Investigating the sensitivity of soil respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model

The contribution of soil heterotrophic respiration to the boreal-Arctic carbon (CO 2 ) cycle and its potential feedback to climate change remain poorly quantified. We developed a remote sensing driven permafrost carbon model at intermediate scale (~ 1 km) to investigate how environmental factors aff...

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Main Authors: Yi, Yonghong, Kimball, John S., Watts, Jennifer D., Natali, Susan M., Zona, Donatella, Liu, Junjie, Ueyama, Masahito, Kobayashi, Hideki, Oechel, Walter, Miller, Charles E.
Format: Text
Language:English
Published: 2020
Subjects:
Online Access:https://doi.org/10.5194/bg-2020-182
https://www.biogeosciences-discuss.net/bg-2020-182/
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spelling ftcopernicus:oai:publications.copernicus.org:bgd85819 2023-05-15T15:05:53+02:00 Investigating the sensitivity of soil respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model Yi, Yonghong Kimball, John S. Watts, Jennifer D. Natali, Susan M. Zona, Donatella Liu, Junjie Ueyama, Masahito Kobayashi, Hideki Oechel, Walter Miller, Charles E. 2020-06-22 application/pdf https://doi.org/10.5194/bg-2020-182 https://www.biogeosciences-discuss.net/bg-2020-182/ eng eng doi:10.5194/bg-2020-182 https://www.biogeosciences-discuss.net/bg-2020-182/ eISSN: 1726-4189 Text 2020 ftcopernicus https://doi.org/10.5194/bg-2020-182 2020-06-29T16:22:02Z The contribution of soil heterotrophic respiration to the boreal-Arctic carbon (CO 2 ) cycle and its potential feedback to climate change remain poorly quantified. We developed a remote sensing driven permafrost carbon model at intermediate scale (~ 1 km) to investigate how environmental factors affect the magnitude and seasonality of soil heterotrophic respiration in Alaska. The permafrost carbon model simulates snow and soil thermal dynamics, and accounts for vertical soil carbon transport and decomposition at depths up to 3 m below surface. Model outputs include soil temperature profiles and carbon fluxes at 1-km resolution spanning the recent satellite era (2001–2017) across Alaska. Comparisons with eddy covariance tower measurements show that the model captures the seasonality of carbon fluxes, with favorable accuracy in predicting net ecosystem CO 2 exchange (NEE) in both tundra (R > 0.8, RMSE = 0.34 g C m −2 d −1 ) and boreal forest (R > 0.73, RMSE = 0.51 g C m −2 d −1 ). Benchmark assessments using two regional in-situ datasets indicate that the model captures the complex influence of snow insulation on soil temperature, and the temperature sensitivity of cold-season soil respiration. Across Alaska, we find that seasonal snow cover imposes strong controls on the contribution from different soil depths to total soil carbon emissions. Earlier snow melt in spring promotes deeper soil warming and enhances the contribution of deeper soils to total soil respiration during the later growing season, thereby reducing net ecosystem carbon uptake. Early cold-season soil respiration is closely linked to the number of snow-free days after land surface freezes (R = −0.48, p < 0.1), i.e. the delay in snow onset relative to surface freeze onset. Recent trends toward earlier autumn snow onset in northern Alaska promote a longer zero-curtain period and enhanced cold-season respiration. In contrast, southwestern Alaska shows a strong reduction in the number of snow-free days after land surface freeze onset, leading to earlier soil freezing and a large reduction in cold-season soil respiration. Our results also show non-negligible influences of sub-grid variability of surface conditions on the model simulated CO 2 seasonal cycle, especially during the early cold season at 10-km scale. Our results demonstrate the critical role of snow cover affecting the seasonality of soil temperature and respiration and highlight the challenges of incorporating these complex processes into future projections of boreal-Arctic carbon cycle. Text Arctic Climate change permafrost Tundra Alaska Copernicus Publications: E-Journals Arctic
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The contribution of soil heterotrophic respiration to the boreal-Arctic carbon (CO 2 ) cycle and its potential feedback to climate change remain poorly quantified. We developed a remote sensing driven permafrost carbon model at intermediate scale (~ 1 km) to investigate how environmental factors affect the magnitude and seasonality of soil heterotrophic respiration in Alaska. The permafrost carbon model simulates snow and soil thermal dynamics, and accounts for vertical soil carbon transport and decomposition at depths up to 3 m below surface. Model outputs include soil temperature profiles and carbon fluxes at 1-km resolution spanning the recent satellite era (2001–2017) across Alaska. Comparisons with eddy covariance tower measurements show that the model captures the seasonality of carbon fluxes, with favorable accuracy in predicting net ecosystem CO 2 exchange (NEE) in both tundra (R > 0.8, RMSE = 0.34 g C m −2 d −1 ) and boreal forest (R > 0.73, RMSE = 0.51 g C m −2 d −1 ). Benchmark assessments using two regional in-situ datasets indicate that the model captures the complex influence of snow insulation on soil temperature, and the temperature sensitivity of cold-season soil respiration. Across Alaska, we find that seasonal snow cover imposes strong controls on the contribution from different soil depths to total soil carbon emissions. Earlier snow melt in spring promotes deeper soil warming and enhances the contribution of deeper soils to total soil respiration during the later growing season, thereby reducing net ecosystem carbon uptake. Early cold-season soil respiration is closely linked to the number of snow-free days after land surface freezes (R = −0.48, p < 0.1), i.e. the delay in snow onset relative to surface freeze onset. Recent trends toward earlier autumn snow onset in northern Alaska promote a longer zero-curtain period and enhanced cold-season respiration. In contrast, southwestern Alaska shows a strong reduction in the number of snow-free days after land surface freeze onset, leading to earlier soil freezing and a large reduction in cold-season soil respiration. Our results also show non-negligible influences of sub-grid variability of surface conditions on the model simulated CO 2 seasonal cycle, especially during the early cold season at 10-km scale. Our results demonstrate the critical role of snow cover affecting the seasonality of soil temperature and respiration and highlight the challenges of incorporating these complex processes into future projections of boreal-Arctic carbon cycle.
format Text
author Yi, Yonghong
Kimball, John S.
Watts, Jennifer D.
Natali, Susan M.
Zona, Donatella
Liu, Junjie
Ueyama, Masahito
Kobayashi, Hideki
Oechel, Walter
Miller, Charles E.
spellingShingle Yi, Yonghong
Kimball, John S.
Watts, Jennifer D.
Natali, Susan M.
Zona, Donatella
Liu, Junjie
Ueyama, Masahito
Kobayashi, Hideki
Oechel, Walter
Miller, Charles E.
Investigating the sensitivity of soil respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model
author_facet Yi, Yonghong
Kimball, John S.
Watts, Jennifer D.
Natali, Susan M.
Zona, Donatella
Liu, Junjie
Ueyama, Masahito
Kobayashi, Hideki
Oechel, Walter
Miller, Charles E.
author_sort Yi, Yonghong
title Investigating the sensitivity of soil respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model
title_short Investigating the sensitivity of soil respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model
title_full Investigating the sensitivity of soil respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model
title_fullStr Investigating the sensitivity of soil respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model
title_full_unstemmed Investigating the sensitivity of soil respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model
title_sort investigating the sensitivity of soil respiration to recent snow cover changes in alaska using a satellite-based permafrost carbon model
publishDate 2020
url https://doi.org/10.5194/bg-2020-182
https://www.biogeosciences-discuss.net/bg-2020-182/
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
permafrost
Tundra
Alaska
genre_facet Arctic
Climate change
permafrost
Tundra
Alaska
op_source eISSN: 1726-4189
op_relation doi:10.5194/bg-2020-182
https://www.biogeosciences-discuss.net/bg-2020-182/
op_doi https://doi.org/10.5194/bg-2020-182
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