# Microbial community succession mediated by planting patterns in the Loess Plateau, China: Implications for ecological restoration

**Authors:** Weiqian Li, Jinjun Cai, Gang Chen, Yitong Liu, Xia Wu, Yangyang Bai, Yan Wu, Tianning Wang, Massimiliano Cardinale, Massimiliano Cardinale, Massimiliano Cardinale, Massimiliano Cardinale

PMC · DOI: 10.1371/journal.pone.0324786 · PLOS One · 2025-05-27

## TL;DR

This study explores how different planting patterns affect soil microbes in China's Loess Plateau, showing that mixed forests improve ecological restoration.

## Contribution

The study reveals how planting patterns influence microbial communities and soil nutrients, offering insights for ecological restoration.

## Key findings

- Mixed forest soils showed the highest soil C and N nutrient abundance.
- Mixed forests had the highest and most diverse microbial abundance.
- Mixed forests with trees and shrubs provided optimal ecological functions.

## Abstract

Microbial community succession plays a key role in restoring fragile ecosystems and mitigating ecological degradation. However, the mechanisms by which vegetation restoration promotes ecological restoration and microbial community reconstruction in degraded soils remain unclear. This study utilized metagenomic high-throughput sequencing technology to analyze microbial community dynamics in soil samples collected from eight different planting patterns in the ecologically degraded areas of the Chinese Loess Plateau. The results indicated significant effects of terrain location and restorative cropping patterns on soil microbial abundance and function. In particular, soil C and N nutrient abundance was highest in mixed forest soils, and the total number of microorganisms was highest and more diverse. Therefore, through vegetation restoration, mixed forests significantly enhanced regional ecological functions. Notably, creating mixed forests with both trees and shrubs resulted in optimal ecological functions, providing a valuable direction for vegetation construction and structural optimization in the region.

## Full-text entities

- **Chemicals:** N (MESH:D009584), C (MESH:D002244)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12112373/full.md

## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12112373/full.md

## References

48 references — full list in the complete paper: https://tomesphere.com/paper/PMC12112373/full.md

---
Source: https://tomesphere.com/paper/PMC12112373