Parrott2005

Référence

Parrott, L. (2005) Quantifying the complexity of simulated spatiotemporal population dynamics. Ecological Complexity, 2(2):175-184.

Résumé

Spatially explicit models in ecology permit the investigation of population dynamics in both space and time. The resultant spatiotemporal dynamics is often irregular and patchy, giving rise to intricate spatial patterns that can be difficult to characterise. Here, the question of how to characterise the spatiotemporal dynamics of simulated populations is addressed and a method of quantifying the complexity of patchy vegetation dynamics is proposed. The method is inspired by information-based measures of complexity and entropy and can distinguish between ordered, disordered (random) and complex (patchy) spatiotemporal mosaics. The method is demonstrated using data generated by the individual-based, multi-species model WIST. (c) 2005 Elsevier B.V. All rights reserved.

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@ARTICLE { Parrott2005,
    AUTHOR = { Parrott, L. },
    TITLE = { Quantifying the complexity of simulated spatiotemporal population dynamics },
    JOURNAL = { Ecological Complexity },
    YEAR = { 2005 },
    VOLUME = { 2 },
    PAGES = { 175-184 },
    NUMBER = { 2 },
    NOTE = { 949MG Times Cited:6 Cited References Count:28 },
    ABSTRACT = { Spatially explicit models in ecology permit the investigation of population dynamics in both space and time. The resultant spatiotemporal dynamics is often irregular and patchy, giving rise to intricate spatial patterns that can be difficult to characterise. Here, the question of how to characterise the spatiotemporal dynamics of simulated populations is addressed and a method of quantifying the complexity of patchy vegetation dynamics is proposed. The method is inspired by information-based measures of complexity and entropy and can distinguish between ordered, disordered (random) and complex (patchy) spatiotemporal mosaics. The method is demonstrated using data generated by the individual-based, multi-species model WIST. (c) 2005 Elsevier B.V. All rights reserved. },
    KEYWORDS = { complex systems ecological complexity spatiotemporal patterns ecosystem modelling patterns information space time },
    OWNER = { brugerolles },
    TIMESTAMP = { 2007.12.05 },
}

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