sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

Sabatini Francesco Maria, Lenoir Jonathan, Hattab Tarek, Arnst Elise Aimee, Chytrý Milan, Dengler Jürgen, De Ruffray Patrice, Hennekens Stephan M., Jandt Ute, Jansen Florian, Jiménez‐Alfaro Borja, Kattge Jens, Levesley Aurora, Pillar Valério D., Purschke Olivier, Sandel Brody, Sultana Fahmida, Aavik Tsipe, Aćić Svetlana, Acosta Alicia T.R., Agrillo Emiliano, Alvarez Miguel, Apostolova Iva, Arfin Khan Mohammed A. S., Arroyo Luzmila, Attorre Fabio, Aubin Isabelle, Banerjee Arindam, Bauters Marijn, Bergeron Yves, Bergmeier Erwin, Biurrun Idoia, Bjorkman Anne D., Bonari Gianmaria, Bondareva Viktoria, Brunet Jörg, Carni Andraz, Casella Laura, Cayuela Luis, Cerný Tomás, Chepinoga Victor, Csiky János, Ćušterevska Renata, De Bie Els, De Gasper André Luis, De Sanctis Michele, Dimopoulos Panayotis, Dolezal Jiri, Dziuba Tetiana, El‐Sheikh Mohamed Abd El‐Rouf Mousa, Enquist Brian, Ewald Jörg, Fazayeli Farideh, Field Richard, Finckh Manfred, Gachet Sophie, Galán‐de‐Mera Antonio, Garbolino Emmanuel, Gholizadeh Hamid, Giorgis Melisa, Golub Valentin, Alsos Inger Greve, Grytnes John-Arvid, Guerin Gregory Richard, Gutiérrez Alvaro G., Haider Sylvia, Hatim Mohamed Z., Herault Bruno, et al.. 2021. sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots. Global Ecology and Biogeography, 30 (9) : 1740-1764.

https://doi.org/10.1111/geb.13346

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Url - autres données associées : https://github.com/fmsabatini/sPlotOpen_Code / Url - autres données associées : https://github.com/fmsabatini/sPlotOpen_Manuscript

Quartile : Q1, Sujet : ECOLOGY / Quartile : Q1, Sujet : GEOGRAPHY, PHYSICAL

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture

Résumé : 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.

Mots-clés Agrovoc : parcelle, couverture végétale, biodiversité, végétation, communauté végétale, biogéographie, impact sur l'environnement, diffusion de l'information, données ouvertes

Mots-clés complémentaires : jeu de données

Mots-clés libres : Big data, Biodiversity, Biogeography, Database, Functional traits, Macroecology, Vascular plants, Vegetation plots

Classification Agris : F70 - Taxonomie végétale et phytogéographie

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

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