NWIPB OpenIR
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 ; Shen, Miaogen ; Du, Mingyuan ; He, Honglin ; Li, Yingnian ; Luo, Weijun ; Ma, Mingguo ; Ma, Yaoming ; Tang, Yanhong ; Wang, Huimin ; Zhang, Xianzhou ; Zhang, Yiping ; Zhao, Liang ; Zhou, Guangsheng ; Piao, Shilong
2018
Source PublicationGLOBAL CHANGE BIOLOGY
AbstractThe 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.
Document Type期刊论文
Identifierhttp://210.75.249.4/handle/363003/34001
Collection中国科学院西北高原生物研究所
Recommended Citation
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.
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.
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 (2018).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yao, Yitong]'s Articles
[Wang, Xuhui]'s Articles
[Li, Yue]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yao, Yitong]'s Articles
[Wang, Xuhui]'s Articles
[Li, Yue]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yao, Yitong]'s Articles
[Wang, Xuhui]'s Articles
[Li, Yue]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.