How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations?
Center for International Forestry Research (CIFOR) Dataverse OAI Archive
View Archive InfoField | Value | |
Title |
How can process-based modeling improve peat CO2 and N2O emission factors for oil palm plantations?
|
|
Identifier |
https://doi.org/10.17528/CIFOR/DATA.00285
|
|
Creator |
Swail, E.
|
|
Publisher |
Center for International Forestry Research (CIFOR)
|
|
Description |
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.
|
|
Subject |
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 |
|
Language |
English
|
|
Date |
2022
|
|
Contributor |
Erlita, Sufiet
|
|
Type |
measurement data
spatial data other |
|