Fig. 3

Predicted transmitter detection probability at 1000 m (DP ₁₀₀₀) estimated by Generalized Additive Model (back-transformed) for monthly patterns at each line in Lake Huron. A cubic regression smoother was fit to each station as a function of month and used to predict the probability of detecting an acoustic transmission for each week of the study. Figure represents predicted probabilities for most parsimonious GAM model identified from candidate models using AIC. Line color distinguishes paired transmitters (tag) at each line, and dashed lines represent 2 SE above and below smoother estimate