Drones as a potential hazing tool to prevent wolf depredations on livestock

With wolf recolonization and reintroduction into parts of their historic range in the United States, wolves killing livestock (depredation) has become an ever-growing concern for livestock producers. This is compounded in areas where wolves remain protected under the Endangered Species Act, like southwestern Oregon, which limits management actions to non-lethal techniques only. Located in the Klamath Basin area in southwestern Oregon, wolves in this area have been chronic depredators since 2016. After years of wolves habituating to other non-lethal methods, USDA APHIS Wildlife Services personnel used small, unmanned aircraft systems (drones) in 2022 as a new addition to their ‘night watch’ efforts. These drones were used to both detect wolves in and around livestock and to haze wolves away from livestock. Livestock depredations went from 11 cattle killed in 20 days (0.55 depredations/night) down to two over 85 days (0.024 depredations/night) post drone introduction. Further experimentation is required to evaluate the hazing effectiveness, cost, applicability to other areas, habituation time, and long-term benefits, but initial results are promising. • Drones were used in Oregon in 2022 as a non-lethal hazing tool for wolves. • 11 cattle were killed in 20 days (0.55 /night) before drones were deployed. • 2 cattle were killed in 85 days (0.024 /night) after drones were deployed. • Further research is need to understand applicability and habituation.

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Publication Details

Journal
Global Ecology and Conservation
Published
2024-11-29
DOI
https://doi.org/10.1016/j.gecco.2024.e03333
Citations
1
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
0.46
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article

Drones as a potential hazing tool to prevent wolf depredations on livestock

Dustin H. Ranglack, Loredana M. McCurdy, Paul C. Wolf, Luke P. Miller
1 citations
Global Ecology and Conservation
Wildlife Ecology and Conservation
0.46
article

Drones as a potential hazing tool to prevent wolf depredations on livestock

Dustin H. Ranglack, Loredana M. McCurdy, Paul C. Wolf, Luke P. Miller
article en
1 citations

Abstract

With wolf recolonization and reintroduction into parts of their historic range in the United States, wolves killing livestock (depredation) has become an ever-growing concern for livestock producers. This is compounded in areas where wolves remain protected under the Endangered Species Act, like southwestern Oregon, which limits management actions to non-lethal techniques only. Located in the Klamath Basin area in southwestern Oregon, wolves in this area have been chronic depredators since 2016. After years of wolves habituating to other non-lethal methods, USDA APHIS Wildlife Services personnel used small, unmanned aircraft systems (drones) in 2022 as a new addition to their ‘night watch’ efforts. These drones were used to both detect wolves in and around livestock and to haze wolves away from livestock. Livestock depredations went from 11 cattle killed in 20 days (0.55 depredations/night) down to two over 85 days (0.024 depredations/night) post drone introduction. Further experimentation is required to evaluate the hazing effectiveness, cost, applicability to other areas, habituation time, and long-term benefits, but initial results are promising. • Drones were used in Oregon in 2022 as a non-lethal hazing tool for wolves. • 11 cattle were killed in 20 days (0.55 /night) before drones were deployed. • 2 cattle were killed in 85 days (0.024 /night) after drones were deployed. • Further research is need to understand applicability and habituation.

Global Ecology and ConservationVol. 56
Utah State University (US), Portland State University (US), United States Department of Commerce (US), Life Services (United States) (US)
Zero hunger
Openalex Percentile: Top 28%
Wildlife Ecology and Conservation
0.46
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Drones as a potential hazing tool to prevent wolf depredations on livestock — Dustin H. Ranglack, Loredana M. McCurdy, et al. · Global Ecology and Conservation (2024) | TGRS Research Map | TGRS