Table 3 Coefficients for Bayesian multinomial model of crane behavioural categories based on accelerometry data.

From: Ecological Responses to Extreme Flooding Events: A Case Study with a Reintroduced Bird

Winter Variable Coefficient Lower 95% CRI Upper 95% CRI
2012–13 Flying −2.48 −3.24 −1.74
Stationary 0.62 −0.034 1.27
Flying × Julian Date 0.033 −0.045 0.11
Stationary × Julian Date −0.12 −0.16 −0.077
Flying × Flood Extent −0.13 −0.26 0.010
Stationary × Flood Extent −0.031 −0.10 0.041
Flying × Flood Extent2 −0.20 −0.37 −0.031
Stationary × Flood Extent2 −0.051 −013 0.039
Bird ID × Flying Random Effect σ = 0.86 0.54 1.70
Bird ID × Stationary Random Effect σ = 0.76 0.47 1.48
2013–14 Flying −3.29 −4.36 −2.16
Stationary 0.29 0.73 1.29
Flying × Julian Date 0.036 0.17 0.096
Stationary × Julian Date −0.18 −0.24 −0.13
Flying × Flood Extent −0.20 −0.34 −0.065
Stationary × Flood Extent −0.065 −0.12 −0.011
Flying × Flood Extent2 0.012 0.14 0.18
Stationary × Flood Extent2 −0.053 −0.096 −0.011
Bird ID × Flying Random Effect σ = 0.85 0.47 2.22
Bird ID × Stationary Random Effect σ = 0.81 0.44 2.083
  1. Coefficients show the effect of predictors on the probability of performing stationary and flying behaviour respectively compared to active behaviour. Random effects represent among-individual standard deviation in the probability of performing flying and stationary behaviour respectively. Winter 2012–13: N = 126,840 observations from 7 birds. Winter 2013–14: N = 49,440 observations from 4 birds. Fixed effects where 95% CRI does not cross zero are highlighted in bold.