A modelling framework for pest population dynamics and management: An application to the grape berry moth

Gianni Gilioli, Sara Pasquali and Enrico Marchesini

Ecological Modelling, 2016, vol. 320, issue C, 348-357

Abstract: Physiologically based demographic models are important tools for the development of sustainable pest management as they can realistically describe the spatio-temporal dynamics of population abundance as function of environmental forcing variables, e.g. temperature and resource availability. The physiological based model presented here is based on a stochastic demographic model for a stage-structured population that has application to a wide range of species across different taxa. The species life-history strategies are described in terms of a set of biodemographic rate functions dependent from the biological characteristics of the species and their environmental driver variables. Model application required parameter estimation of the biodemographic rate functions at two levels: assessing physiological responses at the per capita level and/or using population time series data for rate functions estimation. To explore the usefulness of the modelling framework in pest management, we consider the case study of the grape berry moth Lobesia botrana, a major pest in European vineyard. Most of the model parameters were estimated from data in the literature. An unpublished dataset of population dynamics collected in a vineyard in the Veneto region (Italy) over three years was used to estimate the mortality function. Model validation was performed with a set of independent data.

Keywords: Population dynamics; Stage-structured population; Physiologically based demographic model; Lobesia botrana; Integrated pest management (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:320:y:2016:i:c:p:348-357

DOI: 10.1016/j.ecolmodel.2015.10.018

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