DENGLER, Jürgen, Florian JANSEN, Falko GLÖCKNER, Robert K. PEET, Miquel DE CACERES AINSA, Milan CHYTRÝ, Jörg EWALD, Jens OLDELAND, Gabriele LOPEZ-GONZALES, Manfred FINCKH, Ladislav MUCINA, John S. RODWELL, Joop H. J. SCHAMINÉE and Nick SPENCER. The Global Index of Vegetation-Plot Databases (GIVD): a new resource for vegetation science. Journal of Vegetation Science. Oxford: Wiley-Blackwell, 2011, vol. 22, No 4, p. 582-597. ISSN 1100-9233. Available from: https://dx.doi.org/10.1111/j.1654-1103.2011.01265.x.
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Basic information
Original name The Global Index of Vegetation-Plot Databases (GIVD): a new resource for vegetation science
Authors DENGLER, Jürgen (276 Germany), Florian JANSEN (276 Germany), Falko GLÖCKNER (276 Germany), Robert K. PEET (840 United States of America), Miquel DE CACERES AINSA (724 Spain), Milan CHYTRÝ (203 Czech Republic, guarantor, belonging to the institution), Jörg EWALD (276 Germany), Jens OLDELAND (276 Germany), Gabriele LOPEZ-GONZALES (826 United Kingdom of Great Britain and Northern Ireland), Manfred FINCKH (276 Germany), Ladislav MUCINA (36 Australia, belonging to the institution), John S. RODWELL (826 United Kingdom of Great Britain and Northern Ireland), Joop H. J. SCHAMINÉE (528 Netherlands) and Nick SPENCER (554 New Zealand).
Edition Journal of Vegetation Science, Oxford, Wiley-Blackwell, 2011, 1100-9233.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10600 1.6 Biological sciences
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW Fulltext on Wiley Online Library
Impact factor Impact factor: 2.770
RIV identification code RIV/00216224:14310/11:00054663
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1111/j.1654-1103.2011.01265.x
UT WoS 000292463600002
Keywords in English Biodiversity; Data sharing; Ecoinformatics; GBIF; Global change; Macroecology; Metadata; Phytosociology; Relevé; Scientific reward
Tags AKR
Tags International impact, Reviewed
Changed by Changed by: prof. RNDr. Milan Chytrý, Ph.D., učo 871. Changed: 3/4/2015 15:28.
Abstract
Question: How many vegetation plot observations (relevés) are available in electronic databases, how are they geographically distributed, what are their properties and how might they be discovered and located for research and application? Location: Global. Methods: We compiled the Global Index of Vegetation-Plot Databases (GIVD; http://www.givd.info), an Internet resource aimed at registering metadata on existing vegetation databases. For inclusion, databases need to (i) contain temporally and spatially explicit species co-occurrence data and (ii) be accessible to the scientific public. This paper summarizes structure and data quality of databases registered in GIVD as of 30 December 2010. Results: On the given date, 132 databases containing more than 2.4 million non-overlapping plots had been registered in GIVD. The majority of these data were in European databases (83 databases, 1.6 million plots), whereas other continents were represented by substantially less (North America 15, Asia 13, Africa nine, South America seven, Australasia two, multi-continental three). The oldest plot observation was 1864, but most plots were recorded after 1970. Most plots reported vegetation on areas of 1 to 1000 m2; some also stored time-series and nested-plot data. Apart from geographic reference (required for inclusion), most frequent information was on altitude (71%), slope aspect and inclination (58%) and land use (38%), but rarely soil properties (<7%). Conclusions: The vegetation plot data in GIVD constitute a major resource for biodiversity research, both through the large number of species occurrence records and storage of species co-occurrence information at a small scale, combined with structural and plot-based environmental data. We identify shortcomings in available data that need to be addressed through sampling under-represented geographic regions, providing better incentives for data collection and sharing, developing user-friendly database exchange standards, as well as tools to analyse and remove confounding effects of sampling biases. The increased availability of data sets conferred by registration in GIVD offers significant opportunities for large-scale studies in community ecology, macroecology and global change research.
Links
MSM0021622416, plan (intention)Name: Diverzita biotických společenstev a populací: kauzální analýza variability v prostoru a čase
Investor: Ministry of Education, Youth and Sports of the CR, Diversity of Biotic Communities and Populations: Causal Analysis of variation in space and time
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