干旱区生态环境知识资源中心(Arid): Modelling and analysis of net primary productivity and its response mechanism to climate factors in temperate grassland, northern China

Arid

DOI	10.1080/01431161.2018.1516322
	Modelling and analysis of net primary productivity and its response mechanism to climate factors in temperate grassland, northern China
	Zhao, Fen 1,2,3; Xu, Bin 3; Yang, Xiuchun 3; Xia, Lang 3; Jin, Yunxiang 3; Li, Jinya 4; Zhang, Wenbo 3; Guo, Jian 3; Shen, Ge 3
通讯作者	Xu, Bin
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2019
卷号	40 期号:5-6 页码:2259-2277
英文摘要	Grassland productivity is the most direct indicator of grassland's ecological status; thus, precise and rapid estimation of grassland productivity has an important significance for evaluating regional ecological carrying capacity, utilizing and developing natural resources reasonably. In this study, based on Moderate Resolution Imaging Spectroradiometer remote-sensing data, meteorological data, and ground measured data, the light utilization efficiency parameter of Carnegie-Ames-Stanford Approach model was optimized, and the optimized model was used to estimate net primary productivity (NPP) and analyse its spatio-temporal distribution of Xilingol grassland between 2005 and 2014. In addition, we investigated the NPP response mechanism to climate factors from two aspects, i.e. the accumulation amount and time of NPP. The results indicated that (i) Maximum light utilization efficiency was calculated to be 0.539g C MJ(-1) for Xilingol grassland according to the least error criterion. (ii) Validation against NPP observations from 30 sites showed good performance of the optimized model in the research area, with an overall coefficient of determination (R-2) of 0.72 and mean relative estimation error of 0.29. (iii) The annual mean NPP of Xilingol grassland was 161.23g C m(-2)year(-1), with a decreasing trend from the northeast to the southwest. (iv) NPP presented increasing trend with a rate of 3.89g C m(-2)year(-1) overall during 20052014, and the largest increase in NPP was found in temperate meadow-steppe. However, desert ecosystems showed the largest increasing rate after NPP standardization. (v) Precipitation was the main factor for driving carbon accumulation at the inter-annual scale, and the time to maximum NPP was significantly correlated with spring precipitation (R-2=0.637), NPP peaked early as the spring precipitation increasing.
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000464043900040
WOS关键词	GROSS PRIMARY PRODUCTION ; INNER-MONGOLIA ; VEGETATION ; CARBON ; NPP ; BIOMASS ; PRECIPITATION ; SATELLITE ; DYNAMICS ; SCALES
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216514
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China; 2.Chinese Acad Sci, Grad Univ, Beijing, Peoples R China; 3.China Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing, Peoples R China; 4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Fen,Xu, Bin,Yang, Xiuchun,et al. Modelling and analysis of net primary productivity and its response mechanism to climate factors in temperate grassland, northern China[J]. 中国科学院地理科学与资源研究所,2019,40(5-6):2259-2277.
APA	Zhao, Fen.,Xu, Bin.,Yang, Xiuchun.,Xia, Lang.,Jin, Yunxiang.,...&Shen, Ge.(2019).Modelling and analysis of net primary productivity and its response mechanism to climate factors in temperate grassland, northern China.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),2259-2277.
MLA	Zhao, Fen,et al."Modelling and analysis of net primary productivity and its response mechanism to climate factors in temperate grassland, northern China".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):2259-2277.