Effects of mixed plantations on soil microbial diversity and ecosystem multifunctionality across China: a meta-analysis

Mixed plantations have emerged as a key afforestation strategy for enhancing the stability and sustainability of forest ecosystems. However, their effects on soil microbial diversity and ecosystem multifunctionality (EMF) remain inconsistent. Here, we compiled a dataset from 121 peer-reviewed publications and conducted a meta-analysis to evaluate the effects of different mixed plantation strategies on soil microbial diversity and EMF. The results showed that mixed plantations significantly increased bacterial and fungal Shannon indices by 1.43 and 7.4%, respectively, compared to monocultures. In addition, mixed plantations enhanced key ecosystem functions, including increased soil organic carbon, nutrient availability, and moisture retention, while reducing soil bulk density. Collectively, these improvements resulted in a 19.25% increase in the EMF index. Further analysis revealed significant positive correlations between both bacterial and fungal diversity and EMF, as well as significant associations between EMF and key soil physical properties. Moreover, the effects of mixed plantations on microbial diversity and ecosystem functions varied depending on the mixing strategy. Overall, our findings highlight the ecological benefits of mixed plantations for soil microbial diversity and EMF, supporting more effective and sustainable afforestation practices.

Authors

Institutions

Publication Details

Journal
Frontiers in Forests and Global Change
Published
2025-11-19
DOI
https://doi.org/10.3389/ffgc.2025.1694630
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of mixed plantations on soil microbial diversity and ecosystem multifunctionality across China: a meta-analysis

Xu Yue, Xinghui Lu, Ke Xie
Frontiers in Forests and Global Change
Soil Carbon and Nitrogen Dynamics
article

Effects of mixed plantations on soil microbial diversity and ecosystem multifunctionality across China: a meta-analysis

Xu Yue, Xinghui Lu, Ke Xie
article en

Abstract

Mixed plantations have emerged as a key afforestation strategy for enhancing the stability and sustainability of forest ecosystems. However, their effects on soil microbial diversity and ecosystem multifunctionality (EMF) remain inconsistent. Here, we compiled a dataset from 121 peer-reviewed publications and conducted a meta-analysis to evaluate the effects of different mixed plantation strategies on soil microbial diversity and EMF. The results showed that mixed plantations significantly increased bacterial and fungal Shannon indices by 1.43 and 7.4%, respectively, compared to monocultures. In addition, mixed plantations enhanced key ecosystem functions, including increased soil organic carbon, nutrient availability, and moisture retention, while reducing soil bulk density. Collectively, these improvements resulted in a 19.25% increase in the EMF index. Further analysis revealed significant positive correlations between both bacterial and fungal diversity and EMF, as well as significant associations between EMF and key soil physical properties. Moreover, the effects of mixed plantations on microbial diversity and ecosystem functions varied depending on the mixing strategy. Overall, our findings highlight the ecological benefits of mixed plantations for soil microbial diversity and EMF, supporting more effective and sustainable afforestation practices.

Frontiers in Forests and Global ChangeVol. 8
Liaocheng University (CN), Chinese Academy of Forestry (CN), Institute of Forest Ecology, Environment and Protection (CN)
Openalex Percentile: Top 56%
Soil Carbon and Nitrogen Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.