Riede Klaus, Balakrishnan Rohini
Zoologisches Forschungsmuseum Alexander Koenig Leibniz-Institut fur Biodiversitat der Tiere, Bonn, North Rhine-Westphalia 53113, Germany.
Centre for Ecological Sciences, Indian Institute of Science, Bangalore, Karnataka, India.
Philos Trans R Soc Lond B Biol Sci. 2025 Jun 12;380(1928):20240046. doi: 10.1098/rstb.2024.0046.
Monitoring the species-specific sounds produced by insects could provide us with a rapid, reliable, non-invasive measure of tropical ecosystem health and biodiversity. Although acoustic biodiversity monitoring has made rapid progress over the past decade, the focus has been mostly on vertebrates, even though insects far outnumber them and tropical soundscapes are dominated by insect sounds. Here, we provide an overview of song features for the major sound-producing insect groups, identify technological milestones and describe impediments for analysing tropical soundscapes and insect communities. We review some promising best practices using singing insects for non-invasive acoustic profiling and tracking of diversity in rainforest ecosystems under threat. We suggest a roadmap to support insect conservation by integrating passive acoustic monitoring within monitoring networks and environmental certification schemes. Artificial intelligence could help to analyse the wealth of existing data, but requires efficient curation of sound repositories, including emerging citizen science projects.This article is part of the theme issue 'Acoustic monitoring for tropical ecology and conservation'.
监测昆虫发出的特定物种声音能够为我们提供一种快速、可靠且非侵入性的衡量热带生态系统健康状况和生物多样性的方法。尽管在过去十年中，声学生物多样性监测取得了迅速进展，但重点大多放在了脊椎动物上，即便昆虫数量远超脊椎动物，且热带声景以昆虫声音为主导。在此，我们概述了主要发声昆虫类群的鸣声特征，确定了技术里程碑，并描述了分析热带声景和昆虫群落的障碍。我们回顾了一些利用鸣虫进行非侵入性声学剖析以及追踪受威胁雨林生态系统多样性的有前景的最佳实践。我们提出了一个路线图，通过将被动声学监测纳入监测网络和环境认证计划来支持昆虫保护。人工智能有助于分析现有大量数据，但需要对声音库进行有效管理，包括新兴的公民科学项目。本文是主题为“热带生态学与保护的声学监测”的一部分。
