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

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  • 1.College of Resources and Environment, Beijing Forestry University, Beijing 100083, China; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2.College of Resources and Environment, Beijing Forestry University, Beijing 100083, China

Published date: 05 Jun 2006

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.

Cite this article

Li Shidong, Shen Guofang, Zhai Mingpu, Li Junqing . Quantitative site classification in the key county in the conversion of farmland to forests project[J]. Frontiers of Forestry in China, 2006 , 1(2) : 157 -162 . DOI: 10.1007/s11461-006-0023-7

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