Dengler J, Wagner V, Dembicz I, Garcia-Mijangos I, Naqinezhad A, Boch S, Chiarucci A, Conradi T, Filibeck G, Guarino R, Janisova M, Steinbauer M, Acic S, Acosta ATR, Akasaka M, Allers MA, Apostolova I, Axmanova I, Bakan B, Baranova A, Bardy-Durchhalter M, Bartha S, Baumann E, Becker T, Becker U, Belonovskaya E, Bengtsson K, Benito Alonso JL, Berastegi A, Bergamini A, Bonini I, Bruun HH, Budzhak V, Bueno A, Antonio Campos J, Cancellieri L, Carboni M, Chocarro C, Conti L, Czarniecka-Wiera M, De Frenne P, Deak B, Didukh YP, Diekmann M, Dolnik C, Dupre C, Ecker K, Ermakov N, Erschbamer B, Escudero A, Etayo J, Fajmonova Z, Felde VA, Fernandez Calzado MR, Finckh M, Fotiadis G, Fracchiolla M, Ganeva A, Garcia-Magro D, Gavilan RG, Germany M, Giladi I, Gillet F, Giusso Del Galdo GP, Gonzalez JM, Grytnes JA, Hajek M, Hajkova P, Helm A, Herrera M, Hettenbergerova E, Hobohm C, Huellbusch EM, Ingerpuu N, Jandt U, Jeltsch F, Jensen K, Jentsch A, Jeschke M, Jimenez-Alfaro B, Kacki Z, Kakinuma K, Kapfer J, Kavgaci A, Kelemen A, Kiehl K, Koyama A, Koyanagi TF, Kozub L, Kuzemko A, Kyrkjeeide MO, Landi S, Langer N, Lastrucci L, Lazzaro L, Lelli C, Leps J, Loebel S, Luzuriaga AL, Maccherini S, Magnes M, Malicki M, Marceno C, Mardari C, Mauchamp L, May F, Michelsen O, Mesa JM, Molnar Z, Moysiyenko IY, Nakaga YK, Natcheva R, Noroozi J, Pakeman RJ, Palpurina S, Partel M, Paetsch R, Pauli H, Pedashenko H, Peet RK, Pielech R, Pipenbaher N, Pirini C, Pleskova Z, Polyakova MA, Prentice HC, Reinecke J, Reitalu T, Pilar Rodriguez-Rojo M, Rolecek J, Ronkin V, Rosati L, Rosen E, Ruprecht E, Rusina S, Sabovljevic M, Maria Sanchez A, Savchenko G, Schuhmacher O, Skornik S, Sperandii MG, Staniaszek-Kik M, Stevanovic-Dajic Z, Stock M, Suchrow S, Sutcliffe LME, Swacha G, Sykes M, Szabo A, Talebi A, Tanase C, Terzi M, Tolgyesi C, Torca M, Torok P, Tothmeresz B, Tsarevskaya N, Tsiripidis I, Tzonev R, Ushimaru A, Valko O, Van Der Maarel E, Vanneste T, Vashenyak I, Vassilev K, Viciani D, Villar L, Virtanen R, Kosic IV, Wang Y, Weiser F, Went J, Wesche K, White H, Winkler M, Zaniewski PT, Zhang H, Ziv Y, Znamenskiy S, Biurrun I (2018)
Publication Type: Journal article, Original article
Publication year: 2018
Book Volume: 48
Pages Range: 331 - 347
GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (relevés) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m ) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes and 2,800 nested-plot series. The key components are richness data and metadata. However, most included datasets also encompass compositional data. About 14,000 plots have near-complete records of terricolous bryophytes and lichens in addition to vascular plants. At present, GrassPlot contains data from 36 countries throughout the Palaearctic, spread across elevational gradients and major grassland types. GrassPlot with its multi-scale and multi-taxon focus complements the larger international vegetation-plot databases, such as the European Vegetation Archive (EVA) and the global database “sPlot”. Its main aim is to facilitate studies on the scale- and taxon-dependency of biodiversity patterns and drivers along macroecological gradients. GrassPlot is a dynamic database and will expand through new data collection coordinated by the elected Coordinating Board. We invite researchers with suitable data to join GrassPlot. Researchers with project ideas addressable with GrassPlot data are welcome to submit proposals to the Governing Board.
APA:
Dengler, J., Wagner, V., Dembicz, I., Garcia-Mijangos, I., Naqinezhad, A., Boch, S.,... Biurrun, I. (2018). GrassPlot - a database of multi-scale plant diversity in Palaearctic grasslands. Phytocoenologia, 48, 331 - 347. https://doi.org/10.1127/phyto/2018/0267
MLA:
Dengler, Juergen, et al. "GrassPlot - a database of multi-scale plant diversity in Palaearctic grasslands." Phytocoenologia 48 (2018): 331 - 347.
BibTeX: Download