Experimentally derived detection distances from audio recordings and human observers enable integrated analysis of point count data.

Point counts are one of the most commonly used methods for assessing bird abundance. Autonomous recording units (ARUs) are increasingly being used as a replacement for human-based point counts. Previous studies have compared the relative benefits of human versus ARU-based point count methods, primarily with the goal of understanding differences in species richness and the abundance of individuals over an unlimited distance.

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Short Name of Publication http://www.ace-eco.org/vol12/iss1/art11/
Deliverable Type Science Article
Program Catagory Terrestrial Biological
Program Type OSM
Author Daniel A. Yip, Lionel Leston, Erin M. Bayne, Péter Sólymos, and Alison Grover.
Periodical Title Avian Conservation and Ecology
Year of Publication 2017
Publishing Organization Department of Biological Sciences, University of Alberta
Month of Publication
Periodical Volumes 12(1)
Page Range 11
Digital Object Identifier (DOI) 10.5751/ace-00997-120111
Online ISBN/ISSN 1712-6568
Print ISBN/ISSN 1712-6568
Recomended Citation Yip, D. A., Leston, L., Bayne, E. M., Sólymos, P., & Grover, A. (2017). Experimentally derived detection distances from audio recordings and human observers enable integrated analysis of point count data. Avian Conservation and Ecology, 12(1). doi:10.5751/ace-00997-120111
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