The forest sector is a key sector in the Russian economy. The existing demand for forest products on the part of domestic and foreign consumers contributes to a steady increase in the volume of logging. At the same time the restoration of forest resources is becoming increasingly important. Detailed elaboration of this issue is a critical factor in maintaining the trend of enhancing the economic performance of the forest complex in the long term, on the one hand, and in ensuring environmental safety, on the other hand. In Russia the task of reforestation is mainly delegated to the tenants of forest plots. Today the problem of strengthening their interest in ensuring the quality of the works they perform is of great importance. The main goal of the study, the findings of which are presented in our paper, is to determine the mechanisms of formation of tenant behavior models that affect decision-making on the implementation of reforestation. We use methods such as system approach, analysis and synthesis, generalization and comparison, classification and systematization. Research findings of our study consist in the substantiation of the increase in the share of artificial reforestation as a factor that ensures the growth of forest use efficiency, as well as the mechanisms of formation of tenants’ behavior in the planning and implementation of reforestation. We choose the forest complex of the Vologda Oblast as the main object for our study. Certain features of the current legislation are identified as the main problem of its potential development. In formulating our findings we use comparison with the models of the process of reforestation existing in Finland, where higher indicators of the qualitative composition of forests have been achieved. A distinctive feature of our study is its focus on the possibility of further application of its findings in the development of agent-based models. We carry out practical implementation of such models. With their help, it is possible to search for the most optimal solutions to determine the ways of shifting to a more effective model of reforestation
Keywords
reforestation, forest complex, agent-based modeling