中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Dryness controls temperature-optimized gross primary productivity across vegetation types

文献类型：期刊论文

作者Wang, Bingxue7; Chen, Weinan6,7; Dai, Junhu1,5,6; Li, Zhaolei7; Fu, Zheng4; Sarmah, Sangeeta7; Luo, Yiqi2,3; Niu, Shuli6,7
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.CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan
2.No Arizona Univ, Dept Biol Sci, Flagstaff, AZ 86011 USA
3.No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA
4.Univ Paris Saclay, Lab Sci Climat & Environm, LSCE, IPSL,CEA CNRS UVSQ, F-91191 Gif Sur Yvette, France
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
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

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。