This paper reports on the development and testing of a procedure for assessing large-scale patterns of vegetation Net Primary Productivity (NPP) in North Tibet Plateau. This work was based on Carnegie-Ames-Stanford Approach (CASA) model, multi-temporal MODIS data and ground meteorological data. The research shows that: (1) for NPP, an estimated result of North Tibet Plateau approaches an actually tested value. A fast diagnosis and an accurate evaluation to temporal and spatial distribution of NPP can be fulfilled by CASA model; (2) spatial distribution of NPP appears a progressive decrease from SE to NW and this distribution is identical to hydrothermal conditions and vegetations zonal differentiation. A total NPP in study area is 46.434MtC/a, the largest occurring in high-cold meadow, making up 48.4 percent; the second in high-cold steppe, 39.24 percent, respectively; (3) NPP is featured by an obvious seasonal variation: extremely low in middle winter (from November to March), its cumulative value making up 3.2 percent of annual NPP; highest in summer (from June to September), its cumulative value covering 84 percent, respectively. This temporal variation of NPP is related to the seasonal variation of both temperature and moisture content in North Tibet Plateau

Date Published: 3 November 2008
PDF: 10 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71450J (3 November 2008); doi: 10.1117/12.812996

Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)