Gap partitioning among temperate tree species across a regional soil gradient in windstorm-disturbed forests |
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Authors: | Rosalinde Van Couwenberghe,Catherine Collet,Eric Lacombe,Jean-Claude Pierrat,Jean-Claude Gé gout |
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Affiliation: | 1. AgroParisTech, UMR1092, Laboratoire d’Etude des Ressources, Forêt Bois (LERFoB), ENGREF, 14 rue Girardet, F-54000 Nancy, France;2. INRA, UMR1092, Laboratoire d’Etude des Ressources, Forêt Bois (LERFoB), Centre INRA de Nancy, F-54280 Champenoux, France |
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Abstract: | Canopy closure and soil characteristics are commonly used to explain regeneration distribution at local and regional scales, although very few studies take both factors into account. The combination of environmental variables defined at broad and local scales is necessary to provide regeneration distribution models with a small resolution (tree scale) that are valid on a large spatial scale (regional scale). Our aim was to quantify how gap partitioning among tree species at the seedling stage varies across large soil and stand type gradients. Regeneration inventories performed 5 years after gap creation were used to analyse the combined effects of soil type, stand type, and position within canopy gaps on the regeneration development of eight western European broadleaved species: Acer campestre, Acer pseudoplatanus, Betulapendula, Carpinusbetulus, Fagussylvatica, Fraxinusexcelsior, Quercus sp., and Salixcaprea. A clear pattern of gap partitioning among the eight species was observed. All species had higher density at the gap edge except birch and willow showing the highest presence in gap centres. For all species, the probability of presence of tall seedlings (height > 0.5 m) increased from gap edge to gap centre. Small seedlings presented the opposite trend except birch and willow. Soil pH influenced probability of presence for each species, but did not affect the pattern of gap partitioning among species. Both local (location within the gap) and regional (soil pH and stand type) scale factors affect recruitment distribution and are thus necessary to predict seedling distribution. The models developed may be used to determine the optimal gap size in order to obtain a given species composition according to soil and stand type conditions. |
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Keywords: | Disturbance ecology Forest management Niche differentiation Distribution models Canopy gap Natural regeneration |
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