Grilo Clara, Coimbra Michely R, Cerqueira Rafaela C, Barbosa Priscilla, Dornas Rubem A P, Gonçalves Larissa O, Teixeira Fernanda Z, Coelho Igor Pfeifer, Schmidt Brenda R, Pacheco Diana L K, Schuck Gabriela, Esperando Isadora B, Anza Juan A, Beduschi Júlia, Oliveira Nicole R, Pinheiro Paula F, Bager Alex, Secco Helio, Guerreiro Marcello, Carvalho Carine F, Veloso Aline C, Custódio Ana E I, Marçal Oswaldo, Ciocheti Giordano, Assis Julia, Ribeiro Milton Cezar, Francisco Beatriz S S, Cherem Jorge J, Trigo Tatiane C, Jardim Márcia M A, Franceschi Ingridi C, Espinosa Caroline, Tirelli Flávia P, Rocha Vlamir J, Sekiama Margareth L, Barbosa Gedimar P, Rossi Helen R, Moreira Tainah C, Cervini Marcelo, Rosa Clarissa Alves, Silva Lucas Gonçalves, Ferreira Claudia M M, César Augusto, Casella Janaina, Mendes Sérgio L, Zina Juliana, Bastos Deivson F O, Souza Ricardo A T, Hartmann Paulo A, Deffaci Angela C G, Mulinari Jéssica, Luzzi Siane C, Rezzadori Tiago, Kolcenti Cassiane, Reis Tiago Xavier, Fonseca Vanessa S C, Giorgi Camilo F, Migliorini Raissa P, Kasper Carlos Benhur, Bueno Cecília, Sobanski Marcela, Pereira Ana P F G, Andrade Fernanda A G, Fernandes Marcus E B, Corrêa Luiz L C, Nepomuceno Adriana, Banhos Aureo, Hannibal Wellington, Fonseca Rogério, Costa Lizit A, Medici Emilia P, Croce Aline, Werther Karin, Oliveira Juliana P, Ribeiro Julia M, de Santi Mariele, Kawanami Aline E, Perles Livia, do Couto Caroline, Figueiró Daniela S, Eizirik Eduardo, Correia Antonio A, Corrêa Fabio M, Queirolo Diego, Quagliatto André L, Saranholi Bruno H, Galetti Pedro M, Rodriguez-Castro Karen G, Braz Vivian S, França Frederico G R, Buss Gerson, Rezini Josias A, Lion Marília B, Cheida Carolina C, Lacerda Ana C R, Freitas Carlos Henrique, Venâncio Fernando, Adania Cristina H, Batisteli Augusto F, Hegel Carla G Z, Mantovani José A, Rodrigues Flávio H G, Bagatini Tathiana, Curi Nelson H A, Emmert Luciano, Erdmann Renato H, Costa Raoni R G F, Martinelli Agustín, Santos Clarice V F, Kindel Andreas
Setor de Ecologia Aplicada, Universidade Federal de Lavras, Lavras, MG, 37200-000, Brazil.
PPG Análise e Modelagem de Sistemas Ambientais, Departamento de Cartografia, Instituto de Geociências, Universidade Federal de Minas Gerais, 31270-901, Brazil.
Ecology. 2018 Nov;99(11):2625. doi: 10.1002/ecy.2464. Epub 2018 Sep 19.
Mortality from collision with vehicles is the most visible impact of road traffic on wildlife. Mortality due to roads (hereafter road-kill) can affect the dynamic of populations of many species and can, therefore, increase the risk of local decline or extinction. This is especially true in Brazil, where plans for road network upgrading and expansion overlaps biodiversity hotspot areas, which are of high importance for global conservation. Researchers, conservationists and road planners face the challenge to define a national strategy for road mitigation and wildlife conservation. The main goal of this dataset is a compilation of geo-referenced road-kill data from published and unpublished road surveys. This is the first Data Paper in the BRAZIL series (see ATLANTIC, NEOTROPICAL, and BRAZIL collections of Data Papers published in Ecology), which aims make public road-kill data for species in the Brazilian Regions. The dataset encompasses road-kill records from 45 personal communications and 26 studies published in peer-reviewed journals, theses and reports. The road-kill dataset comprises 21,512 records, 83% of which are identified to the species level (n = 450 species). The dataset includes records of 31 amphibian species, 90 reptile species, 229 bird species, and 99 mammal species. One species is classified as Endangered, eight as Vulnerable and twelve as Near Threatened. The species with the highest number of records are: Didelphis albiventris (n = 1,549), Volatinia jacarina (n = 1,238), Cerdocyon thous (n = 1,135), Helicops infrataeniatus (n = 802), and Rhinella icterica (n = 692). Most of the records came from southern Brazil. However, observations of the road-kill incidence for non-Least Concern species are more spread across the country. This dataset can be used to identify which taxa seems to be vulnerable to traffic, analyze temporal and spatial patterns of road-kill at local, regional and national scales and also used to understand the effects of road-kill on population persistence. It may also contribute to studies that aims to understand the influence of landscape and environmental influences on road-kills, improve our knowledge on road-related strategies on biodiversity conservation and be used as complementary information on large-scale and macroecological studies. No copyright or proprietary restrictions are associated with the use of this data set other than citation of this Data Paper.
与车辆碰撞导致的死亡是道路交通对野生动物最明显的影响。道路造成的死亡(以下简称路杀)会影响许多物种的种群动态,因此会增加局部数量下降或灭绝的风险。在巴西尤其如此,那里的道路网络升级和扩建计划与生物多样性热点地区重叠,这些地区对全球生物保护至关重要。研究人员、保护主义者和道路规划者面临着制定国家道路缓解和野生动物保护战略的挑战。该数据集的主要目标是汇编来自已发表和未发表的道路调查的地理参考路杀数据。这是巴西系列中的第一篇数据论文(见发表在《生态学》上的大西洋、新热带和巴西数据论文集),旨在公开巴西各地区物种的路杀数据。该数据集包括来自45份个人交流以及发表在同行评审期刊、论文和报告中的26项研究的路杀记录。路杀数据集包含21512条记录,其中83%已鉴定到物种水平(n = 450种)。该数据集包括31种两栖动物、90种爬行动物、229种鸟类和99种哺乳动物的记录。一种物种被列为濒危物种,八种为易危物种,十二种为近危物种。记录数量最多的物种是:白腹袋鼬(n = 1549)、黑喉红臀鹎(n = 1238)、食蟹狐(n = 1135)、细纹斜鳞蛇(n = 802)和黄蹼蟾蜍(n = 692)。大多数记录来自巴西南部。然而,非受关注物种的路杀发生率观察结果在全国分布更广。该数据集可用于确定哪些分类群似乎易受交通影响,分析地方、区域和国家尺度上路杀的时间和空间模式,还可用于了解路杀对种群持久性的影响。它也可能有助于旨在了解景观和环境影响对路杀的影响的研究,增进我们对生物多样性保护中与道路相关战略的认识,并用作大规模和宏观生态研究的补充信息。除了引用本数据论文外,使用该数据集不存在版权或专有限制。