声学信号分解揭示了大洋区域之间的水层对锋面系统的反应

IF 2.7 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
L. Izard , N. Fonvieille , C. Merland , P. Koubbi , D. Nerini , J. Habasque , A. Lebourges-Dhaussy , C. Lo Monaco , G. Roudaut , F. d’Ovidio , J.-B. Charrassin , C. Cotté
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引用次数: 0

摘要

水层区是大型浮游生物和微小浮游生物(MM)等种类繁多的生物的家园,通过日间垂直洄游(DVM)将富饶的表层水域与中层水域(200-1000 米)连接起来。有源声学通过探测生物的声散射层(SL)来补充净取样观测,从而能够以较高的时空分辨率监测中层浮游生物的动态。由于生物的声学响应与频率有关,因此多频率分析是更好地整合组成声散射层的生物的丰富多样性及其各自动态的一种相关方法。然而,分析不同深度范围内同时发射的声学信号,并将空间和时间变异性区分开来,是一项具有挑战性的工作,需要有相应的工具才能充分利用。本研究考察了南大洋和亚热带印度洋之间过渡带的浮游领域,穿越了圣保罗和阿姆斯特丹群岛自然保护区。我们扩展了多变量功能主成分分析(mfPCA),以分析两次海洋巡航(2016 年和 2022 年)中五个频率的联合垂直变化,从而将声学数据集分解为正交的垂直变化模式(VM)。我们发现第一种垂直模式与 DVM 导致的时间变异有关,而随后的垂直模式则主要描述空间分布模式。总体而言,从亚南极到亚热带,我们观察到:(i) 表层(0-100 米)密度增大;(ii) 中间层(100-300 米)密度在白天下降;(iii) 38 千赫出现密集的深层散射层。我们将观测结果归纳为三个不同的环境-声学区域,以探索 VMs 与现场环境条件的联系。我们将这些区域与垂直整合的海区散射系数分布(海洋生物生物量的代表)进行了比较。此外,我们还分析了互补巡航的物种组合变化,以进一步阐明观测到的声学分布。我们的研究表明,mfPCA 方法有望更好地整合水层的水平、垂直和时间维度,为进一步研究环境对水层群落分布和结构的控制迈出了一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decomposing acoustic signal reveals the pelagic response to a frontal system

The pelagic zone is home to a large diversity of organisms such as macrozooplankton and micronekton (MM), connecting the surface productive waters to the mesopelagic layers (200-1000 m) through diel vertical migrations (DVM). Active acoustics complement net sampling observations by detecting sound-scattering layers (SL) of organisms, allowing to monitor the MM dynamics with a high spatio-temporal resolution. Multi-frequency analyses are a pertinent approach to better integrate the rich diversity of organisms composing SLs and their respective dynamics. However, analysing simultaneously emitted acoustic signals with distinct depth ranges and separating spatial from temporal variability is challenging and needs adapted tools to be fully exploited. This study examines the pelagic realm in a transition zone between the Southern Ocean and the subtropical Indian Ocean, crossing the Saint-Paul and Amsterdam islands’ natural reserve. We extended a Multivariate Functional Principal Component Analysis (mfPCA) to analyse the joint vertical variation of five frequencies from two oceanographic cruises (2016 and 2022), allowing the decomposition of the acoustic dataset into orthogonal vertical modes (VM) of variability. We found the first VM to be linked to the temporal variability due to DVM, while the following majorly depict patterns in spatial distribution. Overall, from the subantarctic to the subtropical zones, we observed (i) enrichment of densities in the surface layer (0–100 m), (ii) a decrease in densities in the intermediate layer during the daytime (100–300 m) and (iii) the apparition of an intensive deep scattering layer on the 38 kHz. We explored VMs’ connection with in-situ environmental conditions by clustering our observations into three distinct environmental-acoustic regions. These regions were compared with vertically integrated nautical area scattering coefficient distribution, a proxy for marine organisms’ biomass. Additionally, we analysed species assemblage changes from complementary cruises to further elucidate the observed acoustic distribution. We show that the mfPCA method is promising to better integrate the pelagic horizontal, vertical and temporal dimensions which is a step towards further investigating the control of the environment on the distribution and structuring of pelagic communities.

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来源期刊
Journal of Marine Systems
Journal of Marine Systems 地学-地球科学综合
CiteScore
6.20
自引率
3.60%
发文量
81
审稿时长
6 months
期刊介绍: The Journal of Marine Systems provides a medium for interdisciplinary exchange between physical, chemical and biological oceanographers and marine geologists. The journal welcomes original research papers and review articles. Preference will be given to interdisciplinary approaches to marine systems.
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