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Multiparametric monitoring of fish activity rhythms in an Atlantic coastal cabled observatory
Journal of Marine Systems ( IF 2.7 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.jmarsys.2020.103424
J. Aguzzi , D. López-Romero , S. Marini , C. Costa , A. Berry , R. Chumbinho , T. Ciuffardi , E. Fanelli , N. Pieretti , J. Del Río , S. Stefanni , L. Mirimin , J. Doyle , C. Lordan , P. Gaughan

Abstract Cabled video-observatories offer new opportunities to monitor fish species at frequencies and durations never attained before, quantifying the behavioural activities of their individuals, and providing ancillary data to inform stock assessment (in a fishery-independent manner). In this context, our objective was to improve the ecological monitoring capability of SmartBay observatory (20 m depth, Galway Bay, Ireland), through a pilot study dedicated to tracking of fish counts (as a proxy of populations activity rhythms), in a context where species behaviour and consequent community turnover may occur at different temporal cycles (i.e. tidal versus day-night). In order to understand how animals can regulate their behavioural activity upon those cycles, we enforced a time-lapse (1 h interval) image collection and concomitant multiparametric oceanographic plus acoustic data acquisition continuously during 24 h, over 30 days in August 2018 (when turbidity is at minimum). For each image, we classified and then counted all visible fish and derived count time series. Periodogram and waveform analyses were used to calculate their fluctuations' periodicity (i.e. the ruling cycle) and phase (i.e. peak timing in relation to the cycle). A total of 12 marine teleost species were pictured with Trisopterus minutus, Trachurus trachurus and Chelidonichthys lucerna characterized by day-night related rhythms, while others, such as Trisopterus luscus and Gadus morhua, were influenced by the tidal cycle. 24 h count patterns were compared together and investigated for time-based ecological niche-partitioning in a wave and current-affected soundscape. These findings were discussed in relation to the ecology of species and the feasibility of promising observatory-based monitoring applications in fishery assessment practices, when targeted species have commercial value.

中文翻译:

大西洋沿岸有线天文台鱼类活动节律的多参数监测

摘要 有线视频观测站提供了以前所未有的频率和持续时间监测鱼类物种的新机会,量化其个体的行为活动,并提供辅助数据以告知种群评估(以独立于渔业的方式)。在这种情况下,我们的目标是通过一项专门跟踪鱼类数量(作为种群活动节律的代理)的试点研究,提高 SmartBay 天文台(20 m 深度,爱尔兰戈尔韦湾)的生态监测能力。其中物种行为和随之而来的群落更替可能发生在不同的时间周期(即潮汐与昼夜)。为了了解动物如何根据这些周期调节其行为活动,我们在 2018 年 8 月超过 30 天的 24 小时内(当浊度最低时)连续执行延时(1 小时间隔)图像收集和伴随的多参数海洋学和声学数据采集。对于每张图像,我们对所有可见的鱼进行分类然后计数,并得出计数时间序列。周期图和波形分析用于计算其波动的周期性(即主周期)和相位(即与周期相关的峰值时间)。总共拍摄了 12 种海洋硬骨鱼类,其中 Trisopterus minutus、Trachurus trachurus 和 Chelidonichthys lucerna 以昼夜相关的节奏为特征,而其他如 Trisopterus luscus 和 Gadus morhua 则受到潮汐周期的影响。将 24 小时计数模式放在一起进行比较,并研究了波浪和受电流影响的音景中基于时间的生态位分区。当目标物种具有商业价值时,就物种生态学和渔业评估实践中基于观测站的监测应用的可行性对这些发现进行了讨论。
更新日期:2020-12-01
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