Fig. 6From: Spatial and temporal variation in positioning probability of acoustic telemetry arrays: fine-scale variability and complex interactionsRelationship between logistic regression parameter estimates from positioning probability models (‘WaveHt’ = wave height, ‘TempDiff’ = difference between near-surface and near-substrate water temperature) and water depth at 43 sync tag sites. Data from the lake trout spawning (right column) and pre-spawning (left column) periods were analyzed separately. Lines in b, c, and d depict results of linear regression analysis, while lines in a depict results of segmented regression. Significant relationships occurred between parameter estimates and water depth during the pre-spawning period, but not during the spawning period (α = 0.05)Back to article page