Table 2 Regression models of PyC-age relationships with and without site effects
From: Wildfire legacies on pyrogenic carbon stocks in Amazonian peatlands
Models for PyC/TOC | Variables | ΔAIC* | Intercept | Slope | R2 | |
|---|---|---|---|---|---|---|
Models with all ages (N = 67) | ||||||
Model 1 | linear mixed effects model with random slope | age, site (random factor) | 0.0 | 0.80 | 0.34 | 0.78 |
Model 2 | linear mixed effects model with random intercept | age, site (random factor) | 9.9 | 0.57 | 0.81* | 0.83 |
Model 3 | simple polynomial model | age | 16.8 | 0.11 | 0.47* (1) 0.08* (2) | 0.77 |
Model 4 | simple linear model | age | 26.9 | −0.36 | 1.16* | 0.72 |
Models up to 3500 cal yr BP (N = 64) | ||||||
Model 1 | linear mixed effects model with random slope | age, site (random factor) | 0.0 | 0.85* | 0.43 | 0.96 |
Model 2 | linear mixed effects model with random intercept | age, site (random factor) | 51.1 | 0.97 | 0.43* | 0.91 |
Model 3 | simple polynomial model | age | 82.9 | 0.52* | −0.97* (1) 0.58* (2) | 0.42 |
Model 4 | simple linear model | age | 97.5 | 0.08 | 0.64* | 0.26 |
