Canopy-scale biophysical controls on transpiration and evaporation in the Amazon Basin

Kaniska Mallick, Ivonne Trebs, Eva Bøgh, Laura Giustarini, Martin Schlerf, Darren T. Drewry, Lucien Hoffmann, Celso von Randow, Bart Kruijt, Alessandro Araùjo, Scott Saleska, James R. Ehleringer, Tomas F. Domingues, Jean Pierre H.B. Ometto, Antonio D. Nobre, Osvaldo Luis Leal de Moraes, Matthew Hayek, J. William Munger, Steven C. Wofsy

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

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.
OriginalsprogEngelsk
TidsskriftHydrology and Earth System Sciences
Vol/bind2016
Udgave nummer20
Sider (fra-til)4237-4264
Antal sider27
ISSN1027-5606
DOI
StatusUdgivet - 2016

Citer dette

Mallick, K., Trebs, I., Bøgh, E., Giustarini, L., Schlerf, M., Drewry, D. T., ... Wofsy, S. C. (2016). Canopy-scale biophysical controls on transpiration and evaporation in the Amazon Basin. Hydrology and Earth System Sciences, 2016(20), 4237-4264. https://doi.org/10.5194/hess-2015-552
Mallick, Kaniska ; Trebs, Ivonne ; Bøgh, Eva ; Giustarini, Laura ; Schlerf, Martin ; Drewry, Darren T. ; Hoffmann, Lucien ; von Randow, Celso ; Kruijt, Bart ; Araùjo, Alessandro ; Saleska, Scott ; Ehleringer, James R. ; Domingues, Tomas F. ; Ometto, Jean Pierre H.B. ; Nobre, Antonio D. ; de Moraes, Osvaldo Luis Leal ; Hayek, Matthew ; Munger, J. William ; Wofsy, Steven C. / Canopy-scale biophysical controls on transpiration and evaporation in the Amazon Basin. I: Hydrology and Earth System Sciences. 2016 ; Bind 2016, Nr. 20. s. 4237-4264.
@article{2e094133b34e4e2eba44791fb4d702cd,
title = "Canopy-scale biophysical controls on transpiration and evaporation in the Amazon Basin",
abstract = "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.",
author = "Kaniska Mallick and Ivonne Trebs and Eva B{\o}gh and Laura Giustarini and Martin Schlerf and Drewry, {Darren T.} and Lucien Hoffmann and {von Randow}, Celso and Bart Kruijt and Alessandro Ara{\`u}jo and Scott Saleska and Ehleringer, {James R.} and Domingues, {Tomas F.} and Ometto, {Jean Pierre H.B.} and Nobre, {Antonio D.} and {de Moraes}, {Osvaldo Luis Leal} and Matthew Hayek and Munger, {J. William} and Wofsy, {Steven C.}",
year = "2016",
doi = "10.5194/hess-2015-552",
language = "English",
volume = "2016",
pages = "4237--4264",
journal = "Hydrology and Earth System Sciences",
issn = "1027-5606",
publisher = "Copernicus GmbH",
number = "20",

}

Mallick, K, Trebs, I, Bøgh, E, Giustarini, L, Schlerf, M, Drewry, DT, Hoffmann, L, von Randow, C, Kruijt, B, Araùjo, A, Saleska, S, Ehleringer, JR, Domingues, TF, Ometto, JPHB, Nobre, AD, de Moraes, OLL, Hayek, M, Munger, JW & Wofsy, SC 2016, 'Canopy-scale biophysical controls on transpiration and evaporation in the Amazon Basin', Hydrology and Earth System Sciences, bind 2016, nr. 20, s. 4237-4264. https://doi.org/10.5194/hess-2015-552

Canopy-scale biophysical controls on transpiration and evaporation in the Amazon Basin. / Mallick, Kaniska; Trebs, Ivonne; Bøgh, Eva; Giustarini, Laura; Schlerf, Martin; Drewry, Darren T.; Hoffmann, Lucien; von Randow, Celso; Kruijt, Bart; Araùjo, Alessandro; Saleska, Scott; Ehleringer, James R.; Domingues, Tomas F.; Ometto, Jean Pierre H.B.; Nobre, Antonio D.; de Moraes, Osvaldo Luis Leal; Hayek, Matthew; Munger, J. William; Wofsy, Steven C.

I: Hydrology and Earth System Sciences, Bind 2016, Nr. 20, 2016, s. 4237-4264.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Canopy-scale biophysical controls on transpiration and evaporation in the Amazon Basin

AU - Mallick, Kaniska

AU - Trebs, Ivonne

AU - Bøgh, Eva

AU - Giustarini, Laura

AU - Schlerf, Martin

AU - Drewry, Darren T.

AU - Hoffmann, Lucien

AU - von Randow, Celso

AU - Kruijt, Bart

AU - Araùjo, Alessandro

AU - Saleska, Scott

AU - Ehleringer, James R.

AU - Domingues, Tomas F.

AU - Ometto, Jean Pierre H.B.

AU - Nobre, Antonio D.

AU - de Moraes, Osvaldo Luis Leal

AU - Hayek, Matthew

AU - Munger, J. William

AU - Wofsy, Steven C.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

U2 - 10.5194/hess-2015-552

DO - 10.5194/hess-2015-552

M3 - Journal article

VL - 2016

SP - 4237

EP - 4264

JO - Hydrology and Earth System Sciences

JF - Hydrology and Earth System Sciences

SN - 1027-5606

IS - 20

ER -