...
首页> 外文期刊>Journal of Theoretical Biology >Population Dynamics of Clock-Controlled Biological Species: Models and Why Circadian Rhythms are Circadian.
【24h】

Population Dynamics of Clock-Controlled Biological Species: Models and Why Circadian Rhythms are Circadian.

机译:时钟控制生物物种的种群动态:模型以及昼夜节律为何是昼夜节律。

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Conventional models of population dynamics of biological species do not take into account the fact that activity of most living organisms is under control of biological clocks, which are oscillators with periods near 1 day, 1 year, and so on. Here proposed are new categories of population dynamics models which are combinations of Lotka-Volterra type of equations (as a simplest example; in fact, an arbitrary type may be used) and equations of the biological oscillators. Such models may be particularly useful in addressing to those problems which are inaccessible with conventional models. A simple example of such models with distributed clock periods is proposed and studied numerically and analytically to consider why periods of biological rhythms are not precisely one day or one year, etc., as is often questioned. For this purpose, a notion of survival index is introduced to measure the degree of success in survival. It turns out that clock periods equal or close to that of the milieu are not necessarily advantageous for survival and can even lead to extinction; survival is then most successful at the edge of entrainment. This may provide a clue to answer the question. It is also found that survival is difficult for those species which cannot be entrained by the environmental cycle.
机译:传统的生物物种种群动态模型没有考虑到大多数活生物体的活动受生物钟控制的事实,生物钟是周期接近1天,1年等的振荡器。这里提出的是种群动态模型的新类别,它们是Lotka-Volterra类型的方程(作为最简单的示例;实际上,可以使用任意类型)和生物振荡器方程的组合。这样的模型对于解决常规模型无法解决的那些问题可能特别有用。提出并给出了这种具有分布式时钟周期的模型的简单示例,并对其进行了数值和分析研究,以考虑为什么人们经常质疑生物节律周期不是精确地是一天还是一年等。为此,引入了生存指数的概念来衡量生存的成功程度。事实证明,等于或接近环境的时钟周期不一定对生存有利,甚至可能导致灭绝。这样,在夹带的边缘,生存才是最成功的。这可能提供答案的线索。还发现,对于那些不能被环境循环带走的物种而言,其生存是困难的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号