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

Title:

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

Creator:

Lozano, Elena, García-Orenes, Fuensanta, Bárcenas-Moreno, Gema, Jiménez-Pinilla, Patricia, Mataix-Solera, Jorge, Arcenegui, Victoria, Morugán-Coronado, Alicia, and Mataix-Beneyto, Jorge

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:1479c004-7d09-4a8e-bdba-69590bef058e
uuid:1479c004-7d09-4a8e-bdba-69590bef058e
doi:10.2478/johh-2014-0017

Subject:

soil hydrophobicity, phospholipids fatty acids, microbial community structure, biohydrology, actinobacteria, and glomalin related soil protein

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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.

Language:

Slovak

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

101-107

Source:

Journal of hydrology and hydromechanics | 2014 Volume:62 | Number:2

Harvested from:

CDK

Metadata only:

false