{"title":"Predators as a possible strategy for controlling a {\\it Xylella} epidemic?","authors":"V. Capasso, S. Anita, Simone Scacchi, M. Montagna","doi":"10.1051/mmnp/2022043","DOIUrl":null,"url":null,"abstract":"In Southern Italy, since 2013, there has been an ongoing Olive\n\nQuick Decline Syndrome (OQDS) outbreak, due to the bacterium {\\it\n\nXylella fastidiosa},\n\n which has caused a dramatic impact from both socio-economic and environmental points of view.\n\n\n\n Current agronomic practices are mainly based on uprooting the sick olive trees and their surrounding ones,\n\n with later installment of olive cultivars more resistant to the bacterium infection.\n\n Unfortunately, both of these practices are having an undesirable impact on the environment and on the economy.\nHere, a spatially structured\n\nmathematical model has been proposed to include a predator {\\it Zelus renardii } as a possible biocontrol agent of the {\\it\n\nXylella} epidemic. The fact that {\\it Z. renardii} has been\n\nreported to be a generalist predator implies that\n\nits introduction is not an efficient control strategy to eradicate a\n\n{\\it Xylella} epidemic. Instead, a specialist predator, whenever\n\nidentified, would lead to the eventual eradication of a {\\it\n\nXylella} epidemic. In either cases it has been confirmed that a significant\n\nreduction of the weed biomass can lead to the eradication of\n\nthe vector population, hence of a {\\it Xylella} epidemic,\n\nindependently of the presence of predators.","PeriodicalId":18285,"journal":{"name":"Mathematical Modelling of Natural Phenomena","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Modelling of Natural Phenomena","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1051/mmnp/2022043","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
In Southern Italy, since 2013, there has been an ongoing Olive
Quick Decline Syndrome (OQDS) outbreak, due to the bacterium {\it
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 {\it Zelus renardii } as a possible biocontrol agent of the {\it
Xylella} epidemic. The fact that {\it Z. renardii} has been
reported to be a generalist predator implies that
its introduction is not an efficient control strategy to eradicate a
{\it Xylella} epidemic. Instead, a specialist predator, whenever
identified, would lead to the eventual eradication of a {\it
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 {\it Xylella} epidemic,
independently of the presence of predators.
期刊介绍:
The Mathematical Modelling of Natural Phenomena (MMNP) is an international research journal, which publishes top-level original and review papers, short communications and proceedings on mathematical modelling in biology, medicine, chemistry, physics, and other areas. The scope of the journal is devoted to mathematical modelling with sufficiently advanced model, and the works studying mainly the existence and stability of stationary points of ODE systems are not considered. The scope of the journal also includes applied mathematics and mathematical analysis in the context of its applications to the real world problems. The journal is essentially functioning on the basis of topical issues representing active areas of research. Each topical issue has its own editorial board. The authors are invited to submit papers to the announced issues or to suggest new issues.
Journal publishes research articles and reviews within the whole field of mathematical modelling, and it will continue to provide information on the latest trends and developments in this ever-expanding subject.