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BRAZIL ROAD-KILL: a data set of wildlife terrestrial vertebrate road-kills.

Authors :
Grilo C
Coimbra MR
Cerqueira RC
Barbosa P
Dornas RAP
Gonçalves LO
Teixeira FZ
Coelho IP
Schmidt BR
Pacheco DLK
Schuck G
Esperando IB
Anza JA
Beduschi J
Oliveira NR
Pinheiro PF
Bager A
Secco H
Guerreiro M
Carvalho CF
Veloso AC
Custódio AEI
Marçal O Jr
Ciocheti G
Assis J
Ribeiro MC
Francisco BSS
Cherem JJ
Trigo TC
Jardim MMA
Franceschi IC
Espinosa C
Tirelli FP
Rocha VJ
Sekiama ML
Barbosa GP
Rossi HR
Moreira TC
Cervini M
Rosa CA
Silva LG
Ferreira CMM
César A
Casella J
Mendes SL
Zina J
Bastos DFO
Souza RAT
Hartmann PA
Deffaci ACG
Mulinari J
Luzzi SC
Rezzadori T
Kolcenti C
Reis TX
Fonseca VSC
Giorgi CF
Migliorini RP
Kasper CB
Bueno C
Sobanski M
Pereira APFG
Andrade FAG
Fernandes MEB
Corrêa LLC
Nepomuceno A
Banhos A
Hannibal W
Fonseca R
Costa LA
Medici EP
Croce A
Werther K
Oliveira JP
Ribeiro JM
de Santi M
Kawanami AE
Perles L
do Couto C
Figueiró DS
Eizirik E
Correia AA Jr
Corrêa FM
Queirolo D
Quagliatto AL
Saranholi BH
Galetti PM Jr
Rodriguez-Castro KG
Braz VS
França FGR
Buss G
Rezini JA
Lion MB
Cheida CC
Lacerda ACR
Freitas CH
Venâncio F
Adania CH
Batisteli AF
Hegel CGZ
Mantovani JA
Rodrigues FHG
Bagatini T
Curi NHA
Emmert L
Erdmann RH
Costa RRGF
Martinelli A
Santos CVF
Kindel A
Source :
Ecology [Ecology] 2018 Nov; Vol. 99 (11), pp. 2625. Date of Electronic Publication: 2018 Sep 19.
Publication Year :
2018

Abstract

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 The main goal of this dataset is a compilation of geo-referenced road-kill data from published and unpublished road surveys.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.<br /> (© 2018 The Authors. Ecology © 2018 The Ecological Society of America.)

Details

Language :
English
ISSN :
0012-9658
Volume :
99
Issue :
11
Database :
MEDLINE
Journal :
Ecology
Publication Type :
Academic Journal
Accession number :
30229895
Full Text :
https://doi.org/10.1002/ecy.2464