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dc.creatorSperandii, M. G.es
dc.creatorde Bello, F.es
dc.creatorValencia, E.es
dc.creatorGotzenberger, L.es
dc.creatorBazzichetto, M.es
dc.creatorGalland, T.es
dc.creatorE. Vojtko, A.es
dc.creatorConti, L.es
dc.creatorAdler, P. B.es
dc.creatorBuckley, H.es
dc.creatorRueda García, Martaes
dc.creatorLeps, J.es
dc.date.accessioned2023-01-18T16:15:04Z
dc.date.available2023-01-18T16:15:04Z
dc.date.issued2022
dc.identifier.citationSperandii, M.G., de Bello, F., Valencia, E., Gotzenberger, L., Bazzichetto, M., Galland, T.,...,Leps, J. (2022). LOTVS: A Global Collection of Permanent Vegetation Plots. Journal of Vegetation Science, 33 (2), e13115. https://doi.org/10.1111/jvs.13115.
dc.identifier.issn1100-9233es
dc.identifier.urihttps://hdl.handle.net/11441/141525
dc.description.abstractAnalysing temporal patterns in plant communities is extremely important to quantify the extent and the consequences of ecological changes, especially considering the current biodiversity crisis. Long-term data collected through the regular sampling of permanent plots represent the most accurate resource to study ecological succession, analyse the stability of a community over time and understand the mechanisms driving vegetation change. We hereby present the LOng-Term Vegetation Sampling (LOTVS) initiative, a global collection of vegetation time-series derived from the regular monitoring of plant species in permanent plots. With 79 data sets from five continents and 7,789 vegetation time-series monitored for at least 6 years and mostly on an annual basis, LOTVS possibly represents the largest collection of temporally fine-grained vegetation time-series derived from permanent plots and made accessible to the research community. As such, it has an outstanding potential to support innovative research in the fields of vegetation science, plant ecology and temporal ecology.es
dc.description.sponsorshipCzech Science Foundation 19-28491Xes
dc.description.sponsorshipCzech Academy of Sciences RVO 67985939es
dc.description.sponsorshipGobierno de España PGC2018-099027-B-I00, PID2019-110521GB-I00es
dc.description.sponsorshipGerman Federal Ministry of Education and Research 031B0516C, 01LG1201N, 01LC0024, 01LC0024A, 01LC0624A2, 01LG1201A, 01LG1201Nes
dc.description.sponsorshipComunidad Autónoma de Madrid 2017-T2/AMB-5406, M2165es
dc.formatapplication/pdfes
dc.format.extent11 p.es
dc.language.isoenges
dc.publisherWiley-Blackwelles
dc.relation.ispartofJournal of Vegetation Science, 33 (2), e13115.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEcoinformaticses
dc.subjectEcological successiones
dc.subjectEcosystem stabilityes
dc.subjectGlobal scalees
dc.subjectPermanent plotses
dc.subjectPlant communitieses
dc.subjectPlant diversityes
dc.subjectTemporal analysises
dc.subjectTime-serieses
dc.subjectVegetationes
dc.titleLOTVS: A Global Collection of Permanent Vegetation Plotses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Biología Vegetal y Ecologíaes
dc.relation.projectID19-28491Xes
dc.relation.projectIDRVO 67985939es
dc.relation.projectIDPGC2018- 099027-B-I00es
dc.relation.projectIDPID2019-110521GB-I00es
dc.relation.projectID031B0516Ces
dc.relation.projectID01LG1201Nes
dc.relation.projectID01LG1201Nes
dc.relation.projectID01LG1201Nes
dc.relation.projectID01LC0024es
dc.relation.projectID01LC0024Aes
dc.relation.projectID01LC0624A2es
dc.relation.projectID01LG1201Aes
dc.relation.projectID01LG1201Nes
dc.relation.projectID2017-T2/AMB-5406es
dc.relation.projectIDM2165es
dc.relation.publisherversionhttps://doi.org/10.1111/jvs.13115es
dc.identifier.doi10.1111/jvs.13115es
dc.journaltitleJournal of Vegetation Sciencees
dc.publication.volumen33es
dc.publication.issue2es
dc.publication.initialPagee13115es
dc.contributor.funderCzech Science Foundationes
dc.contributor.funderCzech Academy of Scienceses
dc.contributor.funderGobierno de Españaes
dc.contributor.funderGerman Federal Ministry of Education and Researches
dc.contributor.funderComunidad Autónoma de Madrides

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