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Global positive gross primary productivity extremes and climate contributions during 1982-2016
Wang, Miaomiao1,2; Wang, Shaoqiang2,3,4; Zhao, Jian1; Ju, Weimin5; Hao, Zhuo6
2021-06-20
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume774Pages:10
Corresponding AuthorWang, Shaoqiang(sqwang@igsnrr.ac.cn) ; Zhao, Jian(zhaojian@faas.cn)
AbstractGross primary production (GPP) quantifies the photosynthetic uptake of carbon by the terrestrial ecosystem. Positive GPP extremes represent the potential capacity of the terrestrial ecosystem to uptake carbon dioxide. Studying the positive GPP extreme is vital for the global carbon cycle and mitigation of global warming. With increasing climate extreme events, many kinds of research focus on studying negative GPP and the negative impact of climatic extremes on GPP. There is still a lack of research on positive GPP extremes and whether climatic extremes could be beneficial to global carbon uptake. In this study, we used daily Boreal Ecosystem Productivity Simulator (BEPS) to simulate GPP of the global terrestrial ecosystem during 1982-2016 and combined TRENDY models to detect positive GPP extremes and investigate the effects of climate extremes on GPP. We found the results of the TRENDY models have large differences in some areas of the globe, and the BEPS model driven by remote sensing data could be more suitable for simulating the long-term time series of global terrestrial GPP. Compared to other plant functional types, grasslands contributed the most to positive GPP extremes, accounting for approximately 41.6% (TRENDY) and 34.8% (BEPS) of the global positive GPP extremes. The probabilities of positive GPP extremes caused by positive precipitation extremes were significantly higher than those caused by temperature and radiation in most areas of the globe, indicating that sufficient precipitation (not a flood) would boost the carbon uptake ability of the global terrestrial ecosystem to form positive GPP extremes. On the contrary, the partial correlation coefficients between temperature and GPP were negative in most areas of globe, suggesting that global warming will not be conducive to carbon uptake of the terrestrial ecosystem. This study may provide new knowledge on the global positive GPP extremes. (c) 2021 Elsevier B.V. All rights reserved.
KeywordPositive GPP extremes Climate extremes Terrestrial biosphere models (TBMs) The global terrestrial ecosystem
DOI10.1016/j.scitotenv.2021.145703
WOS KeywordNET PRIMARY PRODUCTIVITY ; EUROPE-WIDE REDUCTION ; LAND-SURFACE MODEL ; INTERANNUAL VARIABILITY ; ECOSYSTEM PRODUCTIVITY ; TERRESTRIAL ECOSYSTEMS ; CARBON ; CHINA ; DROUGHT ; RESPIRATION
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFC0503803] ; National Key Research and Development Program of China[2017YFC12006012] ; project of the Central Government Guides Local Science and Technology Development[2020L3020]
Funding OrganizationNational Key Research and Development Program of China ; project of the Central Government Guides Local Science and Technology Development
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000641369700013
PublisherELSEVIER
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/161561
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Shaoqiang; Zhao, Jian
Affiliation1.Fujian Acad Agr Sci, Inst Digital Agr, Fuzhou 350003, Peoples R China
2.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geograph Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
5.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Peoples R China
6.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Agr Clean Watershed Res Grp, Beijing 100081, Peoples R China
Recommended Citation
GB/T 7714
Wang, Miaomiao,Wang, Shaoqiang,Zhao, Jian,et al. Global positive gross primary productivity extremes and climate contributions during 1982-2016[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,774:10.
APA Wang, Miaomiao,Wang, Shaoqiang,Zhao, Jian,Ju, Weimin,&Hao, Zhuo.(2021).Global positive gross primary productivity extremes and climate contributions during 1982-2016.SCIENCE OF THE TOTAL ENVIRONMENT,774,10.
MLA Wang, Miaomiao,et al."Global positive gross primary productivity extremes and climate contributions during 1982-2016".SCIENCE OF THE TOTAL ENVIRONMENT 774(2021):10.
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