VegetWeb – the national online-repository of vegetation plots from Germany

Ewald, Jörg; May, Rudolf von; Kleikamp, Martin

doi:10.7809/b-e.00073

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…), the Czech Republic (Chytrý & Rafajová ), Germany (Ewald et al. ), Italy (Landucci et al. ), Slovakia (Šibík ), the Netherlands (Schaminée et al.…”

Section: Brief History Of the Eva Initiativementioning

confidence: 99%

European Vegetation Archive (EVA): an integrated database of European vegetation plots

Chytrý

Hennekens

Jíménez-Alfaro

et al. 2015

Applied Vegetation Science

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The European Vegetation Archive (EVA) is a centralized database of European vegetation plots developed by the IAVS Working Group European Vegetation Survey. It has been in development since 2012 and first made available for use in research projects in 2014. It stores copies of national and regional vegetationplot databases on a single software platform. Data storage in EVA does not affect on-going independent development of the contributing databases, which remain the property of the data contributors. EVA uses a prototype of the database management software TURBOVEG 3 developed for joint management of multiple databases that use different species lists. This is facilitated by the SynBioSys Taxon Database, a system of taxon names and concepts used in the individual European databases and their corresponding names on a unified list of European flora. TURBOVEG 3 also includes procedures for handling data requests, selections and provisions according to the approved EVA Data Property and Governance Rules. By 30 June 2015, 61 databases from all European regions have joined EVA, contributing in total 1 027 376 vegetation plots, 82% of them with geographic coordinates, from 57 countries. EVA provides a unique data source for largescale analyses of European vegetation diversity both for fundamental research and nature conservation applications. Updated information on EVA is available online at http://euroveg.org/evadatabase.

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“…), the Czech Republic (Chytrý & Rafajová ), Germany (Ewald et al. ), Italy (Landucci et al. ), Slovakia (Šibík ), the Netherlands (Schaminée et al.…”

Section: Brief History Of the Eva Initiativementioning

confidence: 99%

European Vegetation Archive (EVA): an integrated database of European vegetation plots

Chytrý

Hennekens

Jíménez-Alfaro

et al. 2015

Applied Vegetation Science

Self Cite

320

290

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“…At least parts of the database are intended to be included in the freely accessible national vegetation database of Germany (VegetWeb, GIVD-ID EU-DE-013; see Ewald et al 2012), and the floristic content will be made available in GBIF, the Global Biodiversity Information Facility (http://www. gbif.org), through the Flora-MV portal (see above).…”

Section: Discussionmentioning

confidence: 99%

VegMV – the vegetation database of Mecklenburg-Vorpommern

Jansen¹,

Dengler²,

Berg³

2012

Biodivers. Ecol.

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Abstract:We review VegMV, the phytosociological database of Mecklenburg-Vorpommern (NE Germany) with electronically stored vegetation relevés (GIVD ID EU-DE-001). The database was established in 1994 and is now hosted by the Institute of Botany and Landscape Ecology, University of Greifswald, Germany (http://www.botanik.uni-greifswald.de/VegMV). On 27 October 2011, the database contained 53,842 relevés, mostly from the federal state of Mecklenburg-Vorpommern, collected by approximately 320 authors between 1928 and 2010. Some 28% of the relevés were taken from published papers or monographs, 42% from theses and 30% from various unpublished reports and "field books". A wide variety of habitats occurring in Mecklenburg-Vorpommern are represented, but territorial coverage by relevés is uneven, with lower coverage of less attractive and poorly accessible areas. The largest numbers of relevés are from managed grasslands (Molinio-Arrhenatheretea), arable land (Stellarietea mediae), and eutrophic reed communities (Phragmito-Magno-Caricetea). We quantify and discuss possible bias in the data, such as preferential selection of sampling sites (habitat and small-scale preferences), taxonomic inconsistencies, spatial agglomeration, and missing values for some data elements. We present a brief introduction to the consistent phytosociological vegetation classification developed using the VegMV data. Further applications of the data and the conditions for their use are reported.

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“…) and the German VegetWeb (Ewald et al. ). This enables users to select their preferred taxon perspective to apply to their data set according to a hierarchy of preferred references (Berendsohn ; Jansen & Dengler ).…”

Section: Overcoming Barriers To Data Integrationmentioning

confidence: 99%

Achievements and challenges in the integration, reuse and synthesis of vegetation plot data

Wiser

2016

J Vegetation Science

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Aims I aim to review vegetation plot data discovery, the major international efforts to integrate these data, some of the remaining barriers to data integration, reuse and synthesis and how they can be overcome, and some of the emergent issues associated with data attribution and acknowledgement for data providers, users and aggregators. Results Vegetation plot data from 231 databases containing over three million plot records can be discovered via the metadata catalogue of the Global Index of Vegetation‐Plot Databases (GIVD). Major efforts to integrate data at national and international scales are well underway, including the North American VegBank, the European Vegetation Archive, the Botanical Information and Ecology Network (BIEN) and sPlot. Barriers to data reuse and synthesis remain: the most important are missing or incorrect geographic coordinates (geo‐coordinates) and inconsistencies in plant names. Many scientific journals now require the data underpinning published results to be archived in a publically accessible location via a digital object identifier (DOI). Such policies may be at odds with those of vegetation plot databases and funding agencies. The linkage between the New Zealand National Vegetation Survey Databank and an institutional data repository illustrates one solution to satisfying journal requirements to make data publically available, while retaining a direct linkage to the source data archive. Conclusions Although further progress needs to be made in digitising, publishing and integrating vegetation plot data, many once insurmountable barriers are rapidly being overcome. Developing effective solutions to the problems posed by changing taxonomic concepts in space and time is likely the most urgent requirement. Although changing journal requirements may result in vegetation plot data being archived in some form for a specific publication, this does not provide the integration required to enable data reuse and synthesis. For vegetation scientists, a recommended best practice is to archive plot data in an established vegetation plot repository as a first step, and when required, provide versioned data or summaries to meet journal requirements in a suitable repository with a clear linkage to the vegetation plot repository. The concepts outlined in this paper have wide‐ranging implications for other types of ecological data.

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VegetWeb – the national online-repository of vegetation plots from Germany

Cited by 6 publications

References 7 publications

European Vegetation Archive (EVA): an integrated database of European vegetation plots

European Vegetation Archive (EVA): an integrated database of European vegetation plots

VegMV – the vegetation database of Mecklenburg-Vorpommern

Achievements and challenges in the integration, reuse and synthesis of vegetation plot data

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