Mycorrhiza better predict soil fungal community composition and function than aboveground traits in temperate forest ecosystems
- Dartmouth College; Dartmouth College
- Dartmouth College
We sampled soil in the organic and mineral horizons beneath two AM-associated (Fraxinus americana, Thuja occidentalis) and two ECM-associated tree species (Betula alleghaniensis, and Tsuga canadensis), with an evergreen and deciduous species in each mycorrhizal group. To characterize fungal communities and organic matter decomposition beneath each tree species, we sequenced the ITS1 region of fungal DNA and measured the potential activity of carbon and nitrogen-targeting extracellular enzymes. Each tree species harbored distinct fungal communities, supporting the need to consider both mycorrhizal type and leaf habit. However, between tree characteristics, mycorrhizal type better predicted fungal communities. Across fungal guilds, saprotrophic fungi were the most important group in shaping fungal community differences in soils beneath all tree species. The effect of leaf habit on carbon and nitrogen-targeting hydrolytic enzymes depended on tree mycorrhizal association in the organic horizon, while oxidative enzyme activities were higher beneath EcM-associated trees across both soil horizons and leaf habits. These data include extracellular hydrolytic and oxidative enzyme activities, ITS sequencing fungal community data, soil carbon to nitrogen, and soil pH. Site level data include climate (mean annual temperature, precipitation), elevation, and soil series and order information.
- Research Organization:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; Testing mechanisms of how mycorrhizal associations affect forest soil carbon and nitrogen cycling
- Sponsoring Organization:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- OSTI ID:
- 1962817
- Country of Publication:
- United States
- Language:
- English
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