U.S. Department of EnergyOffice of Scientific and Technical Information
Myco-CORPSE simulations assessing mycorrhizal carbon allocation across U.S. forests and global change scenarios
Abstract
Plants allocate a substantial portion of their fixed carbon belowground to mycorrhizal fungi in exchange for nutrients and other benefits. However, most current ecosystem models omit mycorrhizal processes, limiting our ability to predict plant–soil carbon dynamics under environmental change. To address this gap, we used a mycorrhiza-explicit soil biogeochemical model, Myco-CORPSE (Mycorrhizal Carbon, Organisms, Rhizosphere, and Protection in the Soil Environment), to simulate tree carbon allocation to arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) fungi in temperate forests.The dataset includes outputs from two sets of model simulations:1. Perturbation experiments: Simulations across gradients of ECM dominance (0–100%), nitrogen deposition, soil temperature, and net primary productivity (NPP) to test how these factors affect mycorrhizal C allocation and nutrient cycling.2. FIA-based simulations: Model applications to over 1,800 U.S. forest sites using site-specific data from the U.S. Forest Inventory and Analysis (FIA) program, including vegetation composition, mycorrhizal type, climate, litter traits, soil properties, and N deposition.Model outputs include simulated mycorrhizal carbon allocation and related biogeochemical variables, such as soil and microbial carbon and nitrogen stocks. Data are provided in CSV format and organized by experiment type (in separate ZIP files). Python scripts for running simulations, plotting, and spatial mapping are also included and organized similarly.more »
- Publication Date:
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- Testing mechanisms of how mycorrhizal associations affect forest soil carbon and nitrogen cycling
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Carbon allocation; Mycorrhizal fungi; Process-based model; Temperate forest
- OSTI Identifier:
- 2998004
- DOI:
- https://doi.org/10.15485/2998004
Citation Formats
Shao, Siya, Shortt, Zachary, Sulman, Benjamin, and Hicks Pries, Caitlin. Myco-CORPSE simulations assessing mycorrhizal carbon allocation across U.S. forests and global change scenarios. United States: N. p., 2024.
Web. doi:10.15485/2998004.
Shao, Siya, Shortt, Zachary, Sulman, Benjamin, & Hicks Pries, Caitlin. Myco-CORPSE simulations assessing mycorrhizal carbon allocation across U.S. forests and global change scenarios. United States. doi:https://doi.org/10.15485/2998004
Shao, Siya, Shortt, Zachary, Sulman, Benjamin, and Hicks Pries, Caitlin. 2024.
"Myco-CORPSE simulations assessing mycorrhizal carbon allocation across U.S. forests and global change scenarios". United States. doi:https://doi.org/10.15485/2998004. https://www.osti.gov/servlets/purl/2998004. Pub date:Tue Dec 31 23:00:00 EST 2024
@article{osti_2998004,
title = {Myco-CORPSE simulations assessing mycorrhizal carbon allocation across U.S. forests and global change scenarios},
author = {Shao, Siya and Shortt, Zachary and Sulman, Benjamin and Hicks Pries, Caitlin},
abstractNote = {Plants allocate a substantial portion of their fixed carbon belowground to mycorrhizal fungi in exchange for nutrients and other benefits. However, most current ecosystem models omit mycorrhizal processes, limiting our ability to predict plant–soil carbon dynamics under environmental change. To address this gap, we used a mycorrhiza-explicit soil biogeochemical model, Myco-CORPSE (Mycorrhizal Carbon, Organisms, Rhizosphere, and Protection in the Soil Environment), to simulate tree carbon allocation to arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) fungi in temperate forests.The dataset includes outputs from two sets of model simulations:1. Perturbation experiments: Simulations across gradients of ECM dominance (0–100%), nitrogen deposition, soil temperature, and net primary productivity (NPP) to test how these factors affect mycorrhizal C allocation and nutrient cycling.2. FIA-based simulations: Model applications to over 1,800 U.S. forest sites using site-specific data from the U.S. Forest Inventory and Analysis (FIA) program, including vegetation composition, mycorrhizal type, climate, litter traits, soil properties, and N deposition.Model outputs include simulated mycorrhizal carbon allocation and related biogeochemical variables, such as soil and microbial carbon and nitrogen stocks. Data are provided in CSV format and organized by experiment type (in separate ZIP files). Python scripts for running simulations, plotting, and spatial mapping are also included and organized similarly. No proprietary software is required. These outputs support a peer-reviewed study and were used to generate figures and tables in the associated publication.},
doi = {10.15485/2998004},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 31 23:00:00 EST 2024},
month = {Tue Dec 31 23:00:00 EST 2024}
}