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Land use intensity constrains the positive relationship between soil microbial diversity and multifunctionality

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Abstract

Aims

The positive soil biodiversity and multifunctionality relationship has been widely recognized, however in agricultural ecosystems, this relationship is context dependent and could be altered by land use intensity (LUI). Understanding how LUI affects soil microbial community and multifunctionality (SMF) is instructive for optimizing external inputs and managements.

Methods

We sampled soils from three cropping systems (cotton, wheat-maize and vegetable) with different LUI, sequenced both bacterial and fungal communities, and quantified the multifunctionality by averaging carbon, nitrogen and phosphorus cycling functions. The relationship between soil microbial diversity and SMF was further explored.

Results

The results showed that the positive effects of soil microbial diversity on SMF was significantly affected by LUI. In general, LUI decreased SMF and both bacterial and fungal diversity. Cotton and wheat-maize rotation systems with relatively lower LUI showed higher microbial diversity and SMF compared with the vegetable system, which had the highest LUI and the lowest SMF. Moreover, bacterial but not fungal diversity drove this positive relationship between microbial diversity and SMF in both cotton and wheat-maize systems but not in the vegetable system, indicating a larger bacterial effect in lower LUI system. Random forest and structural equation modeling further confirmed bacterial diversity and composition contributed to SMF mainly via promoting carbon and phosphorus cycling.

Conclusions

Our findings highlight the importance of LUI in influencing the relationships of biodiversity-SMF and further demonstrate that soil microbial diversity conservation with less anthropogenic disturbances is important for supporting soil functioning in agroecosystems.

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Abbreviations

SMF:

Soil multifunctionality

LUI:

Land use intensity

C:

Carbon

N:

Nitrogen

P:

Phosphorus

ANOVA:

Analysis of variance

PERMANOVA:

Permutational multivariate ANOVA

PCoA:

Principal co-ordinates analysis

ASVs:

Amplicon Sequence Variants

References

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Acknowledgements

This study was supported by National Key R&D Program of China (2022YFD1901300); National Natural Science Foundation of China (No. 32201330); and China Scholarship Council (No.201913043). We acknowledge Prof. Rachel Creamer and Dr. Ron de Goede (Wageningen University & Research) for his insightful and constructive comments.

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Authors and Affiliations

Authors

Contributions

JY Jia, JZ Zhang, GZ Wang and JL Zhang designed this study; JY Jia and JZ Zhang sampled soil from field, and JY Jia performed laboratory work; JY Jia, YZ Li, Mx Xie, GZ Wang and JL Zhang analyzed and interpreted the data; JY Jia, GZ Wang and JL Zhang wrote the manuscript.

Corresponding author

Correspondence to Guangzhou Wang.

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Competing interests

The authors declare that they have no conflicts of interest.

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Responsible Editor: Paul Bodelier.

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Jia, J., Zhang, J., Li, Y. et al. Land use intensity constrains the positive relationship between soil microbial diversity and multifunctionality. Plant Soil (2022). https://doi.org/10.1007/s11104-022-05853-z

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  • DOI: https://doi.org/10.1007/s11104-022-05853-z

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