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Table 1 Candidate linear mixed models with the response (percentage of vigilance time) as the dependent variable

From: Saltmarsh vegetation and social environment influence flexible seasonal vigilance strategies for two sympatric migratory curlew species in adjacent coastal habitats

Response variables

Models

df

logLik

AICc

Delta AICc

AICc weight

Percentage of vigilance time

HA + MS + SP + OB + HA:SP + HA:OB + MS:SP

10

 − 347.1

714.97

0

0.2

 

HA + MS + OB + HA:OB

7

 − 350.63

715.65

0.68

0.14

 

HA + MS + SP + CU + OB + HA:CU + HA:SP + HA:OB + MS:SP

12

 − 345.34

715.77

0.8

0.13

 

HD + HA + MS + SP + OB + HD:SP + HA:SP + HA:OB + MS:SP

12

 − 345.49

716.07

1.1

0.11

 

HA + MS + CU + HA:OB

7

 − 350.92

716.23

1.27

0.1

 

HA + MS + SP + OD + OB + HA:SP + HA:OB + MS:SP

11

 − 346.87

716.67

1.7

0.08

 

HA + MS + CU + OB + HA:CU

8

 − 350.16

716.82

1.85

0.08

 

HA + MS + SP + CU + HA:SP + MS:SP

10

 − 348.03

716.83

1.86

0.08

 

HD + HA + MS + SP + OB + HA:SP + HA:OB + MS:SP

11

 − 346.99

716.9

1.94

0.07

Frequency of vigilance

MS + OB + MS:SP

5

 − 95.96

202.13

0

0.89

 

MS + OB + DT

6

 − 96.96

206.21

4.09

0.11

  1. The models were chosen from among successive candidate models based on ΔAIC ≤ 2 and ranked based on Akaike weights (wi). The abbreviations for each predicting factors as follow: species (SP), habitat type (HA), human disturbance (HD), migration season (MS), observation distance (OD), number of individual curlews (CU), number of other birds (OB), absolute time to low tide (TT), time of the day (DT)
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Avian Research

ISSN: 2053-7166