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Disentangling Climate and LAI Effects on Seasonal Variability in Water Use Efficiency Across Terrestrial Ecosystems in China
Li, Yue1,2; Shi, Hao3; Zhou, Lei4; Eamus, Derek5,6; Huete, Alfredo5; Li, Longhui5; Cleverly, James5,6; Hu, Zhongmin7; Harahap, Mahrita5; Yu, Qiang3,5; He, Liang8; Wang, Shaoqiang1,2
2018-08-01
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
ISSN2169-8953
Volume123Issue:8Pages:2429-2443
Corresponding AuthorShi, Hao(yuren2006@gmail.com) ; Wang, Shaoqiang(sqwang@igsnrr.ac.cn)
AbstractWater 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.
DOI10.1029/2018JG004482
WOS KeywordLEAF-AREA INDEX ; HIGHER STOMATAL CONDUCTANCE ; VAPOR-PRESSURE DEFICIT ; CHANGE-TYPE DROUGHT ; EDDY COVARIANCE ; TREE MORTALITY ; CARBON-DIOXIDE ; RAIN-FOREST ; BIOCHEMICAL LIMITATIONS ; GRASSLAND ECOSYSTEMS
Indexed BySCI
Language英语
Funding ProjectMinistry of Science and Technology of China[2016YFA0600202] ; Northwest A & F University of China[A314021403-C4] ; National Natural Science Foundation of China[41571192] ; National Natural Science Foundation of China[41401110]
Funding OrganizationMinistry of Science and Technology of China ; Northwest A & F University of China ; National Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology ; Geology
WOS SubjectEnvironmental Sciences ; Geosciences, Multidisciplinary
WOS IDWOS:000445731100010
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52872
Collection中国科学院地理科学与资源研究所
Corresponding AuthorShi, Hao; Wang, Shaoqiang
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
3.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling, Shaanxi, Peoples R China
4.Zhejiang Normal Univ, Coll Geog & Environm Sci, Jinhua, Peoples R China
5.Univ Technol Sydney, Sch Life Sci, Sydney, NSW, Australia
6.Univ Technol Sydney, Terr Ecosyst Res Network, Australian Supersite Network, Sydney, NSW, Australia
7.South China Normal Univ, Sch Geog, Guangzhou, Guangdong, Peoples R China
8.China Meteorol Adm, Agrometeorol Ctr, Natl Meteorol Ctr, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Li, Yue,Shi, Hao,Zhou, Lei,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,2018,123(8):2429-2443.
APA Li, Yue.,Shi, Hao.,Zhou, Lei.,Eamus, Derek.,Huete, Alfredo.,...&Wang, Shaoqiang.(2018).Disentangling Climate and LAI Effects on Seasonal Variability in Water Use Efficiency Across Terrestrial Ecosystems in China.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,123(8),2429-2443.
MLA Li, Yue,et al."Disentangling Climate and LAI Effects on Seasonal Variability in Water Use Efficiency Across Terrestrial Ecosystems in China".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 123.8(2018):2429-2443.
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