Dyomin Victor, Polovtsev Igor, Davydova Alexandra, Kirillov Nikolai
Laboratory for Radiophysical and Optical Methods of Environmental Research, National Research Tomsk State University, Tomsk, Russia, 634050.
Sci Rep. 2025 Jan 13;15(1):1884. doi: 10.1038/s41598-025-85790-w.
Monitoring the parameters and behavior of plankton makes it possible to assess the state of the aquatic ecosystem and detect the beginning of an environmental disaster at an early stage. In this respect, the most informative method for the in situ plankton study is underwater digital holography. This method allows obtaining information on the size, shape, and location of plankton individuals, as well as performing their classification and biotesting according to their behavioral responses using a submersible holographic camera non-invasively, in real time, and in the automatic mode. The monitoring series of the ecosystem functions can be used to assess the state of the ecosystem. One of them is the time series of the concentration of individuals of various plankton taxa in a certain volume. There are characteristic rhythms in the ecosystem function caused by both plankton biorhythms and changes in habitat parameters, as well as their synchronization, whereas a change in this rhythm may serve as an alarm signal for the ecosystem deprivation. By constructing the analogies based on the spectroscopy of atoms and molecules the paper shows the bioindication capabilities of the Fourier spectra of the plankton ecosystem function, built during monitoring measurements using a submersible digital holographic camera. The spectroscopic study of plankton allows determining the pollution in the plankton habitat at early stages. The in situ experimental data suggest that the order and chaos of plankton biocenosis are reflected in the structure of the spectral lines of the ecosystem functions associated with plankton. Various self-oscillatory processes in the biocenosis that regulate the plankton number and rhythm form the basis for plankton spectroscopy, which may be used for bioindication monitoring.
监测浮游生物的参数和行为有助于评估水生生态系统的状态，并在早期阶段发现环境灾难的端倪。在这方面，用于原位浮游生物研究的最具信息价值的方法是水下数字全息术。该方法能够获取浮游生物个体的大小、形状和位置信息，还能通过使用潜水全息相机以非侵入性、实时和自动模式，根据浮游生物的行为反应对其进行分类和生物测试。生态系统功能的监测系列可用于评估生态系统的状态。其中之一是一定体积内各种浮游生物分类群个体浓度的时间序列。生态系统功能中存在由浮游生物的生物节律、栖息地参数变化及其同步性所导致的特征性节律，而这种节律的变化可能作为生态系统受损的警报信号。通过基于原子和分子光谱构建类比，本文展示了在使用潜水数字全息相机进行监测测量期间构建的浮游生物生态系统功能的傅里叶光谱的生物指示能力。对浮游生物的光谱研究能够在早期阶段确定浮游生物栖息地的污染情况。原位实验数据表明，浮游生物群落的有序和无序反映在与浮游生物相关的生态系统功能光谱线的结构中。生物群落中调节浮游生物数量和节律的各种自振荡过程构成了浮游生物光谱学的基础，可用于生物指示监测。
