Predicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland
Uusitalo, 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. Parasites and Vectors, 15, Article 310. https://doi.org/10.1186/s13071-022-05410-8
Published in
Parasites and VectorsAuthors
Date
2022Discipline
Ekologia ja evoluutiobiologiaResurssiviisausyhteisöEcology and Evolutionary BiologySchool of Resource WisdomCopyright
© 2022 the Authors
Background
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.
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Publisher
Biomed CentralISSN Search the Publication Forum
1756-3305Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/155788813
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Related funder(s)
Research Council of FinlandFunding program(s)
Academy Programme, AoF; Academy Research Fellow, AoFAdditional information about funding
This 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).License
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