Model Parameters | | | | | | | |
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Response | Predictors | Random | Likelihood | AIC | Total Deviance from Model | Deviance Explained (%) | *Chi-Squared* | Degrees of freedom | *p* value |
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Time in Patch | 1 (null model) | (1|Track) | ML | | 141.05 | | | | |

Time in Patch | Distance travelled to get to patch | (1|Track) | ML | 145.7 | 135.7 | 3.79% | 0.584 | 1 | 0.444 |

Number of patches per individual per night | | | | | | 5.028 | 1 | 0.025 |

Time in Patch | Activity within patch (% of time spent resting) | (1|Track) | ML | 146.1 | 136.1 | 3.53% | 0.165 | 1 | 0.685 |

Number of patches per individual per night | | | | | | 5.324 | 1 | 0.021 |

Time in Patch | Area of patch | (1|Track) | ML | 136.7 | 126.7 | 10.18% | 13.349 | 1 | 0.0002 |

Number of patches per individual per night | | | | | | 7.446 | 1 | 0.006 |

- LMEs were done in the
*lmer* framework in R. Time in patch was calculated as the total time (min) spent in a patch and derived from the start and end times of patch use from a First Passage Time (FPT) analysis. Distance travelled to get to patch (m) and area of patch (m^{2}) were measured in ArcGIS. Activity within patch (% of time spent resting) was calculated using the *k*-means analysis. Number of patches per individual per night was added to each model to account for temporal autocorrelation associated with time spent, and individual per night was included as a random factor. Maximum Likelihood (ML) was used to obtain AIC and deviance values. Percent deviance explained was calculated by subtracting the total deviance from the model from the null deviance and dividing by the null deviance. The AIC values are from the model summary and for each model independently, as no model comparison was made. Chi-squared values, degrees of freedom, and *p* values were obtained from the Anova function in the *car* package in R