Table 3.

Regression analysis relating the different productivity components to physiographic, edaphic and climatic, and stand structural variables across the four forest types on Mt. Kilimanjaro

	Elevation		Mean annual temperature		Mean annual precipitation		Soil C:N ratio		pH (KCl)		Aboveground biomass		Basal area
	r2	P	r2	P	r2	P	r2	P	r2	P	r2/ r2adj	P	r2	P
NPP total	− 0.87	< 0.001	0.76	< 0.001	0.61	< 0.01	− 0.43	< 0.05	− 0.09	n.s	0.47	< 0.05	0.54	< 0.01
NPP aLF	− 0.85	< 0.001	0.79	< 0.001	0.53	< 0.01	− 0.46	< 0.05	− 0.01	< 0.1	0.68	< 0.01*	0.47	< 0.05
NPP aW	− 0.60	< 0.01	0.46	< 0.05	0.55	< 0.01	− 0.21	n.s	− 0.21	n.s	0.32	< 0.01	0.60	< 0.01
NPP CR	− 0.62	< 0.01	0.48	< 0.05	0.55	< 0.01	− 0.21	n.s	− 0.20	n.s	0.64	< 0.01	0.63	< 0.01
NPP FR	− 0.04	n.s	0.05	n.s	0.01	n.s	− 0.09	n.s	− 0.01	n.s	-0.18	n.s	-0.11	n.s

NPP in Mg ha⁻¹ year⁻¹, elevation in m a.s.l., mean annual temperature in °C, mean annual precipitation in mm, aboveground biomass in Mg ha⁻¹ and basal area in m² ha⁻¹. Significant relations are marked in bold (P < 0.05); nonlinear relations are indicated by (*) and the r²_adj is given. Negative relations are indicated by (−)

Given is the r² (adjusted r² in the case of nonlinear relations) and the P value of the relationships

aLF aboveground litter fall, aW aboveground wood, CR coarse roots, FR fine roots