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Development of the gap model ZELIG-CFS to predict the dynamics of North American mixed forest types with complex structures

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  • Larocque, Guy R.
  • Archambault, Louis
  • Delisle, Claude

Abstract

When the development of gap models began about three decades ago, they became a new category of forest productivity models. Compared with traditional growth and yield models, which aim at deriving empirical relationships that best fit data, gap models use semi-theoretical relationships to simulate biotic and abiotic processes in forest stands, including the effects of photosynthetic active radiation interception, site fertility, temperature and soil moisture on tree growth and seedling establishment. While growth and yield models are appropriate to predict short-term stemwood production, gap models may be used to predict the natural course of species replacement for several generations. Because of the poor availability of historical data and knowledge on species-specific allometric relationships, species replacement and death rate, it has seldom been possible to develop and evaluate the most representative algorithms to predict growth and mortality with a high degree of accuracy. For this reason, the developers of gap models focused more on developing simulation tools to improve the understanding of forest succession than predicting growth and yield accurately.

Suggested Citation

  • Larocque, Guy R. & Archambault, Louis & Delisle, Claude, 2011. "Development of the gap model ZELIG-CFS to predict the dynamics of North American mixed forest types with complex structures," Ecological Modelling, Elsevier, vol. 222(14), pages 2570-2583.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:14:p:2570-2583
    DOI: 10.1016/j.ecolmodel.2010.08.035
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    References listed on IDEAS

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    1. Didion, M. & Kupferschmid, A.D. & Lexer, M.J. & Rammer, W. & Seidl, R. & Bugmann, H., 2009. "Potentials and limitations of using large-scale forest inventory data for evaluating forest succession models," Ecological Modelling, Elsevier, vol. 220(2), pages 133-147.
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    Cited by:

    1. Holm, Jennifer A. & Shugart, H.H. & Van Bloem, S.J. & Larocque, G.R., 2012. "Gap model development, validation, and application to succession of secondary subtropical dry forests of Puerto Rico," Ecological Modelling, Elsevier, vol. 233(C), pages 70-82.
    2. Brazhnik, Ksenia & Shugart, H.H., 2016. "SIBBORK: A new spatially-explicit gap model for boreal forest," Ecological Modelling, Elsevier, vol. 320(C), pages 182-196.
    3. Larocque, Guy R. & Bhatti, Jagtar & Arsenault, André, 2015. "Integrated modelling software platform development for effective use of ecosystem models," Ecological Modelling, Elsevier, vol. 306(C), pages 318-325.
    4. Millington, James D.A. & Walters, Michael B. & Matonis, Megan S. & Liu, Jianguo, 2013. "Filling the gap: A compositional gap regeneration model for managed northern hardwood forests," Ecological Modelling, Elsevier, vol. 253(C), pages 17-27.
    5. Millington, James D.A. & Walters, Michael B. & Matonis, Megan S. & Liu, Jianguo, 2013. "Modelling for forest management synergies and trade-offs: Northern hardwood tree regeneration, timber and deer," Ecological Modelling, Elsevier, vol. 248(C), pages 103-112.
    6. Larocque, Guy R. & Bhatti, Jagtar & Arsenault, André, 2014. "Integrated modelling software platform development for effective use of ecosystem models," Ecological Modelling, Elsevier, vol. 288(C), pages 195-202.
    7. Brazhnik, Ksenia & Shugart, H.H., 2017. "Model sensitivity to spatial resolution and explicit light representation for simulation of boreal forests in complex terrain," Ecological Modelling, Elsevier, vol. 352(C), pages 90-107.
    8. Zhang, Tao & Lichstein, Jeremy W. & Birdsey, Richard A., 2014. "Spatial and temporal heterogeneity in the dynamics of eastern U.S. forests: Implications for developing broad-scale forest dynamics models," Ecological Modelling, Elsevier, vol. 279(C), pages 89-99.

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