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Table 2 Factors associated with body condition (mass after accounting for size) for (a) red-winged fairy-wrens and (b) white-browed scrubwrens captured during the spring and summer months (October–March) between 1977 and 2014

From: Associations between changing climate and body condition over decades in two southern hemisphere passerine birds

Model Intercept AnnNColdDays Julian day Age NHotDryDays Rain30D Body size Time of day TmaxDB4 Sex (male) df AICc Delta Weight
(a) Red-Winged Fairy-Wren
 1 9.576 ± 0.028 0.024 ± 0.016 −0.053 ± 0.021 0.029 ± 0.017 − 0.043 ± 0.017 0.098 ± 0.022 0.090 ± 0.021 0.176 ± 0.018 0.097 ± 0.020 0.517 ± 0.041 13 2112.510 0.000 0.249
 2 9.575 NA − 0.051 0.031 − 0.043 0.103 0.089 0.176 0.097 + 12 2112.606 0.096 0.238
 3 9.573 0.026 −0.057 NA − 0.045 0.096 0.096 0.175 0.098 + 12 2113.346 0.836 0.164
 4 9.572 NA −0.055 NA −0.044 0.100 0.096 0.175 0.098 + 11 2113.804 1.295 0.131
(b) White-browed scrubwren
 1 10.943 NA NA NA NA NA 0.085 ± 0.034 0.130 ± 0.025 NA 0.751 ± 0.077 7 1175.632 0.000 0.064
 2 10.943 NA NA NA NA NA 0.088 0.135 0.034 + 8 1175.745 0.112 0.060
 3 10.943 NA −0.032 NA NA NA 0.090 0.137 0.050 + 9 1176.411 0.778 0.043
 4 10.950 NA NA −0.031 NA NA 0.099 0.129 NA + 8 1176.538 0.906 0.040
 5 10.943 NA NA NA NA 0.029 0.089 0.136 0.049 + 9 1176.631 0.999 0.039
 6 10.950 NA NA −0.029 NA NA 0.101 0.135 0.033 + 9 1176.794 1.161 0.036
 7 10.951 NA −0.036 −0.033 NA NA 0.105 0.136 0.050 + 10 1177.128 1.495 0.030
 8 10.942 NA NA NA 0.016 NA 0.084 0.132 NA + 8 1177.128 1.496 0.030
 9 10.945 −0.012 NA NA NA NA 0.087 0.128 NA + 8 1177.467 1.835 0.025
 10 10.945 −0.014 NA NA NA NA 0.090 0.134 0.035 + 9 1177.509 1.876 0.025
 11 10.943 NA −0.009 NA NA NA 0.085 0.130 NA + 8 1177.556 1.923 0.024
 12 10.943 NA NA NA NA 0.006 0.085 0.129 NA + 8 1177.623 1.991 0.023
 13 10.943 NA NA NA 0.010 NA 0.087 0.136 0.031 + 9 1177.624 1.992 0.023
  1. Shown are standardized coefficients and their standard errors (s.e.) for variables included in the top models with ∆AICc less than 2, following model selection based on AICc. All variables were standardised and climatic variables identified as important in the best model have 95% CIs of estimated coefficients that do not overlap zero and are shown in bold. Models were ranked by ∆AICc values. NA represents variables that were not included in the model
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