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首页> 外文期刊>Oceanography and Marine Biology: An Annual Review >CHALLENGES TO THE ASSESSMENT OF BENTHIC POPULATIONS AND BIODIVERSITY AS A RESULT OF RHYTHMIC BEHAVIOUR: VIDEO SOLUTIONS FROM CABLED OBSERVATORIES
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CHALLENGES TO THE ASSESSMENT OF BENTHIC POPULATIONS AND BIODIVERSITY AS A RESULT OF RHYTHMIC BEHAVIOUR: VIDEO SOLUTIONS FROM CABLED OBSERVATORIES

机译：有节奏行为导致的底栖动物种群和生物多样性评估的挑战：来自有线天文台的视频解决方案

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All marine species studied thus far show rhythmic temporal patterns in their behavioural, physiological, and molecular functions, which are collectively known as biological rhythms. Biological rhythms are generated by biological clocks that time biological functions and are synchronized by geophysical cycles, such as the solar light-dark cycle and tidal cycle. On continental margins, behavioural rhythms can be detected by diel (i.e., 24-hour based) or seasonal periodical trawling as a consequence of massive inward and outward displacements of populations to and from the sample areas. As a result, significant errors in population/stock and biodiversity assessments performed by trawling may occur if timing of sampling is not taken into account. The increasing number of cabled and permanent multiparametric seafloor observatories now allows direct, continuous, and long-lasting monitoring of benthic ecosystems and analysis in relation to several habitat cycles. This review describes the adaptation of this technology to investigations of rhythmic behaviour by focussing on automated video imaging. Diel fluctuations in the number of video-observed individuals can be used as a measure of average population rhythmic behaviour. The potential implementation of automated video image analysis in relation to animal tracking and classification procedures based on the combined use of morphometric tools and multivariate statistics is detailed in relation to populational and community studies. Based on video cameras mounted at multiparametric cabled observatories, an integrated time-series analysis protocol using chronobiomedical procedures is proposed to place video-recorded bioinformation in an oceanographic context.
机译：迄今为止，所有研究的海洋物种在其行为，生理和分子功能方面均表现出节律性的时间模式，这些模式被统称为生物节律。生物节律是由生物钟产生的，生物钟对生物功能进行计时，并通过地球物理周期（例如太阳明暗周期和潮汐周期）同步。在大陆边缘，由于人口大量向内和向外迁移到样本区域和从样本区域向外迁移，因此可以通过diel（即24小时制）或季节性定期拖网来检测行为节奏。结果，如果不考虑采样时间，可能会通过拖网进行人口/种群和生物多样性评估时出现重大错误。现在，越来越多的有线和永久性多参数海底观测站使对底栖生态系统的直接，连续和持久的监视以及与几个生境周期有关的分析成为可能。这篇综述通过重点介绍自动视频成像技术，介绍了该技术对节奏行为调查的适应性。视频观察到的个体数量的Diel波动可以用作平均人口节律行为的量度。有关形态学工具和多元统计数据结合使用的与动物跟踪和分类程序有关的自动视频图像分析的潜在实现方式，与人口和社区研究有关。基于安装在多参数有线观测站的摄像机，提出了一种使用时间生物医学程序的集成时间序列分析协议，用于将视频记录的生物信息置于海洋环境中。

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