摘要翻译:
大多数种群模型假设给定种群内的个体是相同的,也就是说,忽略了变异的基本作用。人口和社区的不均匀模型允许出生率和死亡率因个人而异;最近研究了这类模型解的存在性和渐近性定理。在这里,我们发展了另一种方法,通过将模型简化为一个特殊的ODES系统的柯西问题来建模异质种群。结果表明,总体规模和向量参数的当前分布可以用显式的解析形式找到或有效地计算。将该方法推广到非均质社区模型中。
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英文标题:
《Dynamics of Heterogeneous Populations and Communities and Evolution of
Distributions》
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作者:
Georgy P. Karev
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最新提交年份:
2005
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分类信息:
一级分类:Quantitative Biology 数量生物学
二级分类:Populations and Evolution 种群与进化
分类描述:Population dynamics, spatio-temporal and epidemiological models, dynamic speciation, co-evolution, biodiversity, foodwebs, aging; molecular evolution and phylogeny; directed evolution; origin of life
种群动力学;时空和流行病学模型;动态物种形成;协同进化;生物多样性;食物网;老龄化;分子进化和系统发育;定向进化;生命起源
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一级分类:Quantitative Biology 数量生物学
二级分类:Other Quantitative Biology 其他定量生物学
分类描述:Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要:
Most population models assume that individuals within a given population are identical, that is, the fundamental role of variation is ignored. Inhomogeneous models of populations and communities allow for birth and death rates to vary among individuals; recently, theorems of existence and asymptotic of solutions of such models were investigated. Here we develop another approach to modeling heterogeneous populations by reducing the model to the Cauchy problem for a special system of ODEs. As a result, the total population size and current distribution of the vector-parameter can be found in explicit analytical form or computed effectively. The developed approach is extended to the models of inhomogeneous communities.
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PDF链接:
https://arxiv.org/pdf/q-bio/0507028