Are Roadkill Hotspots in the Cerrado Equal Among Groups of Vertebrates?

Miranda, Jefferson Eduardo Silveira; Melo, Fabiano Rodrigues de; Umetsu, Ricardo Keichi

doi:10.1007/s00267-020-01263-y

Cited by 16 publications

(2 citation statements)

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“…Moreover, many studies separately analyzed and discussed the spatial distribution and the temporal trend so far [ 1 , 27 ]. Previous studies have analyzed roadkill distributions to determine spatial hotspots, but these studies have not considered changes over time [ 28 ]. Therefore, in this study, we employed STCs that aggregate spatiotemporal information for the same data set to simultaneously and comprehensively analyze spatiotemporal information.…”

Section: Discussionmentioning

confidence: 99%

Identification of Emerging Roadkill Hotspots on Korean Expressways Using Space–Time Cubes

Kim

Lee

2023

IJERPH

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Collisions with wild animals on high-speed expressways not only lead to roadkill but can also cause accidents that incur considerable human and economic costs. Based on roadkill data from 2004–2019 for four common wildlife species involved in collisions with vehicles on expressways in Korea (water deer, common raccoon dog, Korean hare, and wild boar), the present study conducted optimized hotspot analysis and identified spatiotemporal patterns using a space–time cube (STC) approach. Temporal and spatial differences in the roadkill data were observed between species. Water deer were the most common roadkill species of the four studied, with hotspots in the southern region of the capital area, in the Chungnam region, and in the western Chungbuk and Gangwon-do regions. However, the instances of water deer roadkill over time differed between each region. In addition, it was found that the number of cases of wild boar roadkill has increased recently. In particular, a number of new hotspot areas were observed centered on the metropolitan area Gyeonggi-do, which contains a high population and significant infrastructure. Overall, the emerging hotspot analysis based on STCs was able to determine cold spot and hotspot trends over time, allowing for a more intuitive understanding of spatiotemporal clustering patterns and associated changes than cumulative density-oriented hotspot analysis. As a result, it becomes easier to analyze the causes of roadkill and to establish reduction measures according to priority.

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Section: Discussionmentioning

confidence: 99%

Identification of Emerging Roadkill Hotspots on Korean Expressways Using Space–Time Cubes

Kim

Lee

2023

IJERPH

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“…For decades, empirical studies have been accumulating, reporting on collision hot-spots (Teixeira et al ., 2013; Silveira Miranda et al ., 2020), animal foraging habits near roadsides (Carvalho-Roel et al ., 2019), or the seasonal variation in the number of reported cases (Medinas et al ., 2021). We now have a clearer picture of what factors mainly account for collision risks (Table 1).…”

Section: Introductionmentioning

confidence: 99%

A biologically realistic model to predict wildlife-vehicle collision risks

Bénard

Lengagne

Bonenfant

2023

Preprint

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Road networks have major ecological impacts on living organisms consequent to habitat loss and fragmentation, chemical and acoustic pollution, and direct mortality when wildlife-vehicle collisions are involved (WVC). The many past empirical studies revealed biological traits shared by species most vulnerable to roadkills (e.g. population density). Similarly, spatial locations of WVC hot-spots are associated to landscape features at large spatial scales, and to road characteristics at small spatial scale. We currently lack a comprehensive theoretical framework for WVC. Animal movement in relation to habitats is an essential driver of encounters with roads, but this remains largely ignored in studies, even when movement ecology provides the necessary tools to investigate the impact of animal movement on WVC. We built a general individual-based model incorporating recent knowledge in movement ecology (movement typology: roaming, migratory route crossing a road, active attraction and active repulsion of roads) to estimate WVC risks. We explored the relative effects of animal and vehicle movement parameters (speed,abundance, road sinuosity and animal movement pattern) on collision probability; We show that animal behaviour toward roads has major impacts on the number and risks of WVC, but also modulate the effects of other factors (animal traveling speed, species local abundance, road traffic volume) on WVC. Sensitivity analyses show that the movement and behaviour of the animal has more influence on WVC risks than any of the characteristics of roads and vehicles we tested. Our results suggest that (1) effective roadkill mitigation should be species-specific and could vary in efficiency depending on the target's movement pattern (mating and migratory seasons, foraging habits. . . ) and (2) empirical studies of WVC should incorporate knowledge about the behavioural habits of the focal species in relation to roads.

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