JOURNAL ARTICLE
National vegetation database of Montenegro.
Published In: Phytocoenologia, 2023, v. 51, n. 4. P. 303 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Stanišić-Vujačić, Milica; Stešević, Danijela; Caković, Danka; Šilc, Urban 3 of 3
Abstract
The Vegetation Database of Montenegro (GIVD ID EU-ME-001) is national database established in 2019 at Faculty of Natural Sciences and Mathematics (University of Montenegro) in Podgorica. A digitized collection of vegetation relevés comprises different vegetation types which have been sampled on the territory of the Montenegro. So far, 3293 published (50.9%) and unpublished (49.1%) vegetation plots are stored in Vegetation Database of Montenegro. In total, it contains 2733 taxa (vascular plants, mosses, lichens, algae), while 2612 taxa is referred to vascular plants. The largest amount of vegetation data in the field was collected during two periods: from 1960 to 1969 and after the year 2010. The oldest relevé dates from 1933 (Horvat, the vegetation of Durmitor mountain). The majority of vegetation plots (63.4%) have precise date of sampling. All plots are georeferenced; for most of the relevés coordinates were determined a posteriori, because only 35% relevés have originally published coordinates. Range of the plots size is from 0.12 m² to 7000 m², while most of the relevés have plot size from 26 to 100 m². For 8.74% of relevés the data on plot size is missing. More than half of vegetation plots were sampled in sub-montane and montane areas. Highest number of relevés was originally classified to the forest vegetation types (classes Quercetea pubescentis and Carpino-Fagetea sylvaticae) and grasslands (Molinio-Arrhenatheretea and Festuco-Brometea). The database is part of the European Vegetation Archive (EVA) and has a semi-restricted access mode. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Phytocoenologia. 2023/10, Vol. 51, Issue 4, p303
- Document Type:Article
- Subject Area:Geography and Cartography
- Publication Date:2023
- ISSN:0340-269X
- DOI:10.1127/phyto/2023/0406
- Accession Number:172317625
- Copyright Statement:Copyright of Phytocoenologia is the property of E. Schweizerbart'sche Verlagsbuchhandlung and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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