文献类型：会议论文

英文题名：SIMULATION OF CARBON FLUX OF FOREST ECOSYSTEM BY BIOME-BGC AND MODIS-PSN MODELS

作者：Yan, Min[1] Li, Zengyuan[1] Tian, Xin[1] Chen, Erxue[1] Zhang, Wangfei[1] Guo, Yun[1] Li, Chunmei[1]

第一作者：Yan, Min

通信作者：Li, ZY[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

会议论文集：IEEE Joint International Geoscience and Remote Sensing Symposium (IGARSS) / 35th Canadian Symposium on Remote Sensing

会议日期：JUL 13-18, 2014

会议地点：Quebec City, CANADA

语种：英文

外文关键词：carbon flux; Biome-BGC; MODIS-PSN; combination; the Qilian Mountains

年份：2014

摘要：An approach was used to incorporate the forest carbon flux for Qilian Mountains by ecological-process-based model (Biome-BGC), and remote-sensing-based model (MODIS-PSN). The calibration phase, aiming at setting the ecophysiological parameters to effectively simulate the daily GPP behavior of the Qilian Mountains, was proceeded by adjusting the 8 day GPP outputs obtained from Biome-BGC using the optimized MODIS-PSN algorithm and the observations. The results showed that the optimized MODIS-PSN could describe the GPP behavior faithfully comparing to the eddy covariance-observed GPPs, with R-2 = 0.77, RMSE=6.219gC/m(2)/8d. After validation, the calibrated Biome-BGC has been proved to estimate the performances of daily GPP behavior effectively comparing to the eddy covariance-observed GPPs, especially in summer and winter (with R-2 = 0.76, RMSE=1.3115gC/m(2)/d), which illustrated that the combination of Biome-BGC and optimized MODIS-PSN could express the carbon fluxes well over the Qilian Mountains.