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Modernization of railways in Poland should ensure not only safety of passengers, but also limit their negative impact on the environment, especially possibility of train collisions with animals. The aim of the study conducted in the years 2007−2013 on the E20 railway Mińsk Mazowiecki−Siedlce were (1) to record places where animals cross the railway most often, both on the stretches secured and unsecured with sonic deterring devices (UOZ−1), and (2) to specify the number and locations of collisions of trains with mammals. Winter tracking along the railways identified 12 mammal species that crossed the railways. These included four ungulates (moose, red deer, roe deer, wild boar) and eight smaller mammals (red fox, marten, domestic dog, domestic cat, polecat, stoat, brown hare, red squirrel). The average number of tracks of all mammals was higher on the stretches with UOZ−1 than on the stretches over 100 meters away from UOZ−1 (1.52 and 1.01/100 m, respectively, p<0.0001). For ungulates it was higher on the stretches with UOZ−1 (0.66 and 0.38/100 m respectively, p<0.0005) as well. During the study 26 cases of animals kills as result of collisions with trains were recorded: 9 mooses, 2 red deer, 7 roe deer, 15 wild boars, 1 fox, 1 stone marten, 4 dogs. Most of these collisions took place out of the range of UOZ−1.
Where train tracks bisect moose habitat, trains may collide with moose, impacting the local population and creating a safety concern for rail traffic. Understanding the patterns underlying these collisions, is critical for helping managers choose the right mitigation methods to reduce mortality on railways. Our objective was to analyze the long−term temporal patterns of moose−train collisions. We used data on moose−train collisions from British Columbia (Canada) obtained from Canadian National Railways and British Columbia Rail Corporation. We analysed data from collision events that occurred between 1990 and 2010, excluding 1995−1996 for which there were no data. A total number of days, when moose−train collisions occurred (LD), and a total number of moose killed from collisions (LK) were calculated in annual, seasonal and monthly resolutions. We also investigated distribution of these data for day of the week. We used chi² and Mann−Kendall tests to investigate whether LD or LK changed over time and Pearson correlation coefficient to relate these trends to the annual moose harvest in the analysed period. The number of days in which moose−train collisions occurred varied by year and by time of year. LD occurred most often in winter and least often in summer, with the highest number being recorded in February and the lowest in July. There were no significant differences in the number of moose−train collisions on various days of the week. We found no significant trends in LD for seasons, months (except for November) and weekdays for the period under investigation. In general, LK revealed a temporal pattern as LD, however number of killed moose was significantly lower on Fridays and Saturdays comparing to other week days. Because moose−train collision patterns did not change significantly between years, we assume that the temporal patterns exhibited in our study likely hold true from year to year and can be used to inform managers considering mitigation measures aimed at reducing moose−train collisions.
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