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Development of TRIPLEX-Management model for simulating the response of forest growth to pre-commercial thinning

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  • Wang, Weifeng
  • Peng, Changhui
  • Zhang, S.Y.
  • Zhou, Xiaolu
  • Larocque, Guy R.
  • Kneeshaw, Daniel D.
  • Lei, Xiangdong

Abstract

In order to simulate forest growth response to pre-commercial thinning (PCT), TRIPLEX1.0 – a process-based model designed to predict forest growth as well as carbon (C) and nitrogen (N) dynamics – was modified and improved to also simulate managed forest ecosystem thinning practices. A three-parameter Weibull distribution model was integrated to simulate thinning treatments within the newly developed TRIPLEX-Management model. The thinning intensity component within the model allows users to simulate thinning treatments by applying basal area, stand density and volume to quantify thinning intensity. Natural mortality decreased following thinning due to an increase in growing space for residual stems. Predicted litterfall pools also increased after thinning events took place. The TRIPLEX-Management model was tested against published observational data for Jack Pine (Pinus banksiana Lamb.) stands subjected to PCT in Northwestern Ontario, Canada. The coefficients of determination (R2) between the predicted and observed variables including stand density, mean DBH (diameter at breast height), the quadratic mean DBH, total volume and merchantable volume as well as belowground, aboveground, and total biomass ranged from 0.50 to 0.88 (n=20, P<0.001) with the exception of mean tree height (R2=0.25, n=20, P<0.05). Overall, the Willmott index of agreement between predicted and observed variables ranged from 0.97 to 1.00. Results show that the TRIPLEX-Management model is generally capable of simulating growth response to PCT for Jack Pine stands.

Suggested Citation

  • Wang, Weifeng & Peng, Changhui & Zhang, S.Y. & Zhou, Xiaolu & Larocque, Guy R. & Kneeshaw, Daniel D. & Lei, Xiangdong, 2011. "Development of TRIPLEX-Management model for simulating the response of forest growth to pre-commercial thinning," Ecological Modelling, Elsevier, vol. 222(14), pages 2249-2261.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:14:p:2249-2261
    DOI: 10.1016/j.ecolmodel.2010.09.019
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    References listed on IDEAS

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    1. Miehle, Peter & Battaglia, Michael & Sands, Peter J. & Forrester, David I. & Feikema, Paul M. & Livesley, Stephen J. & Morris, Jim D. & Arndt, Stefan K., 2009. "A comparison of four process-based models and a statistical regression model to predict growth of Eucalyptus globulus plantations," Ecological Modelling, Elsevier, vol. 220(5), pages 734-746.
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    Cited by:

    1. Pretzsch, Hans & Forrester, David I. & Rötzer, Thomas, 2015. "Representation of species mixing in forest growth models. A review and perspective," Ecological Modelling, Elsevier, vol. 313(C), pages 276-292.
    2. Forrester, David I. & Tang, Xiaolu, 2016. "Analysing the spatial and temporal dynamics of species interactions in mixed-species forests and the effects of stand density using the 3-PG model," Ecological Modelling, Elsevier, vol. 319(C), pages 233-254.
    3. Liu, Qiuyu & Peng, Changhui & Schneider, Robert & Cyr, Dominic & Liu, Zelin & Zhou, Xiaolu & Kneeshaw, Daniel, 2021. "TRIPLEX-Mortality model for simulating drought-induced tree mortality in boreal forests: Model development and evaluation," Ecological Modelling, Elsevier, vol. 455(C).

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