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Impacts of daily weather variability on simulations of the Canadian boreal forest

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  • Stratton, Tana
  • Price, David T.
  • Gajewski, Konrad

Abstract

This study examines the importance of climate variability when simulating forest succession using a process-based model of stand development. The FORSKA-2V forest gap model, originally developed for forcing with monthly mean climate data, was modified to accept daily weather data. The model's performance was compared using different temporal resolutions of forcing along a bioclimatic transect crossing the boreal region of central Canada, including the aspen-parkland and forest-tundra ecotones. Forcing the model with daily weather data improved the simulation of key attributes of present-day forest along the transect, particularly at the ecotones, compared to forcing with monthly data or long term averages. The results support the hypothesis that climatic variability at daily time-scales is an important determinant of present-day boreal forest composition and productivity. To simulate boreal forest response to climatic change it will be necessary to create climatic scenarios that include plausible projections of future daily scale variability.

Suggested Citation

  • Stratton, Tana & Price, David T. & Gajewski, Konrad, 2011. "Impacts of daily weather variability on simulations of the Canadian boreal forest," Ecological Modelling, Elsevier, vol. 222(17), pages 3250-3260.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:17:p:3250-3260
    DOI: 10.1016/j.ecolmodel.2011.06.009
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    References listed on IDEAS

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    1. Rammig, A. & Jönsson, A.M. & Hickler, T. & Smith, B. & Bärring, L. & Sykes, M.T., 2010. "Impacts of changing frost regimes on Swedish forests: Incorporating cold hardiness in a regional ecosystem model," Ecological Modelling, Elsevier, vol. 221(2), pages 303-313.
    2. Girardin, Martin P. & Raulier, Frédéric & Bernier, Pierre Y. & Tardif, Jacques C., 2008. "Response of tree growth to a changing climate in boreal central Canada: A comparison of empirical, process-based, and hybrid modelling approaches," Ecological Modelling, Elsevier, vol. 213(2), pages 209-228.
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    Cited by:

    1. Nabel, Julia E.M.S. & Zurbriggen, Natalie & Lischke, Heike, 2013. "Interannual climate variability and population density thresholds can have a substantial impact on simulated tree species’ migration," Ecological Modelling, Elsevier, vol. 257(C), pages 88-100.

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