• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

利用被动声学监测技术探测黄腹袋狸,一种高度发声的树栖有袋动物。

Passive acoustic monitoring for detecting the Yellow-bellied Glider, a highly vocal arboreal marsupial.

机构信息

Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Burwood, Victoria, Australia.

出版信息

PLoS One. 2021 May 25;16(5):e0252092. doi: 10.1371/journal.pone.0252092. eCollection 2021.

DOI:10.1371/journal.pone.0252092
PMID:34033663
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8148312/
Abstract

Passive acoustic monitoring (PAM) is increasingly being used for the survey of vocalising wildlife species that are otherwise cryptic and difficult to survey. Our study aimed to develop PAM guidelines for detecting the Yellow-bellied Glider, a highly vocal arboreal marsupial that occurs in native Eucalyptus forests in eastern and south-eastern Australia. To achieve this, we considered the influence of background noise, weather conditions, lunar illumination, time since sunset and season on the probability of detecting vocalisations. We deployed Autonomous Recording Units (ARUs) at 43 sites in the Central Highlands of Victoria during two periods: spring/summer (October 2018 to January 2019), and autumn/winter (May to August 2019). ARUs were programmed to record for 11 hours from sunset for 14 consecutive days during each period. Background noise resulted from inclement weather (wind and rain) and masked vocalisations in spectrograms of the recordings, thus having the greatest influence on detection probability. Vocalisations were most common in the four hours after sunset. Rainfall negatively influenced detection probability, especially during the autumn/winter sampling period. Detection of Yellow-bellied Gliders with PAM requires deploying ARUs programmed to record for four hours after sunset, for a minimum of six nights with minimal inclement weather (light or no wind or rain). The survey period should be extended to 12 nights when rain or wind are forecast. Because PAM is less labour intensive than active surveys (i.e., spotlighting and call playbacks with multiple observers and several nights' survey per site), its use will facilitate broad-scale surveys for Yellow-bellied Gliders.

摘要

被动声学监测(PAM)越来越多地用于调查那些原本难以探测的发声野生动物。我们的研究旨在为检测黄腹袋狸制定 PAM 指南,黄腹袋狸是一种高度发声的树栖有袋动物,分布于澳大利亚东部和东南部的原生桉树森林中。为了实现这一目标,我们考虑了背景噪声、天气条件、月照、日落时间和季节对检测发声概率的影响。我们在维多利亚州中部高地的 43 个地点部署了自动录音器(ARUs),在两个时期进行了监测:春季/夏季(2018 年 10 月至 2019 年 1 月)和秋季/冬季(2019 年 5 月至 8 月)。每个时期,ARUs 都被编程为从日落开始连续记录 14 天,每天记录 11 小时。背景噪声来自恶劣天气(风和雨),掩盖了录音的声谱图中的发声,因此对检测概率的影响最大。发声最常见于日落四小时后。降雨对检测概率有负面影响,特别是在秋季/冬季采样期间。使用 PAM 检测黄腹袋狸需要部署 ARUs,编程为在日落四小时后记录,最少需要六晚,且天气恶劣(无风和无雨或轻微风/雨)。当预报有雨或风时,应将调查时间延长至 12 晚。由于 PAM 比主动调查(即使用多个观察者进行灯光照射和叫声回放,每个地点进行数晚的调查)劳动强度低,因此其使用将有助于黄腹袋狸的大规模调查。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/595f36a16469/pone.0252092.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/2cee8ab8f197/pone.0252092.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/d762b8cebcab/pone.0252092.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/a4884aee25b6/pone.0252092.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/adb4fe40c5ef/pone.0252092.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/4af7159d8a2b/pone.0252092.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/595f36a16469/pone.0252092.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/2cee8ab8f197/pone.0252092.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/d762b8cebcab/pone.0252092.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/a4884aee25b6/pone.0252092.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/adb4fe40c5ef/pone.0252092.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/4af7159d8a2b/pone.0252092.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/8148312/595f36a16469/pone.0252092.g006.jpg

相似文献

1
Passive acoustic monitoring for detecting the Yellow-bellied Glider, a highly vocal arboreal marsupial.利用被动声学监测技术探测黄腹袋狸,一种高度发声的树栖有袋动物。
PLoS One. 2021 May 25;16(5):e0252092. doi: 10.1371/journal.pone.0252092. eCollection 2021.
2
Passive acoustic surveys for predicting species' distributions: Optimising detection probability.被动声学调查预测物种分布:优化探测概率。
PLoS One. 2018 Jul 18;13(7):e0199396. doi: 10.1371/journal.pone.0199396. eCollection 2018.
3
The acoustic repertoire and behavioural context of the vocalisations of a nocturnal dasyurid, the eastern quoll (Dasyurus viverrinus).一种夜行性袋鼬科动物——东部袋鼬(Dasyurus viverrinus)发声的声学特征及行为背景。
PLoS One. 2017 Jul 7;12(7):e0179337. doi: 10.1371/journal.pone.0179337. eCollection 2017.
4
Detection ranges of forest bird vocalisations: guidelines for passive acoustic monitoring.森林鸟类鸣声检测范围:被动声学监测指南。
Sci Rep. 2024 Jan 9;14(1):894. doi: 10.1038/s41598-024-51297-z.
5
Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests.评估被动声学监测中的全社区时间采样:亚热带山地森林鸟类发声模式的综合研究。
F1000Res. 2024 Jan 23;12:1299. doi: 10.12688/f1000research.141951.2. eCollection 2023.
6
Ecological inferences about marine mammals from passive acoustic data.从被动声学数据推断海洋哺乳动物的生态信息。
Biol Rev Camb Philos Soc. 2023 Oct;98(5):1633-1647. doi: 10.1111/brv.12969. Epub 2023 May 4.
7
Windy events detection in big bioacoustics datasets using a pre-trained Convolutional Neural Network.使用预训练卷积神经网络在大型生物声学数据集检测风噪声事件。
Sci Total Environ. 2024 Nov 1;949:174868. doi: 10.1016/j.scitotenv.2024.174868. Epub 2024 Jul 19.
8
Acoustic detection range of right whale upcalls identified in near-real time from a moored buoy and a Slocum glider.通过系泊浮标和Slocum滑翔器近实时识别的露脊鲸高频呼叫的声学探测范围。
J Acoust Soc Am. 2022 Apr;151(4):2558. doi: 10.1121/10.0010124.
9
Near-real-time acoustic monitoring of beaked whales and other cetaceans using a Seaglider™.利用 Seaglider™ 对喙鲸和其他鲸目动物进行近实时声学监测。
PLoS One. 2012;7(5):e36128. doi: 10.1371/journal.pone.0036128. Epub 2012 May 18.
10
Robust sound event detection in bioacoustic sensor networks.生物声传感器网络中的鲁棒声音事件检测。
PLoS One. 2019 Oct 24;14(10):e0214168. doi: 10.1371/journal.pone.0214168. eCollection 2019.

引用本文的文献

1
Thermal drone surveys to detect arboreal fauna: Improving population estimates and threatened species monitoring.用于检测树栖动物的热成像无人机调查:改进种群估计和濒危物种监测
Ecol Appl. 2025 Sep;35(6):e70091. doi: 10.1002/eap.70091.
2
Ultrasound and ultraviolet: crypsis in gliding mammals.超声与紫外:滑翔哺乳动物的拟态
PeerJ. 2024 Mar 25;12:e17048. doi: 10.7717/peerj.17048. eCollection 2024.
3
Sampling environmental DNA from trees and soil to detect cryptic arboreal mammals.从树木和土壤中采集环境 DNA 以检测隐匿的树栖哺乳动物。

本文引用的文献

1
Passive acoustics and sound recognition provide new insights on status and resilience of an iconic endangered marsupial (koala Phascolarctos cinereus) to timber harvesting.被动声学和声音识别为标志性濒危有袋动物(树袋熊 Phascolarctos cinereus)的生存状况和恢复力提供了新的认识,以应对木材采伐。
PLoS One. 2018 Oct 31;13(10):e0205075. doi: 10.1371/journal.pone.0205075. eCollection 2018.
2
Passive acoustic surveys for predicting species' distributions: Optimising detection probability.被动声学调查预测物种分布:优化探测概率。
PLoS One. 2018 Jul 18;13(7):e0199396. doi: 10.1371/journal.pone.0199396. eCollection 2018.
3
Sci Rep. 2023 Jan 5;13(1):180. doi: 10.1038/s41598-023-27512-8.
The foraging behaviour of a nectar feeding marsupial, Petaurus australis.
一种以花蜜为食的有袋动物——澳洲帚尾袋貂的觅食行为。
Oecologia. 1990 Dec;85(2):191-199. doi: 10.1007/BF00319401.
4
Passive acoustic monitoring reveals group ranging and territory use: a case study of wild chimpanzees (Pan troglodytes).被动声学监测揭示了群体活动范围和领地使用情况:野生黑猩猩(Pan troglodytes)的案例研究。
Front Zool. 2016 Aug 8;13:34. doi: 10.1186/s12983-016-0167-8. eCollection 2016.
5
Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation.无人机与人工智能正在彻底改变野生动物监测与保护工作。
Sensors (Basel). 2016 Jan 14;16(1):97. doi: 10.3390/s16010097.
6
Sampling environmental acoustic recordings to determine bird species richness.采样环境声记录以确定鸟类物种丰富度。
Ecol Appl. 2013 Sep;23(6):1419-28. doi: 10.1890/12-2088.1.
7
Density can be misleading for low-density species: benefits of passive acoustic monitoring.密度可能会对低密度物种产生误导:被动声学监测的好处。
PLoS One. 2013;8(1):e52542. doi: 10.1371/journal.pone.0052542. Epub 2013 Jan 9.
8
Estimating animal population density using passive acoustics.利用被动声学估计动物种群密度。
Biol Rev Camb Philos Soc. 2013 May;88(2):287-309. doi: 10.1111/brv.12001. Epub 2012 Nov 29.
9
Estimating cetacean population density using fixed passive acoustic sensors: an example with Blainville's beaked whales.使用固定被动声学传感器估计鲸类种群密度:以布兰氏喙鲸为例。
J Acoust Soc Am. 2009 Apr;125(4):1982-94. doi: 10.1121/1.3089590.
10
Salvage logging in the montane ash eucalypt forests of the Central Highlands of Victoria and its potential impacts on biodiversity.维多利亚州中部高地山地桉树林的灾后采伐及其对生物多样性的潜在影响。
Conserv Biol. 2006 Aug;20(4):1005-15. doi: 10.1111/j.1523-1739.2006.00501.x.