TY - JOUR
T1 - Parameterizing Perennial Bioenergy Crops in Version 5 of the Community Land Model Based on Site-Level Observations in the Central Midwestern United States
AU - Cheng, Yanyan
AU - Huang, Maoyi
AU - Chen, Min
AU - Guan, Kaiyu
AU - Bernacchi, Carl
AU - Peng, Bin
AU - Tan, Zeli
N1 - Funding Information:
This research was supported by the U.S. Department of Energy, Office of Science, as part of research in Multi-Sector Dynamics, Earth and Environmental System Modeling Program. PNNL is operated by Battelle Memorial Institute for the U.S. DOE under contract DE-AC05-76RLO1830. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. The CLM5 version used in this study can be downloaded from https://github.com/ESCOMP/ctsm. Site information and data at UIEF can be found at Zeri et al. (,) and Joo et al. (,; Note that the site is in the process of joining the AmerFlux network. Data will be made available through Ameriflux soon). A README guide to run the model and formatted datasets used to drive model in this study is available from the open-source repository https://github.com/IMMM-SFA/CLM5_bioenergy.
Funding Information:
This research was supported by the U.S. Department of Energy, Office of Science, as part of research in Multi‐Sector Dynamics, Earth and Environmental System Modeling Program. PNNL is operated by Battelle Memorial Institute for the U.S. DOE under contract DE‐AC05‐76RLO1830. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE‐AC02‐05CH11231. The CLM5 version used in this study can be downloaded from https://github.com/ESCOMP/ctsm . Site information and data at UIEF can be found at Zeri et al. ( , ) and Joo et al. ( , ; Note that the site is in the process of joining the AmerFlux network. Data will be made available through Ameriflux soon). A README guide to run the model and formatted datasets used to drive model in this study is available from the open‐source repository https://github.com/IMMM‐SFA/CLM5_bioenergy .
Publisher Copyright:
© 2019. The Authors.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - With projected expansion of biofuel production at a global scale, there is a pressing need to develop adequate representation of bioenergy crops in land surface models to help effectively quantify the biogeophysical and biogeochemical effects of its associated land use changes. This study implements two new perennial bioenergy crops, Miscanthus and switchgrass, into the Community Land Model Version 5 based on site-level observations from the midwestern United States by modifying parameters associated with photosynthesis, phenology, allocation, decomposition, and carbon cost of nitrogen uptake and integrating concomitantly land management practices. Sensitivity analyses indicate that carbon and energy fluxes of the perennial crops are most sensitive to photosynthesis and phenology parameters. Validation of simulated fluxes against site-level measurements demonstrates that the model is capable of capturing the overall patterns of energy and carbon fluxes, as well as physiological transitions from leaf emergence to senescence. Compared to annual crops, perennial crops feature longer growing season, greater leaf areas, and higher productivity, leading to increased transpiration, lower annual runoff, and larger carbon uptake. The model simulations suggest that with higher CO2 assimilation rates and lower demands for nutrients and water, high-yielding perennial crops are promising alternatives of bioenergy feedstocks compared to traditional annual crops not only for mitigating climate change but also for environmental conservation purposes by reducing fertilizer application and therefore alleviating surface- and ground-water contaminations. Although the local-scale simulations shed light on potential benefits of using perennial grasses as bioenergy feedstocks, quantifying consequences of their plantations at larger scales warrants additional investigation.
AB - With projected expansion of biofuel production at a global scale, there is a pressing need to develop adequate representation of bioenergy crops in land surface models to help effectively quantify the biogeophysical and biogeochemical effects of its associated land use changes. This study implements two new perennial bioenergy crops, Miscanthus and switchgrass, into the Community Land Model Version 5 based on site-level observations from the midwestern United States by modifying parameters associated with photosynthesis, phenology, allocation, decomposition, and carbon cost of nitrogen uptake and integrating concomitantly land management practices. Sensitivity analyses indicate that carbon and energy fluxes of the perennial crops are most sensitive to photosynthesis and phenology parameters. Validation of simulated fluxes against site-level measurements demonstrates that the model is capable of capturing the overall patterns of energy and carbon fluxes, as well as physiological transitions from leaf emergence to senescence. Compared to annual crops, perennial crops feature longer growing season, greater leaf areas, and higher productivity, leading to increased transpiration, lower annual runoff, and larger carbon uptake. The model simulations suggest that with higher CO2 assimilation rates and lower demands for nutrients and water, high-yielding perennial crops are promising alternatives of bioenergy feedstocks compared to traditional annual crops not only for mitigating climate change but also for environmental conservation purposes by reducing fertilizer application and therefore alleviating surface- and ground-water contaminations. Although the local-scale simulations shed light on potential benefits of using perennial grasses as bioenergy feedstocks, quantifying consequences of their plantations at larger scales warrants additional investigation.
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U2 - 10.1029/2019MS001719
DO - 10.1029/2019MS001719
M3 - Article
AN - SCOPUS:85078852022
SN - 1942-2466
VL - 12
JO - Journal of Advances in Modeling Earth Systems
JF - Journal of Advances in Modeling Earth Systems
IS - 1
M1 - e2019MS001719
ER -