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

Zhiqiang Gao; Wei Gao; Xiaoming Cao; Maosi Chen

doi:10.1117/12.928296

24 October 2012 The analysis of net primary productivity in China based on GEOLUE model

Zhiqiang Gao, Wei Gao, Xiaoming Cao, Maosi Chen

Proceedings Volume 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX; 85130R (2012) https://doi.org/10.1117/12.928296
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

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.

Citation Download Citation

Zhiqiang Gao, Wei Gao, Xiaoming Cao, and Maosi Chen "The analysis of net primary productivity in China based on GEOLUE model", Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130R (24 October 2012); https://doi.org/10.1117/12.928296

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