Database Report

Database of Siberian Vegetation (DSV)

Andre&#1091; Korolyuk & Andrei Zverev

GIVD Database ID: AS-RU-002	Last update: 2018-11-09
Database of Siberian Vegetation (DSV)	Web address:
Database manager(s): Andre&#1091; Korolyuk (akorolyuk@rambler.ru); Andrei Zverev (ibiss@rambler.ru)
Owner: Central Siberian Botanical Garden SB RAS, Tomsk State University
Scope: Database of Siberian Vegetation (DSV) includes ca. 31000 relevés of forest, steppe, meadow, wetland, tundra and high mountain vegetation, psammophyte, petrophyte and halophyte communities from various regions of Siberia plus not numerous relevés sets from Inner Mongolia province of China and Kazakhstan Republic. The database relevés represent the vegetation of the most part of diversity of Siberian habitats, special emphasis is done on zonal ecosystems (steppes, forests, meadows)
Abstract: First variant of Database of Siberian Vegetation (DSV) was created in 1994 in the Laboratory of Geobotany of Central Siberian Botanical Garden of Siberian Branch of RAS (CSBG SB RAS). Now it is located in Geosystem research laboratory of CSBG SB RAS and in Tomsk State University. DSV contains geobotanical relevés from Western and Eastern Siberia (incl. Republic Sakha – Yakutia), Altai-Sayan Mountain Country and Transbaicalia. Relevés sets from Inner Mongolia province of China and north of Kazakhstan Republic are also included but not numerous. Main part of database represents different types of steppe communities: meadow steppes, typical and desertified steppes, cryophyte steppes. Numerous sets comprise forests, meadows and wetlands as well as diverse intrazonal vegetation developed on rocky, sandy and salty habitats. The main purposes of database are developing of syntaxonomy of North Asia, analyzing of biogeography features of Siberian flora and vegetation, developing of plant indicator values and ecological analysis of vegetation, vegetation mapping based on remote sensing data and creation of GIS. DSV is supported by IBIS software (Integrated Botanical Information System) which provides data storage, data analysis and data exchange
Availability: according to a specific agreement	Online upload: no	Online search: no
Database format(s): other, IBIS	Export format(s): TURBOVEG, Excel, PDF, CSV file, plain text file, other, IBIS exchange file
Plot type(s): normal plots	Plot-size range (m²): 4 to 2500
Non-overlapping plots: 30611	Estimate of existing plots: 35350	Completeness: 87%	Status: ongoing capture
Total no. of plot observations: 30611	Number of sources (biblioreferences, data collectors): 47	Valid taxa: 3564
Countries (%): RU: 97.4; CN: 1.1; KZ: 1.4
Formations: Forest: 25% = Semi-aquatic: 1%; Terrestrial: 23% // Non Forest: 75% = Aquatic: 3% (Fresh water: 3%); Semi-aquatic: 15% (Haline water: 1%; Fresh water: 15%); Terrestrial: 58% (Arctic-alpin: 4%; Non arctic-alpin: 54% [Natural: 37%; Semi-natural: 15%; Anthropogenic: 2%])
Guilds: all vascular plants: 100%; bryophytes (terricolous or aquatic): 28%; lichens (terricolous or aquatic): 4%; non-terricolous taxa (epiphytic, saxicolous, lignicolous): 1%
Plot size categories (%): < 1 m2: 0%; 1-10 m2: 9.4%; 10-100 m2: 14.2%; 100-1000 m2: 75.0%; 1000-10000 m2: 0.1%; >= 10000 m2: 0%; unknowmn: 1.3%;
Environmental data (%): altitude: 31.1; slope aspect: 56.2; slope inclination: 56.2; microrelief: 67.3; surface cover other than plants (open soil, litter, bare rock etc.): 13.1; other soil attributes: 19.5; soil pH: 4.4; land use categories: 3.8; soil depth: 6.6; other attributes: peat layer thickness - 2.3% electrical conductivity of ground water - 5.4%
Performance measure(s): presence/absence only: 0%; cover: 100%; number of individuals: 0%; measurements like diameter or height of trees: 65%; biomass: 0%; other: 0%
Geographic localisation: GPS coordinates (precision 25 m or less): 39.3%; point coordinates less precise than GPS, up to 1 km: 22.6%; small grid (not coarser than 10 km): 26.9%; political units or only on a coarser scale ( above 10 km): 11.2%
Sampling periods: before 1920: 0%; 1920-1929: 0%; 1930-1939: 0%; 1940-1949: 0.2%; 1950-1959: 0.7%; 1960-1969: 0.8%; 1970-1979: 9.7%; 1980-1989: 10.6%; 1990-1999: 31.9%; 2000-2009: 36.2%; 2010-2019: 9.5%; unknown: 0.4%
Information as of 2026-04-22; further details and future updates available from http://www.givd.info/ID/AS-RU-002

Andre&#1091; Korolyuk* (akorolyuk@rambler.ru)
Geosystem research laboratory, Central Siberian Botanical Garden SB RAS, Zolotodolinskaya str., 101, 630090 Novosibirsk, RUSSIA
Andrei Zverev (ibiss@rambler.ru)
Department of Botany, Tomsk State University, Lenin str., 36, 634050 Tomsk, RUSSIA
* corresponding author