Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America

Autores
Lavergne, Aliénor; Gennaretti, Fabio; Risi, Camille; Daux, Valérie; Boucher, Etienne; Savard, Martine M.; Naulier, Maud; Villalba, Ricardo; Bégin, Christian; Guiot, Joël
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Oxygen isotopes in tree rings (δ18OTR) are widely used to reconstruct past climates. However, the complexity of climatic and biological processes controlling isotopic fractionation is not yet fully understood. Here, we use the MAIDENiso model to decipher the variability in δ18OTR of two temperature-sensitive species of relevant palaeoclimatological interest (Picea mariana and Nothofagus pumilio) and growing at cold high latitudes in North and South America. In this first modelling study on δ18OTR values in both northeastern Canada (53.86° N) and western Argentina (41.10° S), we specifically aim at (1) evaluating the predictive skill of MAIDENiso to simulate δ18OTR values, (2) identifying the physical processes controlling δ18OTR by mechanistic modelling and (3) defining the origin of the temperature signal recorded in the two species. Although the linear regression models used here to predict daily δ18O of precipitation (δ18OP) may need to be improved in the future, the resulting daily δ18OP values adequately reproduce observed (from weather stations) and simulated (by global circulation model) δ18OP series. The δ18OTR values of the two species are correctly simulated using the δ18OP estimation as MAIDENiso input, although some offset in mean δ18OTR levels is observed for the South American site. For both species, the variability in δ18OTR series is primarily linked to the effect of temperature on isotopic enrichment of the leaf water. We show that MAIDENiso is a powerful tool for investigating isotopic fractionation processes but that the lack of a denser isotope-enabled monitoring network recording oxygen fractionation in the soil-vegetation-atmosphere compartments limits our capacity to decipher the processes at play. This study proves that the eco-physiological modelling of δ18OTR values is necessary to interpret the recorded climate signal more reliably.
Fil: Lavergne, Aliénor. Aix Marseille Université; Francia
Fil: Gennaretti, Fabio. Aix Marseille Université; Francia
Fil: Risi, Camille. Laboratoirede Météorologie Dynamique; Francia
Fil: Daux, Valérie. Laboratoire Des Sciences Du Climat Et de Lenvironnemet; Francia
Fil: Boucher, Etienne. Université du Québec à Montréal; Canadá
Fil: Savard, Martine M.. Natural Resources Canada. Geological Survey of Canada; Canadá
Fil: Naulier, Maud. Institut de Radioprotection et de Sureté Nucléaire; Canadá
Fil: Villalba, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
Fil: Bégin, Christian. Natural Resources Canada. Geological Survey of Canada; Canadá
Fil: Guiot, Joël. Aix Marseille Université; Francia
Materia
Oxygen isotopes in tree rings
biological processes controlling isotopic fractionation
Nothofagus pumilio
MAIDENiso
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/57463
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/57463
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South AmericaLavergne, AliénorGennaretti, FabioRisi, CamilleDaux, ValérieBoucher, EtienneSavard, Martine M.Naulier, MaudVillalba, RicardoBégin, ChristianGuiot, JoëlOxygen isotopes in tree ringsbiological processes controlling isotopic fractionationNothofagus pumilioMAIDENisohttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Oxygen isotopes in tree rings (δ18OTR) are widely used to reconstruct past climates. However, the complexity of climatic and biological processes controlling isotopic fractionation is not yet fully understood. Here, we use the MAIDENiso model to decipher the variability in δ18OTR of two temperature-sensitive species of relevant palaeoclimatological interest (Picea mariana and Nothofagus pumilio) and growing at cold high latitudes in North and South America. In this first modelling study on δ18OTR values in both northeastern Canada (53.86° N) and western Argentina (41.10° S), we specifically aim at (1) evaluating the predictive skill of MAIDENiso to simulate δ18OTR values, (2) identifying the physical processes controlling δ18OTR by mechanistic modelling and (3) defining the origin of the temperature signal recorded in the two species. Although the linear regression models used here to predict daily δ18O of precipitation (δ18OP) may need to be improved in the future, the resulting daily δ18OP values adequately reproduce observed (from weather stations) and simulated (by global circulation model) δ18OP series. The δ18OTR values of the two species are correctly simulated using the δ18OP estimation as MAIDENiso input, although some offset in mean δ18OTR levels is observed for the South American site. For both species, the variability in δ18OTR series is primarily linked to the effect of temperature on isotopic enrichment of the leaf water. We show that MAIDENiso is a powerful tool for investigating isotopic fractionation processes but that the lack of a denser isotope-enabled monitoring network recording oxygen fractionation in the soil-vegetation-atmosphere compartments limits our capacity to decipher the processes at play. This study proves that the eco-physiological modelling of δ18OTR values is necessary to interpret the recorded climate signal more reliably.Fil: Lavergne, Aliénor. Aix Marseille Université; FranciaFil: Gennaretti, Fabio. Aix Marseille Université; FranciaFil: Risi, Camille. Laboratoirede Météorologie Dynamique; FranciaFil: Daux, Valérie. Laboratoire Des Sciences Du Climat Et de Lenvironnemet; FranciaFil: Boucher, Etienne. Université du Québec à Montréal; CanadáFil: Savard, Martine M.. Natural Resources Canada. Geological Survey of Canada; CanadáFil: Naulier, Maud. Institut de Radioprotection et de Sureté Nucléaire; CanadáFil: Villalba, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; ArgentinaFil: Bégin, Christian. Natural Resources Canada. Geological Survey of Canada; CanadáFil: Guiot, Joël. Aix Marseille Université; FranciaEuropean Geophysical Union2017-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/57463Lavergne, Aliénor; Gennaretti, Fabio; Risi, Camille; Daux, Valérie; Boucher, Etienne; et al.; Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America; European Geophysical Union; Climate of the Past; 13; 11; 11-2017; 1515-15261814-93241814-9332CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.clim-past.net/13/1515/2017/info:eu-repo/semantics/altIdentifier/doi/10.5194/cp-13-1515-2017info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:09:12Zoai:ri.conicet.gov.ar:11336/57463instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:09:12.958CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America
title Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America
spellingShingle Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America
Lavergne, Aliénor
Oxygen isotopes in tree rings
biological processes controlling isotopic fractionation
Nothofagus pumilio
MAIDENiso
title_short Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America
title_full Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America
title_fullStr Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America
title_full_unstemmed Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America
title_sort Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America
dc.creator.none.fl_str_mv Lavergne, Aliénor
Gennaretti, Fabio
Risi, Camille
Daux, Valérie
Boucher, Etienne
Savard, Martine M.
Naulier, Maud
Villalba, Ricardo
Bégin, Christian
Guiot, Joël
author Lavergne, Aliénor
author_facet Lavergne, Aliénor
Gennaretti, Fabio
Risi, Camille
Daux, Valérie
Boucher, Etienne
Savard, Martine M.
Naulier, Maud
Villalba, Ricardo
Bégin, Christian
Guiot, Joël
author_role author
author2 Gennaretti, Fabio
Risi, Camille
Daux, Valérie
Boucher, Etienne
Savard, Martine M.
Naulier, Maud
Villalba, Ricardo
Bégin, Christian
Guiot, Joël
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Oxygen isotopes in tree rings
biological processes controlling isotopic fractionation
Nothofagus pumilio
MAIDENiso
topic Oxygen isotopes in tree rings
biological processes controlling isotopic fractionation
Nothofagus pumilio
MAIDENiso
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Oxygen isotopes in tree rings (δ18OTR) are widely used to reconstruct past climates. However, the complexity of climatic and biological processes controlling isotopic fractionation is not yet fully understood. Here, we use the MAIDENiso model to decipher the variability in δ18OTR of two temperature-sensitive species of relevant palaeoclimatological interest (Picea mariana and Nothofagus pumilio) and growing at cold high latitudes in North and South America. In this first modelling study on δ18OTR values in both northeastern Canada (53.86° N) and western Argentina (41.10° S), we specifically aim at (1) evaluating the predictive skill of MAIDENiso to simulate δ18OTR values, (2) identifying the physical processes controlling δ18OTR by mechanistic modelling and (3) defining the origin of the temperature signal recorded in the two species. Although the linear regression models used here to predict daily δ18O of precipitation (δ18OP) may need to be improved in the future, the resulting daily δ18OP values adequately reproduce observed (from weather stations) and simulated (by global circulation model) δ18OP series. The δ18OTR values of the two species are correctly simulated using the δ18OP estimation as MAIDENiso input, although some offset in mean δ18OTR levels is observed for the South American site. For both species, the variability in δ18OTR series is primarily linked to the effect of temperature on isotopic enrichment of the leaf water. We show that MAIDENiso is a powerful tool for investigating isotopic fractionation processes but that the lack of a denser isotope-enabled monitoring network recording oxygen fractionation in the soil-vegetation-atmosphere compartments limits our capacity to decipher the processes at play. This study proves that the eco-physiological modelling of δ18OTR values is necessary to interpret the recorded climate signal more reliably.
Fil: Lavergne, Aliénor. Aix Marseille Université; Francia
Fil: Gennaretti, Fabio. Aix Marseille Université; Francia
Fil: Risi, Camille. Laboratoirede Météorologie Dynamique; Francia
Fil: Daux, Valérie. Laboratoire Des Sciences Du Climat Et de Lenvironnemet; Francia
Fil: Boucher, Etienne. Université du Québec à Montréal; Canadá
Fil: Savard, Martine M.. Natural Resources Canada. Geological Survey of Canada; Canadá
Fil: Naulier, Maud. Institut de Radioprotection et de Sureté Nucléaire; Canadá
Fil: Villalba, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
Fil: Bégin, Christian. Natural Resources Canada. Geological Survey of Canada; Canadá
Fil: Guiot, Joël. Aix Marseille Université; Francia
description Oxygen isotopes in tree rings (δ18OTR) are widely used to reconstruct past climates. However, the complexity of climatic and biological processes controlling isotopic fractionation is not yet fully understood. Here, we use the MAIDENiso model to decipher the variability in δ18OTR of two temperature-sensitive species of relevant palaeoclimatological interest (Picea mariana and Nothofagus pumilio) and growing at cold high latitudes in North and South America. In this first modelling study on δ18OTR values in both northeastern Canada (53.86° N) and western Argentina (41.10° S), we specifically aim at (1) evaluating the predictive skill of MAIDENiso to simulate δ18OTR values, (2) identifying the physical processes controlling δ18OTR by mechanistic modelling and (3) defining the origin of the temperature signal recorded in the two species. Although the linear regression models used here to predict daily δ18O of precipitation (δ18OP) may need to be improved in the future, the resulting daily δ18OP values adequately reproduce observed (from weather stations) and simulated (by global circulation model) δ18OP series. The δ18OTR values of the two species are correctly simulated using the δ18OP estimation as MAIDENiso input, although some offset in mean δ18OTR levels is observed for the South American site. For both species, the variability in δ18OTR series is primarily linked to the effect of temperature on isotopic enrichment of the leaf water. We show that MAIDENiso is a powerful tool for investigating isotopic fractionation processes but that the lack of a denser isotope-enabled monitoring network recording oxygen fractionation in the soil-vegetation-atmosphere compartments limits our capacity to decipher the processes at play. This study proves that the eco-physiological modelling of δ18OTR values is necessary to interpret the recorded climate signal more reliably.
publishDate 2017
dc.date.none.fl_str_mv 2017-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/57463
Lavergne, Aliénor; Gennaretti, Fabio; Risi, Camille; Daux, Valérie; Boucher, Etienne; et al.; Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America; European Geophysical Union; Climate of the Past; 13; 11; 11-2017; 1515-1526
1814-9324
1814-9332
CONICET Digital
CONICET
url http://hdl.handle.net/11336/57463
identifier_str_mv Lavergne, Aliénor; Gennaretti, Fabio; Risi, Camille; Daux, Valérie; Boucher, Etienne; et al.; Modelling tree ring cellulose δ18O variations in two temperature-sensitive tree species from North and South America; European Geophysical Union; Climate of the Past; 13; 11; 11-2017; 1515-1526
1814-9324
1814-9332
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.clim-past.net/13/1515/2017/
info:eu-repo/semantics/altIdentifier/doi/10.5194/cp-13-1515-2017
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv European Geophysical Union
publisher.none.fl_str_mv European Geophysical Union
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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