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Table 1 Composition, evaluation scores (AUCtest, AICc and MPA) and variable contribution ranks of the best models

From: Unveiling the factors shaping the distribution of widely distributed alpine vertebrates, using multi-scale ecological niche modelling of the bat Plecotus macrobullaris

Broad-scale modelling

Type

Model

β

AUCtest

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

  1. 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.