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	Combining LPJ-GUESS and HASM to simulate the spatial distribution of forest vegetation carbon stock in China
	Zhao M. W. ; Yue T. X. ; Zhao N. ; Sun X. F. ; Zhang X. Y.
	2014
关键词	forest carbon storage initial value sample points LPJ-GUESS HASM plant geography biomass models cycle storage budget land
英文摘要	It is very important in accurately estimating the forests' carbon stock and spatial distribution in the regional scale because they possess a great rate in the carbon stock of the terrestrial ecosystem. Yet the current estimation of forest carbon stock in the regional scale mainly depends on the forest inventory data, and the whole process consumes too much labor, money and time. And meanwhile it has many negative influences on the forest carbon storage updating. In order to figure out these problems, this paper, based on High Accuracy Surface Modeling (HASM), proposes a forest vegetation carbon storage simulation method. This new method employs the output of LPJ-GUESS model as initial values of HASM and uses the inventory data as sample points of HASM to simulate the distribution of forest carbon storage in China. This study also adopts the seventh forest resources statistics of China as the data source to generate sample points, and it also works as the simulation accuracy test. The HASM simulation shows that the total forest carbon storage of China is 9.2405 Pg, while the calculated value based on forest resources statistics are 7.8115 Pg. The forest resources statistics is taken based on a forest canopy closure, and the result of HASM is much more suitable to the real forest carbon storage. The simulation result also indicates that the southwestern mountain region and the northeastern forests are the important forest carbon reservoirs in China, and they account for 39.82% and 20.46% of the country's total forest vegetation carbon stock respectively. Compared with the former value (1975-1995), it manifests that the carbon storage of the two regions do increase clearly. The results of this research show that the large-scale reforestation in the last decades in China attains a significant carbon sink.
出处	Journal of Geographical Sciences
卷	24
期	2
页	249-268
收录类别	SCI
语种	英语
ISSN号	1009-637X
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/29379]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Zhao M. W.,Yue T. X.,Zhao N.,et al. Combining LPJ-GUESS and HASM to simulate the spatial distribution of forest vegetation carbon stock in China. 2014.

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