Contrasting Soil Microbial Composition, Diversity, and Network Stability Under Different Land Use Intensities

Soil microbial communities are fundamental to ecosystem function and soil health, yet how differing land-use intensities shape these communities and their interaction networks remains unclear. We investigated soils from greenhouse cultivation (GH), arched shed systems (ASs), and open farmlands (FLs) to compare microbial composition, diversity, and network stability under contrasting management intensities. GH soils had the highest electrical conductivity, ca. ~3.9 times higher than FL soil and ~1.9 times higher than AS soil, alongside elevated soil organic matter, total N, and available nutrients. AS soil maintained intermediate nutrient levels. Bacterial α-diversity was higher in AS and GH soils than in FL soil, whereas fungal α-diversity was comparable among systems despite differences in community composition. Microbial co-occurrence network analysis revealed the most complex and robust network in ASs, followed by FLs, while GH soil had the simplest and least stable network. Structural equation modeling showed that soil chemical properties had the largest direct influence on network complexity and stability, followed by soil enzyme activities; microbial diversity and key taxa also contributed to network complexity and stability. Overall, the moderately managed AS was superior to GH and FLs in sustaining a diverse and resilient soil microbiome and network. These findings provided actionable knowledge for optimizing land management to maintain soil ecological function.

Authors

Institutions

Publication Details

Journal
Agronomy
Published
2025-12-20
DOI
https://doi.org/10.3390/agronomy16010013
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Contrasting Soil Microbial Composition, Diversity, and Network Stability Under Different Land Use Intensities

L. Wang, Z. Liu, Yulin Zhao, Lei Ma et al.
Agronomy
Soil Carbon and Nitrogen Dynamics
article

Contrasting Soil Microbial Composition, Diversity, and Network Stability Under Different Land Use Intensities

L. Wang, Z. Liu, Yulin Zhao, Lei Ma, Chunhua Jia
article en

Abstract

Soil microbial communities are fundamental to ecosystem function and soil health, yet how differing land-use intensities shape these communities and their interaction networks remains unclear. We investigated soils from greenhouse cultivation (GH), arched shed systems (ASs), and open farmlands (FLs) to compare microbial composition, diversity, and network stability under contrasting management intensities. GH soils had the highest electrical conductivity, ca. ~3.9 times higher than FL soil and ~1.9 times higher than AS soil, alongside elevated soil organic matter, total N, and available nutrients. AS soil maintained intermediate nutrient levels. Bacterial α-diversity was higher in AS and GH soils than in FL soil, whereas fungal α-diversity was comparable among systems despite differences in community composition. Microbial co-occurrence network analysis revealed the most complex and robust network in ASs, followed by FLs, while GH soil had the simplest and least stable network. Structural equation modeling showed that soil chemical properties had the largest direct influence on network complexity and stability, followed by soil enzyme activities; microbial diversity and key taxa also contributed to network complexity and stability. Overall, the moderately managed AS was superior to GH and FLs in sustaining a diverse and resilient soil microbiome and network. These findings provided actionable knowledge for optimizing land management to maintain soil ecological function.

AgronomyVol. 16(1)
Ludong University (CN), Shandong Academy of Agricultural Sciences (CN)
National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 34%
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.