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Title: Modeling CO 2 emissions from Arctic lakes: Model development and site-level study: MODELING CO 2 EMISSIONS FROM ARCTIC LAKES

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 CO2 fluxes from the study Arctic lakes. The simulated area-weighted CO2 fluxes from yedoma thermokarst lakes, non-yedoma thermokarst lakes and glacial lakes are 29.5 g C m-2 yr-1, 13.0 g C m-2 yr-1 and 21.4 g C m-2 yr-1, respectively, close to the observed values (31.2 g C m-2 yr-1, 17.2 g C m-2 yr-1 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,more » sunlight-induced organic carbon degradation is more important for shallow non-yedoma thermokarst lakes but its overall contribution to the global carbon cycle could be limited. Overall, the ALBM model 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. Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette Indiana USA; Now at Pacific Northwest National Laboratory, Richland Washington USA
  2. Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette Indiana USA; Department of Agronomy, Purdue University, West Lafayette Indiana USA
  3. Department of Environmental and Biological Science, University of Eastern Finland, Kuopio Finland
  4. Department of Environmental Systems Science, ETH Zurich, Zurich Switzerland
  5. Water and Environmental Research Center, University of Alaska Fairbanks, Fairbanks Alaska USA
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1414543
Report Number(s):
PNNL-SA-129018
Journal ID: ISSN 1942-2466
DOE Contract Number:
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Journal of Advances in Modeling Earth Systems; Journal Volume: 9; Journal Issue: 5
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 54 ENVIRONMENTAL SCIENCES; Arctic; global carbon cycle; Arctic Lake Biogeochemistry Model; ALBM; lakes

Citation Formats

Tan, Zeli, Zhuang, Qianlai, Shurpali, Narasinha J., Marushchak, Maija E., Biasi, Christina, Eugster, Werner, and Walter Anthony, Katey. Modeling CO 2 emissions from Arctic lakes: Model development and site-level study: MODELING CO 2 EMISSIONS FROM ARCTIC LAKES. 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 CO 2 emissions from Arctic lakes: Model development and site-level study: MODELING CO 2 EMISSIONS FROM ARCTIC LAKES. United States. doi:10.1002/2017MS001028.
Tan, Zeli, Zhuang, Qianlai, Shurpali, Narasinha J., Marushchak, Maija E., Biasi, Christina, Eugster, Werner, and Walter Anthony, Katey. Fri . "Modeling CO 2 emissions from Arctic lakes: Model development and site-level study: MODELING CO 2 EMISSIONS FROM ARCTIC LAKES". United States. doi:10.1002/2017MS001028.
@article{osti_1414543,
title = {Modeling CO 2 emissions from Arctic lakes: Model development and site-level study: MODELING CO 2 EMISSIONS FROM ARCTIC LAKES},
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, non-yedoma thermokarst lakes and glacial lakes are 29.5 g C m-2 yr-1, 13.0 g C m-2 yr-1 and 21.4 g C m-2 yr-1, respectively, close to the observed values (31.2 g C m-2 yr-1, 17.2 g C m-2 yr-1 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 non-yedoma thermokarst lakes but its overall contribution to the global carbon cycle could be limited. Overall, the ALBM model 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 = {Fri Sep 01 00:00:00 EDT 2017},
month = {Fri Sep 01 00:00:00 EDT 2017}
}