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INSTAR: An Agent-Based Model that integrates existing knowledge to simulate the population dynamics of a forest pest

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  • Suárez-Muñoz, María
  • Bonet-García, Francisco
  • Hódar, José A.
  • Herrero, Javier
  • Tanase, Mihai
  • Torres-Muros, Lucía

Abstract

Pine plantations, very common in the Mediterranean basin, are recurrently affected by forest pests due to intrinsic characteristics (high density, low spatial heterogeneity) and external factors (consistent trend towards a warmer and drier climate). INSTAR is an Agent-Based Model aiming to simulate the population dynamics of the Thaumetopoea pityocampa forest pest. The model has been designed using a modular approach: several interconnected modules (submodels) facilitate the incorporation of new knowledge about the pest biology and can serve as template for the design of other similar models. The model is spatially and temporally explicit and allows its implementation under different climate and land use scenarios. INSTAR is described in detail in this manuscript using the standardized ODD (Overview, Design concepts and Details) protocol.

Suggested Citation

  • Suárez-Muñoz, María & Bonet-García, Francisco & Hódar, José A. & Herrero, Javier & Tanase, Mihai & Torres-Muros, Lucía, 2019. "INSTAR: An Agent-Based Model that integrates existing knowledge to simulate the population dynamics of a forest pest," Ecological Modelling, Elsevier, vol. 411(C).
    • Handle: RePEc:eee:ecomod:v:411:y:2019:i:c:s0304380019302728
    DOI: 10.1016/j.ecolmodel.2019.108764
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    References listed on IDEAS

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    1. Rupert Seidl & Dominik Thom & Markus Kautz & Dario Martin-Benito & Mikko Peltoniemi & Giorgio Vacchiano & Jan Wild & Davide Ascoli & Michal Petr & Juha Honkaniemi & Manfred J. Lexer & Volodymyr Trotsi, 2017. "Forest disturbances under climate change," Nature Climate Change, Nature, vol. 7(6), pages 395-402, June.
    2. José Hódar & Regino Zamora & Luis Cayuela, 2012. "Climate change and the incidence of a forest pest in Mediterranean ecosystems: can the North Atlantic Oscillation be used as a predictor?," Climatic Change, Springer, vol. 113(3), pages 699-711, August.
    3. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
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