Bonari Gianmaria, Ilona Knollová, P. Vlčková, F. Xystrakis, S. Çoban, C. Sağlam, Y. Didukh, S. Hennekens, A. Acosta, C. Angiolini, E. Bergmeier, Andrea Bertacchi, J. Costa, E. Fanfarillo, D. Gigante, R. Guarino, M. Landi, C. Neto, S. Pesaresi, L. Rosati, F. Selvi, A. Sotiriou, A. Stinca, C. Turcato, R. Tzonev, D. Viciani, M. Chytrý
{"title":"CircumMed Pine Forest Database: an electronic archive for Mediterranean and Submediterranean pine forest vegetation data","authors":"Bonari Gianmaria, Ilona Knollová, P. Vlčková, F. Xystrakis, S. Çoban, C. Sağlam, Y. Didukh, S. Hennekens, A. Acosta, C. Angiolini, E. Bergmeier, Andrea Bertacchi, J. Costa, E. Fanfarillo, D. Gigante, R. Guarino, M. Landi, C. Neto, S. Pesaresi, L. Rosati, F. Selvi, A. Sotiriou, A. Stinca, C. Turcato, R. Tzonev, D. Viciani, M. Chytrý","doi":"10.1127/PHYTO/2019/0311","DOIUrl":null,"url":null,"abstract":"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The database comprises Mediterranean (including Oromediterranean) pine-forest vegetation plots from both published and unpublished sources.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.","PeriodicalId":54607,"journal":{"name":"Phytocoenologia","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2019-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1127/PHYTO/2019/0311","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Phytocoenologia","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1127/PHYTO/2019/0311","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 7
Abstract
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.
期刊介绍:
Phytocoenologia is an international, peer-reviewed journal of plant community ecology. It is devoted to vegetation survey and classification at any organizational and spatial scale and without restriction to certain methodological approaches. The journal publishes original papers that develop new vegetation typologies as well as applied studies that use such typologies, for example, in vegetation mapping, ecosystem modelling, nature conservation, land use management or monitoring. Particularly encouraged are methodological studies that design and compare tools for vegetation classification and mapping, such as algorithms, databases and nomenclatural principles. Papers dealing with conceptual and theoretical bases of vegetation survey and classification are also welcome. While large-scale studies are preferred, regional studies will be considered when filling important knowledge gaps or presenting new methods.