Anthropization variables.

We evaluated 15 variables classified into five groups. Most of the variables were derived from repositories and databases.</p

GLMM’s prediction plots of the effect of anthropization on the RA of rodents.

(A) Predicted probabilities for reservoir species and (B) predicted probabilities for non-reservoir species in BC+CHI. Grey shadows represent CI 95%.</p

Overdispersion evaluation for GLMM with Poisson distribution.

Overdispersion evaluation for GLMM with Poisson distribution.</p

PCA-Biplot of variables and sites.

The small symbols represent the sites in each region and are contained in an ellipse, representing the 95% Confidence Intervals (CI) for each region. The larger, centered symbols in each ellipse represent the average of the scores for each region.</p

S1 File -

Database of a) site coordinates, b) Anthropization Index variables, c) anthropization degree of sites, and d) rodent monitoring. (XLSX)</p

List of rodent species captured in the survey.

Number of individuals of each species for each region and both sampling seasons.</p

GLMM’s prediction plot of rodent richness.

Predicted counts of the association between anthropization and non-reservoir richness in BC+CHI. Grey shadows represent CI 95%.</p

Variables contribution plot.

Contribution of the six variables that contributed the most in PC1. The red dashed line indicates the expected average contribution. (TIFF)</p

Results of the GLMMs to test for the association between RA and richness of reservoir and non-reservoir species.

The model output includes the estimates for the fixed and random effects. Numbers in bold indicate significant values.</p

Map of Northwestern Mexico and the study sites.

The buffers that correspond to Baja California are shown in green, Sonora in purple, and Chihuahua in cyan. Boxes represent sites characterized by predominant native (A) vegetation, (B) cropland or livestock, and (C) urban/peri-urban areas. Reprinted from the OpenStreetMap vector basemap hosted by Environmental Systems Research Institute (Esri) and provided under a CC BY 4.0 license (Map data © OpenStreetMap contributors, Map layer by Esri 2019).</p