Unveiling low-to-high-frequency data sampling caveats for aquaculture environmental monitoring and management
Unveiling low-to-high-frequency data sampling caveats for aquaculture environmental monitoring and management
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DOI：
10.1016/j.aqrep.2021.100764
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发表时间：
2021-07
影响因子：
3.7
通讯作者：
F. G. Sampaio;C. Araujo;B. Dallago;J. Stech;J. Lorenzzetti;E. Alcântara;M. E. Losekann;D. B. Marin;Joaquim Leão;G. W. Bueno
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作者：
F. G. Sampaio;C. Araujo;B. Dallago;J. Stech;J. Lorenzzetti;E. Alcântara;M. E. Losekann;D. B. Marin;Joaquim Leão;G. W. Bueno
为了水产养殖生产的可持续性，生产者应采用环境监测和管理这些企业的工具和协议。目前存在的问题涉及管理人员和水产养殖监测机构广泛使用的低频率数据收集程序和湖沼采样的有效性。在这种情况下，本研究评估的有效性，高频（HF）和低频（LF）湖沼监测。对于HF，在一个热带水库安装了自动数据收集平台，在有鱼类生产的地区安装了四个自动数据收集平台（WFP），在无鱼类生产的地区安装了一个自动数据收集平台（FFP，对照）。对于这两种采样方法，温度（温度），pH值，溶解氧（DO），浊度（Tbt），电导率（EC），和叶绿素a（Chl-a）的采样深度为1.5米，从水面。HF使用多参数探头，每10分钟记录一次每个参数，LF方法包括使用水采样技术在实验室中进行进一步测量的相同设置的每月数据采集。采样频率和方法的比较显示了监测期间所有测量参数的不同概况。水温、pH、DO、Tbt和Chl-a的日变化幅度的平均值在两种监测策略之间存在差异。结果的比较表明，高频湖沼监测使我们能够创建一个更准确的变化曲线的水质变量测量。ADCP是一种有用的策略，可用于捕获鱼类生产的影响，并为鱼类管理带来必要的水质变化。使用LF进行的评价没有显示出测量参数的自然变异性，这是一种对渔业生产进行环境监测的无效工具。
Aiming at the sustainability of aquaculture production, producers should adopt tools and protocols for environmental monitoring and management of these enterprises. There are currently issues concerning the efficacy of data collection procedures and limnological sampling at low frequency, which is widely used by managers and aquaculture surveillance agencies. In this context, the present study evaluated the effectiveness of high-frequency (HF) and low-frequency (LF) limnological monitoring. For the HF, autonomous data collection platforms (ADCP) were installed in a tropical reservoir, four ADCP in areas with fish production (WFP), and one ADCP in an area free of fish production (FFP, control). For both sampling methods, the temperature (Temp), pH, dissolved oxygen (DO), turbidity (Tbt), electrical conductivity (EC), and chlorophyll-a(Chl-a) were sampled at a depth of 1.5 m from the water surface. While the HF used a multiparameter probe, recording each parameter every 10 min, the LF method consisted of monthly data acquisitions of the same settings using water sampling techniques for further measurement in the laboratory. The comparison of the sampling frequency and methods revealed different profiles for all measured parameters during the monitored period. The average values of the daily amplitude of variation differed between the two monitoring strategies for water temperature, pH, DO, Tbt, and Chl-a. Comparison of the results showed that the HF limnological monitoring allowed us to create a more accurate variation profile of the water quality variables measured. The ADCP is a useful strategy that can be used to capture the influences of fish production and to bring essential water quality changes for fish management. The evaluations with LF did not demonstrate the natural variability of the measured parameters, being an ineffective tool for environmental monitoring of fish production.