Table 3.
Nonparametric multiplicative regression (NPMR) results for models predicting Columbia spotted frog occupancy in three states
State | n Sites | logβ | Bootstrap results1 | N*2 | Predictor3 | Sensitivity | Tolerance |
---|---|---|---|---|---|---|---|
ID | 78 | 7.5 | 6.5 ± 0.22 | 15.9 | (+) MAXDEPTH | 0.07 | 1.5 (60%) |
(±) HABITAT | na | na | |||||
OR | 75 | 9.9 | 9.7 ± 0.19 | 15.7 | (±) HABITAT | na | na |
(^) VEGHT | 0.1 | 24.7 (15%) | |||||
(+) MAXDEPTH | 0.05 | 0.7 (35%) | |||||
NV | 778 | 16.6 | 18.8 ± 0.38 | 71.8 | (+) MAXDEPTH | 0.14 | 0.5 (20%) |
(s) EMERGVEG | 0.08 | 10 (20%) | |||||
(±) FISHSTATUS | na | na | |||||
(±) LOTICLENTIC | na | na |
Mean ± SE logβ from 100 bootstrap resampling runs.
N*, the average neighborhood size, is the average number of sample units contributing to the estimate of occupancy at each point on the modeled surface.
Symbols in parentheses indicate the general direction of the relationship between each predictor and response variable: “+” indicates positive, “^” indicates Gaussian, “s” indicates sigmoidal, and “±” indicates that the variable is categorical (and that sensitivity and tolerance values are not applicable).