In this paper, we investigate spatial relationships between vegetation
boundaries and environmental boundaries from a second-growth forest i
n southwestern Quebec, Canada. Four statistics that quantify the amoun
t of direct spatial overlap and the mean minimum distance between boun
daries are introduced and used to compute the degree of spatial co-occ
urrences between boundaries. The significance of these statistics is d
etermined using randomized and restricted permutation tests. Boundarie
s based on tree species density are found to significantly overlap the
locations of boundaries delineated by the environmental data at the s
tudy site. Significant overlap is also found using boundaries defined
by tree presence-absence data and environmental variables. Vegetation
boundaries based on tree species density and on tree presence-absence
data are not, however, at the same locations. This suggests that for t
he study site the two types of vegetation boundaries (tree density and
presence-absence) reflect different responses to underlying environme
ntal processes. Vegetation boundaries determined using species diversi
ty and species richness, although spatially related to the presence-ab
sence boundaries, did not overlap the environmental boundaries. Result
s of the two permutation tests (randomized and restricted) agree only
when the spatial relationship between the two boundary types is strong
. Overall, randomization is found to be a more conservative test for d
etecting boundary spatial relationships, rejecting the null hypothesis
of no spatial relationship fewer times than the restricted permutatio
n test.