Literature DB >> 25041588

Environmental drivers of soil microbial community distribution at the Koiliaris Critical Zone Observatory.

Myrto Tsiknia1, Nikolaos V Paranychianakis, Emmanouil A Varouchakis, Daniel Moraetis, Nikolaos P Nikolaidis.   

Abstract

Data on soil microbial community distribution at large scales are limited despite the important information that could be drawn with regard to their function and the influence of environmental factors on nutrient cycling and ecosystem services. This study investigates the distribution of Archaea, Bacteria and Fungi as well as the dominant bacterial phyla (Acidobacteria, Actinobacteria, Bacteroidetes, Firmicutes), and classes of Proteobacteria (Alpha- and Betaproteobacteria) across the Koiliaris watershed by qPCR and associate them with environmental variables. Predictive maps of microorganisms distribution at watershed scale were generated by co-kriging, using the most significant predictors. Our findings showed that 31-79% of the spatial variation in microbial taxa abundance could be explained by the parameters measured, with total organic carbon and pH being identified as the most important. Moreover, strong correlations were set between microbial groups and their inclusion on variance explanation improved the prediction power of the models. The spatial autocorrelation of microbial groups ranged from 309 to 2.226 m, and geographic distance, by itself, could explain a high proportion of their variation. Our findings shed light on the factors shaping microbial communities at a high taxonomic level and provide evidence for ecological coherence and syntrophic interactions at the watershed scale.
© 2014 Federation of European Microbiological Societies. Published by John Wiley & Sons Ltd. All rights reserved.

Entities:  

Keywords:  critical zone; qPCR; soil microbial community; spatial distribution

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Year:  2014        PMID: 25041588     DOI: 10.1111/1574-6941.12379

Source DB:  PubMed          Journal:  FEMS Microbiol Ecol        ISSN: 0168-6496            Impact factor:   4.194


  2 in total

1.  Soil Moisture Content Estimation Based on Sentinel-1 and Auxiliary Earth Observation Products. A Hydrological Approach.

Authors:  Dimitrios D Alexakis; Filippos-Dimitrios K Mexis; Anthi-Eirini K Vozinaki; Ioannis N Daliakopoulos; Ioannis K Tsanis
Journal:  Sensors (Basel)       Date:  2017-06-21       Impact factor: 3.576

2.  Soil multifunctionality is affected by the soil environment and by microbial community composition and diversity.

Authors:  Qing Zheng; Yuntao Hu; Shasha Zhang; Lisa Noll; Theresa Böckle; Marlies Dietrich; Craig W Herbold; Stephanie A Eichorst; Dagmar Woebken; Andreas Richter; Wolfgang Wanek
Journal:  Soil Biol Biochem       Date:  2019-06-26       Impact factor: 7.609

  2 in total

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