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Influence of land-use types on soil microbial communities and nutrient changes in Xinyang City, China
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  • Published: 06 February 2026

Influence of land-use types on soil microbial communities and nutrient changes in Xinyang City, China

  • Gaoyan Huang1 na1,
  • Yue Rong1 na1,
  • Chunxiao Song1,
  • Shuang Huang2,
  • Xiao Huang1,
  • Zhuizhui Guan3 &
  • …
  • Tianxiao Ma3 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Ecology
  • Environmental sciences
  • Microbiology

Abstract

Soil microorganisms are essential for sustaining ecosystem functions, driving biogeochemical cycles, and modulating carbon storage. However, the nutrient-mediated mechanisms by which different land-use types shape soil microbial communities remain unclear. This study investigated three typical land-use types—plantation, grassland, and high-standard cropland—in Xinyang City, China, to evaluate their effects on soil microbial community. Results showed that soil nutrient contents—including total nitrogen, total phosphorus, alkaline-hydrolyzable nitrogen, and available phosphorus—as well as microbial alpha diversity indices, were consistently higher in topsoil than in subsoil and more pronounced in plantation than in grassland and cropland. Acidobacteriota, Pseudomonadota, Ascomycota, and Basidiomycota dominated across all land uses, though community composition varied significantly among them. Network analysis revealed strongest microbial connectivity in plantation, intermediate in grassland, and weakest in cropland. Our findings demonstrate that land-use type and soil depth directly affect soil available nutrients, thereby influencing microbial diversity. This study clarifies the nutrient-driven pathways through which land use affects soil ecosystems, providing important insights for sustainable land management and ecological conservation.

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Data availability

The raw sequence data reported in this paper have been deposited in the Genome Sequence Archive (Genomics, Proteomics & Bioinformatics 2025) in National Genomics Data Center (Nucleic Acids Res 2025), China National Center for Bioinformation / Beijing Institute of Genomics, Chinese Academy of Sciences (GSA: CRA033082; CRA033083) that are publicly accessible at https://ngdc.cncb.ac.cn/gsa.

References

  1. Wagg, C., Schlaeppi, K., Banerjee, S., Kuramae, E. E. & van der Heijden, M. Fungal-bacterial diversity and microbiome complexity predict ecosystem functioning. Nat. Commun. 10, 4841. https://doi.org/10.1038/s41467-019-12798-y (2019).

    Google Scholar 

  2. Delgado-Baquerizo, M. et al. Multiple elements of soil biodiversity drive ecosystem functions across biomes. Nat. Ecol. Evol. 4, 210–220. https://doi.org/10.1038/s41559-019-1084-y (2020).

    Google Scholar 

  3. Chen, Y. et al. Conversion of natural grassland to cropland alters microbial community assembly across northern China. Environ. Microbiol. 24, 5630–5642. https://doi.org/10.1111/1462-2920.16127 (2022).

    Google Scholar 

  4. Han, Z. et al. Microbial diversity and the abundance of keystone species drive the response of soil multifunctionality to organic substitution and biochar amendment in a tea plantation. GCB Bioenergy. 14, 481–495. https://doi.org/10.1111/gcbb.12926 (2022).

    Google Scholar 

  5. Delgado-Baquerizo, M. et al. Soil microbial communities drive the resistance of ecosystem multifunctionality to global change in drylands across the globe. Ecol. Lett. 20, 1295–1305. https://doi.org/10.1111/ele.12826 (2017).

    Google Scholar 

  6. Delgado-Baquerizo, M. et al. Microbial diversity drives multifunctionality in terrestrial ecosystems. Nat. Commun. 7, 10541. https://doi.org/10.1038/ncomms10541 (2016).

    Google Scholar 

  7. Li, J. et al. Plant productivity and microbial composition drive soil carbon and nitrogen sequestrations following cropland abandonment. Sci. Total Environ. 744, 140802. https://doi.org/10.1016/j.scitotenv.2020.140802 (2020).

    Google Scholar 

  8. Kong, Y. L. et al. Research progress on the mechanism by which soil microorganisms affect soil health. Acta Pedol. Sin. 61, 331–347 (2024).

    Google Scholar 

  9. Zhu, R. et al. Response of carbohydrate-degrading enzymes and microorganisms to land use change in the southeastern Qinghai-Tibetan Plateau,China. Appl. Soil. Ecol. 200, 105442. https://doi.org/10.1016/j.apsoil.2024.105442 (2024).

    Google Scholar 

  10. Chen, Y., Ma, S., Jiang, H., Hu, Y. & Lu, X. Influences of litter diversity and soil moisture on soil microbial communities in decomposing mixed litter of alpine steppe species. Geoderma 377, 114577. https://doi.org/10.1016/j.geoderma.2020.114577 (2020).

    Google Scholar 

  11. Goss-Souza, D. et al. Soil microbial community dynamics and assembly under long-term land use change. Fems Microbiol. Ecol. 93, fix109. https://doi.org/10.1093/femsec/fix109 (2017).

    Google Scholar 

  12. Huang, J. et al. Changes of soil bacterial community, network structure, and carbon, nitrogen and sulfur functional genes under different land use types. Catena 231, 107385. https://doi.org/10.1016/j.catena.2023.107385 (2023).

    Google Scholar 

  13. de Vries, F. T. et al. Soil food web properties explain ecosystem services across European land use systems. P Natl. Acad. Sci. Usa. 110, 14296–14301. https://doi.org/10.1073/pnas.1305198110 (2013).

    Google Scholar 

  14. Gomez, E., Garland, J. & Conti, M. Reproducibility in the response of soil bacterial community-level physiological profiles from a land use intensification gradient. Appl. Soil. Ecol. 26, 21–30. https://doi.org/10.1016/j.apsoil.2003.10.007 (2004).

    Google Scholar 

  15. Wang, Q. et al. Conversion of wetlands to farmland and forests reduces soil microbial functional diversity and carbon use intensity. Appl. Ecol. Env Res. 20, 4553–4564. https://doi.org/10.15666/aeer/2005_45534564 (2022).

    Google Scholar 

  16. Guan, Z. et al. Soil microbial communities response to different fertilization regimes in young Catalpa bungei plantation. Front. Microbiol. 13, 948875. https://doi.org/10.3389/fmicb.2022.948875 (2022).

    Google Scholar 

  17. Qiao, L., Guan, Z., Ren, F. & Ma, T. Comparative analysis of rhizosphere microbial communities in monoculture and mixed oak-pine forests: Structural and functional insights. Front. Microbiol. 16, 1646535. https://doi.org/10.3389/fmicb.2025.1646535 (2025).

    Google Scholar 

  18. Lu, R. Agricultural and Chemistry Analysis of Soil (China Agricultural Science and Technology, 2002).

  19. Callahan, B. J. et al. Dada2: High-resolution sample inference from illumina amplicon data. Nat. Methods. 13, 581–583. https://doi.org/10.1038/nmeth.3869 (2016).

    Google Scholar 

  20. Bokulich, N. A. et al. Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin. Microbiome 6, 90. https://doi.org/10.1186/s40168-018-0470-z (2018).

    Google Scholar 

  21. Vazquez-Baeza, Y., Pirrung, M., Gonzalez, A. & Knight, R. EMPeror: A tool for visualizing high-throughput microbial community data. Gigascience 2, 16. https://doi.org/10.1186/2047-217X-2-16 (2013).

    Google Scholar 

  22. Zhi, J. et al. Impact of land use patterns on the structure and function of soil bacterial communities. Bull. Bot. Res. 45, 22–33 (2025).

    Google Scholar 

  23. Seabloom, E. W., Borer, E. T. & Tilman, D. Grassland ecosystem recovery after soil disturbance depends on nutrient supply rate. Ecol. Lett. 23, 1756–1765. https://doi.org/10.1111/ele.13591 (2020).

    Google Scholar 

  24. Schilling, E. M., Waring, B. G., Schilling, J. S. & Powers, J. S. Forest composition modifies litter dynamics and decomposition in regenerating tropical dry forest. Oecologia 182, 287–297. https://doi.org/10.1007/s00442-016-3662-x (2016).

    Google Scholar 

  25. Gao, H., Gong, J., Ye, T., Maier, M. & Liu, J. Constructing cropland ecological stability assessment method based on disturbance-resistance-response processes and classifying cropland ecological types. Sci. Total Environ. 930, 172673. https://doi.org/10.1016/j.scitotenv.2024.172673 (2024).

    Google Scholar 

  26. Zhang, M. et al. Land use intensification alters the relative contributions of plant functional diversity and soil properties on grassland productivity. Oecologia 201, 119–127. https://doi.org/10.1007/s00442-022-05288-4 (2023).

    Google Scholar 

  27. Qin, Y. et al. Changes of total phenols and condensed tannins during the decomposition of mixed leaf litter of Pinus massoniana and broad-leaved trees. Chin. J. Appl. Ecol. 29, 2224–2232. https://doi.org/10.13287/j.1001-9332.201807.038 (2018).

    Google Scholar 

  28. Russo, T. A., Tully, K., Palm, C. & Neill, C. Leaching losses from Kenyan maize cropland receiving different rates of nitrogen fertilizer. Nutr. Cycl. Agroecosys. 108, 195–209. https://doi.org/10.1007/s10705-017-9852-z (2017).

    Google Scholar 

  29. Gao, G. et al. Effects of land-use patterns on soil carbon and nitrogen variations along revegetated hillslopes in the Chinese Loess Plateau. Sci. Total Environ. 746, 141156. https://doi.org/10.1016/j.scitotenv.2020.141156 (2020).

    Google Scholar 

  30. Niu, Y. et al. Variations in seasonal and inter-annual carbon fluxes in a semi-arid sandy maize cropland ecosystem in China’s Horqin Sandy Land. Environ. Sci. Pollut R. 29, 5295–5312. https://doi.org/10.1007/s11356-021-15751-z (2022).

    Google Scholar 

  31. Shukla, A. K., Behera, S. K., Lakaria, B. L. & Tripathi, A. Effect of land use and soil depth on the distribution of phyto-available nutrients and SOC pools of vertisols in central India. Environ. Monit. Assess. 195, 1405. https://doi.org/10.1007/s10661-023-12032-9 (2023).

    Google Scholar 

  32. Gabriel, C. E., Kellman, L. & Prest, D. Examining mineral-associated soil organic matter pools through depth in harvested forest soil profiles. Plos One. 13, e206847. https://doi.org/10.1371/journal.pone.0206847 (2018).

    Google Scholar 

  33. Yan, K. et al. Depth-dependent patterns of soil microbial community in the E-waste dismantling area. J. Hazard. Mater. 444, 130379. https://doi.org/10.1016/j.jhazmat.2022.130379 (2023).

    Google Scholar 

  34. Xiao, E., Wang, Y., Xiao, T., Sun, W. & Ning, Z. Microbial community responses to land-use types and its ecological roles in mining area. Sci. Total Environ. 775, 145753. https://doi.org/10.1016/j.scitotenv.2021.145753 (2021).

    Google Scholar 

  35. He, D. et al. Microbial life-history strategies and genomic traits between pristine and cropland soils. Msystems 10, e17825. https://doi.org/10.1128/msystems.00178-25 (2025).

    Google Scholar 

  36. Llado, S., Lopez-Mondejar, R. & Baldrian, P. Drivers of microbial community structure in forest soils. Appl. Microbiol. Biot. 102, 4331–4338. https://doi.org/10.1007/s00253-018-8950-4 (2018).

    Google Scholar 

  37. Zhao, M. et al. Root exudates drive soil-microbe-nutrient feedbacks in response to plant growth. Plant. Cell. Environ. 44, 613–628. https://doi.org/10.1111/pce.13928 (2021).

    Google Scholar 

  38. Liu, L. et al. Medicinal fungi and soil: interactions, plant interactions, and ecological restoration for sustainable use: A review. Int. J. Med. Mushrooms. 27, 61–74. https://doi.org/10.1615/IntJMedMushrooms.2025059592 (2025).

    Google Scholar 

  39. Yang, Y. et al. Responses of soil microbial diversity, network complexity and multifunctionality to three land-use changes. Sci. Total Environ. 859, 160255. https://doi.org/10.1016/j.scitotenv.2022.160255 (2023).

    Google Scholar 

  40. Guo, J. et al. Linkages between plant community composition and soil microbial diversity in Masson Pine forests. Plants-Basel 12, 1750. https://doi.org/10.3390/plants12091750 (2023).

  41. Hannula, S. E. et al. Time after time: Temporal variation in the effects of grass and forb species on soil bacterial and fungal communities. Mbio 10, e02635–e02619. https://doi.org/10.1128/mBio.02635-19 (2019).

    Google Scholar 

  42. Li, B. et al. Stoichiometric imbalances between soil microorganisms and their resources regulate litter decomposition. Funct. Ecol. 37, 3136–3149. https://doi.org/10.1111/1365-2435.14459 (2023).

    Google Scholar 

  43. Karimi, B. et al. Microbial diversity and ecological networks as indicators of environmental quality. Environ. Chem. Lett. 15, 265–281. https://doi.org/10.1007/s10311-017-0614-6 (2017).

    Google Scholar 

  44. Banerjee, S. et al. Agricultural intensification reduces microbial network complexity and the abundance of keystone taxa in roots. Isme J. 13, 1722–1736. https://doi.org/10.1038/s41396-019-0383-2 (2019).

    Google Scholar 

  45. Zhang, J. et al. Soil microbial richness predicts ecosystem multifunctionality through co-occurrence network complexity in alpine meadow. Acta Ecol. Sin. 42, 2542–2558 (2022).

    Google Scholar 

  46. Barberan, A., Bates, S. T., Casamayor, E. O. & Fierer, N. Using network analysis to explore co-occurrence patterns in soil microbial communities. Isme J. 6, 343–351. https://doi.org/10.1038/ismej.2011.119 (2012).

    Google Scholar 

  47. Zheng, J., Shi, J. & Wang, D. Diversity of soil fungi and entomopathogenic fungi in subtropical mountain forest in Southwest China. Env Microbiol. Rep. 16, e13267. https://doi.org/10.1111/1758-2229.13267 (2024).

    Google Scholar 

  48. Xin, Y., Wu, Y., Zhang, H., Li, X. & Qu, X. Soil depth exerts a stronger impact on microbial communities and the sulfur biological cycle than salinity in salinized soils. Sci. Total Environ. 894, 164898. https://doi.org/10.1016/j.scitotenv.2023.164898 (2023).

    Google Scholar 

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Acknowledgements

We thank this work was supported by the National Key Wildlife Conservation Project (GTH [2024]153). We would like to express our special gratitude to Professors Chunxiao Song and Tianxiao Ma for their review and revision of the manuscript.

Funding

This study was supported by the National Key Wildlife Conservation Project (GTH [2024]153).

Author information

Author notes
  1. Gaoyan Huang and Yue Rong contributed equally to this work.

Authors and Affiliations

  1. College of Economics and Management, Henan Agricultural University, Zhengzhou, 450046, China

    Gaoyan Huang, Yue Rong, Chunxiao Song & Xiao Huang

  2. College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou, 450046, China

    Shuang Huang

  3. College of Forestry, Xinyang Agriculture and Forestry University, Xinyang, 464000, China

    Zhuizhui Guan & Tianxiao Ma

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Contributions

GH, YR and XH conceived the idea; GH, RY, XH and SH performed the experiments, data analysis, prepared the figures and wrote the manuscript; ZG, CS and TM edited the manuscript, and all authors gave approval for the manuscript.

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Correspondence to Chunxiao Song or Tianxiao Ma.

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Huang, G., Rong, Y., Song, C. et al. Influence of land-use types on soil microbial communities and nutrient changes in Xinyang City, China. Sci Rep (2026). https://doi.org/10.1038/s41598-026-38635-z

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  • Received: 21 December 2025

  • Accepted: 30 January 2026

  • Published: 06 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-38635-z

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Keywords

  • Land-use type
  • High-standard cropland
  • Soil depth
  • Soil bacteria and fungi
  • Microbial structure and diversity
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