Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years

doi:10.1111/gcb.13830

CORC > 植物研究所 > 中国科学院植物研究所 > 植被与环境变化国家重点实验室

	Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years
	Yao, Yitong ; Wang, Xuhui ; Li, Yue ; Wang, Tao 2,3; Shen, Miaogen 2,3; Du, Mingyuan 4; He, Honglin 5; Li, Yingnian 6; Luo, Weijun 7; Ma, Mingguo 8
刊名	GLOBAL CHANGE BIOLOGY
	2018
卷号	24 期号:1 页码:184-196
关键词	China climate change eddy covariance gross primary productivity interannual variability model tree ensemble
ISSN号	1354-1013
DOI	10.1111/gcb.13830
文献子类	Article
英文摘要	The uncertainties of China's gross primary productivity (GPP) estimates by global data-oriented products and ecosystem models justify a development of high-resolution data-oriented GPP dataset over China. We applied a machine learning algorithm developing a new GPP dataset for China with 0.1 degrees spatial resolution and monthly temporal frequency based on eddy flux measurements from 40 sites in China and surrounding countries, most of which have not been explored in previous global GPP datasets. According to our estimates, mean annual GPP over China is 6.62 +/- 0.23 PgC/year during 1982-2015 with a clear gradient from southeast to northwest. The trend of GPP estimated by this study (0.020 +/- 0.002 PgC/year(2) from 1982 to 2015) is almost two times of that estimated by the previous global dataset. The GPP increment is widely spread with 60% area showing significant increasing trend (p <.05), except for Inner Mongolia. Most ecosystem models overestimated the GPP magnitudes but underestimated the temporal trend of GPP. The monsoon affected eastern China, in particular the area surrounding Qinling Mountain, seems having larger contribution to interannual variability (IAV) of China's GPP than the semiarid northwestern China and Tibetan Plateau. At country scale, temperature is the dominant climatic driver for IAV of GPP. The area where IAV of GPP dominated by temperature is about 42%, while precipitation and solar radiation dominate 31% and 27% respectively over semiarid area and cold-wet area. Such spatial pattern was generally consistent with global GPP dataset, except over the Tibetan Plateau and northeastern forests, but not captured by most ecosystem models, highlighting future research needs to improve the modeling of ecosystem response to climate variations.
学科主题	Biodiversity Conservation ; Ecology ; Environmental Sciences
电子版国际标准刊号	1365-2486
出版地	HOBOKEN
WOS关键词	NET PRIMARY PRODUCTION ; TERRESTRIAL CARBON-CYCLE ; INTERANNUAL VARIABILITY ; ECOSYSTEM EXCHANGE ; PLANT GEOGRAPHY ; MODEL ; BIOSPHERE ; PRECIPITATION ; DYNAMICS ; DIOXIDE
语种	英语
出版者	WILEY
WOS记录号	WOS:000426506100044
资助机构	National Basic Research Program of ChinaNational Basic Research Program of China [2013CB956303] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41530528] ; National Youth Top-notch Talent Support Program in China
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/20642]
专题	植被与环境变化国家重点实验室
作者单位	1.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Key Lab Trop Forest Ecol, Mengla, Yunnan, Peoples R China 2.Peking Univ, Coll Urban & Environm Sci, Sinofrench Inst Earth Syst Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Tibetan Earth Sci, Beijing, Peoples R China 5.Natl Agr & Food Res Org, Inst Agroenvironm Sci, Tsukuba, Ibaraki, Japan 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 7.Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Adaptat & Evolut Plateau Biota, Xining, Qinghai, Peoples R China 8.Chinese Acad Sci, Inst Geochem, State Key Lab Environm Geochem, Guiyang, Guizhou, Peoples R China 9.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Cold & Arid Reg Remote Sensing Observat Syst Expt, Lanzhou, Gansu, Peoples R China 10.Chinese Acad Sci, Northwest Inst Plateau Biol, Haibei Alpine Meadow Ecosyst Res Stn, Key Lab Adaptat & Evolut Plateau Biota, Xining, Qinghai, Peoples R China
推荐引用方式 GB/T 7714	Yao, Yitong,Wang, Xuhui,Li, Yue,et al. Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years[J]. GLOBAL CHANGE BIOLOGY,2018,24(1):184-196.
APA	Yao, Yitong.,Wang, Xuhui.,Li, Yue.,Wang, Tao.,Shen, Miaogen.,...&Piao, Shilong.(2018).Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years.GLOBAL CHANGE BIOLOGY,24(1),184-196.
MLA	Yao, Yitong,et al."Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years".GLOBAL CHANGE BIOLOGY 24.1(2018):184-196.