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Table 3 Models proposed to predict the effect of landscape variations on Anopheles cruzii abundance (mean number of mosquitoes collected per human/hour) and acrodendrophily (measured as the proportion of mosquitoes collected at ground level)

From: Effects of anthropogenic landscape changes on the abundance and acrodendrophily of Anopheles (Kerteszia) cruzii, the main vector of malaria parasites in the Atlantic Forest in Brazil

Response variable Explanatory variable Fixed effect Random effect (standard deviation of the random-effect intercepts) AICc ∆AICc Weight
Intercept Slope Month Year
Mean Anopheles cruzii abundance per human/hour Forest cover 1 km  1.935 (0.507) 5.508 (0.244) 1.040 0.777 1391.5 0 0.961
Total edge 500 m 7.786 (0.583) − 0.899 (0.046) 1.182 0.879 1398.1 6.6 0.036
Anthropogenic use 1 km 3.487 (0.465) − 5.225 (0.232) 1.037 0.785 1403.2 11.7 0.003
Anthropogenic use 500 m 3.395 (0.433) − 3.774 (0.173) 1.022 0.699 1465.3 73.8 < 0.001
Forest cover 500 m − 0.379 (0.457) 3.775 (0173) 1.022 0.700 1465.4 73.9 < 0.001
Total edge 1 km 5.695 (0.499) − 0.139 (0.007) 0.995 0.847 1599.9 208.5 < 0.001
Forest fragments 500 m 3.589 (0.486) − 0.302 (0.016) 0.994 0.866 1627.9 236.4 < 0.001
Forest fragments 1 km 3.326 (0.482) − 0.101 (0.006) 0.979 0.863 1749.2 357.8 < 0.001
Null model 2.645 (0.497) 1.002 0.898 2055.2 663.7 < 0.001
Proportion of Anopheles cruzii at ground level Total edge 500 m − 6.618 (1.429) 0.795 (0.142) 2.287 2.050 325.1 0 0.886
Forest cover 1 km 2.552 (1.389) − 5.371 (1.045) 2.322 1.873 331.0 5.9 0.047
Anthropogenic use 500 m − 2.651 (1.138) 3.710 (0.740) 2.308 1.985 332.4 7.3 0.024
Forest cover 500 m 1.057 (1.269) − 3.709 (0.741) 2.308 1.984 332.4 7.3 0.023
Anthropogenic use 1 km − 2.721 (1.102) 5.033 (1.008) 2.321 1.866 332.7 7.6 0.020
Total edge 1 km − 4.412 (1.242) 0.115 (0.029) 2.266 1.801 343.6 18.5 < 0.001
Forest fragments 500 m − 2.398 (1.069) 0.161 (0.073) 2.236 1.794 354.1 28.9 < 0.001
Null model − 1.940 (1.037) 2.173 1.795 356.6 31.5 < 0.001
Forest fragments 1 km − 2.139 (1.053) 0.034 (0.028) 2.200 1.787 357.4 32.3 < 0.001
  1. The values of the models with the best fit are shown in italics
  2. Landscape variables were measured for 500 m and 1 km buffers around the collection point. For each model the intercept and slope for the fixed effect, the standard deviation of the random-effect intercepts, the Akaike information criterion for small samples (AICc and ΔAICc) and Akaike weight are shown. The standard error of estimates is shown in brackets