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Predicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland

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.contributor.departmentid4100110810
dc.contributor.departmentid4100110810
dc.contributor.orcidhttps://orcid.org/0000-0002-5674-3271
dc.contributor.organizationLuonnonvarakeskus
dc.date.accessioned2022-09-02T06:43:08Z
dc.date.accessioned2025-05-28T11:08:15Z
dc.date.available2022-09-02T06:43:08Z
dc.date.issued2022
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.
dc.description.vuosik2022
dc.format.bitstreamtrue
dc.format.pagerange21 p.
dc.identifier.olddbid494737
dc.identifier.oldhandle10024/552178
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/21691
dc.identifier.urnURN:NBN:fi-fe2022090257045
dc.language.isoen
dc.okm.corporatecopublicationei
dc.okm.discipline1181
dc.okm.discipline1183
dc.okm.internationalcopublicationon
dc.okm.openaccess1 = Open access -julkaisukanavassa ilmestynyt julkaisu
dc.okm.selfarchivedon
dc.publisherBioMed Central
dc.relation.articlenumber310
dc.relation.doi10.1186/s13071-022-05410-8
dc.relation.ispartofseriesParasites and vectors
dc.relation.issn1756-3305
dc.relation.numberinseries1
dc.relation.volume15
dc.rightsCC BY 4.0
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/552178
dc.subjectIxodes ricinus
dc.subjectIxodes persulcatus
dc.subjectSpecies distribution modelling
dc.subjectEnsemble prediction
dc.subjectTick-borne pathogen
dc.subjectBorrelia burgdorferi sensu lato
dc.teh41007-00184601
dc.teh41001-00001700
dc.titlePredicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland
dc.typepublication
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|
dc.type.versionfi=Publisher's version|sv=Publisher's version|en=Publisher's version|

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