Modelling and analysis of net primary productivity and its response mechanism to climate factors in temperate grassland, northern China
Zhao, Fen1,2,3; Xu, Bin3; Yang, Xiuchun3; Xia, Lang3; Jin, Yunxiang3; Li, Jinya4; Zhang, Wenbo3; Guo, Jian3; Shen, Ge3
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
2019
卷号40期号:5-6页码:2259-2277
ISSN号0143-1161
DOI10.1080/01431161.2018.1516322
通讯作者Xu, Bin(xubin@caas.cn)
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.
资助项目National Natural Science Foundation of China[31372354] ; National Natural Science Foundation of China[41571105] ; Open Fund for the Key Laboratory of Agri-informatics, Ministry of Agriculture, China[2015003] ; National Key Research and Development Program of China[2017YFC0506504] ; Agricultural Scientific Research Fund of Outstanding Talents, Ministry of Agriculture, China[2015003]
WOS关键词GROSS PRIMARY PRODUCTION ; INNER-MONGOLIA ; VEGETATION ; CARBON ; NPP ; BIOMASS ; PRECIPITATION ; SATELLITE ; DYNAMICS ; SCALES
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者TAYLOR & FRANCIS LTD
WOS记录号WOS:000464043900040
资助机构National Natural Science Foundation of China ; Open Fund for the Key Laboratory of Agri-informatics, Ministry of Agriculture, China ; National Key Research and Development Program of China ; Agricultural Scientific Research Fund of Outstanding Talents, Ministry of Agriculture, China
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/48186]  
专题中国科学院地理科学与资源研究所
通讯作者Xu, Bin
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]. INTERNATIONAL JOURNAL OF REMOTE SENSING,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.
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