%0 Journal Article
%T Simulation study of China’s net primary production
%A GAO ZhiQiang
%A LIU JiYuan
%A <br>
%J 科学通报(英文版)
%D 2008
%I 
%X Spatial and temporal distribution of vegetation net primary production (NPP) in China was studied using three light-use efficiency models (CASA, GLOPEM and GEOLUE) and two mechanistic ecological process models (CEVSA, GEOPRO). Based on spatial and temporal analysis (e.g. monthly, seasonally and annually) of simulated results from ecological process mechanism models of CASA, GLOPEM and CEVSA, the following conclusions could be made: (1) during the last 20 years, NPP change in China followed closely the seasonal change of climate affected by monsoon with an overall trend of increasing; (2) simulated average seasonal NPP was: 0.571±0.2 GtC in spring, 1.573±0.4 GtC in summer, 0.6±0.2 GtC in autumn, and 0.12±0.1 GtC in winter. Average annual NPP in China was 2.864±1 GtC. All the five models were able to simulate seasonal and spatial features of biomass for different ecological types in China. This paper provides a baseline for China’s total biomass production. It also offers a means of estimating the NPP change due to afforestation, reforestation, conservation and other human activities and could aid people in using for-mentioned carbon sinks to fulfill China’s commitment of reducing greenhouse gases. Supported by the National Natural Science Foundation of China (Grant No. 40471097), National Basic Research Program of China (Grant No.2002CB412507) and Knowledge Innovation Program of the Chinese Academy of Sciences
%K China
%K model comparison
%K net primary production (NPP)
%K temporal and spatial changes<br>中国
%K 净初级生产力
%K 模型比较
%K 时空变化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=DD6615BC9D2CFCE0B6F945E8D5314523&aid=3C267788CE9DB40514D6137602EEA11D&yid=67289AFF6305E306&vid=8E6AB9C3EBAAE921&iid=38B194292C032A66&sid=E57FE519484CFB70&eid=5824536C90612D67&journal_id=1001-6538&journal_name=科学通报(英文版)&referenced_num=0&reference_num=36