CircumMed+Euro pine forest database: an electronic archive for Mediterranean and European forests

Large thematic databases of vegetation-plots are increasingly needed for vegetation studies and biodiversity research. In this paper, we present the CircumMed+Euro Pine Forest Database (GIVD ID: EU-00-026), which in September 2018 encompassed 5590 records from pine-dominated vegetation plots (relevés) and associated vegetation types from 23 countries of temperate Europe, Eastern Mediterranean and North Africa. These vegetation plots were collected through a detailed literature search for plots not included in the European Vegetation Archive (EVA). The database includes plots from 192 bibliographic references and unpublished vegetation plots by different authors. All vegetation plots are georeferenced, and coordinates are available with different accuracy as reported by the authors. The database is managed by the Vegetation Science Group, Department of Botany and Zoology of the Masaryk University in Brno (Czech Republic). It is registered in the Global Index of Vegetation-Plot Databases (GIVD) with the code EU-00-026 and is accessible through the European Vegetation Archive (EVA) or by asking the Custodian. The CircumMed+Euro Pine Forest Database is an important resource for conducting different types of broad-scale studies in the fields of vegetation classification, plant invasion ecology, macroecology and biological conservationN/

Vegetation of Europe: hierarchical floristic classification system of vascular plant, bryophyte, lichen, and algal communities

Vegetation classification consistent with the Braun-Blanquet approach is widely used in Europe for applied vegetation science, conservation planning and land management. During the long history of syntaxonomy, many concepts and names of vegetation units have been proposed, but there has been no single classification system integrating these units. Here we (1) present a comprehensive, hierarchical, syntaxonomic system of alliances, orders and classes of Braun-Blanquet syntaxonomy for vascular plant, bryophyte and lichen, and algal communities of Europe; (2) briefly characterize in ecological and geographic terms accepted syntaxonomic concepts; (3) link available synonyms to these accepted concepts; and (4) provide a list of diagnostic species for all classes. Location: European mainland, Greenland, Arctic archipelagos (including Iceland, Svalbard, Novaya Zemlya), Canary Islands, Madeira, Azores, Caucasus, Cyprus. Methods: We evaluated approximately 10 000 bibliographic sources to create a comprehensive list of previously proposed syntaxonomic units. These units were evaluated by experts for their floristic and ecological distinctness, clarity of geographic distribution and compliance with the nomenclature code. Accepted units were compiled into three systems of classes, orders and alliances (EuroVegChecklist, EVC) for communities dominated by vascular plants (EVC1), bryophytes and lichens (EVC2) and algae (EVC3). Results: EVC1 includes 109 classes, 300 orders and 1108 alliances; EVC2 includes 27 classes, 53 orders and 137 alliances, and EVC3 includes 13 classes, 24 orders and 53 alliances. In total 13 448 taxa were assigned as indicator species to classes of EVC1, 2087 to classes of EVC2 and 368 to classes of EVC3. Accepted syntaxonomic concepts are summarized in a series of appendices, and detailed information on each is accessible through the software tool EuroVegBrowser. Conclusions: This paper features the first comprehensive and critical account of European syntaxa and synthesizes more than 100 yr of classification effort by European phytosociologists. It aims to document and stabilize the concepts and nomenclature of syntaxa for practical uses, such as calibration of habitat classification used by the European Union, standardization of terminology for environmental assessment, management and conservation of nature areas, landscape planning and education. The presented classification systems provide a baseline for future development and revision of European syntaxonomy.info:eu-repo/semantics/publishedVersio

EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats

Aim: The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation‐plot records to the habitats of the EUNIS system, use it to classify a European vegetation‐plot database, and compile statistically‐derived characteristic species combinations and distribution maps for these habitats. Location: Europe. Methods: We developed the classification expert system EUNIS‐ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each habitat was formally defined as a formula in a computer language combining algebraic and set‐theoretic concepts with formal logical operators. We applied this expert system to classify 1,261,373 vegetation plots from the European Vegetation Archive (EVA) and other databases. Then we determined diagnostic, constant and dominant species for each habitat by calculating species‐to‐habitat fidelity and constancy (occurrence frequency) in the classified data set. Finally, we mapped the plot locations for each habitat. Results: Formal definitions were developed for 199 habitats at Level 3 of the EUNIS hierarchy, including 25 coastal, 18 wetland, 55 grassland, 43 shrubland, 46 forest and 12 man‐made habitats. The expert system classified 1,125,121 vegetation plots to these habitat groups and 73,188 to other habitats, while 63,064 plots remained unclassified or were classified to more than one habitat. Data on each habitat were summarized in factsheets containing habitat description, distribution map, corresponding syntaxa and characteristic species combination. Conclusions: EUNIS habitats were characterized for the first time in terms of their species composition and distribution, based on a classification of a European database of vegetation plots using the newly developed electronic expert system EUNIS‐ESy. The data provided and the expert system have considerable potential for future use in European nature conservation planning, monitoring and assessment

<scp>ReSurveyEurope</scp>: A database of resurveyed vegetation plots in Europe

AbstractAimsWe introduce ReSurveyEurope — a new data source of resurveyed vegetation plots in Europe, compiled by a collaborative network of vegetation scientists. We describe the scope of this initiative, provide an overview of currently available data, governance, data contribution rules, and accessibility. In addition, we outline further steps, including potential research questions.ResultsReSurveyEurope includes resurveyed vegetation plots from all habitats. Version 1.0 of ReSurveyEurope contains 283,135 observations (i.e., individual surveys of each plot) from 79,190 plots sampled in 449 independent resurvey projects. Of these, 62,139 (78%) are permanent plots, that is, marked in situ, or located with GPS, which allow for high spatial accuracy in resurvey. The remaining 17,051 (22%) plots are from studies in which plots from the initial survey could not be exactly relocated. Four data sets, which together account for 28,470 (36%) plots, provide only presence/absence information on plant species, while the remaining 50,720 (64%) plots contain abundance information (e.g., percentage cover or cover–abundance classes such as variants of the Braun‐Blanquet scale). The oldest plots were sampled in 1911 in the Swiss Alps, while most plots were sampled between 1950 and 2020.ConclusionsReSurveyEurope is a new resource to address a wide range of research questions on fine‐scale changes in European vegetation. The initiative is devoted to an inclusive and transparent governance and data usage approach, based on slightly adapted rules of the well‐established European Vegetation Archive (EVA). ReSurveyEurope data are ready for use, and proposals for analyses of the data set can be submitted at any time to the coordinators. Still, further data contributions are highly welcome.</jats:sec

SynBioSys NL

SynBioSys is de afkorting van ‘Syntaxonomisch Biologisch Systeem’. Hiermee wordt tot uitdrukking gebracht dat de basis van dit programma wordt gevormd door het niveau van de levensgemeenschap. Om een breed scala aan biologische informatie toegankelijk te maken worden classificatiesystemen ingezet op het niveau van de plantengemeenschap, het landschap en de soort. Hieraan zijn drie andere indelingen toegevoegd, de vegetatietypologie van Staatsbosbeheer, de Natura 2000-habitattypen en de Index-NL. Van belang is dat de verschillende lagen onderling gekoppeld zijn. Het ‘hart’ van het informatiesysteem wordt gevormd door identificatieprogrammatuur, waarmee de gebruiker kan beoordelen met welke plantengemeenschappen zijn eigen gegevens (soortenlijst, vegetatieopname, tabel) de grootste verwantschap vertoont. Het fundament wordt gevormd door de Landelijke Vegetatie Databank (LVD), in beheer bij Wageningen Environmental Research

SynBioSys NL

SynBioSys is de afkorting van ‘Syntaxonomisch Biologisch Systeem’. Hiermee wordt tot uitdrukking gebracht dat de basis van dit programma wordt gevormd door het niveau van de levensgemeenschap. Om een breed scala aan biologische informatie toegankelijk te maken worden classificatiesystemen ingezet op het niveau van de plantengemeenschap, het landschap en de soort. Hieraan zijn drie andere indelingen toegevoegd, de vegetatietypologie van Staatsbosbeheer, de Natura 2000-habitattypen en de Index-NL. Van belang is dat de verschillende lagen onderling gekoppeld zijn. Het ‘hart’ van het informatiesysteem wordt gevormd door identificatieprogrammatuur, waarmee de gebruiker kan beoordelen met welke plantengemeenschappen zijn eigen gegevens (soortenlijst, vegetatieopname, tabel) de grootste verwantschap vertoont. Het fundament wordt gevormd door de Landelijke Vegetatie Databank (LVD), in beheer bij Wageningen Environmental Research

Ancient lineages recently converging to the same trait range: Disturbed patches are phylogenetic museums but functional cradles

International audienc

Will the decline of specialists affect future diversification?

poste

Will the decline of specialists affect future diversification?

poste

Describing vegetation at the landscape level: « synphyto », a database designed for series and geoseries dataset within the Vegfrance project

International audienc