Quantitative site classification in the key county in the conversion of farmland to forests project

Li Shidong1, Shen Guofang2, Zhai Mingpu2, Li Junqing2

PDF(439 KB)
PDF(439 KB)
Front. For. China ›› 2006, Vol. 1 ›› Issue (2) : 157-162. DOI: 10.1007/s11461-006-0023-7

Quantitative site classification in the key county in the conversion of farmland to forests project

  • Li Shidong1, Shen Guofang2, Zhai Mingpu2, Li Junqing2
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Abstract

According to the requirements of the conversion of farmland to forests project (CFFP), we investigated the vegetation factors and environmental factors from more than 6,105 sub-compartments in Liangcheng County, Inner Mongolia by using the Matlab, analytic hierarchy process (AHP), and the hierarchical cluster method (HCM). The site conditions were classified quantitatively. The results show that CFFP at this site comprises five site-type groups and 19 site types. A quantitative site classification system method has been established in this paper.

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Li Shidong, Shen Guofang, Zhai Mingpu, Li Junqing. Quantitative site classification in the key county in the conversion of farmland to forests project. Front. For. China, 2006, 1(2): 157‒162 https://doi.org/10.1007/s11461-006-0023-7
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