Table 1.

Summary of the top logistic regression model sets (evidence ratio greater than 10) predicting the presence of panda sign, out of a total of 256 models resulting from the full model set. The models are in descending order indicating the most to least supported based on Akaike information criteria (AIC). K, number of predictors in the model; ΔAIC, difference in AIC value from that of the best model; Wi, Akaike weight of the ith model, representing the probability that the ith model is the best model in the candidate group; W1/Wi, evidence ratio, comparing the model with the highest Akaike weight (w1) to the ith model (wi) in the candidate group.

model construction	K	AIC	ΔAIC	AIC weights (Wi)	evidence ratios (W1/Wi)
bamboo presence, slope, forest age, tree DBH, understory height	6	4830.85	0	0.214	1.00
bamboo presence, slope, forest age, tree DBH, understory height, shrub cover	7	4831.64	0.79	0.143	1.48
bamboo presence, slope, forest age, tree canopy, tree DBH, understory height	7	4832.37	1.52	0.099	2.14
bamboo presence, elevation, slope, forest age, tree DBH, understory height	7	4832.76	1.91	0.082	2.60
bamboo presence, slope, forest age, tree canopy, tree DBH, understory height, shrub cover	8	4833.23	2.38	0.065	3.29
bamboo presence, elevation, slope, forest age, tree DBH, understory height, shrub cover	8	4833.58	2.73	0.055	3.92
bamboo presence, elevation, slope, forest age, tree canopy, tree DBH, understory height	8	4834.31	3.46	0.038	5.64
bamboo presence, slope, forest age, tree DBH	5	4834.32	3.47	0.038	5.67
bamboo presence, elevation, forest age, tree canopy	5	4834.42	3.57	0.036	5.96
bamboo presence, forest age, tree DBH, understory height	5	4834.72	3.87	0.031	6.93
bamboo presence, elevation, slope, forest age, tree canopy, tree DBH, understory height, shrub cover	9	4835.19	4.34	0.024	8.76