Fig. 6

Partial dependence plots of boosted regression trees (BRTs) relating acoustic detections (yes/no) to environmental and vehicle predictors. The five most important predictors include a distance between the Wave Glider (WG) and mooring line, b noise, c angle between the WG receiver/transceiver and the mooring line, d WG heading and e wave height. Each line corresponds to a model in Table 2. Green lines represent the north mooring (V13 tag or receiver), and blue, red and yellow lines are the three transceivers (high, medium and low) on the mooring line. Backward and forward represent models that investigated drivers of acoustic detections on the WG transceiver/receiver. Very high represents models that investigated drivers of detections on the mooring lines from the very high transceiver mounted on the WG. These plots show the effect of a variable on the response after accounting for the average effects of other model variables