Amazon forest structure generates diurnal and seasonal variability in light utilization.

Detalhes bibliográficos
Autor(a) principal: MORTON, D. C.
Data de Publicação: 2016
Outros Autores: RUBIO, J., COOK, B. D., GASTELLU-ETCHEGORRY, J-P, LONGO, M., CHOI, H., HUNTER, M., KELLER, M.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1046806
Resumo: The complex three-dimensional (3-D) structure of tropical forests generates a diversity of light environments for canopy and understory trees. Understanding diurnal and seasonal changes in light availability is critical for interpreting measurements of net ecosystem exchange and improving ecosystem models. Here, we used the Discrete Anisotropic Radiative Transfer (DART) model to simulate leaf absorption of photosynthetically active radiation (lAPAR) for an Amazon forest. The 3-D model scene was developed from airborne lidar data, and local measurements of leaf reflectance, aerosols, and PAR were used to model lAPAR under direct and diffuse illumination conditions. Simulated lAPAR under clear-sky and cloudy conditions was corrected for light saturation effects to estimate light utilization, the fraction of lAPAR available for photosynthesis. Although the fraction of incoming PAR absorbed by leaves was consistent throughout the year (0.80?0.82), light utilization varied seasonally (0.67?0.74), with minimum values during the Amazon dry season. Shadowing and light saturation effects moderated potential gains in forest productivity from increasing PAR during dry-season months when the diffuse fraction from clouds and aerosols was low. Comparisons between DART and other models highlighted the role of 3-D forest structure to account for seasonal changes in light utilization. Our findings highlight how directional illumination and forest 3-D structure combine to influence diurnal and seasonal variability in light utilization, independent of further changes in leaf area, leaf age, or environmental controls on canopy photosynthesis. Changing illumination geometry constitutes an alternative biophysical explanation for observed seasonality in Amazon forest productivity without changes in canopy phenology.
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spelling Amazon forest structure generates diurnal and seasonal variability in light utilization.Tropical forestsThe complex three-dimensional (3-D) structure of tropical forests generates a diversity of light environments for canopy and understory trees. Understanding diurnal and seasonal changes in light availability is critical for interpreting measurements of net ecosystem exchange and improving ecosystem models. Here, we used the Discrete Anisotropic Radiative Transfer (DART) model to simulate leaf absorption of photosynthetically active radiation (lAPAR) for an Amazon forest. The 3-D model scene was developed from airborne lidar data, and local measurements of leaf reflectance, aerosols, and PAR were used to model lAPAR under direct and diffuse illumination conditions. Simulated lAPAR under clear-sky and cloudy conditions was corrected for light saturation effects to estimate light utilization, the fraction of lAPAR available for photosynthesis. Although the fraction of incoming PAR absorbed by leaves was consistent throughout the year (0.80?0.82), light utilization varied seasonally (0.67?0.74), with minimum values during the Amazon dry season. Shadowing and light saturation effects moderated potential gains in forest productivity from increasing PAR during dry-season months when the diffuse fraction from clouds and aerosols was low. Comparisons between DART and other models highlighted the role of 3-D forest structure to account for seasonal changes in light utilization. Our findings highlight how directional illumination and forest 3-D structure combine to influence diurnal and seasonal variability in light utilization, independent of further changes in leaf area, leaf age, or environmental controls on canopy photosynthesis. Changing illumination geometry constitutes an alternative biophysical explanation for observed seasonality in Amazon forest productivity without changes in canopy phenology.DOUGLAS C. MORTON, NASA; JEREMY RUBIO, NASA - Université de Toulouse; BRUCE D. COOK, NASA; JEAN-PHILIPPE GASTELLU-ETCHEGORRY, Université de Toulouse; MARCOS LONGO, BOLSISTA CNPM; HYEUNGU CHOI, Global Science & Technology Inc.; MARIA HUNTER, University of New Hampshire; MICHAEL KELLER, USDA Forest Service/ Pesquisador visitante CNPM.MORTON, D. C.RUBIO, J.COOK, B. D.GASTELLU-ETCHEGORRY, J-PLONGO, M.CHOI, H.HUNTER, M.KELLER, M.2016-06-10T11:11:11Z2016-06-10T11:11:11Z2016-06-1020162016-06-13T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBiogeosciences, v. 13, p. 2195?2206, 2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/104680610.5194/bg-13-2195-2016porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T02:36:27Zoai:www.alice.cnptia.embrapa.br:doc/1046806Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T02:36:27falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T02:36:27Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Amazon forest structure generates diurnal and seasonal variability in light utilization.
title Amazon forest structure generates diurnal and seasonal variability in light utilization.
spellingShingle Amazon forest structure generates diurnal and seasonal variability in light utilization.
MORTON, D. C.
Tropical forests
title_short Amazon forest structure generates diurnal and seasonal variability in light utilization.
title_full Amazon forest structure generates diurnal and seasonal variability in light utilization.
title_fullStr Amazon forest structure generates diurnal and seasonal variability in light utilization.
title_full_unstemmed Amazon forest structure generates diurnal and seasonal variability in light utilization.
title_sort Amazon forest structure generates diurnal and seasonal variability in light utilization.
author MORTON, D. C.
author_facet MORTON, D. C.
RUBIO, J.
COOK, B. D.
GASTELLU-ETCHEGORRY, J-P
LONGO, M.
CHOI, H.
HUNTER, M.
KELLER, M.
author_role author
author2 RUBIO, J.
COOK, B. D.
GASTELLU-ETCHEGORRY, J-P
LONGO, M.
CHOI, H.
HUNTER, M.
KELLER, M.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv DOUGLAS C. MORTON, NASA; JEREMY RUBIO, NASA - Université de Toulouse; BRUCE D. COOK, NASA; JEAN-PHILIPPE GASTELLU-ETCHEGORRY, Université de Toulouse; MARCOS LONGO, BOLSISTA CNPM; HYEUNGU CHOI, Global Science & Technology Inc.; MARIA HUNTER, University of New Hampshire; MICHAEL KELLER, USDA Forest Service/ Pesquisador visitante CNPM.
dc.contributor.author.fl_str_mv MORTON, D. C.
RUBIO, J.
COOK, B. D.
GASTELLU-ETCHEGORRY, J-P
LONGO, M.
CHOI, H.
HUNTER, M.
KELLER, M.
dc.subject.por.fl_str_mv Tropical forests
topic Tropical forests
description The complex three-dimensional (3-D) structure of tropical forests generates a diversity of light environments for canopy and understory trees. Understanding diurnal and seasonal changes in light availability is critical for interpreting measurements of net ecosystem exchange and improving ecosystem models. Here, we used the Discrete Anisotropic Radiative Transfer (DART) model to simulate leaf absorption of photosynthetically active radiation (lAPAR) for an Amazon forest. The 3-D model scene was developed from airborne lidar data, and local measurements of leaf reflectance, aerosols, and PAR were used to model lAPAR under direct and diffuse illumination conditions. Simulated lAPAR under clear-sky and cloudy conditions was corrected for light saturation effects to estimate light utilization, the fraction of lAPAR available for photosynthesis. Although the fraction of incoming PAR absorbed by leaves was consistent throughout the year (0.80?0.82), light utilization varied seasonally (0.67?0.74), with minimum values during the Amazon dry season. Shadowing and light saturation effects moderated potential gains in forest productivity from increasing PAR during dry-season months when the diffuse fraction from clouds and aerosols was low. Comparisons between DART and other models highlighted the role of 3-D forest structure to account for seasonal changes in light utilization. Our findings highlight how directional illumination and forest 3-D structure combine to influence diurnal and seasonal variability in light utilization, independent of further changes in leaf area, leaf age, or environmental controls on canopy photosynthesis. Changing illumination geometry constitutes an alternative biophysical explanation for observed seasonality in Amazon forest productivity without changes in canopy phenology.
publishDate 2016
dc.date.none.fl_str_mv 2016-06-10T11:11:11Z
2016-06-10T11:11:11Z
2016-06-10
2016
2016-06-13T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv Biogeosciences, v. 13, p. 2195?2206, 2016.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1046806
10.5194/bg-13-2195-2016
identifier_str_mv Biogeosciences, v. 13, p. 2195?2206, 2016.
10.5194/bg-13-2195-2016
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1046806
dc.language.iso.fl_str_mv por
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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