Poster Sessions, pages 567-640 - ICOET

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Abstract Evaluation of a Citizen-Science Highway Wildlife Monitoring Program Kylie Paul (612-910-9248, skylie101@gmail.com), Len Broberg, and Christopher Servheen, University of Montana, 1721 Phillips Street, Missoula, MT 59802 Michael S. Quinn (403-220-7013, quinn@ucalgary.ca), Faculty of Environmental Design, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4 Canada The Crowsnest Pass in southwestern Alberta, Canada has been highlighted as a critical area for wildlife movement. There are plans to upgrade Highway 3, which cuts through the Pass, to four lanes, with resulting increased traffic volume and speed. Currently, highway traffic volume is between 2,500 to 10,500 vehicles/day. Highway 3 may already be acting as a barrier to large carnivore and ungulate movements patterns, and wildlife mortality from animal/vehicle collisions on Highway 3 is approximately 109 large mammal deaths reported annually for a 46km stretch within the Pass. Detailed wildlife movement information in the Pass is limited. To assist in understanding wildlife movement patterns along the highway to support decision-making for mitigation, a community based monitoring project was developed. The Alberta research institute Miistakis Institute of the Rockies created Road Watch in the Pass (RW), which allows local citizens to enter their wildlife observations along Highway 3 through an interactive web-based mapping tool. Over 1220 observations have been collected in over sixteen months, including 11 species of ungulates and carnivores. This innovative approach to data collection would benefit from an analysis to determine whether the citizen reports are accurately representing visible wildlife activity along Highway 3. There are likely biases in citizen reports, based on unequal sampling effort involving location and frequency of travel. To identify and address these biases, this study compares spatial and temporal wildlife observation data from RW to a systematically gathered dataset using various statistical approaches. We began systematic data collection in May 2006 and will continue through May 2007 to examine spatial and temporal characteristics of large mammal species movement (bighorn sheep, elk, moose, mule deer, white-tailed deer and carnivore species) along the highway. A 46-km stretch of Highway 3 was driven as a strip transect. When we observed an animal along or crossing the highway, UTM location, species, date, time, and other data were recorded. Each hour within the 24-hour period were sampled equally across a full year, allowing temporal analysis. Similar data from RW reports provided by citizens during the same period were extracted from the RW database. From May 2006 to March 2007, 395 transects were driven totaling over 395 hours of data collection and resulting in 681 wildlife observations. Spatial and temporal comparisons will be made between systematically gathered data and concurrent Road Watch data. Analysis will include examination of spatial association between the two data collection processes, comparison of spatial distribution, comparison of hourly and seasonal temporal distribution, effect of any biases on spatial or temporal distribution or species composition, and other analyses. The Road Watch program is an important use of citizen involvement in transportation science. After analysis of RW’s accuracy in representing visible wildlife activity in the Crowsnest Pass, this study will provide suggestions and stipulations to improve the scientific rigor of this unique citizen-science program. <strong>Poster</strong>s 616 <strong>ICOET</strong> 2007 Proceedings
Introduction Roadkill and Landscape Scales on the Californian Central Coast Jordi Puig (+34 948 425600 ext. 6496, jpbaguer@unav.es), University of Navarra, Department of Zoology and Ecology, E-31080 Pamplona, Fax: +34 948 425658 Spain Joe R. McBride (jrm@nature.berkeley.edu), Michael G. Herrin (mikeherrin@berkeley.edu), and Trevor S. Arnold (trevarnold@yahoo.com), University of California, Berkeley, College of Natural Resources, Department of Environmental Science, Policy and Management, 137 Mulford Hall # 3114, Berkeley, CA 94720-3114 USA Abstract: Roadkill data have been analyzed in a 25.6 mile-long highway stretch in the Californian central coast, in search of distribution patterns. The highway stretch was broken up into 1/10 mile sections. Roadkill data were collected along the road, mapped, and analyzed together with surrounding landscape units and landscape features defined at three different scales, namely micro-, meso-, and macro-landscape scales. Landscape and roadkill data were arranged in such a way as to allow numerous comparisons between them at each scale. Most analyses were done by analyzing the line of best fit in X-Y plots. Linear and logarithmic comparisons were made, and t-scores (
Page 1 and 2: Poster Sessions Introduction Ecolog
Page 3 and 4: metamorphs. Road mortality is likel
Page 5 and 6: eproductive abilities and survivors
Page 7 and 8: that the strongest stimuli for immo
Page 9 and 10: hectic and substantial task of crea
Page 11 and 12: Forman, R. T. T. 2000. Estimate of
Page 13 and 14: Lehtinen, R. M. S. M. Galatowitsch,
Page 15 and 16: Sealy, J. B. 2002. Ecology and beha
Page 17 and 18: Abstract Assessing the Stone Marten
Page 19 and 20: Abstract Lessons and Experiences Fr
Page 21 and 22: The Salmon Resource and Sensitive A
Page 23 and 24: Environmental Scoping Application E
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Page 27 and 28: Use of a GIS-Based Model of Habitat
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Page 31 and 32: Background Major Objectives for Roa
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Page 35 and 36: Forest Service Back Roads: Utilizat
Page 37 and 38: Abstract Development of a Bald Eagl
Page 39 and 40: An Alternative to the Openness Rati
Page 41 and 42: Abstract Effectiveness of Black Bea
Page 43 and 44: Highway Median Impacts on Wildlife
Page 45 and 46: Taxa groups (largely based on Calif
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Page 57 and 58: Abstract An Analytical Framework fo
Page 59 and 60: Abstract Measuring Gene Flow Across
Page 61 and 62: Introduction Wildlife Use of Open a
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Page 67 and 68: Abstract An Overview of Recent Deer
Page 69 and 70: Abstract Riparian Restoration Plan
Page 71 and 72: Relating Vehicle-Wildlife Crash Rat
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