Table 2 Linear mixed effect models used to model variation in canopy structure attributes as a function of climate and disturbance predictors. We scaled the continuous predictors in each model
A) LAI (bounded between 0 and 10), Linear mixed effects model | |
Global model | MWD * Protection + Poppress * Protection + MinT * Protection + Slope * Protection + LatLong + (1 + MWD|Continent) |
N final models | 2 |
Model importance and sign of coefficient estimates (conditional model-average) | Intercept: + 0.342 |
Protection = 1: 1, + 0.117 | |
MinT: 1, + 0.036 | |
MWD: 0.72, − 0.073 | |
Protection: MWD: 0.72, + 0.046 | |
B) FCover (bounded between 0 and 100), Linear mixed effects model | |
Global model | MWD * Protection + Poppress * Protection + MinT * Protection + Slope * Protection + LatLong + (1 + MWD|Continent) |
N final models | 1 |
Model importance and sign of coefficient estimates | Only one final model, so all predictors equally important. |
Intercept: + 0.409 | |
Protection = 1: + 0.179 | |
MinT: 1, + 0.063 | |
MWD: 1, − 0.197 | |
Protection: MWD: 1, + 0.085 | |
LatLong: 1, − 0.068 | |
C) FAPAR (bounded between 0 and 1), Linear mixed effects model | |
Global model | MWD * Protection + Poppress * Protection + Ele_Min * Protection + Slope * Protection + LatLong + (1 + MWD|Continent) |
N final models | 2 |
Model importance and sign and of coefficient estimates | Intercept: P+ 0.597 |
Protection = 1: 1, + 0.165 | |
Ele_Min: 1, − 0.092 | |
MWD: 1, − 0.142 | |
Protection: MWD: 1, + 0.091 | |
Slope: 0.42, + 0.027 | |