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    Modelling fungus dispersal scenarios using cellular automata Author links open overlay panel


    de Paula Ferreira, Iuri Emmanuel, de Andrade Moral, Rafael, Ferreira, Cláudia Pio and Conde Godoy, Wesley Augusto (2013) Modelling fungus dispersal scenarios using cellular automata Author links open overlay panel. Ecological Informatics, 14. pp. 53-58. ISSN 1574-9541

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    Abstract

    This study focused on representing spatio-temporal patterns of fungal dispersal using cellular automata. Square lattices were used, with each site representing a host for a hypothetical fungus population. Four possible host states were allowed: resistant, permissive, latent or infectious. In this model, the probability of infection for each of the healthy states (permissive or resistant) in a time step was determined as a function of the host's susceptibility, seasonality, and the number of infectious sites and the distance between them. It was also assumed that infected sites become infectious after a pre-specified latency period, and that recovery is not possible. Several scenarios were simulated to understand the contribution of the model's parameters and the spatial structure on the dynamic behaviour of the modelling system. The model showed good capability for representing the spatio-temporal pattern of fungus dispersal over planar surfaces. With a specific problem in mind, the model can be easily modified and used to describe field behaviour, which can contribute to the conservation and development of management strategies for both natural and agricultural systems.
    Item Type: Article
    Keywords: Phytopathogenic fungi; Spatial modelling; Disease management; Agroecosystems;
    Academic Unit: Faculty of Science and Engineering > Mathematics and Statistics
    Item ID: 10010
    Identification Number: 10.1016/j.ecoinf.2012.11.005
    Depositing User: Rafael de Andrade Moral
    Date Deposited: 26 Sep 2018 16:54
    Journal or Publication Title: Ecological Informatics
    Publisher: Elsevier
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/10010
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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