Regression Procedure | Akaike’s Information Criterion (AIC) | R2 (%) | Number of explanatory variables in the Model | Presence of spatial autocorrelation in residuals |
All Birds |
|
|
|
|
Quasi-Poisson | N/A | 25.9 | 15 | Yes |
Negative Binomial | 618.76 | 26.0 | 17 | Yes |
Poisson | 661.35 | 26.9 | 13 | Yes |
Landbirds |
|
|
|
|
Quasi-Poisson | N/A | 24.1 | 17 | Yes |
Negative Binomial | 588.71 | 24.0 | 12 | Yes |
Poisson | 610.46 | 25.0 | 15 | No |
Shorebirds |
|
|
|
|
Quasi-Poisson | N/A | 57.2 | 11 | Yes |
Negative Binomial | 264.82 | 57.3 | 11 | Yes |
Poisson | 262.27 | 63.0 | 8 | No |
Regression Procedure | Akaike’s Information Criterion (AIC) | R2 (%) | Number of explanatory variables in the Model | Presence of spatial autocorrelation in residuals |
Waterfowl |
|
|
|
|
Quasi-Poisson | N/A | 42.5 | 14 | Yes |
Negative Binomial | 346.13 | 42.5 | 14 | Yes |
Poisson | 342.78 | 43.0 | 13 | No |