Database Report

Database of the University of Münster - Biodiversity and Ecosystem Research Group’s Vegetation Research in Western Siberia and Kazakhstan

Wanja Mathar & Norbert Hölzel

GIVD Database ID: AS-RU-004	Last update: 2015-09-23
Database of the University of Münster - Biodiversity and Ecosystem Research Group’s Vegetation Research in Western Siberia and Kazakhstan	Web address: http://www.uni-muenster.de/Oekosystemforschung/en/index.shtml
Database manager(s): Wanja Mathar (w.mathar@uni-muenster.de); Norbert Hölzel (norbert.hoelzel@uni-muenster.de)
Owner: Wanja Mathar Norbert Hölzel Martin Freitag Kathrin Gottbehüt Annika Brinkert Johannes Kamp
Scope: The database contains relevés from research projects in Kazakhstan and Western Siberia (Tyumen oblast, Russia) sampled by members of the Biodiversity and Ecosystem Research Group at the Institute of Landscape Ecology – University of Münster. From 2012 to 2014, 289 relevés have been sampled within the project SASCHA in Western Siberia. These relevés cover near-natural grasslands (meadow-steppe, alkali grasslands, alluvial grasslands), birch forests, pine forests and mires. In 2011, 151 relevés have been sampled in natural steppe grasslands and on abandoned croplands within the project “Steppe ecosystems in Kazachstan” to study how fast abandoned croplands reconvert to steppe. Supplementary data on soil properties, land use, biomass and landscape structure (multi-temporal Landsat satellite image classification) are available for most sites. In addition, Lepidoptera, Locust and Avifauna have been sampled on a subset of the sites in the SASCHA project. Future updates will include >200 relevés of the project BALTRAK in Kazakhstan.
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Availability: not yet available	Online upload: no	Online search: no
Database format(s): TURBOVEG	Export format(s): TURBOVEG, Excel, plain text file
Plot type(s): normal plots	Plot-size range (m²): 100 to 100
Non-overlapping plots: 440	Estimate of existing plots: 0	Completeness: [NA]	Status: completed and continuing
Total no. of plot observations: 0	Number of sources (biblioreferences, data collectors): 1	Valid taxa: 0
Countries (%): RU: 66; KZ: 34
Formations: Forest: 28% = Terrestrial: 28% // Non Forest: 72% = Terrestrial: 72% (Non arctic-alpin: 72% [Natural: 14%; Semi-natural: 38%; Anthropogenic: 20%])
Guilds: all vascular plants: 72%; bryophytes (terricolous or aquatic): 11%; lichens (terricolous or aquatic): 11%
Plot size categories (%): 10-100 m2: 100%;
Environmental data (%): altitude: 100; slope aspect: 100; slope inclination: 100; surface cover other than plants (open soil, litter, bare rock etc.): 100; soil pH: 99; land use categories: 100; soil depth: 100; other attributes: soil electronic conductivity, soil type, soil C, N, P, K
Performance measure(s): cover: 100%; measurements like diameter or height of trees: 28%
Geographic localisation: GPS coordinates (precision 25 m or less): 100%
Sampling periods: 2000-2009: 34%; 2010-2019: 66%
Information as of 2026-06-14; further details and future updates available from http://www.givd.info/ID/AS-RU-004

Wanja Mathar* (w.mathar@uni-muenster.de)
Institute of Landscape Ecology - Working Group Ecosystem Research, University of Münster, Heisenbergstrasse 2, 48149 Münster, GERMANY
Norbert Hölzel (norbert.hoelzel@uni-muenster.de)
Institute of Landscape Ecology - Working Group Ecosystem Research, University of Münster, Heisenbergstrasse 2, 48149 Münster, GERMANY
* corresponding author