Quantifying Arctic Terrestrial Ecosystem Carbon Dynamics Using Mechanistically-Based Biogeochemistry Models and In Situ and Satellite Data

Terrestrial ecosystems of northern mid-to-high latitudes (45°-90°N) play a critical role in global carbon cycling and climate system feedbacks, given the massive carbon storage in the region and the amplification effects due to year-round and seasonal snow covering. This region has vast area of peat...

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Main Author: Lyu, Zhou
Format: Text
Language:unknown
Published: Purdue University 2018
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Online Access:https://docs.lib.purdue.edu/open_access_dissertations/2012
https://docs.lib.purdue.edu/context/open_access_dissertations/article/3228/viewcontent/LyuZhouAcc.pdf
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spelling ftpurdueuniv:oai:docs.lib.purdue.edu:open_access_dissertations-3228 2023-07-02T03:31:24+02:00 Quantifying Arctic Terrestrial Ecosystem Carbon Dynamics Using Mechanistically-Based Biogeochemistry Models and In Situ and Satellite Data Lyu, Zhou 2018-08-01T07:00:00Z application/pdf https://docs.lib.purdue.edu/open_access_dissertations/2012 https://docs.lib.purdue.edu/context/open_access_dissertations/article/3228/viewcontent/LyuZhouAcc.pdf unknown Purdue University https://docs.lib.purdue.edu/open_access_dissertations/2012 https://docs.lib.purdue.edu/context/open_access_dissertations/article/3228/viewcontent/LyuZhouAcc.pdf Open Access Dissertations text 2018 ftpurdueuniv 2023-06-12T21:35:39Z Terrestrial ecosystems of northern mid-to-high latitudes (45°-90°N) play a critical role in global carbon cycling and climate system feedbacks, given the massive carbon storage in the region and the amplification effects due to year-round and seasonal snow covering. This region has vast area of peatlands with a large amount of soil organic carbon. It has experienced dramatic climatic and environmental changes in recent decades, and the changes are expected to continue. This dissertation aims to quantify the Arctic carbon dynamics under these changes using mechanistically-based biogeochemistry models and in situ and remotely sensed data. In the Arctic, snow pack modifies soil and carbon dynamics in the region due to its insulation effects. This dissertation first incorporated these effects by introducing a snow model into an existing soil thermal model in a biogeochemistry modeling framework, the Terrestrial Ecosystem Model (TEM). The coupled model was then used to quantify snow insulation effects on carbon (C) and soil thermal dynamics in the 45°-90°N region for the historical period of 2003-2010 and the future period of 2017-2099 under two future climate scenarios. The revised model captured the snow insulation effects and improved the estimates of soil thermal dynamics and the land freeze-thaw as well as terrestrial ecosystem carbon dynamics. Historical mean cold-season soil temperature at 5cm depth driven with satellite-based snow data was 6.4℃ warmer in comparison with the original model simulation. Frozen area in late spring was estimated to shrink mainly over eastern Siberia, in central to eastern Europe, and along southern Canada in November. During each non-growing season in the historical period, 0.41 Pg more soil C was released due to warmer soil temperature estimated using the new model. During 2003-2010, the revised model estimated that the region accumulated 0.86 Pg less C due to weaker gross primary production, leading to a regional C loss at 0.19 PgC/yr. The revised model projected that the region ... Text Arctic Siberia Purdue University: e-Pubs Arctic Canada
institution Open Polar
collection Purdue University: e-Pubs
op_collection_id ftpurdueuniv
language unknown
description Terrestrial ecosystems of northern mid-to-high latitudes (45°-90°N) play a critical role in global carbon cycling and climate system feedbacks, given the massive carbon storage in the region and the amplification effects due to year-round and seasonal snow covering. This region has vast area of peatlands with a large amount of soil organic carbon. It has experienced dramatic climatic and environmental changes in recent decades, and the changes are expected to continue. This dissertation aims to quantify the Arctic carbon dynamics under these changes using mechanistically-based biogeochemistry models and in situ and remotely sensed data. In the Arctic, snow pack modifies soil and carbon dynamics in the region due to its insulation effects. This dissertation first incorporated these effects by introducing a snow model into an existing soil thermal model in a biogeochemistry modeling framework, the Terrestrial Ecosystem Model (TEM). The coupled model was then used to quantify snow insulation effects on carbon (C) and soil thermal dynamics in the 45°-90°N region for the historical period of 2003-2010 and the future period of 2017-2099 under two future climate scenarios. The revised model captured the snow insulation effects and improved the estimates of soil thermal dynamics and the land freeze-thaw as well as terrestrial ecosystem carbon dynamics. Historical mean cold-season soil temperature at 5cm depth driven with satellite-based snow data was 6.4℃ warmer in comparison with the original model simulation. Frozen area in late spring was estimated to shrink mainly over eastern Siberia, in central to eastern Europe, and along southern Canada in November. During each non-growing season in the historical period, 0.41 Pg more soil C was released due to warmer soil temperature estimated using the new model. During 2003-2010, the revised model estimated that the region accumulated 0.86 Pg less C due to weaker gross primary production, leading to a regional C loss at 0.19 PgC/yr. The revised model projected that the region ...
format Text
author Lyu, Zhou
spellingShingle Lyu, Zhou
Quantifying Arctic Terrestrial Ecosystem Carbon Dynamics Using Mechanistically-Based Biogeochemistry Models and In Situ and Satellite Data
author_facet Lyu, Zhou
author_sort Lyu, Zhou
title Quantifying Arctic Terrestrial Ecosystem Carbon Dynamics Using Mechanistically-Based Biogeochemistry Models and In Situ and Satellite Data
title_short Quantifying Arctic Terrestrial Ecosystem Carbon Dynamics Using Mechanistically-Based Biogeochemistry Models and In Situ and Satellite Data
title_full Quantifying Arctic Terrestrial Ecosystem Carbon Dynamics Using Mechanistically-Based Biogeochemistry Models and In Situ and Satellite Data
title_fullStr Quantifying Arctic Terrestrial Ecosystem Carbon Dynamics Using Mechanistically-Based Biogeochemistry Models and In Situ and Satellite Data
title_full_unstemmed Quantifying Arctic Terrestrial Ecosystem Carbon Dynamics Using Mechanistically-Based Biogeochemistry Models and In Situ and Satellite Data
title_sort quantifying arctic terrestrial ecosystem carbon dynamics using mechanistically-based biogeochemistry models and in situ and satellite data
publisher Purdue University
publishDate 2018
url https://docs.lib.purdue.edu/open_access_dissertations/2012
https://docs.lib.purdue.edu/context/open_access_dissertations/article/3228/viewcontent/LyuZhouAcc.pdf
geographic Arctic
Canada
geographic_facet Arctic
Canada
genre Arctic
Siberia
genre_facet Arctic
Siberia
op_source Open Access Dissertations
op_relation https://docs.lib.purdue.edu/open_access_dissertations/2012
https://docs.lib.purdue.edu/context/open_access_dissertations/article/3228/viewcontent/LyuZhouAcc.pdf
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