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Modelling the growth of Norway spruce (Picea abies) in mountain heterogeneous forests

Abstract : This paper presents a tree distance dependent growth model for uneven-aged Norway spruce stands in the northern French Alps. The competition between the trees is modelled by computer calculating the available light at 90% and 60% of the height of the trees. For each subject tree, the incident radiation is first spatially discretised in elementary beams. The interception of each beam is calculated using a geometrical description of the crown of the surrounding trees and the available (non intercepted) light is summed up over all beams. This light submodel is validated by comparing predicted light with observations made on hemispherical photographs. Height and diameter increments are predicted from tree age and light availability by empirical functions calibrated on two experimental plots : root mean squared error of individual increments is about 50% of their initial standard deviation. A cross-validation between our two experimental plots shows that this model can be better extrapolated better than simpler empirical models which do not explicitly represent competition. Our model forecasts the variability in individual tree growth in uneven-aged spruce stands. Linking it to wood quality models would be of prime interest to help the manager in evaluating the influence of silviculture on forest products in heterogeneous forests.
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Contributor : Migration Irstea Publications <>
Submitted on : Thursday, May 14, 2020 - 5:20:41 PM
Last modification on : Wednesday, May 19, 2021 - 3:37:53 AM


  • HAL Id : hal-02575776, version 1
  • IRSTEA : PUB00002435



Benoît Courbaud, François Houllier, Hervé Sinoquet. Modelling the growth of Norway spruce (Picea abies) in mountain heterogeneous forests. IUFRO WP S5.01- 04 Second workshop : connection between silviculture and wood quality through modelling approaches and simulation sofware, Berg-en-Dal, ZAF, 26-31 août 1996, 1996, Berg-en-Dal, South Africa. pp.12. ⟨hal-02575776⟩



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