Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, 1749-016, Lisboa, Portugal; IMBRSEA, Ghent University, 9000, Ghent, Belgium.
Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, 1749-016, Lisboa, Portugal; cE3c - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, 1749-016, Lisboa, Portugal.
Mar Environ Res. 2024 Jul;199:106600. doi: 10.1016/j.marenvres.2024.106600. Epub 2024 Jun 8.
Marine ecosystems are increasingly subjected to anthropogenic pressures, which demands urgent monitoring plans. Understanding soundscapes can offer unique insights into the ocean status providing important information and revealing different sounds and their sources. Fishes can be prominent soundscape contributors, making passive acoustic monitoring (PAM) a potential tool to detect the presence of vocal fish species and to monitor changes in biodiversity. The major goal of this research was to provide a first reference of the marine soundscapes of the Madeira Archipelago focusing on fish sounds, as a basis for a long-term PAM program. Based on the literature, 102 potentially vocal and 35 vocal fish species were identified. Additionally 43 putative fish sound types were detected in audio recordings from two marine protected areas (MPAs) in the Archipelago: the Garajau MPA and the Desertas MPA. The Garajau MPA exhibited higher fish vocal activity, a greater variety of putative fish sound types and higher fish sound diversity. Lower abundance of sounds was found at night at both MPAs. Acoustic activity revealed a clear distinction between diurnal and nocturnal fish groups and demonstrated daily patterns of fish sound activity, suggesting temporal and spectral partitioning of the acoustic space. Pomacentridae species were proposed as candidates for some of the dominant sound types detected during the day, while scorpionfishes (Scorpaena spp.) were proposed as sources for some of the dominant nocturnal fish sounds. This study provides an important baseline about this community acoustic behaviour and is a valuable steppingstone for future non-invasive and cost-effective monitoring programs in Madeira.
海洋生态系统越来越受到人为压力的影响,这就要求我们制定紧急的监测计划。了解声音景观可以为海洋状况提供独特的见解,提供重要的信息,并揭示不同的声音及其来源。鱼类可以成为显著的声音景观贡献者,因此被动声学监测(PAM)成为探测发声鱼类物种存在和监测生物多样性变化的一种潜在工具。本研究的主要目标是提供马德拉群岛海洋声音景观的初步参考,重点是鱼类声音,作为长期 PAM 计划的基础。根据文献,确定了 102 种可能发声和 35 种发声鱼类。此外,在群岛两个海洋保护区(Garajau MPA 和 Desertas MPA)的音频记录中检测到 43 种潜在鱼类声音类型。Garajau MPA 表现出更高的鱼类发声活动、更多种类的潜在鱼类声音类型和更高的鱼类声音多样性。两个保护区夜间的声音都较少。声学活动清楚地区分了昼间和夜间鱼类群体,并展示了鱼类声音活动的日变化模式,表明声学空间的时间和频谱分区。白天检测到的一些主要声音类型被提议为雀鲷科鱼类的候选者,而一些主要的夜间鱼类声音则被提议为蝎子鱼(Scorpaena spp.)的来源。本研究提供了有关该群落声学行为的重要基线,是未来在马德拉进行非侵入性和具有成本效益的监测计划的宝贵基石。