2020
DOI: 10.1038/s41598-020-75810-2
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Integrating large mammal behaviour and traffic flow to determine traversability of roads with heterogeneous traffic on a Central Indian Highway

Abstract: Roads impact wildlife in multiple ways, most conspicuous amongst which are animal-vehicle collisions (AVCs). Mitigation measures to reduce AVCs at the local scale are often centred on species-specific crossing zones and collision hotspots. However, at the road network scale, consideration of interactions among road, species and traffic characteristics influencing AVC occurrence is required to design effective mitigation strategies. We modelled traversability—the probability of an animal successfully crossing a… Show more

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Cited by 9 publications
(5 citation statements)
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“…Temporal activity rhythms of species could have a strong influence on the probability of AVC. The majority of mammalian species are crepuscular or nocturnal and are at higher risk of vehicle collision especially from dusk till midnight, and at dawn 34 , 35 . The most common conflictual wild animals in our study area are wild boar, roe deer and medium sized carnivores such as red fox 36 .…”
Section: Discussionmentioning
confidence: 99%
“…Temporal activity rhythms of species could have a strong influence on the probability of AVC. The majority of mammalian species are crepuscular or nocturnal and are at higher risk of vehicle collision especially from dusk till midnight, and at dawn 34 , 35 . The most common conflictual wild animals in our study area are wild boar, roe deer and medium sized carnivores such as red fox 36 .…”
Section: Discussionmentioning
confidence: 99%
“…The road network data was obtained using Open Street Maps (Openstreetmap, 2015). We used primary and secondary roads for our assessment because of their significant impact on the movement of animals owing to higher traffic volumes (Saxena et al, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…Intensified anthropogenic activities have also followed human population growth, leading to significant increases in cropland, pasture, and rangeland since the 1950s in China -the human population size increased from 540 million in 1949 to 1.4 billion in 2020 (Jo Huth, 1990) in which, cropland increased by 2549.2×10 4 hm 2 from 1949 to 2003, increasing 47.2×10 4 hm 2 /year (Bi and Zheng, 2000;Feng et al, 2005). Pastures and croplands have separated suitable distributions and migration paths, which have blocked genetic exchanges and caused population reduction and extinction (Forman and Alexander, 1998;Saxena et al, 2020). Such a scenario applies explicitly to some macaque populations in Shanxi (Zhou, 2014).…”
Section: The Variables Selected For the Maxent Modelmentioning
confidence: 99%