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Title: Modeling CO 2 emissions from Arctic lakes: Model development and site-level study

Abstract

Recent studies indicated that Arctic lakes play an important role in receiving, processing, and storing organic carbon exported from terrestrial ecosystems. To quantify the contribution of Arctic lakes to the global carbon cycle, we developed a one-dimensional process-based Arctic Lake Biogeochemistry Model (ALBM) that explicitly simulates the dynamics of organic and inorganic carbon in Arctic lakes. By realistically modeling water mixing, carbon biogeochemistry, and permafrost carbon loading, the model can reproduce the seasonal variability of CO 2 fluxes from the study Arctic lakes. The simulated area-weighted CO 2 fluxes from yedoma thermokarst lakes, nonyedoma thermokarst lakes, and glacial lakes are 29.5, 13.0, and 21.4 g C m -2 yr -1, respectively, close to the observed values (31.2, 17.2, and 16.5 ± 7.7 g C m -2 yr -1, respectively). The simulations show that the high CO 2 fluxes from yedoma thermokarst lakes are stimulated by the biomineralization of mobilized labile organic carbon from thawing yedoma permafrost. The simulations also imply that the relative contribution of glacial lakes to the global carbon cycle could be the largest because of their much larger surface area and high biomineralization and carbon loading. According to the model, sunlight-induced organic carbon degradation is more importantmore » for shallow nonyedoma thermokarst lakes but its overall contribution to the global carbon cycle could be limited. Overall, the ALBM can simulate the whole-lake carbon balance of Arctic lakes, a difficult task for field and laboratory experiments and other biogeochemistry models.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [3]; ORCiD logo [3]; ORCiD logo [4];  [5]
  1. Purdue Univ., West Lafayette, IN (United States). Department of Earth, Atmospheric, and Planetary Sciences; Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Purdue Univ., West Lafayette, IN (United States). Department of Earth, Atmospheric, and Planetary Sciences and Department of Agronomy
  3. University of Eastern Finland, Kuopio (Finland). Department of Environmental and Biological Science
  4. ETH Zurich, Zurich (Switzerland). Department of Environmental Systems Science
  5. University of Alaska Fairbanks, Fairbanks, AK (United States). Water and Environmental Research Center
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1390343
Alternate Identifier(s):
OSTI ID: 1390344; OSTI ID: 1413514
Report Number(s):
PNNL-SA-129018
Journal ID: ISSN 1942-2466; TRN: US1800444
Grant/Contract Number:  
AC05-076RL01830; FG02-08ER64599; AC02-05CH11231
Resource Type:
Journal Article: Published Article
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Volume: 9; Journal Issue: 5; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 54 ENVIRONMENTAL SCIENCES

Citation Formats

Tan, Zeli, Zhuang, Qianlai, Shurpali, Narasinha J., Marushchak, Maija E., Biasi, Christina, Eugster, Werner, and Walter Anthony, Katey. Modeling CO2 emissions from Arctic lakes: Model development and site-level study. United States: N. p., 2017. Web. doi:10.1002/2017MS001028.
Tan, Zeli, Zhuang, Qianlai, Shurpali, Narasinha J., Marushchak, Maija E., Biasi, Christina, Eugster, Werner, & Walter Anthony, Katey. Modeling CO2 emissions from Arctic lakes: Model development and site-level study. United States. doi:10.1002/2017MS001028.
Tan, Zeli, Zhuang, Qianlai, Shurpali, Narasinha J., Marushchak, Maija E., Biasi, Christina, Eugster, Werner, and Walter Anthony, Katey. Thu . "Modeling CO2 emissions from Arctic lakes: Model development and site-level study". United States. doi:10.1002/2017MS001028.
@article{osti_1390343,
title = {Modeling CO2 emissions from Arctic lakes: Model development and site-level study},
author = {Tan, Zeli and Zhuang, Qianlai and Shurpali, Narasinha J. and Marushchak, Maija E. and Biasi, Christina and Eugster, Werner and Walter Anthony, Katey},
abstractNote = {Recent studies indicated that Arctic lakes play an important role in receiving, processing, and storing organic carbon exported from terrestrial ecosystems. To quantify the contribution of Arctic lakes to the global carbon cycle, we developed a one-dimensional process-based Arctic Lake Biogeochemistry Model (ALBM) that explicitly simulates the dynamics of organic and inorganic carbon in Arctic lakes. By realistically modeling water mixing, carbon biogeochemistry, and permafrost carbon loading, the model can reproduce the seasonal variability of CO2 fluxes from the study Arctic lakes. The simulated area-weighted CO2 fluxes from yedoma thermokarst lakes, nonyedoma thermokarst lakes, and glacial lakes are 29.5, 13.0, and 21.4 g C m-2 yr-1, respectively, close to the observed values (31.2, 17.2, and 16.5 ± 7.7 g C m-2 yr-1, respectively). The simulations show that the high CO2 fluxes from yedoma thermokarst lakes are stimulated by the biomineralization of mobilized labile organic carbon from thawing yedoma permafrost. The simulations also imply that the relative contribution of glacial lakes to the global carbon cycle could be the largest because of their much larger surface area and high biomineralization and carbon loading. According to the model, sunlight-induced organic carbon degradation is more important for shallow nonyedoma thermokarst lakes but its overall contribution to the global carbon cycle could be limited. Overall, the ALBM can simulate the whole-lake carbon balance of Arctic lakes, a difficult task for field and laboratory experiments and other biogeochemistry models.},
doi = {10.1002/2017MS001028},
journal = {Journal of Advances in Modeling Earth Systems},
number = 5,
volume = 9,
place = {United States},
year = {Thu Sep 14 00:00:00 EDT 2017},
month = {Thu Sep 14 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1002/2017MS001028

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Cited by: 2 works
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