Title :
The forest vegetation NPP spatial pattern analysis of Jing-Jin-Ji region
Author :
Xiao-li, Zhang ; Hong-mei, Sun ; Guang, Liu
Author_Institution :
Beijing Forestry University, The Key Laboratory for Silviculture and Conservation of Ministry of Education, China
Abstract :
The estimation of vegetation net primary production (NPP) is the basis and important content of global carbon cycling research. The development and application of remote sensing technology provided a new method for the estimation of NPP. Based on the application of remote sensing and GIS technology, using the improved Carnegie Ames Stanford Approach (CASA) model, the vegetation NPP of Jing-Jin-Ji region in 2004 was estimated. And on this basis, this paper analyzed the forest vegetation NPP spatial pattern in the study area, including the overall distribution of NPP, NPP in each region and NPP of various forest types, et al. The result shows that the vegetation NPP gradually decreased from northwest to southeast, and had certain latitude zonal and vertical zonal rule, but the longitude zonal rule was not obvious.
Keywords :
Biological system modeling; Estimation; Productivity; Remote sensing; Vegetation; Vegetation mapping; Carnegie Ames Stanford Approach (CASA) model; net primary production (NPP); spatial pattern;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691746
