Detection and Classification of Motor Vehicle Noise in a Forested Landscape
详细信息 查看全文
- 作者：Casey L. Brown (1)
Sarah E. Reed (2) (3)
Matthew S. Dietz (4)
Kurt M. Fristrup (5) - 关键词：Anthropogenic ; Road ; Noise ; Soundscape ecology
- 刊名：Environmental Management
- 出版年：2013
- 出版时间：November 2013
- 年：2013
- 卷：52
- 期：5
- 页码：1262-1270
- 全文大小：
- 作者单位：Casey L. Brown (1)
Sarah E. Reed (2) (3)
Matthew S. Dietz (4)
Kurt M. Fristrup (5)
1. Department of Biology and Wildlife, University of Alaska Fairbanks, Fairbanks, AK, USA
2. North America Program, Wildlife Conservation Society, Bozeman, MT, USA
3. Department of Fish, Wildlife & Conservation Biology, Colorado State University, Fort Collins, CO, USA
4. The Wilderness Society, 1615?M Street, NW, Washington, DC250 Montgomery St., Suite 210, San Francisco, CA, USA
5. Natural Sounds and Night Skies Division, U.S. National Park Service, Fort Collins, CO, USA - ISSN：1432-1009
文摘
Noise emanating from human activity has become a common addition to natural soundscapes and has the potential to harm wildlife and erode human enjoyment of nature. In particular, motor vehicles traveling along roads and trails produce high levels of both chronic and intermittent noise, eliciting varied responses from a wide range of animal species. Anthropogenic noise is especially conspicuous in natural areas where ambient background sound levels are low. In this article, we present an acoustic method to detect and analyze motor vehicle noise. Our approach uses inexpensive consumer products to record sound, sound analysis software to automatically detect sound events within continuous recordings and measure their acoustic properties, and statistical classification methods to categorize sound events. We describe an application of this approach to detect motor vehicle noise on paved, gravel, and natural-surface roads, and off-road vehicle trails in 36 sites distributed throughout a national forest in the Sierra Nevada, CA, USA. These low-cost, unobtrusive methods can be used by scientists and managers to detect anthropogenic noise events for many potential applications, including ecological research, transportation and recreation planning, and natural resource management.