WeiXing Wu1; ShaoQiang Wang1; XiangMing Xiao2; GuiRui Yu1; YuLing Fu1; YanBin Hao3
Source Publicationscienceinchinaseriesdearthsciences
AbstractCarbon fluxes in temperate grassland ecosystems are characterized by large inter-annual variations due to fluctuations in precipitation and land water availability. Since an eddy flux tower has been in operation in the Xilin Gol grassland, which belongs to typical temperate grassland in North China, in this study, observed eddy covariance flux data were used to critically evaluate the biophysical performance of different remote sensing vegetation indices in relation to carbon fluxes. Furthermore, vegetation photosynthesis model (VPM) was introduced to estimate gross primary production (GPP) of the grassland ecosystem for assessing its dependability. As defined by the input variables of VPM, Moderate Resolution Imaging Spectroradimeter (MODIS) and standard data product MOD09A1 were downloaded for calculating enhanced vegetation index (EVI) and land surface water index (LSWI). Measured air temperature (Ta) and photosynthetically active radiation (PAR) data were also included for model simulating. Field CO2 flux data, during the period from May, 2003 to September, 2005, were used to estimate the "observed" GPP (GPP(obs)) for validation. The seasonal dynamics of GPP predicted from VPM (GPP(VPM)) was compared quite well (R-2=0.903, N=111, p<0.0001) with the observed GPP. The aggregate GPP(VPM) for the study period was 641.5 g C.m(-2), representing a similar to 6% over-estimation, compared with GPP(obs). Additionally, GPP predicted from other two typical production efficiency model (PEM) represents either higher overestimation or lower underestimation to GPP(obs). Results of this study demonstrate that VPM has potential for estimating site-level or regional grassland GPP, and might be an effective tool for scaling-up carbon fluxes.
Funding Project[Chinese Academy of Sciences] ; [National Basic Research Program of China] ; [NASA]
Document Type期刊论文
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
WeiXing Wu,ShaoQiang Wang,XiangMing Xiao,et al. modelinggrossprimaryproductionofatemperategrasslandecosystemininnermongoliachinausingmodisimageryandclimatedata[J]. scienceinchinaseriesdearthsciences,2008,51(10):1501.
APA WeiXing Wu,ShaoQiang Wang,XiangMing Xiao,GuiRui Yu,YuLing Fu,&YanBin Hao.(2008).modelinggrossprimaryproductionofatemperategrasslandecosystemininnermongoliachinausingmodisimageryandclimatedata.scienceinchinaseriesdearthsciences,51(10),1501.
MLA WeiXing Wu,et al."modelinggrossprimaryproductionofatemperategrasslandecosystemininnermongoliachinausingmodisimageryandclimatedata".scienceinchinaseriesdearthsciences 51.10(2008):1501.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[WeiXing Wu]'s Articles
[ShaoQiang Wang]'s Articles
[XiangMing Xiao]'s Articles
Baidu academic
Similar articles in Baidu academic
[WeiXing Wu]'s Articles
[ShaoQiang Wang]'s Articles
[XiangMing Xiao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[WeiXing Wu]'s Articles
[ShaoQiang Wang]'s Articles
[XiangMing Xiao]'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.