The global spectrum of plant form and function: enhanced species-level trait dataset

dc.contributor.affiliationPontificia Universidad Católica del Perú. Departamento Académico de Psicología
dc.contributor.authorDíaz, S.
dc.contributor.authorKattge, J.
dc.contributor.authorCornelissen, J.H.C.
dc.contributor.authorWright, I.J.
dc.contributor.authorLavorel, S.
dc.contributor.authorDray, S.
dc.contributor.authorReu, B.
dc.contributor.authorKleyer, M.
dc.contributor.authorWirth, C.
dc.contributor.authorPrentice, I.C.
dc.contributor.authorGarnier, E.
dc.contributor.authorBönisch, G.
dc.contributor.authorWestoby, M.
dc.contributor.authorPoorter, H.
dc.contributor.authorReich, P.B.
dc.contributor.authorMoles, A.T.
dc.contributor.authorDickie, J.
dc.contributor.authorZanne, A.E.
dc.contributor.authorChave, J.
dc.contributor.authorWright, S.J.
dc.contributor.authorSheremetiev, S.N.
dc.contributor.authorJactel, H.
dc.contributor.authorBaraloto, C.
dc.contributor.authorCerabolini, B.E.L.
dc.contributor.authorPierce, S.
dc.contributor.authorShipley, B.
dc.contributor.authorCasanoves, F.
dc.contributor.authorJoswig, J.S.
dc.contributor.authorGünther, A.
dc.contributor.authorFalczuk, V.
dc.contributor.authorRüger, N.
dc.contributor.authorMahecha, M.D.
dc.contributor.authorGorné, L.D.
dc.contributor.authorAmiaud, B.
dc.contributor.authorAtkin, O.K.
dc.contributor.authorBahn, M.
dc.contributor.authorBaldocchi, D.
dc.contributor.authorBeckmann, M.
dc.contributor.authorBlonder, B.
dc.contributor.authorBond, W.
dc.contributor.authorBond-Lamberty, B.
dc.contributor.authorBrown, K.
dc.contributor.authorBurrascano, S.
dc.contributor.authorByun, C.
dc.contributor.authorCampetella, G.
dc.contributor.authorCavender-Bares, J.
dc.contributor.authorChapin, F.S.
dc.contributor.authorChoat, B.
dc.contributor.authorCoomes, D.A.
dc.contributor.authorCornwell, W.K.
dc.contributor.authorCraine, J.
dc.contributor.authorCraven, D.
dc.contributor.authorDainese, M.
dc.contributor.authorde Araüjo, A.C.
dc.contributor.authorDe Vries, F.T.
dc.contributor.authorDomingues, T.F.
dc.contributor.authorEnquist, B.J.
dc.contributor.authorFagúndez, J.
dc.contributor.authorFang, J.
dc.contributor.authorFernández-Méndez, F.
dc.contributor.authorPiedade, M.T.
dc.contributor.authorFord, H.
dc.contributor.authorForey, E.
dc.contributor.authorFreschet, G.T.
dc.contributor.authorGachet, S.
dc.contributor.authorGallagher, R.
dc.contributor.authorGreen, W.
dc.contributor.authorGuerin, G.R.
dc.contributor.authorGutiérrez, A.G.
dc.contributor.authorHarrison, S.P.
dc.contributor.authorHattingh, W.N.
dc.contributor.authorHe, T.
dc.contributor.authorHickler, T.
dc.contributor.authorHiggins, S.I.
dc.contributor.authorHiguchi, P.
dc.contributor.authorIlic, J.
dc.contributor.authorJackson, R.B.
dc.contributor.authorJalili, A.
dc.contributor.authorJansen, S.
dc.contributor.authorKoike, F.
dc.contributor.authorKönig, C.
dc.contributor.authorKraft, N.
dc.contributor.authorKramer, K.
dc.contributor.authorKreft, H.
dc.contributor.authorKühn, I.
dc.contributor.authorKurokawa, H.
dc.contributor.authorLamb, E.G.
dc.contributor.authorLaughlin, D.C.
dc.contributor.authorLeishman, M.
dc.contributor.authorLewis, S.
dc.contributor.authorLouault, F.
dc.contributor.authorMalhado, A.C.M.
dc.contributor.authorManning, P.
dc.contributor.authorMeir, P.
dc.contributor.authorMencuccini, M.
dc.contributor.authorMessier, J.
dc.contributor.authorMiller, R.
dc.contributor.authorMinden, V.
dc.contributor.authorMolofsky, J.
dc.contributor.authorMontgomery, R.
dc.date.accessioned2026-03-13T16:57:32Z
dc.date.issued2022
dc.description.abstractAbstract Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass – define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.
dc.description.sponsorshipFunding: The study has been supported by the TRY initiative on plant traits ( https://www.try-db.org ). TRY is an initiative of the Max Planck Institute for Biogeochemistry, bioDISCOVERY/Future Earth (ICSU), the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig and N\u00FAcleo DiverSus (CONICET- Universidad Nacional de Córdoba, Argentina). The Global Spectrum of Plant Form and Functión study has been supported by the European BACI project (Towards a Biosphere Atmosphere change Index, EU grant ID 640176), and grants to SD by FONCyT, CONICET, Universidad Nacional de Córdoba, the Inter-American Institute for Global Change Research, and The Newton Fund (NERC UK - CONICET ARG). VO thanks RSF (#19-14-00038p).; Funding text 2: The study has been supported by the TRY initiative on plant traits (https://www.try-db.org). TRY is an initiative of the Max Planck Institute for Biogeochemistry, bioDISCOVERY/Future Earth (ICSU), the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig and N\u00FAcleo DiverSus (CONICET- Universidad Nacional de Córdoba, Argentina). The Global Spectrum of Plant Form and Functión study has been supported by the European BACI project (Towards a Biosphere Atmosphere change Index, EU grant ID 640176), and grants to SD by FONCyT, CONICET, Universidad Nacional de Córdoba, the Inter-American Institute for Global Change Research, and The Newton Fund (NERC UK - CONICET ARG).\u00A0VO thanks RSF (#19-14-00038p).
dc.identifier.doihttps://doi.org/10.1038/s41597-022-01774-9
dc.identifier.urihttp://hdl.handle.net/20.500.14657/205592
dc.language.isoeng
dc.publisherNature Research
dc.relation.ispartofurn:issn:2052-4463
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.sourcescientific Data; Vol. 9, Núm. 1 (2022)
dc.subjectTrait
dc.subjectBiology
dc.subjectCategorical variable
dc.subjectVascular plant
dc.subjectSpecific leaf area
dc.subjectPlant species
dc.subjectTaxonomic rank
dc.subjectBotany
dc.subjectEcology
dc.subjectStatistics
dc.subjectMathematics
dc.subjectSpecies richness
dc.subjectComputer science
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.04.00
dc.titleThe global spectrum of plant form and function: enhanced species-level trait dataset
dc.typehttp://purl.org/coar/resource_type/c_beb9
dc.type.otherArtículo de datos
dc.type.versionhttps://vocabularies.coar-repositories.org/version_types/c_970fb48d4fbd8a85/

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