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Part 1: Document Description
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Citation |
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Title: |
How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations? |
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Identification Number: |
doi:10.17528/CIFOR/DATA.00285 |
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Distributor: |
Center for International Forestry Research (CIFOR) |
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Date of Distribution: |
2022-04-11 |
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Version: |
1 |
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Bibliographic Citation: |
Swail, E., 2022, "How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations?", https://doi.org/10.17528/CIFOR/DATA.00285, Center for International Forestry Research (CIFOR), V1 |
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Citation |
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Title: |
How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations? |
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Identification Number: |
doi:10.17528/CIFOR/DATA.00285 |
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Authoring Entity: |
Swail, E. (Center for International Forestry Research (CIFOR)) |
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Producer: |
Center for International Forestry Center |
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Date of Production: |
2022 |
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Software used in Production: |
- |
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Distributor: |
Center for International Forestry Research (CIFOR) |
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Distributor: |
Center for International Forestry Research |
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Access Authority: |
Erin Swail |
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Depositor: |
Erlita, Sufiet |
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Date of Deposit: |
2022-04-10 |
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Date of Distribution: |
2022 |
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Study Scope |
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Keywords: |
Climate Change, Energy and low carbon development (CCE), Earth and Environmental Sciences, peatlands, oil palms, plantations, soil respiration, air temperature, soil temperature, groundwater level, moisture content, soil water content, soil density |
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Topic Classification: |
Climate change |
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Abstract: |
The supporting information contains four databases. The first two (DBCollar-CO2 and DBCollar-N2O&CH4) present data collected monthly at each plot. The third one (DBSoilMoisture) presents data collected monthly for bulk density, soil moisture and WFPS detemination. The fourth one (DBLitterfall) presents data collected monthly in litterfall traps placed in the forest. |
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Country: |
Indonesia |
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Geographic Coverage: |
Central Kalimantan |
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Kind of Data: |
measurement data |
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Kind of Data: |
spatial data |
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Kind of Data: |
other |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/licenses/by/4.0/" target="_blank" rel="nofollow"><img alt="Creative Commons License" src="https://i.creativecommons.org/l/by/4.0/88x31.png"></a> <br> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank" rel="nofollow"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank" rel="nofollow">data citation</a>. |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
https://doi.org/10.1016/j.scitotenv.2022.156153 |
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Bibliographic Citation: |
Swails, E., Hergoualc'h, K., Deng, J., Frolking, S., Novita . 2022. How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations?. Science of The Total Environment 839156153. |
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Label: |
DB_Raw_Data_ESwails.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
DB_Summary_Data_ESwails.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |