The processes that generate spatial patterns of organisms are often in
ferred from analysis of the patterns themselves. To test the reliabili
ty of such inferences, we examined spatial patterns of tree mortality
over 16 years in a permanent 1-ha study area where causes of mortality
are reasonably well known. The area is an old-growth stand in the Cas
cade Mountains of Oregon, dominated by Abies amabilis (60% of stems bu
t only 12% of basal area), Abies procera (52% of basal area), and Pseu
dotsuga menziesii (22% of basal area). Mortality was dominated by the
two Abies species. Dying A. amabilis occupied lower canopy strata and
often had been suppressed or damaged by falling limbs or trees. Dying
A, procera occupied upper canopy strata and often had been attacked by
pathogens. The positions of dying trees and causes of mortality sugge
sted that dying A. amabilis should be found near canopy trees and that
dying A. procera should be aggregated. These hypotheses were tested b
y quadrat- and distance-based methods. On average, dying A. amabilis w
ere not significantly closer to canopy trees than expected for a rando
m distribution or closer than random selections of trees from the enti
re population of A. amabilis. Dying A. procera were aggregated at a sc
ale of about 20 m; however, the degree of aggregation was nor signific
ant compared with the distribution of the entire population. The poten
tial for large falling trees to strike other trees at some distance fr
om their bases, and the underlying non-random distribution of some tre
e populations, may limit the extent to which causes of tree mortality
can be inferred from spatial patterns.