Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 853, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scitotenv.2022.158633
Keywords
Exophilic ticks; Modelling; Niche overlap; Tick burden; Tick-borne pathogen risk
Categories
Funding
- Spanish Ministry for the Science and Innovation (MCI)
- European Regional Development Fund (ERDF) [CGL2017-89866-R, PID2019-111699RB-I00]
- regional Government of Castilla-La Mancha region (JCCM)
- European Social Fund (ESF) [SBPLY/19/180501/000321]
- MCI
- ESF
- University of Castilla-La Mancha (UCLM) [2019-PREDUCLM-10932, PRE2018-083801, PREJCCM2019/11, PEJ2018-003155-A, 2018/12504, SUPLY/19/180501/000487]
- CRUE-CSIC agreement
- Elsevier
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Tick abundance is determined by multiple factors at small spatial scales and understanding these determinants is crucial for effective tick management strategies. The study reveals that tick burdens on wild ungulates in Donana National Park, Spain, are influenced by environment, host population, host individual, and land-use. The findings emphasize the importance of host aggregation areas with favorable traits for ticks as hotspots for tick and vector-borne pathogen transmission.
Tick abundance is an essential demographic parameter to infer tick-borne pathogen transmission risks. Spatiotemporal patterns of tick abundance are heterogeneous, so its determinants at small spatial scales need to be understood to reduce their negative effects on hosts. Current knowledge of these determinants is scarce, especially in Mediterranean environ-ments, limiting the possibilities for designing efficient tick control strategies. With the goal of unravelling tick abun-dance determinants and informing new tick management strategies, we estimated tick burdens on 1965 wild ungulates in Donana National Park, Spain, annually between 2010 and 2020. Under the hypothesis of a predominant host influence on tick abundance, we modelled the burdens of Rhipicephalus annulatus, Hyalomma lusitanicum, and Ixodes ricinus with relevant predictors grouped into four factors: i) environment; ii) host population; iii) host individual; and iv) land-use. Generalized linear mixed models with a zero-inflated negative binomial distribution were built. Additionally, we analysed the differential contribution to abundance of each factor by deviance partitioning. We finally estimated the similarity in the environmental space of tick species by analysing their niche overlap with the environmental principal component analysis method. Our work hypothesis was confirmed for R. annulatus and H. lusitanicum, but we found that tick abundance at a fine spatial scale is jointly driven by multiple drivers, including all four factors considered in this study. This result points out that understanding the demography of ticks is a complex multifactorial issue, even at small spatial scales. We found no niche differences between the three tick species at the study spatial scale, thus showing similar host and environmental dependencies. Overall results identify that host aggregation areas displaying environ-mentally favourable traits for ticks are relevant tick and vector-borne pathogen transmission hotspots. Our findings will facilitate the design of new strategies to reduce the negative effects of tick parasitism.
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