Table 3 Competing GLMMs for evaluating the influence of different biological traits and environmental variables on birds’ flight activity (computed as a weighted rate of perched fix).

From: Influence of individual biological traits on GPS fix-loss errors in wild bird tracking

Model

Factors

K

AIC

∆AIC

W

M1

Territ + Br_S + (1|Indiv)

4

7154.2

0.00

0.3

M2

Sex + Territ + Br_S + (1|Indiv)

5

7154.4

0.19

0.3

M3

Age + Sex + Territ + Br_S + (1|Indiv)

8

7155.1

0.90

0.2

M4

Age + Territ + Br_S + (1|Indiv)

7

7155.4

1.17

0.2

  1. The individual (Indiv) was included as a random factor. We present the most parsimonious selected models with ΔAIC < 2. K total number of parameters (explanatory terms + random term + residual deviance), AIC corrected Akaike Information Criterion, ΔAIC difference between the AIC value for that model and the best model, W Akaike weights. Biological traits included: age (Age), territorial status (Territ), breeding season (Br_S), and sex (Sex). Environmental variables were topographic altitude, surface solar radiation, and total precipitation, but none was selected for the final models.
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