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. 2018 Jun 22;8:9555. doi: 10.1038/s41598-018-27859-3

Table 2.

The 24 most influential variables as determined by the boosted regression tree model, shown in order of relative influence.

Predictor Description Relative influence (%)
DFR Distance from roost 13.99
ECARR_3mo Change in ECARR over 3 months 5.85
AVGtmn_1mo Average minimum temperature of preceding month 5.12
ANOMtmn_1mo Cumulative minimum temperature anomaly over preceding month 4.23
EWDI1 Eucalypt Wetness Difference Index 1 4.20
ECBRR_6mo Change in ECBRR over 6 months 3.70
PREC_1mo_6mo Change in PREC_1mo over 6 months 3.29
EWDI1_3mo Change in EWDI1 over 3 months 3.08
EWDI1_12mo Change in EWDI1 over 12 months 3.08
PREC_9mo Cumulative precipitation of the preceding 9 months 2.99
PREC_12mo Cumulative precipitation of the preceding 12 months 2.92
EWDI2_1mo Change in EWDI2 over 1 month 2.70
ECBRR_12mo Change in ECBRR over 12 months 2.63
EWDI1_9mo Change in EWDI1 over 9 months 2.54
ANOMtmx_9mo Cumulative maximum temperature anomaly over preceding 9 months 2.44
ECARR_12mo Change in ECARR over 12 months 2.40
ECBRR Eucalypt Chlorophyll b Reflectance Ratio 2.26
ECBRR_9mo Change in ECBRR over 9 months 2.12
EWDI2_6mo Change in EWDI2 over 6 months 2.10
AVGtmx_1mo Average maximum temperature of preceding month 2.10
PREC_1mo Cumulative precipitation of the preceding month 1.96
ANOMtmn_3mo Cumulative minimum temperature anomaly over preceding 3 months 1.84
PREC_1mo_12mo Change in PREC_1mo over 12 months 1.57
ECARR_9mo Change in ECARR over 9 months 1.57

Predictors plotted in Fig. 3 are indicated in bold.