Understand the spatial distribution of wildlife roadkill is necessary to design mitigation measures minimizing damage to the fauna and the human population. Thus, we aimed to analyze the spatial distribution of wildlife roadkill in the Brazilian savanna (“Cerrado”) to test whether roadkill hotspots match between the studied animal groups. We collected data of wildlife roadkill over a year in the southwest region of the state of Goiás, Brazil. To understand the distribution of roadkill on highways and to identify the aggregation hotspots, we used the modified two-dimensional Ripley K test and the two-dimensional hotspot identification analysis. We detected that birds and mammals have different aggregation points. These points may vary when the two groups are analyzed together or when species with greater abundance are removed from the analyses. Hence, we concluded that using generalist approaches including several species, are not enough, and can lead to erroneous conclusions. Therefore, it is necessary that the analyses be done in groups.

中文翻译：

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塞拉多的道路杀手热点在脊椎动物群中是否相等？

了解野生动物道路死亡的空间分布对于设计缓解措施以尽量减少对动物群和人口的损害是必要的。因此，我们旨在分析巴西稀树草原（“Cerrado”）中野生动物路杀的空间分布，以测试所研究的动物群体之间的路杀热点是否匹配。我们收集了巴西戈亚斯州西南部地区一年多来的野生动物道路死亡数据。为了解公路上的路杀分布并识别聚集热点，我们使用了改进的二维 Ripley K 检验和二维热点识别分析。我们检测到鸟类和哺乳动物有不同的聚集点。当将两组一起分析或从分析中删除丰度更高的物种时，这些点可能会有所不同。因此，我们得出结论，使用包括多个物种的通才方法是不够的，并且可能导致错误的结论。因此，有必要分组进行分析。