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Proceedings Paper

Using vegetation photosynthesis model to estimate net primary production of rangeland ecosystem in Inner Mongolia of China
Author(s): Ruijie Wang; Zhihao Qin; Bin Xu; Xiaoyong Zhang; Maofang Gao
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Paper Abstract

Rangeland in Inner Mongolia is an arid ecosystem with vulnerability. Anthropogenic activities especially over-grazing have been believed to be a leading factor shifting the vulnerability into actual degradation in the ecosystem. Net primary productivity (NPP) is an important indicator for vulnerability monitoring in arid ecosystem. In this study we use the vegetation photosynthesis model to estimate NPP of rangeland ecosystem in Inner Mongolia. The objective is to examine the spatial variation of NPP in Inner Mongolia and to highlight vulnerable areas for sustainable development. Several improvements have been done to the model especially in its parameterization. Land surface temperature required by the model was estimated from split window algorithm proposed for MODIS thermal band data. Using the MODIS image data and the ground climate datasets, we applied the improved model to estimate the NPP in 2003 in Inner Mongolia. Our results showed that mean NPP was 192.03gC m-2 Gr-1 in Inner Mongolia in 2003. Spatial variation of the NPP was very obvious. Very low NPP was observed in the western parts while relatively high NPP could be seen in the eastern and northeastern parts. For various type rangelands, temperate alpine meadow is the highest. Although the mean NPP of temperate steppe is not high, its area is the largest in Inner Mongolia, so it has the highest ratio to total NPP. Comparison of our NPP with similar studies from conventional methods confirms the accuracy of our estimation.

Paper Details

Date Published: 25 July 2007
PDF: 8 pages
Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67532S (25 July 2007); doi: 10.1117/12.761893
Show Author Affiliations
Ruijie Wang, Nanjing Univ. (China)
Zhihao Qin, Nanjing Univ. (China)
Chinese Academy of Agricultural Sciences (China)
Bin Xu, Chinese Academy of Agricultural Sciences (China)
Xiaoyong Zhang, Institute of Geographical Sciences and Natural Resources Research (China)
Maofang Gao, Chinese Academy of Agricultural Sciences (China)


Published in SPIE Proceedings Vol. 6753:
Geoinformatics 2007: Geospatial Information Science

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