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Dryness controls temperature-optimized gross primary productivity across vegetation types

文献类型：期刊论文

作者Wang, Bingxue1; Chen, Weinan1,2; Dai, Junhu2,3,4; Li, Zhaolei1; Fu, Zheng5; Sarmah, Sangeeta1; Luo, Yiqi6,7; Niu, Shuli1,2
刊名AGRICULTURAL AND FOREST METEOROLOGY
出版日期2022-08-15
卷号323页码:9
关键词Peak gross primary productivity Dryness index Dryness conditions Water-limitation Energy-limitation Soil moisture
ISSN号0168-1923
DOI10.1016/j.agrformet.2022.109073
通讯作者Niu, Shuli(sniu@igsnrr.ac.cn)
英文摘要Temperature response of gross primary productivity (GPP) is a well-known property of ecosystem, but GPP at the optimum temperature (GPP_T-opt) has not been fully discussed. Our understanding of how GPP_T(opt )responds to warming and water availability is highly limited. In this study, we analyzed data at 326 globally distributed eddy covariance sites (79(o)N-37(o)S), to identify controlling factors of GPP_Topt. Although GPP_Topt was significantly influenced by soil moisture, global solar radiation, mean annual temperature, and vapor pressure deficit in a non-linear pattern (R-2 = 0.47), the direction and magnitude of these climate variables' effects on GPP_T-opt depend on the dryness index (DI), a ratio of potential evapotranspiration to precipitation. The spatial pattern showed that soil moisture did not affect GPP_T(opt )across energy-limited sites with DI < 1 while dominated GPP_T-opt across water-limited sites with DI > 1. The temporal pattern showed that GPP_T-opt was lowered by warming or low precipitation in water-limited sites while energy-limited sites tended to maintain a stable GPP_T-opt regardless of changes in air temperature. Vegetation types in humid climates tended to have higher GPP_T(opt )and were more likely to benefit from a warmer climate since it was not restricted by water conditions. This study highlights that the response of GPP_T-opt to global warming depends on the dryness conditions, which explains the nonlinear control of water and temperature over GPP_T-opt. Our finding is essential to realistic prediction of terrestrial carbon uptake under future climate and vegetation conditions.
WOS关键词INTERANNUAL VARIABILITY ; PLANT PHENOLOGY ; CARBON-DIOXIDE ; ACCLIMATION ; ECOSYSTEMS ; BALANCE ; COMMON ; WORLD ; CHINA
资助项目National Key Technology R & D Program of China[2018YFA 0606102] ; National Natural Science Foundation of China[31988102] ; Chinese Academy of Sciences[131A11KYSB20180010] ; USCCC
WOS研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000861635300001
出版者ELSEVIER
资助机构National Key Technology R & D Program of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; USCCC
源URL[http://ir.igsnrr.ac.cn/handle/311030/184996]  
专题中国科学院地理科学与资源研究所
通讯作者Niu, Shuli
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
4.CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan
5.Univ Paris Saclay, Lab Sci Climat & Environm, LSCE, IPSL,CEA CNRS UVSQ, F-91191 Gif Sur Yvette, France
6.No Arizona Univ, Dept Biol Sci, Flagstaff, AZ 86011 USA
7.No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA
推荐引用方式
GB/T 7714		 Wang, Bingxue,Chen, Weinan,Dai, Junhu,et al. Dryness controls temperature-optimized gross primary productivity across vegetation types[J]. AGRICULTURAL AND FOREST METEOROLOGY,2022,323:9.
APA Wang, Bingxue.,Chen, Weinan.,Dai, Junhu.,Li, Zhaolei.,Fu, Zheng.,...&Niu, Shuli.(2022).Dryness controls temperature-optimized gross primary productivity across vegetation types.AGRICULTURAL AND FOREST METEOROLOGY,323,9.
MLA Wang, Bingxue,et al."Dryness controls temperature-optimized gross primary productivity across vegetation types".AGRICULTURAL AND FOREST METEOROLOGY 323(2022):9.

入库方式： OAI收割

来源：地理科学与资源研究所

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