中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Satellite-based estimation of net primary productivity for southern China's grasslands from 1982 to 2012

文献类型:期刊论文

作者Yang, WB; Lu, T; Liu, SY; Jian, J; Shi, FS; Wu, Y; Wu, N; Lu, T (reprint author), Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China.; Lu, T (reprint author), Chinese Acad Sci, Key Lab Mt Ecol Restorat & Bioresource Utilizat, Chengdu 610041, Peoples R China.; Lu, T (reprint author), Chinese Acad Sci, Ecol Restorat Biodivers Conservat Key Lab Sichuan, Chengdu 610041, Peoples R China.
刊名CLIMATE RESEARCH
出版日期2017
卷号71期号:3页码:187-201
关键词Net Primary Production Grasslands Spatiotemporal Variations Climatic Effect Carnegie-ames-stanford-approach Casa Southern China
DOI10.3354/cr01429
产权排序1
文献子类Article
英文摘要Grassland productivity change, along with the factors driving this change, is central to the study of terrestrial ecosystems. To date, few studies have examined these factors in grassland areas in southern China. In this study, we investigated grassland productivity change in an area in southern China that constitutes nearly 25% of the country's total terrestrial area. Pairing GIMMS NDVI3g data with meteorological data from between 1982 and 2012, we estimated grassland net primary productivity (NPP) using the Carnegie-Ames-Stanford-Approach model. We then investigated the spatiotemporal changes in grassland NPP in response to several climate factors. Overall, we found an average annual grassland NPP of 309.6 g C m(-2) with a relatively large annual variation of 198.3 to 365.1 g C m(-2). Annual NPP exhibited an increasing trend, from 288 g C m(-2) yr(-1) in the 1980s to 323 g C m(-2) yr(-1) in the 2010s, with a mean annual increase rate of 0.39%. More than two-thirds of the grasslands (70.69%) showed relatively small fluctuations in annual NPP change. Collectively, our results indicate that grasslands in southern China were a relatively productive and stable ecosystem over the study period, accounting for approximately 1.8 to 5.5% of total annual Chinese terrestrial NPP. Our results also indicate interesting correlations between NPP and climate factors. During the study period, and across the study area, solar radiation and precipitation were positively correlated with NPP, while temperature was negatively correlated with NPP. Increases in NPP due to increasing radiation and precipitation combined with the decreases in NPP resulting from increasing temperature yielded an insignificant change in NPP overall.
学科主题Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
资助机构The study was funded jointly by the Strategic Priority Research Program of the Chinese Academy of Sciences (#XDA05050407) and the National Natural Science Foundation of China (#41371126). We thank C.W. Xiao and J.M. Fu for providing some of the field sampling data used in this paper. We also thank 2 anonymous reviewers for comments that greatly improved the manuscript. ; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA05050407] ; The study was funded jointly by the Strategic Priority Research Program of the Chinese Academy of Sciences (#XDA05050407) and the National Natural Science Foundation of China (#41371126). We thank C.W. Xiao and J.M. Fu for providing some of the field sampling data used in this paper. We also thank 2 anonymous reviewers for comments that greatly improved the manuscript. ; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA05050407] ; National Natural Science Foundation of China [41371126] ; National Natural Science Foundation of China [41371126] ; The study was funded jointly by the Strategic Priority Research Program of the Chinese Academy of Sciences (#XDA05050407) and the National Natural Science Foundation of China (#41371126). We thank C.W. Xiao and J.M. Fu for providing some of the field sampling data used in this paper. We also thank 2 anonymous reviewers for comments that greatly improved the manuscript. ; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA05050407] ; The study was funded jointly by the Strategic Priority Research Program of the Chinese Academy of Sciences (#XDA05050407) and the National Natural Science Foundation of China (#41371126). We thank C.W. Xiao and J.M. Fu for providing some of the field sampling data used in this paper. We also thank 2 anonymous reviewers for comments that greatly improved the manuscript. ; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA05050407] ; National Natural Science Foundation of China [41371126] ; National Natural Science Foundation of China [41371126]
源URL[http://210.75.237.14/handle/351003/29166]  
专题成都生物研究所_生态研究
通讯作者Lu, T (reprint author), Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China.; Lu, T (reprint author), Chinese Acad Sci, Key Lab Mt Ecol Restorat & Bioresource Utilizat, Chengdu 610041, Peoples R China.; Lu, T (reprint author), Chinese Acad Sci, Ecol Restorat Biodivers Conservat Key Lab Sichuan, Chengdu 610041, Peoples R China.
推荐引用方式
GB/T 7714
Yang, WB,Lu, T,Liu, SY,et al. Satellite-based estimation of net primary productivity for southern China's grasslands from 1982 to 2012[J]. CLIMATE RESEARCH,2017,71(3):187-201.
APA Yang, WB.,Lu, T.,Liu, SY.,Jian, J.,Shi, FS.,...&Lu, T .(2017).Satellite-based estimation of net primary productivity for southern China's grasslands from 1982 to 2012.CLIMATE RESEARCH,71(3),187-201.
MLA Yang, WB,et al."Satellite-based estimation of net primary productivity for southern China's grasslands from 1982 to 2012".CLIMATE RESEARCH 71.3(2017):187-201.

入库方式: OAI收割

来源:成都生物研究所

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