Soil microbial communities in relation to subtropical forest characteristics

in International Symposium (poster paper), 國際研討會(全文海報發表)
標題Soil microbial communities in relation to subtropical forest characteristics
AuthorsJessica Gutknecht, J. G., Yu-Ting Wu 吳羽婷, Karin Nadrowski K. N., Christian Geisler C. G., Peter Kuhn P. K., Thomas Scholten T. S., Sabine Both S. B., Alexsander Erfmeier A. E., Martin Bohnke M. B., Helge Bruelheide H. E. L. G. E. B. R. U. E. L. H. E. I. D. E., Tesfaye Wubet T. W., & Francois Buscot F. B.
會議名稱Verhandlungen der Gesellschaft fur Okologie
出版日期Sep 5 2011 12:0

Soil microorganisms, as regulators of many key nutrient cycles, play an important role in ecosystem function. Thus it is important to understand how microbial communities grow and
function in relation to plant growth, plant biodiversity, and soil characteristics. The BEF China
(Biodiversity and Ecosystem Functioning) project, based in subtropical China, is a large
collaborative ecological study ideal for exploring these relationships. Initial samples were taken
from three forest age classes in comparative study plots (CSPs), established to study forest
reestablishment over time. Microbial biomass, community structure, and function were then
determined using Substrate Induced Respiration (SIR) and Phospholipid Fatty Acid analysis
(PLFA). Multivariate statistics were then used to compare the microbial communities with soil
and plant community parameters that had been measured by project collaborators. Results
suggested many interesting relationships. First, microbial activity (SIR) was more correlated
with soil characteristics, while microbial community biomass and composition were more
correlated with different parameters of forest productivity including herb layer cover, tree
canopy cover, and biomass of woody recruits. Specifically, microbial biomass and individual
lipid indicators were positively correlated with the biomass of woody recruits and with litter
cover, while these indicators were negatively correlated with dead wood biomass. Based on
these results, we will experimentally examine the effects of tree growth, forest diversity, and
litter decomposition to more deeply determine how forest dynamics are related to microbial
community biomass, structure, and function.

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