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. 2023 Feb 26;13(2):e9770. doi: 10.1002/ece3.9770

TABLE 2.

Boosted regression tree model predictor variable contributions.

Predictor MARU1 MARU2 MARU3 MARU4 MARU5
Song (full)
logNPP 11.24 8.50 11.28 6.39 8.19
Month 66.63 59.62 58.08 77.28 70.78
SST 6.16 13.59 15.73 9.20 7.79
SST anomaly 4.13 6.68 7.38 3.04 8.41
Detection area 11.53 11.60 7.50 4.07 4.81
D calls (full)
logNPP 46.39 40.35 21.18 12.74 11.37
Month 33.82 45.78 47.55 44.83 64.26
SST 3.55 5.11 9.69 9.76 5.76
SST anomaly 3.75 5.71 15.42 13.69 7.23
Detection area 12.46 3.02 6.13 18.95 11.36
D calls (spring)
logNPP 38.26 85.15 18.67 11.29 16.87
SST 13.43 5.42 35.78 26.21 44.08
SST anomaly 8.98 4.74 33.58 21.13 7.60
Detection area 39.31 4.67 11.95 41.35 31.43
D calls (fall)
logNPP 48.34 37.66 37.53 16.88 25.94
SST 29.05 11.94 29.12 22.69 26.92
SST anomaly 13.90 38.71 21.05 36.34 32.68
Detection area 8.69 11.66 12.28 24.07 14.44
Song (fall)
logNPP 24.10 39.11 29.79 29.73 73.00
SST 25.92 15.50 44.58 44.44 11.48
SST anomaly 19.78 15.13 13.14 13.83 5.11
Detection area 30.18 30.24 12.47 11.98 10.39

Note: Variable contribution for the boosted regression tree models for song and D calls at each of the hydrophones. The percent contribution in the model is listed for each predictor. The full models with all seasons included are reported first for both call types, followed by the within‐season peaks for each call type.