Postgraduate Program in Ecology and Conservation, State University of Mato Grosso, Nova Xavantina, Mato Grosso, Brazil.
Faculdade de Iporá, FAI, Iporá, Goiás, Brazil.
Environ Manage. 2020 Apr;65(4):565-573. doi: 10.1007/s00267-020-01263-y. Epub 2020 Feb 14.
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.
了解野生动物道路死亡的空间分布对于设计减轻对动物和人类的伤害的措施是必要的。因此，我们旨在分析巴西草原（“塞拉多”）的野生动物道路死亡的空间分布，以测试道路死亡热点是否在研究的动物群体之间匹配。我们在巴西戈亚斯州西南部地区收集了一年的野生动物道路死亡数据。为了了解高速公路上的道路死亡分布情况并确定聚集热点，我们使用了改进的二维 Ripley K 检验和二维热点识别分析。我们发现鸟类和哺乳动物有不同的聚集点。当两组一起分析或从分析中删除丰度较高的物种时，这些点可能会有所不同。因此，我们得出结论，使用包括多种物种的通才方法是不够的，并且可能会导致错误的结论。因此，有必要按组进行分析。
