Lidia Dzierzbicka-Głowacka , Maciej Janecki , Dawid Dybowski , Artur Nowicki , Agata Zaborska , Piotr Pieckiel , Michał Wójcik , Tomasz Kuczyński , Jacek Wittbrodt
{"title":"知识转让平台 FindFISH - 格但斯克湾渔业海洋环境数值预报系统","authors":"Lidia Dzierzbicka-Głowacka , Maciej Janecki , Dawid Dybowski , Artur Nowicki , Agata Zaborska , Piotr Pieckiel , Michał Wójcik , Tomasz Kuczyński , Jacek Wittbrodt","doi":"10.1016/j.oceano.2024.01.004","DOIUrl":null,"url":null,"abstract":"<div><p>Fast access to expert knowledge is very valuable, especially in the context of decision-making. Fishermen can use this knowledge to diagnose hydrological and hydrochemical conditions in which fish stocks should be the most abundant. In response to this need, a digital service has been developed. It is a service created within the FindFISH project, which provides the results of all developed models: hydrodynamic, biochemical, and <em>Fish</em> – for selected commercially caught fish species (herring, sprats, cod, and flounder). Our research revealed that the FindFISH service can enhance fishing efficiency and quality by approximately 40%, significantly increasing expected profits. In practical applications, we observed a 50% to 70% concordance between the fishing grounds recorded by fishermen and those identified by the FindFISH Platform. The website runs dynamically in operational mode, allowing visualization of forecasts in the form of maps, time series, spatial data, and tables.</p></div>","PeriodicalId":54694,"journal":{"name":"Oceanologia","volume":"66 2","pages":"Pages 334-352"},"PeriodicalIF":2.6000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0078323424000058/pdfft?md5=d7bde2b8677dbee4dab9ad5c90e91011&pid=1-s2.0-S0078323424000058-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries\",\"authors\":\"Lidia Dzierzbicka-Głowacka , Maciej Janecki , Dawid Dybowski , Artur Nowicki , Agata Zaborska , Piotr Pieckiel , Michał Wójcik , Tomasz Kuczyński , Jacek Wittbrodt\",\"doi\":\"10.1016/j.oceano.2024.01.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Fast access to expert knowledge is very valuable, especially in the context of decision-making. Fishermen can use this knowledge to diagnose hydrological and hydrochemical conditions in which fish stocks should be the most abundant. In response to this need, a digital service has been developed. It is a service created within the FindFISH project, which provides the results of all developed models: hydrodynamic, biochemical, and <em>Fish</em> – for selected commercially caught fish species (herring, sprats, cod, and flounder). Our research revealed that the FindFISH service can enhance fishing efficiency and quality by approximately 40%, significantly increasing expected profits. In practical applications, we observed a 50% to 70% concordance between the fishing grounds recorded by fishermen and those identified by the FindFISH Platform. The website runs dynamically in operational mode, allowing visualization of forecasts in the form of maps, time series, spatial data, and tables.</p></div>\",\"PeriodicalId\":54694,\"journal\":{\"name\":\"Oceanologia\",\"volume\":\"66 2\",\"pages\":\"Pages 334-352\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0078323424000058/pdfft?md5=d7bde2b8677dbee4dab9ad5c90e91011&pid=1-s2.0-S0078323424000058-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oceanologia\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0078323424000058\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OCEANOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oceanologia","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0078323424000058","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries
Fast access to expert knowledge is very valuable, especially in the context of decision-making. Fishermen can use this knowledge to diagnose hydrological and hydrochemical conditions in which fish stocks should be the most abundant. In response to this need, a digital service has been developed. It is a service created within the FindFISH project, which provides the results of all developed models: hydrodynamic, biochemical, and Fish – for selected commercially caught fish species (herring, sprats, cod, and flounder). Our research revealed that the FindFISH service can enhance fishing efficiency and quality by approximately 40%, significantly increasing expected profits. In practical applications, we observed a 50% to 70% concordance between the fishing grounds recorded by fishermen and those identified by the FindFISH Platform. The website runs dynamically in operational mode, allowing visualization of forecasts in the form of maps, time series, spatial data, and tables.
期刊介绍:
Oceanologia is an international journal that publishes results of original research in the field of marine sciences with emphasis on the European seas.