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Land-use optimization for food security, bioenergy and forest conservation in Indonesia

Abstract

Indonesia’s energy and food security policy priorities include achieving a biodiesel fuel blending ratio of 50% (B50) and self-sufficiency in rice production through the development of nationally planned food estates. However, these initiatives pose substantial challenges, including the threats of mass deforestation, land conversion and emissions, as well as competition between food and energy crops. Here we assess the potential land-use and emissions implications of meeting Indonesia’s ambitious biodiesel targets and rice production goals. Using an improved high-resolution land cover map, multicriteria evaluation and production scenario modelling, we analyse the spatial trade-offs between forest conservation, food security and biofuel expansion. Our findings indicate that achieving the biodiesel B50 target by 2030 will require extensive land conversion, including 4.85–8.55 million hectares of land, while efforts to achieve rice self-sufficiency could convert up to 2.3 million hectares, with notable overlap between food and energy production zones. Associated emissions—360–3,753 MtCO2e for oil palm and 509–1,297 MtCO2e for rice—could surpass historic emissions events, undermining Indonesia’s climate commitments. This research underscores the need for more integrated land-use planning balancing economic development with environmental sustainability and calls for enhanced policy frameworks that mitigate trade-offs between food and energy production.

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Fig. 1: Methodological framework: MCE, mapping and production scenario calculation methods.
Fig. 2: Land cover change under different land constraint and oil palm production scenarios.
Fig. 3: Land conversion by island and land cover change by land constraint and production scenario for rice. Inner rings display the overall land cover category converted, while outer rings depict the share of each land cover class converted.
Fig. 4: Joint rice and oil palm results by scenario.
Fig. 5: Emissions by crop, land constraint and production scenario, with bars showing the upper- and lower-bound estimates.
Fig. 6: Improved yield under intensification, compared with the current yield gap for each production scenario.

Data availability

Data for Figs. 2–6 are available via GitHub at https://github.com/Jiehonglou/Indonesia-land-use-dilemma. Source data are provided with this paper.

Code availability

We processed data using R, ArcGIS and ArcPy. We produced maps using ArcGIS and graphs using R, Excel and draw.io. All relevant codes are available via GitHub at https://github.com/Jiehonglou/Indonesia-land-use-dilemma.

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Acknowledgements

We thank Greenpeace Indonesia, H. Baral, A. M. Maulana and D. Gaveau for assistance in data collection. We also thank participants and attendees of the conference ‘Indonesia’s Role in Addressing Climate Change in Southeast Asia’ hosted by the University of Maryland School of Public Policy on August 15, 2024 and CGS Research Seminar attendees for their valuable comments.

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C.V.S., J.L. and T.C.H. conceptualized the study. J.L supervised the project. C.V.S., K.J.P., M.A.S., L.C.L. and K.S. collected data. K.J.P. contributed to land cover map creation. M.A.S. contributed to development of spatial analysis methods. C.V.S. conducted the analysis and wrote the initial draft. C.V.S. and K.S. contributed to the visualizations. C.V.S., K.J.P., J.L., T.C.H. and L.C.L. contributed to the drafting of the manuscript, and C.V.S., J.L. and M.A.S. edited the final manuscript. A.S. and N.H. reviewed the manuscript and provided comments.

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Correspondence to
Jiehong Lou.

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Supplementary Methods 1–9, Tables 2.1–2.19 and Results 3.1–3.11.

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Excel sheet that includes sources for each food estate in each Indonesian province, used in Fig. 1 and analysis.

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Squire, C.V., Lou, J., Parker, K.J. et al. Land-use optimization for food security, bioenergy and forest conservation in Indonesia.
Nat Sustain (2026). https://doi.org/10.1038/s41893-026-01923-7

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