Seasonal dynamics of terrestrial net primary production in China

Jun Shi; Zhiqiang Gao; Linli Cui

doi:10.1117/12.614658

1 September 2005 Seasonal dynamics of terrestrial net primary production in China

Jun Shi, Zhiqiang Gao, Linli Cui

Proceedings Volume 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II; 588418 (2005) https://doi.org/10.1117/12.614658
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

Study on seasonal change of terrestrial net primary production (NPP) and its responses to climate are to help understand the responses of terrestrial ecosystem to climate change and mechanisms of annual NPP increases. In this study, GLO-PEM simulating NPP data and corresponding climate data were used to explore the seasonal changes of terrestrial NPP and their geographical differences in China from 1981 to 2000. As the results, seasonal total NPP in China showed a significant increase for all four seasons during the past 20 years. The spring NPP indicated the largest increase rate, while the summer NPP was with the largest increase in magnitude. The area of NPP increase was largest in summer, and that of NPP decrease was largest in autumn. Seasonal NPP changed differently in different regions. Increased temperature or precipitation or their comprehensive functions might contribute to the NPP increase, and decreased precipitation might answer for the decreased NPP in most regions. South China had the largest NPP increase in spring, autumn and winter and the highest NPP increase rate in autumn, North China had the largest NPP increase rate in spring and winter, while Central China had the largest NPP increase and increase rate in summer.

Citation Download Citation

Jun Shi, Zhiqiang Gao, and Linli Cui "Seasonal dynamics of terrestrial net primary production in China", Proc. SPIE 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II, 588418 (1 September 2005); https://doi.org/10.1117/12.614658

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KEYWORDS

Climate change

Data modeling

Climatology

Atmospheric modeling

Carbon

Vegetation

Ecosystems

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