Transcaucasian Vegetation Database - a phytosociological database of the Southern Caucasus

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Publikace nespadá pod Fakultu sportovních studií, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.
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NOVÁK Pavel KALNÍKOVÁ Veronika SZOKALA Daniel ALEKSANYAN Alla BATSATSASHVILI Ketevan FAYVUSH George KOLBAIA Sandro NAKHUTSRISHVILI George SEDLÁČEK Vojtěch ŠTĚRBA Tadeáš ZUKAL Dominik

Rok publikování 2023
Druh Článek v odborném periodiku
Časopis / Zdroj Vegetation Classification and Survey
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://doi.org/10.3897/VCS.105521
Doi http://dx.doi.org/10.3897/VCS.105521
Klíčová slova biodiversity hotspot; Caucasus; database; European Vegetation Archive; Global Index of Vegetation-Plot Databases; phytosociology; southwestern Eurasia; vegetation survey
Popis 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.
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