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Title: Quantifying peat carbon accumulation in Alaska using a process-based biogeochemistry model

Abstract

This study uses an integrated modeling framework that couples the dynamics of hydrology, soil thermal regime, and ecosystem carbon and nitrogen to quantify the long-term peat carbon accumulation in Alaska during the Holocene. Modeled hydrology, soil thermal regime, carbon pools and fluxes, and methane emissions are evaluated using observation data at several peatland sites in Minnesota, Alaska, and Canada. The model is then applied for a 10,000 year (15 ka to 5 ka; 1 ka = 1000 cal years before present) simulation at four peatland sites. We find that model simulations match the observed carbon accumulation rates at fen sites during the Holocene (R 2 = 0.88, 0.87, 0.38, and -0.05 using comparisons in 500 year bins). The simulated (2.04 m) and observed peat depths (on average 1.98 m) were also compared well (R2 = 0.91). The early Holocene carbon accumulation rates, especially during the Holocene thermal maximum (HTM) (35.9 g C m -2 yr -1), are estimated up to 6 times higher than the rest of the Holocene (6.5 g C m -2 yr -1). Our analysis suggests that high summer temperature and the lengthened growing season resulted from the elevated insolation seasonality, along with wetter-than-before conditions might bemore » major factors causing the rapid carbon accumulation in Alaska during the HTM. Here, our sensitivity tests indicate that, apart from climate, initial water table depth and vegetation canopy are major drivers to the estimated peat carbon accumulation. Finally, when the modeling framework is evaluated for various peatland types in the Arctic, it can quantify peatland carbon accumulation at regional scales.« less

Authors:
 [1];  [2];  [3];  [4];  [5]
  1. Purdue Univ., West Lafayette, IN (United States). Dept. of Earth, Atmospheric, and Planetary Sciences
  2. Purdue Univ., West Lafayette, IN (United States). Dept. of Earth, Atmospheric, and Planetary Sciences, and Dept. of Agronomy
  3. Lehigh Univ., Bethlehem, PA (United States). Dept. of Earth and Environmental Sciences
  4. Univ. of Oregon, Eugene, OR (United States). Inst. of Ecology and Evolution
  5. Chapman Univ., Orange, CA (United States). Schmid College of Science and Technology
Publication Date:
Research Org.:
Univ. of Oregon, Eugene, OR (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Science Foundation (NSF)
OSTI Identifier:
1469351
Alternate Identifier(s):
OSTI ID: 1402324
Grant/Contract Number:  
SC0008092; IIS‐1027955
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Geophysical Research. Biogeosciences
Additional Journal Information:
Journal Volume: 121; Journal Issue: 8; Journal ID: ISSN 2169-8953
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats

Wang, Sirui, Zhuang, Qianlai, Yu, Zicheng, Bridgham, Scott, and Keller, Jason K. Quantifying peat carbon accumulation in Alaska using a process-based biogeochemistry model. United States: N. p., 2016. Web. doi:10.1002/2016JG003452.
Wang, Sirui, Zhuang, Qianlai, Yu, Zicheng, Bridgham, Scott, & Keller, Jason K. Quantifying peat carbon accumulation in Alaska using a process-based biogeochemistry model. United States. doi:10.1002/2016JG003452.
Wang, Sirui, Zhuang, Qianlai, Yu, Zicheng, Bridgham, Scott, and Keller, Jason K. Thu . "Quantifying peat carbon accumulation in Alaska using a process-based biogeochemistry model". United States. doi:10.1002/2016JG003452. https://www.osti.gov/servlets/purl/1469351.
@article{osti_1469351,
title = {Quantifying peat carbon accumulation in Alaska using a process-based biogeochemistry model},
author = {Wang, Sirui and Zhuang, Qianlai and Yu, Zicheng and Bridgham, Scott and Keller, Jason K.},
abstractNote = {This study uses an integrated modeling framework that couples the dynamics of hydrology, soil thermal regime, and ecosystem carbon and nitrogen to quantify the long-term peat carbon accumulation in Alaska during the Holocene. Modeled hydrology, soil thermal regime, carbon pools and fluxes, and methane emissions are evaluated using observation data at several peatland sites in Minnesota, Alaska, and Canada. The model is then applied for a 10,000 year (15 ka to 5 ka; 1 ka = 1000 cal years before present) simulation at four peatland sites. We find that model simulations match the observed carbon accumulation rates at fen sites during the Holocene (R2 = 0.88, 0.87, 0.38, and -0.05 using comparisons in 500 year bins). The simulated (2.04 m) and observed peat depths (on average 1.98 m) were also compared well (R2 = 0.91). The early Holocene carbon accumulation rates, especially during the Holocene thermal maximum (HTM) (35.9 g C m-2 yr-1), are estimated up to 6 times higher than the rest of the Holocene (6.5 g C m-2 yr-1). Our analysis suggests that high summer temperature and the lengthened growing season resulted from the elevated insolation seasonality, along with wetter-than-before conditions might be major factors causing the rapid carbon accumulation in Alaska during the HTM. Here, our sensitivity tests indicate that, apart from climate, initial water table depth and vegetation canopy are major drivers to the estimated peat carbon accumulation. Finally, when the modeling framework is evaluated for various peatland types in the Arctic, it can quantify peatland carbon accumulation at regional scales.},
doi = {10.1002/2016JG003452},
journal = {Journal of Geophysical Research. Biogeosciences},
number = 8,
volume = 121,
place = {United States},
year = {Thu Aug 04 00:00:00 EDT 2016},
month = {Thu Aug 04 00:00:00 EDT 2016}
}

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