Using song playback experiments to measure species recognition between geographically isolated populations: A comparison with acoustic trait analyses Author(s): Benjamin G. Freeman and Graham A. Montgomery Source: The Auk, 134(4):857-870. Published By: American Ornithological Society https://doi.org/10.1642/AUK-17-63.1 URL: http://www.bioone.org/doi/full/10.1642/AUK-17-63.1 BioOne (www.bioone.org) is a nonprofit, online aggregation of core research in the biological, ecological, and environmental sciences. BioOne provides a sustainable online platform for over 170 journals and books published by nonprofit societies, associations, museums, institutions, and presses. Your use of this PDF, the BioOne Web site, and all posted and associated content indicates your acceptance of BioOne’s Terms of Use, available at www.bioone.org/page/terms_of_use. Usage of BioOne content is strictly limited to personal, educational, and non-commercial use. Commercial inquiries or rights and permissions requests should be directed to the individual publisher as copyright holder. BioOne sees sustainable scholarly publishing as an inherently collaborative enterprise connecting authors, nonprofit publishers, academic institutions, research libraries, and research funders in the common goal of maximizing access to critical research. Volume 134, 2017, pp. 857–870 DOI: 10.1642/AUK-17-63.1 RESEARCH ARTICLE Using song playback experiments to measure species recognition between geographically isolated populations: A comparison with acoustic trait analyses Benjamin G. Freeman1,2* and Graham A. Montgomery3 1 Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada 2 Department of Zoology, University of British Columbia, Vancouver, Canada 3 Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, New York, USA * Corresponding author:
[email protected] Submitted April 7, 2017; Accepted June 20, 2017; Published September 13, 2017 ABSTRACT Geographically isolated populations of birds often differ in song.