Photoidentification as a potential tool for individual recognition of Dendropsophus elegans (Anura: Hylidae)

IF 2.2 3区 环境科学与生态学 Q2 BIODIVERSITY CONSERVATION Journal for Nature Conservation Pub Date : 2024-09-01 DOI:10.1016/j.jnc.2024.126702
Lara Valesca Mendonça da Costa Santos , Geraldo Jorge Barbosa de Moura , Xavier Arnan
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Abstract

Marking-recapture techniques are essential in the study of wild animal populations, and the use of accessible, easy to apply, and less invasive methods is preferable. Several studies have reported negative effects of more invasive or inaccurate techniques when studying animal behaviour and survival, which raised the alert for the encouragement of affordable and less invasive techniques, such as photoidentification using natural markings. The aim of this study was to compare the performance of the promising use of photoidentification with the application of visible elastomers in the field, verifying application time and presence of stress behaviours in the model anuran species Dendropsophus elegans (Wied-Neuwied, 1824), which has an evident dorsal spotting pattern. In addition, we checked the subsequent performance of individual recognition by software-assisted photoidentification, code recognition of visible elastomers, and manual photoidentification, considering accuracy (error types) and recognition time. We found that software photoidentification had a similar performance to the manual one and elastomer combination for identifying recaptures, but its execution time was the shortest among the three and it was more accurate. There was no association between the presence of stress behaviours and any technique applied in the field. These results suggest that software-assisted photoidentification combined with a field protocol may be an efficient technique in the study of this species, and its applicability may be extended to other species with natural markings.

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将照片识别作为识别高脚蟾蜍个体的潜在工具
在研究野生动物种群时,标记-再捕捉技术是必不可少的,最好使用易于使用、侵入性较小的方法。有几项研究报告称,在研究动物行为和生存时,侵入性较强或不准确的技术会产生负面影响,这引起了人们的警觉,鼓励使用经济实惠、侵入性较小的技术,如利用自然标记进行照片识别。本研究的目的是比较有希望使用的照片识别技术与在野外使用可见弹性体的性能,验证在具有明显背侧斑点图案的模式无尾类物种 Dendropsophus elegans(Wied-Neuwied,1824 年)上使用的时间和应激行为的存在。此外,考虑到准确性(错误类型)和识别时间,我们还检查了软件辅助照片识别、可见弹性体代码识别和人工照片识别的个体识别性能。我们发现,在识别重新捕获的个体方面,软件照片识别与人工照片识别和弹性体识别的性能相似,但软件照片识别的执行时间是三者中最短的,而且更准确。出现应激行为与现场应用的任何技术之间都没有关联。这些结果表明,软件辅助照片识别技术与现场规程相结合可能是研究该物种的一种有效技术,其适用性可扩展到其他具有天然标记的物种。
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来源期刊
Journal for Nature Conservation
Journal for Nature Conservation 环境科学-生态学
CiteScore
3.70
自引率
5.00%
发文量
151
审稿时长
7.9 weeks
期刊介绍: The Journal for Nature Conservation addresses concepts, methods and techniques for nature conservation. This international and interdisciplinary journal encourages collaboration between scientists and practitioners, including the integration of biodiversity issues with social and economic concepts. Therefore, conceptual, technical and methodological papers, as well as reviews, research papers, and short communications are welcomed from a wide range of disciplines, including theoretical ecology, landscape ecology, restoration ecology, ecological modelling, and others, provided that there is a clear connection and immediate relevance to nature conservation. Manuscripts without any immediate conservation context, such as inventories, distribution modelling, genetic studies, animal behaviour, plant physiology, will not be considered for this journal; though such data may be useful for conservationists and managers in the future, this is outside of the current scope of the journal.
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