Table 2. Multiple regression models incorporating land cover variability and potential evapotranspiration. Butterfly richness is square-root transformed in all models. Potential evapotranspiration and land cover variation are comparably strong at all scales in these analyses. Factor p refers to the significance level of the individual variable within the regression model, whereas model p refers to the significance level of the model itself.

Quadrat size Factor
Model r2 (factor p)
n (model p value)
5° land cover variability 0.67 (< 10-6) 78 (< 10-6)
5° potential evapotranspiration 0.79 (< 10-6) 78 (< 10-6)
5° minimum elevation 0.83 (< 10-4) 78 (< 10-5)
2° potential evapotranspiration 0.41 (< 10-6) 371 (< 10-6)
2° land cover variability 0.49 (< 10-6) 371 (< 10-6)
2.5° x 5° potential evapotranspiration 0.42 (< 10-6) 161(< 10-6)
2.5° x 5° land cover variability 0.52 (< 10-6) 161(< 10-6)