三种数值方法在几种六道木分类中的应用

中国科学院大学学报

三种数值方法在几种六道木分类中的应用

胡嘉琪, 朱明远, 许自省

(复旦大学)

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:1982-11-18 发布日期:1982-11-18
通讯作者: 胡嘉琪

Three numerical approaches to the classification of Chinese species of genus Abelia

Hu Chia-Ch'i, Chu Ming-Yuan, Shu Tzu-Sheng

(Fudan University)

Received:1900-01-01 Revised:1900-01-01 Online:1982-11-18 Published:1982-11-18
Contact: Hu Chia-Ch'i

摘要/Abstract

Abstract:

In the last 10—20 years there has bee n increasing awareness of the problem con-

cerning the aims and practices of taxonomy. In particular, there has been growing

interest in the development of numerical methods in biological taxonomy as an aid to

making systematics a quantitative science, a step which comes in time to almost every

scientific discipline.

Numerical taxonomy is the evaluation by numerical methods of the affinity or

similarity between taxonomic units and the employment of these affinities in erecting

a hierarchic order of taxa. The present rapid development of these ideas is presuma-

bly a result of the development of computer techniques.

Numerical taxonomic approach has been applied to the studies of entomology and

microbiology in China to some extent since 1975. But so far it hasn’t been commonly

used in botany. The present report is a preliminary study on 9 spp. of the genus

Abelia. A set of binary data with 54 characters is used for computing association

coefficient; and a set of quantitative data with 47 characters for distance coefficient

and correlation coefficient. For the mathematical models were chosen the non-metric

simple matching association coefficient, the geometrical distance of Riemannian space

and correlation coefficient. Computational procedures are stepwise presented in detail

and computer programmes are written in the background of Algol-60 language. Cluster analysis is compared with simple linkage, average linkage and multi-correlation.

The results of DC and CC for 9 spp. of Abelia agree closely with the traditional

taxonomy, because the data we collected mainly come from morphological characters.

It would seem that the results of quantita tive data are more appropriate for seed

plants. It is, therefore, postulated that our programes are complementary and very

useful to a wide range of classification entities, such as microbes, animals and plants

in present situation in China.

In conclusion, a comparison between the conventional taxonomy and numerical

taxonomy has been made, and a brief discussion of three problems, i.e. the monothetic

versus polythetic, divisive versus agglomerative, weighting versus unweighting.

胡嘉琪, 朱明远, 许自省. 三种数值方法在几种六道木分类中的应用[J]. 中国科学院大学学报.

Hu Chia-Ch'i, Chu Ming-Yuan, Shu Tzu-Sheng. Three numerical approaches to the classification of Chinese species of genus Abelia[J]. .