The project under the leadership of the Director of the Department of Aquatic Bioresources and their Habitat, PhD in Geographical Sciences Kirill Kivva "Phenology of the Spring "Bloom" of Phytoplankton in the Subarctic Seas and Its Predictors Using the Bering Sea as an Example" is aimed at establishing the nature and patterns of variability in the timing of phytoplankton "bloom" in the subarctic seas. It implies the development of phenology approaches as a system of knowledge about seasonal natural phenomena as applied to marine ecosystems. For the first time, the project will allow for a quantitative characterization of the influence of a number of physical factors in the atmosphere and ocean on the characteristics of the spring "bloom" of phytoplankton in an important fishing region - the Bering Sea. Its implementation is important for developing ideas about the variability of phytoplankton "blooms", and, consequently, for a reasoned assessment of the state of all links in the food chain. The authors plan to use the results of the project to improve approaches to forecasting the stocks of a number of commercial fish species, in particular, such as herring and Pacific salmon.
Under the supervision of the head of the Sturgeon Department, candidate of biological sciences Dmitry Bityutsky, work will be carried out on the topic "Development of an approach to assessing the dynamics of the Russian sturgeon population in the Azov Sea using artificial intelligence methods". This is a joint project of the Sturgeon Department of VNIRO and the Center for Digitalization of Fisheries Research of the Azov-Black Sea Branch of VNIRO. It is aimed at developing the application of machine learning technologies in solving problems of commercial ichthyology and rational nature management. During the project, it is planned to prepare methodological recommendations for the practical application of the developed method in the tasks of short-term forecasting of the dynamics of the population of the studied species and the volumes of its possible catch. The methodological recommendations and their practical testing will significantly increase the reliability and accuracy of forecasting the depleted, currently non-commercial, population of Russian sturgeon in the Sea of Azov.
The VNIRO team congratulates the scientific groups of Dmitry Bityutsky and Kirill Kivva on their victories in the prestigious RSF competition and wishes them successful research on new topics.
VNIRO Press Service
