Reassessing the success of experts and nonexperts at correctly differentiating between closely related species from camera trap images: A reply to Gooliaff and Hodges

We present a reply to a recent article in Ecology and Evolution (“Measuring agreement among experts in classifying camera images of similar species” by Gooliaff and Hodges) that demonstrated a lack of consistency in expert‐based classification of images of similar‐looking species. We disagree with s...

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Bibliographic Details
Published inEcology and evolution Vol. 9; no. 11; pp. 6172 - 6175
Main Authors Thornton, Daniel H., King, Travis W., Scully, Arthur, Murray, Dennis
Format Journal Article
LanguageEnglish
Published England John Wiley & Sons, Inc 01.06.2019
John Wiley and Sons Inc
Wiley
Subjects
Agreements
Blurring
Classification
Consultants
Experts
Identification
Image classification
Image quality
Quality standards
Species
Species classification
Studies
Sympatric populations
Trapping
Canada
United States > US
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Summary:We present a reply to a recent article in Ecology and Evolution (“Measuring agreement among experts in classifying camera images of similar species” by Gooliaff and Hodges) that demonstrated a lack of consistency in expert‐based classification of images of similar‐looking species. We disagree with several conclusions from the study, and show that with some training, and use of multiple images that is becoming standard practice in camera‐trapping studies, even nonexperts can identify similar sympatric species with high consistency.
Bibliography:https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.5256
Data Availability Statement
Linked article
Supporting information associated with this article (example photographic sets, NEO training manual, and raw results of the NEO species identification exercise) is provided on Dryad.
SourceType-Other Sources-1
content type line 63
ObjectType-Editorial-2
ObjectType-Commentary-1
Data Availability Statement: Supporting information associated with this article (example photographic sets, NEO training manual, and raw results of the NEO species identification exercise) is provided on Dryad.
Linked article: https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.5256
ISSN:2045-7758
2045-7758
DOI:10.1002/ece3.5255