Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system
There is a significant knowledge gap in the current state of the terrestrial carbon (C) budget. Recent studies have highlighted a poor understanding particularly of C pool transit times and of whether productivity or biomass dominate these biases. The Arctic, accounting for approximately 50% of the...
Published in: | Earth System Dynamics |
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Language: | English |
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2019
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Online Access: | https://pure.au.dk/portal/en/publications/95748572-ce02-4660-8e34-506d3ac23cba https://doi.org/10.5194/esd-10-233-2019 http://www.scopus.com/inward/record.url?scp=85064966516&partnerID=8YFLogxK |
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ftuniaarhuspubl:oai:pure.atira.dk:publications/95748572-ce02-4660-8e34-506d3ac23cba 2024-05-19T07:33:17+00:00 Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system López-Blanco, Efrén Exbrayat, Jean Francois Lund, Magnus Christensen, Torben R. Tamstorf, Mikkel P. Slevin, Darren Hugelius, Gustaf Bloom, Anthony A. Williams, Mathew 2019 https://pure.au.dk/portal/en/publications/95748572-ce02-4660-8e34-506d3ac23cba https://doi.org/10.5194/esd-10-233-2019 http://www.scopus.com/inward/record.url?scp=85064966516&partnerID=8YFLogxK eng eng https://pure.au.dk/portal/en/publications/95748572-ce02-4660-8e34-506d3ac23cba info:eu-repo/semantics/openAccess López-Blanco , E , Exbrayat , J F , Lund , M , Christensen , T R , Tamstorf , M P , Slevin , D , Hugelius , G , Bloom , A A & Williams , M 2019 , ' Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system ' , Earth System Dynamics , vol. 10 , no. 2 , pp. 233-255 . https://doi.org/10.5194/esd-10-233-2019 EDDY COVARIANCE TECHNIQUE NET ECOSYSTEM PRODUCTION LAND-SURFACE MODELS LEAF-AREA INDEX SOIL CARBON PERMAFROST CARBON PRIMARY PRODUCTIVITY HIGH-LATITUDES USE EFFICIENCY GLOBAL CARBON article 2019 ftuniaarhuspubl https://doi.org/10.5194/esd-10-233-2019 2024-05-01T23:46:33Z There is a significant knowledge gap in the current state of the terrestrial carbon (C) budget. Recent studies have highlighted a poor understanding particularly of C pool transit times and of whether productivity or biomass dominate these biases. The Arctic, accounting for approximately 50% of the global soil organic C stocks, has an important role in the global C cycle. Here, we use the CARbon DAta MOdel (CARDAMOM) data-assimilation system to produce pan-Arctic terrestrial C cycle analyses for 2000-2015. This approach avoids using traditional plant functional type or steady-state assumptions. We integrate a range of data (soil organic C, leaf area index, biomass, and climate) to determine the most likely state of the high-latitude C cycle at a 11 resolution and also to provide general guidance about the controlling biases in transit times. On average, CARDAMOM estimates regional mean rates of photosynthesis of 565 gCm2 yr1 (90% confidence interval between the 5th and 95th percentiles: 428, 741), autotrophic respiration of 270 g Cm2 yr1 (182, 397) and heterotrophic respiration of 219 g Cm2 yr1 (31, 1458), suggesting a pan-Arctic sink of 67 (287, 1160) gCm2 yr1, weaker in tundra and stronger in taiga. However, our confidence intervals remain large (and so the region could be a source of C), reflecting uncertainty assigned to the regional data products. We show a clear spatial and temporal agreement between CARDAMOM analyses and different sources of assimilated and independent data at both pan-Arctic and local scales but also identify consistent biases between CARDAMOM and validation data. The assimilation process requires clearer error quantification for leaf area index (LAI) and biomass products to resolve these biases. Mapping of vegetation C stocks and change over time and soil C ages linked to soil C stocks is required for better analytical constraint. Comparing CARDAMOM analyses to global vegetation models (GVMs) for the same period, we conclude that transit times of vegetation C are inconsistently ... Article in Journal/Newspaper Arctic Arctic permafrost taiga Tundra Aarhus University: Research Earth System Dynamics 10 2 233 255 |
institution |
Open Polar |
collection |
Aarhus University: Research |
op_collection_id |
ftuniaarhuspubl |
language |
English |
topic |
EDDY COVARIANCE TECHNIQUE NET ECOSYSTEM PRODUCTION LAND-SURFACE MODELS LEAF-AREA INDEX SOIL CARBON PERMAFROST CARBON PRIMARY PRODUCTIVITY HIGH-LATITUDES USE EFFICIENCY GLOBAL CARBON |
spellingShingle |
EDDY COVARIANCE TECHNIQUE NET ECOSYSTEM PRODUCTION LAND-SURFACE MODELS LEAF-AREA INDEX SOIL CARBON PERMAFROST CARBON PRIMARY PRODUCTIVITY HIGH-LATITUDES USE EFFICIENCY GLOBAL CARBON López-Blanco, Efrén Exbrayat, Jean Francois Lund, Magnus Christensen, Torben R. Tamstorf, Mikkel P. Slevin, Darren Hugelius, Gustaf Bloom, Anthony A. Williams, Mathew Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system |
topic_facet |
EDDY COVARIANCE TECHNIQUE NET ECOSYSTEM PRODUCTION LAND-SURFACE MODELS LEAF-AREA INDEX SOIL CARBON PERMAFROST CARBON PRIMARY PRODUCTIVITY HIGH-LATITUDES USE EFFICIENCY GLOBAL CARBON |
description |
There is a significant knowledge gap in the current state of the terrestrial carbon (C) budget. Recent studies have highlighted a poor understanding particularly of C pool transit times and of whether productivity or biomass dominate these biases. The Arctic, accounting for approximately 50% of the global soil organic C stocks, has an important role in the global C cycle. Here, we use the CARbon DAta MOdel (CARDAMOM) data-assimilation system to produce pan-Arctic terrestrial C cycle analyses for 2000-2015. This approach avoids using traditional plant functional type or steady-state assumptions. We integrate a range of data (soil organic C, leaf area index, biomass, and climate) to determine the most likely state of the high-latitude C cycle at a 11 resolution and also to provide general guidance about the controlling biases in transit times. On average, CARDAMOM estimates regional mean rates of photosynthesis of 565 gCm2 yr1 (90% confidence interval between the 5th and 95th percentiles: 428, 741), autotrophic respiration of 270 g Cm2 yr1 (182, 397) and heterotrophic respiration of 219 g Cm2 yr1 (31, 1458), suggesting a pan-Arctic sink of 67 (287, 1160) gCm2 yr1, weaker in tundra and stronger in taiga. However, our confidence intervals remain large (and so the region could be a source of C), reflecting uncertainty assigned to the regional data products. We show a clear spatial and temporal agreement between CARDAMOM analyses and different sources of assimilated and independent data at both pan-Arctic and local scales but also identify consistent biases between CARDAMOM and validation data. The assimilation process requires clearer error quantification for leaf area index (LAI) and biomass products to resolve these biases. Mapping of vegetation C stocks and change over time and soil C ages linked to soil C stocks is required for better analytical constraint. Comparing CARDAMOM analyses to global vegetation models (GVMs) for the same period, we conclude that transit times of vegetation C are inconsistently ... |
format |
Article in Journal/Newspaper |
author |
López-Blanco, Efrén Exbrayat, Jean Francois Lund, Magnus Christensen, Torben R. Tamstorf, Mikkel P. Slevin, Darren Hugelius, Gustaf Bloom, Anthony A. Williams, Mathew |
author_facet |
López-Blanco, Efrén Exbrayat, Jean Francois Lund, Magnus Christensen, Torben R. Tamstorf, Mikkel P. Slevin, Darren Hugelius, Gustaf Bloom, Anthony A. Williams, Mathew |
author_sort |
López-Blanco, Efrén |
title |
Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system |
title_short |
Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system |
title_full |
Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system |
title_fullStr |
Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system |
title_full_unstemmed |
Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system |
title_sort |
evaluation of terrestrial pan-arctic carbon cycling using a data-assimilation system |
publishDate |
2019 |
url |
https://pure.au.dk/portal/en/publications/95748572-ce02-4660-8e34-506d3ac23cba https://doi.org/10.5194/esd-10-233-2019 http://www.scopus.com/inward/record.url?scp=85064966516&partnerID=8YFLogxK |
genre |
Arctic Arctic permafrost taiga Tundra |
genre_facet |
Arctic Arctic permafrost taiga Tundra |
op_source |
López-Blanco , E , Exbrayat , J F , Lund , M , Christensen , T R , Tamstorf , M P , Slevin , D , Hugelius , G , Bloom , A A & Williams , M 2019 , ' Evaluation of terrestrial pan-Arctic carbon cycling using a data-assimilation system ' , Earth System Dynamics , vol. 10 , no. 2 , pp. 233-255 . https://doi.org/10.5194/esd-10-233-2019 |
op_relation |
https://pure.au.dk/portal/en/publications/95748572-ce02-4660-8e34-506d3ac23cba |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/esd-10-233-2019 |
container_title |
Earth System Dynamics |
container_volume |
10 |
container_issue |
2 |
container_start_page |
233 |
op_container_end_page |
255 |
_version_ |
1799471363643146240 |