Spatial variability of water use efficiency in China's terrestrial ecosystems

被引:103
作者
Zhu, Xian-Jin [1 ]
Yu, Gui-Rui [1 ]
Wang, Qiu-Feng [1 ]
Hu, Zhong-Min [1 ]
Zheng, Han [1 ,2 ]
Li, Sheng-Gong [1 ]
Sun, Xiao-Min [1 ]
Zhang, Yi-Ping [3 ]
Yan, Jun-Hua [4 ]
Wang, Hui-Min [1 ]
Zhao, Feng-Hua [1 ]
Zhang, Jun-Hui [5 ]
Shi, Pei-Li [1 ]
Li, Ying-Nian [6 ]
Zhao, Liang [6 ]
Zhang, Fa-Wei [6 ]
Hao, Yan-Bin [2 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Synth Res Ctr Chinese Ecosystem Res Network, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Key Lab Trop Forest Ecol, Menglun 666303, Peoples R China
[4] Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Guangdong, Peoples R China
[5] Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
[6] Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810001, Peoples R China
基金
中国国家自然科学基金;
关键词
eddy covariance; water use efficiency; terrestrial ecosystems; ChinaFLUX; spatial pattern; altitude; leaf area index; vertical variation; COUPLED BIOGEOCHEMICAL CYCLES; GAP FILLING STRATEGIES; VEGETATION CONTROL; TIBETAN PLATEAU; CARBON-DIOXIDE; EASTERN CHINA; CLIMATE; PATTERNS; EVAPOTRANSPIRATION; EXCHANGE;
D O I
10.1016/j.gloplacha.2015.03.003
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Water use efficiency (WUE) reflects the coupling of carbon and water cycles. Analyzing the spatial variability of WUE can improve our understanding on the interaction between carbon and water cycles at a large scale, which also provides a basis for improving the regional carbon budget assessment. Based on,China's eddy covariance measurements, we examined the spatial variation of China's WUE and its affecting factors. WUE showed a decreasing trend with the increasing altitude, which was the result of ecosystem type distribution resulting from the climatic gradient. After fully considering the vertical variation of WUE, we found that not only mean annual air temperature (MAT), mean annual precipitation (MAP), and mean leaf area index (MLAI) but also mean annual total photosynthesis active radiation (MAR) affected the spatial variation of WUE. With the increasing MAT, MAP, and MLAI, WUE increased significantly but the increasing MAR decreased WUE. The spatial variation of WUE could be directly depicted by MLAI and altitude, the equation including which explained 65% of the spatial variation of WUE. The effects of MAT and MAP on the spatial variation of WUE may be achieved through altering MLAI, while the mechanism underlying the effect of MAR on the spatial variation of WUE was still unclear, which should be the subject of future investigations. This study reveals the vertical variation of WUE and provides a new approach to generate the spatial variation in WUE, which will benefit the regional carbon budget assessment. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:37 / 44
页数:8
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