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Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries
Abstract
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 pro- vides 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.
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Authors (9)
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Lidia Anita Dzierzbicka-Glowacka
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Maciej Janecki mgr
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Dawid Dybowski
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Artur Nowicki
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Agata Zaborska
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Piotr Pieckiel
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Tomasz Kuczyński
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Jacek Wittbrodt
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
OCEANOLOGIA
no. 66,
pages 334 - 352,
ISSN: 0078-3234 - Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Dzierzbicka-Glowacka L. A., Janecki M., Dybowski D., Nowicki A., Zaborska A., Pieckiel P., Wójcik M., Kuczyński T., Wittbrodt J.: Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries// OCEANOLOGIA -,iss. 2 (2024), s.334-352
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.oceano.2024.01.004
- Sources of funding:
-
- Publikacja finansowana przez IO PAN.
- Verified by:
- Gdańsk University of Technology
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