Large-scale evaluation of carnivore road mortality: the effect of landscape and local scale characteristics

Červinka, Jaroslav; Riegert, Jan; Grill, Stanislav; Šálek, Martin

doi:10.1007/s13364-015-0226-0

Cited by 43 publications

(32 citation statements)

References 51 publications

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“…For example, a study that explored variations in road mortality rates of 11 species of mammalian carnivore found that stone martens (Martes foina), European otters (Lutra lutra), and red foxes (Vulpes vulpes) were most frequently documented [18]. It was suggested that the higher number of roadkills among these species most likely reflected their life-history phenologies.…”

Section: Direct Impacts Of Roads On Wildlifementioning

confidence: 99%

Effects of Road Density and Pattern on the Conservation of Species and Biodiversity

Bennett

2017

Curr Landscape Ecol Rep

130

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The development and presence of roads can reduce landscape permeability, lead to habitat loss, and increase habitat fragmentation. It is these fundamental changes in landscape structure that can have both direct and indirect impacts on the conservation of species and biodiversity. In this review, I examine 215 research studies conducted between 2011 and 2015 that explore the impacts of roads and road networks on a wide range of species. I divided these studies into four main categories: 1) the direct effects of roads on wildlife, 2) the indirect effects of roads on wildlife, 3) the consequences of road networks on wildlife populations, and 4) survey design and mitigation including both innovations and evaluations. I found that the majority of studies (38%) explored the indirect effects of roads on wildlife, including displacement, fitness consequences, and road crossing ability of wildlife. Nevertheless, despite there being a pressing need to understand how existing road networks impact wildlife and how increasing road density may influence local and regional population persistence, only 10% of the studies considered the implications of road networks on wildlife. However, there is an increasing trend towards the development of predictive models that can be used for a better understanding of road network impacts, assess landscape connectivity, and devise mitigation. This review also highlighted the continued need to devise and evaluate mitigation measures so transportation authorities and conservation practitioners may be better equipped to address the ecological implications of roads and proposed road development.

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Section: Direct Impacts Of Roads On Wildlifementioning

confidence: 99%

Effects of Road Density and Pattern on the Conservation of Species and Biodiversity

Bennett

2017

Curr Landscape Ecol Rep

130

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“…Hence habitat characteristics, from landscape to the vicinity of the road, should influence wildlife–vehicle collisions at different spatial scales (de Bellefeuille & Poulin, ). Most previous studies investigating collision patterns did so either at a very large, state‐wise or continental scale (Brockie, Sadleir, & Linklater, ; Červinka, Riegert, Grill, & Šálek, ; Seiler, Helldin, & Seiler, ), or at a very fine scale (Grilo, Bissonette, & Santos‐Reis, ; Taylor & Goldingay, ). However, intermediate spatial scales are also relevant because in a patchy landscape collisions are more likely to happen on road sections located between woods and open fields because animals move frequently between protected resting areas and meadows or agricultural crops to forage (Bashore et al, ; Hubbard et al, ; Puglisi, Lindzey, & Bellis, ).…”

Section: Introductionmentioning

confidence: 99%

Comparison of environmental, biological and anthropogenic causes of wildlife–vehicle collisions among three large herbivore species

2020

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Wildlife-vehicle collisions are of increasing concern with regards to the continuous and accelerating anthropogenic development. Preventing and mitigating collisions with wildlife will require a better understanding of the environmental and biological drivers of collision risks. Because species of large mammals differ in terms of food requirements, habitat selection and movement behaviors we tested, at the management unit level, if the density of collisions with red deer, roe deer and wild boar differed in terms of spatial distribution and explanatory factors. From 20,275 documented collisions in France between years 1990 and 2006, we found marked differences in the most influential environmental factors accounting for the density of collisions among the three large herbivore species. The effect of road density was higher for the red deer than for the two other species and did not level off at our spatial-scale of observation. As expected, the annual hunting harvest-interpreted as a proxy of population abundance-was positively associated with the density of collisions for all species, being the strongest for red deer. While the collision density decreased with the proportion of forest in a management unit for wild boar, it increased with the fragmentation of forest for red deer that commute among forest patches between day and night. To reduce the number of wildlifevehicle collisions, our results suggest to generalize road fencing and/or a control of abundance of large herbivore populations. Mitigation measures should target units where the collision risk is the highest for the most problematic species.

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“…Moreover, considering the link between scales and the ecological process under investigation (Holland and Yang 2016;McGarigal et al 2016), PathSFs and SDMs results may have been converged given the scale-dependent relationship of roadkills with movement type and land-use patterns. Specifically, scales within species' home range are adequate to capture landscape characteristics that should be taken into account when applying mitigation measures (Gunson et al 2011;Červinka et al 2015), thereby representing a feasible "scale of management" (Allen and Singh 2016;Cosgrove et al 2018).…”

Section: Comparison Of Model Performancementioning

confidence: 99%

“…It is also commonly assumed in SDMs that opportunistically collected fine-scale occurrences (used to fit the models) represent mostly daily movement, as dispersal is an infrequent event in the lifetime of one animal (Cosgrove et al 2018). Although dispersal is rare, occurring usually once a year, high kill rates have been detected during this biological period (Červinka et al 2015;Carvalho et al 2018). Crossing roads is inherently risky and roads may impair daily movement routes through avoidance or barrier effects (Coffin 2007;Bissonette and Cramer 2008;Cosgrove et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Accounting for Connectivity Uncertainties in Predicting Roadkills: a Comparative Approach between Path Selection Functions and Habitat Suitability Models

Valerio

Carvalho

Barbosa

et al. 2019

Environmental Management

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Functional connectivity modeling is increasingly used to predict the best spatial location for over-or underpasses, to mitigate road barrier effects and wildlife roadkills. This tool requires estimation of resistance surfaces, ideally modeled with movement data, which are costly to obtain. An alternative is to use occurrence data within species distribution models to infer movement resistance, although this remains a controversial issue. This study aimed both to compare the performance of resistance surfaces derived from path versus occurrence data in identifying road-crossing locations of a forest carnivore and assess the influence of movement type (daily vs. dispersal) on this performance. Resistance surfaces were built for genet (Genetta genetta) in southern Portugal using path selection functions with telemetry data, and species distribution models with occurrence data. An independent roadkill dataset was used to evaluate the performance of each connectivity model in predicting roadkill locations. The results show that resistance surfaces derived from occurrence data are as suitable in predicting roadkills as path data for daily movements. When dispersal was simulated, the performance of both resistance surfaces was equally good at predicting roadkills. Moreover, contrary to our expectations, we found no significant differences in locations of roadkill predictions between models based on daily movements and models based on dispersal. Our results suggest that species distribution models are a cost-effective tool to build functional connectivity models for road mitigation plans when movement data are not available.

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Large-scale evaluation of carnivore road mortality: the effect of landscape and local scale characteristics

Cited by 43 publications

References 51 publications

Effects of Road Density and Pattern on the Conservation of Species and Biodiversity

Effects of Road Density and Pattern on the Conservation of Species and Biodiversity

Comparison of environmental, biological and anthropogenic causes of wildlife–vehicle collisions among three large herbivore species

Accounting for Connectivity Uncertainties in Predicting Roadkills: a Comparative Approach between Path Selection Functions and Habitat Suitability Models

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