Evidence map›Paper›PMID 41149944›Full record

ArticleJournal of fungi (Basel, Switzerland)2025

Characteristics of Plant Community, Soil Physicochemical Properties, and Soil Fungal Community in a 22-Year Established Poaceae Mixed-Sown Grassland.

Pei Gao, Liangyu Lyu, Yunfei Xing, Jun Ma, Yan Liu, Zhijie Yang, Xin Wang, Jianjun Shi

Abstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Pei GaoAcademy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining 810016, China.ORCID 0009-0003-7132-6788
Liangyu LyuAcademy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining 810016, China.ORCID 0009-0008-1105-3083
Yunfei XingAcademy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining 810016, China.
Jun MaQinghai Grassland Improvement Experimental Station, Gonghe 813000, China.
Yan LiuAcademy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining 810016, China.
Zhijie YangAcademy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining 810016, China.
Xin WangAcademy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining 810016, China.
Jianjun ShiAcademy of Animal Husbandry and Veterinary Sciences, Qinghai University, Xining 810016, China.

Funding

The Qinghai Provincial Forestry and Grass Bureau Project-Tuotuo River Thoreau Grassland Breeding Technology Demonstration Qing 2024 TG02The Second Comprehensive Scientific Investigation and Research Project of Qinghai-Tibet Plateau 2019QZKK1002
6 · The paper itself

Abstract

This study aims to evaluate the restoration effect of artificially mixed-sown grasslands by investigating the characteristics of plant communities and soil fungal communities in long-term (22-year-established) artificial grasslands under six Poaceae mixture combinations. The experiment took mixed-sown grasslands of grass species established in 2002 on the Qinghai-Tibet Plateau as the research object. It employed ITS gene high-throughput sequencing technology to construct a fungal community distribution map and combined it with FUNGuild (Functional Guilds of Fungi) functional predictions to analyze fungal species abundance, structural diversity, molecular co-occurrence networks, and functional characteristics. By integrating Mantel test and RDA (redundancy analysis), we identified key environmental factors driving soil microbial community structure in mixed-sown grasslands and revealed the plant-soil-microbe interaction mechanisms in a Poaceae mixture grassland. The results showed that the HC treatment (a mixture of three grass species) significantly enhanced plant biomass and soil nutrient accumulation. In 2023 and 2024, its aboveground biomass increased by 66.14% and 60.91%, respectively, compared to the HA treatment (monoculture). Soil organic matter increased by 52.32% and 48.35%, while electrical conductivity decreased by 48.99% and 51.72%, respectively. The fungal community structure improved under the HD treatment (a mixture of four grass species), with an increased abundance of the dominant phylum Ascomycota and a 14.44% rise in the Shannon index compared to the HA treatment. The network complexity under the HF treatment (a mixture of six grass species) increased (with edge numbers reaching 494), while the functional abundance of plant pathogen was significantly lower than that under the HA treatment. Mantel test and RDA revealed that SEC (soil electrical conductivity) was significantly positively correlated with pH, while both exhibited negative correlations with other plant and soil physicochemical indicators. Moreover, SEC emerged as the core factor driving fungal community assembly. Mixed sowing of three to four grass species effectively regulated soil electrical conductivity, simultaneously enhancing plant biomass, soil nutrients, and fungal community diversity, representing an optimal strategy for artificial restoration of degraded grasslands.

Indexed as

artificial grasslandgrass Poaceae forage grass sowing combinationsSanjiangyuan regionsoil microorganismssoil physicochemical properties

Identifiers

PMID41149944
PMCPMC12565124

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.