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Optimization of Land Use in Afforestation Areas Using Evolutionary Self-Organization

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This article presents a cellular automaton approach to the optimization of land use planning in afforestation areas. The case study deals with 110 ha of recently afforested land in Denmark. A modified two-dimensional automaton containing 2,345 active cells is used for optimizing the land use setup in this area. Four land use alternatives are considered: pasture, beech (Fagus sylvatica L.), Norway spruce (Picea abies [L.] Karst.), and oak (Quercus robur L.). The objective is to maximize a weighted sum of soil expectation value, scale-dependent costs, recreational value, and the value of structural variation. It is demonstrated that for this sort of problem, appropriately modified cellular automata may yield acceptable solutions within a comparatively low number of iterations. Furthermore, for a simplified hypothetical problem, it is shown that the cellular automaton approach was able to identify optimal solutions within reasonable time. FOR. SCI. 48(3):543–555.
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Keywords: Combinatorial analysis; cellular automata; environmental management; forest; forest management; forest management planning; forest resources; forestry; forestry research; forestry science; multiple use; natural resource management; natural resources; policy analysis; spatial economics

Document Type: Miscellaneous

Affiliations: 1: Assistant Professor Department of Economics and Natural Resources, The Royal Veterinary and Agricultural University, Rolighedsvej 23, DK-1958 Frederiksberg C, Copenhagen, Denmark, Phone: +4535282235; Fax: +4535282671 [email protected] 2: Associate Professor Department of Economics and Natural Resources, The Royal Veterinary and Agricultural University, Rolighedsvej 23, DK-1958 Frederiksberg C, Copenhagen, Denmark, Phone: +4535282238 [email protected] 3: Research Chief Department of Forestry, Danish Forest and Landscape Research Institute, Hørsholm, Denmark, Phone: +4545178345 [email protected]

Publication date: 2002-08-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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