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An eco-epidemiological model supporting rational disease management of Xylella fastidiosa. An application to the outbreak in Apulia (Italy)

Author

Listed:
  • Gilioli, Gianni
  • Simonetto, Anna
  • Colturato, Michele
  • Bazarra, Noelia
  • Fernández, José R.
  • Naso, Maria Grazia
  • Donato, Boscia
  • Bosco, Domenico
  • Dongiovanni, Crescenza
  • Maiorano, Andrea
  • Mosbach-Schulz, Olaf
  • Navas Cortés, Juan A.
  • Saponari, Maria

Abstract

Knowledge on the dynamics of Xylella fastidiosa infection is an essential element for the effective management of new foci. In this study, we propose an Eco-epidemiological Model (XEM) describing the infection dynamics of X. fastidiosa outbreaks. XEM can be applied to design disease management strategies and compare their level of efficacy. XEM is a spatial explicit mechanistic model for short-range spread of X. fastidiosa considering: i) the growth of the bacterium in the host plant, ii) the acquisition of the pathogen by the vector and its transmission to host plants, iii) the vector population dynamics, iv) the dispersal of the vector. The model is parametrized based on data acquired on the spread of X. fastidiosa subsp. pauca in olive groves in the Apulia region. Four epidemiological scenarios were considered combining host susceptibility and vector abundance. Eight management strategies were compared testing several levels of vector control efficacy, plant cutting radius, time to detection and intervention. Simulation results showed that the abundance of the vector is the key factor determining the spread rate of the pathogen. Vector control efficacy and time to detection and intervention emerged as the key factors for an effective eradication strategy. XEM proved to be a suitable tool to support decision making for the drafting and management of emergency plans related to new outbreaks.

Suggested Citation

  • Gilioli, Gianni & Simonetto, Anna & Colturato, Michele & Bazarra, Noelia & Fernández, José R. & Naso, Maria Grazia & Donato, Boscia & Bosco, Domenico & Dongiovanni, Crescenza & Maiorano, Andrea & Mosb, 2023. "An eco-epidemiological model supporting rational disease management of Xylella fastidiosa. An application to the outbreak in Apulia (Italy)," Ecological Modelling, Elsevier, vol. 476(C).
    • Handle: RePEc:eee:ecomod:v:476:y:2023:i:c:s0304380022003246
    DOI: 10.1016/j.ecolmodel.2022.110226
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    References listed on IDEAS

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    1. Brunetti, Matteo & Capasso, Vincenzo & Montagna, Matteo & Venturino, Ezio, 2020. "A mathematical model for Xylella fastidiosa epidemics in the Mediterranean regions. Promoting good agronomic practices for their effective control," Ecological Modelling, Elsevier, vol. 432(C).
    2. Kevin Schneider & Wopke van der Werf & Martina Cendoya & Monique Mourits & Juan A. Navas-Cortés & Antonio Vicent & Alfons Oude Lansink, 2020. "Impact of Xylella fastidiosa subspecies pauca in European olives," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(17), pages 9250-9259, April.
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