Modélisation mécanique de la stabilité des arbres et des peuplements au vent : une approche population
Autor: | Ancelin, Philippe, Courbaud, Benoît, Fourcaud, Thierry |
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Přispěvatelé: | Irstea Publications, Migration, Ecosystèmes et paysages montagnards (UR EPGR), Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) |
Jazyk: | angličtina |
Rok vydání: | 2003 |
Předmět: |
[SDE] Environmental Sciences
U10 - Informatique mathématiques et statistiques Dégât du au vent Arbre Stabilité Résistance au vent Propriété mécanique Forêt [SDE]Environmental Sciences H50 - Troubles divers des plantes K70 - Dégâts causés aux forêts et leur protection Modèle mathématique Population végétale |
Zdroj: | International conference wind effects on trees, University of Karlsruhe, DEU, 16-18 September 2003 International conference wind effects on trees, University of Karlsruhe, DEU, 16-18 September 2003, 2003, Germany. pp.239-246 Proceedings of the International Conference Wind Effect on Trees, Karlsruhe, September 16-18, 2003 |
Popis: | Wind damage is a major disturbance interacting with forest development processes as well in natural forests as in managed forest. Models have been proposed to assess the risk of wind damage either with probabilistic approaches taking into account landscape, stand and tree attributes or with more mechanistic approaches at the scale of the tree. Allowing a precise description of the relations between tree characteristics and breakage or uprooting, mechanistic models are potentially interesting tools for testing the influence of various sylviculture strategies on damage. This work introduces a population model of wind damage based on the mechanical behaviour of all the individual trees in a stand. Using the Transfer Matrix Method of beams, this model allows wind and gravity loads, as well as mechanical state of stems to be well described. Applying the model on populations of Norway spruce trees, we try then to explore how damage is related to wind speed, and how damage at the population level can be predicted from the distribution of individual characteristics. |
Databáze: | OpenAIRE |
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