Research graph
References from Modelling the distribution of the tick Ixodes ricinus in England and Wales using passive surveillance data from citizen science reports. Local targets link to admitted publications; unresolved targets remain external evidence.
The global importance of ticks
2004 · External reference
Emerging tick-borne diseases
10.1128/cmr.00083-18 · 2020 · External reference
Tick-borne encephalitis virus, United Kingdom
10.3201/eid2601.191085 · 2020 · External reference
Louping ill virus in the UK: a review of the hosts, transmission and ecological consequences of control
10.1007/s10493-015-9952-x · 2016 · External reference
Prevalence of Anaplasma phagocytophilum in questing Ixodes ricinus nymphs across twenty recreational areas in England and Wales
10.1016/j.ttbdis.2022.101965 · 2022 · External reference
Detection of Babesia species in questing Ixodes ricinus ticks in England and Wales
10.1016/j.ttbdis.2023.102291 · 2024 · External reference
Driving forces for changes in geographical distribution of Ixodes ricinus ticks in Europe
10.1186/1756-3305-6-1 · 2013 · External reference
Possible expansion of Ixodes ricinus in the United Kingdom identified through the Tick Surveillance Scheme between 2013 and 2020
10.1111/mve.12612 · 2023 · External reference
Data-intensive science applied to broad-scale citizen science
10.1016/j.tree.2011.11.006 · 2012 · External reference
Using imperfect data in predictive mapping of vectors: a regional example of Ixodes ricinus distribution
10.1186/s13071-019-3784-1 · 2019 · External reference
Using citizen science to describe the prevalence and distribution of tick bite and exposure to tick-borne diseases in the United States
10.1371/journal.pone.0199644 · 2018 · External reference
Spatial cross-validation is not the right way to evaluate map accuracy
10.1016/j.ecolmodel.2021.109692 · 2021 · External reference
Bias in butterfly distribution maps: the influence of hot spots and recorder’s home range
10.1023/a:1009690919835 · 2000 · External reference
Effect of roadside bias on the accuracy of predictive maps produced by bioclimatic models
10.1890/02-5364 · 2004 · External reference
Unresolved reference
External reference
Estimating species distributions from spatially biased citizen science data
10.1016/j.ecolmodel.2019.108927 · 2020 · External reference
Climate, niche, ticks, and models: what they are and how we should interpret them
2008 · External reference
Predicting habitat suitability for Ixodes ricinus and Ixodes persulcatus ticks in Finland
10.1186/s13071-022-05410-8 · 2022 · External reference
Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data
10.1890/07-2153.1 · 2009 · External reference
Target‐group backgrounds prove effective at correcting sampling bias in Maxent models
10.1111/ddi.13442 · 2021 · External reference
The effect of sample size on the accuracy of species distribution models: considering both presences and pseudo‐absences or background sites
10.1111/ecog.03188 · 2018 · External reference
Darkness induces mobility, and saturation deficit limits questing duration, in the tick Ixodes ricinus
10.1242/jeb.00345 · 2003 · External reference
The ecology of the sheep tick, Ixodes ricinus L.; spatial distribution
10.1017/s0031182000017832 · 1950 · External reference
Ticks on the move-climate change-induced range shifts of three tick species in Europe: current and future habitat suitability for Ixodes ricinus in comparison with Dermacentor reticulatus and Dermacentor marginatus
10.1007/s00436-022-07556-x · 2022 · External reference
Woodland expansion and deer management shape tick abundance and Lyme disease hazard
10.1002/2688-8319.12403 · 2025 · External reference
HadUK‐grid—a new UK dataset of gridded climate observations
10.1002/gdj3.78 · 2019 · External reference
What do we still need to know about Ixodes ricinus?
10.1016/j.ttbdis.2021.101682 · 2021 · External reference
Climate change and Ixodes tick-borne diseases of humans
10.1098/rstb.2014.0051 · 2015 · External reference
Factors responsible for Ixodes ricinus nymph abundance: Are soil features indicators of tick abundance in a French region where Lyme borreliosis is endemic?
10.1016/j.ttbdis.2018.03.013 · 2018 · External reference
Multiple factors affecting Ixodes ricinus ticks and associated pathogens in European temperate ecosystems (northeastern France)
10.1038/s41598-024-59867-x · 2024 · External reference
Unresolved reference
2004 · External reference
The European soil database
2006 · External reference
LCM2021 – the UK land cover map 2021
10.5194/essd-15-4631-2023 · 2023 · External reference
Distribution, abundance, and habitat preferences of Ixodes ricinus (Acari: Ixodidae) in northern Spain
10.1603/0022-2585-38.3.361 · 2001 · External reference
Spatial and temporal heterogeneity of the density of Borrelia burgdorferi-infected Ixodes ricinus ticks across a landscape: a 5-year study in southern England
10.1111/mve.12574 · 2022 · External reference
Mapping and monitoring tick (Acari, Ixodida) distribution, seasonality, and host associations in the United Kingdom between 2017 and 2020
10.1111/mve.12621 · 2023 · External reference
Factors responsible for Ixodes ricinus presence and abundance across a natural-urban gradient
10.1371/journal.pone.0285841 · 2023 · External reference
Unresolved reference
2024 · External reference
Investigation of ecological and environmental determinants for the presence of questing Ixodes ricinus (Acari: Ixodidae) on Gower, South Wales
10.1093/jmedent/45.2.314 · 2008 · External reference
Temporal variations in the usefulness of normalized difference vegetation index as a predictor for Ixodes ricinus (Acari: Ixodidae) in a Borrelia lusitaniae focus in Tuscany, central Italy
10.1093/jmedent/45.3.547 · 2008 · External reference
Predicting and mapping human risk of exposure to Ixodes ricinus nymphs using climatic and environmental data, Denmark, Norway and Sweden, 2016
10.2807/1560-7917.es.2019.24.9.1800101 · 2019 · External reference
Towards improved, cost-effective surveillance of Ixodes ricinus ticks and associated pathogens using species distribution modelling
10.4081/gh.2019.745 · 2019 · External reference
Nested species distribution models of Chlamydiales in Ixodes ricinus (Tick) hosts in Switzerland
10.1128/aem.01237-20 · 2020 · External reference
rgee: An R package for interacting with Google Earth Engine
10.21105/joss.02272 · 2020 · External reference
Modeling current and potential distributions of mammal species using presence-only data: a case study on British deer
10.1002/ece3.5424 · 2019 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
External reference
tidysdm: Leveraging the flexibility of tidymodels for species distribution modelling in R
10.1111/2041-210x.14406 · 2024 · External reference
Unresolved reference
External reference
Xgboost: a scalable tree boosting system
2016 · External reference
Ranger: a fast implementation of random forests for high dimensional data in c++ and r.
2015 · External reference
Explainable artificial intelligence enhances the ecological interpretability of black‐box species distribution models
10.1111/ecog.05360 · 2020 · External reference
Unresolved reference
2009 · External reference
All models are wrong, but many are useful: learning a variable’s importance by studying an entire class of prediction models simultaneously
2019 · External reference
DALEX: Explainers for complex predictive models in R
2018 · External reference
The tick Ixodes ricinus: distribution and climate preferences in the western Palaearctic
10.1111/j.1365-2915.2006.00622.x · 2006 · External reference
Predicting the distribution of Ixodes ricinus and Dermacentor reticulatus in Europe: a comparison of climate niche modelling approaches
10.1186/s13071-023-05959-y · 2023 · External reference
A nationwide study on Borrelia burgdorferi s.l. infection rates in questing Ixodes ricinus: a six-year snapshot study in protected recreational areas in England and Wales
10.1111/mve.12503 · 2021 · External reference
Ixodes ricinus and Borrelia burgdorferi sensu lato in the Royal Parks of London, UK
10.1007/s10493-021-00633-3 · 2021 · External reference
How citizen science could improve species distribution models and their independent assessment
10.1002/ece3.7210 · 2021 · External reference
The influence of the number and distribution of background points in presence-background species distribution models
10.1016/j.ecolmodel.2023.110604 · 2024 · External reference
Without quality presence–absence data, discrimination metrics such as TSS can be misleading measures of model performance
10.1111/jbi.13402 · 2018 · External reference
Do pseudo-absence selection strategies influence species distribution models and their predictions? An information-theoretic approach based on simulated data
10.1186/1472-6785-9-8 · 2009 · External reference
