现象型多样性,人口增长,以及在波动的环境中的信息
Edo Kussell1, Stanislas Leibler
1Laboratory of Living Matter and Center for Studies in Physics and Biology, Rockefeller University, 1230 York Avenue, Box 34, New York, NY 10021-6399, USA. kussele@rockefeller.edu
概括
生物通过感知或随机切换来适应不断变化的环境. 随机切换对于不常见的环境变化是最优的,其速率与更好的生存相匹配的变化统计数据.
科学领域:
- 进化生物学是进化的生物学.
- 理论生态学的理论生态学.
- 人口动态 人口动态
背景情况:
- 生物面临着波动的环境,需要行为适应才能生存.
- 克隆群体利用感应和反应或随机的表型切换进行适应.
- 这些策略之间的权衡并未完全理解.
研究的目的:
- 为了确定何时随机现象型切换优于在波动的环境中感知.
- 为了确定适应环境变化的生物体的最佳切换速率.
- 建立生物体生长速度和环境信息之间的关系.
主要方法:
- 在波动的环境中对人口动态的数学建模.
- 适应性策略的分析:感知与随机切换.
- 基于环境变化统计的最佳切换率的推导.
主要成果:
- 当环境变化不频繁时,随机切换比传感更受青.
- 最佳的转换率与环境变化统计数据直接相关.
- 在长期增长率和环境信息之间得出了定量关系.
结论:
- 随机现象型切换是一种可行的,有时在波动的环境中优越的适应性策略.
- 环境的可预测性影响了克隆种群的最佳适应策略.
- 了解环境信息与生长率之间的联系对于预测生物的适应性至关重要.
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