Guangqian Wang
Tsinghua University
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Featured researches published by Guangqian Wang.
Geophysical Research Letters | 2014
Sha Zhou; Bofu Yu; Yuefei Huang; Guangqian Wang
Water use efficiency is a critical index for describing carbon-water coupling in terrestrial ecosystems. However, the nonlinear effect of vapor pressure deficit (VPD) on carbon-water coupling has not been fully considered. To improve the relationship between gross primary production (GPP) and evapotranspiration (ET) at the subdaily time scale, we propose a new underlying water use efficiency (uWUEu2009=u2009GPPu2009·u2009VPD0.5/ET) and a hysteresis model to minimize time lags among GPP, ET, and VPD. Half-hourly data were used to validate uWUE for seven vegetation types from 42 AmeriFlux sites. Correlation analysis shows that the GPPu2009·u2009VPD0.5 and ET relationship (ru2009=u20090.844) is better than that between GPPu2009·u2009VPD and ET (ru2009=u20090.802). The hysteresis model supports the GPPu2009·u2009VPD0.5 and ET relationship. As uWUE is related to CO2 concentration, its use can improve estimates of GPP and ET and help understand the effect of CO2 fertilization on carbon storage and water loss.
Geophysical Research Letters | 2015
Sha Zhou; Bofu Yu; Yuefei Huang; Guangqian Wang
The Budyko hypothesis states that the ratio of the actual evapotranspiration over precipitation (E/P) is fundamentally related to the ratio of the potential evapotranspiration over precipitation (E0/P). A number of Budyko functions have been proposed to describe such a relationship between E0/P and E/P. There is, however, no simple method to generate Budyko functions that meet the water and energy constraints. This study showed analytically that for any Budyko function, the sum of elasticity of evapotranspiration with respect to potential evapotranspiration and that with respect to precipitation is equal to unity. This complementary relationship for sensitivity of evapotranspiration has important implications for evaluating hydrologic impact of change in climate and/or catchment characteristics. More importantly, this study found a function that is monotonically increasing with simple limiting properties. This function can be used to generate numerous valid Budyko functions and can also be used to test the validity of the existing Budyko functions.
Journal of Geophysical Research | 2015
Sha Zhou; Bofu Yu; Yuefei Huang; Guangqian Wang
Water use efficiency (WUE) is a crucial parameter to describe the interrelationship between gross primary production (GPP) and evapotranspiration (ET). Incorporating the nonlinear effect of vapor pressure deficit (VPD), underlying WUE (uWUEu2009=u2009GPPu2009·u2009VPD0.5/ET) is better than inherent WUE (IWUEu2009=u2009GPPu2009·u2009VPD/ET) at the half-hourly time scale. However, appropriateness of uWUE has not yet been evaluated at the daily time scale. To determine whether uWUE is better than IWUE, daily data for seven vegetation types from 34 AmeriFlux sites were used to validate uWUE at the daily time scale. First, daily mean VPD was shown to be a good substitute for the effective VPD that was required to preserve daily GPP totals. Second, an optimal exponent, k*, corresponding to the best linear relationship between GPPu2009·u2009VPDk* and ET, was about 0.55 both at half-hourly and daily time scales. Third, correlation coefficient between GPPu2009·u2009VPDk and ET showed that uWUE (ku2009=u20090.5 and ru2009=u20090.85) was a better approximation of the optimal WUE (ku2009=u2009k* and ru2009=u20090.86) than IWUE (ku2009=u20091 and ru2009=u20090.81) at the daily scale. Finally, when yearly uWUE was used to predict daily GPP from daily ET and mean VPD, uWUE worked considerably better than IWUE. Comparing observed and predicted daily GPP, the average correlation coefficient and Nash-Sutcliffe coefficient of efficiency were 0.81 and 0.59, respectively, using yearly uWUE, and only 0.59 and −0.83 using yearly IWUE. As a nearly optimal WUE, uWUE consistently outperformed IWUE and could be used to evaluate the effects of global warming and elevated atmosphere CO2 on carbon assimilation and evapotranspiration.
Global Biogeochemical Cycles | 2017
Sha Zhou; Bofu Yu; Christopher R. Schwalm; Philippe Ciais; Yao Zhang; Joshua B. Fisher; Anna M. Michalak; Weile Wang; Benjamin Poulter; Deborah N. Huntzinger; Shuli Niu; Jiafu Mao; Atul K. Jain; Daniel M. Ricciuto; Xiaoying Shi; Akihiko Ito; Yaxing Wei; Yuefei Huang; Guangqian Wang
Author(s): Zhou, S; Yu, B; Schwalm, CR; Ciais, P; Zhang, Y; Fisher, JB; Michalak, AM; Wang, W; Poulter, B; Huntzinger, DN; Niu, S; Mao, J; Jain, A; Ricciuto, DM; Shi, X; Ito, A; Wei, Y; Huang, Y; Wang, G | Abstract: ©2017. American Geophysical Union. All Rights Reserved. Water use efficiency (WUE), defined as the ratio of gross primary productivity and evapotranspiration at the ecosystem scale, is a critical variable linking the carbon and water cycles. Incorporating a dependency on vapor pressure deficit, apparent underlying WUE (uWUE) provides a better indicator of how terrestrial ecosystems respond to environmental changes than other WUE formulations. Here we used 20th century simulations from four terrestrial biosphere models to develop a novel variance decomposition method. With this method, we attributed variations in apparent uWUE to both the trend and interannual variation of environmental drivers. The secular increase in atmospheric CO2 explained a clear majority of total variation (66 ± 32%: mean ± one standard deviation), followed by positive trends in nitrogen deposition and climate, as well as a negative trend in land use change. In contrast, interannual variation was mostly driven by interannual climate variability. To analyze the mechanism of the CO2 effect, we partitioned the apparent uWUE into the transpiration ratio (transpiration over evapotranspiration) and potential uWUE. The relative increase in potential uWUE parallels that of CO2, but this direct CO2 effect was offset by 20 ± 4% by changes in ecosystem structure, that is, leaf area index for different vegetation types. However, the decrease in transpiration due to stomatal closure with rising CO2 was reduced by 84% by an increase in leaf area index, resulting in small changes in the transpiration ratio. CO2 concentration thus plays a dominant role in driving apparent uWUE variations over time, but its role differs for the two constituent components: potential uWUE and transpiration.
Journal of Climate | 2018
Sha Zhou; J. K. Liang; Xingjie Luc; Qianyu Lid; Lifen Jiang; Yao Zhang; Christopher R. Schwalm; Joshua B. Fisher; Jerry Tjiputra; Stephen Sitch; Anders Ahlström; Deborah N. Huntzinger; Yuefei Huang; Guangqian Wang; Yiqi Luo
AbstractTerrestrial carbon cycle models have incorporated increasingly more processes as a means to achieve more-realistic representations of ecosystem carbon cycling. Despite this, there are large across-model variations in the simulation and projection of carbon cycling. Several model intercomparison projects (MIPs), for example, the fifth phase of the Coupled Model Intercomparison Project (CMIP5) (historical simulations), Trends in Net Land–Atmosphere Carbon Exchange (TRENDY), and Multiscale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP), have sought to understand intermodel differences. In this study, the authors developed a suite of new techniques to conduct post-MIP analysis to gain insights into uncertainty sources across 25 models in the three MIPs. First, terrestrial carbon storage dynamics were characterized by a three-dimensional (3D) model output space with coordinates of carbon residence time, net primary productivity (NPP), and carbon storage potential. The latter represent...
Ecological Engineering | 2015
Sha Zhou; Yuefei Huang; Bofu Yu; Guangqian Wang
Journal of Environmental Informatics | 2009
Tiejian Li; Guangqian Wang; Y. F. Huang; X. D. Fu
Journal of Environmental Informatics | 2012
L He; Guangqian Wang; C Zhang
Agricultural and Forest Meteorology | 2016
Sha Zhou; Yao Zhang; Kelly K. Caylor; Yiqi Luo; Xiangming Xiao; Philippe Ciais; Yuefei Huang; Guangqian Wang
Hydrology and Earth System Sciences | 2015
Sha Zhou; Yuefei Huang; Yongping Wei; Guangqian Wang