Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model
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 Utq...
Published in: | Journal of Advances in Modeling Earth Systems |
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eScholarship, University of California
2019
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Online Access: | https://escholarship.org/uc/item/5qv3j803 https://escholarship.org/content/qt5qv3j803/qt5qv3j803.pdf https://doi.org/10.1029/2019ms001771 |
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ftcdlib:oai:escholarship.org:ark:/13030/qt5qv3j803 2024-09-15T18:39:39+00:00 Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model 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 4288 - 4304 2019-12-01 application/pdf https://escholarship.org/uc/item/5qv3j803 https://escholarship.org/content/qt5qv3j803/qt5qv3j803.pdf https://doi.org/10.1029/2019ms001771 unknown eScholarship, University of California qt5qv3j803 https://escholarship.org/uc/item/5qv3j803 https://escholarship.org/content/qt5qv3j803/qt5qv3j803.pdf doi:10.1029/2019ms001771 public Journal of Advances in Modeling Earth Systems, vol 11, iss 12 Climate Action Arctic tundra CH4 flux microtopographic sensitivity analysis net carbon exchange Atmospheric Sciences article 2019 ftcdlib https://doi.org/10.1029/2019ms001771 2024-06-28T06:28:19Z 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. Article in Journal/Newspaper Tundra Alaska University of California: eScholarship Journal of Advances in Modeling Earth Systems 11 12 4288 4304 |
institution |
Open Polar |
collection |
University of California: eScholarship |
op_collection_id |
ftcdlib |
language |
unknown |
topic |
Climate Action Arctic tundra CH4 flux microtopographic sensitivity analysis net carbon exchange Atmospheric Sciences |
spellingShingle |
Climate Action Arctic tundra CH4 flux microtopographic sensitivity analysis net carbon exchange Atmospheric Sciences 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 |
topic_facet |
Climate Action Arctic tundra CH4 flux microtopographic sensitivity analysis net carbon exchange Atmospheric Sciences |
description |
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. |
format |
Article in Journal/Newspaper |
author |
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 |
author_facet |
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 |
author_sort |
Wang, Yihui |
title |
Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model |
title_short |
Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model |
title_full |
Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model |
title_fullStr |
Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model |
title_full_unstemmed |
Mechanistic Modeling of Microtopographic Impacts on CO2 and CH4 Fluxes in an Alaskan Tundra Ecosystem Using the CLM‐Microbe Model |
title_sort |
mechanistic modeling of microtopographic impacts on co2 and ch4 fluxes in an alaskan tundra ecosystem using the clm‐microbe model |
publisher |
eScholarship, University of California |
publishDate |
2019 |
url |
https://escholarship.org/uc/item/5qv3j803 https://escholarship.org/content/qt5qv3j803/qt5qv3j803.pdf https://doi.org/10.1029/2019ms001771 |
op_coverage |
4288 - 4304 |
genre |
Tundra Alaska |
genre_facet |
Tundra Alaska |
op_source |
Journal of Advances in Modeling Earth Systems, vol 11, iss 12 |
op_relation |
qt5qv3j803 https://escholarship.org/uc/item/5qv3j803 https://escholarship.org/content/qt5qv3j803/qt5qv3j803.pdf doi:10.1029/2019ms001771 |
op_rights |
public |
op_doi |
https://doi.org/10.1029/2019ms001771 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
11 |
container_issue |
12 |
container_start_page |
4288 |
op_container_end_page |
4304 |
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1810484004703436800 |