干旱区生态环境知识资源中心(Arid): Mammalian Roadkill in a Semi-Arid Region of Brazil: Species, Landscape Patterns, Seasonality, and Hotspots

Arid

DOI	10.3390/d15060780
	Mammalian Roadkill in a Semi-Arid Region of Brazil: Species, Landscape Patterns, Seasonality, and Hotspots
	Santos, Raul; Shimabukuro, Ayko; Taili, Itainara; Muriel, Roberto; Lupinetti-Cunha, Artur; Freitas, Simone Rodrigues; Calabuig, Cecilia
通讯作者	Santos, R ; Calabuig, C
来源期刊	DIVERSITY-BASEL
EISSN	1424-2818
出版年	2023
卷号	15 期号:6
英文摘要	Roadkill is one of the principal causes of the loss of biodiversity around the world. The effects of roads on mammals are still poorly understood in regions with a semi-arid climate, where many knowledge gaps persist. The present study provides an inventory of the mammalian species affected on highways in northeastern Brazil, as well as identifying roadkill hotspots and contributing to the understanding of how seasonality and the landscape may influence the roadkill patterns of wild mammals. A total of 6192.52 km of road were sampled in 53 field surveys conducted between 2013 and 2017. Landsat 8 satellite images and data from the MapBiomas platform were used to classify land use and cover for analysis. Buffers of 1 km, 5 km, and 10 km were created around the study roads to identify the landscape variables associated with roadkill events. Ripley's 2D K-Statistics and the 2D HotSpot test were used to identify roadkill aggregations and hotspots; GLMMs were generated for the landscape variables and evaluated using the Akaike Information Criterion. The Kruskal-Wallis test was applied to investigate the potential effects of seasonality. A total of 527 wild animal carcasses were recorded as a result of vehicular collision. The species with the highest roadkill records were Cerdocyon thous, Euphractus sexcinctus, and Procyon cancrivorus, while two species-Leopardus emiliae and Herpailurus yagouaroundi-are considered to be under threat of extinction. For mammals in general, the best GLMM indicated an increase in roadkills with increasing density of local vegetation areas, and a decrease as urban areas increased. The model also found that the mammals were less impacted in the vicinity of a protected area. In the specific case of C. thous, the roadkill rate was lower when urban infrastructure was more common than dense vegetation; the rate increased as areas of dense vegetation increased. In the case of P. cancrivorus and E. sexcinctus, the best models of roadkill patterns included an area of exposed soil and sparse vegetation, respectively. Roadkill rates were higher in the rainy season for all the mammals, with the exception of C. thous. These results reflect the ecological characteristics of the species with the highest roadkill rates. The findings of the present study raise concerns with regard to the impact of highways on the populations of C. thous, as well as the region's most threatened species. They also indicate the potential functionality of the local protected area, as well as identifying roadkill hotspots, which will support the development of effective mitigation measures.
英文关键词	road ecology roadkill rates seasonality Caatinga Brazil
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:001017049500001
WOS关键词	LARGE-SIZED MAMMALS ; GRANDE-DO-NORTE ; SPATIAL-PATTERNS ; HABITAT USE ; MORTALITY ; AREA ; CAATINGA ; FOREST ; SOUTH ; KILL
WOS类目	Biodiversity Conservation ; Ecology
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395861
推荐引用方式 GB/T 7714	Santos, Raul,Shimabukuro, Ayko,Taili, Itainara,et al. Mammalian Roadkill in a Semi-Arid Region of Brazil: Species, Landscape Patterns, Seasonality, and Hotspots[J],2023,15(6).
APA	Santos, Raul.,Shimabukuro, Ayko.,Taili, Itainara.,Muriel, Roberto.,Lupinetti-Cunha, Artur.,...&Calabuig, Cecilia.(2023).Mammalian Roadkill in a Semi-Arid Region of Brazil: Species, Landscape Patterns, Seasonality, and Hotspots.DIVERSITY-BASEL,15(6).
MLA	Santos, Raul,et al."Mammalian Roadkill in a Semi-Arid Region of Brazil: Species, Landscape Patterns, Seasonality, and Hotspots".DIVERSITY-BASEL 15.6(2023).