Global evaluation of terrestrial biogeochemistry in the Energy Exascale Earth System Model (E3SM) and the role of the phosphorus cycle in the historical terrestrial carbon balance

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Abstract

The importance of carbon (C)-nutrient interactions to the prediction of future C uptake has long been recognized. The Energy Exascale Earth System Model (E3SM) land model (ELM) version 1 is one of the few land surface models that include both N and P cycling and limitation (ELMv1-CNP). Here we provide a global-scale evaluation of ELMv1-CNP using the International Land Model Benchmarking (ILAMB) system. We show that ELMv1-CNP produces realistic estimates of present-day carbon pools and fluxes. Compared to simulations with optimal P availability, simulations with ELMv1-CNP produce better performance, particularly for simulated biomass, leaf area index (LAI), and global net C balance. We also show ELMv1-CNP-simulated N and P cycling is in good agreement with data-driven estimates. We compared the ELMv1-CNP-simulated response to CO2 enrichment with meta-analysis of observations from similar manipulation experiments. We show that ELMv1-CNP is able to capture the field-observed responses for photosynthesis, growth, and LAI. We investigated the role of P limitation in the historical balance and show that global C sources and sinks are significantly affected by P limitation, as the historical CO2 fertilization effect was reduced by 20% and C emission due to land use and land cover change was 11% lower when P limitation was considered. Our simulations suggest that the introduction of P cycle dynamics and C-N-P coupling will likely have substantial consequences for projections of future C uptake.

Original languageEnglish
Pages (from-to)2813-2836
Number of pages24
JournalBiogeosciences
Volume20
Issue number14
DOIs
StatePublished - Jul 17 2023

Funding

This research has been supported by the Office of Biological and Environmental Research (grant no. 3ERKP848). This research was supported as part of the Energy Exascale Earth System Model (E3SM) project, funded by the Office of Biological and Environmental Research, Office of Science, U.S. Department of Energy. This research was also supported by the Oak Ridge National Laboratory's (ORNL) Terrestrial Ecosystem Science Focus Area (TES SFA). Xiaojuan Yang was also supported as part of the Next Generation Ecosystem Experiments–Tropics project. Forrest Hoffman was supported by the Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation Scientific Focus Area (RUBISCO SFA), which is sponsored by the Regional and Global Model Analysis (RGMA) Program in the Climate and Environmental Sciences Division (CESD) of the Office of Biological and Environmental Research (BER) in the U.S. Department of Energy Office of Science. We thank Min Xu for his help in running ILAMB.

FundersFunder number
U.S. Department of Energy
Office of Science
Biological and Environmental Research3ERKP848
Oak Ridge National Laboratory

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