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.
Variable
Model 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.