sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots
Research output: Journal contributions › Journal articles › Research › peer-review
Standard
In: Global Ecology and Biogeography, Vol. 30, No. 9, 09.2021, p. 1740-1764.
Research output: Journal contributions › Journal articles › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots
AU - Sabatini, Francesco Maria
AU - Lenoir, Jonathan
AU - Hattab, Tarek
AU - Arnst, Elise Aimee
AU - Chytrý, Milan
AU - Dengler, Jürgen
AU - De Ruffray, Patrice
AU - Hennekens, Stephan M.
AU - Jandt, Ute
AU - Jansen, Florian
AU - Jiménez-Alfaro, Borja
AU - Kattge, Jens
AU - Levesley, Aurora
AU - Pillar, Valério D.
AU - Purschke, Oliver
AU - Sandel, Brody
AU - Sultana, Fahmida
AU - Aavik, Tsipe
AU - Aćić, Svetlana
AU - Acosta, Alicia T.R.
AU - Agrillo, Emiliano
AU - Alvarez, Miguel
AU - Apostolova, Iva
AU - Arfin Khan, Mohammed A.S.
AU - Arroyo, Luzmila
AU - Attorre, Fabio
AU - Aubin, Isabelle
AU - Banerjee, Arindam
AU - Bauters, Marijn
AU - Bergeron, Yves
AU - Bergmeier, Erwin
AU - Biurrun, Idoia
AU - Bjorkman, Anne D.
AU - Bonari, Gianmaria
AU - Bondareva, Viktoria
AU - Brunet, Jörg
AU - Čarni, Andraž
AU - Casella, Laura
AU - Cayuela, Luis
AU - Černý, Tomáš
AU - Chepinoga, Victor
AU - Csiky, János
AU - Ćušterevska, Renata
AU - De Bie, Els
AU - de Gasper, André Luis
AU - De Sanctis, Michele
AU - Dimopoulos, Panayotis
AU - Dolezal, Jiri
AU - Dziuba, Tetiana
AU - El-Sheikh, Mohamed Abd El Rouf Mousa
AU - Enquist, Brian
AU - Ewald, Jörg
AU - Fazayeli, Farideh
AU - Field, Richard
AU - Finckh, Manfred
AU - Gachet, Sophie
AU - Galán-de-Mera, Antonio
AU - Garbolino, Emmanuel
AU - Gholizadeh, Hamid
AU - Giorgis, Melisa
AU - Golub, Valentin
AU - Alsos, Inger Greve
AU - Grytnes, John Arvid
AU - Guerin, Gregory Richard
AU - Gutiérrez, Alvaro G.
AU - Haider, Sylvia
AU - Hatim, Mohamed Z.
AU - Hérault, Bruno
AU - Hinojos Mendoza, Guillermo
AU - Hölzel, Norbert
AU - Homeier, Jürgen
AU - Hubau, Wannes
AU - Indreica, Adrian
AU - Janssen, John A.M.
AU - Jedrzejek, Birgit
AU - Jentsch, Anke
AU - Jürgens, Norbert
AU - Kącki, Zygmunt
AU - Kapfer, Jutta
AU - Karger, Dirk Nikolaus
AU - Kavgacı, Ali
AU - Kearsley, Elizabeth
AU - Kessler, Michael
AU - Khanina, Larisa
AU - Killeen, Timothy
AU - Korolyuk, Andrey
AU - Kreft, Holger
AU - Kühl, Hjalmar S.
AU - Kuzemko, Anna
AU - Landucci, Flavia
AU - Lengyel, Attila
AU - Lens, Frederic
AU - Lingner, Débora Vanessa
AU - Liu, Hongyan
AU - Lysenko, Tatiana
AU - Mahecha, Miguel D.
AU - Marcenò, Corrado
AU - Martynenko, Vasiliy
AU - Moeslund, Jesper Erenskjold
AU - Monteagudo Mendoza, Abel
AU - Mucina, Ladislav
AU - Müller, Jonas V.
AU - Munzinger, Jérôme
AU - Naqinezhad, Alireza
AU - Noroozi, Jalil
AU - Nowak, Arkadiusz
AU - Onyshchenko, Viktor
AU - Overbeck, Gerhard E.
AU - Pärtel, Meelis
AU - Pauchard, Aníbal
AU - Peet, Robert K.
AU - Peñuelas, Josep
AU - Pérez-Haase, Aaron
AU - Peterka, Tomáš
AU - Petřík, Petr
AU - Peyre, Gwendolyn
AU - Phillips, Oliver L.
AU - Prokhorov, Vadim
AU - Rašomavičius, Valerijus
AU - Revermann, Rasmus
AU - Rivas-Torres, Gonzalo
AU - Rodwell, John S.
AU - Ruprecht, Eszter
AU - Rūsiņa, Solvita
AU - Samimi, Cyrus
AU - Schmidt, Marco
AU - Schrodt, Franziska
AU - Shan, Hanhuai
AU - Shirokikh, Pavel
AU - Šibík, Jozef
AU - Šilc, Urban
AU - Sklenář, Petr
AU - Škvorc, Željko
AU - Sparrow, Ben
AU - Sperandii, Marta Gaia
AU - Stančić, Zvjezdana
AU - Svenning, Jens Christian
AU - Tang, Zhiyao
AU - Tang, Cindy Q.
AU - Tsiripidis, Ioannis
AU - Vanselow, Kim André
AU - Vásquez Martínez, Rodolfo
AU - Vassilev, Kiril
AU - Vélez-Martin, Eduardo
AU - Venanzoni, Roberto
AU - Vibrans, Alexander Christian
AU - Violle, Cyrille
AU - Virtanen, Risto
AU - von Wehrden, Henrik
AU - Wagner, Viktoria
AU - Walker, Donald A.
AU - Waller, Donald M.
AU - Wang, Hua Feng
AU - Wesche, Karsten
AU - Whitfeld, Timothy J.S.
AU - Willner, Wolfgang
AU - Wiser, Susan K.
AU - Wohlgemuth, Thomas
AU - Yamalov, Sergey
AU - Zobel, Martin
AU - Bruelheide, Helge
PY - 2021/9
Y1 - 2021/9
N2 - Motivation: Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ‘sPlot’, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained: Vegetation plots (n = 95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c. 50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain: Global, 0.01–40,000 m². Time period and grain: 1888–2015, recording dates. Major taxa and level of measurement: 42,677 vascular plant taxa, plot-level records. Software format: Three main matrices (.csv), relationally linked.
AB - Motivation: Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ‘sPlot’, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained: Vegetation plots (n = 95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c. 50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain: Global, 0.01–40,000 m². Time period and grain: 1888–2015, recording dates. Major taxa and level of measurement: 42,677 vascular plant taxa, plot-level records. Software format: Three main matrices (.csv), relationally linked.
KW - big data
KW - biodiversity
KW - biogeography
KW - database
KW - functional traits
KW - macroecology
KW - vascular plants
KW - vegetation plots
KW - Biology
KW - Ecosystems Research
UR - http://www.scopus.com/inward/record.url?scp=85108379972&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/b57a9b05-c655-3beb-88a2-02091637b271/
U2 - 10.1111/geb.13346
DO - 10.1111/geb.13346
M3 - Journal articles
AN - SCOPUS:85108379972
VL - 30
SP - 1740
EP - 1764
JO - Global Ecology and Biogeography
JF - Global Ecology and Biogeography
SN - 1466-822X
IS - 9
ER -