Multi-scale spatiotemporal analyses of moose-vehicle collisions: A case study in northern Vermont

International Journal of Geographical Information Science

Volumn 23, Issue 11, 2009, Pages 1389-1412

  Mountrakis, Giorgos ^a   Gunson, Kari ^b  

^a STATE UNIVERSITY OF NEW YORK   (United States)

^b Eco Kare International   (Canada)

Author keywords

Kernel; Moose; Ripley's K; Spatiotemporal; Vermont; Wildlife vehicle collisions

Indexed keywords

CLUSTER ANALYSIS; COLLISION; DATA SET; DEER; ESTIMATION METHOD; GIS; PERIODICITY; SPATIOTEMPORAL ANALYSIS; TRANSPORTATION PLANNING;

NORTH AMERICA; UNITED STATES; VERMONT;

ANIMALIA;

EID: 70350770739     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658810802406132     Document Type: Article

References (53)

1. AUSTIN, J.K., VIANI, F. and HAMMOND, F., 2006, Vermont Wildlife Linkage Habitat Analysis (Burlington, VT: Vermont Department of Fish and Wildlife Service).
2. BAILEY, T.C. and GATRELL, A.C., 1995, Interactive Spatial Data Analysis (Essex: Longman Scientific and Technical).
3. BASTIN, L., ROLLASON, J., HILTON, A., PILLAY, D., CORCORAN, C., ELGY, J., LAMBERT, P., DE, P., WORTHINGTON, T. and BURROWS, K., 2007, Spatial aspects of MRSA epidemiology: a case study using stochastic simulation, kernel estimation and SaTScan. International Journal of Geographical Information Science, 21, pp. 811-836.
4. BERGSTROM, R. and HJELJORD, O., 1987, Moose and vegetation interactions in Northwestern Europe and Poland. Swedish Wildlife Research, Suppl. 1, pp. 213-228.
5. BESAG, J. and DIGGLE, P.J., 1977, Simple Monte Carlo test for spatial pattern. Applied Statistics, 26, pp. 327-333.
6. BURT, J.E. and BARBER, G.M., 1996, Elementary Statistics for Geographers (New York: Guilford Press).
7. CARSLAKE, D., BENNETT, M., BOWN, K., HAZEL, S., TELFER, S. and BEGON, M., 2005, Space- time clustering of cowpox virus infection in wild rodent populations. Journal of Animal Ecology, 74, pp. 647-655.
8. CEDERLUND, G. and OKARMA, H., 1988, Home range and habitat use of adult female moose. Journal of Wildlife Management, 52, pp. 336-343.
9. CLEVENGER, A.P. and WALTHO, N., 2000, Factors influencing the effectiveness of wildlife underpasses in Banff National Park, Alberta, Canada. Conservation Biology, 14, pp. 47-56.
10. CLEVENGER, A.P., CHRUSZCZ, B. and GUNSON, K.E., 2001, Highway mitigation fencing reduces wildlife-vehicle collisions. Wildlife Society Bulletin, 29, pp. 646-653.
11. CLEVENGER, A.P., CHRUSZCZ, B. and GUNSON, K.E., 2003, Spatial patterns and factors influencing small vertebrate fauna road-kill aggregations. Biological Conservation, 109, pp. 15-26.
12. DALE, M.R.T., 1999, Spatial Pattern Analysis in Plant Ecology (Cambridge: Cambridge University Press).
13. D'ANGELO, G.J., D'ANGELO J.G., GALLAGHER, G.R., OSBORN, D.A., MILLER, K.V. and WARREN, R.J., 2006, Evaluation of wildlife warning reflectors for altering white-tailed deer behavior along roadways. Wildlife Society Bulletin, 34, pp. 1175-1183.
14. DIGGLE, P.J., CHETWYND, A.G., HAGGKVIST, R. and MORRIS, S.E., 1995, Second-order analysis of space-time clustering. Statistical Methods in Medical Research, 4, pp. 124-136.
15. DIGGLE, P.J., 2003, Statistical Analysis of Spatial Point Patterns (Oxford: Oxford University Press).
16. DUSSAULT, C., ROULIN, M., COURTOIS, R. and OUELLET, J.P., 2007, Temporal and spatial distribution of moose-vehicle accidents in the Laurentides Wildlife Reserve, Quebec, Canada. Wildlife Biology, 12, pp. 415-426.
17. ENVIRONMENTAL SYSTEMS RESEARCH INSTITUTE (ESRI), 2005, ArcMap GIS, version 9.1 (Redlands, CA: ESRI).
18. FIEBERG, J., 2007, Utilization distribution estimation using weighted kernel density estimators. Journal of Wildlife Management, 71, pp. 1669-1675.
19. FORMAN, R.T.T. and GODRON, M., 1981, Patches and structural components for a landscape ecology. BioScience, 31, pp. 733-740.
20. FOTHERHINGHAM, A.S., BRUNSDON, C. and CHARLTON, C., 2000, Quantitative Geography: Perspectives on Spatial Data Analysis (London: Sage).
21. FRANZMANN, A.W. and SCHWARTZ, C.C., 1997, Ecology and Management of the North American Moose (Washington, DC: Smithsonian Institution Press).
22. GITZEN, R.A., MILLSPAUGH, J.A. and KERNOHAN, B.J., 2006, Bandwidth selection for fixed- kernel analysis of animal utilization distributions. Journal of Wildlife Management, 70, pp. 1334-1344.
23. GROOT, G.W.T.A. and HAZEBROEK, E., 1996, Ungulate traffic collisions in Europe. Conservation Biology, 10, pp. 1059-1067.
24. GUNDERSEN, H., ANDREASSEN, H.P. and STORAAS, T., 1998, Spatial and temporal correlates to Norwegian moose-train collisions. Alces, 34, pp. 385-394.
25. HAASE, P., 1995, Spatial pattern analysis in ecology based on Ripley's K-function: introduction and methods of edge correction. Journal of Vegetation Science, 6, pp. 574-582.
26. HUIJSER, M.P., MCGOWEN, P., FULLER, J., HARDY, A., KOCIOLEK, A., CLEVENGER, A.P., SMITH, D. and AMENT, R., 2007, Wildlife-vehicle collision reduction study. Report to Congress (Washington, DC: US Department of Transportation, Federal Highway Administration).
27. HUBBARD, M.W., DANIELSON, B.J. and SCHMITZ, R.A., 2000, Factors influencing the location of deer-vehicle accidents in Iowa. Journal of Wildlife Management, 64, pp. 707-712
28. JOYCE, T.L. and MAHONEY, S.P., 2001, Spatial and temporal distributions of moose-vehicle collisions in Newfoundland. Wildlife Society Bulletin, 29, pp. 281-291.
29. KRISP, J.M. and DUROT, S., 2007, Segmentation of lines based on point densities - An optimisation of wildlife warning sign placement in southern Finland. Accident Analysis and Prevention, 39, pp. 38-46.
30. LEVINE, N., 2005, CrimeStat: A Spatial Statistics Program for the Analysis of Crime Incident Locations (version 3.0) (Houston, TX: Ned Levine and Associates).
31. MAINE DEPARTMENT OF TRANSPORTATION 2001, Collisions between large wildlife species and motor vehicles in Maine. Interim Report, pp. 33.
32. MARKGREN, G., 1974, The moose in Fennoscandia. Naturaliste Canadien, 101, pp. 185-194.
33. MCGUIRE, T.M. and MORRALL, J.F., 2000, Strategic highway improvements to minimize environmental impacts within the Canadian Rocky Mountain National Parks. Canadian Journal of Civil Engineering, 27, pp. 523-532.
34. MOSER, B.W. and GARTON, E.O., 2007, Effects of telemetry location error on space-use estimates using a fixed-kernel density estimator. Journal of Wildlife Management, 71, pp. 2421-2426.
35. THE MATHWORKS 2005, Matlab, version 7.0 (Natick, MA: Mathworks).
36. OKABE, A. and YAMADA, I., 2001, The K-function method on a network and its computational implementation. Geographical Analysis, 33, pp. 271-290.
37. O'SULLIVAN, D. and UNWIN, D.J., 2003, Geographic Information Analysis (Hoboken, NY: John Wiley & Sons).
38. PETERSON, R.L., 1955, North American Moose (Toronto, Ont.: University of Toronto).
39. PODANI, J. and CZARAN, T., 1997, Individual-centred analysis of mapped point patterns representing multi-species assemblages. Journal of Vegetation Science, 8, pp. 259-270.
40. RAMP, D.J., CALDWELL, J., EDWARDS, K.A., WARTON, D. and CROFT, D.B., 2005, Modeling of wildlife fatality hotspots along the snowy mountain highway in New South Wales, Australia. Biological Conservation, 126, pp. 474-490.
41. RAMP, D., WILSON, V.K. and CROFT, D.B., 2006, Assessing the impacts of roads in peri- urban reserves: road-based fatalities and road usage by wildlife in the Royal National Park, New South Wales, Australia. Biological Conservation, 129, pp. 348-359.
42. RIPLEY, B.D., 1976, The second-order analysis of stationary point processes. Journal of Applied Probability, 13, pp. 255-266.
43. RIPLEY, B.D., 1981, Spatial Statistics (Chichester: John Wiley & Sons).
44. ROMIN, L.A. and BISSONETTE, J.A., 1996, Deer-vehicle collisions: status of state monitoring activities and mitigation efforts. Wildlife Society Bulletin, 24, pp. 276-283.
45. SAUER, T.M., BEN-DAVID, M. and BOWYER, R.T., 1999, A new application of the adaptivekernal method: estimating linear home ranges of River otters, Lutra Canandensis, Canadian Field Naturalist, 113, pp. 419-424.
46. SCHWABE, K.A., SCHUHMANN, P.W. and TONKOVICH, M., 2002, A dynamic exercise in reducing deer-vehicle collisions: Management through vehicle mitigation techniques and hunting. Journal of Agricultural and Resource Economics, 27, pp. 261-280.
47. SEILER, A., 2004, Trends and spatial patterns in ungulate-vehicle collisions in Sweden. Wildlife Biology, 10, pp. 301-313.
48. SEILER, A., 2005, Predicting locations of moose-vehicle collisions in Sweden. Journal of Applied Ecology, 42, pp. 371-382.
49. SPOONER, P.G., LUNT, I.D., OKABE, A. and SHIODE, S., 2004, Spatial analysis of roadside Acacia populations on a road network using the network K-function. Landscape Ecology, 19, pp. 491-499.
50. STEENBERGHEN, T., DUFAYS, T., THOMAS, I. and FLAHAUT, B., 2004, Intra-urban location and clustering of road accidents using GIS: a Belgian example. International Journal of Geographic Information Science, 18, pp. 169-181.
51. THOMPSON, E.H., 2002, Vermont natural heritage: conserving biodiversity in the green mountain state. A report from the Vermont Biodiversity Project (Burlington, VT: Queen City Printers).
52. VERMONT DEPARTMENT OF FISH AND WILDLIFE. 1998, Moose management plan for the state of Vermont 1998-2007 (South Waterbury, VT: Vermont Department of Fish and Wildlife).
53. WILESMITH, J.W., STEVENSON, M.A., KING, C.B. and MORRIS, R.S., 2003, Spatiotemporal epidemiology of foot-and-mouth disease in two countries of Great Britain in 2001. Preventive Veterinary Medicine, 61, pp. 157-170.