Is vegetation composition or soil chemistry the best predictor of the soil microbial community?

Mitchell, Ruth J.; Hester, Alison J.; Campbell, Colin D.; Chapman, Stephen J.; Cameron, Clare; Hewison, Richard L.; Potts, Jacqueline M.

doi:10.1007/s11104-010-0357-7

Cited by 117 publications

(89 citation statements)

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“…We used this novel approach to characterize plant composition among plots and found that the plant community was a stronger predictor of the fungal community than were soil properties or geographic distance. These results are consistent with those of Mitchell et al (2010), who showed that plant community composition was a better predictor of microbial community composition than was soil chemistry across a plant successional gradient in a boreal ecosystem. Our findings support those of Peay et al (2013), who found a significant correlation between plant community composition and fungal community composition in three tropical forests, and further show that fungal community composition is more closely linked to plant community composition than to either environmental variability or geographic distance.…”

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confidence: 91%

Links between plant and fungal communities across a deforestation chronosequence in the Amazon rainforest

et al. 2014

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Understanding the interactions among microbial communities, plant communities and soil properties following deforestation could provide insights into the long-term effects of land-use change on ecosystem functions, and may help identify approaches that promote the recovery of degraded sites. We combined high-throughput sequencing of fungal rDNA and molecular barcoding of plant roots to estimate fungal and plant community composition in soil sampled across a chronosequence of deforestation. We found significant effects of land-use change on fungal community composition, which was more closely correlated to plant community composition than to changes in soil properties or geographic distance, providing evidence for strong links between above-and below-ground communities in tropical forests.

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confidence: 91%

Links between plant and fungal communities across a deforestation chronosequence in the Amazon rainforest

et al. 2014

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“…Many studies have found plant species composition to be a good indicator of belowground community composition (Mitchell et al 2010;Thoms et al, 2010). In these studies the differences between plants of the same species cannot be distinguished, replicates of samples were combined for microbiological analysis, so differences found represent the general influence of tree species in a large area.…”

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Relationships between soil water repellency and microbial community composition under different plant species in a Mediterranean semiarid forest

Lozano

García‐Orenes

Bárcenas-Moreno

et al. 2014

Journal of Hydrology and Hydromechanics

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Soil water repellency (SWR) can influence many hydrological soil properties, including water infiltration, uneven moisture distribution or water retention. In the current study we investigated how variable SWR persistence in the field is related to the soil microbial community under different plant species (P. halepensis, Q. rotundifolia, C. albidus and R. officinalis) in a Mediterranean forest. The soil microbial community was determined through phospholipid fatty acids (PLFA). The relationships between microbiological community structure and the soil properties pH, Glomalin Related Soil Protein (GRSP) and soil organic matter (SOM) content were also studied. Different statistical analyses were used: Principal Component Analysis (PCA), ANOVA, Redundancy Analysis and Pearson correlations. The highest concentrations of PLFA were found in the most water repellent samples. PCA showed that microorganism composition was more dependent of the severity of SWR than the type of plant species. In the Redundancy Analysis, SWR was the only significant factor (p<0.05) to explain PLFA distributions. The only PLFA biomarkers directly related to SWR were associated with Actinobacteria (10Me16:0, 10Me17:0 and 10Me18:0). All the results suggest that a strong dependence between SWR and microbial community composition.

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“…Reynolds et al 2003;van der Heijden et al 2008). Mitchell et al (2010b) studied the relationship between the SMC, soil chemical properties and plant composition along a successional gradient from open moorland to Betula woodland. They showed that the vegetation community is as good a predictor of the SMC as the soil chemistry.…”

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Explaining the variation in the soil microbial community: do vegetation composition and soil chemistry explain the same or different parts of the microbial variation?

et al. 2011

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Is vegetation composition or soil chemistry the best predictor of the soil microbial community?

Abstract: With the species composition and/

Cited by 117 publications

References 50 publications

Links between plant and fungal communities across a deforestation chronosequence in the Amazon rainforest

Links between plant and fungal communities across a deforestation chronosequence in the Amazon rainforest

Relationships between soil water repellency and microbial community composition under different plant species in a Mediterranean semiarid forest

Explaining the variation in the soil microbial community: do vegetation composition and soil chemistry explain the same or different parts of the microbial variation?

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