Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/15615 |
Resumo: | Satellite and tower-based metrics of forest-scale photosynthesis generally increase with dry season progression across central Amazônia, but the underlying mechanisms lack consensus. We conducted demographic surveys of leaf age composition, and measured the age dependence of leaf physiology in broadleaf canopy trees of abundant species at a central eastern Amazon site. Using a novel leaf-to-branch scaling approach, we used these data to independently test the much-debated hypothesis – arising from satellite and tower-based observations – that leaf phenology could explain the forest-scale pattern of dry season photosynthesis. Stomatal conductance and biochemical parameters of photosynthesis were higher for recently mature leaves than for old leaves. Most branches had multiple leaf age categories simultaneously present, and the number of recently mature leaves increased as the dry season progressed because old leaves were exchanged for new leaves. These findings provide the first direct field evidence that branch-scale photosynthetic capacity increases during the dry season, with a magnitude consistent with increases in ecosystem-scale photosynthetic capacity derived from flux towers. Interactions between leaf age-dependent physiology and shifting leaf age-demographic composition are sufficient to explain the dry season photosynthetic capacity pattern at this site, and should be considered in vegetation models of tropical evergreen forests. © 2018 The Authors. New Phytologist © 2018 New Phytologist Trust |
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Albert, Loren P.Wu, JinProhaska, NeillCamargo, Plínio Barbosa deHuxman, Travis E.Tribuzy, Edgard SizaIvanov, Valeriy YuOliveira, Rafael S.Garcia, SabrinaSmith, Marielle N.Oliveira Junior, Raimundo CosmeRestrepo-Coupé, NataliaSilva, Rodrigo daStark, Scott C.Martins, Giordane AugustoPenha, Deliane VieiraSaleska, Scott Reid2020-05-15T14:59:45Z2020-05-15T14:59:45Z2018https://repositorio.inpa.gov.br/handle/1/1561510.1111/nph.15056Satellite and tower-based metrics of forest-scale photosynthesis generally increase with dry season progression across central Amazônia, but the underlying mechanisms lack consensus. We conducted demographic surveys of leaf age composition, and measured the age dependence of leaf physiology in broadleaf canopy trees of abundant species at a central eastern Amazon site. Using a novel leaf-to-branch scaling approach, we used these data to independently test the much-debated hypothesis – arising from satellite and tower-based observations – that leaf phenology could explain the forest-scale pattern of dry season photosynthesis. Stomatal conductance and biochemical parameters of photosynthesis were higher for recently mature leaves than for old leaves. Most branches had multiple leaf age categories simultaneously present, and the number of recently mature leaves increased as the dry season progressed because old leaves were exchanged for new leaves. These findings provide the first direct field evidence that branch-scale photosynthetic capacity increases during the dry season, with a magnitude consistent with increases in ecosystem-scale photosynthetic capacity derived from flux towers. Interactions between leaf age-dependent physiology and shifting leaf age-demographic composition are sufficient to explain the dry season photosynthetic capacity pattern at this site, and should be considered in vegetation models of tropical evergreen forests. © 2018 The Authors. New Phytologist © 2018 New Phytologist TrustVolume 219, Número 3, Pags. 870-884Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessAgeBiochemistryBroad-leaved ForestCarbonDemographic SurveyDroughtDry SeasonLeafOntogenyPhenologyPhotosynthesisPhysiologyStomatal ConductanceTropical ForestAmazoniaNiaCarbonChlorophyllBrasilForestGasMetabolismPhotosynthesisPhysiologyPlant LeafPlant StomaSeasonTime FactorBrasilCarbonChlorophyllForestsGasesPhotosynthesisPlant LeavesPlant StomataSeasonsTime FactorsAge-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forestinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleNew Phytologistengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf1528224https://repositorio.inpa.gov.br/bitstream/1/15615/1/artigo-inpa.pdf64e437894907d0376c10408faebbac4aMD511/156152020-05-15 11:53:28.067oai:repositorio:1/15615Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-05-15T15:53:28Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest |
title |
Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest |
spellingShingle |
Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest Albert, Loren P. Age Biochemistry Broad-leaved Forest Carbon Demographic Survey Drought Dry Season Leaf Ontogeny Phenology Photosynthesis Physiology Stomatal Conductance Tropical Forest Amazonia Nia Carbon Chlorophyll Brasil Forest Gas Metabolism Photosynthesis Physiology Plant Leaf Plant Stoma Season Time Factor Brasil Carbon Chlorophyll Forests Gases Photosynthesis Plant Leaves Plant Stomata Seasons Time Factors |
title_short |
Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest |
title_full |
Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest |
title_fullStr |
Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest |
title_full_unstemmed |
Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest |
title_sort |
Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest |
author |
Albert, Loren P. |
author_facet |
Albert, Loren P. Wu, Jin Prohaska, Neill Camargo, Plínio Barbosa de Huxman, Travis E. Tribuzy, Edgard Siza Ivanov, Valeriy Yu Oliveira, Rafael S. Garcia, Sabrina Smith, Marielle N. Oliveira Junior, Raimundo Cosme Restrepo-Coupé, Natalia Silva, Rodrigo da Stark, Scott C. Martins, Giordane Augusto Penha, Deliane Vieira Saleska, Scott Reid |
author_role |
author |
author2 |
Wu, Jin Prohaska, Neill Camargo, Plínio Barbosa de Huxman, Travis E. Tribuzy, Edgard Siza Ivanov, Valeriy Yu Oliveira, Rafael S. Garcia, Sabrina Smith, Marielle N. Oliveira Junior, Raimundo Cosme Restrepo-Coupé, Natalia Silva, Rodrigo da Stark, Scott C. Martins, Giordane Augusto Penha, Deliane Vieira Saleska, Scott Reid |
author2_role |
author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Albert, Loren P. Wu, Jin Prohaska, Neill Camargo, Plínio Barbosa de Huxman, Travis E. Tribuzy, Edgard Siza Ivanov, Valeriy Yu Oliveira, Rafael S. Garcia, Sabrina Smith, Marielle N. Oliveira Junior, Raimundo Cosme Restrepo-Coupé, Natalia Silva, Rodrigo da Stark, Scott C. Martins, Giordane Augusto Penha, Deliane Vieira Saleska, Scott Reid |
dc.subject.eng.fl_str_mv |
Age Biochemistry Broad-leaved Forest Carbon Demographic Survey Drought Dry Season Leaf Ontogeny Phenology Photosynthesis Physiology Stomatal Conductance Tropical Forest Amazonia Nia Carbon Chlorophyll Brasil Forest Gas Metabolism Photosynthesis Physiology Plant Leaf Plant Stoma Season Time Factor Brasil Carbon Chlorophyll Forests Gases Photosynthesis Plant Leaves Plant Stomata Seasons Time Factors |
topic |
Age Biochemistry Broad-leaved Forest Carbon Demographic Survey Drought Dry Season Leaf Ontogeny Phenology Photosynthesis Physiology Stomatal Conductance Tropical Forest Amazonia Nia Carbon Chlorophyll Brasil Forest Gas Metabolism Photosynthesis Physiology Plant Leaf Plant Stoma Season Time Factor Brasil Carbon Chlorophyll Forests Gases Photosynthesis Plant Leaves Plant Stomata Seasons Time Factors |
description |
Satellite and tower-based metrics of forest-scale photosynthesis generally increase with dry season progression across central Amazônia, but the underlying mechanisms lack consensus. We conducted demographic surveys of leaf age composition, and measured the age dependence of leaf physiology in broadleaf canopy trees of abundant species at a central eastern Amazon site. Using a novel leaf-to-branch scaling approach, we used these data to independently test the much-debated hypothesis – arising from satellite and tower-based observations – that leaf phenology could explain the forest-scale pattern of dry season photosynthesis. Stomatal conductance and biochemical parameters of photosynthesis were higher for recently mature leaves than for old leaves. Most branches had multiple leaf age categories simultaneously present, and the number of recently mature leaves increased as the dry season progressed because old leaves were exchanged for new leaves. These findings provide the first direct field evidence that branch-scale photosynthetic capacity increases during the dry season, with a magnitude consistent with increases in ecosystem-scale photosynthetic capacity derived from flux towers. Interactions between leaf age-dependent physiology and shifting leaf age-demographic composition are sufficient to explain the dry season photosynthetic capacity pattern at this site, and should be considered in vegetation models of tropical evergreen forests. © 2018 The Authors. New Phytologist © 2018 New Phytologist Trust |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018 |
dc.date.accessioned.fl_str_mv |
2020-05-15T14:59:45Z |
dc.date.available.fl_str_mv |
2020-05-15T14:59:45Z |
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/1/15615 |
dc.identifier.doi.none.fl_str_mv |
10.1111/nph.15056 |
url |
https://repositorio.inpa.gov.br/handle/1/15615 |
identifier_str_mv |
10.1111/nph.15056 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 219, Número 3, Pags. 870-884 |
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 |
New Phytologist |
publisher.none.fl_str_mv |
New Phytologist |
dc.source.none.fl_str_mv |
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INPA |
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Repositório Institucional do INPA |
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