Knowledge Transfer Platform FindFISH – Numerical Forecasting System for the Marine Environment of the Gulf of Gdańsk for Fisheries
Lidia Dzierzbicka-Głowacka,
Maciej Janecki,
Dawid Dybowski,
Artur Nowicki,
Agata Zaborska,
Piotr Pieckiel,
Michał Wójcik,
Tomasz Kuczyński,
Jacek Wittbrodt
Affiliations
Lidia Dzierzbicka-Głowacka
Institute 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.
Maciej Janecki
Institute of Oceanology, Polish Academy of Science, Sopot, Poland
Dawid Dybowski
Institute of Oceanology, Polish Academy of Science, Sopot, Poland
Artur Nowicki
Institute of Oceanology, Polish Academy of Science, Sopot, Poland
Agata Zaborska
Institute of Oceanology, Polish Academy of Science, Sopot, Poland
Piotr Pieckiel
Maritime Institute – Gdynia Maritime University, Gdynia, Poland
Michał Wójcik
Maritime Institute – Gdynia Maritime University, Gdynia, Poland; Gdańsk University of Technology, Gdańsk, Poland
Tomasz Kuczyński
Maritime Institute – Gdynia Maritime University, Gdynia, Poland
Jacek Wittbrodt
The Association of Marine Fishermen – Producers' Organization in Władysławowo, Poland
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.
