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    李世东, 沈国舫, 翟明普, 李俊清. 退耕还林重点工程县立地分类定量化研究[J]. 北京林业大学学报, 2005, 27(6): 9-13.
    引用本文: 李世东, 沈国舫, 翟明普, 李俊清. 退耕还林重点工程县立地分类定量化研究[J]. 北京林业大学学报, 2005, 27(6): 9-13.
    LI Shi-dong, SHEN Guo-fang, ZHAI Ming-pu, LI Jun-qing. Quantitative study on the site classification of key county in the conversion of farmland to forestland[J]. Journal of Beijing Forestry University, 2005, 27(6): 9-13.
    Citation: LI Shi-dong, SHEN Guo-fang, ZHAI Ming-pu, LI Jun-qing. Quantitative study on the site classification of key county in the conversion of farmland to forestland[J]. Journal of Beijing Forestry University, 2005, 27(6): 9-13.

    退耕还林重点工程县立地分类定量化研究

    Quantitative study on the site classification of key county in the conversion of farmland to forestland

    • 摘要: 根据我国退耕还林工程的实际需要,该文采取植被因子与环境因子相结合的综合多因子途径,以Matlab为平台,运用层次分析法和系统聚类分析法(HCM),对6 105个小班进行了全面调查,共获取原始数据40 000多个.以内蒙古凉城县为例,对退耕还林重点工程县进行了定量化立地分类.结果表明,该县划分为5个立地类型组、19个立地类型,同时,建立了退耕还林立地分类体系和定量化方法,为促进退耕还林工程实现生态、社会、经济的协调发展提供了重要依据.

       

      Abstract: According to the need of the Conversion of Farmland to Forestland Programme(CFF), introducing Matlab,AHP,HCM and other latest theories and methodologies,based on(6 105) surveyed plots and over 40 000 original data obtained in the fields of natural science,social science and economics,by the combination of vegetation factors and environment factors,the site classification of key county was studied.The results showed that CFF comprised 5 site type groups,19 site types in Liangcheng County,Inner Mongolia.Meanwhile,site classification system and quantitative method were established in the paper and all of these provided important basis to promote corresponded development among ecological,economic and social benefits during CFF.

       

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