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
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
15702546
DOI
10.1007/bf02931534
Knihovny.cz E-zdroje
- MeSH
- benzopyrany metabolismus MeSH
- biodegradace MeSH
- DNA fungální genetika MeSH
- druhová specificita MeSH
- dusík metabolismus MeSH
- ekosystém MeSH
- houby klasifikace genetika izolace a purifikace metabolismus MeSH
- oxid uhličitý metabolismus MeSH
- počet mikrobiálních kolonií MeSH
- půda analýza MeSH
- půdní mikrobiologie * MeSH
- rostliny metabolismus mikrobiologie MeSH
- sekvence nukleotidů MeSH
- životní prostředí MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Švýcarsko MeSH
- Názvy látek
- benzopyrany MeSH
- DNA fungální MeSH
- dusík MeSH
- fulvic acid MeSH Prohlížeč
- oxid uhličitý MeSH
- půda 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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