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

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

Ecological Modelling, 2019, vol. 411, issue C

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.

Keywords: Thaumetopoea pityocampa; Agent-Based model (ABM); Forest pest; Population dynamics; Pattern-oriented (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:411:y:2019:i:c:s0304380019302728

DOI: 10.1016/j.ecolmodel.2019.108764

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