Assessing the spatial variability in peak season CO2 exchange characteristics across the Arctic tundra using a light response curve parameterization
This paper aims to assess the spatial variability in the response of CO2 exchange to irradiance across the Arctic tundra during peak season using light response curve (LRC) parameters. This investigation allows us to better understand the future response of Arctic tundra under climatic change. Peak...
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2014
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Online Access: | https://lup.lub.lu.se/record/4709774 https://doi.org/10.5194/bg-11-4897-2014 |
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ftulundlup:oai:lup.lub.lu.se:36963246-d86e-49f5-a7d8-c229b1d38985 2023-05-15T14:38:44+02:00 Assessing the spatial variability in peak season CO2 exchange characteristics across the Arctic tundra using a light response curve parameterization Mbufong, H. N. Lund, M. Aurela, M. Christensen, Torben Eugster, W. Friborg, T. Hansen, B. U. Humphreys, E. R. Jackowicz-Korczynski, Marcin Kutzbach, L. Lafleur, P. M. Oechel, W. C. Parmentier, Frans-Jan Rasse, D. P. Rocha, A. V. Sachs, T. van der Molen, M. K. Tamstorf, M. P. 2014 https://lup.lub.lu.se/record/4709774 https://doi.org/10.5194/bg-11-4897-2014 eng eng Copernicus GmbH https://lup.lub.lu.se/record/4709774 http://dx.doi.org/10.5194/bg-11-4897-2014 wos:000342116000024 scopus:84907202565 Biogeosciences; 11(17), pp 4897-4912 (2014) ISSN: 1726-4189 Physical Geography contributiontojournal/article info:eu-repo/semantics/article text 2014 ftulundlup https://doi.org/10.5194/bg-11-4897-2014 2023-02-01T23:29:16Z This paper aims to assess the spatial variability in the response of CO2 exchange to irradiance across the Arctic tundra during peak season using light response curve (LRC) parameters. This investigation allows us to better understand the future response of Arctic tundra under climatic change. Peak season data were collected during different years (between 1998 and 2010) using the micrometeorological eddy covariance technique from 12 circumpolar Arctic tundra sites, in the range of 64-74 degrees N. The LRCs were generated for 14 days with peak net ecosystem exchange (NEE) using an NEE-irradiance model. Parameters from LRCs represent site-specific traits and characteristics describing the following: (a) NEE at light saturation (F-csat), (b) dark respiration (Rd), (c) light use efficiency (alpha), (d) NEE when light is at 1000 mu molm(-2) s(-1) (F-c1000), (e) potential photosynthesis at light saturation (P-sat) and (f) the light compensation point (LCP). Parameterization of LRCs was successful in predicting CO2 flux dynamics across the Arctic tundra. We did not find any trends in LRC parameters across the whole Arctic tundra but there were indications for temperature and latitudinal differences within sub-regions like Russia and Greenland. Together, leaf area index (LAI) and July temperature had a high explanatory power of the variance in assimilation parameters (F-csat, F-c1000 and P-sat), thus illustrating the potential for upscaling CO2 exchange for the whole Arctic tundra. Dark respiration was more variable and less correlated to environmental drivers than were assimilation parameters. This indicates the inherent need to include other parameters such as nutrient availability, substrate quantity and quality in flux monitoring activities. Article in Journal/Newspaper Arctic Greenland Tundra Lund University Publications (LUP) Arctic Greenland Biogeosciences 11 17 4897 4912 |
institution |
Open Polar |
collection |
Lund University Publications (LUP) |
op_collection_id |
ftulundlup |
language |
English |
topic |
Physical Geography |
spellingShingle |
Physical Geography Mbufong, H. N. Lund, M. Aurela, M. Christensen, Torben Eugster, W. Friborg, T. Hansen, B. U. Humphreys, E. R. Jackowicz-Korczynski, Marcin Kutzbach, L. Lafleur, P. M. Oechel, W. C. Parmentier, Frans-Jan Rasse, D. P. Rocha, A. V. Sachs, T. van der Molen, M. K. Tamstorf, M. P. Assessing the spatial variability in peak season CO2 exchange characteristics across the Arctic tundra using a light response curve parameterization |
topic_facet |
Physical Geography |
description |
This paper aims to assess the spatial variability in the response of CO2 exchange to irradiance across the Arctic tundra during peak season using light response curve (LRC) parameters. This investigation allows us to better understand the future response of Arctic tundra under climatic change. Peak season data were collected during different years (between 1998 and 2010) using the micrometeorological eddy covariance technique from 12 circumpolar Arctic tundra sites, in the range of 64-74 degrees N. The LRCs were generated for 14 days with peak net ecosystem exchange (NEE) using an NEE-irradiance model. Parameters from LRCs represent site-specific traits and characteristics describing the following: (a) NEE at light saturation (F-csat), (b) dark respiration (Rd), (c) light use efficiency (alpha), (d) NEE when light is at 1000 mu molm(-2) s(-1) (F-c1000), (e) potential photosynthesis at light saturation (P-sat) and (f) the light compensation point (LCP). Parameterization of LRCs was successful in predicting CO2 flux dynamics across the Arctic tundra. We did not find any trends in LRC parameters across the whole Arctic tundra but there were indications for temperature and latitudinal differences within sub-regions like Russia and Greenland. Together, leaf area index (LAI) and July temperature had a high explanatory power of the variance in assimilation parameters (F-csat, F-c1000 and P-sat), thus illustrating the potential for upscaling CO2 exchange for the whole Arctic tundra. Dark respiration was more variable and less correlated to environmental drivers than were assimilation parameters. This indicates the inherent need to include other parameters such as nutrient availability, substrate quantity and quality in flux monitoring activities. |
format |
Article in Journal/Newspaper |
author |
Mbufong, H. N. Lund, M. Aurela, M. Christensen, Torben Eugster, W. Friborg, T. Hansen, B. U. Humphreys, E. R. Jackowicz-Korczynski, Marcin Kutzbach, L. Lafleur, P. M. Oechel, W. C. Parmentier, Frans-Jan Rasse, D. P. Rocha, A. V. Sachs, T. van der Molen, M. K. Tamstorf, M. P. |
author_facet |
Mbufong, H. N. Lund, M. Aurela, M. Christensen, Torben Eugster, W. Friborg, T. Hansen, B. U. Humphreys, E. R. Jackowicz-Korczynski, Marcin Kutzbach, L. Lafleur, P. M. Oechel, W. C. Parmentier, Frans-Jan Rasse, D. P. Rocha, A. V. Sachs, T. van der Molen, M. K. Tamstorf, M. P. |
author_sort |
Mbufong, H. N. |
title |
Assessing the spatial variability in peak season CO2 exchange characteristics across the Arctic tundra using a light response curve parameterization |
title_short |
Assessing the spatial variability in peak season CO2 exchange characteristics across the Arctic tundra using a light response curve parameterization |
title_full |
Assessing the spatial variability in peak season CO2 exchange characteristics across the Arctic tundra using a light response curve parameterization |
title_fullStr |
Assessing the spatial variability in peak season CO2 exchange characteristics across the Arctic tundra using a light response curve parameterization |
title_full_unstemmed |
Assessing the spatial variability in peak season CO2 exchange characteristics across the Arctic tundra using a light response curve parameterization |
title_sort |
assessing the spatial variability in peak season co2 exchange characteristics across the arctic tundra using a light response curve parameterization |
publisher |
Copernicus GmbH |
publishDate |
2014 |
url |
https://lup.lub.lu.se/record/4709774 https://doi.org/10.5194/bg-11-4897-2014 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland Tundra |
genre_facet |
Arctic Greenland Tundra |
op_source |
Biogeosciences; 11(17), pp 4897-4912 (2014) ISSN: 1726-4189 |
op_relation |
https://lup.lub.lu.se/record/4709774 http://dx.doi.org/10.5194/bg-11-4897-2014 wos:000342116000024 scopus:84907202565 |
op_doi |
https://doi.org/10.5194/bg-11-4897-2014 |
container_title |
Biogeosciences |
container_volume |
11 |
container_issue |
17 |
container_start_page |
4897 |
op_container_end_page |
4912 |
_version_ |
1766310768961126400 |