Suppr超能文献

生物入侵进化过程的积分差分模型。

Integrodifference models for evolutionary processes in biological invasions.

机构信息

Institute of Theoretical Physics, São Paulo State University, São Paulo, SP, 01140-070, Brazil.

Department of Mathematics and Statistics, University of Ottawa, Ottawa, ON, K1N 6N5, Canada.

出版信息

J Math Biol. 2023 Jun 17;87(1):10. doi: 10.1007/s00285-023-01947-z.

Abstract

Individual variability in dispersal and reproduction abilities can lead to evolutionary processes that may have significant effects on the speed and shape of biological invasions. Spatial sorting, an evolutionary process through which individuals with the highest dispersal ability tend to agglomerate at the leading edge of an invasion front, and spatial selection, spatially heterogeneous forces of selection, are among the fundamental evolutionary forces that can change range expansions. Most mathematical models for these processes are based on reaction-diffusion equations, i.e., time is continuous and dispersal is Gaussian. We develop novel theory for how evolution shapes biological invasions with integrodifference equations, i.e., time is discrete and dispersal can follow a variety of kernels. Our model tracks how the distribution of growth rates and dispersal ability in the population changes from one generation to the next in continuous space. We include mutation between types and a potential trade-off between dispersal ability and growth rate. We perform the analysis of such models in continuous and discrete trait spaces, i.e., we determine the existence of travelling wave solutions, asymptotic spreading speeds and their linear determinacy, as well as the population distributions at the leading edge. We also establish the relation between asymptotic spreading speeds and mutation probabilities. We observe conditions for when spatial sorting emerges and when it does not and also explore conditions where anomalous spreading speeds occur, as well as possible effects of deleterious mutations in the population.

摘要

个体在扩散和繁殖能力上的差异可能会导致进化过程,这些过程可能对生物入侵的速度和形态产生重大影响。空间分选是一种进化过程,即具有最高扩散能力的个体倾向于在入侵前沿的前沿聚集;空间选择是一种空间异质的选择力,是能够改变范围扩张的基本进化力量之一。这些过程的大多数数学模型都是基于反应扩散方程,即时间是连续的,扩散是高斯的。我们利用积分微分方程发展了一种新的理论,即时间是离散的,扩散可以遵循多种核函数。我们的模型跟踪了种群中增长率和扩散能力的分布如何在下一个世代在连续空间中发生变化。我们包括了不同类型之间的突变和扩散能力与增长率之间的潜在权衡。我们在连续和离散特征空间中对这些模型进行了分析,即确定了传播波解的存在、渐近传播速度及其线性确定性,以及前沿的种群分布。我们还确定了渐近传播速度与突变概率之间的关系。我们观察了空间分选出现和不出现的条件,以及异常传播速度出现的条件,以及种群中有害突变的可能影响。

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