How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations? (ICPSR doi:10.17528/CIFOR/DATA.00285)

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Document Description

Citation

Title:

How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations?

Identification Number:

doi:10.17528/CIFOR/DATA.00285

Distributor:

Center for International Forestry Research (CIFOR)

Date of Distribution:

2022-04-11

Version:

1

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

Study Description

Citation

Title:

How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations?

Identification Number:

doi:10.17528/CIFOR/DATA.00285

Authoring Entity:

Swail. E. (Center for International Forestry Research (CIFOR))

Producer:

Center for International Forestry Center

Software used in Production:

-

Distributor:

Center for International Forestry Research (CIFOR)

Distributor:

Center for International Forestry Research

Access Authority:

Erin Swail

Depositor:

Erlita, Sufiet

Date of Deposit:

2022-04-10

Study Scope

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

Topic Classification:

Climate change

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.

Country:

Indonesia

Geographic Coverage:

Central Kalimantan

Kind of Data:

measurement data

Kind of Data:

spatial data

Kind of Data:

other

Methodology and Processing

Sources Statement

Data Access

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>.

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

Swails, E., Hergoualc'h, K., Deng, J., Frolking, S., Novita, . 2022-05-30. How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations?.  Science of The Total Environment 839156153.

Other Study-Related Materials

Label:

DB_Raw_Data_ESwails.xlsx

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Other Study-Related Materials

Label:

DB_Summary_Data_ESwails.xlsx

Notes:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet