Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization
This paper aims to assess the spatial variability in the response of CO<sub>2</sub> 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...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2014-09-01
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| Series: | Biogeosciences |
| Online Access: | http://www.biogeosciences.net/11/4897/2014/bg-11-4897-2014.pdf |
| _version_ | 1819275181957316608 |
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| author | H. N. Mbufong M. Lund M. Aurela T. R. Christensen W. Eugster T. Friborg B. U. Hansen E. R. Humphreys M. Jackowicz-Korczynski L. Kutzbach P. M. Lafleur W. C. Oechel F. J. W. Parmentier D. P. Rasse A. V. Rocha T. Sachs M. K. van der Molen M. P. Tamstorf |
| author_facet | H. N. Mbufong M. Lund M. Aurela T. R. Christensen W. Eugster T. Friborg B. U. Hansen E. R. Humphreys M. Jackowicz-Korczynski L. Kutzbach P. M. Lafleur W. C. Oechel F. J. W. Parmentier D. P. Rasse A. V. Rocha T. Sachs M. K. van der Molen M. P. Tamstorf |
| author_sort | H. N. Mbufong |
| collection | DOAJ |
| description | This paper aims to assess the spatial variability in the response of
CO<sub>2</sub> 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° N.
<br><br>
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
(<i>F</i><sub>csat</sub>), (b) dark respiration (<i>R</i><sub>d</sub>), (c) light use efficiency
(α), (d) NEE when light is at 1000 μmol m<sup>−2</sup> s<sup>−1</sup>
(<i>F</i><sub>c1000</sub>), (e) potential photosynthesis at light saturation
(<i>P</i><sub>sat</sub>) and (f) the light compensation point (LCP).
<br><br>
Parameterization of LRCs was successful in predicting CO<sub>2</sub> 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 (<i>F</i><sub>csat</sub>, <i>F</i><sub>c1000</sub> and <i>P</i><sub>sat</sub>,
thus illustrating the potential for upscaling CO<sub>2</sub> 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. |
| first_indexed | 2024-12-23T23:20:15Z |
| format | Article |
| id | doaj.art-a775835fe387482ebb3520660792c705 |
| institution | Directory Open Access Journal |
| issn | 1726-4170 1726-4189 |
| language | English |
| last_indexed | 2024-12-23T23:20:15Z |
| publishDate | 2014-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Biogeosciences |
| spelling | doaj.art-a775835fe387482ebb3520660792c7052022-12-21T17:26:22ZengCopernicus PublicationsBiogeosciences1726-41701726-41892014-09-0111174897491210.5194/bg-11-4897-2014Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterizationH. N. Mbufong0M. Lund1M. Aurela2T. R. Christensen3W. Eugster4T. Friborg5B. U. Hansen6E. R. Humphreys7M. Jackowicz-Korczynski8L. Kutzbach9P. M. Lafleur10W. C. Oechel11F. J. W. Parmentier12D. P. Rasse13A. V. Rocha14T. Sachs15M. K. van der Molen16M. P. Tamstorf17Arctic Research Center, Department of Bioscience, Aarhus University, Roskilde, DenmarkArctic Research Center, Department of Bioscience, Aarhus University, Roskilde, DenmarkFinnish Meteorological Institute, Helsinki, FinlandArctic Research Center, Department of Bioscience, Aarhus University, Roskilde, DenmarkETH Zürich, Institute of Agricultural Sciences, Dept. Env. Systems Science, Zurich, SwitzerlandDepartment of Geography and Geology, University of Copenhagen, Copenhagen, DenmarkDepartment of Geography and Geology, University of Copenhagen, Copenhagen, DenmarkDepartment of Geography, Trent University, Trent, CanadaDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, SwedenInstitute of Soil Science, University of Hamburg, Hamburg, GermanyDepartment of Geography, Trent University, Trent, CanadaDepartment of Biology, San Diego State University, San Diego, California, USAArctic Research Center, Department of Bioscience, Aarhus University, Roskilde, DenmarkBioforsk, Norwegian Institute for Agricultural and Environmental Research, Ås, NorwayUniversity of Notre Dame, Department of Biological Sciences, Notre Dame, Indiana, USAHelmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, GermanyMeteorology and Air Quality group, Wageningen University, Wageningen, the NetherlandsArctic Research Center, Department of Bioscience, Aarhus University, Roskilde, DenmarkThis paper aims to assess the spatial variability in the response of CO<sub>2</sub> 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° N. <br><br> 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 (<i>F</i><sub>csat</sub>), (b) dark respiration (<i>R</i><sub>d</sub>), (c) light use efficiency (α), (d) NEE when light is at 1000 μmol m<sup>−2</sup> s<sup>−1</sup> (<i>F</i><sub>c1000</sub>), (e) potential photosynthesis at light saturation (<i>P</i><sub>sat</sub>) and (f) the light compensation point (LCP). <br><br> Parameterization of LRCs was successful in predicting CO<sub>2</sub> 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 (<i>F</i><sub>csat</sub>, <i>F</i><sub>c1000</sub> and <i>P</i><sub>sat</sub>, thus illustrating the potential for upscaling CO<sub>2</sub> 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.http://www.biogeosciences.net/11/4897/2014/bg-11-4897-2014.pdf |
| spellingShingle | H. N. Mbufong M. Lund M. Aurela T. R. Christensen W. Eugster T. Friborg B. U. Hansen E. R. Humphreys M. Jackowicz-Korczynski L. Kutzbach P. M. Lafleur W. C. Oechel F. J. W. Parmentier D. P. Rasse A. V. Rocha T. Sachs M. K. van der Molen M. P. Tamstorf Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization Biogeosciences |
| title | Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization |
| title_full | Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization |
| title_fullStr | Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization |
| title_full_unstemmed | Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization |
| title_short | Assessing the spatial variability in peak season CO<sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization |
| title_sort | assessing the spatial variability in peak season co sub 2 sub exchange characteristics across the arctic tundra using a light response curve parameterization |
| url | http://www.biogeosciences.net/11/4897/2014/bg-11-4897-2014.pdf |
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