Appendix 3: Maxent model of landscape suitability for Hyperolius substriatus for Tanzania,
Malawi, and Mozambique.
Correlated Bioclim variables (Correlation Coefficient above |0.8|)
1: Temperature: variables 1, 5, 6, 8, 9, 10, 11
2: Isothermality/Seasonality: variables 3, 4
3: Temp Annual range: variable 7
4: Precipitation of Coldest Quarter: variable 19
5: Precipitation: variable 12, 13, 16
6: Mean Diurnal Range (temp): variable 2
7: Precipitation of Warmest Quarter: variable 18
8: Precipitation of Driest: variables 14, 17
9: Precipitation Seasonality: variable 15
Final bioclim variables for analysis
1: BIO11 = Mean Temperature of Coldest Quarter (highest input in 19 variable model)
2: BIO4 = Temperature Seasonality
3: BIO7 = Temperature Annual Range (P5-P6)
4: BIO19 = Precipitation of Coldest Quarter
5: BIO13 = Precipitation of Wettest Month
6: BIO2 = Mean Diurnal Range (Mean of monthly (max temp - min temp))
7: BIO18 = Precipitation of Warmest Quarter
8: BIO17 = Precipitation of Driest Quarter
9: BIO15 = Precipitation Seasonality (Coefficient of Variation)
Full geographic records from Herpnet data portal were not used carte blanche in an effort to
avoid over-fitting the model to Northern Tanzanian environments (as the Northern Tanzanian
forests are better sampled per square kilometre and to avoid inclusion of poorly referenced
localities of unverified individuals. Each potential locality (excluding doubtful and unverifiable
localities from South Africa and Mozambique) was visited and included if individuals were
found. In this way, I sought to use only the highest quality data for ENM construction. A total of
30 localities were used, the 24 listed as collection localities, along with six verified localities
with poor genetic results in Uluguru North and the Udzungwa Mountains (Supplementary
Materials).