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

Autor: Ruut Uusitalo, Mika Siljander, Andreas Lindén, Jani J. Sormunen, Juha Aalto, Guy Hendrickx, Eva Kallio, Andrea Vajda, Hilppa Gregow, Heikki Henttonen, Cedric Marsboom, Essi M. Korhonen, Tarja Sironen, Petri Pellikka, Olli Vapalahti
Přispěvatelé: Department of Virology, Department of Geosciences and Geography, Medicum, Veterinary Biosciences, Faculty Common Matters (Faculty of Medicine), Helsinki One Health (HOH), Viral Zoonosis Research Unit, HUSLAB, Emerging Infections Research Group, Helsinki Institute of Sustainability Science (HELSUS), Institute for Atmospheric and Earth System Research (INAR), Veterinary Microbiology and Epidemiology, Olli Pekka Vapalahti / Principal Investigator
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Popis: BackgroundTicks are responsible for transmitting several notable pathogens worldwide. Finland lies in a zone where two human-biting tick species co-occur:IxodesricinusandIxodespersulcatus. 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.MethodsWe used species distribution modelling techniques to predict the distributions ofI.ricinusandI.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) andBorreliafrom 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.ResultsIn the 2021 survey, 89 new locations were sampled of which 25 new presences and 63 absences were found forI.ricinusand one new presence and 88 absences forI.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 forBorrelia(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 bothI.ricinus(AUC = 0.91, 0.94) andI.persulcatus(AUC = 0.93, 0.96). The suitable habitats forI.ricinuswere 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. ForI.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 forI.ricinusranged from southern Finland up to Central Ostrobothnia and North Karelia, excluding areas in Ostrobothnia and Pirkanmaa. ForI.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.ConclusionsThis 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.
Databáze: OpenAIRE
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