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Constraint of soil moisture on CO2 efflux from tundra lichen, moss, and tussock in Council, Alaska, using a hierarchical Bayesian model

Cited 6 time in scopus
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Title
Constraint of soil moisture on CO2 efflux from tundra lichen, moss, and tussock in Council, Alaska, using a hierarchical Bayesian model
Other Titles
알래스카 카운실 툰트라지역에서의 이산화탄소 플럭스에 미치는 토양수분 영향: 베이시안 모델 기법 이용
Authors
Yongwon Kim
Lee, Bang Yong
Yoon, Young Jun
Park, Sangjong
Chae, Nam Yi
K. Nishna
Subject
Environmental Sciences & Ecology; Geology
Keywords
Alaska; Bayesian model; CO2 efflux; Tundra; soil moisture
Issue Date
2014
Citation
Yongwon Kim, et al. 2014. "Constraint of soil moisture on CO2 efflux from tundra lichen, moss, and tussock in Council, Alaska, using a hierarchical Bayesian model". BIOGEOSCIENCES, 11(1): 5567-5579.
Abstract
The tundra ecosystem is quite vulnerable to drastic climate change in the Arctic, and the quantification of carbon dynamics is of significant importance regarding thawing permafrost, changes to the snow-covered period and snow and shrub community extent, and the decline of sea ice in the Arctic. Here, CO2 efflux measurements using a manual chamber system within a 40m×40m (5m interval;81 total points) plot were conducted within dominant tundra vegetation on the Seward Peninsula of Alaska, during the growing seasons of 2011 and 2012, for the assessment of driving parameters of CO2 efflux. We applied a hierarchical Bayesian (HB) model ? a function of soil temperature, soil moisture, vegetation type, and thaw depth ? to quantify the effects of environmental factors on CO2 efflux and to estimate growing season CO2 emissions. Our results showed that average CO2 efflux in 2011 was 1.4 times higher than in 2012, resulting from the distinct difference in soil moisture between the 2 years. Tussock-dominated CO2 efflux is 1.4 to 2.3 times higher than those measured in lichen and moss communities, revealing tussock as a significant CO2 source in the Arctic, with a wide area distribution on the circumpolar scale. CO2 efflux followed soil temperature nearly exponentially from both the observed data and the posterior medians of the HB model. This reveals that soil temperature regulates the seasonal variation of CO2 efflux and that soil moisture contributes to the interannual variation of CO2 efflux for the two growing seasons in question. Obvious changes in soil moisture during the growing seasons of 2011 and 2012 resulted in an explicit difference between CO2 effluxes ? 742 and 539 gCO2 m?2 period?1 for 2011 and 2012, respectively, suggesting the 2012 CO2 emission rate was reduced to 27%(95%credible interval: 17?36%) of the 2011 emission, due to higher soil moisture from severe rain. The estimated growing season CO2 emission rate ranged from 0.86MgCO2 in 2012 to 1.20MgCO2 in 2011 within a 40m×40m plot, corresponding to 86 and 80% of annual CO2 emission rates within the western Alaska tundra ecosystem, estimated from the temperature dependence of CO2 efflux. Therefore, this HB model can be readily applied to observed CO2 efflux, as it demands only four environmental factors and can also be effective for quantitatively assessing the driving parameters of CO2 efflux.
URI
http://repository.kopri.re.kr/handle/201206/6564
DOI
http://dx.doi.org/10.5194/bg-11-5567-2014
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