| Issue |
BIO Web Conf.
Volume 246, 2026
Sriwijaya International Conference on Smart and Integrated Agriculture System (1st SRI-ICAS 2026)
|
|
|---|---|---|
| Article Number | 00022 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/bioconf/202624600022 | |
| Published online | 22 July 2026 | |
Microbial Gene-Based Prediction of Methane Emission Potential in Tropical Peatlands for Climate Resilience
1 Soil Science Doctoral Program, IPB University, Bogor, Indonesia
2 Department of Soil Science, IPB University, Bogor, Indonesia
3 Biotechnology Center, IPB University, Bogor, Indonesia
4 Badan Riset dan Inovasi Nasional, Bogor, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Tropical peatlands as carbon reservoirs play an important role in greenhouse gases regulation, which impact global climate change. Conversion of peatland into agricultural, plantation or managed production systems with drainage alters soil properties and influences methane emission. Microorganisms are key agents driving this process, but there is still limited understanding of how land-use change and soil moisture influence bacterial community and predicted methanogenesis gene marker. This study aims to predict methane emission potential in tropical peatlands by analysing soil bacterial community composition using next-generation sequencing across different land uses and soil moisture condition to predict methane emission potential. Soil samples were collected from eight land use types (flooded oil palm plantation, drained oil palm plantation, small holder oil palm plantation, rubber-pineapple mixed cropping, natural revegetation forest, revegetated jelutong forest, shrubland and ex-plot paludiculture) at two depths (0-15 cm and 15-30 cm), with three replications for each depth. Bacterial community composition was characterised using 16S rRNA amplicon sequencing, and the resulting taxonomic profiles were further analysed using PICRUSt to infer the potential abundance of functional genes associated with methanogenesis and correlation with soil moisture content. Soil moisture content was higher in the deeper soil layer. Increasing soil moisture significantly enhances the abundance of the meth-acetate pathway, which is predicted to result in higher methane emissions.
© The Authors, published by EDP Sciences, 2026
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