Modeling Perennial Bioenergy Crops in the E3SM Land Model (ELMv2)

Eva Sinha, Katherine V. Calvin, Ben Bond-Lamberty, Beth A. Drewniak, Daniel M. Ricciuto, Khachik Sargsyan, Yanyan Cheng, Carl Bernacchi, Caitlin E. Moore

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Perennial bioenergy crops are increasingly important for the production of ethanol and other renewable fuels, and as part of an agricultural system that alters the climate through its impact on biogeophysical and biogeochemical properties of the terrestrial ecosystem. Few Earth System Models (ESMs) represent such crops, however. In this study, we expand the Energy Exascale Earth System Land Model to include perennial bioenergy crops with a high potential for mitigating climate change. We focus on high-productivity miscanthus and switchgrass, estimating various parameters associated with their different growth stages and performing a global sensitivity analysis to identify and optimize these parameters. The sensitivity analysis identifies five parameters associated with phenology, carbon/nitrogen allocation, stomatal conductance, and maintenance respiration as the most sensitive parameters for carbon and energy fluxes. We calibrated and validated the model against observations and found that the model closely captures the observed seasonality and the magnitude of carbon fluxes. The validated model represents the latent heat flux fairly well, but sensible heat flux for miscanthus is not well captured. Finally, we validated the model against observed leaf area index (LAI) and harvest amount and found modeled LAI captured observed seasonality, although the model underestimates LAI and harvest amount. This work provides a foundation for future ESM analyses of the interactions between perennial bioenergy crops and carbon, water, and energy dynamics in the larger Earth system, and sets the stage for studying the impact of future biofuel expansion on climate and terrestrial systems.

Original languageEnglish
Article numbere2022MS003171
JournalJournal of Advances in Modeling Earth Systems
Volume15
Issue number1
DOIs
StatePublished - Jan 2023

Funding

This research was supported as part of the Energy Exascale Earth System Model (E3SM) project, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. The Pacific Northwest National Laboratory is operated by Battelle for the US Department of Energy under Contract DE‐AC05‐76RLO1830. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE‐NA0003525. Dr. Katherine Calvin is currently detailed to the National Aeronautics and Space Administration. Dr. Calvin's contributions to this article occurred prior to her detail. The views expressed are her own and do not necessarily represent the views of the National Aeronautics and Space Administration or the United States Government. We also thank anonymous reviewers for their thoughtful comments that helped to significantly improve the manuscript. This research was supported as part of the Energy Exascale Earth System Model (E3SM) project, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. The Pacific Northwest National Laboratory is operated by Battelle for the US Department of Energy under Contract DE-AC05-76RLO1830. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525. Dr. Katherine Calvin is currently detailed to the National Aeronautics and Space Administration. Dr. Calvin's contributions to this article occurred prior to her detail. The views expressed are her own and do not necessarily represent the views of the National Aeronautics and Space Administration or the United States Government. We also thank anonymous reviewers for their thoughtful comments that helped to significantly improve the manuscript.

FundersFunder number
U.S. Department of EnergyDE‐AC05‐76RLO1830
National Aeronautics and Space Administration
Office of Science
National Nuclear Security AdministrationDE‐NA0003525
Biological and Environmental Research

    Keywords

    • ELM
    • crop modeling
    • perennial crops

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