比较四个广泛使用的蝙蝠自动识别软件程序在西欧沿海地区识别九种蝙蝠的结果

IF 1.3 4区 生物学 Q2 ZOOLOGY
R. Brabant, Y. Laurent, Umit Dolap, S. Degraer, B. J. Poerink
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引用次数: 9

摘要

商业上可获得的蝙蝠自动识别软件包被广泛用于环境研究,从蝙蝠回声定位叫声的记录中识别蝙蝠物种。然而,如果在没有进一步验证的情况下使用结果,则需要谨慎,因为程序不能保证结果是正确的,并且经常发生错误的物种识别。因此,将自动物种识别视为理所当然可能会导致环境研究中的错误结论。我们研究的目标是通过处理四个程序中相同的参考数据集,客观评估四个商用和常用的自动识别软件程序的性能。参考数据集由九个物种组成,这些物种是根据它们对西欧开放栖息地的偏好或因为它们在海上流浪,因此容易受到陆上风电场和海上风电场开发的影响而选择的。随着最近的研究发现海上风电场和某些蝙蝠物种之间可能存在冲突,越来越多的人对近海地区进行了检查。在我们的测试中,我们包括了两个尚未在其他研究中测试的自动识别程序,以及一个来自不同地理区域(西欧)的参考数据集,与其他研究相比,该数据集具有不同的物种组成。因此,我们的数据增加了对分析软件可靠性进行适当评估所需的知识库。总的来说,蝙蝠识别(77%的物种识别正确)和万花筒(71%)似乎相对可靠,而蝙蝠探索者(31%)的性能相对较差。SonoCiro在物种水平上正确识别了65%的序列。虽然测试的程序可能被认为是从录音中检测蝙蝠叫声的宝贵工具,但训练有素的蝙蝠专家需要对自动物种识别进行交叉检查,以避免得出错误结论。因此,我们的测试肯定了北欧和美国先前研究的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing the results of four widely used automated bat identification software programs to identify nine bat species in coastal Western Europe
Commercially available automated bat identification software packages are widely used in environmental studies to identify bat species from recordings of bat echolocation calls. Caution is, however, needed if the results are used without further verification, as the programs do not guarantee that the results are correct, and wrong species identifications often happen. Taking automated species identifications for granted might hence lead to erroneous conclusions in environmental studies.The goal of our study was to objectively assess the performance of four commercially available and commonly used automated identification software programs by processing an identical reference dataset with all four programs. The reference dataset consisted of nine species selected based on their preference for open habitats in Western Europe or because they occur as vagrants at sea and therefore are vulnerable to the development of onshore and offshore wind farms. Offshore areas are being increasingly examined, as recent studies have identified possible conflicts of offshore wind farms and certain bat species.In our test, we included two automated identification programs that have not yet been tested in other studies, and a reference dataset from a different geographical region (Western-Europe) with a different species composition compared to other studies. Our data hence add to the knowledge base needed for an appropriate assessment of the reliability of analytical software.In general, BatIdent (77% correct species identifications) and Kaleidoscope (71%) seem to be relatively reliable while the performance of BatExplorer (31%) is relatively poor. SonoChiro correctly identified 65% of the sequences to species level. While the tested programs may be considered valuable tools to detect bat calls from the recordings, a trained bat expert needs to cross-check the automated species identifications to avoid erroneous conclusions. Our test hence affirms the conclusions of previous studies in Northern Europe and the USA.
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来源期刊
Belgian Journal of Zoology
Belgian Journal of Zoology 生物-动物学
CiteScore
1.90
自引率
0.00%
发文量
10
审稿时长
>12 weeks
期刊介绍: The Belgian Journal of Zoology is an open access journal publishing high-quality research papers in English that are original, of broad interest and hypothesis-driven. Manuscripts on all aspects of zoology are considered, including anatomy, behaviour, developmental biology, ecology, evolution, genetics, genomics and physiology. Manuscripts on veterinary topics are outside of the journal’s scope. The Belgian Journal of Zoology also welcomes reviews, especially from complex or poorly understood research fields in zoology. The Belgian Journal of Zoology does no longer publish purely taxonomic papers. Surveys and reports on novel or invasive animal species for Belgium are considered only if sufficient new biological or biogeographic information is included.
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