e884594b/downloadd60717a6a21dcbb6a40911d631558037MD53THUMBNAILParouffe_et_al_2023_Front._Mar._Sci..pdf.jpgParouffe_et_al_2023_Front._Mar._Sci..pdf.jpgIM Thumbnailimage/jpeg112917https://repositorio.igp.gob.pe/bitstreams/484d6257-c129-48be-b8b1-000cfb7a9a20/download4a9285876915ea9962fcc3d159ce1e78MD5420.500.12816/5389oai:repositorio.igp.gob.pe:20.500.12816/53892024-10-01 16:35:48.939https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.igp.gob.peRepositorio Geofísico Nacionalbiblio@igp.gob.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 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).