IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v492y2024ics0304380024000784.html
   My bibliography  Save this article

Integration of animal movement into wildlife-vehicle collision models

Author

Listed:
  • Bénard, Annaëlle
  • Lengagne, Thierry
  • Bonenfant, Christophe

Abstract

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 major variables accounting for WVC incidence (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 scales. Yet, we currently lack a comprehensive theoretical framework for WVC. Animal movement in relation to habitats is likely an essential driver of encounters with roads, but this remains largely ignored in most studies. Movement ecology now 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 behavior toward roads has major impacts on the number and risks of WVC, but also modulate the effects of other factors (animal speed, species local abundance, road traffic volume) on WVC. Sensitivity analyses show that the movement and behavior of the animal has more influence on WVC risks than any of the characteristics of roads and vehicles we tested. Our results suggest that empirical studies of WVC should incorporate knowledge about the behavioral habits of the focal species in relation to roads.

Suggested Citation

  • Bénard, Annaëlle & Lengagne, Thierry & Bonenfant, Christophe, 2024. "Integration of animal movement into wildlife-vehicle collision models," Ecological Modelling, Elsevier, vol. 492(C).
  • Handle: RePEc:eee:ecomod:v:492:y:2024:i:c:s0304380024000784
    DOI: 10.1016/j.ecolmodel.2024.110690
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380024000784
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2024.110690?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Arild Husby & Magne Husby, 2014. "Interspecific analysis of vehicle avoidance behavior in birds," Behavioral Ecology, International Society for Behavioral Ecology, vol. 25(3), pages 504-508.
    2. Thierry Duchesne & Daniel Fortin & Louis-Paul Rivest, 2015. "Equivalence between Step Selection Functions and Biased Correlated Random Walks for Statistical Inference on Animal Movement," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
    3. Dirk Eddelbuettel & James Joseph Balamuta, 2018. "Extending R with C++: A Brief Introduction to Rcpp," The American Statistician, Taylor & Francis Journals, vol. 72(1), pages 28-36, January.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nicosia, Aurélien & Duchesne, Thierry & Rivest, Louis-Paul & Fortin, Daniel, 2017. "A general hidden state random walk model for animal movement," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 76-95.
    2. 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.
    3. Christopher A Lepczyk & Jean E Fantle-Lepczyk & Kathleen Misajon & Darcy Hu & David C Duffy, 2019. "Long-term history of vehicle collisions on the endangered Nēnē (Branta sandvicensis)," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-11, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:492:y:2024:i:c:s0304380024000784. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.