Additional file 1 of Updated distribution maps of predominant Culex mosquitoes across the Americas
Creators: name: Gorris, Morgan E.
name: Bartlow, Andrew W.
name: Temple, Seth D.
name: Romero-Alvarez, Daniel
name: Shutt, Deborah P.
name: Fair, Jeanne M.
name: Kaufeld, Kimberly A.
name: Del Valle, Sara Y.
name: Manore, Carrie A.
Publisher: name: figshare
Year: 2021
Subjects: subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Computational Biology

description: Additional file 1: Table S1. The total number of presence data points for each Culex species used in model development after filtering by the 30-km radial buffer. Table S2. Final model specifications and performance metrics for each species. Table S3. Summary of environmental factors important for each of the seven Culex species, which were obtained from the literature review. Table S4. Percent environmental variable contribution during Maxent model development for each Culex species. Figure S1. Maps of the environmental training area unique to each species used for the Maxent models across North America for a Culex pipiens, b Culex restuans, c Culex salinarius, and d Culex tarsalis. These were created by buffering the data based on the median distance from each presence data point to the centroid of all presence points. Ten thousand background points are randomly sampled from the shaded environmental training area when running Maxent. Figure S2. Maps of the environmental training area unique to each species used for the Maxent models across North America and South America for a Culex erraticus, b Culex nigripalpus, and c Culex quinquefasciatus. These were created by buffering the data based on the median distance from each presence data point to the centroid of all presence points. Ten thousand background points are randomly sampled from the shaded environmental training area when running Maxent. Figure S3. After extrapolating the Maxent models across North America, areas that are highlighted have novel climate or environmental conditions relative to the background environmental training dataset. This is unique to each species: a Culex pipiens, b Culex restuans, c Culex salinarius, and d Culex tarsalis. Figure S4. After extrapolating the Maxent models across North America and South America, areas that are highlighted have novel climate or environmental conditions relative to the background environmental training dataset. This is unique to each species: a Culex erraticus, b Culex nigripalpus, and c Culex quinquefasciatus. Figure S5. Maps of the difference between the maximum and minimum suitability output amongst the ten bootstrapped replicates (i.e., the range) to show areas of high or low uncertainty in our models for species in North America: a Culex pipiens, b Culex restuans, c Culex salinarius, and d Culex tarsalis. Figure S6. Maps of the difference between the maximum and minimum suitability output amongst the ten bootstrapped replicates (i.e., the range) to show areas of high or low uncertainty in our models for species in North America and South America: a Culex erraticus, b Culex nigripalpus, and c Culex quinquefasciatus.