%0 Journal Article
%T Variation in Vegetation Net Primary Productivity and Its Responseto Climate in Buryatiya Republic, Russia<br>植被NPP变化及其对气候的响应——以俄罗斯布里亚特共和国地区为例
%A REN Zhengchao
%A ZHU Huazhong
%A LI Rui
%A LIU Xiaoni
%A <br>任正超
%A 朱华忠
%A 李锐
%A 柳小妮
%J 资源科学
%D 2010
%I 
%X As a critical index for morning the terrestrial ecosystem responding to climate change,net primary productivity (NPP) is widely used to reflect the productivity of vegetation communityunder natural conditions. Little work has been carried out on vegetation NPP in Buryatiya RepublicRussia in China. As Baikal Lake is located in Buryatiya, it would affect the vegetation growth inthis area through changing the atmospheric circulation. Moreover, Buryatiya borders on NorthernChina. It would be of great importance for natural resource security and ecological value evaluationin Northern China to examine the vegetation growth there. In order to fully understand temporaland spatial variations in vegetation NPP and its response to climate change, satellite images ofModerate-resolution Imaging Spectroradiometer (MODIS) NDVI products in conjunction withground-based observations of climatology were jointly used to estimate the vegetation NPP inBuryatiya Republic during the period 2000-2008. Meanwhile, observed values of vegetation NPPand MODIS NPP products were jointly utilized to verify simulations of vegetation NPP in thisarea. Data of MODIS NDVI and MODIS NPP were obtained from the United States GeologicalSurvey (USGS), and the ground observations of climatology were gained from the United StatesNational Centers for Environmental Prediction (NCEP). In addition, observations of vegetationNPP were obtained in August 2008 and September 2009 in Buryatiya. In particular, the CarnegieAmes Stanford Approach (CASA) was improved by simplifying its parameters so as to be suitablefor large-scale estimation of vegetation NPP. Bio-temperature instead of monthly averagetemperature was applied to the sub-model of soil water content. Subsequently, the reliability of themodel was tested with the observed vegetation NPP. Variation in vegetation NPP and itsrelationship with climatic factors were analyzed in detail. Results showed that: 1) the modifiedCASA model can be used to estimate vegetation NPP in Buryatiya Republic, and the accuracy ofthe model was generally high with a correlation coefficient of 0.88 (p<0.01); 2) the vegetationaverage annual NPP was 544.29 gC·m-2·a-1 and the total NPP was estimated as 1.91E+14gC·a-1.Vegetation NPP exhibited an increasing trend at a rate of roughly 0.39 gC·m-2·a-1 from 2000 to2008. As for monthly variation, vegetation NPP increased significantly from April to July,decreased rapidly from August to November, and maintained steady from December to March ofthe next year. Its monthly increasing rate was found to be approximately 9.93 gC·m-2·month-1.Amongst all climatic factors (i.e., temperature, precipitation, solar radiation, and soil watercontent), only solar radiation indicated a decreasing trend during the study period; and 3) thecorrelation between vegetation NPP and climatic factors was high (p<0.01) at a monthly level, butlow at a yearly level, because the difference was reduced through summing the average values ofclimatic observati
%K Buryatiya Republic
%K Vegetation NPP
%K CASA model
%K Climatic factor<br>布里亚特共和国
%K 植被NPP
%K CASA模型
%K 气候因子
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=B47B31F6349F979B&jid=9DEEAF23637E6E9539AD99BE6ABAB2B3&aid=B591601A47BC0A8767F85DB1C7F8BEF7&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=F3090AE9B60B7ED1&sid=140ECF96957D60B2&eid=B6351343F4791CA3&journal_id=1007-7588&journal_name=资源科学&referenced_num=0&reference_num=17