Effects of different management practices on soil microbial community structure and function in alpine grassland

Su, Jian; Ji, Weihong; Sun, Xiaomei; Wang, Haifang; Kang, Yukun; Yao, Baohui

doi:10.1016/j.jenvman.2022.116859

Cited by 18 publications

(8 citation statements)

References 62 publications

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“…Some biochemical features are associated with fungal guilds (Liu et al, 2023; Nguyen et al, 2016; Su et al, 2023). We decided to check the convergence of guilds and gene content profiles.…”

Section: Resultsmentioning

confidence: 99%

FunFun: ITS‐based functional annotator of fungal communities

Krivonos

Konanov

Ilina

2023

Ecology and Evolution

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Natural fungal communities are characterized by a high diversity of unique biochemical pathways, including the biosynthesis of antimicrobial substances, organic acids, and even toxins (Branco, 2019). At the same time, individual fungi from one community might significantly differ from each other in terms of their functional capabilities (Wisecaver et al., 2014). This is due to differences in gene content.Functional capabilities are of great interest to modern industrial biotechnology (Chergui et al., 2021;Habibi et al., 2021;Li et al., 2020). Also, information about gene content can be useful to solve ecological problems such as the bioconversion of solid waste (Chilakamarry et al., 2022) or caffeine utilization (Zhou et al., 2018).To get a more complete picture of the functional capabilities of the fungi under study, functional annotation of whole genome assemblies is used.

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“…Some biochemical features are associated with fungal guilds (Liu et al, 2023; Nguyen et al, 2016; Su et al, 2023). We decided to check the convergence of guilds and gene content profiles.…”

Section: Resultsmentioning

confidence: 99%

FunFun: ITS‐based functional annotator of fungal communities

Krivonos

Konanov

Ilina

2023

Ecology and Evolution

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“…The activities of soil microorganisms and nutrient cycling at the ecological interface between vegetation and soil are further promoted, thereby increasing SOC ( Pang et al., 2020 ). Restoration measures such as grazing, reseeding, and fertilization affect soil microorganisms in the short term, which indirectly affects the decomposition of litter in soil and its corresponding nutrient contents ( Bilotta et al., 2007 ; Drewry et al., 2008 ; Waring et al., 2022 ; Su et al., 2023 ). As a result, soil nutrients at the sites were higher under a relatively heavy grazing intensity.…”

Section: Discussionmentioning

confidence: 99%

“…Vegetation degradation manifests as decreases in biomass, coverage, the proportion of edible herbage, species diversity, and stability and an increase in poisonous plants and weeds. Soil degradation is manifested in variations in soil physicochemical properties and structure and the deterioration of microbial and enzymatic activities ( Xie et al., 2018 ; Peng et al., 2019 ; Su et al., 2023 ). Vegetation degradation is directly caused by soil degradation.…”

Section: Introductionmentioning

confidence: 99%

Assessing the win–win situation of forage production and soil organic carbon through a short-term active restoration strategy in alpine grasslands

Wang,

Kang

et al. 2024

Front. Plant Sci.

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IntroductionGrassland degradation has seriously affected the ecological environment and human livelihood. To abate these, implementing effective management strategies to restore and improve the service functions and productivity of degraded grasslands is crucial.MethodsTo evaluate the influences of restoration measures combined with different grazing intensities on short-term (1 year) grassland restoration, the changes in soil physicochemical properties, as well as plant traits under restoration measures of different grazing intensities, reseeding, and fertilization, were analyzed.ResultsSoil organic carbon (SOC) increased to varying degrees, whereas available nutrients decreased under all combined restoration measures. Reseeding, alone and in combination with fertilization, substantially increased SOC, improved grassland vegetation status, and enhanced grassland productivity. The aboveground biomass of Gramineae and the total aboveground biomass increased under the combined restoration measures of transferring livestock out of the pasture 45 days in advance, reseeding, and fertilization (T4). Redundancy analysis revealed a strong correlation between grassland vegetation characteristics, SOC, and available potassium. Considering soil and vegetation factors, the short-term results suggested that the combination measures in T4had the most marked positive impact on grassland restoration.DiscussionThese findings offer valuable theoretical insights for the ecological restoration of degraded grasslands in alpine regions.

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“…To date, the effect of grazing exclusion on microbial diversity remains fragmented and in need of synthesis. Some studies have observed that grazing exclusion can significantly increase microbial diversity ( Wang et al., 2019 ; Zhang et al., 2019 ; Su et al., 2023 ), while others have found negligible or negative effects on soil microbial diversity ( Li et al., 2022 ; Fan et al., 2023 ; Guo et al., 2023 ). Furthermore, the direction and magnitude of response of microbial diversity to GE are largely determined by the duration of grazing exclusion and vary with microbial group, grassland type, soil depth, and climate conditions ( Aldezabal et al., 2015 ; Yao et al., 2018 ; Chen et al., 2020 ; Peng et al., 2021 ; Wu et al., 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Effects of grazing exclusion on soil microbial diversity and its functionality in grasslands: a meta-analysis

Shu,

Ye,

Huang

et al. 2024

Front. Plant Sci.

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Grazing exclusion (GE) is considered an effective strategy for restoring the degradation of overgrazed grasslands on the global scale. Soil microbial diversity plays a crucial role in supporting multiple ecosystem functions (multifunctionality) in grassland ecosystems. However, the impact of grazing exclusion on soil microbial diversity remains uncertain. Here, we conducted a meta-analysis using a dataset comprising 246 paired observations from 46 peer-reviewed papers to estimate how GE affects microbial diversity and how these effects vary with climatic regions, grassland types, and GE duration ranging from 1 to 64 years. Meanwhile, we explored the relationship between microbial diversity and its functionality under grazing exclusion. Overall, grazing exclusion significantly increased microbial Shannon (1.9%) and microbial richness (4.9%) compared to grazing group. For microbial groups, GE significantly increased fungal richness (8.6%) and bacterial richness (5.3%), but decreased specific microbial richness (-11.9%). The responses of microbial Shannon to GE varied among climatic regions, grassland types, and GE duration. Specifically, GE increased microbial diversity in in arid, semi-arid, and dry sub-humid regions, but decreased it in humid regions. Moreover, GE significantly increased microbial Shannon in semidesert grasslands (5.9%) and alpine grasslands (3.0%), but not in temperate grasslands. Long-term (>20 year) GE had greater effects on microbial diversity (8.0% for Shannon and 6.7% for richness) compared to short-term (<10 year) GE (-0.8% and 2.4%). Furthermore, grazing exclusion significantly increased multifunctionality, and both microbial and plant Shannon positively correlated with multifunctionality. Overall, our findings emphasize the importance of considering climate, GE duration, and grassland type for biodiversity conservation and sustainable grassland ecosystem functions.

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Effects of different management practices on soil microbial community structure and function in alpine grassland

Cited by 18 publications

References 62 publications

FunFun: ITS‐based functional annotator of fungal communities

FunFun: ITS‐based functional annotator of fungal communities

Assessing the win–win situation of forage production and soil organic carbon through a short-term active restoration strategy in alpine grasslands

Effects of grazing exclusion on soil microbial diversity and its functionality in grasslands: a meta-analysis

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