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How to Win At Saving Wildlife
and Making Roads Safer
Patricia Cramer, PhD
Colorado Wildlife Summit June 2017
Thanks to Research Sponsors
Outline
I. Data- To ID
Challenges and
Potential Solutions
II.Research- To
Evaluate Solutions
and Inform Actions
Data – Collect it and use to inform decisions
Take Home Points
Research - Informs the practice and helps create
the best wildlife mitigation designs
I. DATA –COLLECT IT, MAP IT, USE IT
Taken from South Dakota Dept. of Transportation
Research Project, Cramer et al. 2016
WILDLIFE-VEHICLE COLLISION CRASH DATA
Crash Data is reported to highway patrol, sheriff, police – forms have an
entry for wild animal involved
Typically has to be at least $1,500 damage
But….
Truck drivers do not report
Uninsured do not report
And other factors
Results in Crash Data being one-fifth to one-tenth of carcass data.
WILDLIFE-VEHICLE COLLISION CARCASS DATA
Collected by
- DOT maintenance workers
- Contractors to DOT
- Can be members of the public
In Utah found to be 5 times more than reported crashes
In Virginia, > 9 times more than reported crashes
Inconsistently collected over a state, and over the years
BENEFIT-COST ANALYSIS WITH CRASH DATA
Incident Description
US DOT 2013 Cost
Estimate per Occurrence
(US Dollars)*
South Dakota DOT
2015 Cost Per
Occurrence
Fatal $ 9,395,247 $ 370,800
Serious Injuries (Type A) $ 506,217 $ 370,800
Visible Injuries (Type B) $ 185,144 $ 370,800
Possible Injuries (Type C) $ 105,228 $ 370,800
Property Damage Only
(PDO)$ 17,343 $ 17,343
Crash Injury Type
Average
Reported
Crashes per
Year
SDDOT Average $
Value per Crash
of This Type
Based on US DOT
Estimates
Total Monetary
Value per Crashes
of Each Severity
Type
(Number x Cost)
Fatal 1.5 $ 370,800* $ 556,200
Serious, Visible, and Possible
Injury73.5 $ 370,800*
$ 27,253,800
Property Damage Only 4,621 $ 17,343 $ 80,142,003
Totals 4,696 $107,952,003
South Dakota WVC Crashes Average Annual
Cost to Society 2015
Safety Analysis Annual Average Cost to Society in
South Dakota for Reported WVC Crashes = 107.9
million dollars
MAP CRASH AND CARCASS DATA
To Identify Highest Incident Hotspot areas
and
What Species are Involved
Western State Wildlife-Vehicle Collision Hotspot Maps
Colorado
Utah WVC Carcass Reporter
Website with MapDatabaseSmart Phone
App
Slide courtesy of Daniel Olson
CREATE SMARTPHONE APPS TO COLLECT AND MAP WVC CARCASS DATA
South Dakota Game,
Fish, and Parks
&
South Dakota DOT
Used
Survey123 from ESRI
South
Dakota
Data points
from one
carcass
collector –
Just 3
weeks in
April, 2017
Other Types of Data Used to Inform Transportation Planning
Idaho Transportation Department Interactive Website for Mitigation
(http://iplan.maps.arcgis.com/apps/MapSeries/index.html?appid=91
70745dcb2f479c98ec836608ceeb7e)
+ +
=
Integrate Wildlife Agency Wildlife Habitat and Linkage Maps into Transportation Planning
Create statewide prioritization process
VISION FOR THE FUTURE: GET DATA AND GET INTO THE GAME
II. RESEARCH TO ANSWER YOUR QUESTIONS
Wildlife Crossing Structures with Fencing
A wildlife crossing is a culvert or bridge that was designed specifically for wildlife.
Crossing, with
wildlife-proof
fencing is the
MOST effective
way to keep wildlife
off roads.
Wildlife Crossings In North America
4
Wildlife Crossings in Canada and
United States as of 2010
Research Project with Dr. David Theobald
~600 Terrestrial Crossings in Western North America 2016
First Concerns – Large Animals
Bog Turtle
Black Bear - Montana
Florida Panther
Mule Deer - Utah
Studying Wildlife & Wildlife Crossings
Place cameras
according to
objectivesAnalyze photos
Plot data on successful
passages, repels, totals,
changes over time
Ask “What is the Question?” Figure out how cameras can help
answer that question and meet the objectives.
WILDLIFE CROSSING STRUCTURES WORK
Pre-Construction and Control Monitoring to Set Performance Measures for Success
US 93 ROW Pre-Construction
Success Rate = 64 %
Rate of Repellency = 10%
Success per Camera Day = 0.4
CR 370 ROW Control
Success rate 63%
Rate of Repellency = 5%
Success per Camera Day = 2.9
Utah Wildlife Crossing Structure Study
Our six year study documented over 43,000 mule
deer movements under and over 15 of Utah’s 44
wildlife crossing structures Photo credit: P. Cramer, USU, UDOT, UDWR
2015-2016 Monitoring:
Mule Deer Used
Overpass 4,666 times
Underpasses > 2,000
times
Colorado State Highway 9 Wildlife Crossing Structures
RESEARCH INFORMS FUTURE DESIGNS
Most Important Dimensions for Success Rate:
1 – Openness = height x width / length
2 – Minimize Length
3 – Maximize Width
4 – Maximize Height
Mule Deer - Utah
In Utah, Bridges Worked Best for Mule deer and Elk
Mule Deer & Most Wildlife Prefer Using Bridges Over Culverts
In Utah, Success Rates of Mule Deer at
Bridges
Established bridges ~ 95%
Newer bridges from 84 to 89%
Montana US 93 Research
White-Tailed Deer Use Short Bridges
White-Tailed Deer Success Per Day Plotted Against Openness
0 1 2 3 4 5 6
Openness
0
1
2
3
4
5
Tota
l success p
er
day
bridgeculverttype
MDT: Total Success Per Dayversus Openness
Openness = Height x Width
Length
Cramer and Hamlin US 93
Recommendations for White-Tailed
Deer Crossing Structures
Maximize Width
Minimize Length
Height is Least Important
Fencing helps reduce WVC, but
not critical for WTD success rate
Our Potential Solution . . .
Elk Need
Training
Technology Helps Create Solutions
Mule Deer - Utah
Can Mule Deer Migration Paths Be Re-Routed?
Existing Sub-standard Culvert Exactly Where Deer Formerly
Went Over the Road
Few mule deer (less than 10 percent that approached) used
this culvert
New Wildlife Crossing Culverts
Mule Deer Migration
was changed from MP
39.5 Telegraph Culvert
they wouldn’t use to…..
Mule Deer Migration
was changed from MP
39 Telegraph Culvert
they wouldn’t use to….
MP 40.5 New Wildlife
Crossing Culvert, 1.0
miles to west
Take Home Message
Collect and use information to make best
decisions for solving WVC and wildlife
habitat fragmentation problems
Never doubt
the power of a
few individuals
to change the
world, indeed,
it is the only
thing that ever
has.
Margaret Mead