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Wildlife–vehicle collision mitigation: Is partial fencing the answer? An agent-based model approach

Author

Listed:
  • Ascensão, Fernando
  • Clevenger, Anthony
  • Santos-Reis, Margarida
  • Urbano, Paulo
  • Jackson, Nathan

Abstract

Evaluating management options for mitigating the impacts of wildlife–vehicle collisions (WVC) is a major goal for road ecology. Fencing along roads in conjunction with the construction of wildlife road passages has been widely accepted as the most effective way to minimize WVC. However, limited resources often require wildlife managers to focus on a single method of mitigation, yet the relative effectiveness of fences and passages for reducing road mortality and restoring population connectivity is unclear. Using the stone marten (Martes foina, Erxleben, 1777) as a model species, we developed an individual-based, spatially explicit simulation model to develop predictions concerning the relative performance of fencing and passage construction under different rates of road mortality. For five levels each, we varied probability of road mortality, fencing extent, and number of passages in a full factorial design, for a total of 125 management scenarios. We then compared the relative impact of these two mitigation approaches on population abundance (N) and genetic differentiation (Fst) using linear regression. Our results predict that fences are much more effective than passages at mitigating the effects of road mortality on abundance. Moreover, we show that under most circumstances, fences are also more effective than passages at reducing genetic differentiation. This is likely driven by the ability of fencing to eliminate road mortality, which in turn increases genetic diversity, thereby slowing differentiation across the road. However, partial fencing can reduce road mortality nearly as well as full fencing. Moreover, partial fencing also allows adequate population connectivity across roads. Thus, we argue that partial fencing of roads alone may often be the best and most cost-effective management option for road mitigation.

Suggested Citation

  • Ascensão, Fernando & Clevenger, Anthony & Santos-Reis, Margarida & Urbano, Paulo & Jackson, Nathan, 2013. "Wildlife–vehicle collision mitigation: Is partial fencing the answer? An agent-based model approach," Ecological Modelling, Elsevier, vol. 257(C), pages 36-43.
  • Handle: RePEc:eee:ecomod:v:257:y:2013:i:c:p:36-43
    DOI: 10.1016/j.ecolmodel.2013.02.026
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    References listed on IDEAS

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    1. Railsback, Steven F. & Johnson, Matthew D., 2011. "Pattern-oriented modeling of bird foraging and pest control in coffee farms," Ecological Modelling, Elsevier, vol. 222(18), pages 3305-3319.
    2. Clara Grilo & Joana Sousa & Fernando Ascensão & Hugo Matos & Inês Leitão & Paula Pinheiro & Monica Costa & João Bernardo & Dyana Reto & Rui Lourenço & Margarida Santos-Reis & Eloy Revilla, 2012. "Individual Spatial Responses towards Roads: Implications for Mortality Risk," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-11, September.
    3. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
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    Cited by:

    1. Andrius Kučas & Linas Balčiauskas, 2021. "Impact of Road Fencing on Ungulate–Vehicle Collisions and Hotspot Patterns," Land, MDPI, vol. 10(4), pages 1-16, March.
    2. Andrius Kučas & Linas Balčiauskas, 2021. "Roadkill-Data-Based Identification and Ranking of Mammal Habitats," Land, MDPI, vol. 10(5), pages 1-35, May.
    3. Mamboleo, Abel Ansporthy & Doscher, Crile & Paterson, Adrian, 2021. "A computational modelling approach to human-elephant interactions in the Bunda District, Tanzania," Ecological Modelling, Elsevier, vol. 443(C).
    4. Ceia-Hasse, Ana & Navarro, Laetitia M. & Borda-de-Água, Luís & Pereira, Henrique M., 2018. "Population persistence in landscapes fragmented by roads: Disentangling isolation, mortality, and the effect of dispersal," Ecological Modelling, Elsevier, vol. 375(C), pages 45-53.
    5. Iñigo Zuberogoitia & Javier del Real & Juan José Torres & Luis Rodríguez & María Alonso & Jabi Zabala, 2014. "Ungulate Vehicle Collisions in a Peri-Urban Environment: Consequences of Transportation Infrastructures Planned Assuming the Absence of Ungulates," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-11, September.
    6. He, Haosen & Buchholtz, Erin & Chen, Frederick & Vogel, Susanne & Yu, Chu A.(Alex), 2022. "An agent-based model of elephant crop consumption walks using combinatorial optimization," Ecological Modelling, Elsevier, vol. 464(C).
    7. Andrius Kučas & Linas Balčiauskas & Carlo Lavalle, 2023. "Identification of Urban and Wildlife Terrestrial Corridor Intersections for Planning of Wildlife-Vehicle Collision Mitigation Measures," Land, MDPI, vol. 12(4), pages 1-18, March.

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