Seedling nitrogen uptake and rhizodeposition between mycorrhizal types

Dataset · Mon Jan 01 04:00:00 EST 2024

DOI:https://doi.org/10.15485/2336869· OSTI ID:2336869

Fitch, Amelia ^[1]; Goldsmith, Sarah ^[2]; Lankau, Richard ^[3]; Wurzburger, Nina ^[4]; Shortt, Zachary ^[2]; Vrattos, Augustos; Laurent, Ella ^[2]; Hicks Pries, Caitlin ^[2]

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1. Oregon State University; ESS-DIVE
2. Dartmouth College
3. University of Wisconsin, Madison
4. University of Georgia

Tree mycorrhizal associations are associated with patterns in N cycling and soil organic matter (SOM) storage, however, we still lack a mechanistic understanding of what tree and fungal traits drive these patterns and how they will respond to global changes in soil N availability. To address this knowledge gap, we investigated how arbuscular mycorrhizal (AM)- and ectomycorrhizal (EcM)-associated seedlings alter rhizodeposition in response to increased inorganic N acquisition. Specifically, we conducted this greenhouse experiment in a sealed labeling chamber with an enriched 13Carbon atmosphere and 15Nitrogen enriched fertilizer over the course of five months from April 2021 - August 2021. To include the variability across tree species, we grew eight species of seedlings belonging to eight families that were either arbuscular (Acer rubrum, Nyssa sylvatica, Thuja occidentalis, and Prunus seritina) or ectomycorrhizal-associated (Quercus rubra, Tilia americana, Pinus strobus, and Betula lenta). We measured rhizodeposition (mg 13C), plant N uptake from fertilizer (mg N), net soil carbon, and the abundance of mycorrhizal fungi (ITS sequencing and qPCR). We also characterized fungal (ITS2) and bacterial (16S) soil communities.The data from this project are ".csv" files that can up downloaded into a folder, and then run in the associated R markdown scripts after changing the source folder location at the top of the script. These data include raw outputs and processed files (using the R markdown files) for seedling growth and biomass, 15N content, soil 13C content, raw reads and processed file versions for fungal and bacterial ASVS, and a final summary file used for modeling. R software is needed to run these data, and the packages needed are listed at the top of the R markdown file.

• 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)
• DOE Contract Number: SC0020228
• OSTI ID: 2336869
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
EARTH SCIENCE > AGRICULTURE > SOILS > NITROGEN
EARTH SCIENCE > ATMOSPHERE > AEROSOLS > NITRATE PARTICLES
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC CHEMISTRY > NITROGEN COMPOUNDS > AMMONIA
EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > FUNGI
EARTH SCIENCE > BIOSPHERE > VEGETATION > BIOMASS
EARTH SCIENCE > LAND SURFACE > SOILS
EARTH SCIENCE > LAND SURFACE > SOILS > ORGANIC MATTER
EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > ORGANIC CARBON