Contrasting Wolf Responses to Different Paved Roads and Traffic Volume Levels
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Contrasting Wolf Responses to Different Paved Roads and Traffic Volume LevelsDate
2021-07-13Citation
Dennehy, E., Llaneza, L. & López-Bao, J.V. Contrasting wolf responses to different paved roads and traffic volume levels. Biodivers Conserv 30, 3133–3150 (2021). https://doi.org/10.1007/s10531-021-02239-y
Abstract
[Abstract]: In some regions of the world, large carnivores, such as wolves, persist in landscapes with dense networks of paved roads. However, beyond the general impacts of roads on wildlife, we still lack information on carnivore responses to different types of roads and traffic volume levels. Using wolves in NW Spain as a case study, we show how wolves respond differently to paved road classes depending on road size, speed limit and traffic volume. All wolves evaluated (25 GPS collared wolves) crossed paved roads. Overall, during 3,915 sampling days, we recorded 29,859 wolf crossings. Wolf crossings of all paved road classes were recorded at a mean rate of 0.022 crossings/day/km (95% CI 0.016–0.027). Wolves crossed low speed and low traffic volume roads more frequently, and more often during the night, in order to lessen the chances of encountering traffic. We found mortality to be highest on roads with high speed and high traffic volume. How wolves interact with paved roads should be considered in landscape planning strategies in order to guarantee wolf long-term persistence in human-dominated landscapes. In our case, our results support an increasing focus on primary roads (class II) to identify segments of these roads where road mitigation efforts should be prioritised. Our study also highlights the importance of considering paved road classes when studying the impact of roads on wildlife.
Keywords
Canis lupus
Large carnivore conservation
Human-dominated landscapes
Wolf persistence
Movement
Paved roads
Large carnivore conservation
Human-dominated landscapes
Wolf persistence
Movement
Paved roads
Description
Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.
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© The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
ISSN
1572-9710