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利用水下电视观察法研究挪威龙虾的洞穴出现节律及调查偏差

Burrow emergence rhythms of Nephrops norvegicus by UWTV and surveying biases.

作者信息

Aguzzi Jacopo, Bahamon Nixon, Doyle Jennifer, Lordan Colm, Tuck Ian D, Chiarini Matteo, Martinelli Michela, Company Joan B

机构信息

Instituto de Ciencias del Mar (ICM-CSIC), 08003, Barcelona, Spain.

Stazione Zoologica of Naples (SZN), 80122, Naples, Italy.

出版信息

Sci Rep. 2021 Mar 11;11(1):5797. doi: 10.1038/s41598-021-85240-3.

DOI:10.1038/s41598-021-85240-3
PMID:33707595
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7970996/
Abstract

Underwater Television (UWTV) surveys provide fishery-independent stock size estimations of the Norway lobster (Nephrops norvegicus), based directly on burrow counting using the survey assumption of "one animal = one burrow". However, stock size may be uncertain depending on true rates of burrow occupation. For the first time, 3055 video transects carried out in several Functional Units (FUs) around Ireland were used to investigate this uncertainty. This paper deals with the discrimination of burrow emergence and door-keeping diel behaviour in Nephrops norvegicus, which is one of the most commercially important fisheries in Europe. Comparisons of burrow densities with densities of visible animals engaged in door-keeping (i.e. animals waiting at the tunnel entrance) behaviour and animals in full emergence, were analysed at time windows of expected maximum population emergence. Timing of maximum emergence was determined using wave-form analysis and GAM modelling. The results showed an average level of 1 visible Nephrops individual per 10 burrow systems, depending on sampling time and depth. This calls into question the current burrow occupancy assumption which may not hold true in all FUs. This is discussed in relation to limitations of sampling methodologies and new autonomous robotic technological solutions for monitoring.

摘要

水下电视(UWTV)调查基于“一只动物 = 一个洞穴”的调查假设,通过直接统计洞穴数量来提供对挪威龙虾(Nephrops norvegicus)渔业独立种群规模的估计。然而,根据洞穴占用的实际比率,种群规模可能存在不确定性。首次利用在爱尔兰周围几个功能单元(FU)中进行的3055次视频断面调查来研究这种不确定性。本文探讨了挪威龙虾洞穴出现和守洞昼夜行为的辨别,挪威龙虾是欧洲最重要的商业渔业之一。在预期最大种群出现的时间窗口内,分析了洞穴密度与参与守洞行为(即在洞穴入口等待的动物)和完全出现的动物的可见密度的比较。使用波形分析和广义相加模型(GAM)建模确定最大出现时间。结果表明,根据采样时间和深度,每10个洞穴系统平均有1只可见的挪威龙虾个体。这对当前的洞穴占用假设提出了质疑,该假设可能并非在所有功能单元中都成立。文中结合采样方法的局限性和用于监测的新型自主机器人技术解决方案对此进行了讨论。

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New High-Tech Flexible Networks for the Monitoring of Deep-Sea Ecosystems.新型高科技灵活网络,用于深海生态系统监测。
Environ Sci Technol. 2019 Jun 18;53(12):6616-6631. doi: 10.1021/acs.est.9b00409. Epub 2019 Jun 5.
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Influence of tow duration on catch performance of trawl survey in the Mediterranean Sea.拖网持续时间对地中海拖网调查渔获性能的影响。
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Accounting for environmental and fishery management factors when standardizing CPUE data from a scientific survey: A case study for Nephrops norvegicus in the Pomo Pits area (Central Adriatic Sea).在标准化科学调查的 CPUE 数据时考虑环境和渔业管理因素:以波莫皮特斯地区(亚得里亚海中部)挪威海蜇虾为例。
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