Simulation and decision-making tools for forest storm risk: advances across disciplines

This paper reviews scientific advances in modeling and assessing forest storm risks, focusing on large-scale airflow simulation, mechanistic root anchorage modeling, and hybrid statistical-mechanistic damage risk models.

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Detail description

Severe storms Martin (1999) and Klaus (2009) in southwestern France highlighted the need to improve forest resilience to wind damage. This article synthesizes progress since 2009 across three disciplines: large-scale atmospheric turbulence modeling to capture realistic wind–canopy interactions; mechanistic modeling of tree root anchorage to simulate sequential root failure during windthrow, informed by field-based root architecture data; and hybrid statistical/mechanistic models that integrate canopy, soil, and wind interaction knowledge for stand- and landscape-level risk evaluation. These integrated tools support forest management and planning to mitigate storm impacts.

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Contribution detail info

Project

Innovations agronomiques

Innovations agronomiques

Location
France
Authors
Céline MEREDIEU, Yves BRUNET, Frédéric DANJON, Pauline DEPOSSEZ, Sylvain DUPONT, Kana KAMIMURA et Barry GARDINER
Purpose
Adopt innovative practices

File type
document
Created on
Dec 01, 2014
Origin language
French
Official project website
Innovations agronomiques
License
CC BY