Botany

The Laboratory of Natural Flora of the GBS RAS is organized with the aim of studying the diversity of the flora of Russia and neighboring countries, developing theoretical foundations and methods of plant introduction, their protection and practical use.

The laboratory conducts comprehensive research using a wide range of research methods and approaches in the field of cell biology and molecular genetics of development: - modern methods of light, fluorescent and confocal laser scanning microscopy; - analysis of gene expression by PCR in real time; - cloning of genes of interest and localization of their expression at the cellular level; - obtaining transgenic plants using agrobacterial transformation; - genetic editing of CRISPR/Cas9.

Study of flora and vegetation of Arctic and mountainous regions; study of biodiversity of plants, fungi, lichens, algae; study of systematics and phylogeny of plants.

Botanical Garden - live collections

Systematics and geography of vascular plants

Assessment of the state and dynamics of meadow phytocenoses of the Central Caucasus; Classification and inventory of the diversity of types of plant communities of mountainous territories on the example of the North Caucasus.

We study the vegetation cover in all its manifestations on a scale from local to global and the factors that determine its development and evolution. We use a whole range of approaches for this: from classical (many geobotanical descriptions - ordination - classification - bioclimatic modeling) to the avant-garde (big data, new computing systems, deep machine learning, neural networks, a lot of Earth remote sensing materials). We try to extract information about the state and development of terrestrial ecosystems from soil samples, age cores, huge sample areas, spectral responses and patterns. Significant results were obtained in the fields of vegetation diversity research, bioclimatic modeling, SDM, reconstruction of tropical cyclone activity based on historical violations of stands, automatic identification of different types of violations and tree species from ultra-high resolution images. Join us.