Abstract.The existing POSEIDON compartment model, developed for modelling the dispersion of radionuclides in coastal areas for regular discharges was modified to be applicable in accidental conditions. One of the important modifications was the development of a generic uptake model for marine organisms to deal with short pulses of radionuclides after accidental releases in the coastal environment. A generic foodweb model to be used in die decision support system POSEIDON-R has been developed. Six key organisms represent the different trophic levels with identical physiological properties. To avoid the introduction of different compartments for the several organs in which radionuclides can accumulate, the so-called target tissue approach was followed. It is assumed that each radionuclide accumulates in a single specific tissue, (tie key tissue), and that the behaviour of this radionuclide is organ-and not radionuclide-dependent. To test tie reliability of this model, validation tests for various regions, and for several radionuclides, are required. Tests for the Baltic Sea and the Black Sea for the period after die Chernobyl accident in 1986 demonstrated a rather good agreement with tie measured data on radiocaesium. The model gave in some cases an overestimation, which is not unacceptable for the aim of decision support.

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The article descends in developing a legal framework for utilizing databases in forest beekeeping to resolve urgent beekeeping issues and improve the efficiency of its legal support. The goal was achieved basing on a systematic approach. To generalize the empirical data presented by statistical and economic indicators, authors applied methods of analysis, synthesis, and deduction as well. Combining both functional and modelling methods, authors developed legal patterns of databases. The authors confirmed that such problems of Russian beekeeping as poor development of industrial management, mass bees’ mortality caused by pesticides and agrochemicals, lack of qualified experts and expert laboratories to assist beekeepers in their economic activities cannot be solved without using the databases proposed in the study. The novelty and value of the research findings include highlighting the advantages of the development and implementation of databases of experts, beekeepers, expert organizations, pesticides, indicating active substances that are dangerous to bees and clinical signs of poisoning, using specific examples, which make possible qualitatively improving the economic activities, as well as increasing the efficiency of legal protection of the beekeeping producers’ interests in courts.

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