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Symmetric competition causes population oscillations in an individual-based model of forest dynamics

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  • Caplat, Paul
  • Anand, Madhur
  • Bauch, Chris

Abstract

Individual-based modelling is a promising tool for scaling from the individual to the population and community levels that allows a wide range of applied and theoretical approaches. Here, we explore how intra-specific competition affects population dynamics using FORSITE, an individual-based model describing tree–tree interactions in a spatial and stochastic context. We first describe FORSITE design and submodels following the ODD (Overview, Design concepts and Details) guideline for individual-based models. We then use simulation to study how competition symmetry (i.e., the way individual size affects resource partitioning) changes temporal and spatial population dynamics. We compare our results to those of an earlier deterministic (analytical) model of annual plants which found that (i) under asymmetric competition (i.e., advantaging tall individuals), population dynamics converge quickly to a stable equilibrium and (ii) under symmetric competition, some values of competition strength and population growth rate make population dynamics exhibit long-term oscillations. We find generally similar results, despite the existence of overlapping generations in trees. A thorough analysis of stage structures in the model allows us to explain this behaviour. We also show that decreasing tree dispersal distances, in the case of symmetric competition, results in a wave-like spatial pattern, caused by desynchronized sub-populations. Finally, we link the results obtained with FORSITE to different types of resource limitation observed in northern temperate and sub-boreal forests, emphasizing the implications of such difference on long-term biome dynamics. We note that FORSITE is a flexible platform that can be easily adapted for other ecological modelling studies.

Suggested Citation

  • Caplat, Paul & Anand, Madhur & Bauch, Chris, 2008. "Symmetric competition causes population oscillations in an individual-based model of forest dynamics," Ecological Modelling, Elsevier, vol. 211(3), pages 491-500.
    • Handle: RePEc:eee:ecomod:v:211:y:2008:i:3:p:491-500
    DOI: 10.1016/j.ecolmodel.2007.10.002
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    Citations

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    Cited by:

    1. Ngo-Hoang, Dai-Long, 2019. "A research paper of Hossein Sabzian (2019), Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners, ArXiv, 54p," AgriXiv xutyz, Center for Open Science.
    2. Mohd, Mohd Hafiz, 2019. "Diversity in interaction strength promotes rich dynamical behaviours in a three-species ecological system," Applied Mathematics and Computation, Elsevier, vol. 353(C), pages 243-253.
    3. Picard, Nicolas, 2021. "The role of spatial competitive interactions between trees in shaping forest patterns," Theoretical Population Biology, Elsevier, vol. 142(C), pages 36-45.
    4. Herberich, Maximiliane Marion & Gayler, Sebastian & Anand, Madhur & Tielbörger, Katja, 2017. "Hydrological niche segregation of plant functional traits in an individual-based model," Ecological Modelling, Elsevier, vol. 356(C), pages 14-24.
    5. Mohd, Mohd Hafiz & Murray, Rua & Plank, Michael J. & Godsoe, William, 2017. "Effects of biotic interactions and dispersal on the presence-absence of multiple species," Chaos, Solitons & Fractals, Elsevier, vol. 99(C), pages 185-194.
    6. Park, Junpyo, 2021. "Evolutionary dynamics in the rock-paper-scissors system by changing community paradigm with population flow," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    7. Kallimanis, A.S. & Petanidou, T. & Tzanopoulos, J. & Pantis, J.D. & Sgardelis, S.P., 2009. "Do plant–pollinator interaction networks result from stochastic processes?," Ecological Modelling, Elsevier, vol. 220(5), pages 684-693.
    8. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
    9. Barbosa, Lorena Oliveira & dos Santos, Juscelina Arcanjo & Gonçalves, Anny Francielly Ataide & Campoe, Otávio Camargo & Scolforo, José Roberto Soares & Scolforo, Henrique Ferraço, 2023. "Competition in forest plantations: Empirical and process-based modelling in pine and eucalypt plantations," Ecological Modelling, Elsevier, vol. 483(C).
    10. Anand, Madhur & Langille, Aaron, 2010. "A model-based method for estimating effective dispersal distance in tropical plant populations," Theoretical Population Biology, Elsevier, vol. 77(4), pages 219-226.
    11. Rossington, Kate & Benson, Thomas, 2020. "An agent-based model to predict fish collisions with tidal stream turbines," Renewable Energy, Elsevier, vol. 151(C), pages 1220-1229.
    12. Hossein Sabzian & Alireza Aliahmadi & Adel Azar & Madjid Mirzaee, 2018. "Economic inequality and Islamic Charity: An exploratory agent-based modeling approach," Papers 1804.09284, arXiv.org.
    13. Hossein Sabzian & Mohammad Ali Shafia & Ali Maleki & Seyeed Mostapha Seyeed Hashemi & Ali Baghaei & Hossein Gharib, 2019. "Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners," Papers 1901.08932, arXiv.org.
    14. Kočišová, J. & Horváth, D. & Brutovský, B., 2009. "The efficiency of individual optimization in the conditions of competitive growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3585-3592.

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