Noise Data from Snowmobile Pass-bys: The Significance of Frequency Content

Menge, Christopher W.; Ross, Jason C.; Ernenwein, Richard L.

doi:10.4271/2002-01-2765

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Between mid-December and mid-March, the park's roads are only accessible via such "oversnow" vehicles such as snowmobiles and snowcoaches. Snowmobiles often generate more noise than car engines (Daily & Raap, 2002;Menge et al, 2002) and have been shown to instigate vigilance, travel, and occasional flight responses in Yellowstone's elk and bison, especially when animals were closer to roads (Borkowski et al, 2006). Noise associated with oversnow vehicles is an important management concern in the park and noise impacts have been routinely measured via acoustic monitoring (Burson, 2018).…”

Section: Yellowstone National Park Located In the Western Unitedmentioning

confidence: 99%

Snowmobile noise alters bird vocalization patterns during winter and pre-breeding season

Cretois,

Avery Bick,

Balantic

et al. 2023

Preprint

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Noise pollution poses a significant threat to ecosystems worldwide, disrupting animal communication and causing cascading effects on biodiversity. In this study, we focus on the impact of snowmobile noise on avian vocalizations during the non-breeding winter season, a less-studied area in soundscape ecology. We developed a pipeline relying on deep learning methods to detect snowmobile noise and applied it to a large acoustic monitoring dataset collected in Yellowstone National Park. Our results demonstrate the effectiveness of the snowmobile detection model in identifying snowmobile noise and reveal an association between snowmobile passage and changes in avian vocalization patterns. Snowmobile noise led to a decrease in the frequency of bird vocalizations during mornings and evenings, potentially affecting winter and pre-breeding behaviors such as foraging, predator avoidance and successfully finding a mate. However, we observed a recovery in avian vocalizations after detection of snowmobiles during mornings and afternoons, indicating some resilience to sporadic noise events. These findings emphasize the need to consider noise impacts in the non-breeding season and provide valuable insights for natural resource managers to minimize disturbance and protect critical avian habitats. The deep learning approach presented in this study offers an efficient and accurate means of analyzing large-scale acoustic monitoring data and contributes to a comprehensive understanding of the cumulative impacts of multiple stressors on avian communities.

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Section: Yellowstone National Park Located In the Western Unitedmentioning

confidence: 99%

Snowmobile noise alters bird vocalization patterns during winter and pre-breeding season

Cretois,

Avery Bick,

Balantic

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Between mid‐December and mid‐March, the park's roads are only accessible via such “oversnow” vehicles such as snowmobiles and snowcoaches. Snowmobiles often generate more noise than car engines (Daily & Raap, 2002; Menge et al., 2002) and have been shown to instigate vigilance, travel, and occasional flight responses in Yellowstone's elk and bison, especially when animals were closer to roads (Borkowski et al., 2006). Noise associated with oversnow vehicles is an important management concern in the park and noise impacts have been routinely measured via acoustic monitoring (Burson, 2018).…”

Section: Introductionmentioning

confidence: 99%

Snowmobile noise alters bird vocalization patterns during winter and pre‐breeding season

Cretois,

Bick,

Balantic

et al. 2023

Journal of Applied Ecology

View full text Add to dashboard Cite

Noise pollution poses a significant threat to ecosystems worldwide, disrupting animal communication and causing cascading effects on biodiversity. In this study, we focus on the impact of snowmobile noise on avian vocalizations during the non‐breeding winter season, a less‐studied area in soundscape ecology. We developed a pipeline relying on deep learning methods to detect snowmobile noise and applied it to a large acoustic monitoring dataset collected in Yellowstone National Park. Our results demonstrate the effectiveness of the snowmobile detection model in identifying snowmobile noise and reveal an association between snowmobile passage and changes in avian vocalization patterns. Snowmobile noise led to a decrease in the frequency of bird vocalizations during mornings and evenings, potentially affecting winter and pre‐breeding behaviours such as foraging, predator avoidance and successfully finding a mate. However, we observed a recovery in avian vocalizations after detection of snowmobiles during mornings and afternoons, indicating some resilience to sporadic noise events. Synthesis and applications: Our findings emphasize the need to consider noise impacts in the non‐breeding season and provide valuable insights for natural resource managers to minimize disturbance and protect critical avian habitats. The deep learning approach presented in this study offers an efficient and accurate means of analysing large‐scale acoustic monitoring data and contributes to a comprehensive understanding of the cumulative impacts of multiple stressors on avian communities.

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Acoustic Footprint of Snowmobile Noise and Natural Quiet Refugia in an Alaskan Wilderness

Mullet

Morton

Gage

et al. 2017

Natural Areas Journal

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Noise Data from Snowmobile Pass-bys: The Significance of Frequency Content

Cited by 4 publications

References 11 publications

Snowmobile noise alters bird vocalization patterns during winter and pre-breeding season

Snowmobile noise alters bird vocalization patterns during winter and pre-breeding season

Snowmobile noise alters bird vocalization patterns during winter and pre‐breeding season

Acoustic Footprint of Snowmobile Noise and Natural Quiet Refugia in an Alaskan Wilderness

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