TY - JOUR
T1 - Mechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and Cerrado
AU - Christoffersen, Bradley O.
AU - Restrepo-Coupe, Natalia
AU - Arain, M. Altaf
AU - Baker, Ian T.
AU - Cestaro, Bruno P.
AU - Ciais, Phillippe
AU - Fisher, Joshua B.
AU - Galbraith, David
AU - Guan, Xiaodan
AU - Gulden, Lindsey
AU - van den Hurk, Bart
AU - Ichii, Kazuhito
AU - Imbuzeiro, Hewlley
AU - Jain, Atul
AU - Levine, Naomi
AU - Miguez-Macho, Gonzalo
AU - Poulter, Ben
AU - Roberti, Debora R.
AU - Sakaguchi, Koichi
AU - Sahoo, Alok
AU - Schaefer, Kevin
AU - Shi, Mingjie
AU - Verbeeck, Hans
AU - Yang, Zong Liang
AU - Araújo, Alessandro C.
AU - Kruijt, Bart
AU - Manzi, Antonio O.
AU - da Rocha, Humberto R.
AU - von Randow, Celso
AU - Muza, Michel N.
AU - Borak, Jordan
AU - Costa, Marcos H.
AU - Gonçalves de Gonçalves, Luis Gustavo
AU - Zeng, Xubin
AU - Saleska, Scott R.
N1 - Funding Information:
This research was funded by the National Aeronautics and Space Administration (NASA) (LBA investigation CD-32 and the LBA-DMIP project, award #NNX09AL52G), the National Science Foundation (Amazon-PIRE, NSF award #OISE-0730305), and the Gordon and Betty Moore Foundation's Andes-Amazon Initiative . HRdR acknowledges FAPESP (08-581203) for aiding field data collection. Soil moisture data for the RJA field site were collected under the ABRACOS project and made available by the UK Institute of Hydrology and the Instituto Nacional de Pesquisas Espaciais (Brazil). ABRACOS was a collaboration between the Agencia Brasileira de Cooperação and the UK Overseas Development Administration. B.O.C. acknowledges support from a Graduate Research Environmental Fellowship (GREF)-U.S. DOE Global Change Education Program , as well as an NSF Amazon-PIRE fellowship. J.B.F. contributed to this paper from the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. We thank Reto Stoeckli for initial generation of gap-filled meteorological driver data, and Enrique Rosero for discussions helping to frame some analyses for this paper. We are indebted to both LBA and ABRACOS projects, and their field technicians, without whose efforts to establish and preserve the quality of datasets used here, this paper would not have been possible. We are grateful to two anonymous reviewers whose comments greatly improved the clarity of this paper.
PY - 2014/6/15
Y1 - 2014/6/15
N2 - Evapotranspiration (E) in the Amazon connects forest function and regional climate via its role in precipitation recycling However, the mechanisms regulating water supply to vegetation and its demand for water remain poorly understood, especially during periods of seasonal water deficits In this study, we address two main questions: First, how do mechanisms of water supply (indicated by rooting depth and groundwater) and vegetation water demand (indicated by stomatal conductance and intrinsic water use efficiency) control evapotranspiration (E) along broad gradients of climate and vegetation from equatorial Amazonia to Cerrado, and second, how do these inferred mechanisms of supply and demand compare to those employed by a suite of ecosystem models? We used a network of eddy covariance towers in Brazil coupled with ancillary measurements to address these questions With respect to the magnitude and seasonality of E, models have much improved in equatorial tropical forests by eliminating most dry season water limitation, diverge in performance in transitional forests where seasonal water deficits are greater, and mostly capture the observed seasonal depressions in E at Cerrado However, many models depended universally on either deep roots or groundwater to mitigate dry season water deficits, the relative importance of which we found does not vary as a simple function of climate or vegetation In addition, canopy stomatal conductance (gs) regulates dry season vegetation demand for water at all except the wettest sites even as the seasonal cycle of E follows that of net radiation In contrast, some models simulated no seasonality in gs, even while matching the observed seasonal cycle of E. We suggest that canopy dynamics mediated by leaf phenology may play a significant role in such seasonality, a process poorly represented in models Model bias in gs and E, in turn, was related to biases arising from the simulated light response (gross primary productivity, GPP) or the intrinsic water use efficiency of photosynthesis (iWUE). We identified deficiencies in models which would not otherwise be apparent based on a simple comparison of simulated and observed rates of E. While some deficiencies can be remedied by parameter tuning, in most models they highlight the need for continued process development of belowground hydrology and in particular, the biological processes of root dynamics and leaf phenology, which via their controls on E, mediate vegetation-climate feedbacks in the tropics.
AB - Evapotranspiration (E) in the Amazon connects forest function and regional climate via its role in precipitation recycling However, the mechanisms regulating water supply to vegetation and its demand for water remain poorly understood, especially during periods of seasonal water deficits In this study, we address two main questions: First, how do mechanisms of water supply (indicated by rooting depth and groundwater) and vegetation water demand (indicated by stomatal conductance and intrinsic water use efficiency) control evapotranspiration (E) along broad gradients of climate and vegetation from equatorial Amazonia to Cerrado, and second, how do these inferred mechanisms of supply and demand compare to those employed by a suite of ecosystem models? We used a network of eddy covariance towers in Brazil coupled with ancillary measurements to address these questions With respect to the magnitude and seasonality of E, models have much improved in equatorial tropical forests by eliminating most dry season water limitation, diverge in performance in transitional forests where seasonal water deficits are greater, and mostly capture the observed seasonal depressions in E at Cerrado However, many models depended universally on either deep roots or groundwater to mitigate dry season water deficits, the relative importance of which we found does not vary as a simple function of climate or vegetation In addition, canopy stomatal conductance (gs) regulates dry season vegetation demand for water at all except the wettest sites even as the seasonal cycle of E follows that of net radiation In contrast, some models simulated no seasonality in gs, even while matching the observed seasonal cycle of E. We suggest that canopy dynamics mediated by leaf phenology may play a significant role in such seasonality, a process poorly represented in models Model bias in gs and E, in turn, was related to biases arising from the simulated light response (gross primary productivity, GPP) or the intrinsic water use efficiency of photosynthesis (iWUE). We identified deficiencies in models which would not otherwise be apparent based on a simple comparison of simulated and observed rates of E. While some deficiencies can be remedied by parameter tuning, in most models they highlight the need for continued process development of belowground hydrology and in particular, the biological processes of root dynamics and leaf phenology, which via their controls on E, mediate vegetation-climate feedbacks in the tropics.
KW - Canopy stomatal conductance
KW - Deep roots
KW - Evapotranspiration
KW - Groundwater
KW - Intrinsic water use efficiency
KW - Tropical forest
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U2 - 10.1016/j.agrformet.2014.02.008
DO - 10.1016/j.agrformet.2014.02.008
M3 - Article
AN - SCOPUS:84896075720
SN - 0168-1923
VL - 191
SP - 33
EP - 50
JO - Agricultural and Forest Meteorology
JF - Agricultural and Forest Meteorology
ER -