Restrictions on the size and proximity of clearcuts have led to the develop
ment of a variety of exact and heuristic methods to optimize the net presen
t value of timber harvests, subject to adjacency constraints. Most treat ha
rvest units as pre-defined, and impose adjacency constraints on any two uni
ts sharing a common border. By using graph theory notation to define sub-gr
aph adjacency constraints, opening size can be considered variable, which m
ay be more appropriate for landscape-level planning. A small example data s
et is used in this paper to demonstrate the difference between the two type
s of adjacency constraints for both integer programming and heuristic solut
ion methods.