Research Article

Combining Niche Modelling, Land-Use Change, and Genetic Information to Assess the Conservation Status of Pouteria splendens Populations in Central Chile

Table 1

Bioclimatic variables from WorldClim database. The variables in bold type were chosen to model the distribution of P. splendens after Pearson correlation analysis.

VariableModel contribution (%)

Annual Mean Temperature (Bio 1)
Mean Diurnal Range (Bio 2)
Isothermality (Bio 3)
Temperature Seasonality (Bio 4)
Max Temperature of Warmest Month (Bio 5)
Minimum Temperature of Coldest Month (Bio 6)
Temperature Annual Range (Bio 7)0.3
Mean Temperature of Wettest Quarter (Bio 8)
Mean Temperature of Driest Quarter (Bio 9)
Mean Temperature of Warmest Quarter (Bio 10)
Mean Temperature of Coldest Quarter (Bio 11)
Annual Precipitation (Bio 12)<0.1
Precipitation of Wettest Month (Bio 13)
Precipitation of Driest Month (Bio 14)0.1
Precipitation Seasonality (Bio 15)
Precipitation of Wettest Quarter (Bio 16)
Precipitation of Driest Quarter (Bio 17)
Precipitation of Warmest Quarter (Bio 18)<0.1
Precipitation of Coldest Quarter (Bio 19)<0.1

The most relevant variables explaining the current distribution of P. splendens.