Journal
ECOLOGY LETTERS
Volume 20, Issue 8, Pages 1043-1053Publisher
WILEY
DOI: 10.1111/ele.12802
Keywords
Biogeochemical model; biogeochemistry; carbon cycling; forest productivity; mycorrhizae; N-cycle feedbacks; plant-soil interactions; soil carbon
Categories
Funding
- U.S. Department of Energy Office of Biological and Environmental Research, Terrestrial Ecosystem Science Program [DE-SC0016188]
- US National Science Foundation Ecosystem Studies Program [1153401]
- National Oceanic and Atmospheric Administration, U.S. Department of Commerce [NA14OAR4320106]
- NOAA Climate Program Office's Atmospheric Chemistry, Carbon Cycle, and Climate program [NA15OAR4310065]
- U.S. Department of Energy (DOE) [DE-SC0016188] Funding Source: U.S. Department of Energy (DOE)
- Division Of Environmental Biology
- Direct For Biological Sciences [1153401] Funding Source: National Science Foundation
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Ecosystem carbon (C) balance is hypothesised to be sensitive to the mycorrhizal strategies that plants use to acquire nutrients. To test this idea, we coupled an optimality-based plant nitrogen (N) acquisition model with a microbe-focused soil organic matter (SOM) model. The model accurately predicted rhizosphere processes and C-N dynamics across a gradient of stands varying in their relative abundance of arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) trees. When mycorrhizal dominance was switched - ECM trees dominating plots previously occupied by AM trees, and vice versa - legacy effects were apparent, with consequences for both C and N stocks in soil. Under elevated productivity, ECM trees enhanced decomposition more than AM trees via microbial priming of unprotected SOM. Collectively, our results show that ecosystem responses to global change may hinge on the balance between rhizosphere priming and SOM protection, and highlight the importance of dynamically linking plants and microbes in terrestrial biosphere models.
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