Soil microbial network complexity predicts ecosystem function along elevation gradients on the Tibetan Plateau

Chen, Wenqing; Wang, Jianyu; Chen, Xiang; Meng, Zexin; Xu, Ran; Duoji, Dunzhu; Zhang, Junhong; He, Jia; Wang, Zhengang; Chen, Jun; Liu, Kaixi; Hu, Tianming; Zhang, Yingjun

doi:10.1016/j.soilbio.2022.108766

Cited by 173 publications

(64 citation statements)

References 74 publications

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“…The network patterns were plotted with Gephi and were visualized by the Frucherman Reingold algorithms. To ensure that the derived network is non-random and scale-free, these networks were evaluated against their networks (100 randomized versions) with the same number of vertices and edges [38]. The obtained site-level network meta-matrices were then used to sub-set network matrices for each sampling plot by preserving the OTUs present within the plot and all the edges among them in the site-level network [47].…”

Section: Microbial Co-occurrence Network Constructionmentioning

confidence: 99%

“…The obtained site-level network meta-matrices were then used to sub-set network matrices for each sampling plot by preserving the OTUs present within the plot and all the edges among them in the site-level network [47]. The following topological parameters (which indicate linkage density), the node and link numbers, average neighbors, connectance (i.e., the proportion of realized links from all possible connections in the network), and linkage density (links per OTU), were tightly correlated, thus linkage density was used to denote the network complexity index [38,47,48].…”

Section: Microbial Co-occurrence Network Constructionmentioning

confidence: 99%

“…Recently, microbial network analysis has been widely used by microbial ecologists and the results reveal the interrelationships, or co-occurrence patterns, between microorganisms in various environments [36][37][38]. Complicated interconnections between microorganisms can be represented as co-occurrence networks with microbial taxa as nodes and their relationships as links [39,40].…”

Section: Introductionmentioning

confidence: 99%

“…Complicated interconnections between microorganisms can be represented as co-occurrence networks with microbial taxa as nodes and their relationships as links [39,40]. Moreover, microbial diversity and interactions between taxa can vary through time [41], space [38], or environments [42]. This indicates that the interaction between microbial species can be combined with species diversity to better understand the response of microbial communities to the environment.…”

Section: Introductionmentioning

confidence: 99%

“…This indicates that the interaction between microbial species can be combined with species diversity to better understand the response of microbial communities to the environment. The next frontier is to go beyond just assessing the role of univariate microbial diversity and investigate how changes in the complexity of interconnectivity among co-occurring microbes impacts the variation in ecological processes [38]. However, to the best of our knowledge, the effect of the short-term ecological restoration of different plant types on the microbial network's complexity is unclear.…”

Section: Introductionmentioning

confidence: 99%

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Short-Term Vegetation Restoration Enhances the Complexity of Soil Fungal Network and Decreased the Complexity of Bacterial Network

Chen

Pang

et al. 2022

JoF

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Different vegetation restoration methods may affect the soil’s physicochemical properties and microbial communities. However, it is not known how the microbial network’s complexity of the bacterial and fungal communities respond to short-term vegetation restoration. We conducted a short-term ecological restoration experiment to reveal the response of the soil’s microbial community and microbial network’s stability to initial vegetation restoration during the restoration of the degraded grassland ecosystem. The two restoration methods (sowing alfalfa (Medicago sativa, AF) and smooth brome (Bromus inermis, SB)) had no significant effect on the alpha diversity of the fungal community, but the SB significantly increased the alpha diversity of the soil surface bacterial community (p < 0.01). The results of NMDS showed that the soil’s fungal and bacterial communities were altered by a short-term vegetation restoration, and they showed that the available phosphorus (AP), available potassium (AK), and nitrate nitrogen (nitrate-N) were closely related to changes in bacterial and fungal communities. Moreover, a short-term vegetation restoration significantly increased the complexity and stability of fungi ecological networks, but the opposite was the case with the bacteria. Our findings confirm that ecological restoration by sowing may be favorable to the amelioration of soil fungi complexity and stability in the short-term. Such findings may have important implications for soil microbial processes in vegetation recovery.

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Section: Microbial Co-occurrence Network Constructionmentioning

confidence: 99%

Section: Microbial Co-occurrence Network Constructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Short-Term Vegetation Restoration Enhances the Complexity of Soil Fungal Network and Decreased the Complexity of Bacterial Network

Chen

Pang

et al. 2022

JoF

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Multitrophic Diversity of the Biotic Community Drives Ecosystem Multifunctionality in Alpine Grasslands

Su,

Wang,

et al. 2024

Ecology and Evolution

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Biodiversity and ecosystem multifunctionality are currently hot topics in ecological research. However, little is known about the role of multitrophic diversity in regulating various ecosystem functions, which limits our ability to predict the impact of biodiversity loss on human well‐being and ecosystem multifunctionality. In this study, multitrophic diversity was divided into three categories: plant, animal, and microbial communities (i.e., plant diversity, rodent diversity, and bacterial and fungal diversity). Also, 15 ecosystem functions were divided into four categories—water conservation, soil fertility, nutrient cycling and transformation, and community production—to evaluate the significance of biotic and abiotic variables in maintaining ecosystem multifunctionality. Results indicated that species diversity at multiple trophic levels had a greater positive impact on ecosystem multifunctionality than species diversity at a single trophic level. Notably, the specific nature of this relationship depended on the niche breadths of plants, indicating that plants played a key role in linking above and belowground trophic levels. Abiotic factors such as altitude and pH directly acted on ecosystem multifunctionality and could explain changes in ecosystem functions. Overall, our study offers valuable insights into the critical role of multitrophic species diversity in preserving ecosystem multifunctionality within alpine grassland communities, as well as strong support for the importance of biodiversity protection.

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Decreased soil multifunctionality is associated with altered microbial network properties under precipitation reduction in a semiarid grassland

Wang

Zhang

et al. 2023

iMeta

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Soil microbial network complexity predicts ecosystem function along elevation gradients on the Tibetan Plateau

Cited by 173 publications

References 74 publications

Short-Term Vegetation Restoration Enhances the Complexity of Soil Fungal Network and Decreased the Complexity of Bacterial Network

Short-Term Vegetation Restoration Enhances the Complexity of Soil Fungal Network and Decreased the Complexity of Bacterial Network

Multitrophic Diversity of the Biotic Community Drives Ecosystem Multifunctionality in Alpine Grasslands

Decreased soil multifunctionality is associated with altered microbial network properties under precipitation reduction in a semiarid grassland

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