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Master thesis

Modelling the effect of tree species mixing on Quercus petraea regeneration with the French National Forest Inventory

Abstract : The ongoing interest for mixed stands in forestry is supported by positive productivity -diversity relationships, pest effects mitigation and an increased resilience and stability,however how species mixing affect forest regeneration is yet to explore.We used the years 2006 to 2016 of the French National Forest Inventory to model Quercuspetraea regeneration cover in pure and mixed Quercus petraea stands. This model allowedto indentify environmental variables at play in Quercus petraea regeneration and uses themto indentify the effect of the companion species in bispecific mixed stands regardless of theenvironmental variations. We the modeled this mixture effect as a function of the shadetolerance of the companion species.Quercus petraea regeneration responds negatively to total canopy cover and herbivorypressure, and the retained biogeoclimatic variables are mean potential evapotranspiration ofJuly, mean maximal temperature of December and soil pH. Quercus petraea regeneration isproportionally related to the relative cover of Quercus petraea in the canopy layer in mixedstands, but mixed stands with shade intolerant conifers display an enhanced Quercuspetraea regeneration compared to the other mixed stands, our shade tolerance model didnot identify this effect for broadleaved companion species. This suggests a facilitation ofregeneration via a better light transmittance through the crown of the companion species ora competitive advantage of Quercus petraea saplings against shade intolerant saplings andreinforces the idea that mixing species can contribute to the resilience and stability of thestand.
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https://hal.inrae.fr/hal-03166803
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Submitted on : Thursday, March 11, 2021 - 3:14:03 PM
Last modification on : Friday, May 21, 2021 - 3:41:52 AM

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  • HAL Id : hal-03166803, version 1

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Jeremy Borderieux. Modelling the effect of tree species mixing on Quercus petraea regeneration with the French National Forest Inventory. Silviculture, forestry. 2020. ⟨hal-03166803⟩

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