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Table 2 Summary of the models examined to explain variation in morphological patterns of trait matching between insect and plant species.

From: Predictable patterns of trait mismatches between interacting plants and insects

Phylogeny Analysis λ lambda AIC w i ΔAIC Slope± SE UCL:LCL P Df
  Conventional   1031.1 <0.0001 36.82 0.783 ± 0.023   <0.0001 135
Insect Phylogenetic 0.797 988.6 >0.999   0.645 ± 0.028 0.700: 0.590 <0.0001  
Plant Phylogenetic 0.499 1025.4 <0.00001 42.52 0.765 ± 0.025 0.815: 0.715 <0.0001  
  RMA      0.827 ± 0.022 0.784: 0.870 <0.0001  
  1. Each model was tested using either (1) an actual phylogenetic hypothesis for one taxon (plants or insects), assuming equal branch lengths (see Methods), or (2) a "star-shaped" phylogeny with all species equally related, equivalent to a conventional non-phylogenetic analysis or (3) using reduced major axis (RMA) regression without any phylogenetic adjustment. LCL: lower 95% confidence limit; UCL: upper 95% confidence limit. λ lambda is a measure of phylogenetic correlation (for details of how this is calculated see Halsey et al. 2006); AIC is Akaike's information criterion; wi is the Akaike weight, the probability that the model is the correct one of those tested [67]. RMA confidence limits calculated by bootstrapping (1000 bootstraps) in RMA for JAVA v. 1.21 [63].