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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
20/10/2016 |
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Data da última atualização: |
20/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
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. |
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Afiliação: |
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 DREWRY, California Institute of Technology; LUCIEN HOFFMANN, Luxembourg Institute of Science and Technology; CELSO VON RANDOW, INPE; BART KRUIJT, Wageningen University and Research Centre; 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; WILLIAM MUNGER, Harvard University; STEVE WOFSY, Harvard University. |
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Título: |
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Hydrology and Earth System Science Discussions, 27 Jan. 2016. |
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DOI: |
10.5194/hess-2015-552 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
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. MenosCanopy 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... Mostrar Tudo |
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Palavras-Chave: |
Transpiração; Trasnpiração. |
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Thesagro: |
Climatologia; Evaporação. |
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Thesaurus Nal: |
Amazonia. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/149606/1/hess-2015-552.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/149045/1/hess-20-4237-2016.pdf
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Marc: |
LEADER 03867naa a2200409 a 4500
001 2055915
005 2022-05-20
008 2016 bl uuuu u00u1 u #d
024 7 $a10.5194/hess-2015-552$2DOI
100 1 $aMALLICK, K.
245 $aCanopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin.$h[electronic resource]
260 $c2016
520 $aCanopy 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.
650 $aAmazonia
650 $aClimatologia
650 $aEvaporação
653 $aTranspiração
653 $aTrasnpiração
700 1 $aTREBS, I.
700 1 $aBOEGH, E.
700 1 $aGIUSTARINI, L.
700 1 $aSCHLERF, M.
700 1 $aDREWRY, D. T.
700 1 $aHOFFMANN, L.
700 1 $aRANDOW, C. von
700 1 $aKRUIJT, B.
700 1 $aARAUJO, A.
700 1 $aSALESKA, S.
700 1 $aEHLERINGER, J. R.
700 1 $aDOMINGUES, T. F.
700 1 $aOMETTO, J. P. H. B.
700 1 $aNOBRE, A. D.
700 1 $aMORAES, O. L. L. de
700 1 $aHAYEK, M.
700 1 $aMUNGER, J. W.
700 1 $aWOFSY, S. C.
773 $tHydrology and Earth System Science Discussions, 27 Jan. 2016.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
14/02/2014 |
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Data da última atualização: |
20/09/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
ARVOR, D.; DUBREUIL, V.; RONCHAIL, J.; SIMÕES, M.; FUNATSUF, B. M. |
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Afiliação: |
DAMIEN ARVOR; VINCENT DUBREUIL; JOSYANE RONCHAIL; MARGARETH GONCALVES SIMOES, CNPS; BEATRIZ M. FUNATSUF. |
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Título: |
Spatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil). |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
International Journal of Climatology, v. 34, n. 8, p. 2622-2633, Jun. 2014. |
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DOI: |
https://doi.org/10.1002/joc.3863 |
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Idioma: |
Inglês |
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Conteúdo: |
Assessing the impact/adaptation of human activities on/to climate change is a key issue, especially in the tropics that concentrate major anthropogenic dynamics such as deforestation and nearly two-thirds of the planetary rainfall. However, this task is often made tough because human activities such as agricultural dynamics are usually analysed at local or regional scale whereas climate related studies are led at large to global scales due to a lack of reliable data, especially in the tropics. In this article we argue that the increased spatial resolution of remote sensing-based rainfall estimates enables assessing the spatiotemporal variability of rainfall regimes at regional and local scales, thus allowing fine analysis of the interactions with human activities. We processed Tropical Rainfall Measuring Mission (TRMM) 3B42 daily rainfall estimates over the state of Mato Grosso (southern Brazilian Amazon) for the 1998-2012 study period in order to compute rainfall metrics such as annual rainfall and duration, onset and end dates of the rainy season based on the Anomalous Accumulation methodology (at a 0.25 degrees spatial resolution). We then crossed these metrics with agricultural maps (produced at a 250m spatial resolution) and proved that the adoption of intensive agricultural practices such as double cropping systems is partly the result of a strategy to adapt practices to local climatic conditions. Finally, we discuss how such results raise important issues regarding the sustainability of the agricultural development model in the Southern Amazon. MenosAssessing the impact/adaptation of human activities on/to climate change is a key issue, especially in the tropics that concentrate major anthropogenic dynamics such as deforestation and nearly two-thirds of the planetary rainfall. However, this task is often made tough because human activities such as agricultural dynamics are usually analysed at local or regional scale whereas climate related studies are led at large to global scales due to a lack of reliable data, especially in the tropics. In this article we argue that the increased spatial resolution of remote sensing-based rainfall estimates enables assessing the spatiotemporal variability of rainfall regimes at regional and local scales, thus allowing fine analysis of the interactions with human activities. We processed Tropical Rainfall Measuring Mission (TRMM) 3B42 daily rainfall estimates over the state of Mato Grosso (southern Brazilian Amazon) for the 1998-2012 study period in order to compute rainfall metrics such as annual rainfall and duration, onset and end dates of the rainy season based on the Anomalous Accumulation methodology (at a 0.25 degrees spatial resolution). We then crossed these metrics with agricultural maps (produced at a 250m spatial resolution) and proved that the adoption of intensive agricultural practices such as double cropping systems is partly the result of a strategy to adapt practices to local climatic conditions. Finally, we discuss how such results raise important issues regarding th... Mostrar Tudo |
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Palavras-Chave: |
Agricultural practices; Rainy season; Spatiotemporal variability; TRMM 3B42. |
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Thesaurus NAL: |
Amazonia. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02347naa a2200241 a 4500
001 1979980
005 2021-09-20
008 2014 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1002/joc.3863$2DOI
100 1 $aARVOR, D.
245 $aSpatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil).$h[electronic resource]
260 $c2014
520 $aAssessing the impact/adaptation of human activities on/to climate change is a key issue, especially in the tropics that concentrate major anthropogenic dynamics such as deforestation and nearly two-thirds of the planetary rainfall. However, this task is often made tough because human activities such as agricultural dynamics are usually analysed at local or regional scale whereas climate related studies are led at large to global scales due to a lack of reliable data, especially in the tropics. In this article we argue that the increased spatial resolution of remote sensing-based rainfall estimates enables assessing the spatiotemporal variability of rainfall regimes at regional and local scales, thus allowing fine analysis of the interactions with human activities. We processed Tropical Rainfall Measuring Mission (TRMM) 3B42 daily rainfall estimates over the state of Mato Grosso (southern Brazilian Amazon) for the 1998-2012 study period in order to compute rainfall metrics such as annual rainfall and duration, onset and end dates of the rainy season based on the Anomalous Accumulation methodology (at a 0.25 degrees spatial resolution). We then crossed these metrics with agricultural maps (produced at a 250m spatial resolution) and proved that the adoption of intensive agricultural practices such as double cropping systems is partly the result of a strategy to adapt practices to local climatic conditions. Finally, we discuss how such results raise important issues regarding the sustainability of the agricultural development model in the Southern Amazon.
650 $aAmazonia
653 $aAgricultural practices
653 $aRainy season
653 $aSpatiotemporal variability
653 $aTRMM 3B42
700 1 $aDUBREUIL, V.
700 1 $aRONCHAIL, J.
700 1 $aSIMÕES, M.
700 1 $aFUNATSUF, B. M.
773 $tInternational Journal of Climatology$gv. 34, n. 8, p. 2622-2633, Jun. 2014.
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