Suppr超能文献

针对人口结构波动的风险规避。

Bet Hedging against Demographic Fluctuations.

作者信息

Xue BingKan, Leibler Stanislas

机构信息

The Simons Center for Systems Biology, Institute for Advanced Study, Princeton, New Jersey 08540, USA.

Laboratory of Living Matter and Center for Studies in Physics and Biology, The Rockefeller University, New York, New York 10065, USA.

出版信息

Phys Rev Lett. 2017 Sep 8;119(10):108103. doi: 10.1103/PhysRevLett.119.108103.

Abstract

Biological organisms have to cope with stochastic variations in both the external environment and the internal population dynamics. Theoretical studies and laboratory experiments suggest that population diversification could be an effective bet-hedging strategy for adaptation to varying environments. Here we show that bet hedging can also be effective against demographic fluctuations that pose a trade-off between growth and survival for populations even in a constant environment. A species can maximize its overall abundance in the long term by diversifying into coexisting subpopulations of both "fast-growing" and "better-surviving" individuals. Our model generalizes statistical physics models of birth-death processes to incorporate dispersal, during which new populations are founded, and can further incorporate variations of local environments. In this way, we unify different bet-hedging strategies against demographic and environmental variations as a general means of adaptation to both types of uncertainties in population growth.

摘要

生物有机体必须应对外部环境和内部种群动态中的随机变化。理论研究和实验室实验表明,种群多样化可能是一种适应变化环境的有效避险策略。在这里,我们表明,即使在恒定环境中,避险策略对于应对种群增长与生存之间存在权衡的人口波动也可能是有效的。一个物种可以通过分化为“快速生长”和“生存能力更强”个体共存的亚种群,从长远来看使其总体丰度最大化。我们的模型将出生-死亡过程的统计物理模型进行了推广,以纳入扩散过程(在此过程中会形成新的种群),并且还可以进一步纳入局部环境的变化。通过这种方式,我们将针对人口和环境变化的不同避险策略统一起来,作为适应种群增长中这两种不确定性的一般手段。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验