Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach

Detalhes bibliográficos
Autor(a) principal: Christina, Mathias
Data de Publicação: 2015
Outros Autores: Nouvellon, Y., Laclau, J. P. [UNESP], Stape, J. L., Campoe, O. C., Le Maire, G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1139/cjfr-2015-0173
http://hdl.handle.net/11449/168430
Resumo: Understanding the consequences of changes in climatic and biological drivers on tree carbon and water fluxes is essential in forestry. Using a metamodeling approach, sensitivity and uncertainty analyses were carried out for a tree-scale model (MAESPA) to isolate the effects of climate, morphological and physiological traits, and intertree competition on the absorption of photosynthetically active radiation (APAR), gross primary production (GPP), transpiration (TR), light use efficiency (LUE), and water use efficiency (WUE) in clonal Eucalyptus plantations. The metamodel predicting daily TR was validated using one year of sap flow measurements and showed close agreement with the measurements (mean percentage error = 11%, n = 2155). Simulations showed that APAR, GPP, and TR were very sensitive to the tree morphology and to a competition index representing its local environment. LUE and WUE were, in addition, very sensitive to the natural variability of the physiological leaf and root parameters. A maximum percentage error of 10% in these parameters leads to 18%, 17%, 16%, 9%, and 18% uncertainty for APAR, GPP, TR, LUE, and WUE, respectively. The uncertainties in TR were highest for the smallest trees. This study highlighted the need to take account of the spatial and temporal variability of tree traits and environmental conditions for simulations at the tree scale.
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spelling Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approachEucalyptMAESTRAMetamodelingProcess-based modelSurrogate modelUnderstanding the consequences of changes in climatic and biological drivers on tree carbon and water fluxes is essential in forestry. Using a metamodeling approach, sensitivity and uncertainty analyses were carried out for a tree-scale model (MAESPA) to isolate the effects of climate, morphological and physiological traits, and intertree competition on the absorption of photosynthetically active radiation (APAR), gross primary production (GPP), transpiration (TR), light use efficiency (LUE), and water use efficiency (WUE) in clonal Eucalyptus plantations. The metamodel predicting daily TR was validated using one year of sap flow measurements and showed close agreement with the measurements (mean percentage error = 11%, n = 2155). Simulations showed that APAR, GPP, and TR were very sensitive to the tree morphology and to a competition index representing its local environment. LUE and WUE were, in addition, very sensitive to the natural variability of the physiological leaf and root parameters. A maximum percentage error of 10% in these parameters leads to 18%, 17%, 16%, 9%, and 18% uncertainty for APAR, GPP, TR, LUE, and WUE, respectively. The uncertainties in TR were highest for the smallest trees. This study highlighted the need to take account of the spatial and temporal variability of tree traits and environmental conditions for simulations at the tree scale.UMR Eco and Sols CIRAD, 2 place VialaSupAgro Montpellier, 2 place VialaDepartamento de Ciencias Atmosfericas Universidade de São PauloESALQ Universidade de São PauloForest Science Department UNESPDepartment of Forestry and Environmental Resources North Carolina State UniversityForestry Science and Research Institute-IPEFForest Science Department UNESPCIRADSupAgro MontpellierUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)North Carolina State UniversityForestry Science and Research Institute-IPEFChristina, MathiasNouvellon, Y.Laclau, J. P. [UNESP]Stape, J. L.Campoe, O. C.Le Maire, G.2018-12-11T16:41:14Z2018-12-11T16:41:14Z2015-08-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article297-309application/pdfhttp://dx.doi.org/10.1139/cjfr-2015-0173Canadian Journal of Forest Research, v. 46, n. 3, p. 297-309, 2015.1208-60370045-5067http://hdl.handle.net/11449/16843010.1139/cjfr-2015-01732-s2.0-849592985932-s2.0-84959298593.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCanadian Journal of Forest Research0,9690,969info:eu-repo/semantics/openAccess2023-12-28T06:19:37Zoai:repositorio.unesp.br:11449/168430Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:31:40.756640Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach
title Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach
spellingShingle Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach
Christina, Mathias
Eucalypt
MAESTRA
Metamodeling
Process-based model
Surrogate model
title_short Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach
title_full Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach
title_fullStr Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach
title_full_unstemmed Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach
title_sort Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach
author Christina, Mathias
author_facet Christina, Mathias
Nouvellon, Y.
Laclau, J. P. [UNESP]
Stape, J. L.
Campoe, O. C.
Le Maire, G.
author_role author
author2 Nouvellon, Y.
Laclau, J. P. [UNESP]
Stape, J. L.
Campoe, O. C.
Le Maire, G.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv CIRAD
SupAgro Montpellier
Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
North Carolina State University
Forestry Science and Research Institute-IPEF
dc.contributor.author.fl_str_mv Christina, Mathias
Nouvellon, Y.
Laclau, J. P. [UNESP]
Stape, J. L.
Campoe, O. C.
Le Maire, G.
dc.subject.por.fl_str_mv Eucalypt
MAESTRA
Metamodeling
Process-based model
Surrogate model
topic Eucalypt
MAESTRA
Metamodeling
Process-based model
Surrogate model
description Understanding the consequences of changes in climatic and biological drivers on tree carbon and water fluxes is essential in forestry. Using a metamodeling approach, sensitivity and uncertainty analyses were carried out for a tree-scale model (MAESPA) to isolate the effects of climate, morphological and physiological traits, and intertree competition on the absorption of photosynthetically active radiation (APAR), gross primary production (GPP), transpiration (TR), light use efficiency (LUE), and water use efficiency (WUE) in clonal Eucalyptus plantations. The metamodel predicting daily TR was validated using one year of sap flow measurements and showed close agreement with the measurements (mean percentage error = 11%, n = 2155). Simulations showed that APAR, GPP, and TR were very sensitive to the tree morphology and to a competition index representing its local environment. LUE and WUE were, in addition, very sensitive to the natural variability of the physiological leaf and root parameters. A maximum percentage error of 10% in these parameters leads to 18%, 17%, 16%, 9%, and 18% uncertainty for APAR, GPP, TR, LUE, and WUE, respectively. The uncertainties in TR were highest for the smallest trees. This study highlighted the need to take account of the spatial and temporal variability of tree traits and environmental conditions for simulations at the tree scale.
publishDate 2015
dc.date.none.fl_str_mv 2015-08-25
2018-12-11T16:41:14Z
2018-12-11T16:41:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1139/cjfr-2015-0173
Canadian Journal of Forest Research, v. 46, n. 3, p. 297-309, 2015.
1208-6037
0045-5067
http://hdl.handle.net/11449/168430
10.1139/cjfr-2015-0173
2-s2.0-84959298593
2-s2.0-84959298593.pdf
url http://dx.doi.org/10.1139/cjfr-2015-0173
http://hdl.handle.net/11449/168430
identifier_str_mv Canadian Journal of Forest Research, v. 46, n. 3, p. 297-309, 2015.
1208-6037
0045-5067
10.1139/cjfr-2015-0173
2-s2.0-84959298593
2-s2.0-84959298593.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Canadian Journal of Forest Research
0,969
0,969
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 297-309
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129331068665856

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