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Table 2 Factors affecting bill surface area of 36 species of passerine from the Meliphagoidea

From: Spatial variation in avian bill size is associated with humidity in summer among Australian passerines

 

Wald statistic

Df

p-value

parameter

SE

(Intercept)

2354.543

1

<0.001

5.768

0.559

Wing Length

656.986

1

<0.001

0.01145

0.00056

SeasonCapture.autumn

49.425

3

<0.001

0

NA

 .winter

 

−0.00958

0.00543

 .summer

 

0.03092

0.00758

 .spring

 

0.01419

0.00543

Sex.female

59.914

1

<0.001

0

NA

 .male

 

0.02894

0.00423

YearCapture

10.097

1

0.001

−0.00089

0.00027

Humidity

66.511

1

<0.001

0.01802

0.00765

Tmax

0.514

1

0.473

0.00386

0.00743

Rain

0.668

1

0.414

−0.00058

0.00042

Humidity2

0.435

1

0.510

0.00048

0.0002

Tmax2

0.414

1

0.520

0.00012

0.00014

Rain2

0.239

1

0.625

6.28E-07

5.41E-07

Humidity * Tmax

4.284

1

0.038

−0.00085

0.00027

Humidity*Rain

0.491

1

0.483

−0.00004

0.00002

Tmax * Rain

5.250

1

0.022

0.00004

0.00002

Variance of random effects

Component

SE

 

Region

0.000502

0.000158

 

YearCapture

0.000163

0.0000821

 

Species

0.1485

0.0360

 

Residual

0.008474

0.000230

 
  1. Results are from a full mixed model of bill size (log-transformed) with fixed effects of body size (wing length), season of capture, sex and all weather variables and their interactions and quadratic terms, and random effects of species, IBRA region, year and residual effect (see Model 1 in Methods). The table shows Wald statistics, df, p-values, parameter estimates and standard errors (SE). Tmax is the mean maximum summer temperature; humidity is mean summer water vapour pressure (hPa), and rainfall is mean summer rainfall, all averaged for the preceding 5 summers prior to capture; summer is defined as the months December to February. Parameter estimates for Season of Capture are relative to autumn, and for Sex are for males relative to females. Log-likelihood of model = 5102.48. N = 2864 individuals, across 41 years, 36 species and 77 IBRA regions. Significant weather terms (p < 0.05) are shown in bold