Table 1 Comparison between different Cox proportional hazard models predicting tree mortality across Amazonian forests.

From: Tree mode of death and mortality risk factors across Amazon forests

Tree-level coefficients

Species-level coefficients

∆AIC

Model description

Rel. growth + D + D2

Max D + mean growth + WD + WDA

0

Full model

Rel. growth + D + D2

Max D + mean growth + WD

0.4

Excluding WDA

Rel. growth + D

Max D + mean growth + WD + WDA

132

Linear relationship with size

Rel. growth + D + D2

Max D + mean growth + WDA

139

Excluding WD

Rel. growth

Max D + mean growth + WD + WDA

226

Excluding stem size

D + D2

Max D + mean growth + WD + WDA

260

Excluding stem relative growth

 

Max D + mean growth + WD + WDA

497

Species-level risk factors only

Rel. growth + D + D2

Mean growth + WD + WDA

1330

Excluding species max size

Rel. growth + D + D2

Max D + WD + WDA

1734

Excluding species mean growth

 

Mean growth

2652

Species mean growth only

Rel. growth + D + D2

 

3283

Tree-level risk factors only

Rel. growth

 

3591

Relative growth only

  

3646

Null model

  1. Models vary according to risk factors considered, including tree-level characteristics: size, represented by tree diameter (D) and relative stem diameter growth rates (rel. growth) and species traits: maximum stem diameter size (max D), mean stem diameter growth rate (mean growth), wood density (WD) and drought tolerance represented as water-deficit affiliation33 (WDA). The importance of each risk factor is represented by comparing models based on the difference in Akaike’s Information Criterion (ΔAIC). The model with the lowest AIC is the one that contains the best combination of variables and is used as the reference for model comparison. Models are considered different when ΔAIC is >2. The full model was the best model after comparison using the stepAIC R function.
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