Quercus suber forest and Pinus plantations show different post-fire resilience in Mediterranean north-western Africa

Table 2 Summary results of the generalized linear mixed models (GLMMs) and general linear model (GLMs) analyzing the influence of fire on structure (STR) and composition (SP) of the vegetation in burnt sites from north-western Africa

Response variable	Model type	Fire			Forest types			Fire*forest			Elevation
Response variable	Model type	Estimate	t/z value	p	Estimate	t/z value	p	Estimate	t/z value	P	Estimate	t/z value	P
Canopy	GLMMs	1.225	11.403	< 0.0001	0.702	3.591	0.0003	− 0.962	− 7.093	< 0.0001	− 0.0001	− 0.597	ns
Tree height	GLMMs	0.838	4.128	< 0.0001	0.452	1.295	ns	− 0.643	− 2.436	0.014	− 0.0004	− 0.969	ns
Shrub cover	GLMMs	0.158	2.817	0.0048	0.115	1.197	ns	− 0.192	− 2.422	0.015	− 0.00010	− 0.518	ns
Grass cover	GLMMs	− 0.023	− 0.342	ns	− 0.004	− 0.035	ns	0.129	1.322	ns	0.00011	0.486	ns
Bare ground cover	GLMMs	− 0.183	− 2.786	0.0053	− 0.112	− 1.058	ns	0.336	3.389	0.0007	0.00010	0.440	ns
Litter cover	GLMMs	− 0.258	− 2.488	0.0129	− 0.212	− 0.903	ns	0.170	0.898	ns	0.0000	0.151	ns
Rock cover	GLMMs	0.356	2.118	0.0342	0.503	2.518	0.0118	− 0.149	− 0.691	ns	0.0012	3.224	0.0012
Simpson index (STR)	GLMs	0.0000	2.126	0.0378	0.0000	2.474	0.0165	0.0000	− 1.275	ns	0.0000	1.274	ns
PC1	GLMs	− 0.195	− 0.275	ns	2.064	2.854	0.0060	0.889	0.869	ns	0.0031	5.498	< 0.0001
PC2	GLMs	0.028	0.044	ns	3.550	5.107	< 0.0001	− 0.202	− 0.214	ns	− 0.003	− 4.262	< 0.0001
Simpson index (SP)	GLMs	0.0000	0.127	ns	0.0000	0.225	ns	0.0000	− 0.086	ns	0.0000	− 0.054	ns

z values are provided for data modeled with Poisson distribution and t values for those modeled with Gaussian distribution. Significant P values are in italic. PC1 and PC2 are scores of the first two axes of a principal components analysis based on the matrix of all plant species cover at each transect
ns not significant tests

ISSN: 1297-966X