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A selection harvesting algorithm for use in spatially explicit individual-based forest simulation models

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  • Arii, Ken
  • Caspersen, John P.
  • Jones, Trevor A.
  • Thomas, Sean C.

Abstract

There is growing interest in using spatially explicit, individual-based forest simulation models to explore the ecological and silvicultural consequences of various harvesting regimes. However, simulating the dynamics of managed forests requires harvesting algorithms capable of accurately mimicking the harvest regimes of interest. Under selection silviculture, trees are harvested individually or in small groups, with the aim of retaining trees across a full range of size classes. An algorithm that reproduces selection harvesting must therefore be able to recreate both the spatial and the structural patterns of harvest. Here we introduce a selection harvest algorithm that simulates harvests as a contagious spatial process in which the cutting of one tree affects the probability that neighboring trees are also cut. Three simple and intuitive parameters are required to implement this process: (1) the probability of cutting a “target” tree (Pt) (often a function of tree size), (2) the probability of cutting its nearest neighbor (Pn), and (3) the total number of target trees to cut (Nt). Specification of these parameters allows representation of both the spatial and the structural patterns of harvest expected under selection silviculture.

Suggested Citation

  • Arii, Ken & Caspersen, John P. & Jones, Trevor A. & Thomas, Sean C., 2008. "A selection harvesting algorithm for use in spatially explicit individual-based forest simulation models," Ecological Modelling, Elsevier, vol. 211(3), pages 251-266.
  • Handle: RePEc:eee:ecomod:v:211:y:2008:i:3:p:251-266
    DOI: 10.1016/j.ecolmodel.2007.09.007
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    References listed on IDEAS

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    1. Nuttle, Tim & Haefner, James W., 2007. "Design and validation of a spatially explicit simulation model for bottomland hardwood forests," Ecological Modelling, Elsevier, vol. 200(1), pages 20-32.
    2. Baddeley, Adrian & Turner, Rolf, 2005. "spatstat: An R Package for Analyzing Spatial Point Patterns," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i06).
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    Cited by:

    1. Bose, Arun K. & Harvey, Brian D. & Coates, K. David & Brais, Suzanne & Bergeron, Yves, 2015. "Modelling stand development after partial harvesting in boreal mixedwoods of eastern Canada," Ecological Modelling, Elsevier, vol. 300(C), pages 123-136.
    2. Thorpe, H.C. & Vanderwel, M.C. & Fuller, M.M. & Thomas, S.C. & Caspersen, J.P., 2010. "Modelling stand development after partial harvests: An empirically based, spatially explicit analysis for lowland black spruce," Ecological Modelling, Elsevier, vol. 221(2), pages 256-267.
    3. Kramer, K. & Buiteveld, J. & Forstreuter, M. & Geburek, T. & Leonardi, S. & Menozzi, P. & Povillon, F. & Schelhaas, M.J. & Teissier du Cros, E. & Vendramin, G.G. & van der Werf, D.C., 2008. "Bridging the gap between ecophysiological and genetic knowledge to assess the adaptive potential of European beech," Ecological Modelling, Elsevier, vol. 216(3), pages 333-353.

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