The evolution of resource distribution, slow diffusion, and dispersal strategies in heterogeneous populations

被引:1
作者
Zahan, Ishrat [1 ]
Kamrujjaman, Md. [2 ]
Abdul Alim, Md. [1 ]
Islam, Md. Shahidul [2 ]
Khan, Taufiquar [3 ]
机构
[1] Bangladesh Univ Engn & Technol, Dept Math, Dhaka, Bangladesh
[2] Univ Dhaka, Dept Math, Dhaka, Bangladesh
[3] Univ North Carolina Charlotte, Dept Math & Stat, Charlotte, NC USA
关键词
resource-based diffusion; global analysis; competition; numerical analysis; slow diffusion; MODELS; DYNAMICS; COEXISTENCE; COMPETITION; SYSTEMS;
D O I
10.3389/fams.2023.1157992
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Population diffusion in river-ocean ecologies and for wild animals, including birds, mainly depends on the availability of resources and habitats. This study explores the dynamics of the resource-based competition model for two interacting species in order to investigate the spatiotemporal effects in a spatially distributed heterogeneous environment with no-flux boundary conditions. The main focus of this study is on the diffusion strategy, under conditions where the carrying capacity for two competing species is considered to be unequal. The same growth function is associated with both species, but they have different migration coefficients. The stability of global coexistence and quasi-trivial equilibria are also studied under different conditions with respect to resource function and carrying capacity. Furthermore, we investigate the case of competitive exclusion for various linear combinations of resource function and carrying capacity. Additionally, we extend the study to the instance where a higher migration rate negatively impacts population growth in competition. The efficacy of the model in the cases of one- and two-dimensional space is also demonstrated through a numerical study. AMS subject classification 201092D25, 35K57, 35K50, 37N25, 53C35.
引用
收藏
页数:20
相关论文
共 50 条
[41]   Optimal Network Architectures for Spatially Structured Populations with Heterogeneous Diffusion [J].
Ruiz-Herrera, Alfonso ;
Torres, Pedro J. .
AMERICAN NATURALIST, 2020, 196 (01) :29-44
[42]   The Effects of Diffusion Coefficients in a Two-Species Lotka-Volterra Competition System with Resource Dependent Dispersal [J].
Wang, Qi .
ACTA APPLICANDAE MATHEMATICAE, 2025, 195 (01)
[43]   Prey exploitation and dispersal strategies vary among natural populations of a predatory mite [J].
Revynthi, Alexandra M. ;
Egas, Martijn ;
Janssen, Arne ;
Sabelis, Maurice W. .
ECOLOGY AND EVOLUTION, 2018, 8 (21) :10384-10394
[44]   Cooperation Evolution in Multiplex Networks With the Heterogeneous Diffusion Model [J].
Yu, Jianyong ;
Liu, Zekun ;
Han, Xue .
IEEE ACCESS, 2021, 9 :86074-86082
[45]   Conditional natal dispersal provides a mechanism for populations tracking resource pulses after fire [J].
Stillman, Andrew N. ;
Lorenz, Teresa J. ;
Siegel, Rodney B. ;
Wilkerson, Robert L. ;
Johnson, Matthew ;
Tingley, Morgan W. .
BEHAVIORAL ECOLOGY, 2022, 33 (01) :27-36
[46]   The Evolution of Cooperation in Two-Dimensional Mobile Populations with Random and Strategic Dispersal [J].
Weishaar, Kyle ;
Erovenko, Igor V. .
GAMES, 2022, 13 (03)
[47]   Evolution in heterogeneous populations From migration models to fixation probabilities [J].
Vuilleumier, S. ;
Goudet, J. ;
Perrin, N. .
THEORETICAL POPULATION BIOLOGY, 2010, 78 (04) :250-258
[48]   Dispersal Evolution in the Presence of Allee Effects Can Speed Up or Slow Down Invasions [J].
Shaw, Allison K. ;
Kokko, Hanna .
AMERICAN NATURALIST, 2015, 185 (05) :631-639
[49]   Innovation Diffusion in Heterogeneous Populations: Contagion, Social Influence, and Social Learning [J].
Young, H. Peyton .
AMERICAN ECONOMIC REVIEW, 2009, 99 (05) :1899-1924
[50]   Optimization of control strategies for epidemics in heterogeneous populations with symmetric and asymmetric transmission [J].
Mbah, Martial L. Ndeffo ;
Gilligan, Christopher A. .
JOURNAL OF THEORETICAL BIOLOGY, 2010, 262 (04) :757-763