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Record W4415916542 · doi:10.1186/s13071-025-07084-4

Northward expansion of the thermal limit for the tick Ixodes ricinus over the past 40 years

2025· article· en· W4415916542 on OpenAlexafffund
Daniele Da Re, Gaëlle F. Gilson, Quentin Dalaiden, Hugues Goosse, René Bødker, Lene Jung Kjær, Nicholas H. Ogden, Roberto Rosà, Sophie Vanwambeke

Bibliographic record

VenueParasites & Vectors · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicVector-borne infectious diseases
Canadian institutionsUniversité de MontréalPublic Health Agency of Canada
FundersFonds de recherche du Québec – Nature et technologiesSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaFonds De La Recherche Scientifique - FNRS
KeywordsIxodes ricinusTickRicinusAnimal ecologyAbundance (ecology)IxodesDistribution (mathematics)Parasitology

Abstract

fetched live from OpenAlex

BACKGROUND: The sheep tick Ixodes ricinus is the vector associated with the highest incidence of vector-borne disease in humans in Europe. Several studies have been published about the effect of future climate change on the potential distribution of I. ricinus, despite a limited understanding of how climate change has resulted in distribution changes to date. The objective of the present study was to assess whether temperature changes have already influenced the northern distribution limit of I. ricinus in Europe. To this end, we estimated a thermal threshold for the presence of the species and then used this estimated threshold to hindcast the geographical location of the thermal limit over the past 40 years. METHODS: We used a public dataset of I. ricinus abundance at the northern edge of its European distribution for 2016-2017 and temperature data obtained from the ERA5Land dataset to identify a thermal threshold for I. ricinus distribution. We first modelled nymphal tick abundance as a function of cumulative annual degree days (ADD) > 0 °C stratified by biogeographical regions using observations for 2016-2017. We then identified the thermal limit for each biogeographical region as the minimum DD > 0 °C value where the predicted nymph abundance is greater than zero and projected it onto ERA5Land temperature data for the period 1979-2020. RESULTS: Hindcasting the identified thermal limit suggested that I. ricinus has expanded its range by approximately 400 km in the Boreal biogeographical region between 1979 and 2020. This finding helps explain numerous observations of I. ricinus in areas presumed to be newly colonised. CONCLUSIONS: Our findings suggest a substantial northward expansion of I. ricinus over the past four decades. Our approach appears promising for understanding species distribution changes driven by recent climate change, acknowledging that multiple other factors affect tick distribution and abundance at the local scale, such as host distribution and microhabitat. Our results underline the relevance of long-term time series data and the risk associated with short time series for observing changes in distribution.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.377

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.250
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2025
Admission routes2
Has abstractyes

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