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Information Entropy Measures for Stand Structural Diversity:Joint Entropy

Lei Xiangdong Lu Yuanchang

中国林学(英文版)2004,Vol.6Issue(2):12-15,4.
中国林学(英文版)2004,Vol.6Issue(2):12-15,4.

Information Entropy Measures for Stand Structural Diversity:Joint Entropy

Information Entropy Measures for Stand Structural Diversity:Joint Entropy

Lei Xiangdong 1Lu Yuanchang1

作者信息

  • 1. Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,P. R. China
  • 折叠

摘要

Abstract

Structural diversity is the key attribute of a stand. A set of biodiversity measures in ecology was introduced in forest management for describing stand structure, of which Shannon information entropy (Shannon index) has been the most widely used measure of species diversity. It is generally thought that tree size diversity could serve as a good proxy for height diversity. However, tree size diversity and height diversity for stand structure is not completely consistent. Stand diameter cannot reflect height information completely. Either tree size diversity or height diversity is one-dimensional information entropy measure. This paper discussed the method of multiple-dimensional information entropy measure with the concept of joint entropy. It is suggested that joint entropy is a good measure for describing overall stand structural diversity.

关键词

stand structural diversity/Shannon index/joint entropy/conditional entropy

Key words

stand structural diversity/Shannon index/joint entropy/conditional entropy

引用本文复制引用

Lei Xiangdong,Lu Yuanchang..Information Entropy Measures for Stand Structural Diversity:Joint Entropy[J].中国林学(英文版),2004,6(2):12-15,4.

基金项目

Supported by National Natural Science Foundation of China (Grant No. 30371157) (Grant No. 30371157)

中国林学(英文版)

2095-6355

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