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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

From: Tropical forest canopies and their relationships with climate and disturbance: results from a global dataset of consistent field-based measurements

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