Math. Model. Nat. Phenom.
Volume 17, 2022
|Number of page(s)||21|
|Published online||20 October 2022|
Predators as a possible strategy for controlling a Xylella epidemic?
Faculty of Mathematics, “Alexandru Ioan Cuza” University of Iaşi, Iaşi 700506, Romania
2 “Octav Mayer” Institute of Mathematics of the Romanian Academy, Iaşi 700506, Romania
3 ADAMSS, Università degli Studi di Milano “La Statale”, 20133 Milano, Italy
4 Department of Agricultural Sciences, Università degli Studi di Napoli “Federico II”, 80055 Napoli, Italy
5 Department of Mathematics, Università degli Studi di Milano “La Statale”, 20133 Milano, Italy
* Corresponding author: firstname.lastname@example.org
Accepted: 17 September 2022
In Southern Italy, since 2013, there has been an ongoing Olive Quick Decline Syndrome (OQDS) outbreak, due to the bacterium Xylella fastidiosa, which has caused a dramatic impact from both socio-economic and environmental points of view. Current agronomic practices are mainly based on uprooting the sick olive trees and their surrounding ones, with later installment of olive cultivars more resistant to the bacterium infection. Unfortunately, both of these practices are having an undesirable impact on the environment and on the economy. Here, a spatially structured mathematical model has been proposed to include a predator Zelus renardii as a possible biocontrol agent of the Xylella epidemic. The fact that Z. renardii has been reported to be a generalist predator implies that its introduction is not an efficient control strategy to eradicate a Xylella epidemic. Instead, a specialist predator, whenever identified, would lead to the eventual eradication of a Xylella epidemic. In either cases it has been confirmed that a significant reduction of the weed biomass can lead to the eradication of the vector population, hence of a Xylella epidemic, independently of the presence of predators.
Mathematics Subject Classification: 35-XX / 35B40 / 37N25 / 92C80 / 92D30 / 92D40 / 93B99
Key words: Xylella fastidiosa / epidemics / insect predators / reaction-diffusion models / bio-control strategies
© The authors. Published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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