Plot of the Fourier-derived variables (see Additional file 11 for a list) that partially delineate the predicted probability of occurrence for Ixodes ricinus. The purpose of the chart is to show the potential use of a set of traits derived from the main Fourier coefficients. The chart in A plots the quartile 90 of the NDVI in the year, and the sum of NDVI in spring. The size of the dots is proportional to the slope of NDVI in spring, and the colour indicates the predicted probability of occurrence of the tick. The chart in B plots the 90 % quartile of average annual temperature and the sum of temperature in spring, with the size of the dots being proportional to the slope of the temperature in spring. (PDF 3811 kb
Additional file 6: Figure S5. Partial dependency plots for (a) I. ricinus and (b) I. persulcatus sol...
A mechanistic model of the tick vector of Lyme disease, Ixodes scapularis, was adapted to a determin...
Table S1. Estimated differences from outcomes of models. Model outcomes of generalized linear models...
The list of variables derived from the coefficients of the Fourier harmonic regression, intended cap...
Parameter estimates and metrics for the best models based on multiple logistic regression between th...
Geographic projection of the predicted probability of occurrence of Rhipicephalus bursa. (PDF 1440Â ...
A set of 6213 pairs of coordinates of ticks and hosts, as compiled from the literature. The dataset ...
Figure S1. Ixodes ricinus nymphal ticks per 100 m2 for 2014. Map of the total number of nymphal tick...
Supplementary methods for null data generation and evaluation of observed models against null models...
Maxent model fitting and selection. Procedure followed to generate Maxent models and assess their fi...
Additional file 2: Figure S2. The range (lines) and mean (dots) of model performances over 50 model ...
Additional file 7: Figure S6. Partial dependency plots for (a) I. ricinus and (b) I. persulcatus sol...
Additional file 8: Figure S7. Partial dependency plots for (a) I. ricinus and (b) I. persulcatus bas...
Additional file 1: Figure S1. (a) The sampling strategy for new collections in 2021 was created base...
Additional file 3: Figure S3. The range (lines) and mean (dots) of model performances over 50 model ...
Additional file 6: Figure S5. Partial dependency plots for (a) I. ricinus and (b) I. persulcatus sol...
A mechanistic model of the tick vector of Lyme disease, Ixodes scapularis, was adapted to a determin...
Table S1. Estimated differences from outcomes of models. Model outcomes of generalized linear models...
The list of variables derived from the coefficients of the Fourier harmonic regression, intended cap...
Parameter estimates and metrics for the best models based on multiple logistic regression between th...
Geographic projection of the predicted probability of occurrence of Rhipicephalus bursa. (PDF 1440Â ...
A set of 6213 pairs of coordinates of ticks and hosts, as compiled from the literature. The dataset ...
Figure S1. Ixodes ricinus nymphal ticks per 100 m2 for 2014. Map of the total number of nymphal tick...
Supplementary methods for null data generation and evaluation of observed models against null models...
Maxent model fitting and selection. Procedure followed to generate Maxent models and assess their fi...
Additional file 2: Figure S2. The range (lines) and mean (dots) of model performances over 50 model ...
Additional file 7: Figure S6. Partial dependency plots for (a) I. ricinus and (b) I. persulcatus sol...
Additional file 8: Figure S7. Partial dependency plots for (a) I. ricinus and (b) I. persulcatus bas...
Additional file 1: Figure S1. (a) The sampling strategy for new collections in 2021 was created base...
Additional file 3: Figure S3. The range (lines) and mean (dots) of model performances over 50 model ...
Additional file 6: Figure S5. Partial dependency plots for (a) I. ricinus and (b) I. persulcatus sol...
A mechanistic model of the tick vector of Lyme disease, Ixodes scapularis, was adapted to a determin...
Table S1. Estimated differences from outcomes of models. Model outcomes of generalized linear models...