J 2011

The Global Index of Vegetation-Plot Databases (GIVD): a new resource for vegetation science

DENGLER, Jürgen, Florian JANSEN, Falko GLÖCKNER, Robert K. PEET, Miquel DE CACERES AINSA et. al.

Základní údaje

Originální název

The Global Index of Vegetation-Plot Databases (GIVD): a new resource for vegetation science

Autoři

DENGLER, Jürgen (276 Německo), Florian JANSEN (276 Německo), Falko GLÖCKNER (276 Německo), Robert K. PEET (840 Spojené státy), Miquel DE CACERES AINSA (724 Španělsko), Milan CHYTRÝ (203 Česká republika, garant, domácí), Jörg EWALD (276 Německo), Jens OLDELAND (276 Německo), Gabriele LOPEZ-GONZALES (826 Velká Británie a Severní Irsko), Manfred FINCKH (276 Německo), Ladislav MUCINA (36 Austrálie, domácí), John S. RODWELL (826 Velká Británie a Severní Irsko), Joop H. J. SCHAMINÉE (528 Nizozemské království) a Nick SPENCER (554 Nový Zéland)

Vydání

Journal of Vegetation Science, Oxford, Wiley-Blackwell, 2011, 1100-9233

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10600 1.6 Biological sciences

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 2.770

Kód RIV

RIV/00216224:14310/11:00054663

Organizační jednotka

Přírodovědecká fakulta

UT WoS

000292463600002

Klíčová slova anglicky

Biodiversity; Data sharing; Ecoinformatics; GBIF; Global change; Macroecology; Metadata; Phytosociology; Relevé; Scientific reward

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 3. 4. 2015 15:28, prof. RNDr. Milan Chytrý, Ph.D.

Anotace

V originále

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.

Návaznosti

MSM0021622416, záměr
Název: Diverzita biotických společenstev a populací: kauzální analýza variability v prostoru a čase
Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Diverzita biotických společenstev: kauzální analýza variability v prostoru a čase