Table 1 (A) Model results predicting the total number of successful foraging attempts recorded by individual harbor seals relative to number of run visits, number of total visits, and individual ID. The change in AIC value is the difference between the tested model and the model of best fit (as determined by the lowest AIC value). (B) Generalized Linear Mixed-Effects Model (GLMM) output for the final, most parsimonious model describing the total number of successful attempts recorded by an individual harbor seal.
From: Individual variability in foraging success of a marine predator informs predator management
(A) | |||||
|---|---|---|---|---|---|
Models for total successes | Estimation method | df | AIC | ΔAIC | |
Successes ~ Mean Salmon | GLM | 2 | 606.0 | 204.1 | |
Successes ~ Mean Salmon + Total Visits | GLM | 3 | 502.8 | 101.0 | |
Successes ~ Mean Salmon + Run Visits | GLM | 3 | 452.9 | 51.0 | |
Successes ~ Mean Salmon + (1|ID) | GLMM | 3 | 438.9 | 36.9 | |
Successes ~ Run Years + (1|ID) | GLMM | 3 | 401.9 | 0 | |
(B) | |||||
|---|---|---|---|---|---|
Random effect | Variance | N | |||
ID | 1.14 | 169 | |||
Fixed effect | Estimate | 95% CI | SE | Z value | P value |
|---|---|---|---|---|---|
Run years | 0.57 | (0.39, 0.74) | 0.08 | 6.34 | << .001 |
