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...
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| Format: | Article |
| Language: | English |
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Institute of Oceanology of the Polish Academy of Sciences
2024-04-01
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| Series: | Oceanologia |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0078323424000058 |
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| author | Lidia Dzierzbicka-Głowacka Maciej Janecki Dawid Dybowski Artur Nowicki Agata Zaborska Piotr Pieckiel Michał Wójcik Tomasz Kuczyński Jacek Wittbrodt |
| author_facet | Lidia Dzierzbicka-Głowacka Maciej Janecki Dawid Dybowski Artur Nowicki Agata Zaborska Piotr Pieckiel Michał Wójcik Tomasz Kuczyński Jacek Wittbrodt |
| author_sort | Lidia Dzierzbicka-Głowacka |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-40895a197c5c43e9a161855d8795cc4a |
| institution | Kabale University |
| issn | 0078-3234 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | Institute of Oceanology of the Polish Academy of Sciences |
| record_format | Article |
| series | Oceanologia |
| spelling | doaj-art-40895a197c5c43e9a161855d8795cc4a2025-08-20T03:55:33ZengInstitute of Oceanology of the Polish Academy of SciencesOceanologia0078-32342024-04-0166233435210.1016/j.oceano.2024.01.004Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for FisheriesLidia Dzierzbicka-Głowacka0Maciej Janecki1Dawid Dybowski2Artur Nowicki3Agata Zaborska4Piotr Pieckiel5Michał Wójcik6Tomasz Kuczyński7Jacek Wittbrodt8Institute of Oceanology, Polish Academy of Science, Sopot, Poland; Corresponding author at: Institute of Oceanology, Polish Academy of Sciences, Powstańców Warszawy 55, 81–712 Sopot, Poland.Institute of Oceanology, Polish Academy of Science, Sopot, PolandInstitute of Oceanology, Polish Academy of Science, Sopot, PolandInstitute of Oceanology, Polish Academy of Science, Sopot, PolandInstitute of Oceanology, Polish Academy of Science, Sopot, PolandMaritime Institute – Gdynia Maritime University, Gdynia, PolandMaritime Institute – Gdynia Maritime University, Gdynia, Poland; Gdańsk University of Technology, Gdańsk, PolandMaritime Institute – Gdynia Maritime University, Gdynia, PolandThe Association of Marine Fishermen – Producers' Organization in Władysławowo, PolandFast 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.http://www.sciencedirect.com/science/article/pii/S0078323424000058Sustainable fishingNumerical modelingForecasting habitat |
| spellingShingle | Lidia Dzierzbicka-Głowacka Maciej Janecki Dawid Dybowski Artur Nowicki Agata Zaborska Piotr Pieckiel Michał Wójcik Tomasz Kuczyński Jacek Wittbrodt Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries Oceanologia Sustainable fishing Numerical modeling Forecasting habitat |
| title | Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries |
| title_full | Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries |
| title_fullStr | Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries |
| title_full_unstemmed | Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries |
| title_short | Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries |
| title_sort | knowledge transfer platform findfish numerical forecasting system for the marine environment of the gulf of gdansk for fisheries |
| topic | Sustainable fishing Numerical modeling Forecasting habitat |
| url | http://www.sciencedirect.com/science/article/pii/S0078323424000058 |
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