globalchange  > 气候减缓与适应
DOI: 10.1029/2018JG004482
Scopus记录号: 2-s2.0-85052406523
论文题名:
Disentangling Climate and LAI Effects on Seasonal Variability in Water Use Efficiency Across Terrestrial Ecosystems in China
作者: Li Y.; Shi H.; Zhou L.; Eamus D.; Huete A.; Li L.; Cleverly J.; Hu Z.; Harahap M.; Yu Q.; He L.; Wang S.
刊名: Journal of Geophysical Research: Biogeosciences
ISSN: 21698953
出版年: 2018
卷: 123, 期:8
起始页码: 2429
结束页码: 2443
语种: 英语
英文关键词: partial least squares regression ; seasonal sensitivity ; water use efficiency
英文摘要: Water use efficiency (WUE), the ratio of gross primary productivity (GPP) over evapotranspiration (ET), is a critical ecosystem function. However, it is difficult to distinguish the individual effects of climatic variables and leaf area index (LAI) on WUE, mainly due to the high collinearity among these factors. Here we proposed a partial least squares regression-based sensitivity algorithm to confront the issue, which was first verified at seven ChinaFlux sites and then applied across China. The results showed that across all biomes in China, monthly GPP (0.42–0.65), ET (0.33–0.56), and WUE (0.01–0.31) showed positive sensitivities to air temperature, particularly in croplands in northeast China and forests in southwest China. Radiation exerted stronger effects on ET (0.55–0.78) than GPP (0.19–0.65), resulting in negative responses (−0.44 to 0.04) of WUE to increased radiation among most biomes. Increasing precipitation stimulated both GPP (0.06–0.17) and ET (0.05–0.12) at the biome level, but spatially negative effects of excessive precipitation were also found in some grasslands. Both monthly GPP (−0.01 to 0.29) and ET (0.02–0.12) showed weak or moderate responses to vapor pressure deficit among biomes, resulting in weak response of monthly WUE to vapor pressure deficit (−0.04 to 0.08). LAI showed positive effects on GPP (0.18–0.60), ET (0–0.23), and WUE (0.13–0.42) across biomes, particularly on WUE in grasslands (0.42 ± 0.30). Our results highlighted the importance of LAI in influencing WUE against climatic variables. Furthermore, the sensitivity algorithm can be used to inform the design of manipulative experiments and compare with factorial simulations for discerning effects of various variables on ecosystem functions. ©2018. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113354
Appears in Collections:气候减缓与适应

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作者单位: Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A & F University, Yangling, China; College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, China; School of Life Sciences, University of Technology Sydney, Sydney, NSW, Australia; Australian Supersite Network, Terrestrial Ecosystem Research Network, University of Technology Sydney, Sydney, NSW, Australia; School of Geography, South China Normal University, Guangzhou, China; Agro-meteorological Center, National Meteorological Center of China Meteorological Administration, Beijing, China

Recommended Citation:
Li Y.,Shi H.,Zhou L.,et al. Disentangling Climate and LAI Effects on Seasonal Variability in Water Use Efficiency Across Terrestrial Ecosystems in China[J]. Journal of Geophysical Research: Biogeosciences,2018-01-01,123(8)
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