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Modeling Forest Dynamics with a Combined Matrix/Individual-Based Model

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A combined model, with a matrix component to describe the trees whose diameters are below a threshold, and an individual-based component for the trees above the threshold, is proposed. The combined model is derived from a matrix model and simulates the dynamics of a tropical rainforest in French Guiana, with a management orientation. The methodology to build a combined model starting from a matrix model is specified. The crucial point lies in three continuity conditions at the transition diameter. To establish them, both the matrix and the individual-based components are reformulated into a continuous distribution-based model, which is analytically more tractable. The combined model provides a more detailed description of the tail of the diameter distribution, which can be useful for management purposes. It also permits the separation of the dynamics of small trees, which are numerous and for which matrix coefficients can be quite precisely assessed, from the dynamics of large trees. For. Sci. 48(4):643–652.
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Keywords: French Guiana; Individual-based model; environmental management; forest; forest dynamics modeling; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources

Document Type: Miscellaneous

Affiliations: 1: CIRAD, Bamako, BP, 1813, Mali, Phone: (+223) 24 64 28 nicolas.picard@cirad.fr 2: Université Aix-Marseille 3, Faculté des sciences de Saint Jérôme, IMEP, Case 462, Avenue escadrille Normandie-Yémen 13397 Marseille cedex 20, France, Phone: (+33) 491 288 630; Fax: (+33) 491 288 051 Avner.Bar-Hen@univ.u-3mrs.fr 3: Département mathématiques appliquées et informatique, ENGREF, 19 avenue du Maine, 75732 Paris Cedex 15, France, Phone: (+33) 145 498 905 franc@engref.fr

Publication date: 2002-11-01

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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