The analysis of net primary productivity in China based on GEOLUE model

摘要

GEOLUE model was designed with Light Use Efficiency (LUE) mechanism and was validated withobserved data and models comparison (GLOPEM, CASA, and CEVSA). We found that: GEOLUE modelcorrectly simulates monthly, quarterly and annual variation of Net Primary Product (NPP) in differentvegetation communities under monsoon climate. The spatial distribution of NPP simulated by GEOLUEmatched up to 96.67% with that of forest and shrub land. The GEOLUE model perfectly simulated theseasonal characteristics and spatial pattern of biomass in different types of vegetation. The total amountNPP of China simulated by GEOLUE is 0.667GtC in spring, 1.365GtC in summer, 0.587GtC in autumnand 0.221GtC in winter. The average total NPP of China for 5 years is 2.84GtC / year.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.