Using automated sound recording and analysis to detect bird species‐at‐risk in southwestern Ontario woodlands. (24th March 2014)

• Record Type: Journal Article
• Authors: Holmes, Stephen B.; McIlwrick, Kenneth A.; Venier, Lisa A.
• Is Part Of: Wildlife Society bulletin. Volume 38:Number 3(2014:Sep.)
• Page Start: 591
• Page End: 598
• Publication Date: 2014-03-24
• Subjects: Wildlife management -- Periodicals; Wildlife conservation -- Periodicals; 333.9540973
• DOI: 10.1002/wsb.421
• Languages: English
• ISSNs: 0091-7648

Abstract

<abstract abstract-type="main" xml:lang="en"> <title>ABSTRACT</title> <sec id="wsb421-sec-0001" sec-type="section"> <p>We conducted a field study to compare the effectiveness of acoustic recordings coupled with automated sound recognition versus traditional point counts in terms of their relative abilities to detect 3 bird species‐at‐risk in southwestern Ontario, Canada. The comparison was made in 50 woodlots, each of which contained a standard Forest Bird Monitoring Program plot of 5 point‐count stations. An automated recording device was present at one of the point‐count stations. We found that the automated recording and analysis system worked at least as well as the more traditional point‐count method in identifying woodlots containing acadian flycatcher (<italic>Empidonax virescens</italic>) and cerulean warbler (<italic>Setophaga cerulea</italic>), but that both methods combined performed better than either method alone. The automated system also required considerably less effort in the field (a difference of 140 min/woodlot) with very little additional effort identifying vocalizations in the lab (approx. 22.5 min/woodlot, for all 3 species combined). The automated system was not as effective in detecting prothonotary warbler (<italic>Protonotaria citrea</italic>), possibly because the species is much less common in southern Ontario than the other 2 species. © 2014 The Wildlife Society.</p> </sec> </abstract>