The Problem of Low Agreement among Automated Identification Programs for Acoustical Surveys of Bats

Cliff Lemen, Patricia W. Freeman, Jeremy A. White, Brett R. Andersen

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

We compared 4 programs designed to identify species of bats from their echolocation calls (Bat Call ID, EchoClass, Kaleidoscope Pro, and SonoBat) using field data collected in Nebraska, USA (29,782 files). Although we did not know the true identity of these bats, we could still compare the pairwise agreement between software packages when identifying the same call sequences. If accuracy is high in these software packages, there should be high agreement in identification. Agreement in identification by species averaged approximately 40% and varied by software package, species, and data set. Our results are not consistent with the high accuracy often claimed by some software packages and may be a warning about the importance of understanding accuracy of acoustical identification in designing ecological experiments and interpreting results.

Original languageEnglish (US)
Pages (from-to)218-225
Number of pages8
JournalWestern North American Naturalist
Volume75
Issue number2
DOIs
Publication statusPublished - Aug 1 2015

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ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology

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