Linking camera-trap data to taxonomy: Identifying photographs of morphologically similar chipmunks.
Linking camera-trap data to taxonomy: Identifying photographs of morphologically similar chipmunks.
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DOI：
10.1002/ece3.7801
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发表时间：
2021-07
影响因子：
2.6
通讯作者：
Frey JK
中科院分区：
文献类型：
--
作者：
McKibben FE;Frey JK
远程相机是调查野生动物的常用方法，最近已被推广用于实施大规模区域生物多样性监测计划。相机陷阱数据的使用取决于照片中捕获的动物的正确识别，但错误识别率可能很高，特别是当形态相似的物种同时出现时，这可能导致错误的推断并阻碍保护工作。正确的鉴定取决于可诊断的分类特征、照片质量以及观察者的经验和训练。然而，植根于分类学的关键字很少用于识别相机陷阱图像，错误率很少评估，即使在研究区域存在形态相似的物种。我们测试了一种方法，以确保高识别精度使用两个同域和形态相似的花栗鼠（Neotamias）物种作为案例研究。我们假设，识别精度将提高与使用的识别密钥和观察员的培训，导致更高水平的观察员的信心和观察员之间的协议。我们开发了一个识别密钥，并根据经过验证的博物馆标本的照片测试了识别准确性。我们的研究结果支持这些假设的预测。此外，我们通过比较远程相机数据与现场捕获数据来验证该方法。我们建议使用这些方法来评估错误率并排除相机陷阱数据集中的模糊记录。我们敦促确保正确和科学上可辩护的物种鉴定是研究人员的责任，并应纳入相机陷阱工作流程。即使在专家中，相机陷阱数据中动物的错误识别也可能很高，从而影响其实用性。我们测试了一种方法，以确保高识别精度使用两个同域和形态相似的花栗鼠（Neotamias）物种作为案例研究。我们建议使用这些方法来评估错误率并删除相机陷阱数据集中的模糊记录，我们敦促确保正确和科学上可辩护的物种识别是研究人员的责任，并应纳入相机陷阱工作流程。
Remote cameras are a common method for surveying wildlife and recently have been promoted for implementing large‐scale regional biodiversity monitoring programs. The use of camera‐trap data depends on the correct identification of animals captured in the photographs, yet misidentification rates can be high, especially when morphologically similar species co‐occur, and this can lead to faulty inferences and hinder conservation efforts. Correct identification is dependent on diagnosable taxonomic characters, photograph quality, and the experience and training of the observer. However, keys rooted in taxonomy are rarely used for the identification of camera‐trap images and error rates are rarely assessed, even when morphologically similar species are present in the study area. We tested a method for ensuring high identification accuracy using two sympatric and morphologically similar chipmunk (Neotamias) species as a case study. We hypothesized that the identification accuracy would improve with use of the identification key and with observer training, resulting in higher levels of observer confidence and higher levels of agreement among observers. We developed an identification key and tested identification accuracy based on photographs of verified museum specimens. Our results supported predictions for each of these hypotheses. In addition, we validated the method in the field by comparing remote‐camera data with live‐trapping data. We recommend use of these methods to evaluate error rates and to exclude ambiguous records in camera‐trap datasets. We urge that ensuring correct and scientifically defensible species identifications is incumbent on researchers and should be incorporated into the camera‐trap workflow. Misidentification of animals in camera‐trap data can be high even among experts, compromising its utility. We tested a method for ensuring high identification accuracy using two sympatric and morphologically similar chipmunk (Neotamias) species as a case study. We recommend use of these methods to evaluate error rates and to remove ambiguous records in camera‐trap datasets, and we urge that ensuring correct and scientifically defensible species identifications is incumbent on researchers and should be incorporated into the camera‐trap workflow.
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