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Airborne Alternaria and Cladosporium fungal spores in Europe: Forecasting possibilities and relationships with meteorological parameters

2019-02-25Journal article Restricted access
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dc.contributor.authorGrinn-Gofroń, Agnieszka
dc.contributor.authorNowosad, Jakub
dc.contributor.authorBosiacka, Beata
dc.contributor.authorCamacho, Irene
dc.contributor.authorPashley, Catherine
dc.contributor.authorBelmonte, Jordina
dc.contributor.authorDe Linares, Concepción
dc.contributor.authorIanovici, Nicoleta
dc.contributor.authorManzano, Jose María Maya
dc.contributor.authorSadyś, Magdalena
dc.contributor.authorSkjøth, Carsten
dc.contributor.authorRodinkova, Victoria
dc.contributor.authorTormo-Molina, Rafael
dc.contributor.authorVokou, Despoina
dc.contributor.authorFernández-Rodríguez, Santiago
dc.contributor.authorDamialis, Athanasios
dc.date.accessioned2021-01-06T11:12:35Z
dc.date.available2021-01-06T11:12:35Z
dc.date.issued2019-02-25
dc.description.abstractAirborne fungal spores are prevalent components of bioaerosols with a large impact on ecology, economy and health. Their major socioeconomic effects could be reduced by accurate and timely prediction of airborne spore concentrations. The main aim of this study was to create and evaluate models of Alternaria and Cladosporium spore concentrations based on data on a continental scale. Additional goals included assessment of the level of generalization of the models spatially and description of the main meteorological factors influencing fungal spore concentrations. Aerobiological monitoring was carried out at 18 sites in six countries across Europe over 3 to 21 years depending on site. Quantile random forest modelling was used to predict spore concentrations. Generalization of the Alternaria and Cladosporium models was tested using (i) one model for all the sites, (ii) models for groups of sites, and (iii) models for individual sites. The study revealed the possibility of reliable prediction of fungal spore levels using gridded meteorological data. The classification models also showed the capacity for providing larger scale predictions of fungal spore concentrations. Regression models were distinctly less accurate than classification models due to several factors, including measurement errors and distinct day-to-day changes of concentrations. Temperature and vapour pressure proved to be the most important variables in the regression and classification models of Alternaria and Cladosporium spore concentrations. Accurate and operational daily-scale predictive models of bioaerosol abundances contribute to the assessment and evaluation of relevant exposure and consequently more timely and efficient management of phytopathogenic and of human allergic diseases.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGrinn-Gofroń, A., Nowosad, J., Bosiacka, B., Camacho, I., Pashley, C., Belmonte, J., ... & Damialis, A. (2019). Airborne Alternaria and Cladosporium fungal spores in Europe: Forecasting possibilities and relationships with meteorological parameters. Science of the Total Environment, 653, 938-946.pt_PT
dc.identifier.doi10.1016/j.scitotenv.2018.10.419pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/3072
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.subjectAir microbiologypt_PT
dc.subjectAir pollutantspt_PT
dc.subjectAir pollutionpt_PT
dc.subjectAllergenspt_PT
dc.subjectAlternariapt_PT
dc.subjectCladosporiumpt_PT
dc.subjectEnvironmental monitoringpt_PT
dc.subjectEuropept_PT
dc.subjectForecastingpt_PT
dc.subjectModels, Statisticalpt_PT
dc.subjectSpores, Fungalpt_PT
dc.subjectMeteorological conceptspt_PT
dc.subjectAdvanced statistical modelspt_PT
dc.subjectAerobiologypt_PT
dc.subjectBioaerosolspt_PT
dc.subjectBiometeorology continentalpt_PT
dc.subjectScale moldspt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências da Vidapt_PT
dc.titleAirborne Alternaria and Cladosporium fungal spores in Europe: Forecasting possibilities and relationships with meteorological parameterspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage946pt_PT
oaire.citation.startPage938pt_PT
oaire.citation.titleThe Science of the total environmentpt_PT
oaire.citation.volume653pt_PT
person.familyNameCamacho
person.givenNameIrene
person.identifier.orcid0000-0003-0061-905X
person.identifier.scopus-author-id56374101100
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication5b2a49ac-c192-4d42-80f8-28efc578f53e
relation.isAuthorOfPublication.latestForDiscovery5b2a49ac-c192-4d42-80f8-28efc578f53e

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