1. Quantifying plant transpiration and canopy conductance using eddy flux data: An underlying water use efficiency method
- Author
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Xiuchen Wu, Xiaochen Wang, Shaomin Liu, Pei Wang, Xiao-Yan Li, Fangzhong Shi, Kailiang Yu, Yinan Wu, Cicheng Zhang, Mengjie Wang, Yang Wang, Yan Bai, Sha Zhou, and Xiaofan Yang
- Subjects
0106 biological sciences ,Atmospheric Science ,Global and Planetary Change ,010504 meteorology & atmospheric sciences ,Eddy covariance ,Growing season ,Conductance ,Forestry ,Atmospheric sciences ,01 natural sciences ,Canopy conductance ,Evapotranspiration ,Lysimeter ,Environmental science ,Water-use efficiency ,Agronomy and Crop Science ,010606 plant biology & botany ,0105 earth and related environmental sciences ,Transpiration - Abstract
Canopy conductance (Gc) largely regulates carbon/water cycling and land–atmosphere interactions, but quantifying Gc using eddy flux data is limited by the difficulty of partitioning plant transpiration (T) and surface evaporation (E). We introduced an underlying water use efficiency (uWUE) method to partition evapotranspiration (ET) in an oasis maize ecosystem, and cross–compared with the Shuttleworth and Wallace (SW) model, the lysimeter and isotope measurements. We then estimated surface conductance (Gs) by ET and Gc by T partitioned using the uWUE method, followed by a performance evaluation on the Jarvis model parameterized with both Gs and Gc. The results showed that T/ET estimated by the uWUE method was close to the isotope method in the peak growing season of 2012, it showed similar seasonal variations with the lysimeter/eddy covariance method and the SW model throughout this growing season. Daily T partitioned by the uWUE method was in good agreement with the SW model from 2012 to 2015 (r2 = 0.91). Additionally, Gc had more significant seasonal variations than Gs. The Jarvis model parameterized with Gc exhibited superior performance than those with Gs. Our study suggests that the uWUE method can exclude influences of nonstomatal conductances, and will have great potential to provide more reasonable parameterization for simulation of plant stomata.
- Published
- 2019
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