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Table 7 The AICc weights for each variable used in the model selection procedure (see Tables 36). The values are the probabilities of a given environmental predictor being in the best approximating model (predictors with p > 0.8 are shown in bold)

From: Habitat type, food resources, noise and light pollution explain the species composition, abundance and stability of a winter bird assemblage in an urban environment

Parameter

Number of species

Between-year species composition similarity

Density

Between-year density similarity

BUILDINGS

0.4086

0.9702

0.0001

0.2125

ROADS

0.2886

0.9524

0.6321

0.2148

OPENAREAS

0.8242

0.9987

0.0007

0.0018

GREENERY

0.0085

0.0010

0.9972

0.0776

FORESTS

0.0000

0.0000

0.0000

0.0000

WATERS

0.0000

0.0000

0.0000

0.0762

LANDFILLS

0.0454

0.9253

0.0000

0.1010

FOODSOURCES

0.9471

0.0030

0.8512

0.1114

LIGHT

0.0000

0.0000

0.9626

0.8869

NOISE

0.9999

0.0000

0.9260

0.0001

POLLUTION

0.5506

0.5380

0.0000

0.0001