Table 1. Final logistic regression models for habitat prediction of segment category in eastern chipmunks after stepwise selection from full models with response variable 0 = between population segment, 1 = within population segment.
| Width | Variable | Estimate | Std. Error | Upper 95% CI | Lower 95% CI | Pr|t| > 0 | Residual Deviance | p-value |
|---|---|---|---|---|---|---|---|---|
| 3m | 75.112 | 0.009 | ||||||
| Intercept | -1.206 | 0.006 | -1.194 | -1.218 | 0.136 | |||
| Forest | 2.580 | 0.005 | 2.589 | 2.571 | 0.014 | % Exp | ||
| NTC | 20.999 | 0.054 | 21.106 | 20.892 | 0.106 | 14.0 | ||
| Grassland | 8.501 | 0.027 | 8.554 | 8.447 | 0.089 | |||
| 10m | 74.186 | 0.020 | ||||||
| Intercept | -0.187 | 0.008 | -0.171 | -0.204 | 0.790 | |||
| Forest | 1.869 | 0.006 | 1.882 | 1.858 | 0.061 | % Exp | ||
| Grassland | 7.765 | 0.029 | 7.820 | 7.709 | 0.143 | 13.6 | ||
| Shrubland | -5.878 | 0.018 | -5.843 | -5.912 | 0.177 | |||
| Water | -6.431 | 0.022 | -6.387 | -6.475 | 0.102 | |||
| 25m | 72.298 | 0.006 | ||||||
| Intercept | -1.023 | 0.015 | -0.994 | -1.052 | 0.264 | |||
| Forest | 2.548 | 0.008 | 2.564 | 2.532 | 0.022 | % Exp | ||
| NTC | 22.487 | 0.065 | 22.614 | 22.360 | 0.110 | 17.3 | ||
| Grassland | 9.586 | 0.032 | 9.649 | 9.522 | 0.079 | |||
| 50m | 73.307 | 0.003 | ||||||
| Intercept | -1.491 | 0.004 | -1.482 | -1.499 | 0.053 | |||
| Forest | 2.816 | 0.005 | 2.825 | 2.807 | 0.009 | % Exp | ||
| NTC | 27.276 | 0.060 | 27.393 | 27.159 | 0.085 | 16.1 | ||
| Grassland | 9.970 | 0.037 | 10.043 | 9.898 | 0.062 | |||
| 100m | 68.377 | 0.002 | ||||||
| Intercept | -0.753 | 0.007 | -0.739 | -0.767 | 0.376 | |||
| Forest | 2.190 | 0.005 | 2.201 | 2.179 | 0.066 | % Exp | ||
| NTC | 26.597 | 0.099 | 26.792 | 26.402 | 0.136 | 21.8 | ||
| Grassland | 19.122 | 0.043 | 19.206 | 19.038 | 0.024 | |||
| TC | -24.873 | 0.063 | -24.749 | -24.996 | 0.062 | |||
| 200m | 62.830 | <0.001 | ||||||
| Intercept | -0.484 | 0.008 | -0.469 | -0.499 | 0.544 | |||
| Forest | 2.265 | 0.005 | 2.274 | 2.256 | 0.111 | % Exp | ||
| NTC | 39.698 | 0.112 | 39.918 | 39.478 | 0.072 | 28.1 | ||
| Grassland | 21.282 | 0.037 | 21.354 | 21.209 | 0.014 | |||
| TC | -36.500 | 0.092 | -36.349 | -36.710 | 0.026 | |||
| Shrubland | -7.515 | 0.021 | -7.474 | -7.555 | 0.218 | |||
| Water | -7.015 | 0.049 | -6.918 | -7.112 | 0.119 | |||
| 400m | 62.455 | <0.001 | ||||||
| Intercept | -0.520 | 0.006 | -0.507 | -0.532 | 0.541 | |||
| Forest | 2.701 | 0.005 | 2.711 | 2.690 | 0.085 | % Exp | ||
| NTC | 54.038 | 0.139 | 54.312 | 54.765 | 0.023 | 28.5 | ||
| Grassland | 18.304 | 0.044 | 18.390 | 18.218 | 0.019 | |||
| TC | -53.261 | 0.105 | -53.057 | -53.467 | 0.010 | |||
| Shrubland | -7.813 | 0.013 | -7.788 | -7.838 | 0.157 | |||
| Water | -6.441 | 0.029 | -6.385 | -6.497 | 0.158 | |||
| 1000m | 74.491 | 0.007 | ||||||
| Intercept | -0.006 | 0.014 | 0.021 | -0.033 | 0.467 | |||
| Grassland | 13.146 | 0.043 | 13.230 | 13.063 | 0.020 | % Exp | ||
| 14.8 |
All metrics were calculated from the 1000 bootstrap iterations of each model, and parameters were included if stepwise AIC retained them in at least 900 bootstrap iterations. Shown for each segment width are: the selected variables, mean beta estimates, standard errors with 95% confidence intervals, and average p-values for each beta estimate (Pr|t| > 0). Statistics for the overall models include model residual deviance (null deviance = 87.350 for all models), average percent deviance explained by the model (% Exp), and p-value of the Chi-squared test of significance for the model. Land cover abbreviations are: NTC = non-treed corridor and TC = treed corridors.