The success of forest management depends to a large extent on the ecological classification on which it is based [1]. The purpose of this work is to review the current state, priority lines of development and unresolved problems of the original directions of ecological classification: genetic and dynamic forest typologies. Articles in journals on genetic and dynamic forest typologies from the past 10 years were selected and analyzed. Since its inception, genetic forest typology has focused on the study and classification of forests with complex structure and dynamics, and the use of new data analysis methods. The dynamic forest typology was originally developed to classify the disturbed vegetation of northern areas, which have relatively simple structures and dynamics. The current priority research areas of genetic and dynamic forest typology are the improvement of the conceptual and methodological bases of accounting in classification units for forest dynamics; the development of systems of regional classification of disturbed territories for their restoration; and the improvement of the methodology for identifying forest types based on the remote sensing of territories and modern data analysis methods. Currently, these typologies are being developed in parallel, using their scientific basis as well as the strengths of the European forest ecological classifications and the Braun–Blanquet approach. These typologies are of key importance for forest management in the Russian Federation and have great potential for further development under conditions of climate change and anthropogenic impacts.
This research was funded by the state assignment of the Institute Botanic Garden, the Ural Branch of the Russian Academy of Sciences.
References
- Ivanova, N.; Fomin, V.; Kusbach, A. Experience of Forest Ecological Classification in Assessment of Vegetation Dynamics. Sustainability 2022, 14, 3384. https://doi.org/10.3390/su14063384
