2015
DOI: 10.1016/j.eiar.2015.07.003
|View full text |Cite
|
Sign up to set email alerts
|

No evidence of a threshold in traffic volume affecting road-kill mortality at a large spatio-temporal scale

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
28
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 36 publications
(29 citation statements)
references
References 26 publications
1
28
0
Order By: Relevance
“…It seems so, since roadkill is consistently in the top three most commonly recorded causes of death in hedgehogs (alongside illness and natural predation), which is consistent with the hypothesis that traffic mortality potentially exerts substantial pressure on population dynamics [ 18 , 40 ]. This pressure can be both quick and direct (decline in numbers by death of individual animals), as well as indirect with effects shifted in time (by effecting reproduction, migration rates, and genetic diversity) [ 18 , 45 , 46 , 47 , 48 , 49 ]. In this study, the mortality rate during the studied period (March–July) was reduced by over 50%.…”
Section: Discussionmentioning
confidence: 99%
“…It seems so, since roadkill is consistently in the top three most commonly recorded causes of death in hedgehogs (alongside illness and natural predation), which is consistent with the hypothesis that traffic mortality potentially exerts substantial pressure on population dynamics [ 18 , 40 ]. This pressure can be both quick and direct (decline in numbers by death of individual animals), as well as indirect with effects shifted in time (by effecting reproduction, migration rates, and genetic diversity) [ 18 , 45 , 46 , 47 , 48 , 49 ]. In this study, the mortality rate during the studied period (March–July) was reduced by over 50%.…”
Section: Discussionmentioning
confidence: 99%
“…Europe. All paved roads were treated as equivalent in the prediction of roadkill estimates; although roads vary in terms of traffic levels and characteristics, detailed information is not widely available, and there is no scientific consensus regarding how different types of roads and traffic intensity influence roadkill risk (see Bissonette and Kassar 2008;Grilo et al 2015;Sadleir and Linklater 2016). As such, specific predictions based on road characteristics…”
Section: Mapping Roadkill Incidence and Critical Areas For Conservationmentioning
confidence: 99%
“…The factors influencing the spatial pattern of predator roadkills have been largely studied in the past decades. These include animal abundance and distribution (Seiler, 2003;Grilo et al, 2009), species behavior (Gomes et al, 2009;Grilo et al, 2009), traffic levels and vehicle speed (Colino-Rabanal et al, 2011), landscape patterns (Carvalho and Mira, 2011;Colino-Rabanal et al, 2011;Grilo et al, 2015), and road and verge characteristics (e.g. Gomes et al, 2009;Barrientos and Bolonio, 2009;Santos et al, 2013).…”
Section: Introductionmentioning
confidence: 99%