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

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dc.authoridDe Bie, Els/0000-0001-7679-743X
dc.authoridSamimi, Cyrus/0000-0001-7001-7893
dc.authoridArnst, Elise/0000-0003-2388-7428
dc.authoridSklenar, Petr/0000-0003-0429-2621
dc.authoridChytry, Milan/0000-0002-8122-3075
dc.authoridHaider, Sylvia/0000-0002-2966-0534
dc.authoridGutierrez, Alvaro G./0000-0001-8928-3198
dc.contributor.authorSabatini, Francesco Maria
dc.contributor.authorLenoir, Jonathan
dc.contributor.authorHattab, Tarek
dc.contributor.authorArnst, Elise Aimee
dc.contributor.authorChytry, Milan
dc.contributor.authorDengler, Juergen
dc.contributor.authorDe Ruffray, Patrice
dc.date.accessioned2024-09-29T16:04:40Z
dc.date.available2024-09-29T16:04:40Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractMotivation 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 m(2). 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.en_US
dc.description.sponsorshipAgence Nationale de la Recherche [ANR-07-BDIV-0006, ANR-07-BDIV-0008, ANR-07-BDIV-0010]; European Research Council [291585, ERC-SyG-2013-610028 IMBALANCE-P]; Villum Fonden [16549]; Deutsche Forschungsgemeinschaft [DFG FZT 118, 202548816, DFG Ho3296-2, DFG Ho3296-4, DFG VA 749/1-1, DFG VA 749/4-1, DFG WE 2601/3-1 3-2 4-1 4-2]; Narodowe Centrum Nauki [2017/25/B/NZ8/00572]; Latvia grant [AAP2016/B041//Zd2016/AZ03]; NSF [DEB-0415383]; Horizon 2020 Framework Programme [640176]; U.S. National Science Foundation [DBI-0213794, DBI-9905838]; Grantova Agentura Ceske Republiky [19-28491X]; German Centre for Integrative Biodiversity Research [50170649_7]; Fundacion BBVA [BIOCON08_044]; Akademie Ved Ceske Republiky [RVO 67985939]; Spanish Research Agency [AEI/10.13039/501100011033]; National Research, Development and Innovation Office, Hungar [PD--12399]; Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen Forschung [20BD21_184131]; Basque Government [640176]; Russian Foundation for Basic Research [16-04-00747a]; Brazil's National Council of Scientific and Technological Development [307689/2014-0, 310022/2015-0]; Volkswagen Foundation [AZ I/81 976]; Agence Nationale de la Recherche (ANR) [ANR-07-BDIV-0006, ANR-07-BDIV-0008, ANR-07-BDIV-0010] Funding Source: Agence Nationale de la Recherche (ANR); NERC [NE/N012542/1, NE/D010306/1] Funding Source: UKRIen_US
dc.description.sponsorshipAgence Nationale de la Recherche, Grant/Award Number: ANR-07-BDIV-0006, ANR-07-BDIV-0008 and ANR-07-BDIV-0010; H2020 European Research Council, Grant/Award Number: ERC Advanced Grant 291585 T-FORCES and ERC-SyG-2013-610028 IMBALANCE-P; Villum Fonden, Grant/Award Number: 16549; Deutsche Forschungsgemeinschaft, Grant/Award Number: DFG FZT 118, 202548816, DFG Ho3296-2, DFG Ho3296-4, DFG VA 749/1-1, DFG VA 749/4-1 and DDFG WE 2601/3-1 3-2 4-1 4-2; Narodowe Centrum Nauki, Grant/Award Number: 2017/25/B/NZ8/00572; Latvia grant, Grant/Award Number: AAP2016/B041//Zd2016/AZ03; NSF, Grant/Award Number: DEB-0415383; Horizon 2020 Framework Programme, Grant/Award Number: 640176; U.S. National Science Foundation, Grant/Award Number: DBI-0213794 and DBI-9905838; Grantova Agentura Ceske Republiky, Grant/Award Number: 19-28491X; German Centre for Integrative Biodiversity Research, Grant/Award Number: 50170649_#7; Fundacion BBVA, Grant/Award Number: BIOCON08_044; Akademie Ved Ceske Republiky, Grant/Award Number: RVO 67985939; Spanish Research Agency, Grant/Award Number: AEI/10.13039/501100011033; National Research, Development and Innovation Office, Hungar, Grant/Award Number: PD--12399; Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen Forschung, Grant/Award Number: 20BD21_184131; Basque Government, Grant/Award Number: 640176; Russian Foundation for Basic Research, Grant/Award Number: 16-04-00747a; Brazil's National Council of Scientific and Technological Development, Grant/Award Number: 307689/2014-0 and 310022/2015-0; Volkswagen Foundation, Grant/Award Number: AZ I/81 976en_US
dc.identifier.doi10.1111/geb.13346
dc.identifier.endpage1764en_US
dc.identifier.issn1466-822X
dc.identifier.issn1466-8238
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85108379972en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1740en_US
dc.identifier.urihttps://doi.org/10.1111/geb.13346
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6240
dc.identifier.volume30en_US
dc.identifier.wosWOS:000664540200001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofGlobal Ecology and Biogeographyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectbig dataen_US
dc.subjectbiodiversityen_US
dc.subjectbiogeographyen_US
dc.subjectdatabaseen_US
dc.subjectfunctional traitsen_US
dc.subjectmacroecologyen_US
dc.subjectvascular plantsen_US
dc.subjectvegetation plotsen_US
dc.titlesPlotOpen - An environmentally balanced, open-access, global dataset of vegetation plotsen_US
dc.typeArticleen_US

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