Forest planning using co-evolutionary cellular automata

Forest Ecology and Management

Volumn 239, Issue 1-3, 2007, Pages 45-56

  Mathey, Anne Hélène ^a   Krcmar, Emina ^a   Tait, David ^a   Vertinsky, Ilan ^a   Innes, John ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Cellular automata; Decentralized planning; Evolutionary game; Forest planning; Heuristics; Late seral forest; Multiple scales; Self organization; Spatial analysis; Tradeoffs

Indexed keywords

BIODIVERSITY; COMPUTATION THEORY; DECISION MAKING; HARVESTING; STRATEGIC PLANNING;

CELLULAR AUTOMATA; DECENTRALIZED PLANNING; EVOLUTIONARY GAME; LATE-SERAL FOREST; SPATIAL ANALYSIS;

FORESTRY;

ALGORITHM; BIODIVERSITY; CELLULAR AUTOMATON; COEVOLUTION; DECISION MAKING; FOREST MANAGEMENT; FORESTRY PRODUCTION; LANDSCAPE PLANNING; NONTIMBER FOREST PRODUCT; SPATIAL ANALYSIS; SPATIAL DISTRIBUTION;

COMPUTATION; DECISION MAKING; FORESTRY; SUSTAINABLE FOREST MANAGEMENT;

CANADA; NORTH AMERICA; ONTARIO [CANADA];

EID: 33846247807     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2006.11.007     Document Type: Article

References (39)

1. Alba E., and Tomassini M. Parallelism and evolutionary algorithms. IEEE Trans. Evol. Comput. 6 5 (2002) 443-462
2. Bettinger P., Sessions J., and Boston K. Using Tabu search to schedule timber harvests subject to spatial wildlife goals for big game. Ecol. Model. 94 (1997) 111-123
3. Bettinger P., Graetz D., Boston K., Sessions J., and Chung W. Eight heuristic planning techniques applied to three increasingly difficult wildlife planning problems. Silva Fennica 36 (2002) 561-584
4. Boston K., and Bettinger P. An analysis of Monte Carlo integer programming, simulated annealing, and tabu search heuristics for solving spatial harvest scheduling problems. For. Sci. 45 (1999) 292-301
5. Boston K., and Bettinger P. Combining tabu search and genetic algorithms heuristic techniques to solve spatial harvest scheduling problems. For. Sci. 48 (2002) 35-46
6. Chen Q., and Mynett A.E. Effects of cell size and configuration in cellular automata based prey-predator modelling. Simul. Model. Pract. Theor. 11 (2003) 609-625
7. Clements S.E., Dallain P.L., and Jamnick M.S. An operational, spatially constrained harvest scheduling model. Can. J. For. Res. 20 (1990) 1438-1447
8. Colasanti R.L., and Grime J.P. Resource dynamics and vegetation processes-a deterministic model using 2-dimensional cellular automata. Funct. Ecol. 7 (1993) 169-176
9. Dieckmann U., Law R., and Metz J.A.J. The Geometry of Ecological Interactions: Simplifying Spatial Complexity (2000), Cambridge University Press, New York
10. Garriga H.M., and Ratick S.J. Addressing the computational complexity of land use allocation in geographical information systems. Proceedings of the I International Conference on GeoComputation. September 17-19, 1996 (1996), University of Leeds, UK
11. Green D.G. Simulated effects of fire, dispersal and spatial pattern on competition within forest mosaics. Vegetatio 82 (1989) 139-153
12. Harris L.D. The Fragmented Forest: Island Biogeography Theory and the Preservation of Biotic Diversity (1984), University of Chicago Press, Chicago, IL
13. Hoganson H.M., and Borges J.G. Using dynamic programming and overlapping subproblems to address adjacency in large harvest scheduling problems. For. Sci. 44 (1998) 526-538
14. Hoganson, H.M., Borges, J.G., Bradley, D., 1998. Techniques for addressing spatial detail in forest planning. Assessment of biodiversity for improved forest planning. European Forest Institute Proceedings no. 18.
15. Hubbell S.P., and Foster R.B. Biology, chance, and history and the structure of tropical rain forest tree communities. In: Diamond J., and Case T.J. (Eds). Community Ecology (1986), Sinauer, Sunderland, MA 314-329
16. Huberman B.A., and Glance N.S. Evolutionary games and computer simulations. Proc. Natl. Acad. Sci. U.S.A. 90 (1993) 7716-7718
17. Krugman P.R. The Self-organizing Economy (1996), Blackwell Publishers, Cambridge, MA
18. Lewontin R.C. Evolution and the theory of games. J. Theor. Biol. 1 (1961) 382-403
19. Lockwood C., and Moore T. Harvest scheduling with spatial constraints-a simulated annealing approach. Can. J. For. Res. 23 (1993) 468-478
20. Lu F., and Eriksson L.O. Formation of harvest units with genetic algorithms. For. Ecol. Manage. 130 (2000) 57-67
21. Martell D.L., Gunn E.A., and Weintraub A. Forest management challenges for operational researchers. Eur. J. Oper. Res. 104 (1998) 1-17
22. Mathey A.-H., Krcmar E., and Vertinsky I.B. Re-evaluating our approach to forest management planning: a complex journey. For. Chron. 81 (2005) 359-364
23. Ménard A., and Marceau D.J. Exploration of spatial scale sensitivity in geographic cellular automata. Environ. Plann. Plann. Des. 32 (2005) 693-714
24. Murray A.T., and Church R.L. Heuristic solution approaches to operational forest planning problems. OR Spektrum 17 (1995) 193-203
25. Nelson J.D. Forest-level models and challenges for their successful application. Can. J. For. Res. 33 (2003) 422-429
26. Ohman K. Creating continuous areas of old forest in long-term forest planning. Can. J. For. Res. 30 (2000) 1817-1823
27. Pukkala T., and Kurttila M. Examining the performance of six heuristic optimisation techniques in different forest planning problems. Silva Fennica 39 (2005) 67-80
28. Richards E.W., and Gunn E.A. Tabu search design for difficult forest management optimization problems. Can. J. For. Res. 33 (2003) 1126-1133
29. Schwartz M.W. Choosing an appropriate scale for conservation efforts. Annu. Rev. Ecol. Systemat. 30 (1999) 83-108
30. Seymour R.S., and Hunter Jr. M.L. Principles of ecological forestry. In: Hunter Jr. M.L. (Ed). Maintaining Biodiversity in Forest Ecosystems (1999), Cambridge University Press, Cambridge, UK 22-61
31. Shafer C.L. Inter-reserve distance. Biol. Conserv. 100 (2001) 215-227
32. Shands W.E., Sample V.A., and LeMaster D.C. National Forest planning: searching for a common vision. Critique of Land Management Planning vol. 2 (1990), U.S. Department of Agriculture, Forest Service, Washington, DC
33. Spies T.A., and Franklin J.F. The diversity and maintenance of old-growth forests. In: Szaro R.C., and Johnston D.W. (Eds). Biodiversity in Managed Landscapes: Theory and Practice (1996), Oxford University Press, New York, NY 296-314
34. Strange N., Meilby H., and Bogetoft P. Land use optimization using self-organising algorithms. Nat. Resour. Model. 14 (2001) 541-574
35. Strange N., Meilby H., and Thorsen B.J. Optimization of land use in afforestation areas using evolutionary self-organization. For. Sci. 48 (2002) 543-555
36. Toffoli T., and Margolus N. Cellular Automata Machines: A New Environment for Modeling (1987), MIT Press, Cambridge, MA
37. UNCED (United Nations Conference on Environment and Development), 1992. Agenda 21: the Rio Declaration on Environment and Development, the Statement of Forest Principles, the United Nations Framework Convention on Climate Change and the United Nations Convention on Biological Diversity. UNCED, Rio de Janeiro, June 3-14, 1992. United Nations Commission on Environment and Development Secretariat, Geneva.
38. Ward D.P., Murray A.T., and Phinn S.R. An optimized cellular automata approach for sustainable urban development in rapidly urbanizing regions. Proceedings of the IV International Conference on GeoComputation. Fredericksburg VA, USA, July 25-28 (1999)
39. Wolfram S. Cellular Automata and Complexity: Collected Papers (1994), Addison-Wesley, New York