NEST SELECTION
Model Summaries
Final Model
NEST SUCCESS
Model Summaries
Final Model
SURVIVAL
Male
Female
| Model | Statistical.Significance |
|---|---|
| Global Model | No Convergance |
| Habitat Model | Close |
| Micro Model | Close |
| Macro Model | Significant |
| Global 100m Model | Significant |
| Global 200m Model | Significant |
| Global 400m Model | Significant |
| Forest 100m Model | Close |
| Forest 200m Model | Close |
| Forest 400m Model | Significant |
| Herb 100m Model | - |
| Herb 200m Model | - |
| Herb 400m Model | Close |
| Crop 100m Model | Significant |
| Crop 200m Model | Significant |
| Crop 400m Model | Significant |
| Other 100m Model | - |
| Other 200m Model | - |
| Other 400m Model | - |
| Forest Edge 100m Model | Significant |
| Forest Edge 200m Model | Significant |
| Forest Edge 400m Model | Significant |
| Basal Area Model | - |
| Forest Edge Dist Model | - |
| Height GC Model | Significant |
| Percent Canopy Closure Model | Significant |
| Percent Bare Ground Litter Model | Close |
| Percent Grasses Model | Significant |
| Percent Forbs Model | - |
| Percent WoodyVeg Model | Significant |
| Percent SC1 Model | Significant |
| Percent SC2 Model | Significant |
| Percent SC3 Model | Significant |
##
## Call:
## glm(formula = response ~ Crop_200m + Height_GC + Percent_Grasses,
## family = "binomial", data = Data_NestSelection)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -2.70045 -0.85859 0.07323 0.90080 2.18604
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -2.646564 0.850555 -3.112 0.00186 **
## Crop_200m -0.282680 0.085064 -3.323 0.00089 ***
## Height_GC 6.079467 1.422398 4.274 1.92e-05 ***
## Percent_Grasses -0.017617 0.008888 -1.982 0.04748 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 174.67 on 125 degrees of freedom
## Residual deviance: 136.39 on 122 degrees of freedom
## (4 observations deleted due to missingness)
## AIC: 144.39
##
## Number of Fisher Scoring iterations: 5
##
## Call:
## glm(formula = response ~ Crop_200m + Percent_Grasses, family = "binomial",
## data = Data_NestSelection)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -1.5103 -1.1476 0.1954 1.0194 1.7861
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.845046 0.330162 2.559 0.01048 *
## Crop_200m -0.195022 0.068522 -2.846 0.00443 **
## Percent_Grasses -0.014968 0.007986 -1.874 0.06091 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 174.67 on 125 degrees of freedom
## Residual deviance: 160.77 on 123 degrees of freedom
## (4 observations deleted due to missingness)
## AIC: 166.77
##
## Number of Fisher Scoring iterations: 4
***
| Model | Statistical.Significance |
|---|---|
| Global Model | - |
| Habitat Model | Weak Significance |
| Micro Model | - |
| Macro Model | Weak Significance |
| Weather Model | - |
| Global 100m Model | - |
| Global 200m Model | - |
| Global 400m Model | - |
| Forest 100m Model | - |
| Forest 200m Model | - |
| Forest 400m Model | - |
| Herb 100m Model | - |
| Herb 200m Model | - |
| Herb 400m Model | - |
| Crop 100m Model | - |
| Crop 200m Model | Weak Significance |
| Crop 400m Model | Weak Significance |
| Other 100m Model | - |
| Other 200m Model | - |
| Other 400m Model | - |
| Forest Edge 100m Model | - |
| Forest Edge 200m Model | - |
| Forest Edge 400m Model | - |
| Basal Area Model | - |
| Forest Edge Dist Model | - |
| Height GC Model | - |
| Percent Canopy Closure Model | - |
| Percent Bare Ground Litter Model | - |
| Percent Grasses Model | - |
| Percent Forbs Model | - |
| Percent WoodyVeg Model | - |
| Percent SC1 Model | - |
| Percent SC2 Model | - |
| Percent SC3 Model | - |
| Precipitation Amount Model | - |
| Precipitation Days Model | - |
| Mean Temp Model | - |
| Max Temp Model | - |
| Min Temp Model | - |
## Call:
## coxph(formula = response ~ Crop_200m + Percent_Forbs + HabitatType)
##
## n= 76, number of events= 34
##
## coef exp(coef) se(coef) z Pr(>|z|)
## Crop_200m -0.34078 0.71122 0.13594 -2.507 0.01218 *
## Percent_Forbs 0.03268 1.03322 0.01184 2.760 0.00578 **
## HabitatTypeEdge 0.32232 1.38033 0.42230 0.763 0.44532
## HabitatTypeForest 1.38800 4.00683 0.60707 2.286 0.02223 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## exp(coef) exp(-coef) lower .95 upper .95
## Crop_200m 0.7112 1.4060 0.5449 0.9284
## Percent_Forbs 1.0332 0.9678 1.0095 1.0575
## HabitatTypeEdge 1.3803 0.7245 0.6033 3.1583
## HabitatTypeForest 4.0068 0.2496 1.2192 13.1687
##
## Concordance= 0.728 (se = 0.056 )
## Likelihood ratio test= 15.01 on 4 df, p=0.005
## Wald test = 13.82 on 4 df, p=0.008
## Score (logrank) test = 15.1 on 4 df, p=0.004