Abstract
Although soil health indicator is extensively examined worldwide, Japan has yet to establish a soil health assessment framework calibrated to the unique properties of Andosols. In this study, we evaluated a long-term (19-year) organically managed soybean field and generated soil health scores using a cumulative normal distribution function to develop a site-specific benchmark. Treatments were tillage (no-tillage, moldboard plowing, and rotary tillage), cover crop (rye, hairy vetch, and fallow), and the addition of fertilizer or biochar in four replications. Intensive tillage reduced soil health, with soil health score under moldboard plowing significantly lower than no-tillage during 2020–2022 (p < 0.05). No-tillage with cover crop and biochar enhanced soil health status by sustaining soil organic carbon (SOC) at 3.8–4.8%. Overall soil health score was positively correlated with SOC (r = 0.7; p < 0.01), while higher soil health score was strongly associated with reductions in net global warming potential (rs = − 0.95; p < 0.01). SOC emerged as one of the most influential indicators, directly influenced soil ß-glucosidase activity (r = 0.84, p < 0.001), substrate-induced respiration (r = 0.7, p < 0.001), NO3– (r = 0.65, p < 0.05), and EC (r = 0.36, p < 0.01). Although NT-based systems may not achieve the highest yields due to interannual variability, they may offer substantial environmental benefits by contributing to long-term climate change mitigation.
Data availability
The research data supporting the results of this manuscript are available from the corresponding author upon reasonable request. Due to institutional regulations, the dataset cannot be made publicly available.
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Acknowledgements
A part of this research was conducted with the support of the Educational and Research Operating Funds of Ibaraki University.
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A part of this research was conducted with the support of the Educational and Research Operating Funds of Ibaraki University.
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R.K.D.: Methodology, investigation, formal analysis, data curation, writing an original draft. Q.H.: Investigation, data curation and review. R.H.: Investigation, data curation and review. S.S.: Data curation and review. J.Y.: Data curation and review. N.S.: Data curation and review. M.K.: Conceptualization, methodology, supervision, review and editing, and validation. All authors contributed to concept and development, data interpretation, and writing.
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Dewi, R.K., Huang, Q., Hashimi, R. et al. Soil health improvement and climate change mitigation in soybean agroecosystems. Sci Rep (2026). https://doi.org/10.1038/s41598-026-45849-8
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DOI: https://doi.org/10.1038/s41598-026-45849-8