Title: Optimum timeframes for detecting songbird vocalizations in the Black Hills
Author: Mills, Todd R.; Rumble, Mark A.; Flake, Lester D.
Source: Res. Pap. RMRS-RP-21. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 6 p
Publication Series: Research Paper (RP)
Description: Birds are indicators of vegetation structure and ecological conditions. The singing activity of birds declines during late-morning periods, which can affect estimates of abundance and conclusions regarding vegetative conditions indexed by birds. Therefore, it is important to quantify periods of bird activity so biologists can plan studies. We determined hourly detections from singing males of 22 n ongame bird species in ponderosa pine, quaking aspen, and grassland vegetation types in the Black Hills of South Dakota. Detections of 12 of 22 species differed among 1 -hr intervals after sunrise. Detections of yellowrumped warblers, Townsend’s solitaires, red-breasted nuthatches, western tanagers, and American robins decreased on count-episodes more than 4 hrs after sunrise. Detections of dusky flycatchers declined on count-episodes more than 3 hrs after sunrise and detections of black-capped chickadees were greatest during the first hour after sunrise and declined afterward. Detections of many other species from songs or calls decreased on count-episodes more than 5 hrs after sunrise. We recommend that bird counts in the Black Hills be completed within 4 hrs after sunrise so estimates of bird abundance are not affected by reduced singing among males.
Keywords: forest birds, detection, hourly variation, methods
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
- You may send email to email@example.com to request a hard copy of this publication. (Please specify exactly which publication you are requesting and your mailing address.)
XML: View XML
Mills, Todd R.; Rumble, Mark A.; Flake, Lester D. 2000. Optimum timeframes for detecting songbird vocalizations in the Black Hills. Res. Pap. RMRS-RP-21. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 6 p
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility