JOURNAL ARTICLE

Revegetation promotes soil microbial network stability in a novel riparian ecosystem.

  • Published In: Journal of Applied Ecology, 2023, v. 60, n. 8. P. 1572 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Ye, Chen; Gong, Yu; Chen, Meiping; Delgado‐Baquerizo, Manuel; Che, Rongxiao; Liu, Shengen; Zhang, Quanfa 3 of 3

Abstract

Soil microorganisms play a crucial role in ecosystem processes and functions, but how their co‐occurrence networks respond to restoration of degraded ecosystems remains poorly understood.Here, we examined the effects of revegetation on the structure and function of the soil microbiome, including soil microbial network complexity and stability, in a novel riparian ecosystem with winter submergence opposite to the natural hydrological regime.We found that extreme flooding intensity (30 m submergence up to 286 days per year) reduced microbial α‐diversity and network stability (robustness) but increased network complexity including network connectivity, connectance and average clustering coefficient over a 3‐year period, and those effects were mitigated by active revegetation in comparison with natural regeneration. Revegetation increased microbial network stability directly by decreasing network complexity, while extreme flooding regulated network stability indirectly by changing the soil total carbon content. Nevertheless, those dynamics of microbial network were coupling with soil microbial functions such as greenhouse gas (e.g. CH4, CO2 and N2O) fluxes and nutrient cycling.Synthesis and applications: This study provides evidence to support the critical role of revegetation in preserving soil microbial network stability and functions under changing hydrological regime. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Applied Ecology. 2023/08, Vol. 60, Issue 8, p1572
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2023
  • ISSN:0021-8901
  • DOI:10.1111/1365-2664.14449
  • Accession Number:169725938
  • Copyright Statement:Copyright of Journal of Applied Ecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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