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A multi-temporal window framework reveals the temporal-scale-dependent stability of soil microbiomes under warming


Abstract

The stability of soil microbiomes is critical for ecosystem functioning under climate change, yet its assessment is confounded by the overlooked problem of observational temporal scale dependency. Here, we introduce a multi-temporal window framework to resolve this problem. Applied to a decade-long warming experiment, our approach reveals that the perceived stability of bacterial and fungal communities nonlinearly decays with observational temporal scale, and short windows systematically overestimate it. Crucially, we document a temporal scale-driven mechanistic shift. Community stability shifts from species resistance to compensatory asynchrony once the window exceeds a threshold. This transition occurs over a broader temporal scale range for fungi than for bacteria. Our work establishes that microbiome stability is an intrinsically temporal scale-dependent property and provides a scalable, bioinformatic-friendly framework that challenges conventional single-temporal-scale assessments. This paradigm is critical for accurately predicting the fate of soil carbon and other microbiome-governed functions in a warming world.

Data availability

Data are available from Figshare: https://doi.org/10.6084/m9.figshare.31651414

References

  1. Jansson, J. K. & Hofmockel, K. S. Soil microbiomes and climate change. Nat. Rev. Microbiol. 18, 35–46 (2020).

    Google Scholar 

  2. Wang, Y. S. et al. Soil pH is a major driver of soil diazotrophic community assembly in Qinghai-Tibet alpine meadows. Soil Biol. Biochem. 115, 547–555 (2017).

    Google Scholar 

  3. Deltedesco, E. et al. Soil microbial community structure and function mainly respond to indirect effects in a multifactorial climate manipulation experiment. Soil Biol. Biochem. 142, https://doi.org/10.1016/j.soilbio.2020.107704 (2020).

  4. Yu, C. Q., Han, F. S. & Fu, G. Effects of 7 years experimental warming on soil bacterial and fungal community structure in the Northern Tibet alpine meadow at three elevations. Sci. Total Environ. 655, 814–822 (2019).

    Google Scholar 

  5. Che, R. X. et al. Long-term warming rather than grazing significantly changed total and active soil procaryotic community structures. Geoderma 316, 1–10 (2018).

    Google Scholar 

  6. Li, Y. M. et al. Soil bacterial community responses to warming and grazing in a Tibetan alpine meadow. FEMS Microbiol. Ecol. 92, https://doi.org/10.1093/femsec/fiv152 (2016).

  7. Chen, Y. et al. Warming has a minor effect on surface soil organic carbon in alpine meadow ecosystems on the Qinghai-Tibetan Plateau. Glob. Change Biol. 28, 1618–1629 (2022).

    Google Scholar 

  8. Zhou, J. Z. et al. Microbial mediation of carbon-cycle feedbacks to climate warming. Nat. Clim. Chang. 2, 106–110 (2012).

    Google Scholar 

  9. Xu, J. J. et al. Opposite effects of N on warming-induced changes in bacterial and fungal diversity. Env. Microbiome 20, https://doi.org/10.1186/s40793-025-00693-7 (2025).

  10. Qi, Q. et al. Microbially enhanced methane uptake under warming enlarges ecosystem carbon sink in a Tibetan alpine grassland. Glob. Change Biol. 28, 6906–6920 (2022).

    Google Scholar 

  11. Tilman, D., Reich, P. B. & Knops, J. M. H. Biodiversity and ecosystem stability in a decade-long grassland experiment. Nature 441, 629–632 (2006).

    Google Scholar 

  12. Luo, M. Y., et al. Short time series obscure compensatory dynamics in ecological communities. Nat. Ecol. Evol. 9, https://doi.org/10.1038/s41559-025-02757-w (2025).

  13. Qiu, J. X. & Cardinale, B. J. Scaling up biodiversity-ecosystem function relationships across space and over time. Ecology 101, https://doi.org/10.1002/ecy.3166 (2020).

  14. Loreau, M. & Hector, A. Partitioning selection and complementarity in biodiversity experiments. Nature 412, 72–76 (2001).

    Google Scholar 

  15. Cardinale, B. J. et al. Biodiversity loss and its impact on humanity. Nature 486, 59–67 (2012).

    Google Scholar 

  16. Whalen, E. D. et al. Microbial trait multifunctionality drives soil organic matter formation potential. Nat. Commun. 15, https://doi.org/10.1038/s41467-024-53947-2 (2024).

  17. Wu, S. et al. Soil organic matter dynamics mediated by arbuscular mycorrhizal fungi – an updated conceptual framework. N. Phytol. 242, 1417–1425 (2024).

    Google Scholar 

  18. Smith, T. P. et al. Systematic variation in the temperature dependence of bacterial carbon use efficiency. Ecol. Lett. 24, 2123–2133 (2021).

    Google Scholar 

  19. Tang, B. et al. Arbuscular mycorrhizal fungi attenuate negative impact of drought on soil functions. Global Change Biol. 30, https://doi.org/10.1111/gcb.17409 (2024).

  20. Li, X. et al. Response of bacterial and micro-eukaryotic communities to spatio-temporal fluctuations of wastewater in full scale constructed wetlands. Bioresour. Technol. 399, https://doi.org/10.1016/j.biortech.2024.130626 (2024).

  21. de Vries, F. T. et al. Soil bacterial networks are less stable under drought than fungal networks. Nat. Commun. 9, https://doi.org/10.1038/s41467-018-05516-7 (2018).

  22. Meng, Y. N. et al. Scale-dependent changes in ecosystem temporal stability over six decades of succession. Sci. Adv. 9, https://doi.org/10.1126/sciadv.adi1279 (2023).

  23. Fu, G. & He, Y. T. Responses of soil fungal and bacterial communities to long-term organic and inorganic nitrogenous fertilizers in an alpine agriculture. Appl. Soil Ecol. https://doi.org/10.1016/j.apsoil.2024.105498 (2024).

  24. Nguyen, N. H. et al. FUNGuild: An open annotation tool for parsing fungal community datasets by ecological guild. Fungal Ecol. 20, 241–248 (2016).

    Google Scholar 

  25. Fierer, N. & Jackson, R. B. The diversity and biogeography of soil bacterial communities. Proc. Natl. Acad. Sci. USA 103, 626–631 (2006).

    Google Scholar 

  26. Tedersoo, L. et al. Global diversity and geography of soil fungi. Science 346, 1078 (2014).

    Google Scholar 

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Acknowledgements

This study was funded by Xizang Autonomous Region Science and Technology Project [XZ202401JD0029, XZ202501ZY0086, XZ202501ZY0056], China National Natural Science Foundation [31600432], Lhasa Science and Technology Plan Project [LSKJ202422], Chinese Academy of Sciences Youth Innovation Promotion Association [2020054 l and Construction of Zhongba County Fixed Observation and Experiment Station of First Support System for Agriculture Green Development. We sincerely thank the editors and reviewers for their extremely constructive and valuable comments, which are very helpful in improving the quality of this study.

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G.F. designed the research and performed the experiments; G.F. and W.S. analyzed the data, drafted the paper, and revised it.

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Correspondence to
Gang Fu or Wei Sun.

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The authors declare no competing interests.

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Communications Earth & Environment thanks Samuel Bickel and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Primary Handling Editors: Somaparna Ghosh. A peer review file is available

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Fu, G., Sun, W. A multi-temporal window framework reveals the temporal-scale-dependent stability of soil microbiomes under warming.
Commun Earth Environ (2026). https://doi.org/10.1038/s43247-026-03471-6

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