MARC details
000 -LEADER |
fixed length control field |
02091nam a22002777a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ZW-GwMSU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230606143332.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
230606b |||||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
MSU |
Transcribing agency |
MSU |
Description conventions |
rda |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
BROWN, Casey L |
245 ## - TITLE STATEMENT |
Title |
Detection and classification of motor vehicle noise in a forested landscape |
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
New York |
Name of producer, publisher, distributor, manufacturer |
Springer |
Date of production, publication, distribution, manufacture, or copyright notice |
2013 |
336 ## - CONTENT TYPE |
Source |
rdacontent |
Content type term |
text |
Content type code |
txt |
337 ## - MEDIA TYPE |
Source |
rdamedia |
Media type term |
unmediated |
Media type code |
n |
338 ## - CARRIER TYPE |
Source |
rdacarrier |
Carrier type term |
volume |
Carrier type code |
nc |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Environmental Management |
Volume/sequential designation |
Volume , number , |
520 ## - SUMMARY, ETC. |
Summary, etc. |
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. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
anthropogenic |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
road |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
noise |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
REED, Sarah E |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
DIETZ, Matthew S |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
FRISTRUP, Kurt M |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
https://doi.org/10.1007/s00267-013-0123-8 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Journal Article |