Influence of water use efficiency parameterizations on flux variance similarity-based partitioning of evapotranspiration
Influence of water use efficiency parameterizations on flux variance similarity-based partitioning of evapotranspiration
复制标题
水分利用效率参数化对基于通量方差相似性的蒸散发划分的影响
DOI:
10.1016/j.agrformet.2022.109254
复制
发表时间:
2023
影响因子:
6.2
通讯作者:
Gunter, Stacey A.
中科院分区:
文献类型:
--
作者:
Wagle, Pradeep;Raghav, Pushpendra;Kumar, Mukesh;Gunter, Stacey A.
Despite the high sensitivity of water use efficiency (WUE) estimates to intracellular carbon dioxide concentrations (ci) in the Flux Variance Similarity (FVS)-based partitioning method, a systematic analysis of the sensitivity of WUE to ciparameterizations has largely been lacking. Using high-frequency (10 Hz) eddy covariance data for two crop sites: wheat (Triticum aestivumL.) and canola (Brassica napusL.), we performed a sensitivity analysis of four ciparameterizations (constant civalue, constant ci/caratio, and ci/caas square root and linear functions of vapor pressure deficit) and compared them with the optimized WUE approach with no adjustable parameter. The results illustrated the role of ciparameterizations on the evapotranspiration (ET) partitioning results (i.e., transpiration (T) to ET ratios). Notably, constant civalue and constant ci/caratio parameterizations for the largest considered civalues (commonly used default values in most previous studies) showed comparable T:ET with the optimized WUE approach. Additionally, all these three models produced reduced T:ET in wet periods and increased T:ET in dry periods. In contrast, square root and linear models were unable to accurately capture expected trends of T:ET for wet and dry periods, and also showed large discrepancies when compared with the optimal WUE approach. The results suggest that optimal parameterizations of cishould be derived in constant civalue and constant ci/caratio methods to accurately capture temporal variations of WUE and T:ET. The results also indicate the potential of the optimum model for inter-model comparison, especially in sensitivity analysis, for FVS partitioning in C3species. This study provides novel insights into the implications of the choice of parameterization on the WUE estimations and partitioning outcomes.
影响因子:
2.8
作者:
Anderson, Ray G.;Zhang, Xudong;Skaggs, Todd H.
通讯作者:
Skaggs, Todd H.
影响因子:
6.2
作者:
A. Klosterhalfen;A. Moene;Marius Schmidt;Todd M. Scanlon;H. Vereecken;Alexander Graf
通讯作者:
Alexander Graf
影响因子:
4.9
作者:
P. Stoy;T. El-Madany;Joshua B. Fisher;P. Gentine;T. Gerken;Stephen P. Good;A. Klosterhalfen;
通讯作者:
P. Stoy;T. El-Madany;Joshua B. Fisher;P. Gentine;T. Gerken;Stephen P. Good;A. Klosterhalfen;