High-resolution satellite data reveal an increase in peak growing season gross primary production in a high-Arctic wet tundra ecosystem 1992-2008
(2012) In International Journal of Applied Earth Observation and Geoinformation 18. p.407-416- Abstract
- Arctic ecosystems play a key role in the terrestrial carbon cycle. Our aim was to combine satellite-based normalized difference vegetation index (NDVI) with field measurements of CO2 fluxes to investigate changes in gross primary production (GPP) for the peak growing seasons 1992-2008 in Rylekaerene, a wet tundra ecosystem in the Zackenberg valley, north-eastern Greenland. A method to incorporate controls on GPP through satellite data is the light use efficiency (LUE) model, here expressed as GPP = epsilon(peak) x PAR(in) x FAPAR(green_peak); where epsilon(peak) was peak growing season light use efficiency of the vegetation, PARin was incoming photosynthetically active radiation, and FAPAR(green_peak) was peak growing season fraction of... (More)
- Arctic ecosystems play a key role in the terrestrial carbon cycle. Our aim was to combine satellite-based normalized difference vegetation index (NDVI) with field measurements of CO2 fluxes to investigate changes in gross primary production (GPP) for the peak growing seasons 1992-2008 in Rylekaerene, a wet tundra ecosystem in the Zackenberg valley, north-eastern Greenland. A method to incorporate controls on GPP through satellite data is the light use efficiency (LUE) model, here expressed as GPP = epsilon(peak) x PAR(in) x FAPAR(green_peak); where epsilon(peak) was peak growing season light use efficiency of the vegetation, PARin was incoming photosynthetically active radiation, and FAPAR(green_peak) was peak growing season fraction of PAR absorbed by the green vegetation. The Speak was measured for seven different high-Arctic plant communities in the field, and it was on average 1.63 g CO2 MJ(-1). We found a significant linear relationship between FAPARgreen_peak measured in the field and satellite-based NDVI. The linear regression was applied to peak growing season NDVI 1992-2008 and derived FAPAR(green_peak) was entered into the LUE-model. It was shown that when several empirical models are combined, propagation errors are introduced, which results in considerable model uncertainties. The LUE-model was evaluated against field-measured GPP and the model captured field-measured GPP well (RMSE was 192 mg CO2 m(-2) h(-1)). The model showed an increase in peak growing season GPP of 42 mg CO2 m(-2) h(-1) y(-1) in Rylekaerene 1992-2008. There was also a strong increase in air temperature (0.15 degrees C y(-1)), indicating that the GPP trend may have been climate driven. (C) 2012 Elsevier B.V. All rights reserved. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2994881
- author
- Tagesson, Torbern LU ; Mastepanov, Mikhail LU ; Tamstorf, Mikkel P. ; Eklundh, Lars LU ; Schubert, Per LU ; Ekberg, Anna LU ; Sigsgaard, Charlotte ; Christensen, Torben LU and Ström, Lena LU
- organization
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Light use efficiency, NDVI, Remote sensing, Climate change, FAPAR, GPP
- in
- International Journal of Applied Earth Observation and Geoinformation
- volume
- 18
- pages
- 407 - 416
- publisher
- Elsevier
- external identifiers
-
- wos:000306198900038
- scopus:84864506760
- ISSN
- 1569-8432
- DOI
- 10.1016/j.jag.2012.03.016
- language
- English
- LU publication?
- yes
- id
- 0632313e-3282-4999-a2af-d7693894cb13 (old id 2994881)
- date added to LUP
- 2016-04-01 14:36:13
- date last changed
- 2022-03-06 20:13:32
@article{0632313e-3282-4999-a2af-d7693894cb13, abstract = {{Arctic ecosystems play a key role in the terrestrial carbon cycle. Our aim was to combine satellite-based normalized difference vegetation index (NDVI) with field measurements of CO2 fluxes to investigate changes in gross primary production (GPP) for the peak growing seasons 1992-2008 in Rylekaerene, a wet tundra ecosystem in the Zackenberg valley, north-eastern Greenland. A method to incorporate controls on GPP through satellite data is the light use efficiency (LUE) model, here expressed as GPP = epsilon(peak) x PAR(in) x FAPAR(green_peak); where epsilon(peak) was peak growing season light use efficiency of the vegetation, PARin was incoming photosynthetically active radiation, and FAPAR(green_peak) was peak growing season fraction of PAR absorbed by the green vegetation. The Speak was measured for seven different high-Arctic plant communities in the field, and it was on average 1.63 g CO2 MJ(-1). We found a significant linear relationship between FAPARgreen_peak measured in the field and satellite-based NDVI. The linear regression was applied to peak growing season NDVI 1992-2008 and derived FAPAR(green_peak) was entered into the LUE-model. It was shown that when several empirical models are combined, propagation errors are introduced, which results in considerable model uncertainties. The LUE-model was evaluated against field-measured GPP and the model captured field-measured GPP well (RMSE was 192 mg CO2 m(-2) h(-1)). The model showed an increase in peak growing season GPP of 42 mg CO2 m(-2) h(-1) y(-1) in Rylekaerene 1992-2008. There was also a strong increase in air temperature (0.15 degrees C y(-1)), indicating that the GPP trend may have been climate driven. (C) 2012 Elsevier B.V. All rights reserved.}}, author = {{Tagesson, Torbern and Mastepanov, Mikhail and Tamstorf, Mikkel P. and Eklundh, Lars and Schubert, Per and Ekberg, Anna and Sigsgaard, Charlotte and Christensen, Torben and Ström, Lena}}, issn = {{1569-8432}}, keywords = {{Light use efficiency; NDVI; Remote sensing; Climate change; FAPAR; GPP}}, language = {{eng}}, pages = {{407--416}}, publisher = {{Elsevier}}, series = {{International Journal of Applied Earth Observation and Geoinformation}}, title = {{High-resolution satellite data reveal an increase in peak growing season gross primary production in a high-Arctic wet tundra ecosystem 1992-2008}}, url = {{https://lup.lub.lu.se/search/files/45731826/Tagesson_et_al_2012_IJAEOG.pdf}}, doi = {{10.1016/j.jag.2012.03.016}}, volume = {{18}}, year = {{2012}}, }