This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
Water-efficient Indian rice cultivation boosts exports despite high carbon footprints
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Abstract
Most agricultural sustainability efforts adopt a national-scale view, masking regional trade-offs between crop yields and environmental footprints. To measure trade-offs, satellite remote sensing based life cycle assessment of rice agroecosystems across India from 2004 to 2021 was conducted revealing pivotal shifts of four cultivation typologies, termed as unsustainable, conventional, productive, and sustainable. Over the period, sustainable and productive rice areas expanded by ~32% and ~40% respectively, while unsustainable and conventional areas declined by ~68% and ~60%. Paradoxically, the most water-efficient sustainable typology at ~339.9 mm/ha generated the largest carbon footprint at ~2066.6 kg C/ha due to residue burning. We calculate that a complete transition to sustainable cultivation could boost India’s export revenues by 60% to USD 15.59 billion, while shifting to unsustainable cultivation could halve export revenues. Projections to 2031 show both sustainable and unsustainable typologies becoming dominant, covering 58% of India’s rice areas, highlighting the need for region-specific policies.
DOI
https://doi.org/10.31223/X5DN3T
Subjects
Agriculture, Earth Sciences, Environmental Sciences, Life Sciences, Physical Sciences and Mathematics, Planetary Sciences, Plant Sciences
Keywords
Life Cycle Assessment, Rice Cultivation, Sustainability, Rice Exports, Water Use Efficiency, Satellite remote sensing
Dates
Published: 2026-03-03 06:06
Last Updated: 2026-03-03 06:06
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability:
All the data used in this study are publicly available or will be made available via Zenodo upon acceptance. These include the following datasets: MODIS burned areas79, MODIS evapotranspiration80, GPM precipitation81, rice area and yield maps78, ICRISAT district level agricultural statistics56, ground water depths62, rice exports data19, and methane and nitrous oxide emissions from rice fields10,11
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