4.5 Article

Daily underlying water use efficiency for AmeriFlux sites

期刊

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/2015JG002947

关键词

water use efficiency; optimal; underlying; daily time scale; AmeriFlux; GPP prediction

资金

  1. U.S. Department of Energy's Office of Science
  2. National Natural Science Foundation of China [91125018]
  3. National Key Science and Technology Project Fund from the Ministry of Science and Technology (MOST) [2013BAB05B03]
  4. Research and Development Special Fund for Public Welfare Industry of the Ministry of Water Research in China [201301081]

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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 (uWUE=GPP.VPD0.5/ET) is better than inherent WUE (IWUE=GPP.VPD/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 GPP.VPDk* and ET, was about 0.55 both at half-hourly and daily time scales. Third, correlation coefficient between GPP.VPDk and ET showed that uWUE (k=0.5 and r=0.85) was a better approximation of the optimal WUE (k=k* and r=0.86) than IWUE (k=1 and r=0.81) 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.

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