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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">tinro</journal-id><journal-title-group><journal-title xml:lang="ru">Известия ТИНРО</journal-title><trans-title-group xml:lang="en"><trans-title>Izvestiya TINRO</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1606-9919</issn><issn pub-type="epub">2658-5510</issn><publisher><publisher-name>ТИНРО</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26428/1606-9919-2023-203-443-463</article-id><article-id custom-type="edn" pub-id-type="custom">XCSYXY</article-id><article-id custom-type="elpub" pub-id-type="custom">tinro-847</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>МЕТОДИКА ИССЛЕДОВАНИЙ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>METHODS OF INVESTIGATIONS</subject></subj-group></article-categories><title-group><article-title>Оценка максимального устойчивого улова малоглазого макруруса Albatrossia pectoralis (Macrouridae) на Дальнем Востоке России на основе байесовской продукционной модели JABBA</article-title><trans-title-group xml:lang="en"><trans-title>Estimation of the maximum sustainable yield of giant grenadier  Albatrossia pectoralis (Macrouridae) in the Russian Far East  using Bayesian surplus production model JABBA</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0920-5312</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кулик</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kulik</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кулик Владимир Владимирович, кандидат биологических наук, заведующий лабораторией</p><p>690091, г. Владивосток, пер. Шевченко, 4</p></bio><bio xml:lang="en"><p>Vladimir V. Kulik, Ph.D., head of laboratory</p><p>4, Shevchenko Alley, Vladivostok, 690091</p></bio><email xlink:type="simple">vladimir.kulik@tinro.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4492-0867</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Алфёров</surname><given-names>А. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Alferov</surname><given-names>A. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Алфёров Андрей Иванович, ведущий специалист</p><p>690091, г. Владивосток, пер. Шевченко, 4</p></bio><bio xml:lang="en"><p>Andrey I. Alferov, leading specialist</p><p>4, Shevchenko Alley, Vladivostok, 690091</p></bio><email xlink:type="simple">andrey.alferov@tinro.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Горюнов</surname><given-names>М. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Goryunov</surname><given-names>M. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Горюнов Михаил Игоревич, ведущий специалист</p><p>690091, г. Владивосток, пер. Шевченко, 4</p></bio><bio xml:lang="en"><p>Mikhail I. Goryunov, leading specialist</p><p>4, Shevchenko Alley, Vladivostok, 690091</p></bio><email xlink:type="simple">mikhail.goryunov@tinro.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Тихоокеанский филиал ВНИРО (ТИНРО)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Pacific branch of VNIRO (TINRO)</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>01</day><month>07</month><year>2023</year></pub-date><volume>203</volume><issue>2</issue><fpage>443</fpage><lpage>463</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Кулик В.В., Алфёров А.И., Горюнов М.И., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Кулик В.В., Алфёров А.И., Горюнов М.И.</copyright-holder><copyright-holder xml:lang="en">Kulik V.V., Alferov A.I., Goryunov M.I.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://izvestiya.tinro-center.ru/jour/article/view/847">https://izvestiya.tinro-center.ru/jour/article/view/847</self-uri><abstract><p>На основе данных об истории уловов и индексах численности малоглазого макруруса впервые показаны статистические оценки межгодовой динамики промысловой биомассы и её эксплуатации по рыбопромысловым зонам на Дальнем Востоке России относительно ориентиров динамических моделей биомассы. Байесовский подход в JABBA позволил учесть априорные допущения о девственных биомассах, рассчитанных ранее по данным научных съёмок и экстраполированных на необследованные площади, ошибки в уловах и индексах численности, а также скорость мгновенного пополнения популяции (r) и изначальное истощение. Показано, что ни в одной зоне запасы ещё не переловлены, но в Западно-Беринговоморской (ЗБМ) проявилась отрицательная тенденция в динамике биомассы с 2015 г. Причина этого снижения согласно принятым допущениям заключается в реализации завышенного целевого ориентира по эксплуатации промысловой биомассы (φF = 0,1). Во всех зонах, кроме курильских, он оказался по медиане ниже 0,08, а при установлении объёмов допустимых уловов (ОДУ) многие годы использовали φF = 0,1. В ЗБМ зоне уловы превышали прибавочную продукцию долгое время: в 2012 г. и с 2015 г. Сумма медиан максимальных устойчивых уловов по зонам найдена около 47,4 тыс. т, что выше официальных уловов. В соседних зонах — ЗБМ и ВосточноКамчатской — параметр r оказался примерно равным как по медиане (0,086–0,085), так и по 95 %-ным доверительным интервалам (от 0,05 до 0,14). В курильских зонах параметр r был выше и максимален в Северо-Курильской зоне, что может свидетельствовать о более высоких темпах роста в них или внешнем притоке молоди. Следовательно, крайне важно уточнить популяционную структуру малоглазого макруруса, а до тех пор мы вынуждены продолжать оценку запасов в пределах рыболовных зон.</p></abstract><trans-abstract xml:lang="en"><p>Statistical estimates for the exploitable stock of giant grenadier are determined, by fishing zones in the Russian Far East, and interannual dynamics of the species biomass is considered using historical data on catches and abundance. The assessments relationship with reference points of the biomass dynamic models is examined for the first time. With using the Bayesian approach, a priori assumptions about virgin biomass, which were made earlier on results of scientific surveys extrapolated to unsurveyed areas, are accounted in JABBA model; some errors in the catch and abundance indices are revealed. The parameters of instantaneous rate of recruitment and initial depletion of population are determined. Overfishing is not detected yet in any fishing zone, but a negative trend of the biomass dynamics is noticed for the Western Bering Sea fishing zone since 2015 (if the stock estimations based on surveys are realistic). The decline is reasoned by implementation of too high target for exploitation rate of vulnerable biomass (φF = 0.10) that is higher than such target for other fishing zones (&lt; 0.08 or even 0.01 for the stocks exploited with the total allowable catch limits). That’s why annual catches exceeded the surplus production in the Western Bering Sea fishing zone in 2012 and since 2015 to nowadays. The sum of median estimations for the maximum sustainable yields in all fishing zones is about 47.4 . 103 t that exceeds the values of total annual catch. The instantaneous rate of recruitment is almost equal in the neighboring fishing zones in the western Bering Sea and at East Kamchatka (0.086–0.085 by median, with 95 % credible intervals from 0.05 to 0.14) and is much higher at Kuril Islands with the maximum in the North-Kuril fishing zone. The latter case is possibly conditioned by partially external recruitment. Therefore, population structure of giant grenadier should be clarified for correct modeling of the recruitment; until then, the stocks assessments by fishing zones are available.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>максимальный устойчивый улов</kwd><kwd>MSY</kwd><kwd>малоглазый макрурус</kwd><kwd>Берингово море</kwd><kwd>Охотское море</kwd><kwd>Курильские острова</kwd><kwd>JABBA</kwd><kwd>CPUE</kwd><kwd>GLM</kwd><kwd>GAM</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Bering Sea</kwd><kwd>Okhotsk Sea</kwd><kwd>Kuril Islands</kwd><kwd>giant grenadier</kwd><kwd>JABBA</kwd><kwd>maximum sustainable yield</kwd><kwd>catch</kwd><kwd>CPUE</kwd><kwd>GLM</kwd><kwd>GAM</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Алфёров А.И. 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