... stochastic programming models to explore the challenges and advantages of building spatial optimization models that account for the influences of random stand-replacing fires. Our exploratory test models simultaneously consider timber harvest and mature forest core area objectives. Random fire samples...

... treatment units are formed by spatial optimization, which aggregates small inventory units. The hypothesis is that the use of dynamic treatment units increases yield and improves the efficiency of forest use. Forest inventory based on airborne laser scanning provides data for small units, which must...

... estimation of the timber and nontimber tradeoffs associated with the test problem. In addition, the former two methods allowed a greater degree of user control and are easier to generalize to n-objective problems. FOR.SCI. 55(2):117–131. Keywords: multiobjective forest planning, spatial...

... superior to SA in terms of the objective function value of SA. The method is easy to use because it has few parameters. cellular automata dual prices dual problem Lagrangean relaxation linear programming simulated annealing spatial optimization An Application of a Reduced Cost Approach to Spatial...

... management area-based forest planning spatial optimization integer programming wildlife management habitat fragmentation environmental management forest forest management forest resources forestry forestry research forestry science natural resources natural resource management A Mixed-Integer...

...(4):631–642. Key Words: Forest management, area-based forest planning, spatial optimization, integer program- ming, area restriction models, unit restriction models. DJACENCY CONSTRAINTS in harvest scheduling models Brodie 1994). Adjacency constraints are of practical...

... forest problems, the true gap averaged 0.28% and 0.41%, respectively, when the reported gap was 1%. For. Sci. 47(3):403–418. Key Words: Area-based forest planning, spatial optimization, integer programming. OREST MANAGEMENT ORGANIZATIONS often face re- Bettinger 1999...

... on the old-growth age-class distribution typically took much longer to solve than comparable problems based on the other age-class distributions. FOR. SCI. 46(3): 423–536. Forest management harvest scheduling area-based forest planning spatial optimization integer programming environmental management...

... models. Results from these exploratory models are sensitive to initial forest conditions and do not display the steady state conditions typically assumed for uneven-aged management in the literature. For. Sci. 46(2):168-175. Integer programming spatial optimization seed trees sustainability...

...John Hof; Michael Bevers; Brian Kent © 1997 by the Society of American Foresters 1997 Abstract This paper discusses spatial optimization approaches to managing aggressively reproducing and dispersing pests. The relevant land planning area is divided into cells, and pest growth and dispersal...

... of agricultural pollution control programs. land use nonpoint pollution spatial optimization Optimal Spatial Management of Agricultural Pollution John B. Braden, Gary V. Johnson, Aziz Bouzaher, and David Miltz Reducing emissions is not the only way to control...

... are used to devise optimal management strategies and address questions to ascertain different types of intervention. Commonly formulated as a mathematical model for optimal control, dynamic programming, and spatial optimization, bioeconomic models rely on the elucidation of the dynamics of impact, economic...

...This chapters provides a broad outline of spatial analysis, a collection of methods that share the common characteristic that spatial proximity and relationships matter. We focus on three specific areas: exploratory spatial data analysis, spatial regression and spatial optimization. Anselin Luc...