Transcaucasian Vegetation Database - a phytosociological database of the Southern Caucasus

Warning

This publication doesn't include Faculty of Arts. It includes Faculty of Science. Official publication website can be found on muni.cz.
Authors

NOVÁK Pavel KALNÍKOVÁ Veronika SZOKALA Daniel ALEKSANYAN Alla BATSATSASHVILI Ketevan FAYVUSH George KOLBAIA Sandro NAKHUTSRISHVILI George SEDLÁČEK Vojtěch ŠTĚRBA Tadeáš ZUKAL Dominik

Year of publication 2023
Type Article in Periodical
Magazine / Source Vegetation Classification and Survey
MU Faculty or unit

Faculty of Science

Citation
Web https://doi.org/10.3897/VCS.105521
Doi http://dx.doi.org/10.3897/VCS.105521
Keywords biodiversity hotspot; Caucasus; database; European Vegetation Archive; Global Index of Vegetation-Plot Databases; phytosociology; southwestern Eurasia; vegetation survey
Description The Caucasus is a hotspot of global biodiversity. However, even in the era of big data, this region remains underrepresented in public vegetation-plot databases. The Transcaucasian Vegetation Database (GIVD code AS-00-005) is a novel dataset which primarily aims to compile, store and share vegetation-plot records sampled by the Braun-Blanquet approach and originating from Transcaucasia (the Southern Caucasus), i.e. the countries of Armenia, Azerbaijan and Georgia. The database currently contains 2,882 vegetation plots. The oldest plots originate from 1929, the newest from 2022, and their collection is ongoing. The data include mesophilous forests (phytosociological class Carpino-Fagetea) and various alpine and subalpine communities (e.g. Carici-Kobresietea, Loiseleurio-Vaccinietea) - selected other habitats are also represented. Most of the plots (84%) are georeferenced, 36% with high precision of 25 m or less. The database includes 2,500 taxon names; Asteraceae, Poaceae, Fabaceae and Rosaceae represent the most common families. Vascular plants are recorded in all plots, while data on species composition of bryophytes are available for 11% of plots. The database intends to contribute to the complex biodiversity research of this biologically unique territory. The data might be used in diverse projects in botany, biogeography, ecology and nature protection. © 2023 authors. All rights reserved.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.