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Jorba-Cuscó M, Oliva-Zúniga RI, Sardanyés J, Pérez-Palau D. Optimal dispersal and diffusion-enhanced robustness in two-patch metapopulations: origin's saddle-source nature matters. Theory Biosci 2024; 143:79-95. [PMID: 38383684 PMCID: PMC10904506 DOI: 10.1007/s12064-023-00411-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 12/26/2023] [Indexed: 02/23/2024]
Abstract
A two-patch logistic metapopulation model is investigated both analytically and numerically focusing on the impact of dispersal on population dynamics. First, the dependence of the global dynamics on the stability type of the full extinction equilibrium point is tackled. Then, the behaviour of the total population with respect to the dispersal is studied analytically. Our findings demonstrate that diffusion plays a crucial role in the preservation of both subpopulations and the full metapopulation under the presence of stochastic perturbations. At low diffusion, the origin is a repulsor, causing the orbits to flow nearly parallel to the axes, risking stochastic extinctions. Higher diffusion turns the repeller into a saddle point. Orbits then quickly converge to the saddle's unstable manifold, reducing extinction chances. This change in the vector field enhances metapopulation robustness. On the other hand, the well-known fact that asymmetric conditions on the patches is beneficial for the total population is further investigated. This phenomenon has been studied in previous works for large enough or small enough values of the dispersal. In this work, we complete the theory for all values of the dispersal. In particular, we derive analytically a formula for the optimal value of the dispersal that maximizes the total population.
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Affiliation(s)
- Marc Jorba-Cuscó
- Centre de Recerca Matemàtica. Edifici C, Campus de Bellaterra, 08193, Cerdanyola del Vallès, Spain.
- Departament de Matemàtiques, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain.
| | - Ruth I Oliva-Zúniga
- Universidad Nacional Autónoma de Honduras en el Valle de Sula (UNAH-VS), Boulevard UNAH-VS 21102, San Pedro Sula, Honduras
| | - Josep Sardanyés
- Centre de Recerca Matemàtica. Edifici C, Campus de Bellaterra, 08193, Cerdanyola del Vallès, Spain.
| | - Daniel Pérez-Palau
- Escuela Superior de Ingeniería y Tecnología, Universidad Internacional de la Rioja, Av. La Paz 137, 26006, Logroño, Spain
- Departament de Matemàtiques, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain
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Grumbach C, Reurik FN, Segura J, Franco D, Hilker FM. The effect of dispersal on asymptotic total population size in discrete- and continuous-time two-patch models. J Math Biol 2023; 87:60. [PMID: 37733146 PMCID: PMC10514157 DOI: 10.1007/s00285-023-01984-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 06/04/2023] [Accepted: 08/09/2023] [Indexed: 09/22/2023]
Abstract
Many populations occupy spatially fragmented landscapes. How dispersal affects the asymptotic total population size is a key question for conservation management and the design of ecological corridors. Here, we provide a comprehensive overview of two-patch models with symmetric dispersal and two standard density-dependent population growth functions, one in discrete and one in continuous time. A complete analysis of the discrete-time model reveals four response scenarios of the asymptotic total population size to increasing dispersal rate: (1) monotonically beneficial, (2) unimodally beneficial, (3) beneficial turning detrimental, and (4) monotonically detrimental. The same response scenarios exist for the continuous-time model, and we show that the parameter conditions are analogous between the discrete- and continuous-time setting. A detailed biological interpretation offers insight into the mechanisms underlying the response scenarios that thus improve our general understanding how potential conservation efforts affect population size.
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Affiliation(s)
- Carolin Grumbach
- Institute of Mathematics and Institute of Environmental Systems Research, Osnabrück University, Barbarastraße 12, 49076 Osnabrück, Germany
| | - Femke N. Reurik
- Institute of Mathematics and Institute of Environmental Systems Research, Osnabrück University, Barbarastraße 12, 49076 Osnabrück, Germany
| | - Juan Segura
- Department of Finance & Management Control, EADA Business School, c/ Aragó 204, 08011 Barcelona, Spain
| | - Daniel Franco
- Department of Applied Mathematics, UNED, c/ Juan del Rosal 12, 28040 Madrid, Spain
| | - Frank M. Hilker
- Institute of Mathematics and Institute of Environmental Systems Research, Osnabrück University, Barbarastraße 12, 49076 Osnabrück, Germany
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Ruiz-Herrera A. The role of the spatial topology in trophic metacommunities: Species with reduced mobility and total population size. J Theor Biol 2023; 566:111479. [PMID: 37075827 DOI: 10.1016/j.jtbi.2023.111479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 02/10/2023] [Accepted: 03/24/2023] [Indexed: 04/21/2023]
Abstract
A central question in ecology is understanding the influence of the spatial topology on the dynamics of a metacommunity. This is not an easy task, as most fragmented ecosystems have trophic interactions involving many species and patches. Recent attempts to solve this challenge have introduced certain simplifying assumptions or focused on a limited set of examples. These simplifications make the models mathematically tractable but keep away from real-world problems. In this paper, we provide a novel methodology to describe the influence of the spatial topology on the total population size of the species when the dispersal rates are small. The main conclusion is that the influence of the spatial topology is the result of the influence of each path in isolation. Here, a path refers to a pairwise connection between two patches. Our framework can be readily used with any metacommunity, and therefore represents a unification of biological insights. We also discuss several applications regarding the construction of ecological corridors.
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Wu H, Wang Y. Dynamics of Competitive Systems with Diffusion Between Source-Sink Patches. Bull Math Biol 2021; 83:49. [PMID: 33765224 DOI: 10.1007/s11538-021-00885-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 03/08/2021] [Indexed: 11/27/2022]
Abstract
This paper considers two-species competitive systems with one-species' diffusion between patches. Each species can persist alone in the corresponding patch (a source), while the mobile species cannot survive in the other (a sink). Using the method of monotone dynamical systems, we give a rigorous analysis on persistence of the system, prove local/global stability of the equilibria and show new types of bi-stability. These results demonstrate that diffusion could lead to results reversing those without diffusion, which extend the principle of competitive exclusion: Diffusion could lead to persistence of the mobile competitor in the sink, make it reach total abundance larger than if non-diffusing and even exclude the opponent. The total abundance is shown to be a distorted function (surface) of diffusion rates, which extends both previous theory and experimental observations. A novel strategy of diffusion is deduced in which the mobile competitor could drive the opponent into extinction, and then approach the maximal abundance. Initial population density and diffusive asymmetry play a role in the competition. Our work has potential applications in biodiversity conservation and economic competition.
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Affiliation(s)
- Hong Wu
- School of Mathematics, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Yuanshi Wang
- School of Mathematics, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
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Huang R, Wang Y, Wu H. Population abundance in predator–prey systems with predator’s dispersal between two patches. Theor Popul Biol 2020; 135:1-8. [DOI: 10.1016/j.tpb.2020.06.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 06/22/2020] [Accepted: 06/29/2020] [Indexed: 11/17/2022]
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Wang Y, Wu H, He Y, Wang Z, Hu K. Population abundance of two-patch competitive systems with asymmetric dispersal. J Math Biol 2020; 81:315-341. [PMID: 32572557 DOI: 10.1007/s00285-020-01511-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 05/22/2020] [Indexed: 11/24/2022]
Abstract
This paper considers two-species competitive systems with two patches, in which one of the species can move between the patches. One patch is a source where each species can persist alone, but the other is a sink where the mobile species cannot survive. Based on rigorous analysis on the model, we show global stability of equilibria and bi-stability in the first octant Int[Formula: see text]. Then total population abundance of each species is explicitly expressed as a function of dispersal rates, and the function of the mobile species displays a distorted surface, which extends previous theory. A novel prediction of this work is that appropriate dispersal could make each competitor approach total population abundance larger than if non-dispersing, while the dispersal could reverse the competitive results in the absence of dispersal and promote coexistence of competitors. It is also shown that intermediate dispersal is favorable, large or small one is not good, while extremely large or small dispersal will result in extinction of species. These results are important in ecological conservation and management.
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Affiliation(s)
- Yuanshi Wang
- School of Mathematics, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
| | - Hong Wu
- School of Mathematics, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Yiyang He
- School of Mathematics, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Zhihui Wang
- School of Mathematics, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Kun Hu
- School of Mathematics, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
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Ruiz-Herrera A, Torres PJ. Optimal Network Architectures for Spatially Structured Populations with Heterogeneous Diffusion. Am Nat 2020; 196:29-44. [PMID: 32552100 DOI: 10.1086/708806] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The motivation of this article is to derive new management guidelines to maximize the overall population size using popular management and conservation strategies, such as protected marine areas and ecological corridors. These guidelines are based on the identification of the network architectures for which the total population size is maximized. Describing the biological roles of the typical network variables in the fate of the population is a classic problem with many practical applications. This article suggests that the optimal network architecture relies heavily on the degree of mobility of the population. The recommended network architecture for populations with reduced mobility (in the absence of cost of dispersal and landscapes made up of many sources) is a graph with a patch that has routes toward any other patch with a lower growth rate. However, for highly mobile populations there are many possible network architectures for which the total population size is maximized (e.g., any cyclic graph). We have paid special attention to species with symmetric movement in heterogeneous landscapes. A striking result is that the network architecture does not have any influence on the total population size for highly mobile populations when any pair of different patches can be connected by a sequence of paths.
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Wu H, Wang Y, Li Y, DeAngelis DL. Dispersal asymmetry in a two-patch system with source-sink populations. Theor Popul Biol 2019; 131:54-65. [PMID: 31778710 DOI: 10.1016/j.tpb.2019.11.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 10/18/2019] [Accepted: 11/15/2019] [Indexed: 11/26/2022]
Abstract
This paper analyzes source-sink systems with asymmetric dispersal between two patches. Complete analysis on the models demonstrates a mechanism by which the dispersal asymmetry can lead to either an increased total size of the species population in two patches, a decreased total size with persistence in the patches, or even extinction in both patches. For a large growth rate of the species in the source and a fixed dispersal intensity, (i) if the asymmetry is small, the population would persist in both patches and reach a density higher than that without dispersal, in which the population approaches its maximal density at an appropriate asymmetry; (ii) if the asymmetry is intermediate, the population persists in both patches but reaches a density less than that without dispersal; (iii) if the asymmetry is large, the population goes to extinction in both patches; (iv) asymmetric dispersal is more favorable than symmetric dispersal under certain conditions. For a fixed asymmetry, similar phenomena occur when the dispersal intensity varies, while a thorough analysis is given for the low growth rate of the species in the source. Implications for populations in heterogeneous landscapes are discussed, and numerical simulations confirm and extend our results.
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Affiliation(s)
- Hong Wu
- School of Mathematics, Sun Yat-sen University, Guangzhou 510275, PR China
| | - Yuanshi Wang
- School of Mathematics, Sun Yat-sen University, Guangzhou 510275, PR China.
| | - Yufeng Li
- School of Mathematics, Sun Yat-sen University, Guangzhou 510275, PR China
| | - Donald L DeAngelis
- U.S. Geological Survey, Wetland and Aquatic Research Center, Gainesville, FL 32653, USA
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Wang Y. Pollination-mutualisms in a two-patch system with dispersal. J Theor Biol 2019; 476:51-61. [DOI: 10.1016/j.jtbi.2019.06.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 06/01/2019] [Accepted: 06/04/2019] [Indexed: 11/17/2022]
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