Response of saprotrophic microfungi degrading the fulvic fraction of soil organic matter to different N fertilization intensities, different plant species cover and elevated atmospheric CO2 concentration
Language English Country United States Media print
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
15702546
DOI
10.1007/bf02931534
Knihovny.cz E-resources
- MeSH
- Benzopyrans metabolism MeSH
- Biodegradation, Environmental MeSH
- DNA, Fungal genetics MeSH
- Species Specificity MeSH
- Nitrogen metabolism MeSH
- Ecosystem MeSH
- Fungi classification genetics isolation & purification metabolism MeSH
- Carbon Dioxide metabolism MeSH
- Colony Count, Microbial MeSH
- Soil analysis MeSH
- Soil Microbiology * MeSH
- Plants metabolism microbiology MeSH
- Base Sequence MeSH
- Environment MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Switzerland MeSH
- Names of Substances
- Benzopyrans MeSH
- DNA, Fungal MeSH
- Nitrogen MeSH
- fulvic acid MeSH Browser
- Carbon Dioxide MeSH
- Soil MeSH
The response of the cenosis composition of soil saprotrophic microfungi able to utilize the fulvic fraction of soil organic matter to increased concentration of atmospheric carbon dioxide, plant species cover quality and different levels of nitrogen fertilization was determined under field conditions in a free-air carbon dioxide enrichment experiment. Twenty-nine species of microfungi were isolated from the tested soil. The effects of CO2 enrichment and plant species cover were not significant. Nitrogen fertilization was identified as the only significant factor inducing changes in the abundance of soil microorganisms. This was reflected in a relatively low value of quantitative Sørensen similarity index on comparing fertilized and unfertilized treatments and in 2-way ANOVA of total CFU counts. Some differences were observed in species diversity between the two variants of all treatments. No association between microfungi and the factors under study was found by using the Monte Carlo Permutation test in redundancy analysis.
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