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Proceedings Paper

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

Paper Details

Date Published: 24 October 2012
PDF: 9 pages
Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130R (24 October 2012); doi: 10.1117/12.928296
Show Author Affiliations
Zhiqiang Gao, Yantai Institute of Coastal Zone Research (China)
Institute of Geographical Sciences and Natural Resources Research (China)
Wei Gao, Colorado State Univ. (United States)
Xiaoming Cao, Institute of Geographic Sciences and Natural Resources Research (China)
Maosi Chen, Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 8513:
Remote Sensing and Modeling of Ecosystems for Sustainability IX
Wei Gao; Thomas J. Jackson, Editor(s)

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