Fusion of remotely sensed 3D vegetation structure with a dynamic global terrestrial ecosystem model for improved estimates of carbon stocks and land-atmosphere exchanges

摘要：

　　Estimation of carbon dynamics and stocks on land is one of the major stumbling blocks in the carbon cycle modeling community.This study describes our research effort to develop the Ent Dynamic Global Terrestrial Ecosystem Model (Ent DGTEM) for coupling with a atmospheric general circulation models (GCMs) for study the impact of climate change on terrestrial ecosystem.We will also describe current effort to fusion lidar remotely sensed 3-D vegetation structure with Ent for improved estimates of carbon stocks and land-atmosphere exchanges.

作者: Wenge Ni-Meister

作者单位: Department of Geography,Hunter College of The City University of New York,New York,USA

会议类型: 国内会议

会议名称: 生态系统对气候变化的适应性与未来地球国际会议

会议地点: 北京

会议语种:英文

页码: 36-44

在线出版日期: 2013-06-29（万方平台首次上网日期，不代表论文的发表时间）