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The identification of wildlife-vehicle collision hotspots: Citizen science reveals spatial and temporal patterns
Ecological Processes ( IF 4.6 ) Pub Date : 2021-01-07 , DOI: 10.1186/s13717-020-00271-4
Francesco Valerio , Marco Basile , Rosario Balestrieri

Linear infrastructures (e.g., roads, railways, pipelines, and powerlines) pose a serious threat to wildlife, due to the risk of wildlife-vehicle collisions (roadkills). The placement of mitigation measures, such as crossing structures, should consider species’ life cycles and ecological requirements. Such an assessment would require data collection over large areas, which may be possible by employing citizen science. In this study, we aimed to identify spatio-temporal trends of roadkill occurrence using citizen science data from one of the most urbanized and biodiversity-rich regions of Italy. Temporal trends were analyzed using generalized additive models, while landscape patterns were assessed by identifying significant thresholds over land cover gradients, related to increases in relative roadkill abundance, by employing threshold indicator taxa analysis. Our approach recorded a total of 529 roadkills, including 33 different species, comprising 13 mammal, 10 bird, 6 reptile, and 2 amphibian species. Statistical analysis indicated significant temporal trends for the red fox, the European hedgehog, the stone marten and the European badger, with peaks in roadkill occurrence between the winter and spring months. Relative roadkill abundance increased mostly in landscapes with anthropogenic land cover classes, such as complex cultivations, orchards, or urban surfaces. Our results allowed us to develop a map of potential roadkill risk that could assist in planning the placement of mitigation measures. Citizen science contributions from highly populated areas allowed data collection over a large area and a dense road network, and also directly led to the evaluation of management decisional options.

中文翻译:

野生动物与汽车碰撞热点的识别:公民科学揭示了时空格局

线性基础设施(例如,道路,铁路,管道和电力线)对野生生物造成了严重威胁,因为存在野生生物与车辆碰撞的危险(道路杀伤性)。诸如跨界结构之类的缓解措施的放置应考虑物种的生命周期和生态要求。这种评估将需要在大范围内收集数据,这可以通过运用公民科学来实现。在这项研究中,我们旨在使用来自意大利城市化程度最高,生物多样性最丰富的地区之一的公民科学数据来确定道路杀伤事件的时空趋势。使用广义加性模型分析了时间趋势,同时通过确定与相对道路杀伤剂数量增加有关的土地覆盖梯度上的重要阈值来评估景观格局,通过使用阈值指标分类单元分析。我们的方法记录了总共529种道路杀伤剂,包括33种不同的物种,包括13种哺乳动物,10种鸟类,6种爬行动物和2种两栖动物。统计分析表明,赤狐,欧洲刺猬,石貂和欧洲badge有明显的时间趋势,冬季和春季之间道路杀伤发生的高峰。在具有人为土地覆盖类型的景观中,例如复杂的耕种,果园或城市表面,相对道路杀伤剂的丰度主要增加。我们的结果使我们能够绘制潜在道路杀伤风险的地图,这可以帮助规划缓解措施的位置。来自人口稠密地区的公民科学贡献使人们能够在大面积和密集的道路网络上收集数据,
更新日期:2021-01-07
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