Emerging technologies for pollinator monitoring

IF 5.8 1区农林科学 Q1 BIOLOGY

Current opinion in insect science Pub Date : 2025-03-12 DOI:10.1016/j.cois.2025.101367

Toke T Høye , Matteo Montagna , Bas Oteman , David B Roy

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引用次数: 0

Abstract

Efficient tools for monitoring pollinator populations are urgently needed to address their reported declines. Here, we review advanced technologies focusing on image recognition and DNA-based methods to monitor bees, hoverflies, moths, and butterflies. Insect camera traps are widely used to record nocturnal insects against uniform backgrounds, while cameras studying diurnal pollinators in natural vegetation are in early stages of development. Depending on context, insect camera traps can assess occurrence, phenology, and proxies of abundance for easily recognisable and common species. DNA-based techniques can drastically decrease the costs of sample processing and speed of specimen identification but strongly depend on the completeness of reference DNA databases, which are continually improving. Molecular analyses are becoming more affordable as uptake increases. Image-based methods for identification of dead specimens show promising results for some invertebrates, but image reference databases for pollinators are far from complete. Building image reference databases with expert entomologists is a priority. Lidar and acoustic sensors are emerging technologies although it is still uncertain which insect taxa can be separated in data from these sensors and how well. By improving accessibility to novel technologies and integrating them with existing approaches, monitoring of pollinators and other insects could deliver richer, more standardised and possibly cheaper data with benefits to future insect conservation efforts.

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用于监测授粉者的新兴技术。

迫切需要监测传粉媒介种群的有效工具，以解决报告的传粉媒介数量下降的问题。本文综述了以图像识别和基于dna的方法监测蜜蜂、食蚜蝇、飞蛾和蝴蝶的先进技术。昆虫相机陷阱被广泛用于在统一背景下记录夜间活动的昆虫，而研究自然植被中昼夜传粉者的相机则处于早期发展阶段。根据不同的环境，昆虫相机陷阱可以评估容易识别和常见物种的发生、物候和丰度代理。基于DNA的技术可以大大降低样品处理的成本和样品鉴定的速度，但在很大程度上依赖于参考DNA数据库的完整性，这是不断改进的。随着摄取的增加，分子分析变得越来越便宜。基于图像的死亡标本鉴定方法对一些无脊椎动物显示出有希望的结果，但传粉媒介的图像参考数据库还远远不够完整。与昆虫专家一起建立图像参考数据库是当务之急。激光雷达和声学传感器是新兴的技术，尽管从这些传感器的数据中可以分离出哪些昆虫类群，以及分离效果如何仍然不确定。通过提高新技术的可及性，并将其与现有方法相结合，对传粉媒介和其他昆虫的监测可以提供更丰富、更标准化、可能更便宜的数据，从而有利于未来的昆虫保护工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current opinion in insect science BIOLOGYECOLOGYENTOMOLOGY-ECOLOGY

CiteScore

10.40

自引率

1.90%

发文量

113

期刊介绍： Current Opinion in Insect Science is a new systematic review journal that aims to provide specialists with a unique and educational platform to keep up–to–date with the expanding volume of information published in the field of Insect Science. As this is such a broad discipline, we have determined themed sections each of which is reviewed once a year. The following 11 areas are covered by Current Opinion in Insect Science. -Ecology -Insect genomics -Global Change Biology -Molecular Physiology (Including Immunity) -Pests and Resistance -Parasites, Parasitoids and Biological Control -Behavioural Ecology -Development and Regulation -Social Insects -Neuroscience -Vectors and Medical and Veterinary Entomology There is also a section that changes every year to reflect hot topics in the field. Section Editors, who are major authorities in their area, are appointed by the Editors of the journal. They divide their section into a number of topics, ensuring that the field is comprehensively covered and that all issues of current importance are emphasized. Section Editors commission articles from leading scientists on each topic that they have selected and the commissioned authors write short review articles in which they present recent developments in their subject, emphasizing the aspects that, in their opinion, are most important. In addition, they provide short annotations to the papers that they consider to be most interesting from all those published in their topic over the previous year.