Department of Geography, Planning and Environment, Concordia University Montreal, 1455 de Maisonneuve Blvd. West, Suite H1255, Montréal, Québec, H3G 1M8, Canada.
Road and Railroad Ecology Research Group (NERF-UFRGS), Federal University of Rio Grande do Sul, Av. Bento Gonçalves, 9500, Porto Alegre, RS, CEP 91501-970, Brazil.
Conserv Biol. 2020 Oct;34(5):1210-1220. doi: 10.1111/cobi.13502. Epub 2020 Jun 12.
Mortality of animals on roads is a critical threat to many wildlife populations and is poised to increase strongly because of ongoing and planned road construction. If these new roads cannot be avoided, effective mitigation measures will be necessary to stop biodiversity decline. Fencing along roads effectively reduces roadkill and is often used in combination with wildlife passages. Because fencing the entire road is not always possible due to financial constraints, high-frequency roadkill areas are often identified to inform the placement of fencing. We devised an adaptive fence-implementation plan to prioritize road sections for fencing. In this framework, areas along roads of high, moderate, and low levels of animal mortality (respectively, roadkill hotspots, warmspots, and coldspots) are identified at multiple scales (i.e., in circles of different diameters [200-2000 m] in which mortality frequency is measured). Fence deployment is based on the relationship between the amount of fencing being added to the road, starting with the strongest roadkill hotspots, and potential reduction in road mortality (displayed in mortality-reduction graphs). We applied our approach to empirical and simulated spatial patterns of wildlife-vehicle collisions. The scale used for analysis affected the number and spatial extent of roadkill hot-, warm-, and coldspots. At fine scales (e.g., 200 m), more hotspots were identified than at coarse scales (e.g., 2000 m), but combined the fine-scale hotspots covered less road and less fencing was needed to reduce road mortality. However, many short fences may be less effective in practice due to a fence-end effect (i.e., animals moving around the fence more easily), resulting in a trade-off between few long and many short fences, which we call the FLOMS (few-long-or-many-short) fences trade-off. Thresholds in the mortality-reduction graphs occurred for some roadkill patterns, but not for others. Thresholds may be useful to consider when determining road-mitigation targets. The existence of thresholds at multiple scales and the FLOMS trade-off have important implications for biodiversity conservation.
道路上动物的死亡率对许多野生动物种群构成了严重威胁,而且由于正在进行和计划中的道路建设,这种死亡率很可能会大幅增加。如果这些新道路无法避免,那么就需要采取有效的缓解措施来阻止生物多样性的下降。道路沿线设置围栏可以有效地减少动物被车撞死的数量,通常与野生动物通道一起使用。由于资金限制,并非总能将整个道路都围起来,因此通常会确定高频率的动物被撞死区域,以便为围栏的设置提供信息。我们设计了一种自适应围栏实施计划,以确定需要围栏的道路路段的优先级。在这个框架中,在多个尺度上(即在测量死亡率频率的不同直径的圆圈中[200-2000 米])确定了道路上动物死亡率较高、中等和较低水平的区域(分别为道路动物死亡热点、温暖点和寒冷点)。围栏的部署是基于在道路上增加围栏的数量与减少道路动物死亡率之间的关系(通过死亡率减少图来显示)。我们将我们的方法应用于野生动物与车辆碰撞的实证和模拟空间模式。分析所使用的尺度会影响道路动物死亡热点、温暖点和寒冷点的数量和空间范围。在细尺度(例如 200 米)上,比在粗尺度(例如 2000 米)上确定了更多的热点,但综合来看,细尺度热点覆盖的道路更少,减少道路动物死亡率所需的围栏也更少。然而,由于围栏末端效应(即动物更容易绕过围栏),许多短围栏在实践中可能效果不佳,这导致了长围栏少和短围栏多之间的权衡,我们称之为 FLOMS(few-long-or-many-short)围栏权衡。对于一些道路动物死亡模式,死亡率减少图中出现了阈值,但对于其他模式则没有。在确定道路缓解目标时,阈值可能是有用的。在多个尺度上存在阈值以及 FLOMS 权衡对生物多样性保护具有重要意义。