Net greenhouse gas balance of fibre wood plantation on peat in Indonesia
- PMID: 37020018
- PMCID: PMC10132972
- DOI: 10.1038/s41586-023-05860-9
Net greenhouse gas balance of fibre wood plantation on peat in Indonesia
Abstract
Tropical peatlands cycle and store large amounts of carbon in their soil and biomass1-5. Climate and land-use change alters greenhouse gas (GHG) fluxes of tropical peatlands, but the magnitude of these changes remains highly uncertain6-19. Here we measure net ecosystem exchanges of carbon dioxide, methane and soil nitrous oxide fluxes between October 2016 and May 2022 from Acacia crassicarpa plantation, degraded forest and intact forest within the same peat landscape, representing land-cover-change trajectories in Sumatra, Indonesia. This allows us to present a full plantation rotation GHG flux balance in a fibre wood plantation on peatland. We find that the Acacia plantation has lower GHG emissions than the degraded site with a similar average groundwater level (GWL), despite more intensive land use. The GHG emissions from the Acacia plantation over a full plantation rotation (35.2 ± 4.7 tCO2-eq ha-1 year-1, average ± standard deviation) were around two times higher than those from the intact forest (20.3 ± 3.7 tCO2-eq ha-1 year-1), but only half of the current Intergovernmental Panel on Climate Change (IPCC) Tier 1 emission factor (EF)20 for this land use. Our results can help to reduce the uncertainty in GHG emissions estimates, provide an estimate of the impact of land-use change on tropical peat and develop science-based peatland management practices as nature-based climate solutions.
© 2023. The Author(s).
Conflict of interest statement
C.D.E., S.E.P., S.S., F.A. and D.A. contributed to this paper as part of their role in the Independent Peat Expert Working Group (IPEWG), which was set up by Asia Pacific Resources International Ltd. (APRIL) to provide objective science-based advice on peatland management. The contribution of A.R.D. was also supported by APRIL to provide technical guidance on the eddy covariance data processing, including quality controls and gap-filling protocols. C.S.D., Nardi, A.P.S., Nurholis, M.H., A.R., R.E.M., S.K. and Y.S. are employed by APRIL to conduct field measurements, including eddy covariance instruments maintenance and calibration. The funders had no role in the interpretation of data, in the writing of the manuscript or in the decision to publish the results. The authors declare that all views expressed are their own.
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