Table 3. Logistic regression models evaluated for the prediction of alive and dead/dying plants (n = 34) using the Akaike Information Criterion.

Models for plant condition	n	K	Log likelihood	AICc	Δ AICc	wi
Salinity	34	2	18.37	22.76	1.9	0.22
Elevation	34	2	21.96	26.35	5.49	0.04
Salinity+elevation*	34	3	14.06	20.86	0	0.57
Salinity+elevation+salinityxelevation	34	4	13.97	23.35	2.49	0.17

Note: AIC_c is Akaike's Information Criterion corrected for small sample size; K is the number of estimable parameters in the model including the intercept; Δ AICc = relative AICc for each model compared to the best-supported model; and w_i = Akaike weight indicating the degree of support for each model (values range from 0 to 1). Best model is indicated by asterisk.