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

Journal of Hydrology and Hydromechanics

卷:62

Jiménez-Pinilla Patricia¹  Arcenegui Victoria¹  Mataix-Beneyto Jorge¹  Lozano Elena¹  Mataix-Solera Jorge¹  García-Orenes Fuensanta¹  Bárcenas-Moreno Gema²  Morugán-Coronado Alicia³ 

[1] GEA (Grupo de Edafología Ambiental). Departamento de Agroquímica y Medio Ambiente, Universidad Miguel Hernández, Avenida de la Universidad s/n, 03202 Elche, Alicante, Spain;

[2] MEDSoil Research Group, Departamento de Cristalografía, Mineralogía y Química Agrícola, Facultad de Química, Universidad de Sevilla, Spain;

[3] SEDER, Department of Geography, University of Valencia, Blasco Ibañez, 28, 46010-Valencia, Spain;

关键词: soil hydrophobicity;    phospholipids fatty acids;    microbial community structure;    biohydrology;    actinobacteria;    glomalin related soil protein;   

DOI  :  10.2478/johh-2014-0017

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown