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Modelling natural disturbances in forest ecosystems: a review

Seidl, Rupert; Fernandes, Paulo M.; Fonseca, Teresa F.; Gillet, Francois; Jönsson, Anna Maria LU ; Merganicova, Katarina; Netherer, Sigrid; Arpaci, Alexander; Bontemps, Jean-Daniel and Bugmann, Harald, et al. (2011) In Ecological Modelling 222(4). p.903-924
Abstract
Natural disturbances play a key role in ecosystem dynamics and are important factors for sustainable forest ecosystem management. Quantitative models are frequently employed to tackle the complexities associated with disturbance processes. Here we review the wide variety of approaches to modelling natural disturbances in forest ecosystems, addressing the full spectrum of disturbance modelling from single events to integrated disturbance regimes. We applied a general, process-based framework founded in disturbance ecology to analyze modelling approaches for drought, wind, forest fires, insect pests and ungulate browsing. Modelling approaches were reviewed by disturbance agent and mechanism, and a set of general disturbance modelling... (More)
Natural disturbances play a key role in ecosystem dynamics and are important factors for sustainable forest ecosystem management. Quantitative models are frequently employed to tackle the complexities associated with disturbance processes. Here we review the wide variety of approaches to modelling natural disturbances in forest ecosystems, addressing the full spectrum of disturbance modelling from single events to integrated disturbance regimes. We applied a general, process-based framework founded in disturbance ecology to analyze modelling approaches for drought, wind, forest fires, insect pests and ungulate browsing. Modelling approaches were reviewed by disturbance agent and mechanism, and a set of general disturbance modelling concepts was deduced. We found that although the number of disturbance modelling approaches emerging over the last 15 years has increased strongly, statistical concepts for descriptive modelling are still largely prevalent over mechanistic concepts for explanatory and predictive applications. Yet, considering the increasing importance of disturbances for forest dynamics and ecosystem stewardship under anthropogenic climate change, the latter concepts are crucial tool for understanding and coping with change in forest ecosystems. Current challenges for disturbance modelling in forest ecosystems are thus (i) to overcome remaining limits in process understanding, (ii) to further a mechanistic foundation in disturbance modelling, (iii) to integrate multiple disturbance processes in dynamic ecosystem models for decision support in forest management, and (iv) to bring together scaling capabilities across several levels of organization with a representation of system complexity that captures the emergent behaviour of disturbance regimes. (C) 2010 Elsevier B.V. All rights reserved. (Less)
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subject
keywords
Disturbance modelling, Wildfire, Wind storm, Drought, Insect herbivory, Browsing
in
Ecological Modelling
volume
222
issue
4
pages
903 - 924
publisher
Elsevier
external identifiers
  • wos:000287291000001
  • scopus:78651453224
ISSN
0304-3800
DOI
10.1016/j.ecolmodel.2010.09.040
project
BECC
language
English
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yes
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5a13a261-7cc0-45db-873e-3ad9319f51f3 (old id 1878088)
date added to LUP
2011-04-04 13:47:55
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2017-10-22 04:18:57
@article{5a13a261-7cc0-45db-873e-3ad9319f51f3,
  abstract     = {Natural disturbances play a key role in ecosystem dynamics and are important factors for sustainable forest ecosystem management. Quantitative models are frequently employed to tackle the complexities associated with disturbance processes. Here we review the wide variety of approaches to modelling natural disturbances in forest ecosystems, addressing the full spectrum of disturbance modelling from single events to integrated disturbance regimes. We applied a general, process-based framework founded in disturbance ecology to analyze modelling approaches for drought, wind, forest fires, insect pests and ungulate browsing. Modelling approaches were reviewed by disturbance agent and mechanism, and a set of general disturbance modelling concepts was deduced. We found that although the number of disturbance modelling approaches emerging over the last 15 years has increased strongly, statistical concepts for descriptive modelling are still largely prevalent over mechanistic concepts for explanatory and predictive applications. Yet, considering the increasing importance of disturbances for forest dynamics and ecosystem stewardship under anthropogenic climate change, the latter concepts are crucial tool for understanding and coping with change in forest ecosystems. Current challenges for disturbance modelling in forest ecosystems are thus (i) to overcome remaining limits in process understanding, (ii) to further a mechanistic foundation in disturbance modelling, (iii) to integrate multiple disturbance processes in dynamic ecosystem models for decision support in forest management, and (iv) to bring together scaling capabilities across several levels of organization with a representation of system complexity that captures the emergent behaviour of disturbance regimes. (C) 2010 Elsevier B.V. All rights reserved.},
  author       = {Seidl, Rupert and Fernandes, Paulo M. and Fonseca, Teresa F. and Gillet, Francois and Jönsson, Anna Maria and Merganicova, Katarina and Netherer, Sigrid and Arpaci, Alexander and Bontemps, Jean-Daniel and Bugmann, Harald and Ramon Gonzalez-Olabarria, Jose and Lasch, Petra and Meredieu, Celine and Moreira, Francisco and Schelhaas, Mart-Jan and Mohren, Frits},
  issn         = {0304-3800},
  keyword      = {Disturbance modelling,Wildfire,Wind storm,Drought,Insect herbivory,Browsing},
  language     = {eng},
  number       = {4},
  pages        = {903--924},
  publisher    = {Elsevier},
  series       = {Ecological Modelling},
  title        = {Modelling natural disturbances in forest ecosystems: a review},
  url          = {http://dx.doi.org/10.1016/j.ecolmodel.2010.09.040},
  volume       = {222},
  year         = {2011},
}