Spatial Environmental Concerns

  • Alan T. Murray
Part of the International Series In Operations Research amp; Mana book series (ISOR, volume 99)

Balancing utilization and protection of the natural environment is a challenging task. Forest management in particular continues to deal with trade-offs inherent to responsible timber harvesting. This chapter focuses on harvest scheduling where one is interested in maximizing economic returns subject to maintaining a continued supply of timber in the future. This necessarily means managing resources in a sustainable manner. As such addressing spatial issues related to environmental concerns is critical. This chapter reviews approaches that have been relied upon to limit localized impacts of harvesting activity.


Management Unit Area Restriction Model Projected Graph Adjacency Constraint Harvest Schedule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Bettinger, P., D.L. Johnson and K.N. Johnson (2003). Spatial forest plan development with ecological and economic goals. Ecological Modelling 169: 215-236.CrossRefGoogle Scholar
  2. Caro, F., M. Constantino, I. Martins and A. Weintraub (2003). A 2-opt tabu search procedure for the multiperiod forest harvesting problem with adjacency, greenup, old growth and even flow constraints. Forest Science 49: 738-751.Google Scholar
  3. Clark, M.M., R.D. Meller and T.P. McDonald (2000). A three-stage heuristic for harvest scheduling with access road network development. Forest Science 46: 204-218.Google Scholar
  4. Falcao, A.O. and J. Borges (2002). Combining random and systematic search heuristic procedures for solving spatially constrained forest management scheduling models. Forest Science 48: 608-621.Google Scholar
  5. Goycoolea, M., A.T. Murray, F. Barahona, R. Epstein and A. Weintraub (2005). Harvest scheduling subject to maximum area restrictions: exploring exact approaches. Operations Research 53: 490-500.CrossRefGoogle Scholar
  6. Hokans, R.H. (1983). Evaluating spatial feasibility of harvest schedules with simulated stand-selection decisions. Journal of Forestry 81: 601-603, 613.Google Scholar
  7. Kirby, M., W. Hager and P. Wong (1986). Simultaneous planning of wildland management and transportation alternatives. TIMS Studies in the Management Sciences 21: 371-387.Google Scholar
  8. Lockwood, C. and T. Moore (1993). Harvest scheduling with spatial constraints: a simulated annealing approach. Canadian Journal of Forest Research 23: 468-478.CrossRefGoogle Scholar
  9. Murray, A.T. 1999. Spatial restrictions in harvest scheduling. Forest Science 45: 45-52.Google Scholar
  10. Murray, A.T. and R.L. Church (1995). Heuristic solution approaches to operational forest planning problems. OR Spektrum 17: 193-203.CrossRefGoogle Scholar
  11. Murray, A.T. and R.L. Church (1996). Analyzing cliques for imposing adjacency restrictions in forest models. Forest Science 42: 166-175.Google Scholar
  12. Murray, A.T., M. Goycoolea and A. Weintraub (2004). Incorporating average and maximum area restrictions in harvest scheduling models. Canadian Journal of Forest Research 34: 456-464.CrossRefGoogle Scholar
  13. Murray, A.T. and A. Weintraub (2002). Scale and unit specification influences in harvest scheduling with maximum area restrictions. Forest Science 48: 779-789.Google Scholar
  14. Richards, E.W. and E.A. Gunn (2000). A model and tabu search method to optimize stand harvest and road construction schedules. Forest Science 46: 188-203.Google Scholar
  15. Thompson, E.F., B.G. Halterman, T.S. Lyon and R.L. Miller (1973). Integrating timber and wildlife management planning. Forestry Chronicle 47: 247-250.Google Scholar
  16. Vielma, J.P., A.T. Murray, D.M. Ryan and A. Weintraub (2007). Improving computational capabilities for addressing volume constraints in forest harvest scheduling problems. European Journal of Operational Research, 176: 1246-1264.CrossRefGoogle Scholar
  17. Ware, G.O. and J.L. Clutter (1971). A mathematical programming system for the management of industrial forests. Forest Science 17: 428-445.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Alan T. Murray
    • 1
  1. 1.Department of GeographyThe Ohio State UniversityColumbusUSA

Personalised recommendations