Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem level

Detalhes bibliográficos
Autor(a) principal: Bao, Shanning
Data de Publicação: 2022
Outros Autores: Ibrom, Andreas, Wohlfahrt, Georg, Koirala, Sujan, Migliavacca, Mirco, Zhang, Qian, Carvalhais, Nuno
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/150566
Resumo: Funding Information: The present work has received funding from Sino-German (CSC-DAAD) Postdoc Scholarship Program (57460082).This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, and USCCC. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. Qian Zhang gratefully acknowledges the support of K. C. Wong Education Foundation and DAAD. Publisher Copyright: © 2022
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spelling Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem levelDifferentiating light use efficiencyDiffuse radiation ratioLight saturationModel selectionTwo-big-leafForestryGlobal and Planetary ChangeAgronomy and Crop ScienceAtmospheric ScienceFunding Information: The present work has received funding from Sino-German (CSC-DAAD) Postdoc Scholarship Program (57460082).This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, and USCCC. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. Qian Zhang gratefully acknowledges the support of K. C. Wong Education Foundation and DAAD. Publisher Copyright: © 2022This study aims to (1) investigate whether two-big-leaf light use efficiency (LUE) models (TL) outperform big-leaf LUE models (BL) by incorporating different gross primary productivity (GPP) responses in sunlit and shaded leaves; (2) explore the robustness of using the leaf area index (LAI), clumping index (Ω) and spherical leaf angle distribution to partition canopies into sunlit and shaded leaves across canopy architectures; (3) identify optimal light response forms in LUE models. To exclude influences of drivers of GPP other than radiation, we collected various formulations of GPP response functions to temperature, vapor pressure deficit, CO2, soil water supply, light intensity and cloudiness index to construct 5600 BLs and 1120 TLs. These models were evaluated at 196 globally-distributed eddy covariance sites from the FLUXNET observational network using the Nash-Sutcliffe model efficiency (NSE), root mean squared error and Bayesian information criterion. Across all sites, the best big-leaf model (BL*; NSE=0.82) was statistically equal to the best TL (TL*; NSE=0.84). However, daily dynamics in GPP under hot and dry conditions were best described using TL* in 17% of sites, highlighting the local importance in separating sunlit and shaded leaves. Across approaches to represent effective LAI, the best approach relies on using normalized difference vegetation index with a spherical or flexible leaf angle distribution across sites rather than satellite LAI and Ω. We also observed similar performance between non-rectangular hyperbola and reciprocal light response functions across TLs. Models degrade when the maximum LUE is not differentiated between sunlit and shaded leaves, but not when light saturation levels are the same. Despite functional differences, the best five TLs agree in a larger contribution of shaded leaf area to total GPP, resulting from higher LAI and LUE. Overall, these results suggest marginal but robust selection of TL compared to BL.DCEA - Departamento de Ciências e Engenharia do AmbienteRUNBao, ShanningIbrom, AndreasWohlfahrt, GeorgKoirala, SujanMigliavacca, MircoZhang, QianCarvalhais, Nuno2023-03-14T22:43:52Z2022-11-152022-11-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article17application/pdfhttp://hdl.handle.net/10362/150566eng0168-1923PURE: 55667557https://doi.org/10.1016/j.agrformet.2022.109185info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:32:35Zoai:run.unl.pt:10362/150566Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:11.288731Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem level
title Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem level
spellingShingle Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem level
Bao, Shanning
Differentiating light use efficiency
Diffuse radiation ratio
Light saturation
Model selection
Two-big-leaf
Forestry
Global and Planetary Change
Agronomy and Crop Science
Atmospheric Science
title_short Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem level
title_full Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem level
title_fullStr Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem level
title_full_unstemmed Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem level
title_sort Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem level
author Bao, Shanning
author_facet Bao, Shanning
Ibrom, Andreas
Wohlfahrt, Georg
Koirala, Sujan
Migliavacca, Mirco
Zhang, Qian
Carvalhais, Nuno
author_role author
author2 Ibrom, Andreas
Wohlfahrt, Georg
Koirala, Sujan
Migliavacca, Mirco
Zhang, Qian
Carvalhais, Nuno
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv DCEA - Departamento de Ciências e Engenharia do Ambiente
RUN
dc.contributor.author.fl_str_mv Bao, Shanning
Ibrom, Andreas
Wohlfahrt, Georg
Koirala, Sujan
Migliavacca, Mirco
Zhang, Qian
Carvalhais, Nuno
dc.subject.por.fl_str_mv Differentiating light use efficiency
Diffuse radiation ratio
Light saturation
Model selection
Two-big-leaf
Forestry
Global and Planetary Change
Agronomy and Crop Science
Atmospheric Science
topic Differentiating light use efficiency
Diffuse radiation ratio
Light saturation
Model selection
Two-big-leaf
Forestry
Global and Planetary Change
Agronomy and Crop Science
Atmospheric Science
description Funding Information: The present work has received funding from Sino-German (CSC-DAAD) Postdoc Scholarship Program (57460082).This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: AmeriFlux, AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada, GreenGrass, ICOS, KoFlux, LBA, NECC, OzFlux-TERN, TCOS-Siberia, and USCCC. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. Qian Zhang gratefully acknowledges the support of K. C. Wong Education Foundation and DAAD. Publisher Copyright: © 2022
publishDate 2022
dc.date.none.fl_str_mv 2022-11-15
2022-11-15T00:00:00Z
2023-03-14T22:43:52Z
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://hdl.handle.net/10362/150566
url http://hdl.handle.net/10362/150566
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0168-1923
PURE: 55667557
https://doi.org/10.1016/j.agrformet.2022.109185
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 17
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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