Title
Soil microbial community composition does not predominantly determine the variance of heterotrophic soil respiration across four subtropical forests Soil microbial community composition does not predominantly determine the variance of heterotrophic soil respiration across four subtropical forests
Author
Faculty/Department
Faculty of Sciences. Biology
Faculty of Sciences. Chemistry
Publication type
article
Publication
London :Nature Publishing Group ,
Subject
Engineering sciences. Technology
Source (journal)
Scientific reports. - London, 2011, currens
Volume/pages
5(2015) , 6 p.
ISSN
2045-2322
2045-2322
Article Reference
7854
Carrier
E-only publicatie
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
To explore the importance of soil microbial community composition on explaining the difference in heterotrophic soil respiration (R-h) across forests, a field investigation was conducted on R-h and soil physiochemical and microbial properties in four subtropical forests in southern China. We observed that R-h differed significantly among forests, being 2.48 +/- 0.23, 2.31 +/- 0.21, 1.83 +/- 0.08 and 1.56 +/- 0.15 mu mol m(-2) s(-1) in the climax evergreen broadleaf forest (BF), the mixed conifer and broadleaf forest (CF), the conifer plantation (CP), and the native broadleaved species plantation (BP), respectively. Both linear mixed effect model and variance decomposition analysis indicated that soil microbial community composition derived from phospholipid fatty acids (PLFAs) was not the first-order explanatory variable for the R-h variance across the forests, with the explanatory power being 15.7%. Contrastingly, vegetational attributes such as root biomass (22.6%) and soil substrate availability (18.6%) were more important for explaining the observed R-h variance. Our results therefore suggest that vegetation attributes and soil carbon pool size, rather than soil microbial community composition, should be preferentially considered to understand the spatial R-h variance across the subtropical forests in southern China.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/87606c/9591.pdf
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