Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/15480 |
Resumo: | Leaf phenology in the humid tropics largely regulates the seasonality of forest carbon and water exchange. However, it is inadequately represented in most global land surface models due to limited understanding of its controls. Based on intensive field studies at four Amazonian evergreen forests, we propose a novel, quantitative representation of tropical forest leaf phenology, which links multiple environmental variables with the seasonality of new leaf production and old leaf litterfall. The new phenology simulates higher rates of leaf turnover (new leaves replacing old leaves) in dry seasons with more sunlight, which is then implemented in ORCHIDEE, together with recent findings of ontogeny-associated photosynthetic capacity, and is evaluated against ground-based measurements of leaf phenology (canopy leaf area index and litterfall), eddy covariance fluxes (photosynthesis and latent heat), and carbon allocations from field observations. Results show the periodical cycles of solar radiation and vapor pressure deficit are the two most important environmental variables that are empirically related to new leaf production and old leaf abscission in tropical evergreen forests. The model with new representation of leaf phenology captures the seasonality of canopy photosynthesis at three out of four sites, as well as the seasonality of litterfall, latent heat, and light use efficiency of photosynthesis at all tested sites, and improves the seasonality of carbon allocations to leaves, roots, and sapwoods. This study advances understanding of the environmental controls on tropical leaf phenology and offers an improved modeling tool for gridded simulations of interannual CO2 and water fluxes in the tropics. ©2019. The Authors. |
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Chen, XiuzhiMaignan, FabienneViovy, NicolasBastos, AnaGoll, Daniel S.Wu, JinLiu, LiyangYue, ChaoPeng, ShushiYuan, WenpingConceição, Adriana Castro daO'Sullivan, MichaelCiais, Philippe2020-05-14T15:32:09Z2020-05-14T15:32:09Z2020https://repositorio.inpa.gov.br/handle/1/1548010.1029/2018MS001565Leaf phenology in the humid tropics largely regulates the seasonality of forest carbon and water exchange. However, it is inadequately represented in most global land surface models due to limited understanding of its controls. Based on intensive field studies at four Amazonian evergreen forests, we propose a novel, quantitative representation of tropical forest leaf phenology, which links multiple environmental variables with the seasonality of new leaf production and old leaf litterfall. The new phenology simulates higher rates of leaf turnover (new leaves replacing old leaves) in dry seasons with more sunlight, which is then implemented in ORCHIDEE, together with recent findings of ontogeny-associated photosynthetic capacity, and is evaluated against ground-based measurements of leaf phenology (canopy leaf area index and litterfall), eddy covariance fluxes (photosynthesis and latent heat), and carbon allocations from field observations. Results show the periodical cycles of solar radiation and vapor pressure deficit are the two most important environmental variables that are empirically related to new leaf production and old leaf abscission in tropical evergreen forests. The model with new representation of leaf phenology captures the seasonality of canopy photosynthesis at three out of four sites, as well as the seasonality of litterfall, latent heat, and light use efficiency of photosynthesis at all tested sites, and improves the seasonality of carbon allocations to leaves, roots, and sapwoods. This study advances understanding of the environmental controls on tropical leaf phenology and offers an improved modeling tool for gridded simulations of interannual CO2 and water fluxes in the tropics. ©2019. The Authors.Volume 12, Número 1Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessCarbonLatent HeatPhotosynthesisPlants (botany)Surface MeasurementTropicsAmazonCarbon AllocationGross Primary ProductionLitterfallsTropical ForestWater FluxForestryBiomass AllocationCarbon FluxEddy CovarianceEvergreen ForestHumid TropicsLand SurfaceLeaf AreaLeaf Area IndexLight Use EfficiencyLitterfallNet Primary ProductionPhenologySeasonalitySolar RadiationTropical ForestWater FluxAmazoniaNovel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Modelinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleJournal of Advances in Modeling Earth Systemsengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALNovel.pdfNovel.pdfapplication/pdf3231913https://repositorio.inpa.gov.br/bitstream/1/15480/1/Novel.pdf99d93e3171c6399330c9195c1797fcc2MD511/154802020-05-29 10:40:33.331oai:repositorio:1/15480Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-05-29T14:40:33Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model |
title |
Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model |
spellingShingle |
Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model Chen, Xiuzhi Carbon Latent Heat Photosynthesis Plants (botany) Surface Measurement Tropics Amazon Carbon Allocation Gross Primary Production Litterfalls Tropical Forest Water Flux Forestry Biomass Allocation Carbon Flux Eddy Covariance Evergreen Forest Humid Tropics Land Surface Leaf Area Leaf Area Index Light Use Efficiency Litterfall Net Primary Production Phenology Seasonality Solar Radiation Tropical Forest Water Flux Amazonia |
title_short |
Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model |
title_full |
Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model |
title_fullStr |
Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model |
title_full_unstemmed |
Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model |
title_sort |
Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model |
author |
Chen, Xiuzhi |
author_facet |
Chen, Xiuzhi Maignan, Fabienne Viovy, Nicolas Bastos, Ana Goll, Daniel S. Wu, Jin Liu, Liyang Yue, Chao Peng, Shushi Yuan, Wenping Conceição, Adriana Castro da O'Sullivan, Michael Ciais, Philippe |
author_role |
author |
author2 |
Maignan, Fabienne Viovy, Nicolas Bastos, Ana Goll, Daniel S. Wu, Jin Liu, Liyang Yue, Chao Peng, Shushi Yuan, Wenping Conceição, Adriana Castro da O'Sullivan, Michael Ciais, Philippe |
author2_role |
author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Chen, Xiuzhi Maignan, Fabienne Viovy, Nicolas Bastos, Ana Goll, Daniel S. Wu, Jin Liu, Liyang Yue, Chao Peng, Shushi Yuan, Wenping Conceição, Adriana Castro da O'Sullivan, Michael Ciais, Philippe |
dc.subject.eng.fl_str_mv |
Carbon Latent Heat Photosynthesis Plants (botany) Surface Measurement Tropics Amazon Carbon Allocation Gross Primary Production Litterfalls Tropical Forest Water Flux Forestry Biomass Allocation Carbon Flux Eddy Covariance Evergreen Forest Humid Tropics Land Surface Leaf Area Leaf Area Index Light Use Efficiency Litterfall Net Primary Production Phenology Seasonality Solar Radiation Tropical Forest Water Flux Amazonia |
topic |
Carbon Latent Heat Photosynthesis Plants (botany) Surface Measurement Tropics Amazon Carbon Allocation Gross Primary Production Litterfalls Tropical Forest Water Flux Forestry Biomass Allocation Carbon Flux Eddy Covariance Evergreen Forest Humid Tropics Land Surface Leaf Area Leaf Area Index Light Use Efficiency Litterfall Net Primary Production Phenology Seasonality Solar Radiation Tropical Forest Water Flux Amazonia |
description |
Leaf phenology in the humid tropics largely regulates the seasonality of forest carbon and water exchange. However, it is inadequately represented in most global land surface models due to limited understanding of its controls. Based on intensive field studies at four Amazonian evergreen forests, we propose a novel, quantitative representation of tropical forest leaf phenology, which links multiple environmental variables with the seasonality of new leaf production and old leaf litterfall. The new phenology simulates higher rates of leaf turnover (new leaves replacing old leaves) in dry seasons with more sunlight, which is then implemented in ORCHIDEE, together with recent findings of ontogeny-associated photosynthetic capacity, and is evaluated against ground-based measurements of leaf phenology (canopy leaf area index and litterfall), eddy covariance fluxes (photosynthesis and latent heat), and carbon allocations from field observations. Results show the periodical cycles of solar radiation and vapor pressure deficit are the two most important environmental variables that are empirically related to new leaf production and old leaf abscission in tropical evergreen forests. The model with new representation of leaf phenology captures the seasonality of canopy photosynthesis at three out of four sites, as well as the seasonality of litterfall, latent heat, and light use efficiency of photosynthesis at all tested sites, and improves the seasonality of carbon allocations to leaves, roots, and sapwoods. This study advances understanding of the environmental controls on tropical leaf phenology and offers an improved modeling tool for gridded simulations of interannual CO2 and water fluxes in the tropics. ©2019. The Authors. |
publishDate |
2020 |
dc.date.accessioned.fl_str_mv |
2020-05-14T15:32:09Z |
dc.date.available.fl_str_mv |
2020-05-14T15:32:09Z |
dc.date.issued.fl_str_mv |
2020 |
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 |
https://repositorio.inpa.gov.br/handle/1/15480 |
dc.identifier.doi.none.fl_str_mv |
10.1029/2018MS001565 |
url |
https://repositorio.inpa.gov.br/handle/1/15480 |
identifier_str_mv |
10.1029/2018MS001565 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 12, Número 1 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Journal of Advances in Modeling Earth Systems |
publisher.none.fl_str_mv |
Journal of Advances in Modeling Earth Systems |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional do INPA instname:Instituto Nacional de Pesquisas da Amazônia (INPA) instacron:INPA |
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Instituto Nacional de Pesquisas da Amazônia (INPA) |
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INPA |
institution |
INPA |
reponame_str |
Repositório Institucional do INPA |
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Repositório Institucional do INPA |
bitstream.url.fl_str_mv |
https://repositorio.inpa.gov.br/bitstream/1/15480/1/Novel.pdf |
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99d93e3171c6399330c9195c1797fcc2 |
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Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA) |
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1809928907518902272 |