The future of tundra carbon storage in Greenland:sensitivity to climate and plant trait changes

Abstract The continuous change in observed key indicators such as increasing nitrogen deposition, temperatures and precipitation will have marked but uncertain consequences for the ecosystem carbon (C) sink-source functioning of the Arctic. Here, we use multiple in-situ data streams measured by the...

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Main Authors: López-Blanco, E. (Efrén), Langen, P. L. (Peter L.), Williams, M. (Mathew), Christensen, J. H. (Jens Hesselbjerg), Boberg, F. (Fredrik), Langley, K. (Kirsty), Christensen, T. R. (Torben Røjle)
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2022
Subjects:
Online Access:http://urn.fi/urn:nbn:fi-fe2023030129072
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spelling ftunivoulu:oai:oulu.fi:nbnfi-fe2023030129072 2023-07-30T04:01:40+02:00 The future of tundra carbon storage in Greenland:sensitivity to climate and plant trait changes López-Blanco, E. (Efrén) Langen, P. L. (Peter L.) Williams, M. (Mathew) Christensen, J. H. (Jens Hesselbjerg) Boberg, F. (Fredrik) Langley, K. (Kirsty) Christensen, T. R. (Torben Røjle) 2022 application/pdf http://urn.fi/urn:nbn:fi-fe2023030129072 eng eng Elsevier info:eu-repo/semantics/altIdentifier/url/data.g-e-m.dk info:eu-repo/semantics/altIdentifier/url/http://prudence.dmi.dk/data/temp/FBO/GCB/ info:eu-repo/semantics/openAccess © 2022 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). https://creativecommons.org/licenses/by/4.0/ Arctic CO2 exchange Carbon cycle Ecosystem modelling Future projections Greenland info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2022 ftunivoulu 2023-07-08T20:01:03Z Abstract The continuous change in observed key indicators such as increasing nitrogen deposition, temperatures and precipitation will have marked but uncertain consequences for the ecosystem carbon (C) sink-source functioning of the Arctic. Here, we use multiple in-situ data streams measured by the Greenland Ecosystem Monitoring programme in tight connection with the Soil-Plant-Atmosphere model and climate projections from the high-resolution HIRHAM5 regional model. We apply this modelling framework with focus on two climatically different tundra sites in Greenland (Zackenberg and Kobbefjord) to assess how sensitive the net C uptake will expectedly be under warmer and wetter conditions across the 21st century and pin down the relative contribution to the overall C sink strength from climate versus plant trait variability. Our results suggest that temperatures (5–7.7 °C), total precipitation (19–110 %) and vapour pressure deficit will increase (32–36 %), while shortwave radiation will decline (6–9 %) at both sites by 2100 under the RCP8.5 scenario. Such a combined effect will, on average, intensify the net C uptake by 9–10 g C m−2 year−1 at both sites towards the end of 2100, but Zackenberg is expected to have more than twice the C sink strength capacity of Kobbefjord. Our sensitivity analysis not only reveals that plant traits are the most sensitive parameters controlling the net C exchange in both sites at the beginning and end of the century, but also that the projected increase in the net C uptake will likely be similarly influenced by future changes in climate and existing local nutrient conditions. A series of experiments forcing realistic changes in plant nitrogen status at both sites corroborates this hypothesis. This work proves the unique synergy between monitoring data and numerical models to assist robust model calibration/validation and narrow uncertainty ranges and ultimately produce more reliable C cycle projections in understudied regions such as Greenland. Article in Journal/Newspaper Arctic Greenland Tundra Zackenberg Jultika - University of Oulu repository Arctic Greenland Kobbefjord ENVELOPE(-51.527,-51.527,64.177,64.177)
institution Open Polar
collection Jultika - University of Oulu repository
op_collection_id ftunivoulu
language English
topic Arctic
CO2 exchange
Carbon cycle
Ecosystem modelling
Future projections
Greenland
spellingShingle Arctic
CO2 exchange
Carbon cycle
Ecosystem modelling
Future projections
Greenland
López-Blanco, E. (Efrén)
Langen, P. L. (Peter L.)
Williams, M. (Mathew)
Christensen, J. H. (Jens Hesselbjerg)
Boberg, F. (Fredrik)
Langley, K. (Kirsty)
Christensen, T. R. (Torben Røjle)
The future of tundra carbon storage in Greenland:sensitivity to climate and plant trait changes
topic_facet Arctic
CO2 exchange
Carbon cycle
Ecosystem modelling
Future projections
Greenland
description Abstract The continuous change in observed key indicators such as increasing nitrogen deposition, temperatures and precipitation will have marked but uncertain consequences for the ecosystem carbon (C) sink-source functioning of the Arctic. Here, we use multiple in-situ data streams measured by the Greenland Ecosystem Monitoring programme in tight connection with the Soil-Plant-Atmosphere model and climate projections from the high-resolution HIRHAM5 regional model. We apply this modelling framework with focus on two climatically different tundra sites in Greenland (Zackenberg and Kobbefjord) to assess how sensitive the net C uptake will expectedly be under warmer and wetter conditions across the 21st century and pin down the relative contribution to the overall C sink strength from climate versus plant trait variability. Our results suggest that temperatures (5–7.7 °C), total precipitation (19–110 %) and vapour pressure deficit will increase (32–36 %), while shortwave radiation will decline (6–9 %) at both sites by 2100 under the RCP8.5 scenario. Such a combined effect will, on average, intensify the net C uptake by 9–10 g C m−2 year−1 at both sites towards the end of 2100, but Zackenberg is expected to have more than twice the C sink strength capacity of Kobbefjord. Our sensitivity analysis not only reveals that plant traits are the most sensitive parameters controlling the net C exchange in both sites at the beginning and end of the century, but also that the projected increase in the net C uptake will likely be similarly influenced by future changes in climate and existing local nutrient conditions. A series of experiments forcing realistic changes in plant nitrogen status at both sites corroborates this hypothesis. This work proves the unique synergy between monitoring data and numerical models to assist robust model calibration/validation and narrow uncertainty ranges and ultimately produce more reliable C cycle projections in understudied regions such as Greenland.
format Article in Journal/Newspaper
author López-Blanco, E. (Efrén)
Langen, P. L. (Peter L.)
Williams, M. (Mathew)
Christensen, J. H. (Jens Hesselbjerg)
Boberg, F. (Fredrik)
Langley, K. (Kirsty)
Christensen, T. R. (Torben Røjle)
author_facet López-Blanco, E. (Efrén)
Langen, P. L. (Peter L.)
Williams, M. (Mathew)
Christensen, J. H. (Jens Hesselbjerg)
Boberg, F. (Fredrik)
Langley, K. (Kirsty)
Christensen, T. R. (Torben Røjle)
author_sort López-Blanco, E. (Efrén)
title The future of tundra carbon storage in Greenland:sensitivity to climate and plant trait changes
title_short The future of tundra carbon storage in Greenland:sensitivity to climate and plant trait changes
title_full The future of tundra carbon storage in Greenland:sensitivity to climate and plant trait changes
title_fullStr The future of tundra carbon storage in Greenland:sensitivity to climate and plant trait changes
title_full_unstemmed The future of tundra carbon storage in Greenland:sensitivity to climate and plant trait changes
title_sort future of tundra carbon storage in greenland:sensitivity to climate and plant trait changes
publisher Elsevier
publishDate 2022
url http://urn.fi/urn:nbn:fi-fe2023030129072
long_lat ENVELOPE(-51.527,-51.527,64.177,64.177)
geographic Arctic
Greenland
Kobbefjord
geographic_facet Arctic
Greenland
Kobbefjord
genre Arctic
Greenland
Tundra
Zackenberg
genre_facet Arctic
Greenland
Tundra
Zackenberg
op_relation info:eu-repo/semantics/altIdentifier/url/data.g-e-m.dk
info:eu-repo/semantics/altIdentifier/url/http://prudence.dmi.dk/data/temp/FBO/GCB/
op_rights info:eu-repo/semantics/openAccess
© 2022 The Authors. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
https://creativecommons.org/licenses/by/4.0/
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