A SPATIAL ANALYSIS OF MOOSE-VEHICLE COLLISIONS IN MOUNT REVELSTOKE AND GLACIER NATIONAL PARKS, CANADA

Moose (Alces alces)-vehicle collisions (MVC) can be costly by ecologically affecting population numbers, economically by vehicle damage, and socially through human injury or mortality. The purpose of this paper is to identify factors related to moose ecology, driver behaviour, and road design that a...

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Main Authors: Hurley, Michael V., Rapaport, Eric K., Johnson, Chris J.
Format: Article in Journal/Newspaper
Language:English
Published: Lakehead University 2007
Subjects:
Online Access:http://alcesjournal.org/index.php/alces/article/view/357
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spelling ftjalces:oai:ojs.pkp.sfu.ca:article/357 2023-05-15T13:13:40+02:00 A SPATIAL ANALYSIS OF MOOSE-VEHICLE COLLISIONS IN MOUNT REVELSTOKE AND GLACIER NATIONAL PARKS, CANADA Hurley, Michael V. Rapaport, Eric K. Johnson, Chris J. 2007-01-01 application/pdf http://alcesjournal.org/index.php/alces/article/view/357 eng eng Lakehead University http://alcesjournal.org/index.php/alces/article/view/357/445 http://alcesjournal.org/index.php/alces/article/view/357 Copyright (c) 2007 Alces: A Journal Devoted to the Biology and Management of Moose Alces: A Journal Devoted to the Biology and Management of Moose; Vol. 43 (2007): Alces Vol. 43 (2007); 79-100 2293-6629 0835-5851 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article 2007 ftjalces 2022-02-12T19:35:46Z Moose (Alces alces)-vehicle collisions (MVC) can be costly by ecologically affecting population numbers, economically by vehicle damage, and socially through human injury or mortality. The purpose of this paper is to identify factors related to moose ecology, driver behaviour, and road design that are useful for predicting the spatial location of MVC on the Trans Canada Highway dissecting Mount Revelstoke and Glacier National Parks. We identified 6 subsets of logistic regression models and used Akaike's Information Criteria (AIC) to determine the most parsimonious model within each subset. In addition to this study being the first to examine collisions within these 2 parks, each of these 6 modelling procedures is unique in predicting MVC. Five of the six subsets modelled local-scale/field-based hypotheses of driver visibility, moose evidence, highway design, roadside vegetation, and mosoe habitat, while the sixth subset examined landscape-scale hypotheses through the use of a Geographic Information System (GIS). The Receiver Operator Characteristic (ROC) discriminated between MVC and random inference sites in order to validate the best fit model from each of the 6 subsets. A MVC probability map along the highway was created using the GIS model, providing a powerful and relatively efficient and inexpensive planning tool. The moose evidence model correctly classified the most MVC among the local-scale models. In relation to the spatial analysis, highway planning to reduce MVC risk within the parks should begin by assessing landscape-scale variables with emphasis on distance to wetland and landscape slope. This landscape-scale analysis should be followed by field-based modelling using moose evidence and habitat-related modelling with important predictors of moose tracks, game trails, and coniferous forest habitat. If highway planning cannot be effective in decreasing MVC, mitigation measures should include a public awareness program, speed reduction, and consideration of an alternative intercept foraging plan. Article in Journal/Newspaper Alces alces glacier* Alces (A Journal Devoted to the Biology and Management of Moose) Canada
institution Open Polar
collection Alces (A Journal Devoted to the Biology and Management of Moose)
op_collection_id ftjalces
language English
description Moose (Alces alces)-vehicle collisions (MVC) can be costly by ecologically affecting population numbers, economically by vehicle damage, and socially through human injury or mortality. The purpose of this paper is to identify factors related to moose ecology, driver behaviour, and road design that are useful for predicting the spatial location of MVC on the Trans Canada Highway dissecting Mount Revelstoke and Glacier National Parks. We identified 6 subsets of logistic regression models and used Akaike's Information Criteria (AIC) to determine the most parsimonious model within each subset. In addition to this study being the first to examine collisions within these 2 parks, each of these 6 modelling procedures is unique in predicting MVC. Five of the six subsets modelled local-scale/field-based hypotheses of driver visibility, moose evidence, highway design, roadside vegetation, and mosoe habitat, while the sixth subset examined landscape-scale hypotheses through the use of a Geographic Information System (GIS). The Receiver Operator Characteristic (ROC) discriminated between MVC and random inference sites in order to validate the best fit model from each of the 6 subsets. A MVC probability map along the highway was created using the GIS model, providing a powerful and relatively efficient and inexpensive planning tool. The moose evidence model correctly classified the most MVC among the local-scale models. In relation to the spatial analysis, highway planning to reduce MVC risk within the parks should begin by assessing landscape-scale variables with emphasis on distance to wetland and landscape slope. This landscape-scale analysis should be followed by field-based modelling using moose evidence and habitat-related modelling with important predictors of moose tracks, game trails, and coniferous forest habitat. If highway planning cannot be effective in decreasing MVC, mitigation measures should include a public awareness program, speed reduction, and consideration of an alternative intercept foraging plan.
format Article in Journal/Newspaper
author Hurley, Michael V.
Rapaport, Eric K.
Johnson, Chris J.
spellingShingle Hurley, Michael V.
Rapaport, Eric K.
Johnson, Chris J.
A SPATIAL ANALYSIS OF MOOSE-VEHICLE COLLISIONS IN MOUNT REVELSTOKE AND GLACIER NATIONAL PARKS, CANADA
author_facet Hurley, Michael V.
Rapaport, Eric K.
Johnson, Chris J.
author_sort Hurley, Michael V.
title A SPATIAL ANALYSIS OF MOOSE-VEHICLE COLLISIONS IN MOUNT REVELSTOKE AND GLACIER NATIONAL PARKS, CANADA
title_short A SPATIAL ANALYSIS OF MOOSE-VEHICLE COLLISIONS IN MOUNT REVELSTOKE AND GLACIER NATIONAL PARKS, CANADA
title_full A SPATIAL ANALYSIS OF MOOSE-VEHICLE COLLISIONS IN MOUNT REVELSTOKE AND GLACIER NATIONAL PARKS, CANADA
title_fullStr A SPATIAL ANALYSIS OF MOOSE-VEHICLE COLLISIONS IN MOUNT REVELSTOKE AND GLACIER NATIONAL PARKS, CANADA
title_full_unstemmed A SPATIAL ANALYSIS OF MOOSE-VEHICLE COLLISIONS IN MOUNT REVELSTOKE AND GLACIER NATIONAL PARKS, CANADA
title_sort spatial analysis of moose-vehicle collisions in mount revelstoke and glacier national parks, canada
publisher Lakehead University
publishDate 2007
url http://alcesjournal.org/index.php/alces/article/view/357
geographic Canada
geographic_facet Canada
genre Alces alces
glacier*
genre_facet Alces alces
glacier*
op_source Alces: A Journal Devoted to the Biology and Management of Moose; Vol. 43 (2007): Alces Vol. 43 (2007); 79-100
2293-6629
0835-5851
op_relation http://alcesjournal.org/index.php/alces/article/view/357/445
http://alcesjournal.org/index.php/alces/article/view/357
op_rights Copyright (c) 2007 Alces: A Journal Devoted to the Biology and Management of Moose
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