Do well-connected landscapes promote road-related mortality?

Grilo, Clara; Ascensão, Fernando; Santos‐Reis, Margarida; Bissonette, John A.

doi:10.1007/s10344-010-0478-6

Cited by 64 publications

(49 citation statements)

References 62 publications

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“…Langen, Ogden and Schwarting (2009) found wetland configuration to be a strong predictor of herptile road mortality. Similarly, studies of wildlife ranging from stone marten (Martes foina; Grilo et al 2011) to squirrel gliders (Petaurus norfolcensis; van der Ree et al 2010) have also found a positive relationship between landscape connectivity and road crossing by animals. We found that herptiles were moving through areas that we predicted to have relatively high functional connectivity.…”

Section: Discussionmentioning

confidence: 99%

Landscape connectivity for wildlife: development and validation of multispecies linkage maps

et al. 2014

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Summary1. The ability to identify regions of high functional connectivity for multiple wildlife species is of conservation interest with respect to habitat management and corridor planning. We present a method that does not require independent, field-collected data, is insensitive to the placement of source and destination sites (nodes) for modeling connectivity, and does not require the selection of a focal species. 2. In the first step of our approach, we created a cost surface that represented permeability of the landscape to movement for a suite of species. We randomly selected nodes around the perimeter of the buffered study area and used circuit theory to connect pairs of nodes. When the buffer was removed, the resulting current density map represented, for each grid cell, the probability of use by moving animals. 3. We found that using nodes that were randomly located around the perimeter of the buffered study area was less biased by node placement than randomly selecting nodes within the study area. We also found that a buffer of ≥ 20% of the study area width was sufficient to remove the effects of node placement on current density. We tested our method by creating a map of connectivity in the Algonquin to Adirondack region in eastern North America, and we validated the map with independently collected data. We found that amphibians and reptiles were more likely to cross roads in areas of high current density, and fishers (Pekania [Martes] pennanti) used areas with high current density within their home ranges. 4. Our approach provides an efficient and cost effective method of predicting areas with relatively high landscape connectivity for multiple species..

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Section: Discussionmentioning

confidence: 99%

Landscape connectivity for wildlife: development and validation of multispecies linkage maps

et al. 2014

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“…Finally, the development and use of models continues to gain popularity with a further nine studies presenting models that could be used to estimate road-related mortality [134,135] and identify potential mortality hotspots based on surrounding habitat and landscape features [40,[136][137][138][139]. For example, one model was constructed specifically to identify ideal locations for crossing structures for the endangered Florida panther (Puma concolor coryi) using GPS collar data and wildlife-vehicle collision reports [140].…”

Section: Survey Design and Mitigationmentioning

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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“…For example, Grilo et al (2011) examined the link between landscape connectivity and WVC and showed, through cost surface analysis, that stone marten (Martes foina) roadkills were most likely to occur in wellconnected areas. In the same perspective, Roger et al (2012) used a species distribution model to explain the road mortality pattern of the common wombat (Vombatus ursinus) within protected areas acting as sources over large scales.…”

Section: Introductionmentioning

confidence: 99%

“…Although broad-scale factors relating to landscape configuration and functional connectivity have been mentioned as determinant drivers of wildlife dispersion and possible factors influencing roadkills (Forman 2000;Coulon et al 2004;Grilo et al 2011), most WVC studies have been based on local landscape composition and road-related characteristics only.…”

Section: Introductionmentioning

confidence: 99%

Does regional landscape connectivity influence the location of roe deer roadkill hotspots?

Girardet

Conruyt-Rogeon²,

Foltête

2015

Eur J Wildl Res

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Do well-connected landscapes promote road-related mortality?

Cited by 64 publications

References 62 publications

Landscape connectivity for wildlife: development and validation of multispecies linkage maps

Landscape connectivity for wildlife: development and validation of multispecies linkage maps

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

Does regional landscape connectivity influence the location of roe deer roadkill hotspots?

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