Changes of net primary productivity in China during recent 11 years detected using an ecological model driven by MODIS data

Abstract

Net primary productivity (NPP) is an important component of the terrestrial carbon cycle. Accurately mapping the spatial-temporal variations of NPP in China is crucial for global carbon cycling study. In this study the process-based Boreal Ecosystem Productivity Simulator (BEPS) was employed to study the changes of NPP in China’s ecosystems for the period from 2000 to 2010. The BEPS model was first validated using gross primary productivity (GPP) measured at typical flux sites and forest NPP measured at different regions. Then it was driven with leaf area index (LAI) inversed from the Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance and land cover products and meteorological data interpolated from observations at 753 national basic meteorological stations to simulate NPP at daily time steps and a spatial resolution of 500 m from January 1, 2000 to December 31, 2010. Validations show that BEPS is able to capture the seasonal variations of tower-based GPP and the spatial variability of forest NPP in different regions of China. Estimated national total of annual NPP varied from 2.63 to 2.84 Pg C·yr^-1, averaging 2.74 Pg C·yr^-1 during the study period. Simulated terrestrial NPP shows spatial patterns decreasing from the east to the west and from the south to the north, in association with land cover types and climate. South-west China makes the largest contribution to the national total of NPP while NPP in the North-west account for only 3.97% of the national total. During the recent 11 years, the temporal changes of NPP were heterogamous. NPP increased in 63.8% of China’s landmass, mainly in areas north of the Yangtze River and decreased in most areas of southern China, owing to the low temperature freezing in early 2008 and the severe drought in late 2009.

Keywords

temporal and spatial variations / NPP / remote sensing / MODIS data / BEPS model

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Acknowledgements

This research was supported by National Basic Research Program of China (Grant Nos. 2010CB833503 and 2010CB0705002), the National High Technology Research and Development Program of China (No. 2009AA122005), Chinese Academy of Sciences (No. XDA05050602-1), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg