Loss of winter wonderland: proximity to different road types has variable effects on winter soundscapes

Quinn, John E.; Schindler, Alexander R.; Blake, Lawson; Schaffer, Sophia Kline; Hyland, Emilia

doi:10.1007/s10980-021-01364-x

Cited by 8 publications

(3 citation statements)

References 43 publications

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“…Cluster #9 refers to the winter soundscape, focusing on subjects such as different road types, variable effects, study design rationale, and acoustic quality. Quinn et al analyzed sound recorded at 19 locations near roads using eight soundscape indices related to traffic and land cover [41]. Cluster #11 covers pollutant emissions, which mainly discusses subjects such as the de-France region, operating conditions, utilization pressures, and urban commons.…”

Section: Keyword Clustering Analysismentioning

confidence: 99%

Research Foundation and Hotspot Analysis of Urban Road Ecology—A Bibliometric Study Based on CiteSpace

Yang,

Liu

2024

Sustainability

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Urban road ecology focuses on the reciprocal interactions between urban road construction and the ecological environment, aiming to provide valuable insights into sustainable urban road construction. The study of road ecology has established a comprehensive research framework since the early 20th century, with urban road ecology emerging as its sub-discipline that emphasizes the strategic planning of urban roads and the internal dynamics within urban ecosystems. In order to demonstrate the broader research focus and development prospects of urban road ecology, as well as to explore its distinguishing features compared to traditional road ecology, this study conducted a bibliometric analysis of urban road ecology using CiteSpace software version 6.2.R7 based on the Web of Science (WOS) database for the literature in the last 30 years. The analysis reflected the current state of research in this field across three dimensions: collaborative analysis, co-citation analysis, and keyword analysis. The results of the study revealed a scarcity of key terms and publications between 1993 and 2010, followed by an exponential surge in research activities after 2010. However, both collaborative and keyword analyses indicate a lack of long-term, in-depth research in this area, highlighting the absence of a unified system. On this basis, this paper presents three expectations for future research and briefly discusses the limitations of this study.

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Section: Keyword Clustering Analysismentioning

confidence: 99%

Research Foundation and Hotspot Analysis of Urban Road Ecology—A Bibliometric Study Based on CiteSpace

Yang,

Liu

2024

Sustainability

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“…Most literature on noise impacts to birds specifically considers breeding season vocalizations (Oden et al., 2020; Shannon et al., 2016), while impacts of noise during the non‐breeding winter and pre‐breeding seasons remain understudied (though see Mullet et al., 2016; Quinn et al., 2022) despite the non‐breeding season comprising a substantial portion of avian life history (Faaborg et al., 2010). Birds engage in a myriad of critical behaviours during the non‐breeding season, such as foraging, establishing territories and forming social bonds, which could be perceptibly influenced by noise disturbances.…”

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

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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 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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“…In addition to species-specific detections, the ARUs allow for a diversity of different acoustic measures of an ecosystem that can reflect the broader ecological community as compared to a single species and have been shown to correlate with other measures of biodiversity (e.g., [16,17]). These measures, frequently defined as acoustic or soundscape indices, reflect the multiple dimensions of sound in an environment, including biophony, geophony, and anthrophony.…”

Section: Introductionmentioning

confidence: 99%

Passive Acoustic Sampling Enhances Traditional Herpetofauna Sampling Techniques in Urban Environments

Barnes,

Quinn

2023

Sensors

Self Cite

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Data are needed to assess the relationships between urbanization and biodiversity to establish conservation priorities. However, many of these relationships are difficult to fully assess using traditional research methods. To address this gap and evaluate new acoustic sensors and associated data, we conducted a multimethod analysis of biodiversity in a rapidly urbanizing county: Greenville, South Carolina, USA. We conducted audio recordings at 25 points along a development gradient. At the same locations, we used refugia tubes, visual assessments, and an online database. Analysis focused on species identification of both audio and visual data at each point along the trail to determine relationships between both herpetofauna and acoustic indices (as proxies for biodiversity) and environmental gradient of land use and land cover. Our analysis suggests the use of a multitude of different sampling methods to be conducive to the completion of a more comprehensive occupancy measure. Moving forward, this research protocol can potentially be useful in the establishment of more effective wildlife occupancy indices using acoustic sensors to move toward future conservation policies and efforts concerning urbanization, forest fragmentation, and biodiversity in natural, particularly forested, ecosystems.

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Loss of winter wonderland: proximity to different road types has variable effects on winter soundscapes

Cited by 8 publications

References 43 publications

Research Foundation and Hotspot Analysis of Urban Road Ecology—A Bibliometric Study Based on CiteSpace

Research Foundation and Hotspot Analysis of Urban Road Ecology—A Bibliometric Study Based on CiteSpace

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

Passive Acoustic Sampling Enhances Traditional Herpetofauna Sampling Techniques in Urban Environments

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