Parameter estimates and metrics for the best models based on multiple logistic regression between the coefficients of Fourier harmonic regression on climate time series and seven species of ticks. There are five coefficients for the diurnal land surface temperature (LSTD) and five for the Normalized Difference Vegetation Index (NDVI). They together describe the phenology of the climate (temperature and vegetation) in the period 2001–2014. The column “Prob” displays the significance of a given coefficient in the multiple regression for each species of tick with an asterisk for those highly significant. (PDF 56 kb
Figure S1. Ixodes ricinus nymphal ticks per 100 m2 for 2014. Map of the total number of nymphal tick...
1. Understanding seasonal patterns of activity, or phenology, of vector species is fundamental to de...
Background: The ticks Ixodes ricinus and Dermacentor reticulatus are two of the most important vecto...
The list of variables derived from the coefficients of the Fourier harmonic regression, intended cap...
Maxent model fitting and selection. Procedure followed to generate Maxent models and assess their fi...
Plot of the Fourier-derived variables (see Additional file 11 for a list) that partially delineate t...
Supplementary methods for null data generation and evaluation of observed models against null models...
Projected current and future climate suitability under RCP 2.6, 6.0 & 8.5. Figures S3-S8 & Table S2....
A set of 6213 pairs of coordinates of ticks and hosts, as compiled from the literature. The dataset ...
PCA results. Table S1: Loadings of Principal Component Analysis of western Palearctic climate. 20 cl...
To increase capacity for monitoring and surveillance of tick-borne diseases, publicly available tick...
Geographic projection of the predicted probability of occurrence of Rhipicephalus bursa. (PDF 1440Â ...
[Background]: Modelling the environmental niche and spatial distribution of pathogen-transmitting ar...
Figure S1. The sampling area with the circular footpath. Figure S2. The sampling area with the maxim...
Table S5. Logistic regression exploring the effects of species identity, sex and age on tick parasit...
Figure S1. Ixodes ricinus nymphal ticks per 100 m2 for 2014. Map of the total number of nymphal tick...
1. Understanding seasonal patterns of activity, or phenology, of vector species is fundamental to de...
Background: The ticks Ixodes ricinus and Dermacentor reticulatus are two of the most important vecto...
The list of variables derived from the coefficients of the Fourier harmonic regression, intended cap...
Maxent model fitting and selection. Procedure followed to generate Maxent models and assess their fi...
Plot of the Fourier-derived variables (see Additional file 11 for a list) that partially delineate t...
Supplementary methods for null data generation and evaluation of observed models against null models...
Projected current and future climate suitability under RCP 2.6, 6.0 & 8.5. Figures S3-S8 & Table S2....
A set of 6213 pairs of coordinates of ticks and hosts, as compiled from the literature. The dataset ...
PCA results. Table S1: Loadings of Principal Component Analysis of western Palearctic climate. 20 cl...
To increase capacity for monitoring and surveillance of tick-borne diseases, publicly available tick...
Geographic projection of the predicted probability of occurrence of Rhipicephalus bursa. (PDF 1440Â ...
[Background]: Modelling the environmental niche and spatial distribution of pathogen-transmitting ar...
Figure S1. The sampling area with the circular footpath. Figure S2. The sampling area with the maxim...
Table S5. Logistic regression exploring the effects of species identity, sex and age on tick parasit...
Figure S1. Ixodes ricinus nymphal ticks per 100 m2 for 2014. Map of the total number of nymphal tick...
1. Understanding seasonal patterns of activity, or phenology, of vector species is fundamental to de...
Background: The ticks Ixodes ricinus and Dermacentor reticulatus are two of the most important vecto...