CircumMed Pine Forest Database: an electronic archive for Mediterranean and Submediterranean pine forest vegetation data

Investor logo

Warning

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

BONARI Gianmaria KNOLLOVÁ Ilona VLČKOVÁ Pavla XYSTRAKIS Fotios COBAN Suleyman SAGLAM Coskun DIDUKH Yakiv P. HENNEKENS Stephan M. ACOSTA Alicia T. R. ANGIOLINI Claudia BERGMEIER Erwin BERTACCHI Andrea COSTA Jose C. FANFARILLO Emanuele GIGANTE Daniela GUARINO Riccardo LANDI Marco NETO CARLOS S. Carlos S. PESARESI Simone ROSATI Leonardo SELVI Federico SOTIRIOU Alexandros STINCA Adriano TURCATO Claudia TZONEV Rossen VICIANI Daniele CHYTRÝ Milan

Year of publication 2019
Type Article in Periodical
Magazine / Source Phytocoenologia
MU Faculty or unit

Faculty of Science

Citation
web Full Text
Doi http://dx.doi.org/10.1127/phyto/2019/0311
Keywords CircumMed Pine Forest Database; European Vegetation Archive (EVA); forest vegetation; Mediterranean Basin; phytosociology; pine forest; Pinus; releve; Turboveg; vegetation plot
Description Large thematic databases of vegetation plots are increasingly needed for vegetation studies and biodiversity research. In this paper, we present the CircumMed Pine Forest Database (GIVD ID: EU-00-026), which in November 2018, comprised records from 6317 pine-dominated vegetation plots (releves) and associated vegetation types from 20 countries of the Mediterranean Basin, Near East and Crimea. These vegetation plots were collected through a detailed literature search for plots not previously included in the European Vegetation Archive (EVA), in order to fill geographic gaps in data coverage. The database comprises Mediterranean (including Oromediterranean) pine-forest vegetation plots from both published and unpublished sources. All vegetation plots are georeferenced, although coordinates vary in accuracy. The database is accessible through EVA or from its Custodian. We anticipate the CircumMed Pine Forest Database will be a valuable resource for various types of broad-scale studies in the fields of vegetation classification, plant invasion ecology, macroecology and biological conservation.
Related projects:

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