Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds
In Boreal North America, management approaches inspired by the variability in natural disturbances are expected to produce more resilient forests. Wind storms are recurrent within Boreal Ontario. The objective of this study was to simulate wind damage for common Boreal forest types for regular as we...
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Multidisciplinary Digital Publishing Institute
2017
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Online Access: | http://hdl.handle.net/2429/70755 https://doi.org/10.3390/f8070233 |
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ftunivbritcolcir:oai:circle.library.ubc.ca:2429/70755 2023-05-15T16:16:42+02:00 Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds Anyomi, Kenneth A. Mitchell, Stephen J. Perera, Ajith H. Ruel, Jean-Claude 2017-06-30 http://hdl.handle.net/2429/70755 https://doi.org/10.3390/f8070233 eng eng Multidisciplinary Digital Publishing Institute CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ CC-BY ForestGALES_BC Boreal Windthrow simulation Wind damage Forest disturbance Text Article 2017 ftunivbritcolcir https://doi.org/10.3390/f8070233 2019-10-15T18:28:38Z In Boreal North America, management approaches inspired by the variability in natural disturbances are expected to produce more resilient forests. Wind storms are recurrent within Boreal Ontario. The objective of this study was to simulate wind damage for common Boreal forest types for regular as well as extreme wind speeds. The ForestGALES_BC windthrow prediction model was used for these simulations. Input tree-level data were derived from permanent sample plot (PSP) data provided by the Ontario Ministry of Natural Resources. PSPs were assigned to one of nine stand types: Balsam fir-, Jack pine-, Black spruce-, and hardwood-dominated stands, and, Jack pine-, spruce-, conifer-, hardwood-, and Red and White pine-mixed species stands. Morphological and biomechanical parameters for the major tree species were obtained from the literature. At 5 m/s, predicted windthrow ranged from 0 to 20%, with damage increasing to 2 to 90% for winds of 20 m/s and to 10 to 100% for winds of 40 m/s. Windthrow varied by forest stand type, with lower vulnerability within hardwoods. This is the first study to provide such broad simulations of windthrow vulnerability data for Boreal North America, and we believe this will benefit policy decisions regarding risk management and forest planning. Forestry, Faculty of Non UBC First Nations House of Learning Reviewed Faculty Article in Journal/Newspaper First Nations University of British Columbia: cIRcle - UBC's Information Repository Forests 8 7 233 |
institution |
Open Polar |
collection |
University of British Columbia: cIRcle - UBC's Information Repository |
op_collection_id |
ftunivbritcolcir |
language |
English |
topic |
ForestGALES_BC Boreal Windthrow simulation Wind damage Forest disturbance |
spellingShingle |
ForestGALES_BC Boreal Windthrow simulation Wind damage Forest disturbance Anyomi, Kenneth A. Mitchell, Stephen J. Perera, Ajith H. Ruel, Jean-Claude Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds |
topic_facet |
ForestGALES_BC Boreal Windthrow simulation Wind damage Forest disturbance |
description |
In Boreal North America, management approaches inspired by the variability in natural disturbances are expected to produce more resilient forests. Wind storms are recurrent within Boreal Ontario. The objective of this study was to simulate wind damage for common Boreal forest types for regular as well as extreme wind speeds. The ForestGALES_BC windthrow prediction model was used for these simulations. Input tree-level data were derived from permanent sample plot (PSP) data provided by the Ontario Ministry of Natural Resources. PSPs were assigned to one of nine stand types: Balsam fir-, Jack pine-, Black spruce-, and hardwood-dominated stands, and, Jack pine-, spruce-, conifer-, hardwood-, and Red and White pine-mixed species stands. Morphological and biomechanical parameters for the major tree species were obtained from the literature. At 5 m/s, predicted windthrow ranged from 0 to 20%, with damage increasing to 2 to 90% for winds of 20 m/s and to 10 to 100% for winds of 40 m/s. Windthrow varied by forest stand type, with lower vulnerability within hardwoods. This is the first study to provide such broad simulations of windthrow vulnerability data for Boreal North America, and we believe this will benefit policy decisions regarding risk management and forest planning. Forestry, Faculty of Non UBC First Nations House of Learning Reviewed Faculty |
format |
Article in Journal/Newspaper |
author |
Anyomi, Kenneth A. Mitchell, Stephen J. Perera, Ajith H. Ruel, Jean-Claude |
author_facet |
Anyomi, Kenneth A. Mitchell, Stephen J. Perera, Ajith H. Ruel, Jean-Claude |
author_sort |
Anyomi, Kenneth A. |
title |
Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds |
title_short |
Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds |
title_full |
Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds |
title_fullStr |
Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds |
title_full_unstemmed |
Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds |
title_sort |
windthrow dynamics in boreal ontario: a simulation of the vulnerability of several stand types across a range of wind speeds |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2017 |
url |
http://hdl.handle.net/2429/70755 https://doi.org/10.3390/f8070233 |
genre |
First Nations |
genre_facet |
First Nations |
op_rights |
CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/f8070233 |
container_title |
Forests |
container_volume |
8 |
container_issue |
7 |
container_start_page |
233 |
_version_ |
1766002548197556224 |