How did the owl cross the road? Movement patterns and behaviour of a threatened apex predator

The road network is crucial in facilitating the transportation needs of society; however, its establishment and expansion comes at a significant cost to biodiversity, particularly through habitat loss, fragmentation, movement barriers, vehicle strike and disturbance. Apex predators are highly susceptible to the negative impacts of roads given that they are highly mobile, have large home-ranges and must connect fragmented habitat to obtain resources for survival, where traversing roads is often unavoidable. Here, we utilised GPS tracking data collected from 37 powerful owls ( Ninox strenua ) occurring throughout an urban-agricultural-forest gradient in Victoria, Australia, to understand how the movement ecology of this threatened apex predator responds to roads. We found that powerful owls from all landscape types are interacting with the road network, however, they are significantly adjusting their movement behaviour in response to roads. Despite urban and urban-forest owls residing in landscapes containing high road densities, all owl landscape types had similar low road densities in their core-ranges, suggesting road avoidance behaviours in critical habitat areas. Powerful owls switched into and stayed, in a faster more directional movement state when interacting with the road network and tended to cross roads more frequently towards the end of the night (>5 am). Owls preferred to cross roads near watercourses and in areas containing high amounts of dense tree cover. To prevent movement constraints and other road-related effects, it is critical that apex predators are considered in road management projects to strengthen effective impact mitigation and conservation management outcomes. • Powerful owls alter their movement patterns when crossing roads. • Core-ranges contain low road densities throughout the landscape gradient. • Owls move across roads faster and more frequently towards the end of the night. • Dense tree cover and watercourses are critical in supporting owls crossing roads. • Road projects must consider apex predators for effective conservation outcomes. The road network is a pervasive element of landscapes and are intensifying globally in response to human population expansion and significantly impacting biodiversity. This paper uses extensive GPS movement data of a threatened apex predator to determine how predators change their movement and behaviour in response to the road network. We address critical questions regarding how an apex predator responds to the road network and how this information can be used to better inform predator friendly road development.

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Publication Details

Journal
Biological Conservation
Published
2025-04-16
DOI
https://doi.org/10.1016/j.biocon.2025.111157
Citations
3
Primary Topic
Wildlife-Road Interactions and Conservation
Type
article
Field-Weighted Citation Impact
5.15
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article

How did the owl cross the road? Movement patterns and behaviour of a threatened apex predator

Nick Bradsworth, Raylene Cooke, Nicholas Carter, John White et al.
3 citations
Biological Conservation
Wildlife-Road Interactions and Conservation
5.15
article

How did the owl cross the road? Movement patterns and behaviour of a threatened apex predator

Nick Bradsworth, Raylene Cooke, Nicholas Carter, John White, William Bridgeman
article en
3 citations

Abstract

The road network is crucial in facilitating the transportation needs of society; however, its establishment and expansion comes at a significant cost to biodiversity, particularly through habitat loss, fragmentation, movement barriers, vehicle strike and disturbance. Apex predators are highly susceptible to the negative impacts of roads given that they are highly mobile, have large home-ranges and must connect fragmented habitat to obtain resources for survival, where traversing roads is often unavoidable. Here, we utilised GPS tracking data collected from 37 powerful owls ( Ninox strenua ) occurring throughout an urban-agricultural-forest gradient in Victoria, Australia, to understand how the movement ecology of this threatened apex predator responds to roads. We found that powerful owls from all landscape types are interacting with the road network, however, they are significantly adjusting their movement behaviour in response to roads. Despite urban and urban-forest owls residing in landscapes containing high road densities, all owl landscape types had similar low road densities in their core-ranges, suggesting road avoidance behaviours in critical habitat areas. Powerful owls switched into and stayed, in a faster more directional movement state when interacting with the road network and tended to cross roads more frequently towards the end of the night (>5 am). Owls preferred to cross roads near watercourses and in areas containing high amounts of dense tree cover. To prevent movement constraints and other road-related effects, it is critical that apex predators are considered in road management projects to strengthen effective impact mitigation and conservation management outcomes. • Powerful owls alter their movement patterns when crossing roads. • Core-ranges contain low road densities throughout the landscape gradient. • Owls move across roads faster and more frequently towards the end of the night. • Dense tree cover and watercourses are critical in supporting owls crossing roads. • Road projects must consider apex predators for effective conservation outcomes. The road network is a pervasive element of landscapes and are intensifying globally in response to human population expansion and significantly impacting biodiversity. This paper uses extensive GPS movement data of a threatened apex predator to determine how predators change their movement and behaviour in response to the road network. We address critical questions regarding how an apex predator responds to the road network and how this information can be used to better inform predator friendly road development.

Biological ConservationVol. 307
Deakin University (AU), Zoos Victoria (AU)
Openalex Percentile: Top 6%
Wildlife-Road Interactions and Conservation
5.15
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