Suppr超能文献

池塘声学采样方案:小型水体快速声学数据采集的协议草案。

Pond Acoustic Sampling Scheme: A draft protocol for rapid acoustic data collection in small waterbodies.

作者信息

Abrahams Carlos, Desjonquères Camille, Greenhalgh Jack

机构信息

Baker Consultants Ltd Matlock UK.

Nottingham Trent University Nottingham UK.

出版信息

Ecol Evol. 2021 May 1;11(12):7532-7543. doi: 10.1002/ece3.7585. eCollection 2021 Jun.

Abstract

Freshwater conservation is vital to the maintenance of global biodiversity. Ponds are a critical, yet often under-recognized, part of this, contributing to overall ecosystem functioning and diversity. They provide habitats for a range of aquatic, terrestrial, and amphibious life, often including rare and declining species.Effective, rapid, and accessible survey methods are needed to enable evidence-based conservation action, but freshwater taxa are often viewed as "difficult"-and few specialist surveyors are available. Datasets on ponds are therefore limited in their spatiotemporal coverage.With the advent of new recording technologies, acoustic survey methods are becoming increasingly available to researchers, citizen scientists, and conservation practitioners. They can be an effective and noninvasive approach for gathering data on target species, assemblages, and environmental variables. However, freshwater applications are lagging behind those in terrestrial and marine spheres, and as an emergent method, research studies have employed a multitude of different sampling protocols.We propose the Pond Acoustic Sampling Scheme (PASS), a simple protocol to allow a standardized minimal sample to be collected rapidly from small waterbodies, alongside environmental and methodological metadata. This sampling scheme can be incorporated into a variety of survey designs and is intended to allow access to a wide range of participants, without requiring complicated or prohibitively expensive equipment.Adoption of this sampling protocol would enable consistent sound recordings to be gathered by researchers and conservation organizations, and allow the development of landscape-scale surveys, data sharing, and collaboration within an expanding freshwater ecoacoustic community-rather than individual approaches that produce incompatible datasets. The compilation of standardized data would improve the prospects for effective research into the soundscapes of small waterbodies and aid freshwater conservation efforts.

摘要

淡水保护对于维护全球生物多样性至关重要。池塘是其中关键但常被忽视的一部分,对整体生态系统功能和多样性有贡献。它们为一系列水生、陆生和两栖生物提供栖息地,其中常包括珍稀和数量减少的物种。需要有效、快速且可及的调查方法来推动基于证据的保护行动,但淡水生物分类群常被视为“难处理的”,且专业调查人员稀少。因此,池塘数据集在时空覆盖范围上有限。随着新记录技术的出现,声学调查方法越来越多地可供研究人员、公民科学家和保护从业者使用。它们可以是收集目标物种、群落和环境变量数据的有效且非侵入性的方法。然而,淡水领域的应用落后于陆地和海洋领域,并且作为一种新兴方法,研究采用了多种不同的采样方案。我们提出池塘声学采样方案(PASS),这是一种简单的方案,可快速从小水体中收集标准化的最小样本,同时收集环境和方法学元数据。这种采样方案可纳入各种调查设计中,旨在让广泛的参与者能够使用,而无需复杂或极其昂贵的设备。采用这种采样方案将使研究人员和保护组织能够收集一致的声音记录,并促进在不断扩大的淡水生态声学社区内开展景观尺度的调查、数据共享和合作,而不是采用产生不兼容数据集的个别方法。标准化数据的汇编将改善对小水体声景进行有效研究的前景,并有助于淡水保护工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60c4/8216941/1e8f185ad7c4/ECE3-11-7532-g003.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验