A new approach to assessing and forecasting the stock of sprat in the Baltic Sea in modern conditions

V. Amosova, A. Zezera
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Abstract

The aim of this article: analysis of information and software for forecasting of the Baltic Sea sprat stock Sprattus sprattus balticus at 22–32 ICES subdivisions in the context of the suspension of Russia’s activities in the International Council for the Exploration of the Sea (ICES).Methods used: The data of estimates of sprat abundance and biomass by hydroacoustic methods, commercial and biostatistical characteristics of the species were used to assess the stock and predict its catch in the Baltic Sea. Estimation of the sprat stock was carried out using the traditional method of virtual population analysis (VPA) adjusted according to the method of extended survival analysis (XSA) using the internationally approved VPA module software within the framework of ICES and the R software environment. The recruitment calibration program RCT3 (Recruitment calibration) was used for the abundance of recruitment (age 1 year) according to XSA and forecast. A multivariate short-term forecast was carried out at different levels of development of the total allowable catch (TAC) under the MFDP program (Multi Fleet Deterministic Projection). As an alternative, the domestic software «KAFKA» was tested.Novelty: for the first time, estimates of the sprat stock were made in the conditions of limited access of Russian specialists to primary data in ICES in full.Result: modern methodological and informational support of scientific research in the Baltic Sea in the conditions of the suspension of the activities of Russian experts in ICES makes it possible to obtain information in the minimum necessary amount for assessing the stock of sprat and predicting its catch. Modeling with the «KAFKA» software showed satisfactory results.Practical significance: The current level of information support for forecasting the state of the stock and catch of sprat in the Baltic Sea will allow solving a complex of problems of managing this resource in modern conditions.
在现代条件下评估和预测波罗的海鲱鱼存量的新方法
本文的目的:在俄罗斯暂停在国际海洋考察理事会(ICES)活动的背景下,分析国际海洋考察理事会 22-32 个分区的波罗的海鲱鱼种群 Sprattus sprattus balticus 的信息和预测软件:采用的方法:利用水声方法估算的鲱鱼丰度和生物量数据、该物种的商业和生物统计特征来评估种群并预测其在波罗的海的捕捞量。鲱鱼种群的估算采用了传统的虚拟种群分析(VPA)方法,并根据扩展生存分析(XSA)方法进行了调整,该方法是在国际海洋考察理事会(ICES)框架内使用国际认可的虚拟种群分析模块软件和 R 软件环境进行的。根据 XSA 和预测方法,使用补充量校准程序 RCT3(补充量校准)计算补充量(1 岁)。在 MFDP 程序(多船队确定性预测)下,对不同发展水平的总可捕量(TAC)进行了多变量短期预测。结果:在俄罗斯专家暂停国际海洋考察理事会活动的条件下,波罗的海科学研究的现代方法和信息支持使得有可能获得评估鲱鱼种群和预测其渔获量所需的最低信息量。使用 "KAFKA "软件建模的结果令人满意:目前预测波罗的海鲱鱼种群和渔获量的信息支持水平将有助于解决在现代条件下管理这一资源的复杂问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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