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

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. Her...

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Published in:Biogeosciences
Main Authors: Kim, Y., Nishina, K., Chae, N., Park, S. J., Yoon, Y. J., Lee, B. Y.
Format: Text
Language:English
Published: 2018
Subjects:
Ice
Online Access:https://doi.org/10.5194/bg-11-5567-2014
https://www.biogeosciences.net/11/5567/2014/
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spelling ftcopernicus:oai:publications.copernicus.org:bg24493 2023-05-15T14:59:45+02:00 Constraint of soil moisture on CO2 efflux from tundra lichen, moss, and tussock in Council, Alaska, using a hierarchical Bayesian model Kim, Y. Nishina, K. Chae, N. Park, S. J. Yoon, Y. J. Lee, B. Y. 2018-09-27 application/pdf https://doi.org/10.5194/bg-11-5567-2014 https://www.biogeosciences.net/11/5567/2014/ eng eng doi:10.5194/bg-11-5567-2014 https://www.biogeosciences.net/11/5567/2014/ eISSN: 1726-4189 Text 2018 ftcopernicus https://doi.org/10.5194/bg-11-5567-2014 2019-12-24T09:54:07Z 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, CO 2 efflux measurements using a manual chamber system within a 40 m × 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 2 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 2 efflux and to estimate growing season CO 2 emissions. Our results showed that average CO 2 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 2 efflux is 1.4 to 2.3 times higher than those measured in lichen and moss communities, revealing tussock as a significant CO 2 source in the Arctic, with a wide area distribution on the circumpolar scale. CO 2 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 2 efflux and that soil moisture contributes to the interannual variation of CO 2 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 2 effluxes – 742 and 539 g CO 2 m −2 period −1 for 2011 and 2012, respectively, suggesting the 2012 CO 2 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 2 emission rate ranged from 0.86 Mg CO 2 in 2012 to 1.20 Mg CO 2 in 2011 within a 40 m × 40 m plot, corresponding to 86 and 80% of annual CO 2 emission rates within the western Alaska tundra ecosystem, estimated from the temperature dependence of CO 2 efflux. Therefore, this HB model can be readily applied to observed CO 2 efflux, as it demands only four environmental factors and can also be effective for quantitatively assessing the driving parameters of CO 2 efflux. Text Arctic Climate change Ice permafrost Sea ice Seward Peninsula Tundra Alaska Copernicus Publications: E-Journals Arctic Biogeosciences 11 19 5567 5579
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description 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, CO 2 efflux measurements using a manual chamber system within a 40 m × 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 2 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 2 efflux and to estimate growing season CO 2 emissions. Our results showed that average CO 2 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 2 efflux is 1.4 to 2.3 times higher than those measured in lichen and moss communities, revealing tussock as a significant CO 2 source in the Arctic, with a wide area distribution on the circumpolar scale. CO 2 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 2 efflux and that soil moisture contributes to the interannual variation of CO 2 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 2 effluxes – 742 and 539 g CO 2 m −2 period −1 for 2011 and 2012, respectively, suggesting the 2012 CO 2 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 2 emission rate ranged from 0.86 Mg CO 2 in 2012 to 1.20 Mg CO 2 in 2011 within a 40 m × 40 m plot, corresponding to 86 and 80% of annual CO 2 emission rates within the western Alaska tundra ecosystem, estimated from the temperature dependence of CO 2 efflux. Therefore, this HB model can be readily applied to observed CO 2 efflux, as it demands only four environmental factors and can also be effective for quantitatively assessing the driving parameters of CO 2 efflux.
format Text
author Kim, Y.
Nishina, K.
Chae, N.
Park, S. J.
Yoon, Y. J.
Lee, B. Y.
spellingShingle Kim, Y.
Nishina, K.
Chae, N.
Park, S. J.
Yoon, Y. J.
Lee, B. Y.
Constraint of soil moisture on CO2 efflux from tundra lichen, moss, and tussock in Council, Alaska, using a hierarchical Bayesian model
author_facet Kim, Y.
Nishina, K.
Chae, N.
Park, S. J.
Yoon, Y. J.
Lee, B. Y.
author_sort Kim, Y.
title Constraint of soil moisture on CO2 efflux from tundra lichen, moss, and tussock in Council, Alaska, using a hierarchical Bayesian model
title_short Constraint of soil moisture on CO2 efflux from tundra lichen, moss, and tussock in Council, Alaska, using a hierarchical Bayesian model
title_full Constraint of soil moisture on CO2 efflux from tundra lichen, moss, and tussock in Council, Alaska, using a hierarchical Bayesian model
title_fullStr Constraint of soil moisture on CO2 efflux from tundra lichen, moss, and tussock in Council, Alaska, using a hierarchical Bayesian model
title_full_unstemmed Constraint of soil moisture on CO2 efflux from tundra lichen, moss, and tussock in Council, Alaska, using a hierarchical Bayesian model
title_sort constraint of soil moisture on co2 efflux from tundra lichen, moss, and tussock in council, alaska, using a hierarchical bayesian model
publishDate 2018
url https://doi.org/10.5194/bg-11-5567-2014
https://www.biogeosciences.net/11/5567/2014/
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Ice
permafrost
Sea ice
Seward Peninsula
Tundra
Alaska
genre_facet Arctic
Climate change
Ice
permafrost
Sea ice
Seward Peninsula
Tundra
Alaska
op_source eISSN: 1726-4189
op_relation doi:10.5194/bg-11-5567-2014
https://www.biogeosciences.net/11/5567/2014/
op_doi https://doi.org/10.5194/bg-11-5567-2014
container_title Biogeosciences
container_volume 11
container_issue 19
container_start_page 5567
op_container_end_page 5579
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