Impact of landscape factors on the population genetic differentiation of subterranean small mammal and implications for pest management

This dataset contains the genetic, landscape genetic, and species distribution modeling data associated with the study of Eospalax baileyi. The dataset includes microsatellite genotype data, mitochondrial Cytb haplotype data, landscape environmental layers, species occurrence records, and analytical scripts. 1. MaxEnt species distribution model The folder MaxEnt_species_distribution_model contains the input data and R scripts used for species distribution modeling of Eospalax baileyi using the maximum entropy (MaxEnt) algorithm. Contents include: Environmental_layers: environmental raster layers used as predictor variables for the MaxEnt model. Occurrence_data: geographic occurrence records of Eospalax baileyi used for model training and evaluation. MaxEnt_species_distribution_model.R: R script used for data preparation, MaxEnt model construction, evaluation, and visualization. 2. Microsatellite-based landscape genetics The folder Microsatellite_landscape_genetics contains the genetic data, landscape layers, and scripts used for fine-scale landscape genetic analyses based on microsatellite markers. Contents include: E_baileyi_microsatellite_genotypes: microsatellite genotype dataset of Eospalax baileyi individuals. Landscape_layers: spatial environmental layers used for microsatellite-based landscape genetic analyses. Microsatellite_landscape_genetics.R: R script for microsatellite landscape genetic analyses. 3. Mitochondrial Cytb-based landscape genetics The folder cytb_landscape_genetics contains mitochondrial Cytb sequence data, haplotype information, landscape layers, and scripts used for large-scale mitochondrial landscape genetic analyses. Contents include: cytb: mitochondrial Cytb sequence alignment data. cytb.hap: mitochondrial Cytb haplotype information. Landscape_layers: spatial environmental layers used for mitochondrial landscape genetic analyses. cytb_landscape_genetics.R: R script for Cytb-based landscape genetic analyses. All datasets and associated scripts are provided to ensure reproducibility of the analyses and to facilitate further research on the genetic structure, landscape connectivity, and habitat suitability of Eospalax baileyi.