Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin.
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
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/1055115 |
Resumo: | Canopy and aerodynamic conductances (gC and gA) are two of the key land surface biophysical variables that control the land surface response of land surface schemes in climate models. Their representation is crucial for predicting transpiration (λET) and evaporation (λEE) flux components of the terrestrial latent heat flux (λE), which has important implications for global climate change and water resource management. By physical integration of radiometric surface temperature (TR) into an integrated framework of the Penman?Monteith and Shuttleworth?Wallace models, we present a novel approach to directly quantify the canopy-scale biophysical controls on λET and λEE over multiple plant functional types (PFTs) in the Amazon Basin. Combining data from six LBA (Large-scale Biosphere-Atmosphere Experiment in Amazonia) eddy covariance tower sites and a TR-driven physically based modeling approach, we identified the canopy-scale feedback-response mechanism between gC, λET, and atmospheric vapor pressure deficit (DA), without using any leaf-scale empirical parameterizations for the modeling. The TR-based model shows minor biophysical control on λET during the wet (rainy) seasons where λET becomes predominantly radiation driven and net radiation (RN) determines 75 to 80 % of the variances of λET. However, biophysical control on λET is dramatically increased during the dry seasons, and particularly the 2005 drought year, explaining 50 to 65 % of the variances of λET, and indicates λET to be substantially soil moisture driven during the rainfall deficit phase. Despite substantial differences in gA between forests and pastures, very similar canopy?atmosphere "coupling" was found in these two biomes due to soil moisture-induced decrease in gC in the pasture. This revealed the pragmatic aspect of the TR-driven model behavior that exhibits a high sensitivity of gC to per unit change in wetness as opposed to gA that is marginally sensitive to surface wetness variability. Our results reveal the occurrence of a significant hysteresis between λET and gC during the dry season for the pasture sites, which is attributed to relatively low soil water availability as compared to the rainforests, likely due to differences in rooting depth between the two systems. Evaporation was significantly influenced by gA for all the PFTs and across all wetness conditions. Our analytical framework logically captures the responses of gC and gA to changes in atmospheric radiation, DA, and surface radiometric temperature, and thus appears to be promising for the improvement of existing land?surface?atmosphere exchange parameterizations across a range of spatial scales. |
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Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin.TrasnpiraçãoClimatologiaEvaporaçãoAmazoniaCanopy and aerodynamic conductances (gC and gA) are two of the key land surface biophysical variables that control the land surface response of land surface schemes in climate models. Their representation is crucial for predicting transpiration (λET) and evaporation (λEE) flux components of the terrestrial latent heat flux (λE), which has important implications for global climate change and water resource management. By physical integration of radiometric surface temperature (TR) into an integrated framework of the Penman?Monteith and Shuttleworth?Wallace models, we present a novel approach to directly quantify the canopy-scale biophysical controls on λET and λEE over multiple plant functional types (PFTs) in the Amazon Basin. Combining data from six LBA (Large-scale Biosphere-Atmosphere Experiment in Amazonia) eddy covariance tower sites and a TR-driven physically based modeling approach, we identified the canopy-scale feedback-response mechanism between gC, λET, and atmospheric vapor pressure deficit (DA), without using any leaf-scale empirical parameterizations for the modeling. The TR-based model shows minor biophysical control on λET during the wet (rainy) seasons where λET becomes predominantly radiation driven and net radiation (RN) determines 75 to 80 % of the variances of λET. However, biophysical control on λET is dramatically increased during the dry seasons, and particularly the 2005 drought year, explaining 50 to 65 % of the variances of λET, and indicates λET to be substantially soil moisture driven during the rainfall deficit phase. Despite substantial differences in gA between forests and pastures, very similar canopy?atmosphere "coupling" was found in these two biomes due to soil moisture-induced decrease in gC in the pasture. This revealed the pragmatic aspect of the TR-driven model behavior that exhibits a high sensitivity of gC to per unit change in wetness as opposed to gA that is marginally sensitive to surface wetness variability. Our results reveal the occurrence of a significant hysteresis between λET and gC during the dry season for the pasture sites, which is attributed to relatively low soil water availability as compared to the rainforests, likely due to differences in rooting depth between the two systems. Evaporation was significantly influenced by gA for all the PFTs and across all wetness conditions. Our analytical framework logically captures the responses of gC and gA to changes in atmospheric radiation, DA, and surface radiometric temperature, and thus appears to be promising for the improvement of existing land?surface?atmosphere exchange parameterizations across a range of spatial scales.Kaniska Mallick, Luxembourg Institute of Science and Technology; Ivonne Trebs, Luxembourg Institute of Science and Technology; Eva Boegh, Roskilde University; Laura Giustarini, Luxembourg Institute of Science and Technology; Martin Schlerf, Luxembourg Institute of Science and Technology; Darren T. Drewry, California Institute of Technology / University of California; Lucien Hoffmann, Luxembourg Institute of Science and Technology; Celso von Randow, INPE; Bart Kruijt, Wageningen Environmental Research (ALTERRA); ALESSANDRO CARIOCA DE ARAUJO, CPATU; Scott Saleska, University of Arizona; James R. Ehleringer, University of Utah; Tomas F. Domingues, USP; Jean Pierre H. B. Ometto, INPE; Antonio D. Nobre, INPE; Osvaldo Luiz Leal de Moraes, Centro Nacional de Monitoramento e Alertas de Desastres Naturais; Matthew Hayek, Harvard University; J. William Munger, Harvard University; Steven C. Wofsy, Harvard University.MALLICK, K.TREBS, I.BOEGH, E.GIUSTARINI, L.SCHLERF, M.DREWRY, D. T.HOFFMANN, L.RANDOW, C. vonKRUIJT, B.ARAUJO, A.SALESKA, S.EHLERINGER, J. R.DOMINGUES, T. F.OMETTO, J. P. H. B.NOBRE, A. D.MORAES, O. L. L. deHAYEK, M.MUNGER, J. W.WOFSY, S. C.2016-10-20T11:11:11Z2016-10-20T11:11:11Z2016-10-2020162017-03-02T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleHydrology and Earth System Science, v. 20, n. 10, p. 4237-4264, 2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/105511510.5194/hess-20-4237-2016enginfo: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:EMBRAPA2017-08-16T02:41:47Zoai:www.alice.cnptia.embrapa.br:doc/1055115Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T02:41:47falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T02:41:47Repositório 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 |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
title |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
spellingShingle |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. MALLICK, K. Trasnpiração Climatologia Evaporação Amazonia |
title_short |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
title_full |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
title_fullStr |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
title_full_unstemmed |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
title_sort |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
author |
MALLICK, K. |
author_facet |
MALLICK, K. TREBS, I. BOEGH, E. GIUSTARINI, L. SCHLERF, M. DREWRY, D. T. HOFFMANN, L. RANDOW, C. von KRUIJT, B. ARAUJO, A. SALESKA, S. EHLERINGER, J. R. DOMINGUES, T. F. OMETTO, J. P. H. B. NOBRE, A. D. MORAES, O. L. L. de HAYEK, M. MUNGER, J. W. WOFSY, S. C. |
author_role |
author |
author2 |
TREBS, I. BOEGH, E. GIUSTARINI, L. SCHLERF, M. DREWRY, D. T. HOFFMANN, L. RANDOW, C. von KRUIJT, B. ARAUJO, A. SALESKA, S. EHLERINGER, J. R. DOMINGUES, T. F. OMETTO, J. P. H. B. NOBRE, A. D. MORAES, O. L. L. de HAYEK, M. MUNGER, J. W. WOFSY, S. C. |
author2_role |
author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Kaniska Mallick, Luxembourg Institute of Science and Technology; Ivonne Trebs, Luxembourg Institute of Science and Technology; Eva Boegh, Roskilde University; Laura Giustarini, Luxembourg Institute of Science and Technology; Martin Schlerf, Luxembourg Institute of Science and Technology; Darren T. Drewry, California Institute of Technology / University of California; Lucien Hoffmann, Luxembourg Institute of Science and Technology; Celso von Randow, INPE; Bart Kruijt, Wageningen Environmental Research (ALTERRA); ALESSANDRO CARIOCA DE ARAUJO, CPATU; Scott Saleska, University of Arizona; James R. Ehleringer, University of Utah; Tomas F. Domingues, USP; Jean Pierre H. B. Ometto, INPE; Antonio D. Nobre, INPE; Osvaldo Luiz Leal de Moraes, Centro Nacional de Monitoramento e Alertas de Desastres Naturais; Matthew Hayek, Harvard University; J. William Munger, Harvard University; Steven C. Wofsy, Harvard University. |
dc.contributor.author.fl_str_mv |
MALLICK, K. TREBS, I. BOEGH, E. GIUSTARINI, L. SCHLERF, M. DREWRY, D. T. HOFFMANN, L. RANDOW, C. von KRUIJT, B. ARAUJO, A. SALESKA, S. EHLERINGER, J. R. DOMINGUES, T. F. OMETTO, J. P. H. B. NOBRE, A. D. MORAES, O. L. L. de HAYEK, M. MUNGER, J. W. WOFSY, S. C. |
dc.subject.por.fl_str_mv |
Trasnpiração Climatologia Evaporação Amazonia |
topic |
Trasnpiração Climatologia Evaporação Amazonia |
description |
Canopy and aerodynamic conductances (gC and gA) are two of the key land surface biophysical variables that control the land surface response of land surface schemes in climate models. Their representation is crucial for predicting transpiration (λET) and evaporation (λEE) flux components of the terrestrial latent heat flux (λE), which has important implications for global climate change and water resource management. By physical integration of radiometric surface temperature (TR) into an integrated framework of the Penman?Monteith and Shuttleworth?Wallace models, we present a novel approach to directly quantify the canopy-scale biophysical controls on λET and λEE over multiple plant functional types (PFTs) in the Amazon Basin. Combining data from six LBA (Large-scale Biosphere-Atmosphere Experiment in Amazonia) eddy covariance tower sites and a TR-driven physically based modeling approach, we identified the canopy-scale feedback-response mechanism between gC, λET, and atmospheric vapor pressure deficit (DA), without using any leaf-scale empirical parameterizations for the modeling. The TR-based model shows minor biophysical control on λET during the wet (rainy) seasons where λET becomes predominantly radiation driven and net radiation (RN) determines 75 to 80 % of the variances of λET. However, biophysical control on λET is dramatically increased during the dry seasons, and particularly the 2005 drought year, explaining 50 to 65 % of the variances of λET, and indicates λET to be substantially soil moisture driven during the rainfall deficit phase. Despite substantial differences in gA between forests and pastures, very similar canopy?atmosphere "coupling" was found in these two biomes due to soil moisture-induced decrease in gC in the pasture. This revealed the pragmatic aspect of the TR-driven model behavior that exhibits a high sensitivity of gC to per unit change in wetness as opposed to gA that is marginally sensitive to surface wetness variability. Our results reveal the occurrence of a significant hysteresis between λET and gC during the dry season for the pasture sites, which is attributed to relatively low soil water availability as compared to the rainforests, likely due to differences in rooting depth between the two systems. Evaporation was significantly influenced by gA for all the PFTs and across all wetness conditions. Our analytical framework logically captures the responses of gC and gA to changes in atmospheric radiation, DA, and surface radiometric temperature, and thus appears to be promising for the improvement of existing land?surface?atmosphere exchange parameterizations across a range of spatial scales. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-10-20T11:11:11Z 2016-10-20T11:11:11Z 2016-10-20 2016 2017-03-02T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Hydrology and Earth System Science, v. 20, n. 10, p. 4237-4264, 2016. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1055115 10.5194/hess-20-4237-2016 |
identifier_str_mv |
Hydrology and Earth System Science, v. 20, n. 10, p. 4237-4264, 2016. 10.5194/hess-20-4237-2016 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1055115 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503427591503872 |