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

Authors :
Universidad de Sevilla. Departamento de Cristalografía, Mineralogía y Química Agrícola
Ministerio de Ciencia e Innovación (MICIN). España
Lozano Guardiola, Elena
García Orenes, Fuensanta
Bárcenas Moreno, G.
Jiménez Pinilla, Patricia
Mataix Solera, Jorge
Arcenegui Baldó, Victoria
Morugán Coronado, Alicia
Mataix Beneyto, Jorge
Universidad de Sevilla. Departamento de Cristalografía, Mineralogía y Química Agrícola
Ministerio de Ciencia e Innovación (MICIN). España
Lozano Guardiola, Elena
García Orenes, Fuensanta
Bárcenas Moreno, G.
Jiménez Pinilla, Patricia
Mataix Solera, Jorge
Arcenegui Baldó, Victoria
Morugán Coronado, Alicia
Mataix Beneyto, Jorge
Publication Year :
2014

Abstract

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.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1253231600
Document Type :
Electronic Resource