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Carbon stocks and effluxes in mangroves converted into aquaculture: a case study from Banten Province, Indonesia. Front. Ecol. Evol. 12:1-12. https://doi.org/10.3389/fevo.2024.1340531"},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.3389/fevo.2024.1340531"}}]},{"typeName":"notesText","multiple":false,"typeClass":"primitive","value":"Site name: Pulau Dua Nature Reserve;\r\nSite ID: BAN;\r\nData collection date: 2022;\r\nLatitude: 6°11'5\"S - 6°12'5\"S ;\r\nLongitude: 106°11'38\" E -  106°13'14\" E;\r\nCountry: Indonesia;\r\nLand use or cover type: mangrove forest;\r\nArea sampled: 32.85 ha;\r\nTopography and elevation: Low-lying coastal zone;\r\nDisturbance: ;\r\nPersonel trained: ;\r\nResearch objective(s): Carbon stocks assessment in tropical mangrove forests;\r\nPrincipal contact (name & email): Milkah Royna (m.royna@cifor-icraf.org or roynananamilkah@apps.ipb.ac.id);\r\nProtocol used: Ishikura, K., Hirata, R., Hirano, T., Okimoto, Y., Wong, G. X., Melling, L., et al. (2019). Carbon dioxide and methane emissions from peat soil in an undrained tropical peat swamp forest. Ecosystems. 22, 1852–1868. doi: 10.1007/s10021-019-00376-8;\r\nAssociated publication: Royna M, Murdiyarso D, Sasmito SD, Arriyadi D, Rahajoe JS, Zahro MG, Ardhani TSP. 2024. Carbon stocks and effluxes in mangroves converted into aquaculture: a case study from Banten Province, Indonesia. Front. Ecol. Evol. 12:1-12. https://doi.org/10.3389/fevo.2024.1340531;\r\nPartner(s): United States Agency for International Development (USAID), Bogor Agricultural University (IPB), PT. Rimba Makmur Utama (RMU), National Research and Innovation Agency (BRIN);\r\nData available: CO2 and CH4 flux;\r\nLatest data modification (dd/mm/yyyy): 09/06/2024;"},{"typeName":"language","multiple":true,"typeClass":"controlledVocabulary","value":["English"]},{"typeName":"grantNumber","multiple":true,"typeClass":"compound","value":[{"grantNumberAgency":{"typeName":"grantNumberAgency","multiple":false,"typeClass":"primitive","value":"USAID"}}]},{"typeName":"distributor","multiple":true,"typeClass":"compound","value":[{"distributorName":{"typeName":"distributorName","multiple":false,"typeClass":"primitive","value":"Center for International Forestry Research"},"distributorAbbreviation":{"typeName":"distributorAbbreviation","multiple":false,"typeClass":"primitive","value":"CIFOR"},"distributorURL":{"typeName":"distributorURL","multiple":false,"typeClass":"primitive","value":"https://www.cifor.org/"},"distributorLogoURL":{"typeName":"distributorLogoURL","multiple":false,"typeClass":"primitive","value":"http://www.cifor.org/fileadmin/templatesnew/res/images/logo.gif"}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Sagala, Phidju Marrin"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2024-06-10"},{"typeName":"kindOfData","multiple":true,"typeClass":"controlledVocabulary","value":["assesment data","experimental data","measurement data","numeric data","observation data","survey data"]},{"typeName":"software","multiple":true,"typeClass":"compound","value":[{"softwareName":{"typeName":"softwareName","multiple":false,"typeClass":"primitive","value":"-"}}]},{"typeName":"accessToSources","multiple":false,"typeClass":"primitive","value":"SWAMP Database Management Principles: <a href=\"https://www.cifor.org/swamp/database/metadata/\" target=\"_blank\">Dataset variables</a>"}]},"geospatial":{"displayName":"Geospatial Metadata","fields":[{"typeName":"geographicCoverage","multiple":true,"typeClass":"compound","value":[{"country":{"typeName":"country","multiple":false,"typeClass":"controlledVocabulary","value":"Indonesia"},"state":{"typeName":"state","multiple":false,"typeClass":"primitive","value":"Banten"},"city":{"typeName":"city","multiple":false,"typeClass":"primitive","value":"Serang"}}]},{"typeName":"geographicUnit","multiple":true,"typeClass":"primitive","value":["Degree"]}]},"researchoverview":{"displayName":"Overview of the research","fields":[{"typeName":"researchAreaFocus","multiple":false,"typeClass":"primitive","value":"Tropical mangroves greenhouse gases"},{"typeName":"audience","multiple":false,"typeClass":"primitive","value":"Mangroves researchers and policymakers."},{"typeName":"valueOfData","multiple":false,"typeClass":"primitive","value":"The dataset is valuable for climate change mitigation strategies, especially in providing greenhouse gas baseline information."},{"typeName":"contributorProject","multiple":true,"typeClass":"compound","value":[{"contributorProjectName":{"typeName":"contributorProjectName","multiple":false,"typeClass":"primitive","value":"The Sustainable Wetlands Adaptation and Mitigation Program (SWAMP)"},"contributorProjectCode":{"typeName":"contributorProjectCode","multiple":false,"typeClass":"primitive","value":"PMO-2099"}}]},{"typeName":"ProjectBudgetDescription","multiple":false,"typeClass":"primitive","value":"The Sustainable Wetlands Adaptation and Mitigation Program (SWAMP) is a collaborative effort by the Center for International Forestry Research (CIFOR), the USDA Forest Service (USFS) and Oregon State University with support from the US Agency for International Development (USAID)."},{"typeName":"contributorResearchProgram","multiple":true,"typeClass":"controlledVocabulary","value":["CGIAR Research Program on Forests, Trees and Agroforestry (ForestsTreesAgroforestry)"]},{"typeName":"crpFlagship","multiple":true,"typeClass":"controlledVocabulary","value":["Flagship 5: Forests, trees and agroforestry for climate change adaptation and mitigation"]},{"typeName":"programPriority","multiple":true,"typeClass":"controlledVocabulary","value":["Biodiversity, safeguarding and conservation","Blue carbon and peatlands","Restoration"]}]}},"files":[{"label":"SWAMP Data-GHG flux-Pulau Dua Banten-2023.tab","restricted":false,"version":3,"datasetVersionId":932,"dataFile":{"id":4870,"persistentId":"","pidURL":"","filename":"SWAMP Data-GHG flux-Pulau Dua Banten-2023.tab","contentType":"text/tab-separated-values","filesize":1492,"storageIdentifier":"file1://19005431b48-d4cf34b44c51","originalFileFormat":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","originalFormatLabel":"MS Excel Spreadsheet","originalFileSize":106096,"UNF":"UNF:6:A+vTH2g5loKrzN/5cqgfUA==","rootDataFileId":-1,"md5":"b93f9eaf20d9d1cb7efe2fa0255bc575","checksum":{"type":"MD5","value":"b93f9eaf20d9d1cb7efe2fa0255bc575"},"creationDate":"2024-06-11"}}],"citation":"Milkah Royna; Daniel Murdiyarso; Sigit D. 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