Upscaling Tundra CO 2 Exchange from Chamber to Eddy Covariance Tower
Extrapolating biosphere-atmosphere CO2 flux observations to larger scales in space, part of the so-called “upscaling” problem, is a central challenge for surface-atmosphere exchange research. Upscaling CO2 flux in tundra is complicated by the pronounced spatial variability of vegetation cover. We de...
Published in: | Arctic, Antarctic, and Alpine Research |
---|---|
Main Authors: | , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://risweb.st-andrews.ac.uk/portal/en/researchoutput/upscaling-tundra-co2-exchange-from-chamber-to-eddy-covariance-tower(765ebf71-1593-4525-b27e-07e54893e4ca).html https://doi.org/10.1657/1938-4246-45.2.275 |
id |
ftunstandrewcris:oai:risweb.st-andrews.ac.uk:publications/765ebf71-1593-4525-b27e-07e54893e4ca |
---|---|
record_format |
openpolar |
spelling |
ftunstandrewcris:oai:risweb.st-andrews.ac.uk:publications/765ebf71-1593-4525-b27e-07e54893e4ca 2023-05-15T12:59:42+02:00 Upscaling Tundra CO 2 Exchange from Chamber to Eddy Covariance Tower Stoy, Paul C. Williams, Mathew Evans, Jonathan G. Prieto-Blanco, Ana Disney, Mathias Hill, Timothy Charles Ward, Helen C. Wade, Thomas J. Street, Lorna E. 2013-05-01 https://risweb.st-andrews.ac.uk/portal/en/researchoutput/upscaling-tundra-co2-exchange-from-chamber-to-eddy-covariance-tower(765ebf71-1593-4525-b27e-07e54893e4ca).html https://doi.org/10.1657/1938-4246-45.2.275 eng eng info:eu-repo/semantics/restrictedAccess Stoy , P C , Williams , M , Evans , J G , Prieto-Blanco , A , Disney , M , Hill , T C , Ward , H C , Wade , T J & Street , L E 2013 , ' Upscaling Tundra CO 2 Exchange from Chamber to Eddy Covariance Tower ' , Artic Antarctic and Alpine Research , vol. 45 , no. 2 , pp. 275-284 . https://doi.org/10.1657/1938-4246-45.2.275 article 2013 ftunstandrewcris https://doi.org/10.1657/1938-4246-45.2.275 2021-12-26T14:23:04Z Extrapolating biosphere-atmosphere CO2 flux observations to larger scales in space, part of the so-called “upscaling” problem, is a central challenge for surface-atmosphere exchange research. Upscaling CO2 flux in tundra is complicated by the pronounced spatial variability of vegetation cover. We demonstrate that a simple model based on chamber observations with a pan-Arctic parameterization accurately describes up to 75% of the observed temporal variability of eddy covariance—measured net ecosystem exchange (NEE) during the growing season in an Abisko, Sweden, subarctic tundra ecosystem, and differed from NEE observations by less than 4% for the month of June. These results contrast with previous studies that found a 60% discrepancy between upscaled chamber and eddy covariance NEE sums. Sampling an aircraft-measured normalized difference vegetation index (NDVI) map for leaf area index (L) estimates using a dynamic flux footprint model explained less of the variability of NEE across the late June to mid-September period, but resulted in a lower root mean squared error and better replicated large flux events. Findings suggest that ecosystem structure via L is a critical input for modeling CO2 flux in tundra during the growing season. Future research should focus on quantifying microclimate, namely photosynthetically active radiation and air temperature, as well as ecosystem structure via L, to accurately model growing season tundra CO2 flux at chamber and plot scales. Article in Journal/Newspaper Abisko Antarctic and Alpine Research Arctic Subarctic Tundra University of St Andrews: Research Portal Abisko ENVELOPE(18.829,18.829,68.349,68.349) Arctic Arctic, Antarctic, and Alpine Research 45 2 275 284 |
institution |
Open Polar |
collection |
University of St Andrews: Research Portal |
op_collection_id |
ftunstandrewcris |
language |
English |
description |
Extrapolating biosphere-atmosphere CO2 flux observations to larger scales in space, part of the so-called “upscaling” problem, is a central challenge for surface-atmosphere exchange research. Upscaling CO2 flux in tundra is complicated by the pronounced spatial variability of vegetation cover. We demonstrate that a simple model based on chamber observations with a pan-Arctic parameterization accurately describes up to 75% of the observed temporal variability of eddy covariance—measured net ecosystem exchange (NEE) during the growing season in an Abisko, Sweden, subarctic tundra ecosystem, and differed from NEE observations by less than 4% for the month of June. These results contrast with previous studies that found a 60% discrepancy between upscaled chamber and eddy covariance NEE sums. Sampling an aircraft-measured normalized difference vegetation index (NDVI) map for leaf area index (L) estimates using a dynamic flux footprint model explained less of the variability of NEE across the late June to mid-September period, but resulted in a lower root mean squared error and better replicated large flux events. Findings suggest that ecosystem structure via L is a critical input for modeling CO2 flux in tundra during the growing season. Future research should focus on quantifying microclimate, namely photosynthetically active radiation and air temperature, as well as ecosystem structure via L, to accurately model growing season tundra CO2 flux at chamber and plot scales. |
format |
Article in Journal/Newspaper |
author |
Stoy, Paul C. Williams, Mathew Evans, Jonathan G. Prieto-Blanco, Ana Disney, Mathias Hill, Timothy Charles Ward, Helen C. Wade, Thomas J. Street, Lorna E. |
spellingShingle |
Stoy, Paul C. Williams, Mathew Evans, Jonathan G. Prieto-Blanco, Ana Disney, Mathias Hill, Timothy Charles Ward, Helen C. Wade, Thomas J. Street, Lorna E. Upscaling Tundra CO 2 Exchange from Chamber to Eddy Covariance Tower |
author_facet |
Stoy, Paul C. Williams, Mathew Evans, Jonathan G. Prieto-Blanco, Ana Disney, Mathias Hill, Timothy Charles Ward, Helen C. Wade, Thomas J. Street, Lorna E. |
author_sort |
Stoy, Paul C. |
title |
Upscaling Tundra CO 2 Exchange from Chamber to Eddy Covariance Tower |
title_short |
Upscaling Tundra CO 2 Exchange from Chamber to Eddy Covariance Tower |
title_full |
Upscaling Tundra CO 2 Exchange from Chamber to Eddy Covariance Tower |
title_fullStr |
Upscaling Tundra CO 2 Exchange from Chamber to Eddy Covariance Tower |
title_full_unstemmed |
Upscaling Tundra CO 2 Exchange from Chamber to Eddy Covariance Tower |
title_sort |
upscaling tundra co 2 exchange from chamber to eddy covariance tower |
publishDate |
2013 |
url |
https://risweb.st-andrews.ac.uk/portal/en/researchoutput/upscaling-tundra-co2-exchange-from-chamber-to-eddy-covariance-tower(765ebf71-1593-4525-b27e-07e54893e4ca).html https://doi.org/10.1657/1938-4246-45.2.275 |
long_lat |
ENVELOPE(18.829,18.829,68.349,68.349) |
geographic |
Abisko Arctic |
geographic_facet |
Abisko Arctic |
genre |
Abisko Antarctic and Alpine Research Arctic Subarctic Tundra |
genre_facet |
Abisko Antarctic and Alpine Research Arctic Subarctic Tundra |
op_source |
Stoy , P C , Williams , M , Evans , J G , Prieto-Blanco , A , Disney , M , Hill , T C , Ward , H C , Wade , T J & Street , L E 2013 , ' Upscaling Tundra CO 2 Exchange from Chamber to Eddy Covariance Tower ' , Artic Antarctic and Alpine Research , vol. 45 , no. 2 , pp. 275-284 . https://doi.org/10.1657/1938-4246-45.2.275 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1657/1938-4246-45.2.275 |
container_title |
Arctic, Antarctic, and Alpine Research |
container_volume |
45 |
container_issue |
2 |
container_start_page |
275 |
op_container_end_page |
284 |
_version_ |
1766084251133935616 |