Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM-Microbe Model
Abstract
Spatial heterogeneities in soil hydrology have been confirmed as a key control on CO2 and CH4 fluxes in the Arctic tundra ecosystem. In this study, we applied a mechanistic ecosystem model, CLM-Microbe, to examine the microtopographic impacts on CO2 and CH4 fluxes across seven landscape types in Utqiaġvik, Alaska: trough, low-centered polygon (LCP) center, LCP transition, LCP rim, high-centered polygon (HCP) center, HCP transition, and HCP rim. We first validated the CLM-Microbe model against static-chamber measured CO2 and CH4 fluxes in 2013 for three landscape types: trough, LCP center, and LCP rim. Model application showed that low-elevation and thus wetter landscape types (i.e., trough, transitions, and LCP center) had larger CH4 emissions rates with greater seasonal variations than high-elevation and drier landscape types (rims and HCP center). Sensitivity analysis indicated that substrate availability for methanogenesis (acetate, CO2 + H2) is the most important factor determining CH4 emission, and vegetation physiological properties largely affect the net ecosystem carbon exchange and ecosystem respiration in Arctic tundra ecosystems. Modeled CH4 emissions for different microtopographic features were upscaled to the eddy covariance (EC) domain with an area-weighted approach before validation against EC-measured CH4 fluxes. The model underestimated the EC-measured CH4 flux by 20% and 25% atmore »
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- Department of BiologySan Diego State University San Diego CA USA
- Environmental Sciences DivisionOak Ridge National Laboratory Oak Ridge TN USA
- Department of BiologySan Diego State University San Diego CA USA, Institute of Applied EcologyChinese Academy of Sciences Shenyang City China
- Civil and Environmental EngineeringUniversity of California, Berkeley Berkeley CA USA
- Earth Sciences DivisionLawrence Berkeley National Laboratory Berkeley CA USA
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); National Science Foundation (NSF)
- OSTI Identifier:
- 1579403
- Alternate Identifier(s):
- OSTI ID: 1579405; OSTI ID: 1582360; OSTI ID: 1615822
- Grant/Contract Number:
- AC05-00OR22725; AC02-05CH11231; 1702797
- Resource Type:
- Published Article
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 11 Journal Issue: 12; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Arctic tundra; CH4 flux; microtopographic; sensitivity analysis; net carbon exchange
Citation Formats
Wang, Yihui, Yuan, Fengming, Yuan, Fenghui, Gu, Baohua, Hahn, Melanie S., Torn, Margaret S., Ricciuto, Daniel M., Kumar, Jitendra, He, Liyuan, Zona, Donatella, Lipson, David A., Wagner, Robert, Oechel, Walter C., Wullschleger, Stan D., Thornton, Peter E., and Xu, Xiaofeng. Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM-Microbe Model. United States: N. p., 2019.
Web. doi:10.1029/2019MS001771.
Wang, Yihui, Yuan, Fengming, Yuan, Fenghui, Gu, Baohua, Hahn, Melanie S., Torn, Margaret S., Ricciuto, Daniel M., Kumar, Jitendra, He, Liyuan, Zona, Donatella, Lipson, David A., Wagner, Robert, Oechel, Walter C., Wullschleger, Stan D., Thornton, Peter E., & Xu, Xiaofeng. Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM-Microbe Model. United States. https://doi.org/10.1029/2019MS001771
Wang, Yihui, Yuan, Fengming, Yuan, Fenghui, Gu, Baohua, Hahn, Melanie S., Torn, Margaret S., Ricciuto, Daniel M., Kumar, Jitendra, He, Liyuan, Zona, Donatella, Lipson, David A., Wagner, Robert, Oechel, Walter C., Wullschleger, Stan D., Thornton, Peter E., and Xu, Xiaofeng. Thu .
"Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM-Microbe Model". United States. https://doi.org/10.1029/2019MS001771.
@article{osti_1579403,
title = {Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM-Microbe Model},
author = {Wang, Yihui and Yuan, Fengming and Yuan, Fenghui and Gu, Baohua and Hahn, Melanie S. and Torn, Margaret S. and Ricciuto, Daniel M. and Kumar, Jitendra and He, Liyuan and Zona, Donatella and Lipson, David A. and Wagner, Robert and Oechel, Walter C. and Wullschleger, Stan D. and Thornton, Peter E. and Xu, Xiaofeng},
abstractNote = {Spatial heterogeneities in soil hydrology have been confirmed as a key control on CO2 and CH4 fluxes in the Arctic tundra ecosystem. In this study, we applied a mechanistic ecosystem model, CLM-Microbe, to examine the microtopographic impacts on CO2 and CH4 fluxes across seven landscape types in Utqiaġvik, Alaska: trough, low-centered polygon (LCP) center, LCP transition, LCP rim, high-centered polygon (HCP) center, HCP transition, and HCP rim. We first validated the CLM-Microbe model against static-chamber measured CO2 and CH4 fluxes in 2013 for three landscape types: trough, LCP center, and LCP rim. Model application showed that low-elevation and thus wetter landscape types (i.e., trough, transitions, and LCP center) had larger CH4 emissions rates with greater seasonal variations than high-elevation and drier landscape types (rims and HCP center). Sensitivity analysis indicated that substrate availability for methanogenesis (acetate, CO2 + H2) is the most important factor determining CH4 emission, and vegetation physiological properties largely affect the net ecosystem carbon exchange and ecosystem respiration in Arctic tundra ecosystems. Modeled CH4 emissions for different microtopographic features were upscaled to the eddy covariance (EC) domain with an area-weighted approach before validation against EC-measured CH4 fluxes. The model underestimated the EC-measured CH4 flux by 20% and 25% at daily and hourly time steps, suggesting the importance of the time step in reporting CH4 flux. The strong microtopographic impacts on CO2 and CH4 fluxes call for a model-data integration framework for better understanding and predicting carbon flux in the highly heterogeneous Arctic landscape.},
doi = {10.1029/2019MS001771},
journal = {Journal of Advances in Modeling Earth Systems},
number = 12,
volume = 11,
place = {United States},
year = {Thu Dec 12 00:00:00 EST 2019},
month = {Thu Dec 12 00:00:00 EST 2019}
}
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