摘要
森林立地分类是林业生产的重要基础。林业发达国家对此都相继开展了深入细致的研究,许多研究成果已在林业实践中发挥了重要作用。我国森林立地分类研究始于50年代,其间几经中断,近年来又日益受到重视,在“七五”期间被列为国家科技重点(攻关)项目。无疑,这对我国林业现代化将起到重要的推动作用。森林立地分类与评价的方法各异,流派众多,对此作者曾有详细的评介。
In this paper, multivariate statistics analysis is used to create a numerical approach for the classification of forest site. This approach makes the well-known Bogelebnek's site Grid Maps become quantitative. Forest sites on the southern slope of the Purple Mountain are classified into 8 major types, each corresponds a definite range of nutrient and water scores. The probability of errorous differentiation is only 9.7%, representing the high accuracy of the 8 site types classified with numerical classification method.
出处
《生态学杂志》
CAS
CSCD
北大核心
1989年第5期4-9,共6页
Chinese Journal of Ecology
关键词
森林立地
数值分类
紫金山
forest site, site type, numerical classification, multivariate statistics analysis, the Purple Mountain.
