Table 1. Skill of discriminant models in predicting the modern distributions of blue and valley oak.
| Satellite data
|
Range maps
|
|||
|---|---|---|---|---|
| Model | Percent correct | κ | Percent correct | κ |
| Blue oak | ||||
| (50%) | 82 | 0.41 | 84 | 0.50 |
| (80%) | 87 | 0.48 | 87 | 0.53 |
| Valley oak | ||||
| (50%) | 71 | 0.10 | 81 | 0.52 |
| (80%) | 79 | 0.12 | 83 | 0.51 |
Numbers in parentheses indicate the likelihood threshold for assigning individual cells to the oak-present group in the discriminant model. Increasing the threshold from 50% to 80% likely improves the models' match to the satellite data and range maps, reducing the modern area predicted as suitable for blue oak (–24%) and valley oak (–27%). Percent correct reflects the percentage of all cells correctly assigned to oak-present and oak-absent groups. κ values account for the cells that would be assigned correctly by chance, where κ < 0.4 is poor agreement, 0.4 < κ < 0.55 is fair agreement, 0.55 < κ < 0.70 is good agreement, and κ > 0.7 is very good to excellent agreement (24).