Modelling ectotherms’ populations considering physiological age structure and spatial motion: A novel approach

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Rossini, L. ORCID: https://orcid.org/0000-0003-2558-7111, Bono Rosselló, N., Contarini, M., Speranza, S. and Garone, E. (2022) Modelling ectotherms’ populations considering physiological age structure and spatial motion: A novel approach. Ecological Informatics, 70. p. 101703. ISSN 1574-9541 doi: 10.1016/j.ecoinf.2022.101703

Abstract/Summary

The mathematical description of the dynamics of ectotherm populations has a crucial role in understanding and forecasting insect pests outbreaks, as well as to support the formulation of low-impact control strategies. Even though in recent years a considerable step forward has been made in modelling the biological life cycle of many ectotherms, the modelling of spatial aspects still remain partially unexplored. This work aims to fill a gap in knowledge by modelling the environmental factors-driven spatial motion of insects considering populations which develop over time, and through their life stages. Accordingly, spatial motion is proposed by modifying an existing physiologically based model by adding a subdivision of the area of interest in interconnected subareas represented by means of graph. Besides the mathematical framework, the model behavior is theoretically analyzed by considering three common cases of spatial motion occurring in cultivated fields: trap attraction, wind transportation, and a combination of the both cases. Simulations focus on the case of Drosophila suzukii, chosen due to the large amount of biological data available in the current literature. The behavior analysis shows the great potential of the model presented in this paper in the field of pest management, agriculture, and ecology.

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Item Type Article
URI https://centaur.reading.ac.uk/id/eprint/130083
Identification Number/DOI 10.1016/j.ecoinf.2022.101703
Refereed Yes
Divisions No Reading authors. Back catalogue items
Life Sciences > School of Agriculture, Policy and Development > Department of Crop Science
Publisher Elsevier
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