{"title":"从长度-频率数据估计黄鳍金枪鱼生长参数的精度","authors":"Wiwiet Teguh Taufani, Takashi Fritz Matsuishi","doi":"10.1111/fme.12781","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Over 60% of the world's fish stocks suffer from limited data, which hampers effective fisheries management. Researchers have developed stock assessment methods for data-limited fisheries using length-frequency data, but reliability was questionable and not well researched. We evaluated the precision of the widely used length-based method ELEFAN using 24 months of length-frequency data from 14,190 individual yellowfin tuna and sequential and interval data fractions. Using bootstrapping (1000 times) and data reduction, growth parameters and precision <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>L</mi>\n <mo>∞</mo>\n </msub>\n </mrow>\n </semantics></math>, <span></span><math>\n <semantics>\n <mrow>\n <mi>K</mi>\n </mrow>\n </semantics></math>, and <i>Φ</i>′ were estimated. The CVs of <span></span><math>\n <semantics>\n <mrow>\n <msub>\n <mi>L</mi>\n <mo>∞</mo>\n </msub>\n </mrow>\n </semantics></math>, <span></span><math>\n <semantics>\n <mrow>\n <mi>K</mi>\n </mrow>\n </semantics></math>, and <i>Φ</i>′ were 2.55%, 23.04%, and 2.35%, respectively. From the result of data reduction, at least once in 1 or 2 months and 12 times measurements with 500 data per measurement on average is recommended for achieving high precision with CV of <i>Φ</i>′ < 3%.</p>\n </div>","PeriodicalId":50444,"journal":{"name":"Fisheries Management and Ecology","volume":"32 4","pages":"50-58"},"PeriodicalIF":2.0000,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Precision of Estimated Growth Parameters of Yellowfin Tuna (Thunnus albacares) From Length-Frequency Data Estimated by Bootstrapping\",\"authors\":\"Wiwiet Teguh Taufani, Takashi Fritz Matsuishi\",\"doi\":\"10.1111/fme.12781\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Over 60% of the world's fish stocks suffer from limited data, which hampers effective fisheries management. Researchers have developed stock assessment methods for data-limited fisheries using length-frequency data, but reliability was questionable and not well researched. We evaluated the precision of the widely used length-based method ELEFAN using 24 months of length-frequency data from 14,190 individual yellowfin tuna and sequential and interval data fractions. Using bootstrapping (1000 times) and data reduction, growth parameters and precision <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mi>L</mi>\\n <mo>∞</mo>\\n </msub>\\n </mrow>\\n </semantics></math>, <span></span><math>\\n <semantics>\\n <mrow>\\n <mi>K</mi>\\n </mrow>\\n </semantics></math>, and <i>Φ</i>′ were estimated. The CVs of <span></span><math>\\n <semantics>\\n <mrow>\\n <msub>\\n <mi>L</mi>\\n <mo>∞</mo>\\n </msub>\\n </mrow>\\n </semantics></math>, <span></span><math>\\n <semantics>\\n <mrow>\\n <mi>K</mi>\\n </mrow>\\n </semantics></math>, and <i>Φ</i>′ were 2.55%, 23.04%, and 2.35%, respectively. From the result of data reduction, at least once in 1 or 2 months and 12 times measurements with 500 data per measurement on average is recommended for achieving high precision with CV of <i>Φ</i>′ < 3%.</p>\\n </div>\",\"PeriodicalId\":50444,\"journal\":{\"name\":\"Fisheries Management and Ecology\",\"volume\":\"32 4\",\"pages\":\"50-58\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fisheries Management and Ecology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/fme.12781\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FISHERIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fisheries Management and Ecology","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/fme.12781","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FISHERIES","Score":null,"Total":0}
Precision of Estimated Growth Parameters of Yellowfin Tuna (Thunnus albacares) From Length-Frequency Data Estimated by Bootstrapping
Over 60% of the world's fish stocks suffer from limited data, which hampers effective fisheries management. Researchers have developed stock assessment methods for data-limited fisheries using length-frequency data, but reliability was questionable and not well researched. We evaluated the precision of the widely used length-based method ELEFAN using 24 months of length-frequency data from 14,190 individual yellowfin tuna and sequential and interval data fractions. Using bootstrapping (1000 times) and data reduction, growth parameters and precision , , and Φ′ were estimated. The CVs of , , and Φ′ were 2.55%, 23.04%, and 2.35%, respectively. From the result of data reduction, at least once in 1 or 2 months and 12 times measurements with 500 data per measurement on average is recommended for achieving high precision with CV of Φ′ < 3%.
期刊介绍:
Fisheries Management and Ecology is a journal with an international perspective. It presents papers that cover all aspects of the management, ecology and conservation of inland, estuarine and coastal fisheries.
The Journal aims to:
foster an understanding of the maintenance, development and management of the conditions under which fish populations and communities thrive, and how they and their habitat can be conserved and enhanced;
promote a thorough understanding of the dual nature of fisheries as valuable resources exploited for food, recreational and commercial purposes and as pivotal indicators of aquatic habitat quality and conservation status;
help fisheries managers focus upon policy, management, operational, conservation and ecological issues;
assist fisheries ecologists become more aware of the needs of managers for information, techniques, tools and concepts;
integrate ecological studies with all aspects of management;
ensure that the conservation of fisheries and their environments is a recurring theme in fisheries and aquatic management.