Table S3.

Results of GLMM models using binomial error structure and testing the interactions among watering, fertilization, and individual species’ traits on the likelihood to each species to decrease/increase

Variable	SLA		Height		C:N ratio		LWC
	z	P	z	P	z	P	z	P
Watering (W)	1.91	0.0560	1.37	0.1710	−2.35	0.0187	−2.20	0.0280
Fertilization (F)	−4.48	<0.0001	−4.56	<0.0001	−3.92	0.0058	−2.35	0.0186
Trait (see column)	−1.54	0.1248	−5.55	<0.0001	−0.94	0.3499	NS	NS
W × Trait	−2.45	0.0143	−2.41	0.0158	1.72	0.0848	NS	NS
F × Trait	3.66	0.0003	3.39	0.0007	NS	NS	NS	NS

Each species in each plot obtained value 1 if it decreased from 2010 to 2014, and value 0 if it increased. In the models, individual species were nested within plots (i.e., plot was used as a random variable). Each trait was tested in its individual model to avoid multicollinearity. We used manual models simplification to identify the most parsimonious models and used χ test to assess the significance of each explanatory variable (at the end, the models included only significant explanatory variables with P < 0.05).