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

Front. For. China ›› 2006, Vol. 1 ›› Issue (2) : 157 -162.

PDF (439KB)
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

Author information +
History +
PDF (439KB)

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.

Keywords

the conversion of farmland to forests project (CFFP), site classification, quantitative, site types

Cite this article

Download citation ▾
null. Quantitative site classification in the key county in the conversion of farmland to forests project. Front. For. China, 2006, 1(2): 157-162 DOI:10.1007/s11461-006-0023-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

AI Summary AI Mindmap
PDF (439KB)

499

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/