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Predictive models for heartwood and bark proportions for larch

Abstract : Predictive models for heartwood and bark proportions have been developed for Japanese larch (Larix kaempferi (Lambert) Carr.) planted in South of Belgium. These models have been tested to evaluate the way of applying them to European larch (Larix decidua Miller) and hybrid larch (Larix eurolepis Hemy) growing in west-European lowlands. For the heartwood proportion, independent variables selected are stand age and dbh. The model set up for Japanese larch has a R-square of 0.859. In average, European larch has lower heartwood proportion. With reference to bark proportion, selected independent variable is dbh. Residual variability is far more important for bark models (R-square of 0.456). European larch has, in average, higher bark proportion whereas hybrid larch has lower. An example of the application of these models in connection with a growth model is presented. It consists in an evaluation of the impact of dynamic silviculture on heartwood and bark proportion.
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https://hal.inrae.fr/hal-02763162
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Submitted on : Thursday, June 4, 2020 - 6:56:19 AM
Last modification on : Monday, November 30, 2020 - 6:54:03 AM

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  • HAL Id : hal-02763162, version 1
  • PRODINRA : 25986

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Philippe Lejeune, Dominique Pauwels, Luc Pâques, Jacques Rondeux. Predictive models for heartwood and bark proportions for larch. Larix 2002 Symposium : Improvement of larch (larix sp.) for better growth, stem form and wood quality, Sep 2002, Gap, France. ⟨hal-02763162⟩

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