Global positive gross primary productivity extremes and climate contributions during 1982-2016

doi:10.1016/j.scitotenv.2021.145703

	Global positive gross primary productivity extremes and climate contributions during 1982-2016
	Wang, Miaomiao 2,3; Wang, Shaoqiang 3,4,5; Zhao, Jian 2; Ju, Weimin 1; Hao, Zhuo 6
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2021-06-20
卷号	774 页码:10
关键词	Positive GPP extremes Climate extremes Terrestrial biosphere models (TBMs) The global terrestrial ecosystem
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2021.145703
通讯作者	Wang, Shaoqiang(sqwang@igsnrr.ac.cn) ; Zhao, Jian(zhaojian@faas.cn)
英文摘要	Gross 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.
资助项目	National 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]
WOS关键词	NET PRIMARY PRODUCTIVITY ; EUROPE-WIDE REDUCTION ; LAND-SURFACE MODEL ; INTERANNUAL VARIABILITY ; ECOSYSTEM PRODUCTIVITY ; TERRESTRIAL ECOSYSTEMS ; CARBON ; CHINA ; DROUGHT ; RESPIRATION
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000641369700013
资助机构	National Key Research and Development Program of China ; project of the Central Government Guides Local Science and Technology Development
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/161560]
专题	中国科学院地理科学与资源研究所
通讯作者	Wang, Shaoqiang; Zhao, Jian
作者单位	1.Nanjing Univ, Int Inst Earth Syst Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210023, Peoples R China 2.Fujian Acad Agr Sci, Inst Digital Agr, Fuzhou 350003, Peoples R China 3.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geograph Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 6.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Agr Clean Watershed Res Grp, Beijing 100081, Peoples R China
推荐引用方式 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.