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Methodological approach to spatial analysis of agricultural pest dispersal in olive landscapes

dc.contributor.authorMoreno, A.
dc.contributor.authorRescia Perazzo, Alejandro Javier
dc.contributor.authorPascual Ramírez, Sergio
dc.contributor.authorOrtega, M.
dc.date.accessioned2023-06-22T10:43:29Z
dc.date.available2023-06-22T10:43:29Z
dc.date.issued2022-05-09
dc.descriptionCRUE-CSIC (Acuerdos Transformativos 2022)
dc.description.abstractThe effectiveness of a Geographical Information Systems cost-distance tool for detecting landscape permeability in relation to the movement of pests in olive landscapes was established. The simplification of agricultural systems is linked to an increased incidence of pests on crops. Therefore, it is important to understand the impact of different land uses surrounding olive groves on pests. In this work, we analysed the effect of the structure of the olive landscape on the movement of two main olive pests—the olive fruit fly, Bactrocera oleae (Rossi) (Diptera: Tephritidae) and the olive moth, Prays oleae (Bernard) (Lepidopetera: Praydidae). We applied linear mixed effects models to analyse the relationship between pest abundance and cost-distance, using different hypotheses to evaluate those land uses that are favourable or unfavourable for the movement of these pests. The results show that this methodology is effective in detecting possible unfavourable land uses with a barrier effect, such as woodland and artificial land uses, and favourable land uses with a corridor effect such as olive groves. Whether other land uses, such as scrubland or riverbanks, act as a barrier or corridor depends on the pest and its life cycle stage. The effect that different land uses have in maintaining low levels of pest populations and ensuring the long-term sustainability of these agricultural systems are discussed. The implications of landscape permeability for the physical structure of the landscape and the dispersal of organisms, and the potential of that landscape to impact the continuous flow of natural processes are also addressed.eng
dc.description.departmentDepto. de Biodiversidad, Ecología y Evolución
dc.description.facultyFac. de Ciencias Biológicas
dc.description.refereedTRUE
dc.description.sponsorshipUniversidad Complutense de Madrid/Banco de Santander
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/72499
dc.identifier.citationMoreno, A., A. J. Rescia, S. Pascual, y M. Ortega. «Methodological Approach to Spatial Analysis of Agricultural Pest Dispersal in Olive Landscapes». Environmental Monitoring and Assessment 194, n.o 6 (junio de 2022): 411. https://doi.org/10.1007/s10661-022-10068-x.
dc.identifier.doi10.1007/s10661-022-10068-x
dc.identifier.issn0167-6369
dc.identifier.officialurlhttps://doi.org/10.1007/s10661-022-10068-x
dc.identifier.relatedurlhttps://link.springer.com/article/10.1007/s10661-022-10068-x#citeas
dc.identifier.urihttps://hdl.handle.net/20.500.14352/71511
dc.issue.number6
dc.journal.titleEnvironmental Monitoring and Assessment
dc.language.isoeng
dc.page.final20
dc.page.initial1
dc.publisherSpringer Nature
dc.relation.projectIDinfo:eu-repo/grantAgreement/Santander-UCM//UCM PR87/19–22645
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/es/
dc.subject.cdu574(460)
dc.subject.cdu631.95(460)
dc.subject.cdu632.9
dc.subject.keywordBactrocera oleae
dc.subject.keywordCost distance tool
dc.subject.keywordLandscape permeability Prays oleae
dc.subject.keywordPest movement
dc.subject.keywordSmart farming
dc.subject.ucmEcología (Biología)
dc.subject.ucmInsectos
dc.subject.ucmMedio ambiente natural
dc.subject.unesco2401.06 Ecología animal
dc.subject.unesco2413 Biología de Insectos (Entomología)
dc.titleMethodological approach to spatial analysis of agricultural pest dispersal in olive landscapesen
dc.typejournal article
dc.volume.number194
dspace.entity.typePublication
relation.isAuthorOfPublication71393e68-feaa-411f-9d60-9ef68f098acd
relation.isAuthorOfPublication67ec03af-ce83-4a1a-8dd6-c4b4bc6cc3bc
relation.isAuthorOfPublication.latestForDiscovery71393e68-feaa-411f-9d60-9ef68f098acd

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