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. 2017 Aug 7;114(35):9385–9390. doi: 10.1073/pnas.1704815114

Table 1.

Results of the PLRs testing the link between the different predictors and establishment success

Univariate models Best model
Variables Coefficients D2 Coefficients D2 ΣwAIC
Event-level factors
 Years since introduction 0.776 (0.731, 0.835) 0.10 0.570 (0.540, 0.599) 0.26 1.00 (0.97, 1.00)
 Introduction events 0.912 (0.877, 0.947) 0.08 0.566 (0.541, 0.610) 0.64 (0.57, 0.71)
 Imported birds 0.643 (0.594, 0.682) 0.07 1.012 (0.982, 1.036) 1.00 (1.00, 1.00)
Species-level factors
 Clutch size 0.291 (0.240, 0.355) 0.01 0.560 (0.527, 0.590) 0.55 (0.43, 0.70)
 Brood value 0.186 (0.149, 0.260) 0.01 0.22 (0.15, 0.32)
 Body mass −0.347 (−0.403, −0.293) 0.03 0.12 (0.10, 0.14)
 Range size 0.278 (0.107, 0.339) 0.00 0.10 (0.08, 0.13)
 Brain size 0.361 (0.372, 0.450) 0.03 0.17 (0.11, 0.30)
 Niche breadth 0.417 (0.270, 0.439) 0.03 0.669 (0.64, 0.702) 0.98 (0.96, 1.00)
 Migrant −0.464 (−1.239, −0.141) 0.02 0.12 (0.10, 0.14)
Location-level factors
 Climate matching 0.136 (−0.075, 0.215) 0.00 0.09 (0.07, 0.11)

Standardized regression coefficients are shown for univariate models and for the best multivariate model based on AICc. The parameter estimates that are significantly different from zero (P < 0.05) are indicated by bold numbers. Relative importance of variables (ΣwAIC) based on a multimodel information theory-based approach is shown. Variables with the strongest support (ΣwAIC ≥ 0.8) are shown in bold. Regression coefficients and ΣwAIC values represent the median and the central range that contains 95% of values for 1,000 phylogenetic trees. Goodness-of-model fit, as evaluated by calculating the explained deviance (D2) from the nonphylogenetic logistic regression, is also provided.