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

Kaniska Mallick, Ivonne Trebs, Eva Boegh, 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 Luiz Leal De Moraes, Matthew Hayek, J. William Munger, Steven C. Wofsy

Research output: Contribution to journalArticle

17 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)4237-4264
Number of pages28
JournalHydrology and Earth System Sciences
Volume20
Issue number10
DOIs
StatePublished - Oct 19 2016

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transpiration
land surface
evaporation
canopy
pasture
basin
dry season
atmosphere
parameterization
soil moisture
temperature
analytical framework
net radiation
eddy covariance
latent heat flux
biome
rooting
hysteresis
vapor pressure
water availability

ASJC Scopus subject areas

  • Water Science and Technology
  • Earth and Planetary Sciences (miscellaneous)

Cite this

Mallick, K., Trebs, I., Boegh, E., Giustarini, L., Schlerf, M., Drewry, D. T., ... Wofsy, S. C. (2016). Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. Hydrology and Earth System Sciences, 20(10), 4237-4264. https://doi.org/10.5194/hess-20-4237-2016

Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. / Mallick, Kaniska; Trebs, Ivonne; Boegh, 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.; Luiz Leal De Moraes, Osvaldo; Hayek, Matthew; William Munger, J.; Wofsy, Steven C.

In: Hydrology and Earth System Sciences, Vol. 20, No. 10, 19.10.2016, p. 4237-4264.

Research output: Contribution to journalArticle

Mallick, K, Trebs, I, Boegh, 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, Luiz Leal De Moraes, O, Hayek, M, William Munger, J & Wofsy, SC 2016, 'Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin', Hydrology and Earth System Sciences, vol. 20, no. 10, pp. 4237-4264. https://doi.org/10.5194/hess-20-4237-2016
Mallick, Kaniska ; Trebs, Ivonne ; Boegh, 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. ; Luiz Leal De Moraes, Osvaldo ; Hayek, Matthew ; William Munger, J. ; Wofsy, Steven C. / Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin. In: Hydrology and Earth System Sciences. 2016 ; Vol. 20, No. 10. pp. 4237-4264.
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AU - Mallick, Kaniska

AU - Trebs, Ivonne

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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 - Luiz Leal De Moraes, Osvaldo

AU - Hayek, Matthew

AU - William Munger, J.

AU - Wofsy, Steven C.

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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.

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