Evapotranspiration and Its Partitioning in Alpine Meadow of Three-River Source Region on the Qinghai-Tibetan Plateau

Water

Lifeng Zhang¹  Song Gu¹  Zhiguang Chen¹  Yanhong Tang²  Xiang Zhang³  Liang Zhao⁴  Qi Li⁴  Dongdong Chen⁴ 

[1] College of Life Sciences, NanKai University, 94 Weijin Road, Tianjin 300071, China;College of Urban and Environmental Sciences, Peking University, 5 Yiheyuan Road, Beijing 100781, China;Institute of Life Sciences and Technology, Central South University of Forestry and Technology, 498 Shaoshannan Road, Changsha 410004, China;Northwest Institute of Plateau Biology, Chinese Academy of Sciences, 23 Xinning Road, Xining 810008, China;

关键词: evapotranspiration partitioning;    soil evaporation;    leaf area index;    Shuttleworth–Wallace model;    eddy covariance;   

DOI  :  10.3390/w13152061

来源: DOAJ

【 摘 要 】

The Qinghai-Tibetan Plateau (QTP) is generally considered to be the water source region for its surrounding lowlands. However, there have only been a few studies that have focused on quantifying alpine meadow evapotranspiration (ET) and its partitioning, which are important components of water balance. This paper used the Shuttleworth–Wallace (S–W) model to quantify soil evaporation (E) and plant transpiration (T) in a degraded alpine meadow (34°24′ N, 100°24′ E, 3963 m a.s.l) located at the QTP from September 2006 to December 2008. The results showed that the annual ET estimated by the S–W model (ET_SW) was 511.5 mm (2007) and 499.8 mm (2008), while E estimated by the model (E_SW) was 306.0 mm and 281.7 mm for 2007 and 2008, respectively, which was 49% and 29% higher than plant transpiration (T_SW). Model analysis showed that ET, E, and T were mainly dominated by net radiation (R_n), while leaf area index (LAI) and soil water content at a 5 cm depth (SWC_5cm) were the most important factors influencing ET partitioning. The study results suggest that meadow degradation may increase water loss through increasing E, and reduce the water conservation capability of the alpine meadow ecosystem.

【 授权许可】

Unknown