Dataset of Global estimates of seagrass blue carbon stocks in biomass and net primary production [Dataset]
This dataset compiles comprehensive measurements of seagrass biomass and productivity from global studies, integrating both aboveground and belowground compartments. It includes standardized estimates of aboveground biomass, belowground biomass, total biomass, and above- , below-ground and total net...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Tipo de recurso: | conjunto de datos |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:dnet:digitalcsic_::11899abd819d4f9710f5b84ef8a1cd84 |
| Acceso en línea: | http://hdl.handle.net/10261/406122 |
| Access Level: | acceso abierto |
| Palabra clave: | http://metadata.un.org/sdg/14 Conserve and sustainably use the oceans, seas and marine resources for sustainable development |
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Dataset of Global estimates of seagrass blue carbon stocks in biomass and net primary production [Dataset]Gomis, EnricStrydom, SimoneFoster, Nicole R.Montemayor, DianaMateo, Miguel ÁngelSerrano, EduardInostroza, KarinaMcCallum, RoisinLafratta, AnnaWebster, ChanelleO'Dea, Caitlyn M.Said, Nicole E.Dunham, NatashaBernasconi, RacheleWerner, AxelVitelli, FedericoPuigcorbé, VienaD'Cruz, AlexandraSalinas, CristianMcMahon, Kathryn M.Hyndes, GlennLavery, Paul S.Pessarrodona, AlbertDuarte, Carlos M.Serrano, Oscarhttp://metadata.un.org/sdg/14Conserve and sustainably use the oceans, seas and marine resources for sustainable developmentThis dataset compiles comprehensive measurements of seagrass biomass and productivity from global studies, integrating both aboveground and belowground compartments. It includes standardized estimates of aboveground biomass, belowground biomass, total biomass, and above- , below-ground and total net primary production (NPP), reported across a wide range of geographic regions and time periods. Each record is paired with metadata on genera and seagrass bioregion. Aslo, the dataset also incorporates values for the percentage of carbon content in seagrass biomass specific for each genera, enabling carbon stock assessments. Carbon data are aligned with biomass compartments (above, below, and total), allowing for detailed estimations of carbon standing stocks and productionThis research was supported by I + D + i projects RYC2019-027073-I and MEDCHANGE funded by MCIN/AEI/10.13039/501100011033. E.G. was supported by “Pla de Doctorats Industrials del Departament de Recerca i Universitats de la Generalitat de Catalunya”. N.R.F. was supported by the European Union's Horizon Europe Training and mobility actions under the Marie Skłodowska Curie grant 101105307-POSIDONIArXivThis work contributes to the Institut de Ciències del Mar "Severo Ochoa Centre of Excellence" accreditation CEX2024-001494-S funded by AEI 10.13039/501100011033 of the Spanish Ministry of Science and InnovationPeer reviewedSpringer NatureAgencia Estatal de Investigación (España)European CommissionMinisterio de Ciencia e Innovación (España)Generalitat de CatalunyaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1Publisher's versioninfo:eu-repo/semantics/publishedVersionExcel file (.xlsx)http://hdl.handle.net/10261/406122reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/HE/101105307Gomis, Enric; Strydom, Simone; Foster, Nicole R.; Montemayor, Diana; Mateo, Miguel Ángel; Serrano, Eduard; Inostroza, Karina; McCallum, Roisin; Lafratta, Anna; Webster, Chanelle; O'Dea, Caitlyn M.; Said, Nicole E.; Dunham, Natasha; Bernasconi, Rachele; Werner, Axel; Vitelli, Federico; Puigcorbé, Viena; D'Cruz, Alexandra; Salinas, Cristian; McMahon, Kathryn M.; Hyndes, Glenn; Lavery, Paul S.; Pessarrodona, Albert; Duarte, Carlos M.; Serrano, Oscar. Global estimates of seagrass blue carbon stocks in biomass and net primary production. Nature Communications 16: 9530 (2025). https://doi.org/10.1038/s41467-025-64667-6. http://hdl.handle.net/10261/406105Excelhttps://doi.org/10.6084/m9.figshare.29327630Síinfo:eu-repo/semantics/openAccessoai:dnet:digitalcsic_::11899abd819d4f9710f5b84ef8a1cd842026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Dataset of Global estimates of seagrass blue carbon stocks in biomass and net primary production [Dataset] |
| title |
Dataset of Global estimates of seagrass blue carbon stocks in biomass and net primary production [Dataset] |
| spellingShingle |
Dataset of Global estimates of seagrass blue carbon stocks in biomass and net primary production [Dataset] Gomis, Enric http://metadata.un.org/sdg/14 Conserve and sustainably use the oceans, seas and marine resources for sustainable development |
| title_short |
Dataset of Global estimates of seagrass blue carbon stocks in biomass and net primary production [Dataset] |
| title_full |
Dataset of Global estimates of seagrass blue carbon stocks in biomass and net primary production [Dataset] |
| title_fullStr |
Dataset of Global estimates of seagrass blue carbon stocks in biomass and net primary production [Dataset] |
| title_full_unstemmed |
Dataset of Global estimates of seagrass blue carbon stocks in biomass and net primary production [Dataset] |
| title_sort |
Dataset of Global estimates of seagrass blue carbon stocks in biomass and net primary production [Dataset] |
| dc.creator.none.fl_str_mv |
Gomis, Enric Strydom, Simone Foster, Nicole R. Montemayor, Diana Mateo, Miguel Ángel Serrano, Eduard Inostroza, Karina McCallum, Roisin Lafratta, Anna Webster, Chanelle O'Dea, Caitlyn M. Said, Nicole E. Dunham, Natasha Bernasconi, Rachele Werner, Axel Vitelli, Federico Puigcorbé, Viena D'Cruz, Alexandra Salinas, Cristian McMahon, Kathryn M. Hyndes, Glenn Lavery, Paul S. Pessarrodona, Albert Duarte, Carlos M. Serrano, Oscar |
| author |
Gomis, Enric |
| author_facet |
Gomis, Enric Strydom, Simone Foster, Nicole R. Montemayor, Diana Mateo, Miguel Ángel Serrano, Eduard Inostroza, Karina McCallum, Roisin Lafratta, Anna Webster, Chanelle O'Dea, Caitlyn M. Said, Nicole E. Dunham, Natasha Bernasconi, Rachele Werner, Axel Vitelli, Federico Puigcorbé, Viena D'Cruz, Alexandra Salinas, Cristian McMahon, Kathryn M. Hyndes, Glenn Lavery, Paul S. Pessarrodona, Albert Duarte, Carlos M. Serrano, Oscar |
| author_role |
author |
| author2 |
Strydom, Simone Foster, Nicole R. Montemayor, Diana Mateo, Miguel Ángel Serrano, Eduard Inostroza, Karina McCallum, Roisin Lafratta, Anna Webster, Chanelle O'Dea, Caitlyn M. Said, Nicole E. Dunham, Natasha Bernasconi, Rachele Werner, Axel Vitelli, Federico Puigcorbé, Viena D'Cruz, Alexandra Salinas, Cristian McMahon, Kathryn M. Hyndes, Glenn Lavery, Paul S. Pessarrodona, Albert Duarte, Carlos M. Serrano, Oscar |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Agencia Estatal de Investigación (España) European Commission Ministerio de Ciencia e Innovación (España) Generalitat de Catalunya Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
http://metadata.un.org/sdg/14 Conserve and sustainably use the oceans, seas and marine resources for sustainable development |
| topic |
http://metadata.un.org/sdg/14 Conserve and sustainably use the oceans, seas and marine resources for sustainable development |
| description |
This dataset compiles comprehensive measurements of seagrass biomass and productivity from global studies, integrating both aboveground and belowground compartments. It includes standardized estimates of aboveground biomass, belowground biomass, total biomass, and above- , below-ground and total net primary production (NPP), reported across a wide range of geographic regions and time periods. Each record is paired with metadata on genera and seagrass bioregion. Aslo, the dataset also incorporates values for the percentage of carbon content in seagrass biomass specific for each genera, enabling carbon stock assessments. Carbon data are aligned with biomass compartments (above, below, and total), allowing for detailed estimations of carbon standing stocks and production |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2025 2025 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/dataset http://purl.org/coar/resource_type/c_ddb1 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
dataset |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/406122 |
| url |
http://hdl.handle.net/10261/406122 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/HE/101105307 Gomis, Enric; Strydom, Simone; Foster, Nicole R.; Montemayor, Diana; Mateo, Miguel Ángel; Serrano, Eduard; Inostroza, Karina; McCallum, Roisin; Lafratta, Anna; Webster, Chanelle; O'Dea, Caitlyn M.; Said, Nicole E.; Dunham, Natasha; Bernasconi, Rachele; Werner, Axel; Vitelli, Federico; Puigcorbé, Viena; D'Cruz, Alexandra; Salinas, Cristian; McMahon, Kathryn M.; Hyndes, Glenn; Lavery, Paul S.; Pessarrodona, Albert; Duarte, Carlos M.; Serrano, Oscar. Global estimates of seagrass blue carbon stocks in biomass and net primary production. Nature Communications 16: 9530 (2025). https://doi.org/10.1038/s41467-025-64667-6. http://hdl.handle.net/10261/406105 Excel https://doi.org/10.6084/m9.figshare.29327630 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Excel file (.xlsx) |
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Springer Nature |
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Springer Nature |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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15,81155 |