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dc.contributor.authorUusitalo, Ruut
dc.contributor.authorSiljander, Mika
dc.contributor.authorLindén, Andreas
dc.contributor.authorSormunen, Jani J.
dc.contributor.authorAalto, Juha
dc.contributor.authorHendrickx, Guy
dc.contributor.authorKallio, Eva
dc.contributor.authorVajda, Andrea
dc.contributor.authorGregow, Hilppa
dc.contributor.authorHenttonen, Heikki
dc.contributor.authorMarsboom, Cedric
dc.contributor.authorKorhonen, Essi M.
dc.contributor.authorSironen, Tarja
dc.contributor.authorPellikka, Petri
dc.contributor.authorVapalahti, Olli
dc.date.accessioned2022-09-01T11:38:46Z
dc.date.available2022-09-01T11:38:46Z
dc.date.issued2022
dc.identifier.citationUusitalo, R., Siljander, M., Lindén, A., Sormunen, J. J., Aalto, J., Hendrickx, G., Kallio, E., Vajda, A., Gregow, H., Henttonen, H., Marsboom, C., Korhonen, E. M., Sironen, T., Pellikka, P., & Vapalahti, O. (2022). Predicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland. <i>Parasites and Vectors</i>, <i>15</i>, Article 310. <a href="https://doi.org/10.1186/s13071-022-05410-8" target="_blank">https://doi.org/10.1186/s13071-022-05410-8</a>
dc.identifier.otherCONVID_155788813
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/82907
dc.description.abstractBackground Ticks are responsible for transmitting several notable pathogens worldwide. Finland lies in a zone where two human-biting tick species co-occur: Ixodes ricinus and Ixodes persulcatus. Tick densities have increased in boreal regions worldwide during past decades, and tick-borne pathogens have been identified as one of the major threats to public health in the face of climate change. Methods We used species distribution modelling techniques to predict the distributions of I. ricinus and I. persulcatus, using aggregated historical data from 2014 to 2020 and new tick occurrence data from 2021. By aiming to fill the gaps in tick occurrence data, we created a new sampling strategy across Finland. We also screened for tick-borne encephalitis virus (TBEV) and Borrelia from the newly collected ticks. Climate, land use and vegetation data, and population densities of the tick hosts were used in various combinations on four data sets to estimate tick species’ distributions across mainland Finland with a 1-km resolution. Results In the 2021 survey, 89 new locations were sampled of which 25 new presences and 63 absences were found for I. ricinus and one new presence and 88 absences for I. persulcatus. A total of 502 ticks were collected and analysed; no ticks were positive for TBEV, while 56 (47%) of the 120 pools, including adult, nymph, and larva pools, were positive for Borrelia (minimum infection rate 11.2%, respectively). Our prediction results demonstrate that two combined predictor data sets based on ensemble mean models yielded the highest predictive accuracy for both I. ricinus (AUC = 0.91, 0.94) and I. persulcatus (AUC = 0.93, 0.96). The suitable habitats for I. ricinus were determined by higher relative humidity, air temperature, precipitation sum, and middle-infrared reflectance levels and higher densities of white-tailed deer, European hare, and red fox. For I. persulcatus, locations with greater precipitation and air temperature and higher white-tailed deer, roe deer, and mountain hare densities were associated with higher occurrence probabilities. Suitable habitats for I. ricinus ranged from southern Finland up to Central Ostrobothnia and North Karelia, excluding areas in Ostrobothnia and Pirkanmaa. For I. persulcatus, suitable areas were located along the western coast from Ostrobothnia to southern Lapland, in North Karelia, North Savo, Kainuu, and areas in Pirkanmaa and Päijät-Häme. Conclusions This is the first study conducted in Finland that estimates potential tick species distributions using environmental and host data. Our results can be utilized in vector control strategies, as supporting material in recommendations issued by public health authorities, and as predictor data for modelling the risk for tick-borne diseases.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherBiomed Central
dc.relation.ispartofseriesParasites and Vectors
dc.rightsCC BY 4.0
dc.subject.otherixodes ricinus
dc.subject.otherixodes persulcatus
dc.subject.otherspecies distribution modelling
dc.subject.otherensemble prediction
dc.subject.othertick-borne pathogen
dc.subject.otherBorrelia burgdorferi sensu lato
dc.titlePredicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202209014441
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.contributor.oppiaineEkologia ja evoluutiobiologiafi
dc.contributor.oppiaineResurssiviisausyhteisöfi
dc.contributor.oppiaineEcology and Evolutionary Biologyen
dc.contributor.oppiaineSchool of Resource Wisdomen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1756-3305
dc.relation.volume15
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 the Authors
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.relation.grantnumber329326
dc.relation.grantnumber329332
dc.subject.ysopunkit
dc.subject.ysomallintaminen
dc.subject.ysoBorrelia-bakteerit
dc.subject.ysoennusteet
dc.subject.ysozoonoosit
dc.subject.ysolevinneisyys
dc.subject.ysopaikkatietoanalyysi
dc.subject.ysopuutiaisaivotulehdus
dc.subject.ysoborrelioosi
dc.subject.ysotaudinaiheuttajat
dc.subject.ysopuutiaiset
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p3718
jyx.subject.urihttp://www.yso.fi/onto/yso/p3533
jyx.subject.urihttp://www.yso.fi/onto/yso/p23656
jyx.subject.urihttp://www.yso.fi/onto/yso/p3297
jyx.subject.urihttp://www.yso.fi/onto/yso/p10500
jyx.subject.urihttp://www.yso.fi/onto/yso/p7415
jyx.subject.urihttp://www.yso.fi/onto/yso/p28516
jyx.subject.urihttp://www.yso.fi/onto/yso/p9938
jyx.subject.urihttp://www.yso.fi/onto/yso/p13976
jyx.subject.urihttp://www.yso.fi/onto/yso/p8822
jyx.subject.urihttp://www.yso.fi/onto/yso/p9774
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1186/s13071-022-05410-8
dc.relation.funderResearch Council of Finlanden
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramAcademy Programme, AoFen
jyx.fundingprogramAcademy Research Fellow, AoFen
jyx.fundingprogramAkatemiaohjelma, SAfi
jyx.fundingprogramAkatemiatutkija, SAfi
jyx.fundinginformationThis study was funded by the Doctoral Programme in Interdisciplinary Environmental Sciences (DENVI) of the University of Helsinki and by the Academy of Finland through the VECLIMIT project (decision No #329323).
dc.type.okmA1


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