Applied Mathematics and Mechanics (English Edition) ›› 1991, Vol. 12 ›› Issue (7): 647-653.

• 论文 • 上一篇    下一篇

STUDY ON THE COMPLICATED DYNAMICAL BEHAVIORS OF NONLINEAR ECOSYSTEMS (III)

昝廷全, 刘宗超   

  1. Lanzhou University, Lanzhou
  • 收稿日期:1990-08-20 出版日期:1991-07-18 发布日期:1991-07-18
  • 通讯作者: Wu Xue-mou
  • 基金资助:
    Supported by the Youth Fund of Chinese Academy of Science;the Youth Fund of Lanzhou University

STUDY ON THE COMPLICATED DYNAMICAL BEHAVIORS OF NONLINEAR ECOSYSTEMS (III)

Zan Ting-quan, Liu Zong-chao   

  1. Lanzhou University, Lanzhou
  • Received:1990-08-20 Online:1991-07-18 Published:1991-07-18
  • Supported by:
    Supported by the Youth Fund of Chinese Academy of Science;the Youth Fund of Lanzhou University

摘要: This paper is a continuous study of references [1-2]. At first, we introduce the concept of assembles of ecosystems, and then discuss macro- and micro-synergetical methods for ecology study. Combining the two methods, by use of the macroscopic data (observable) outputted from the ecosystems, we can construct their GGLE, master their information changes between, before and after the generalized phase changes (e.g. community successions), and find out the action mechanisms of microscopic factors on macroscopic results. This may be a new approach to the study of action mechanisms of complex ecosystems.

关键词: ecosystems, nonlinearity, assemble, attractor, information, synergetics

Abstract: This paper is a continuous study of references [1-2]. At first, we introduce the concept of assembles of ecosystems, and then discuss macro- and micro-synergetical methods for ecology study. Combining the two methods, by use of the macroscopic data (observable) outputted from the ecosystems, we can construct their GGLE, master their information changes between, before and after the generalized phase changes (e.g. community successions), and find out the action mechanisms of microscopic factors on macroscopic results. This may be a new approach to the study of action mechanisms of complex ecosystems.

Key words: ecosystems, nonlinearity, assemble, attractor, information, synergetics

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