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Eigentler L, Sensi M. Delayed loss of stability of periodic travelling waves: Insights from the analysis of essential spectra. J Theor Biol 2024; 595:111945. [PMID: 39293636 DOI: 10.1016/j.jtbi.2024.111945] [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: 11/21/2023] [Revised: 06/26/2024] [Accepted: 09/07/2024] [Indexed: 09/20/2024]
Abstract
Periodic travelling waves (PTW) are a common solution type of partial differential equations. Such models exhibit multistability of PTWs, typically visualised through the Busse balloon, and parameter changes typically lead to a cascade of wavelength changes through the Busse balloon. In the past, the stability boundaries of the Busse balloon have been used to predict such wavelength changes. Here, motivated by anecdotal evidence from previous work, we provide compelling evidence that the Busse balloon provides insufficient information to predict wavelength changes due to a delayed loss of stability phenomenon. Using two different reaction-advection-diffusion systems, we relate the delay that occurs between the crossing of a stability boundary in the Busse balloon and the occurrence of a wavelength change to features of the essential spectrum of the destabilised PTW. This leads to a predictive framework that can estimate the order of magnitude of such a time delay, which provides a novel "early warning sign" for pattern destabilisation. We illustrate the implementation of the predictive framework to predict under what conditions a wavelength change of a PTW occurs.
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Affiliation(s)
- Lukas Eigentler
- Evolutionary Biology Department, Universität Bielefeld, Konsequenz 45, 33615 Bielefeld, Germany; Warwick Mathematics Institute, University of Warwick, Coventry CV4 7AL, United Kingdom; Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry CV4 7AL, United Kingdom.
| | - Mattia Sensi
- Department of Mathematical Sciences "G. L. Lagrange", Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
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2
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Wang C, Wang H, Yuan S. Precipitation governing vegetation patterns in an arid or semi-arid environment. J Math Biol 2023; 87:22. [PMID: 37395848 DOI: 10.1007/s00285-023-01954-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 05/15/2023] [Accepted: 06/15/2023] [Indexed: 07/04/2023]
Abstract
In an arid or semi-arid environment, precipitation plays a vital role in vegetation growth. Recent researches reveal that the response of vegetation growth to precipitation has a lag effect. To explore the mechanism behind the lag phenomenon, we propose and investigate a water-vegetation model with spatiotemporal nonlocal effects. It is shown that the temporal kernel function does not affect Turing bifurcation. For better understanding the influences of lag effect and nonlocal competition on the vegetation pattern formation, we choose some special kernel functions and obtain some insightful results: (i) Time delay does not trigger the vegetation pattern formation, but can postpone the evolution of vegetation. In addition, in the absence of diffusion, time delay can induce the occurrence of stability switches, while in the presence of diffusion, spatially nonhomogeneous time-periodic solutions may emerge, but there are no stability switches; (ii) The spatial nonlocal interaction may trigger the pattern onset for small diffusion ratio of water and vegetation, and can change the number and size of isolated vegetation patches for large diffusion ratio. (iii) The interaction between time delay and spatial nonlocal competition may induce the emergence of traveling wave patterns, so that the vegetation remains periodic in space, but is oscillating in time. These results demonstrate that precipitation can significantly affect the growth and spatial distribution of vegetation.
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Affiliation(s)
- Cuihua Wang
- University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China
| | - Hao Wang
- Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB, T6G2G1, Canada
| | - Sanling Yuan
- University of Shanghai for Science and Technology, Shanghai, 200093, People's Republic of China.
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3
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Andreguetto Maciel G, Martinez-Garcia R. Enhanced species coexistence in Lotka-Volterra competition models due to nonlocal interactions. J Theor Biol 2021; 530:110872. [PMID: 34425135 DOI: 10.1016/j.jtbi.2021.110872] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 07/13/2021] [Accepted: 08/15/2021] [Indexed: 11/19/2022]
Abstract
We introduce and analyze a spatial Lotka-Volterra competition model with local and nonlocal interactions. We study two alternative classes of nonlocal competition that differ in how each species' characteristics determine the range of the nonlocal interactions. In both cases, nonlocal interactions can create spatial patterns of population densities in which highly populated clumps alternate with unpopulated regions. These non-populated regions provide spatial niches for a weaker competitor to establish in the community and persist in conditions in which local models predict competitive exclusion. Moreover, depending on the balance between local and nonlocal competition intensity, the clumps of the weaker competitor vary from M-like structures with higher densities of individuals accumulating at the edges of each clump to triangular structures with most individuals occupying their centers. These results suggest that long-range competition, through the creation of spatial patterns in population densities, might be a key driving force behind the rich diversity of species observed in natural ecological communities.
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Affiliation(s)
- Gabriel Andreguetto Maciel
- ICTP South American Institute for Fundamental Research & Instituto de Física Teórica, Universidade Estadual Paulista - UNESP, Rua Dr. Bento Teobaldo Ferraz 271, Bloco 2 - Barra Funda, 01140-070 São Paulo, SP, Brazil
| | - Ricardo Martinez-Garcia
- ICTP South American Institute for Fundamental Research & Instituto de Física Teórica, Universidade Estadual Paulista - UNESP, Rua Dr. Bento Teobaldo Ferraz 271, Bloco 2 - Barra Funda, 01140-070 São Paulo, SP, Brazil.
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Rietkerk M, Bastiaansen R, Banerjee S, van de Koppel J, Baudena M, Doelman A. Evasion of tipping in complex systems through spatial pattern formation. Science 2021; 374:eabj0359. [PMID: 34618584 DOI: 10.1126/science.abj0359] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Max Rietkerk
- Copernicus Institute of Sustainable Development, Utrecht University, 3508 TC, Utrecht, Netherlands
| | - Robbin Bastiaansen
- Department of Physics, Institute for Marine and Atmospheric Research Utrecht, Utrecht University, 3508 TA, Utrecht, Netherlands
| | - Swarnendu Banerjee
- Copernicus Institute of Sustainable Development, Utrecht University, 3508 TC, Utrecht, Netherlands.,The Institute of Mathematical Sciences, CIT Campus, Taramani, Chennai 600113, India.,Indian Statistical Institute, Agricultural and Ecological Research Unit, Kolkata 700108, India
| | - Johan van de Koppel
- Department of Estuarine and Delta Systems, Royal Netherlands Institute for Sea Research, 4400 AC, Yerseke, Netherlands.,Groningen Institute for Evolutionary Life Sciences, Conservation Ecology Group, University of Groningen, 9700 CC, Groningen, Netherlands
| | - Mara Baudena
- Copernicus Institute of Sustainable Development, Utrecht University, 3508 TC, Utrecht, Netherlands.,National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), 10133 Torino, Italy
| | - Arjen Doelman
- Mathematical Institute, Leiden University, 2300 RA, Leiden, Netherlands
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Guill C, Hülsemann J, Klauschies T. Self-organised pattern formation increases local diversity in metacommunities. Ecol Lett 2021; 24:2624-2634. [PMID: 34558161 DOI: 10.1111/ele.13880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 05/12/2021] [Accepted: 07/15/2021] [Indexed: 11/28/2022]
Abstract
Self-organised formation of spatial patterns is known from a variety of different ecosystems, yet little is known about how these patterns affect the diversity of communities. Here, we use a food chain model in which autotroph diversity is described by a continuous distribution of a trait that affects both growth and defence against heterotrophs. On isolated patches, diversity is always lost over time due to stabilising selection, and the local communities settle on one of two alternative stable community states that are characterised by a dominance of either defended or undefended species. In a metacommunity context, dispersal can destabilise these states and complex spatio-temporal patterns in the species' abundances emerge. The resulting biomass-trait feedback increases local diversity by an order of magnitude compared to scenarios without self-organised pattern formation, thereby maintaining the ability of communities to adapt to potential future changes in biotic or abiotic environmental conditions.
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Affiliation(s)
- Christian Guill
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Janne Hülsemann
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Toni Klauschies
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
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Belowground feedbacks as drivers of spatial self-organization and community assembly. Phys Life Rev 2021; 38:1-24. [PMID: 34334324 DOI: 10.1016/j.plrev.2021.07.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 07/12/2021] [Indexed: 02/03/2023]
Abstract
Vegetation patterning in water-limited and other resource-limited ecosystems highlights spatial self-organization processes as potentially key drivers of community assembly. These processes provide insight into predictable landscape-level relationships between organisms and their abiotic environment in the form of regular and irregular patterns of biota and resources. However, two aspects have largely been overlooked; the roles played by plant - soil-biota feedbacks and allelopathy in spatial self-organization, and their potential contribution, along with plant-resource feedbacks, to community assembly through spatial self-organization. Here, we expand the drivers of spatial self-organization from a focus on plant-resource feedbacks to include plant - soil-biota feedbacks and allelopathy, and integrate concepts of nonlinear physics and community ecology to generate a new hypothesis. According to this hypothesis, below-ground processes can affect community assemblages through two types of spatial self-organization, global and local. The former occurs simultaneously across whole ecosystems, leading to self-organized patterns of biota, allelochemicals and resources, and niche partitioning. The latter occurs locally in ecotones, and determines ecotone structure and motion, invasion dynamics, and species coexistence. Studies of the two forms of spatial self-organization are important for understanding the organization of plant communities in drier climates which are likely to involve spatial patterning or re-patterning. Such studies are also important for developing new practices of ecosystem management, based on local manipulations at ecotones, to slow invasion dynamics or induce transitions from transitive to intransitive networks of interspecific interactions which increase species diversity.
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Eigentler L. Species coexistence in resource‐limited patterned ecosystems is facilitated by the interplay of spatial self‐organisation and intraspecific competition. OIKOS 2021. [DOI: 10.1111/oik.07880] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- L. Eigentler
- Division of Molecular Microbiology, School of Life Sciences, Univ. of Dundee Dundee UK
- Maxwell Inst. for Mathematical Sciences, Dept of Mathematics, Heriot‐Watt Univ. Edinburgh UK
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Eigentler L. Intraspecific competition in models for vegetation patterns: Decrease in resilience to aridity and facilitation of species coexistence. ECOLOGICAL COMPLEXITY 2020. [DOI: 10.1016/j.ecocom.2020.100835] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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