Table S2.

Interregional comparisons of AHI and dAHI values from forest inventory plots (n = 882)

Region	No. of plots	SA	CA	WAN	WAS	GS	EA	Random	No. of random points
Inventory plots: interregional comparison of AHI values
SA	47	NA	< 0.001	< 0.001	0.012	0.982	< 0.001	< 0.001	2,434
CA	366	< 0.001	NA	0.300	< 0.001	< 0.001	0.134	< 0.001	2,385
WAN	216	< 0.001	0.300	NA	0.005	< 0.001	0.013	< 0.001	1,870
WAS	166	0.012	< 0.001	0.005	NA	< 0.001	< 0.001	< 0.001	1,395
GS	60	0.982	< 0.001	< 0.001	< 0.001	NA	< 0.001	< 0.001	1,229
EA	27	< 0.001	0.134	0.013	< 0.001	< 0.001	NA	< 0.001	246
Inventory plots: Interregional comparison of dAHI values
SA	47	NA	< 0.001	0.885	0.020	< 0.001	< 0.001	< 0.001	2,435
CA	366	< 0.001	NA	< 0.001	< 0.001	< 0.001	0.007	< 0.001	2,385
WAN	216	0.885	< 0.001	NA	0.010	< 0.001	< 0.001	< 0.001	1,870
WAS	166	0.020	< 0.001	0.010	NA	0.252	< 0.001	0.07	1,395
GS	60	< 0.001	< 0.001	< 0.001	0.252	NA	< 0.001	0.27	1,229
EA	27	< 0.001	0.007	< 0.001	< 0.001	< 0.001	NA	< 0.001	246

Comparisons are P values from Nemenyi post hoc tests. Kruskal–Wallis tests indicated significant regional differences in both AHI values (χ² = 143, df = 5, P < 0.001) and dAHI values (χ² = 343, df = 5, P < 0.001). CA, central; EA, eastern; GS, Guiana Shield; NA, not applicable; SA, southern; WAN, northwestern; WAS, southwestern. “Random” is the P value from the Kolmogorov–Smirnov test that compared the number of plots in each region with the distribution of random points.