@inproceedings{117a8cdaa7af4692b9927d500c790b56,
title = "The analysis of net primary productivity in China based on GEOLUE model",
abstract = "GEOLUE model was designed with Light Use Efficiency (LUE) mechanism and was validated with observed data and models comparison (GLOPEM, CASA, and CEVSA). We found that: GEOLUE model correctly simulates monthly, quarterly and annual variation of Net Primary Product (NPP) in different vegetation communities under monsoon climate. The spatial distribution of NPP simulated by GEOLUE matched up to 96.67\% with that of forest and shrub land. The GEOLUE model perfectly simulated the seasonal characteristics and spatial pattern of biomass in different types of vegetation. The total amount NPP of China simulated by GEOLUE is 0.667GtC in spring, 1.365GtC in summer, 0.587GtC in autumn and 0.221GtC in winter. The average total NPP of China for 5 years is 2.84GtC / year.",
keywords = "China, Model of Light Use Efficiency, Net Primary Product (NPP), Simulation",
author = "Zhiqiang Gao and Wei Gao and Cao Xiaoming and Maosi Chen",
year = "2012",
doi = "10.1117/12.928296",
language = "英语",
isbn = "9780819492302",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability IX",
note = "Remote Sensing and Modeling of Ecosystems for Sustainability IX ; Conference date: 16-08-2012 Through 16-08-2012",
}
