{"dcterms:modified":"2026-07-04","dcterms:creator":"A Dataverse Instance","@type":"ore:ResourceMap","@id":"https://data.cifor.org/api/datasets/export?exporter=OAI_ORE&persistentId=doi:10.17528/CIFOR/DATA.00330","ore:describes":{"citation:Production Date":"2026","citation:Distribution Date":"2026-05-07","researchoverview:Research Area Focus":"Tropical ecology, soil respiration, carbon cycling, land-use change, peatland ecosystems, oil palm systems, and environmental biogeochemistry.","researchoverview:Value of The Data":"The dataset provides high-resolution spatio-temporal observations of soil respiration and litterfall dynamics across tropical land-use systems in Indonesia, supporting research on carbon cycling, land-use change, peatland ecology, and climate-related ecosystem processes.","citation:Production Place":"Bogor, Indonesia","researchoverview:Project Description":"The Sustainable Wetlands Adaptation and Mitigation Program (SWAMP) and its predecessor The Wetlands Initiative for Climate Adaptation and Mitigation program have been running for 10 years. They were designed to meet an ambitious goal, to generate credible wetlands science for public policy making. These collaborative programs between CIFOR and United States Forest Service have been generously supported by USAID and implemented in almost 30 countries across the tropics. SWAMP continues to generate knowledge to be delivered to policy community and other decision-making bodies, supported by new funding from USAID. The specific objectives of this new phase of SWAMP are: - Generate new multi-disciplinary knowledge in wetland science to address current gaps, such as wetlands and climate change feedback (e.g. release of soil carbon in peats) or the role of wetlands in improving the resilience of coastal communities against extreme disturbances (fires, hurricanes, droughts, and spontaneous dieback). - Inform global stakeholders on the advances of wetland science to help shape their climate change and risk reduction agendas. - Work with national stakeholders to identify governance arrangements (including policy design and implementation) across multiple levels that will enhance resource sustainability as well as climate change adaptation and mitigation, including innovative financing mechanisms. - Support local stakeholders by building their capacity to implement direct actions on the ground to achieve sustainable and equitable livelihoods and enhance their resilience.","researchoverview:Intended Audiences":"Researchers, environmental scientists, ecologists, biogeochemists, climate scientists, land-use planners, and policy stakeholders working on tropical ecosystems, carbon dynamics, and sustainable land management.","citation:Producer":{"producer:Name":"Center for International Forestry Research","producer:Abbreviation":"CIFOR","producer:URL":"https://www.cifor-icraf.org/","producer:Logo URL":"http://www.cifor.org/fileadmin/templatesnew/res/images/logo.gif"},"citation:Topic Classification":{"topicClassification:Term":"Climate change"},"researchoverview:Project Information":{"contributorProject:Project Title":"Mainstreaming Wetlands into the Climate Agenda: A multi-level approach (SWAMP-II)","contributorProject:PMO/Project Code":"USAD-1651"},"Time Period Covered":{"timePeriodCovered:Start":"2021-01-01","timePeriodCovered:End":"2021-03-31"},"Kind of Data":["spatial data","measurement data"],"Language":"English","Subject":"Climate Change, Energy and low carbon development (CCE)","Title":"Supporting raw data of the paper \"Soil respiration and litterfall dynamics along a forest-to-oil palm plantation transition in an Indonesian peatland\"","citation:Depositor":"Erlita, Sufiet","Deposit Date":"2026-05-07","citation:Description":{"dsDescription:Text":"This dataset contains monthly field measurements collected from permanent soil collars, fertilization experiments, and litterfall traps established in forest and oil palm ecosystems in Jambi, Indonesia. The data were generated to evaluate the spatio-temporal variability of soil respiration and litterfall dynamics across a land-use change gradient, ranging from primary forest to degraded forest and oil palm plantations.\r\n\r\nThe dataset includes repeated measurements of soil CO₂ flux, litterfall production, soil temperature, air temperature, water table depth, and associated experimental treatment variables. Measurements were collected using LiCOR instrumentation and replicated across spatial positions and time periods to capture environmental heterogeneity and temporal dynamics."},"Software":{"software:Name":"-"},"geospatial:Geographic Coverage":{"geographicCoverage:Country / Nation":"Indonesia","geographicCoverage:State / Province":"Jambi"},"citation:Contact":{"datasetContact:Name":"CIFOR-RDM","datasetContact:Affiliation":"Center for International Forestry Research (CIFOR)","datasetContact:E-mail":"cifor-rdm@cgiar.org"},"Author":{"author:Name":"Swail, E.","author:Affiliation":"Center for International Forestry Research (CIFOR)"},"citation:Distributor":{"distributor:Name":"Center for International Forestry Research","distributor:Abbreviation":"CIFOR","distributor:URL":"https://www.cifor-icraf.org/","distributor:Logo URL":"http://www.cifor.org/fileadmin/templatesnew/res/images/logo.gif"},"Grant Information":{"grantNumber:Grant Agency":"United States Agency for International Development"},"Related Publication":{"ID Type":"doi"},"citation:Keyword":[{"keyword:Term":"peatlands","keyword:Vocabulary":"AGROVOC","keyword:Vocabulary URL":"http://aims.fao.org/aos/agrovoc/c_13929"},{"keyword:Term":"oil palms","keyword:Vocabulary":"AGROVOC","keyword:Vocabulary URL":"http://aims.fao.org/aos/agrovoc/c_5330"},{"keyword:Term":"plantations","keyword:Vocabulary":"AGROVOC","keyword:Vocabulary URL":"http://aims.fao.org/aos/agrovoc/c_5990"},{"keyword:Term":"soil","keyword:Vocabulary":"AGROVOC","keyword:Vocabulary URL":"http://aims.fao.org/aos/agrovoc/c_7156"},{"keyword:Term":"air temperature","keyword:Vocabulary":"AGROVOC","keyword:Vocabulary URL":"http://aims.fao.org/aos/agrovoc/c_230"},{"keyword:Term":"environmental air temperature","keyword:Vocabulary":"AGROVOC","keyword:Vocabulary URL":"http://aims.fao.org/aos/agrovoc/c_34204"},{"keyword:Term":"soil temperature","keyword:Vocabulary":"AGROVOC","keyword:Vocabulary URL":"http://aims.fao.org/aos/agrovoc/c_7197"},{"keyword:Term":"groundwater table","keyword:Vocabulary":"AGROVOC","keyword:Vocabulary URL":"http://aims.fao.org/aos/agrovoc/c_16075"}],"@id":"doi:10.17528/CIFOR/DATA.00330","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:datePublished":"2026-05-07","schema:name":"Supporting raw data of the paper \"Soil respiration and litterfall dynamics along a forest-to-oil palm plantation transition in an Indonesian peatland\"","schema:dateModified":"Thu May 07 07:48:57 UTC 2026","dvcore:termsOfUse":"\"Creative\r\n
These data and documents are licensed under a \r\n Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper \r\ndata citation.","dvcore:fileTermsOfAccess":{"dvcore:termsOfAccess":"CC BY 4.0","dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"Center for International Forestry Research (CIFOR)","ore:aggregates":[{"schema:description":"This dataset contains field measurements of soil CO₂ flux and associated environmental variables collected from peat forest, degraded forest, and oil palm sites in 2012. Measurements were conducted using a LiCOR gas analyzer under different trenching and fertilization treatments. Supporting variables include soil temperature, air temperature, water table depth, litterfall, and spatial sampling position.","schema:name":"DB_Raw_Data_Sumatra_CO2.tab","dvcore:restricted":true,"schema:version":3,"dvcore:datasetVersionId":983,"@id":"https://data.cifor.org/file.xhtml?fileId=5010","schema:sameAs":"https://data.cifor.org/api/access/datafile/5010","@type":"ore:AggregatedResource","schema:fileFormat":"text/tab-separated-values","dvcore:filesize":3578,"dvcore:storageIdentifier":"file1://19e01571a45-fc94411c8fd8","dvcore:originalFileFormat":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","dvcore:originalFormatLabel":"MS Excel Spreadsheet","dvcore:UNF":"UNF:6:d1NIvYzfxdkYL9b+aiQqVw==","dvcore:rootDataFileId":-1,"dvcore:checksum":{"@type":"MD5","@value":"23be46b9b1fe3ea73b26529f3065b557"}}],"schema:hasPart":["https://data.cifor.org/file.xhtml?fileId=5010"]},"@context":{"Author":"http://purl.org/dc/terms/creator","Deposit Date":"http://purl.org/dc/terms/dateSubmitted","Grant Information":"https://schema.org/sponsor","ID Type":"http://purl.org/spar/datacite/ResourceIdentifierScheme","Kind of Data":"http://rdf-vocabulary.ddialliance.org/discovery#kindOfData","Language":"http://purl.org/dc/terms/language","Related Publication":"http://purl.org/dc/terms/isReferencedBy","Software":"https://www.w3.org/TR/prov-o/#wasGeneratedBy","Subject":"http://purl.org/dc/terms/subject","Time Period Covered":"https://schema.org/temporalCoverage","Title":"http://purl.org/dc/terms/title","author":"https://dataverse.org/schema/citation/author#","citation":"https://dataverse.org/schema/citation/","contributorProject":"https://data.cifor.org/schema/researchoverview/contributorProject#","datasetContact":"https://dataverse.org/schema/citation/datasetContact#","dcterms":"http://purl.org/dc/terms/","distributor":"https://dataverse.org/schema/citation/distributor#","dsDescription":"https://dataverse.org/schema/citation/dsDescription#","dvcore":"https://dataverse.org/schema/core#","geographicCoverage":"https://data.cifor.org/schema/geospatial/geographicCoverage#","geospatial":"https://data.cifor.org/schema/geospatial#","grantNumber":"https://dataverse.org/schema/citation/grantNumber#","keyword":"https://dataverse.org/schema/citation/keyword#","ore":"http://www.openarchives.org/ore/terms/","producer":"https://dataverse.org/schema/citation/producer#","researchoverview":"https://data.cifor.org/schema/researchoverview#","schema":"http://schema.org/","software":"https://dataverse.org/schema/citation/software#","timePeriodCovered":"https://dataverse.org/schema/citation/timePeriodCovered#","topicClassification":"https://dataverse.org/schema/citation/topicClassification#"}}