文献详情
EVOLUTIONARILY STABLE DISPERSAL STRATEGIES IN A TWO-PATCH ADVECTIVE ENVIRONMENT
文献类型：期刊
通讯作者：Fang, YH (reprint author), Renmin Univ China, Inst Math Sci, Beijing 100872, Peoples R China.
期刊名称：DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B影响因子和分区
年：2019
卷：24
期：4
页码：1875-1887
ISSN：1531-3492
关键词：Evolution of dispersal; patch model; advective environment; evolutionarily stable strategy
所属部门：数学科学研究院
摘要：Two-patch models are used to mimic the unidirectional movement of organisms in continuous, advective environments. We assume that species can move between two patches, with patch 1 as the upper stream patch and patch 2 as the downstream patch. Species disperse between two patches with the same rate, and species in patch 1 is transported to patch 2 by drift, but not vice versa. We also mimic no-flux boundary conditions at the upstream and zero Dirichlet boundary conditions at the downstream. The ...More
Two-patch models are used to mimic the unidirectional movement of organisms in continuous, advective environments. We assume that species can move between two patches, with patch 1 as the upper stream patch and patch 2 as the downstream patch. Species disperse between two patches with the same rate, and species in patch 1 is transported to patch 2 by drift, but not vice versa. We also mimic no-flux boundary conditions at the upstream and zero Dirichlet boundary conditions at the downstream. The criteria for the persistence of a single species is established. For two competing species model, we show that there is an intermediate dispersal rate which is evolutionarily stable. These results support the conjecture in [6], initially proposed for reaction-diffusion models with continuous advective environments. ...Hide

DOI：10.3934/dcdsb.2018245
百度学术：EVOLUTIONARILY STABLE DISPERSAL STRATEGIES IN A TWO-PATCH ADVECTIVE ENVIRONMENT
语言：外文
基金：Research Foundation of Education Bureau of Shaanxi Province [15JK1433]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [11571364]
作者其他论文



暂无数据...