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DIVISION S-3-SOIL BIOLOGY & BIOCHEMISTRY

Landscape-Level Patterns of Microbial Community Composition and Substrate Use in Upland Forest Ecosystems

^a School of Natural Resources & Environment, Univ. of Michigan, Ann Arbor, MI 48109
^b Center for Environmental Biotechnology, Univ. of Tennessee, Knoxville, TN 37932

Corresponding author (drzak{at}umich.edu)

The composition and diversity of biotic communities are controlled by the availability of growth-limiting resources. Resource availability for microbial populations in soil is controlled by the amount and types of organic compounds entering soil from plant litter. Because plant communities differ in the amount and type of substrates entering soil, we reasoned that the composition and function of soil microbial communities should differ with the dominant vegetation. We tested this idea by studying two sugar maple (Acer saccharum Marsh.)-dominated and one oak (Quercus spp.)-dominated forest ecosystems in northern Lower Michigan that differ in rates of soil N cycling. We used phospholipid fatty acid (PLFA) analysis to gain insight into microbial community composition, and we used a subset of Biolog GN substrates found in root exudate to assess the metabolic capabilities soil microbial communities. Although microbial biomass did not differ among ecosystems, principal components analysis of bacterial, actinomycetal, and fungal PLFAs clearly separated the microbial communities of the three ecosystems. Similarly, principal components analysis separated microbial communities by differences in growth on carbohydrates, organic acids, and amino acids. Discrimination among microbial communities in the three ecosystems by PLFAs and substrate use occurred in spring, summer, and fall, but the individual PLFAs and substrates contributing to discrimination changed during the growing season. Our results indicate that floristically and edaphically distinct forest ecosystems also differ in microbial community composition and substrate use. This pattern was consistent across the growing season and repeatedly occurred across relatively large land areas.

Abbreviations: ANOVA, analysis of variance • FAME, fatty acid methyl ester • GC, gas chromatograph • MS, mass spectrometer • PCA, principal components axis • PLFA, phospholipid fatty acid

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