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植物研究 ›› 1996, Vol. 16 ›› Issue (1): 122-132.

• 论文 • 上一篇    下一篇

中国种子植物区系定量化研究-Ⅳ.应用模糊数学进行植物区系区划

左家哺1, 傅德志2, 廖仁彩1, 田伟政1   

  1. 1. 湖南林业专科学校, 湖南, 衡阳 421005;
    2. 中国科学院植物研究所标本馆, 北京 100093
  • 收稿日期:1995-08-01 出版日期:1996-03-15 发布日期:2016-06-14

QUANTITATIVE FLORISTICS-VI. ON THE FLORISTIC REGIONALIZATION BY THE METHOD OF FOZZY MATHEMATICS

Zuo Jia-fu1, Fu De-zhi2, Liao Ren-cai1, Tian Wei-zheng1   

  1. 1. Hunan Forestry Technical College, Hengyang 421005 Hunan;
    2. Herbarium, Institute of Botany Academia Sinica, Beijing 100093
  • Received:1995-08-01 Online:1996-03-15 Published:2016-06-14

摘要: 1.本文分析了植物区系区划研究的现状,定性分析有时将同一地区如台湾归为不同的植物区;或者应用数值(或数学)方法进行区系区划则所用信息量较少而简单。2.由于任一区系是植物界在长期的自然地理(特别是古地理)条件下尤其在植物物种(或居群)遗传变异对立统一综合作用下的产物,它是既相互联系又相互区别、既连续又间断的辨证统一的有机整体。所以,我们能应用模糊数学方法并借助于计算机来进行植物区系区划。3.本文确定了用于区系区划的7项数量指标,即区系丰富性、古老性、种系发育性、成分复杂性及特有性、植被类型以及生态地理等。4.通过以梵净山、"百里杜鹃"林区、宽阔水自然保护区、茂兰喀期特林区、雷公山、云南干热河谷、苗儿山及大别山等8个地点为例进行了区系区划。结果表明,模糊数学方法不仅能够完成植物区系区划,而且还能清楚地表明各区系单元的等级,区划结果与传统研究一致。

关键词: 定量区系学, 植物区系区划, 模糊数学

Abstract: 1.In the paper the histories and current situations of the floristic regionalization have been reviewed. The general mothod is perceptual analysis, that the same flora such as Taiw an is belonged to the different Kingdom sometimes (Good, 1974; Takhtajan, 1978; Wu, 1979; Wu & Wang, 1983)that the mathem atical (or numerical)methods apply the inforamational capacities which are very little and simple. 2.Because any flora is an organic entity of the dialectical unity which is the mutual contact and difference, mutual consecution and inconsecution, we can use method of fuzzy mathenatics with the help of the computer to divide the floras. 3.This pa-per determines 7 quantitative degrees, which are the floristic abundance, acientness and growth of speciation, the complex and endemicity of floristic elements, the vegetation -type and ecological geography, for the floristic regionalization by the method of fuzzy mathematics to study the floristic regionalization 4.Through the study of Fanjingshan Mountain, "Hundred Li Rhododendron" Forest Area, Kuankuoshui Nature Reserve, Maolan Krast Forest Area, Leigongshan Mountain, Yuanmou Dry -hot River Valley Miaoershan Mountain and Dabieshan Mountain and so forth 8 floras for example, the results of the floristic regionalization by the method fo fuzzy mathematics show that this method not only studies the floristic regionalization but also show clearly the grades every chorias, that it and classical study are the same.

Key words: Quantitaltive floristics, Floristic regionalization, Fuzzy mathematics