Carbon footprint estimation of palm oil production systems - impact of land use change and consequences of modeling choices

Abstract

Anticipated growth in global palm oil demand is driving an expansion of Indonesian production, frequently necessitating land-use change (LUC). This study employs consequential life cycle assessment (LCA) integrated with Monte Carlo simulations to estimate the carbon footprint (CF) due to LUC and investigate the sensitivity of these results to modeling choices. Understanding the CF of palm oil, particularly from LUC and through rigorous LCA modeling, is paramount for providing sound advice on greenhouse gas (GHG) mitigation. Converting peatland to oil palm plantations represents the most detrimental scenario regarding climate impact. For example, a10% LUC from peatland alone leads to 5.4 t CO_2eq ha^-1 a^-1, i.e., 54 t ha^-1 peatland converted and 1,350 t CO_2eq ha^-1 over 25 years. Furthermore, the modeling choice for by-product substitution significantly influences CF results, potentially limiting the comparability of findings across different studies. Our analysis demonstrates that the CF of crude palm oil (CPO) varies from 0.26E3 to 1.4E3 kg CO_2eq t^-1 without LUC and 0.85E3 to 1.9E3 kg CO_2eq t^-1 when LUC is included, depending on by-product modeling. Transparency in these modeling choices is paramount for providing robust decision support to policymakers. Finally, a high-potential mitigation strategy involves supporting the smallholder sector, which managed approximately 40% of the 17 million hectares of oil palm plantations in 2021. Increasing smallholder yields from 11 t to 20 t of fresh fruit bunches (FFB) ha^-1 would generate an additional 14 million tons of CPO without further LUC - effectively sparing 3 million ha of land.

Keywords

Peatland / by-product substitution / animal feed / smallholder / GHG / deforestation

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