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Stabilization of acidification in China’s cropland soils

Abstract

China’s cropland soil has faced acidification since the latter half of the twentieth century; however, the temporal and spatial variations of this are poorly known. Here we analyse cropland soil acidification using 7,024 regional surveys and a machine learning model to project spatiotemporal variations in cropland topsoil pH across China from 1985 to 2040. Our results reveal a turning point in China’s agricultural soil chemistry: consistent acidification from the 1980s ceased as a whole around 2013 (with a cumulative pH decline of ~0.25 units during 1985–2013), correlating strongly with changes in nitrogen fertilizer application patterns consequent to agricultural policy reforms. Regional heterogeneity was observed, with paddy fields exhibiting pH recovery post-2013 while values in dryland soils remained largely static since 2000. These findings underscore the critical role of agricultural policy and nitrogen fertilizer management in shaping soil health dynamics. This Article offers guidance for sustainable agriculture in China while providing insights applicable to global farming practices.

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Fig. 1: Chemical N fertilizer consumption and cropland soil pH trends.
Fig. 2: Trends in soil pH in paddy and dryland soils.
Fig. 3: Spatial distribution and temporal changes of soil pH in China’s cropland.
Fig. 4: Delineation of nine major agricultural zones and the trend of pH value of cropland soils (1985–2040).

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Data availability

All datasets analysed during this study are available in public repositories. Soil type, parent material and soil texture (sand, silt, and clay content) were acquired from the National Earth System Science Data Center (http://soil.geodata.cn and http://www.geodata.cn). Temperature, precipitation and PM10 data were sourced from the National Tibetan Plateau/Third Pole Environment Data Center (https://data.tpdc.ac.cn/home and https://doi.org/10.5281/zenodo.3752465). NHx-N and NOy-N deposition data were obtained from https://doi.org/10.1594/PANGAEA.942069 (ref. 55). Chemical N fertilizer consumption, rice yield, wheat yield and corn yield data originated from the China Statistical Yearbook (1981-2022), published by the National Bureau of Statistics of China (https://data.stats.gov.cn/publish.htm?sort=1). Land-use type data (https://geodata.pku.edu.cn/index.php?c=content&a=show&id=173) were derived from the China Multi-Period Land Use Land Cover Remote Sensing Monitoring Dataset (CNLUCC). The source data required to generate the figures in this study are available via figshare at https://doi.org/10.6084/m9.figshare.29108045.v2 (ref. 68). Data for the predictors can also be found in the Supplementary Information. Regional soil pH data are protected and are not available owing to data privacy laws.

Code availability

The codes for this study are available via Figshare at https://doi.org/10.6084/m9.figshare.29108045.v2 (ref. 68).

References

  1. Tian, D. & Niu, S. A global analysis of soil acidification caused by nitrogen addition. Environ. Res. Lett. 10, 024019 (2015).

    Article  Google Scholar 

  2. Sumner, M. E. & Noble, A. D. in Handbook of Soil Acidity (ed. Rengel, Zdenko) 15–42 (CRC Press, 2003).

  3. Bronick, C. J. & Lal, R. Soil structure and management: a review. Geoderma 124, 3–22 (2005).

    Article  CAS  Google Scholar 

  4. Raza, S. et al. Inorganic carbon losses by soil acidification jeopardize global efforts on carbon sequestration and climate change mitigation. J. Clean. Prod. 315, 128036 (2021).

    Article  CAS  Google Scholar 

  5. Guo, J. H. et al. Significant acidification in major chinese croplands. Science 327, 1008–1010 (2010).

    Article  CAS  Google Scholar 

  6. Malik, A. A. et al. Land use driven change in soil pH affects microbial carbon cycling processes. Nat. Commun. 9, 3591 (2018).

    Article  Google Scholar 

  7. Smith, P. et al. Global change pressures on soils from land use and management. Glob. Change Biol. 22, 1008–1028 (2016).

    Article  Google Scholar 

  8. Circular of the State Council on Conducting the Third National Soil Census (Chinese State Council, 2022); https://www.gov.cn/gongbao/content/2022/content_5678068.htm

  9. Lie, Z. et al. Acidity of soil and water decreases in acid-sensitive forests of tropical China. Environ. Sci. Technol. 57, 11075–11083 (2023).

    Article  CAS  Google Scholar 

  10. Su, C. et al. Interannual and seasonal variabilities in soil NO fluxes from a rainfed maize field in the Northeast China. Environ. Pollut. 286, 117312 (2021).

    Article  CAS  Google Scholar 

  11. Xu, D. et al. Major drivers of soil acidification over 30 years differ in paddy and upland soils in China. Sci. Total Environ. 916, 170189 (2024).

    Article  CAS  Google Scholar 

  12. Yang, Y. et al. Significant soil acidification across northern China’s grasslands during 1980s–2000s. Glob. Change Biol. 18, 2292–2300 (2012).

    Article  Google Scholar 

  13. Posch, M. & Reinds, G. J. A very simple dynamic soil acidification model for scenario analyses and target load calculations. Environ. Model. Softw. 24, 329–340 (2009).

    Article  Google Scholar 

  14. Zeng, M. et al. Model-based analysis of the long-term effects of fertilization management on cropland soil acidification. Environ. Sci. Technol. 51, 3843–3851 (2017).

    Article  CAS  Google Scholar 

  15. Hengl, T. et al. SoilGrids250m: global gridded soil information based on machine learning. PLoS One 12, e0169748 (2017).

    Article  Google Scholar 

  16. Nachtergaele, F. et al. Harmonized World Soil Database Version 2.0 (FAO, accessed 1 November, 2024); https://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/harmonized-world-soil-database-v20/en/

  17. Song, X.-D. et al. Significant loss of soil inorganic carbon at the continental scale. Natl Sci. Rev. 9, nwab120 (2022).

    Article  CAS  Google Scholar 

  18. Li, H. et al. Decipher soil organic carbon dynamics and driving forces across China using machine learning. Glob. Change Biol. 28, 3394–3410 (2022).

    Article  CAS  Google Scholar 

  19. Page, A., Miller, R. & Keeney, D. Methods of Soil Analysis, Part II (American Society of Agronomy, 1982).

  20. Agricultural Industry Standard (NY/T 1377-2007) (Ministry of Agriculture and Rural Affairs of the People’s Republic of China, 2007).

  21. Han, Y., Yi, D., Ye, Y., Guo, X. & Liu, S. Response of spatiotemporal variability in soil pH and associated influencing factors to land use change in a red soil hilly region in southern China. Catena 212, 106074 (2022).

    Article  CAS  Google Scholar 

  22. Awadelkareem, W., Haroun, M., Wang, J. & Qian, X. Nitrogen interactions cause soil degradation in greenhouses: their relationship to soil preservation in China. Horticulturae 9, 340 (2023).

    Article  Google Scholar 

  23. Liu, L., Wen, Z., Liu, S., Zhang, X. & Liu, X. Decline in atmospheric nitrogen deposition in China between 2010 and 2020. Nat. Geosci. 17, 733–736 (2024).

    Article  CAS  Google Scholar 

  24. Tang, C. & Rengel, Z. in Handbook of Soil Acidity (ed. Rengel, Zdenko) 71–96 (CRC Press, 2003).

  25. He, H., Peng, M., Lu, W., Hou, Z. & Li, J. Commercial organic fertilizer substitution increases wheat yield by improving soil quality. Sci. Total Environ. 851, 158132 (2022).

    Article  CAS  Google Scholar 

  26. Tessema, N., Yadeta, D., Kebede, A. & Ayele, G. T. Soil and irrigation water salinity, and its consequences for agriculture in Ethiopia: a systematic review. Agriculture 13, 109 (2022).

    Article  Google Scholar 

  27. Hao, T. et al. Impacts of nitrogen fertilizer type and application rate on soil acidification rate under a wheat-maize double cropping system. J. Environ. Manag. 270, 110888 (2020).

    Article  CAS  Google Scholar 

  28. Koo, B. J., Adriano, D. C., Bolan, N. S. & Barton, C. D. in Encyclopedia of Soils in the Environment (ed. Hillel, D.) 421–428 (Elsevier, 2005).

  29. Fageria, N. & Baligar, V. Ameliorating soil acidity of tropical Oxisols by liming for sustainable crop production. Adv. Agron. 99, 345–399 (2008).

    Article  CAS  Google Scholar 

  30. Ding, C. et al. Changes in the pH of paddy soils after flooding and drainage: modeling and validation. Geoderma 337, 511–513 (2019).

    Article  CAS  Google Scholar 

  31. Kögel-Knabner, I. et al. Biogeochemistry of paddy soils. Geoderma 157, 1–14 (2010).

    Article  Google Scholar 

  32. Tao, Y. et al. The characteristics of soil salinization effects on nitrogen mineralization and nitrification in upland fields. Front. Environ. Sci. 12, 1369554 (2024).

    Article  Google Scholar 

  33. Li, S., Wang, Z., Hu, T., Gao, Y. & Stewart, B. Nitrogen in dryland soils of China and its management. Adv. Agron. 101, 123–181 (2009).

    Article  Google Scholar 

  34. Rengel, Z. in Soil Health and Climate Change (eds Bhupinder Pal Singh, B. P. et al.) 69–85 (Springer, 2011).

  35. Helyar, K. R. & Porter, W. Soil acidification, its measurement and the processes involved. in Soil Acidity and Plant Growth (ed. Brady, N. C.) 61–101 (Academic Press, 1989).

  36. Goulding, K. Soil acidification and the importance of liming agricultural soils with particular reference to the United Kingdom. Soil Use Manag. 32, 390–399 (2016).

    Article  CAS  Google Scholar 

  37. Zhang, Y. et al. Characterization of soil salinization and its driving factors in a typical irrigation area of Northwest China. Sci. Total Environ. 837, 155808 (2022).

    Article  CAS  Google Scholar 

  38. Wang, C. et al. Impact of 25 years of inorganic fertilization on diazotrophic abundance and community structure in an acidic soil in southern China. Soil Biol. Biochem. 113, 240–249 (2017).

    Article  Google Scholar 

  39. Wang, J., He, T. & Lin, Y. Changes in ecological, agricultural, and urban land space in 1984–2012 in China: land policies and regional social-economical drivers. Habitat Int. 71, 1–13 (2018).

    Article  Google Scholar 

  40. Zhou, F. & Wen, C. Research on the level of agricultural green development, regional disparities, and dynamic distribution evolution in China from the perspective of sustainable development. Agriculture 13, 1441 (2023).

    Article  Google Scholar 

  41. Shi, R.-y. et al. Mechanisms for increasing the pH buffering capacity of an acidic Ultisol by crop residue-derived biochars. J. Agric. Food Chem. 65, 8111–8119 (2017).

    Article  CAS  Google Scholar 

  42. Xin-zhu, L. et al. Characteristics of soil organic carbon components and their correlation with other soil physical and chemical factors in cotton fields with different continuous cropping years in the oasis on the northern edge of Tarim Basin. Environ. Sci. 43, 4639–4647 (2022).

    Google Scholar 

  43. Han, L. et al. Nitrogen addition affects ecosystem carbon exchange by regulating plant community assembly and altering soil properties in an alpine meadow on the Qinghai–Tibetan plateau. Front. Plant Sci. 13, 900722 (2022).

    Article  Google Scholar 

  44. Yang, F. et al. Evolution of loess-derived soil along a climatic toposequence in the Qilian Mountains, NE Tibetan Plateau. Eur. J. Soil Sci. 68, 270–280 (2017).

    Article  CAS  Google Scholar 

  45. Ma, Y.-J., Xie, T. & Li, X.-Y. Spatial variation of soil organic carbon in the Qinghai Lake watershed, northeast Qinghai–Tibet Plateau. Catena 213, 106187 (2022).

    Article  CAS  Google Scholar 

  46. Zhaofeng, W., Hartemink, A. E., Zhang, Y., Zhang, H. & Mingjun, D. Major elements in soils along a 2.8-km altitudinal gradient on the Tibetan Plateau. China Pedosphere 26, 895–903 (2016).

    Article  Google Scholar 

  47. Luo, W. et al. Contrasting pH buffering patterns in neutral-alkaline soils along a 3600 km transect in northern China. Biogeosciences 12, 7047–7056 (2015).

    Article  Google Scholar 

  48. Wang, Z. et al. Forms of nitrogen inputs regulate the intensity of soil acidification. Glob. Change Biol. 29, 4044–4055 (2023).

    Article  CAS  Google Scholar 

  49. Lal, R. Restoring soil quality to mitigate soil degradation. Sustainability 7, 5875–5895 (2015).

    Article  Google Scholar 

  50. Yan, P. et al. Soil acidification in Chinese tea plantations. Sci. Total Environ. 715, 136963 (2020).

    Article  CAS  Google Scholar 

  51. Ma, J. F., Ryan, P. R. & Delhaize, E. Aluminium tolerance in plants and the complexing role of organic acids. Trends Plant Sci. 6, 273–278 (2001).

    Article  CAS  Google Scholar 

  52. Huang, J. & Hartemink, A. E. Soil and environmental issues in sandy soils. Earth-Sci. Rev. 208, 103295 (2020).

    Article  CAS  Google Scholar 

  53. Anderson, D. The effect of parent material and soil development on nutrient cycling in temperate ecosystems. Biogeochemistry 5, 71–97 (1988).

    Article  Google Scholar 

  54. Liu, Y. et al. Regional variation in the temperature sensitivity of soil organic matter decomposition in China’s forests and grasslands. Glob. Change Biol. 23, 3393–3402 (2017).

    Article  Google Scholar 

  55. Tian, H. et al. HaNi: a Historical dataset of Anthropogenic Nitrogen Inputs to the terrestrial biosphere (1860–2019). PANGAEA https://doi.org/10.1594/PANGAEA.942069 (2022).

  56. Cui, Z. et al. Pursuing sustainable productivity with millions of smallholder farmers. Nature 555, 363–366 (2018).

    Article  CAS  Google Scholar 

  57. Zhalnina, K. et al. Dynamic root exudate chemistry and microbial substrate preferences drive patterns in rhizosphere microbial community assembly. Nature Microbiol. 3, 470–480 (2018).

    Article  CAS  Google Scholar 

  58. Cutler et al. Random forests for classification in ecology. Ecology 88, 2783–2792 (2007).

  59. Breiman, L. Random forests. Mach. Learn. 45, 5–32 (2001).

    Article  Google Scholar 

  60. Johnson, R. W. An introduction to the bootstrap. Teach. Stat. 23, 49–54 (2001).

    Article  Google Scholar 

  61. Ho, T. K. The random subspace method for constructing decision forests. IEEE Trans. Pattern Anal. Mach. Intell. 20, 832–844 (1998).

    Article  Google Scholar 

  62. Díaz-Uriarte, R. & Andrés, S. A. D. Gene selection and classification of microarray data using random forest. BMC Bioinform. 7, 3 (2006).

    Article  Google Scholar 

  63. Strobl, C., Boulesteix, A.-L., Zeileis, A. & Hothorn, T. Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinform. 8, 25 (2007).

    Article  Google Scholar 

  64. Svetnik, V. et al. Random forest: a classification and regression tool for compound classification and QSAR modeling. J. Chem. Inf. Comput. Sci. 43, 1947–1958 (2003).

    Article  CAS  Google Scholar 

  65. Hothorn, T. & Lausen, B. Double-bagging: combining classifiers by bootstrap aggregation. Pattern Recognit. 36, 1303–1309 (2003).

    Article  Google Scholar 

  66. James, G., Witten, D., Hastie, T. & Tibshirani, R. An Introduction to Statistical Learning Vol. 112 (Springer, 2013).

  67. IPCC Climate Change 2021: The Physical Science Basis. (eds V. Masson-Delmotte, V. et al.) (Cambridge Univ. Press, 2021).

  68. Zhang, W. et al. The data and code of “Stabilisation of Acidification in China’s Cropland Soils”. figshare https://doi.org/10.6084/m9.figshare.29108045.v2 (2025).

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Acknowledgements

We thank the many providers of data, which were an essential component of this work, and undergraduate students from NingboTech University and Yangtze University for collecting the data. We acknowledge the National Tibetan Plateau Data Center (TPDC) and the National Earth System Science Data Center (https://www.geodata.cn) for data support. This work is supported by the National Key Research and Development Program of China (nos. 2020YFC1807002 and 2021YFC1809103 to Y.Y., 2022YFD1700104 to Y. Luo and 2022YFD1900604 to J.L.) and the National Natural Science Foundation of China (nos. 42077140 to Y.Y., 41991335 to Y. Luo and 42177300 to J.L.).

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Y.Y. conceived the idea. Y.Y. and Y. Luo designed the study. W.Z, Y. Li and Y.H collected the data. W.Z., C.W., J.L., J.M. and Y.Z. analysed the data. Y.Y., W.Z. and Q.Z. performed the modelling. Y.Y., W.Z., C.W., J.L. and Q.Z. wrote the first complete draft of the paper. Y.Y., W.Z. and Q.Z. revised the paper, with inputs from all co-authors. All authors contributed to the interpretation of results, writing and revision of the paper.

Corresponding authors

Correspondence to Yongming Luo or Yijun Yao.

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Nature Geoscience thanks the anonymous reviewer(s) for their contribution to the peer review of this work. Primary Handling Editors: Alison Hunt and Xujia Jiang, in collaboration with the Nature Geoscience team.

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Zhang, W., Wei, C., Li, J. et al. Stabilization of acidification in China’s cropland soils. Nat. Geosci. (2025). https://doi.org/10.1038/s41561-025-01813-1

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