Paper · 2025 · Land Degradation and Development

Relationship Between Plant Communities and Soil Microbial Diversity and Community Structure in the Desert Steppe of Inner Mongolia

Houpu Chen; Changjia Li; Shuai Wang; et al.

12
claims
12
verbatim quotes
1
citations
2
research areas
—
Not open access

Abstract

ABSTRACT Soil microbial biodiversity plays a fundamental role in regulating dryland ecosystem multifunctionality, being influenced by various environmental factors, particularly plant cover and soil properties. However, the complex interactions among soil microbial communities, plant communities, and soil physicochemical properties in desert steppe ecosystems remain inadequately understood. To address this knowledge gap, we examined the relationships between aboveground plant communities and soil environmental parameters (including nitrate nitrogen, pH, cation exchange capacity, and effective phosphorus) and their influence on the diversity and community structure of soil bacteria, archaea, and fungi across 37 desert steppe sites in Bayannur, Inner Mongolia, a typical northern China's dryland region. Our results showed that bacterial diversity exhibited significant variation among plant communities, with notably higher diversity in Stipa breviflora ‐dominated soils compared to Peganum harmala ‐dominated soils. The microbial communities were characterized by dominant phyla: Acidobacteriota (21.5%) in bacteria, Crenarchaeota (97.3%) in archaea, and Ascomycota (82.1%) in fungi. Bacterial diversity was significantly correlated with soil pH, available potassium, and carbonate content, while archaeal diversity showed strong correlations with ammonium nitrogen, available phosphorus, carbonate content, and cation exchange capacity. Fungal diversity, however, exhibited significant correlation only with available phosphorus. Environmental factors explained varying degrees of community structure variations, with the highest explanatory power for archaea (66.1%), followed by bacteria (49.0%) and fungi (32.8%). Structural equation modeling (SEM) revealed that plant communities influenced bacterial communities primarily through modifications in soil pH and ion contents. These findings underscore the critical role of plant communities and soil properties in shaping soil microbial diversity patterns. Given the essential function of biodiversity in ecosystem processes, our findings propose that soil bacterial diversity that was sensitive to vegetation shifts and closely linked to soil nutrient dynamics serves as a valuable bioindicator for monitoring and assessing degradation in desert steppe ecosystems.

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Claims 12

Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Bacterial diversity differed significantly among plant communities, being higher in Stipa breviflora-dominated soils than in Peganum harmala-dominated soils.

Taxon
Stipa brevifloraStipa breviflorae1
Outcome
bacterial diversitye1
Direction
highere1
Comparator
Peganum harmalae1

Verbatim

e1

“bacterial diversity exhibited significant variation among plant communities, with notably higher diversity in Stipa breviflora ‐dominated soils compared to Peganum harmala ‐dominated soils”

✓ located verbatim in the source · abstract, characters 836–1024 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Acidobacteriota was the dominant bacterial phylum (21.5%).

Taxon
bacteriaBacteriae1
Outcome
Acidobacteriotae1
Value
21.5%e1
Qualifier
in bacteriae1

Verbatim

e1

“dominant phyla: Acidobacteriota (21.5%) in bacteria”

✓ located verbatim in the source · abstract, characters 1074–1125 · show in text ↑
Observationobservedoriginal resultmeasured

Claim · model-written summary

Crenarchaeota was the dominant archaeal phylum (97.3%).

Taxon
archaeaArchaeae1
Outcome
Crenarchaeotae1
Value
97.3%e1
Qualifier
in archaeae1

Verbatim

e1

“Crenarchaeota (97.3%) in archaea”

✓ located verbatim in the source · abstract, characters 1127–1159 · show in text ↑
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Bacterial diversity was significantly correlated with soil pH, available potassium and carbonate content.

Compound
soil pH, available potassium, and carbonate contente1
Outcome
Bacterial diversitye1

Not reportedTaxonDirection

Verbatim

e1

“Bacterial diversity was significantly correlated with soil pH, available potassium, and carbonate content”

✓ located verbatim in the source · abstract, characters 1194–1299 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Archaeal diversity correlated strongly with ammonium nitrogen, available phosphorus, carbonate content and cation exchange capacity.

Compound
ammonium nitrogen, available phosphorus, carbonate content, and cation exchange capacitye1
Outcome
archaeal diversitye1

Not reportedTaxonDirection

Verbatim

e1

“archaeal diversity showed strong correlations with ammonium nitrogen, available phosphorus, carbonate content, and cation exchange capacity”

✓ located verbatim in the source · abstract, characters 1307–1446 · show in text ↑
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Fungal diversity correlated significantly only with available phosphorus.

Compound
available phosphoruse1
Outcome
Fungal diversitye1

Not reportedTaxonDirection

Verbatim

e1

“Fungal diversity, however, exhibited significant correlation only with available phosphorus”

✓ located verbatim in the source · abstract, characters 1448–1539 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Environmental factors explained 66.1% of archaea community structure variation.

Taxon
archaeaArchaeae1
Treatment
Environmental factorse1
Outcome
community structure variationse1
Value
66.1%e1

Not reportedDirection

Verbatim

e1

“Environmental factors explained varying degrees of community structure variations, with the highest explanatory power for archaea (66.1%), followed by bacteria (49.0%) and fungi (32.8%)”

✓ located verbatim in the source · abstract, characters 1541–1726 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Environmental factors explained 49.0% of bacteria community structure variation.

Taxon
bacteriaBacteriae1
Treatment
Environmental factorse1
Outcome
community structure variationse1
Value
49.0%e1

Not reportedDirection

Verbatim

e1

“Environmental factors explained varying degrees of community structure variations, with the highest explanatory power for archaea (66.1%), followed by bacteria (49.0%) and fungi (32.8%)”

✓ located verbatim in the source · abstract, characters 1541–1726 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Environmental factors explained 32.8% of fungi community structure variation.

Taxon
fungiFungie1
Treatment
Environmental factorse1
Outcome
community structure variationse1
Value
32.8%e1

Not reportedDirection

Verbatim

e1

“Environmental factors explained varying degrees of community structure variations, with the highest explanatory power for archaea (66.1%), followed by bacteria (49.0%) and fungi (32.8%)”

✓ located verbatim in the source · abstract, characters 1541–1726 · show in text ↑
Mechanismauthor interpretationoriginal resultsimulated

Claim · model-written summary

Structural equation modeling indicated plant communities influenced bacterial communities primarily through soil pH and ion contents.

Taxon
bacterial communitiese1
Outcome
bacterial communitiese1
Qualifier
modifications in soil pH and ion contentse1

Verbatim

e1

“plant communities influenced bacterial communities primarily through modifications in soil pH and ion contents”

✓ located verbatim in the source · abstract, characters 1777–1887 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors propose soil bacterial diversity as a bioindicator for monitoring degradation in desert steppe ecosystems.

Taxon
bacteriale1
Outcome
valuable bioindicatore1
Setting
desert steppe ecosystemse1

Verbatim

e1

“soil bacterial diversity that was sensitive to vegetation shifts and closely linked to soil nutrient dynamics serves as a valuable bioindicator for monitoring and assessing degradation in desert steppe ecosystems”

✓ located verbatim in the source · abstract, characters 2115–2327 · show in text ↑