Photo credit: Reno Sommerhalder Banff National Park, Alberta NCHRP 25-27 Update: Evaluation of the Use and Effectiveness of Wildlife Crossings in North America Patricia Cramer & John Bissonette USGS – Utah Coop Fish & Wildlife Research Unit, Utah State University
NCHRP 25-27 Update: Evaluation of the Use and Effectiveness of Wildlife Crossings in North America. Patricia Cramer & John Bissonette USGS – Utah Coop Fish & Wildlife Research Unit, Utah State University. Photo credit: Reno Sommerhalder. Banff National Park, Alberta. Research Tasks. - PowerPoint PPT Presentation
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Photo credit: Reno Sommerhalder Banff National Park, Alberta
NCHRP 25-27 Update:Evaluation of the Use and
Effectiveness of Wildlife Crossings in North America
Patricia Cramer & John Bissonette
USGS – Utah Coop Fish & Wildlife Research Unit, Utah State University
Objectives Research Tasks
Research Results
Decision Guide
Outline of Presentation
To understand and To understand and communicate ways tocommunicate ways to
*increase the permeability *increase the permeability of the roaded landscape of the roaded landscape for wildlife for wildlife
*to reduce animal-vehicle *to reduce animal-vehicle collisions and overall collisions and overall road associated death of road associated death of wildlifewildlife
NCHRP 25-27 Objective
Photographer unknown
Decision Guide for Mitigating Decision Guide for Mitigating Roads for WildlifeRoads for Wildlife
NCHRP 25-27 Final Product
www.wildlifeandroads.org
Photo credit: R. Sommerhalder Yoho National Park, Trans Canada Highway
Evaluation of the Use and Effectiveness Evaluation of the Use and Effectiveness of Wildlife Crossingsof Wildlife Crossings
Telephone survey
Priorities
Safety Modeling
Allometric Scaling
Accuracy Modeling
Small Mammal Research
Decision Guide
Research Tasks
Crash- Carcass Modeling
NCHRP 25-27NCHRP 25-27
Safety ModelingSafety Modeling
1) Statistically based analysis of animal-vehicle 1) Statistically based analysis of animal-vehicle collisions help to reduce the 'noise' in the data, collisions help to reduce the 'noise' in the data, leading to more informed decision makingleading to more informed decision making
2) Traffic volume is the most significant predictor 2) Traffic volume is the most significant predictor of crashes in commonly available databasesof crashes in commonly available databases
Bhagwant Persuad, Craig Lyon, Keith Knapp
Research Results
Crash and Carcass Crash and Carcass Magnitude and Pattern Magnitude and Pattern ComparisonComparison
Reported Reported carcass carcass and and crash datacrash data give give different mapping different mapping resultsresults
Keith Knapp, Bhagwant Persaud, Craig Lyon
Research Results
Photo credit: S. Zahner, Caltrans
Accuracy ModelingAccuracy Modeling
Spatially accurate Spatially accurate carcass data (within carcass data (within 3 m) shows different 3 m) shows different results than data to results than data to nearest mile markernearest mile marker
Anthony Clevenger A. Hardy, M. Huijser, K. Gunson, B. Chruszcz
Photo credit: P. Poszig
Wolf on Highway 93 Kootenay National Park, Alberta
Incorporate wildlife Incorporate wildlife mitigation needs mitigation needs earlyearly in the in the transportation transportation planning processplanning process
Photo credit: R. Sommerhalder
Banff National Park, Alberta
The 7 Major Steps to The 7 Major Steps to Creating Wildlife Creating Wildlife