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Title: Leveraging the signature of heterotrophic respiration on atmospheric CO 2 for model benchmarking

Abstract

Spatial and temporal variations in atmospheric carbon dioxide (CO 2) reflect large-scale net carbon exchange between the atmosphere and terrestrial ecosystems. Soil heterotrophic respiration (HR) is one of the component fluxes that drive this net exchange, but, given observational limitations, it is difficult to quantify this flux or to evaluate global-scale model simulations thereof. Here, we show that atmospheric CO 2 can provide a useful constraint on large-scale patterns of soil heterotrophic respiration. We analyze three soil model configurations (CASA-CNP, MIMICS, and CORPSE) that simulate HR fluxes within a biogeochemical test bed that provides each model with identical net primary productivity (NPP) and climate forcings. We subsequently quantify the effects of variation in simulated terrestrial carbon fluxes (NPP and HR from the three soil test-bed models) on atmospheric CO 2 distributions using a three-dimensional atmospheric tracer transport model. Our results show that atmospheric CO 2 observations can be used to identify deficiencies in model simulations of the seasonal cycle and interannual variability in HR relative to NPP. In particular, the two models that explicitly simulated microbial processes (MIMICS and CORPSE) were more variable than observations at interannual timescales and showed a stronger-than-observed temperature sensitivity. Our results prompt future research directionsmore » to use atmospheric CO 2, in combination with additional constraints on terrestrial productivity or soil carbon stocks, for evaluating HR fluxes.« less

Authors:
ORCiD logo; ORCiD logo; ORCiD logo; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); National Aeronautics and Space Administration (NASA)
OSTI Identifier:
1604475
Grant/Contract Number:  
[SC0014374; SC0016364; NNX17AK19G]
Resource Type:
Published Article
Journal Name:
Biogeosciences (Online)
Additional Journal Information:
[Journal Name: Biogeosciences (Online) Journal Volume: 17 Journal Issue: 5]; Journal ID: ISSN 1726-4189
Publisher:
European Geosciences Union
Country of Publication:
Germany
Language:
English

Citation Formats

Basile, Samantha J., Lin, Xin, Wieder, William R., Hartman, Melannie D., and Keppel-Aleks, Gretchen. Leveraging the signature of heterotrophic respiration on atmospheric CO2 for model benchmarking. Germany: N. p., 2020. Web. doi:10.5194/bg-17-1293-2020.
Basile, Samantha J., Lin, Xin, Wieder, William R., Hartman, Melannie D., & Keppel-Aleks, Gretchen. Leveraging the signature of heterotrophic respiration on atmospheric CO2 for model benchmarking. Germany. doi:10.5194/bg-17-1293-2020.
Basile, Samantha J., Lin, Xin, Wieder, William R., Hartman, Melannie D., and Keppel-Aleks, Gretchen. Fri . "Leveraging the signature of heterotrophic respiration on atmospheric CO2 for model benchmarking". Germany. doi:10.5194/bg-17-1293-2020.
@article{osti_1604475,
title = {Leveraging the signature of heterotrophic respiration on atmospheric CO2 for model benchmarking},
author = {Basile, Samantha J. and Lin, Xin and Wieder, William R. and Hartman, Melannie D. and Keppel-Aleks, Gretchen},
abstractNote = {Spatial and temporal variations in atmospheric carbon dioxide (CO2) reflect large-scale net carbon exchange between the atmosphere and terrestrial ecosystems. Soil heterotrophic respiration (HR) is one of the component fluxes that drive this net exchange, but, given observational limitations, it is difficult to quantify this flux or to evaluate global-scale model simulations thereof. Here, we show that atmospheric CO2 can provide a useful constraint on large-scale patterns of soil heterotrophic respiration. We analyze three soil model configurations (CASA-CNP, MIMICS, and CORPSE) that simulate HR fluxes within a biogeochemical test bed that provides each model with identical net primary productivity (NPP) and climate forcings. We subsequently quantify the effects of variation in simulated terrestrial carbon fluxes (NPP and HR from the three soil test-bed models) on atmospheric CO2 distributions using a three-dimensional atmospheric tracer transport model. Our results show that atmospheric CO2 observations can be used to identify deficiencies in model simulations of the seasonal cycle and interannual variability in HR relative to NPP. In particular, the two models that explicitly simulated microbial processes (MIMICS and CORPSE) were more variable than observations at interannual timescales and showed a stronger-than-observed temperature sensitivity. Our results prompt future research directions to use atmospheric CO2, in combination with additional constraints on terrestrial productivity or soil carbon stocks, for evaluating HR fluxes.},
doi = {10.5194/bg-17-1293-2020},
journal = {Biogeosciences (Online)},
number = [5],
volume = [17],
place = {Germany},
year = {2020},
month = {3}
}

Journal Article:
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DOI: 10.5194/bg-17-1293-2020

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