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Spatiotemporal analysis of olive flowering using geostatistical techniques

dc.contributor.authorPérez-Badia, Rosa
dc.contributor.authorRojo Úbeda, Jesús
dc.date.accessioned2025-01-23T12:19:59Z
dc.date.available2025-01-23T12:19:59Z
dc.date.issued2015
dc.description.abstractAnalysis of flowering patterns in the olive (Olea europaea L.) are of considerable agricultural and ecological interest, and also provide valuable information for allergy-sufferers, enabling identification of the major sources of airborne pollen at any given moment by interpreting the aerobiological data recorded in pollen traps. The present spatiotemporal analysis of olive flowering in central Spain combined geostatistical techniques with the application of a Geographic Information Systems, and compared results for flowering intensity with airborne pollen records. The results were used to obtain continuous phenological maps which determined the pattern of the succession of the olive flowering. The results show also that, although the highest airborne olive-pollen counts were recorded during the greatest flowering intensity of the groves closest to the pollen trap, the counts recorded at the start of the pollen season were not linked to local olive groves, which had not yet begin to flower. To detect the remote sources of olive pollen several episodes of pollen recorded before the local flowering season were analysed using a HYSPLIT trajectory model and the findings showed that western, southern and southwestern winds transported pollen grains into the study area from earlier-flowering groves located outside the territory.
dc.description.departmentDepto. de Farmacología, Farmacognosia y Botánica
dc.description.facultyFac. de Farmacia
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationojo J, Pérez-Badia R. Spatiotemporal analysis of olive flowering using geostatistical techniques. Science of The Total Environment 2015;505:860–9. https://doi.org/10.1016/j.scitotenv.2014.10.022.
dc.identifier.doi10.1016/j.scitotenv.2014.10.022
dc.identifier.officialurlhttp://dx.doi.org/10.1016/j.scitotenv.2014.10.022
dc.identifier.urihttps://hdl.handle.net/20.500.14352/115829
dc.journal.titleScience of the Total Environment
dc.language.isoeng
dc.page.final869
dc.page.initial860
dc.publisherElsevier
dc.rights.accessRightsembargoed access
dc.subject.cdu58
dc.subject.cdu574.9
dc.subject.keywordFlowering phenology
dc.subject.keywordCokriging
dc.subject.keywordElevation
dc.subject.keywordPollen season
dc.subject.keywordHYSPLIT model
dc.subject.ucmBotánica (Farmacia)
dc.subject.unesco2417 Biología Vegetal (Botánica)
dc.subject.unesco2505.01-1 Biogeografía Botánica
dc.titleSpatiotemporal analysis of olive flowering using geostatistical techniques
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number505
dspace.entity.typePublication
relation.isAuthorOfPublication7d599552-37fa-4870-a4f4-c82f739a17ca
relation.isAuthorOfPublication.latestForDiscovery7d599552-37fa-4870-a4f4-c82f739a17ca

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