Rytwinski Trina, Soanes Kylie, Jaeger Jochen A G, Fahrig Lenore, Findlay C Scott, Houlahan Jeff, van der Ree Rodney, van der Grift Edgar A
Geomatics and Landscape Ecology Research Laboratory, Department of Biology, Carleton University, Ontario, Canada.
Australian Research Centre for Urban Ecology, Royal Botanic Gardens Victoria, C/- School of BioSciences, University of Melbourne, 3010, Victoria, Australia.
PLoS One. 2016 Nov 21;11(11):e0166941. doi: 10.1371/journal.pone.0166941. eCollection 2016.
Road traffic kills hundreds of millions of animals every year, posing a critical threat to the populations of many species. To address this problem there are more than forty types of road mitigation measures available that aim to reduce wildlife mortality on roads (road-kill). For road planners, deciding on what mitigation method to use has been problematic because there is little good information about the relative effectiveness of these measures in reducing road-kill, and the costs of these measures vary greatly. We conducted a meta-analysis using data from 50 studies that quantified the relationship between road-kill and a mitigation measure designed to reduce road-kill. Overall, mitigation measures reduce road-kill by 40% compared to controls. Fences, with or without crossing structures, reduce road-kill by 54%. We found no detectable effect on road-kill of crossing structures without fencing. We found that comparatively expensive mitigation measures reduce large mammal road-kill much more than inexpensive measures. For example, the combination of fencing and crossing structures led to an 83% reduction in road-kill of large mammals, compared to a 57% reduction for animal detection systems, and only a 1% for wildlife reflectors. We suggest that inexpensive measures such as reflectors should not be used until and unless their effectiveness is tested using a high-quality experimental approach. Our meta-analysis also highlights the fact that there are insufficient data to answer many of the most pressing questions that road planners ask about the effectiveness of road mitigation measures, such as whether other less common mitigation measures (e.g., measures to reduce traffic volume and/or speed) reduce road mortality, or to what extent the attributes of crossing structures and fences influence their effectiveness. To improve evaluations of mitigation effectiveness, studies should incorporate data collection before the mitigation is applied, and we recommend a minimum study duration of four years for Before-After, and a minimum of either four years or four sites for Before-After-Control-Impact designs.
每年道路交通导致数亿动物死亡,对许多物种的种群构成了严重威胁。为了解决这一问题,有四十多种道路缓解措施可供使用,其目的是减少道路上的野生动物死亡率(路杀)。对于道路规划者来说,决定使用哪种缓解方法一直存在问题,因为关于这些措施在减少路杀方面的相对有效性的可靠信息很少,而且这些措施的成本差异很大。我们使用来自50项研究的数据进行了一项荟萃分析,这些研究量化了路杀与旨在减少路杀的缓解措施之间的关系。总体而言,与对照相比,缓解措施使路杀减少了40%。有或没有穿越结构的围栏可使路杀减少54%。我们发现没有围栏的穿越结构对路杀没有可检测到的影响。我们发现,相对昂贵的缓解措施比便宜的措施能更有效地减少大型哺乳动物的路杀。例如,围栏和穿越结构相结合使大型哺乳动物的路杀减少了83%,相比之下,动物检测系统减少了57%,而野生动物反光装置仅减少了1%。我们建议,除非使用高质量的实验方法测试其有效性,否则不应使用反光装置等便宜的措施。我们的荟萃分析还凸显了这样一个事实,即没有足够的数据来回答道路规划者提出的许多关于道路缓解措施有效性的最紧迫问题,比如其他不太常见的缓解措施(如减少交通流量和/或速度的措施)是否能降低道路死亡率,或者穿越结构和围栏的属性在多大程度上影响其有效性。为了改进对缓解有效性的评估,研究应在应用缓解措施之前纳入数据收集,我们建议前后对照设计的研究最短持续时间为四年,前后对照影响设计的最短持续时间为四年或四个地点。