Research article - Peer-reviewed, 2012
Implementing storm damage in a dynamic vegetation model for regional applications in Sweden
Lagergren, Fredrik; Jonsson, Anna Maria; Blennow, Kristina; Smith, BenjaminAbstract
Wind is the dominant agent of damage in forests in Western Europe. Traditional wind-damage models calculate a probability for damage or a critical wind speed at which damage occurs. However, in a dynamic vegetation model actual damage to stands and individual trees is needed to get a dynamical progression of the vegetation. We present a prototype for a new approach to modelling forest wind damage at the regional scale, which we incorporate within a dynamic vegetation model. The approach is based on knowledge from both empirical and mechanical models and calculates the damaged fraction of a cohort based on wind load and a sensitivity that depends on the current physical state and history of the cohort in relation to the ecosystem. The modelling concept has been developed, calibrated and evaluated for Swedish conditions but can be applicable to other similar areas with minor modification. Because of the stochastic nature of local wind load and the difficulty of describing the stand-level exposure, the ability to explain observed damage at stand level was low. Regional level variation in damage, which more depends on the wind load, was however explained reasonably well (R-2 = 0.43). We suggest that this is a useful concept for evaluating alternatives of forest management under different climate scenarios in the process of adaptation to future storm-damage risks. (C) 2012 Elsevier B.V. All rights reserved.Keywords
Dynamic vegetation model LPJ-GUESS; Storm damage; Wind throw; Boreal forest; ForestryPublished in
Ecological Modelling2012, volume: 247, pages: 71-82
Publisher: ELSEVIER SCIENCE BV
Authors' information
Lagergren, Fredrik
Lund University
Jonsson, Anna Maria
Lund University
Swedish University of Agricultural Sciences, Landskapsarkitektur
Smith, Benjamin
Lund University
Sustainable Development Goals
SDG13 Climate action
UKÄ Subject classification
Environmental Sciences
Geosciences, Multidisciplinary
Climate Research
Publication Identifiers
DOI: https://doi.org/10.1016/j.ecolmodel.2012.08.011
URI (permanent link to this page)
https://res.slu.se/id/publ/39971