Reassessing the success of experts and nonexperts at correctly differentiating between closely related species from camera trap images: A reply to Gooliaff and Hodges
Reassessing the success of experts and nonexperts at correctly differentiating between closely related species from camera trap images: A reply to Gooliaff and Hodges
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重新评估专家和非专家在从相机陷阱图像中正确区分密切相关物种方面的成功：对古利夫和霍奇斯的答复
作者：
Daniel H. Thornton;Travis W. King;Arthur E. Scully;D. Murray
我们对《生态学与进化》最近发表的一篇文章（Gooliaff 和 Hodges 撰写的《测量专家对相似物种的相机图像进行分类的一致性》）进行了回复，该文章证明基于专家的相似物种图像分类缺乏一致性。我们不同意这项研究的几个结论，并表明，通过一些训练，以及使用多个图像（这已成为相机捕捉研究中的标准做法），即使是非专家也可以高度一致性地识别相似的同域物种。
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.