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. 2014 Oct 29;11:77. doi: 10.1186/s12983-014-0077-6

Table 1.

Composition, evaluation scores (AUCtest, AICc and MPA) and variable contribution ranks of the best models

Broad-scale modelling
Type Model β AUC test AICc MPA Variable contribution rank
Climatic B8, B10, B12, B17 1 0.881 2688.1285 0.3383 B10 (45.3) > B12 > B8 > B17
B4, B10, B12, B15, B17 1 0.880 2619.7250 0.2972 B10 (43.7) > B12 > B17 > B15 > B4
Topographic ABR, ELEV 1 0.873 2434.7099 0.365 ABR (84.4) > ELEV
ABR, ELEV 2 0.866 2478.7364 0.343 ABR (86.1) > ELEV
Climatic + Topographic B4, B8, B10, B12, B15, B17, ELEV, ABR 1 0.905 2542.8793 0.201 ABR (71.7) > ELEV > B10 > B17 > B12 > B15 > B4 > B8
B4, B8, B10, B12, B15, B17, ABR 2 0.911 2409.3266 0.237 ABR (79.9) > B10 > B12 > B15 > B17 > B4 > B8
Climatic + Habitat B4, B8, B10, B12, B15, B17, LAND 1 0.899 2426.4305 0.271 B10 (32.7) > B12 > LAND > B8 > B17 > B15 > B4
B4, B10, B12, B15, B17, LAND 1 0.889 2472.1983 0.237 B10 (37.0) > B12 > LAND > B17 > B15 > B4
Topographic + Habitat ELEV, ABR, LAND 1 0.873 2333.0673 0.321 ABR (86.7) > ELEV > LAND
ABR, LAND 2 0.876 2379.0112 0.321 ABR (96.6) > LAND
Climatic + Topographic + Habitat B4, B8, B10, B12, B15, B17, ABR, LAND 1 0.903 2334.3659 0.178 ABR (70.6) > B10 > B17 > LAND > B15 > B12 > B8 > B4
B4, B10, B12, B15, B17, ABR, LAND 1 0.912 2330.3513 0.208 ABR (75.1) > B10 > BIO12 > B17 > B15 > LAND > B4
Fine-scale modelling
Type Model β AUC test AICc MPA Variable contribution rank
Topographic ELEV, SLOP, ORI 1 0.9294 1087.2041 0.1381 ELEV (56.3) > SLO > ORI
ELEV, SLOP 1 0.9298 1108.6065 0.1574 ELEV (54.9) > SLO
Habitat DIS-URBAN, DIS-FOREST, DIS-ROCK 1 0.8968 1161.1387 0.2449 dis-rock (74.3) > dis-urban > dis-forest
DIS-URBAN, DIS-ROCK 1 0.8943 1321.0146 0.2471 dis-rock (89.3) > dis-urban
Topographic + Habitat ELEV, SLOP, ORI, DIS-URBAN, DIS-FOREST, DIS-ROCK 1 0.9429 1289.9253 0.0871 dis-rock (32.0) > SLO > ELEV > dis-urban > dis-forest > ORI
ELEV, SLOP, DIS-URBAN, DIS-ROCK 1 0.9560 1199.8611 0.1026 dis-rock (34.4) > SLO > ELEV > dis-urban

Only the two models that obtained the best values in each variable-type combination are shown. The rest of the models can be found in Tables S1 and S2 in the Additional file 1. The contribution percentage of the best-ranked variable in each model is indicated in brackets. The selected models are marked in bold.