Empirical modelling of windthrow risk and hazard mapping using Geographic Information Systems

There has been a history of wind damage (windthrow) in Weyerhaeuser's North Island Timberlands (NIT) north of Campbell River on Vancouver Island, British Columbia. Identification of the location and type of stands most at risk is needed to target mitigative measures. This study investigated the...

Full description

Bibliographic Details
Main Author: Lanquaye, Clayfield Odarkor
Language:English
Published: 2009
Online Access:http://hdl.handle.net/2429/13989
id ndltd-LACETR-oai-collectionscanada.gc.ca-BVAU.2429-13989
record_format oai_dc
spelling ndltd-LACETR-oai-collectionscanada.gc.ca-BVAU.2429-139892014-03-14T15:47:16Z Empirical modelling of windthrow risk and hazard mapping using Geographic Information Systems Lanquaye, Clayfield Odarkor There has been a history of wind damage (windthrow) in Weyerhaeuser's North Island Timberlands (NIT) north of Campbell River on Vancouver Island, British Columbia. Identification of the location and type of stands most at risk is needed to target mitigative measures. This study investigated the relationship between windthrow damage along cutblock edges and stand, ecosystem, management, wind and topographic variables. Windthrow occurrence along cutblock boundaries was mapped using aerial photographs. Using ArcView Geographic Information System (GIS), a total of 22,304 forested segments were obtained and used to study the relationship between cutblock edge windthrow and other stand level variables within NIT. Damage declined from 13% of segments within the first 25m of cutblock boundaries to 1 % of segments in the band between 50 and 75m from the cutblock boundary. Western redcedar (Thuja plicata Donn) dominated stands suffered the least loss from windthrow compared to those dominated by other species. The proportion of segments damaged increased with topographic exposure, mean annual windspeeds, boundary exposure to the south, soil fertility, block size and stocking. Logistic regression models were fit using stand, site, ecosystem, wind and management variables to predict probability of damage. The best-fit models had a predictive accuracy of 68-72%. One of these models was selected to produce a windthrow hazard map for the NIT. A comparison between the resultant model and one developed in an earlier study 75 km to the north revealed that empirical models are reasonably portable within this area of Vancouver Island. 2009-10-17T21:58:05Z 2009-10-17T21:58:05Z 2003 2009-10-17T21:58:05Z 2003-05 Electronic Thesis or Dissertation http://hdl.handle.net/2429/13989 eng UBC Retrospective Theses Digitization Project [http://www.library.ubc.ca/archives/retro_theses/]
collection NDLTD
language English
sources NDLTD
description There has been a history of wind damage (windthrow) in Weyerhaeuser's North Island Timberlands (NIT) north of Campbell River on Vancouver Island, British Columbia. Identification of the location and type of stands most at risk is needed to target mitigative measures. This study investigated the relationship between windthrow damage along cutblock edges and stand, ecosystem, management, wind and topographic variables. Windthrow occurrence along cutblock boundaries was mapped using aerial photographs. Using ArcView Geographic Information System (GIS), a total of 22,304 forested segments were obtained and used to study the relationship between cutblock edge windthrow and other stand level variables within NIT. Damage declined from 13% of segments within the first 25m of cutblock boundaries to 1 % of segments in the band between 50 and 75m from the cutblock boundary. Western redcedar (Thuja plicata Donn) dominated stands suffered the least loss from windthrow compared to those dominated by other species. The proportion of segments damaged increased with topographic exposure, mean annual windspeeds, boundary exposure to the south, soil fertility, block size and stocking. Logistic regression models were fit using stand, site, ecosystem, wind and management variables to predict probability of damage. The best-fit models had a predictive accuracy of 68-72%. One of these models was selected to produce a windthrow hazard map for the NIT. A comparison between the resultant model and one developed in an earlier study 75 km to the north revealed that empirical models are reasonably portable within this area of Vancouver Island.
author Lanquaye, Clayfield Odarkor
spellingShingle Lanquaye, Clayfield Odarkor
Empirical modelling of windthrow risk and hazard mapping using Geographic Information Systems
author_facet Lanquaye, Clayfield Odarkor
author_sort Lanquaye, Clayfield Odarkor
title Empirical modelling of windthrow risk and hazard mapping using Geographic Information Systems
title_short Empirical modelling of windthrow risk and hazard mapping using Geographic Information Systems
title_full Empirical modelling of windthrow risk and hazard mapping using Geographic Information Systems
title_fullStr Empirical modelling of windthrow risk and hazard mapping using Geographic Information Systems
title_full_unstemmed Empirical modelling of windthrow risk and hazard mapping using Geographic Information Systems
title_sort empirical modelling of windthrow risk and hazard mapping using geographic information systems
publishDate 2009
url http://hdl.handle.net/2429/13989
work_keys_str_mv AT lanquayeclayfieldodarkor empiricalmodellingofwindthrowriskandhazardmappingusinggeographicinformationsystems
_version_ 1716652879819833344