×ばつ 40 m (5 m 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 CO<sub>2</sub> 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 CO<sub>2</sub> efflux and to estimate growing season CO<sub>2</sub> emissions. Our results showed that average CO<sub>2</sub> 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 CO<sub>2</sub> efflux is 1.4 to 2.3 times higher than those measured in lichen and moss communities, revealing tussock as a significant CO<sub>2</sub> source in the Arctic, with a wide area distribution on the circumpolar scale. CO<sub>2</sub> 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 CO<sub>2</sub> efflux and that soil moisture contributes to the interannual variation of CO<sub>2</sub> 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 CO<sub>2</sub> effluxes – 742 and 539 g CO<sub>2</sub> m<sup>−2</sup> period<sup>−1</sup> for 2011 and 2012, respectively, suggesting the 2012 CO<sub>2</sub> 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 CO<sub>2</sub> emission rate ranged from 0.86 Mg CO<sub>2</sub> in 2012 to 1.20 Mg CO<sub>2</sub> in 2011 within a 40 m ×ばつ 40 m plot, corresponding to 86 and 80% of annual CO<sub>2</sub> emission rates within the western Alaska tundra ecosystem, estimated from the temperature dependence of CO<sub>2</sub> efflux. Therefore, this HB model can be readily applied to observed CO<sub>2</sub> efflux, as it demands only four environmental factors and can also be effective for quantitatively assessing the driving parameters of CO<sub>2</sub> efflux.</p>"/>
BG
Articles | Volume 11, issue 19
https://doi.org/10.5194/bg-11-5567-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-5567-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
|
13 Oct 2014
Research article | | 13 Oct 2014

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

Y. Kim, K. Nishina, N. Chae, S. J. Park, Y. J. Yoon, and B. Y. Lee

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AR by Yongwon Kim on behalf of the Authors (07 Sep 2014) Author's response Manuscript
ED: Publish as is (09 Sep 2014) by Yiqi Luo
AR by Yongwon Kim on behalf of the Authors (09 Sep 2014) Author's response Manuscript

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