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Potentials and limitations for estimating daytime ecosystem respiration by combining tower-based remote sensing and carbon flux measurements

Potentials and limitations for estimating daytime ecosystem respiration by combining tower-based remote sensing and carbon flux measurements
Potentials and limitations for estimating daytime ecosystem respiration by combining tower-based remote sensing and carbon flux measurements
Vegetation carbon uptake and respiration constitute the largest carbon cycle of the planet with an annual turnover in the order of 120 GT. Currently, neither ecosystem carbon uptake (through photosynthesis) nor ecosystem carbon release (through respiration) can be measured directly during the daytime. Instead, flux-tower measurements rely on nighttime respiration based on the assumption of zero carbon uptake which are then projected to daytime using an exponential relationship to soil temperature at shallow soil depth. As an alternative to this approach, R could possibly also be determined from combining daytime eddy covariance measurements of net ecosystem production (NEP) and spectral observations of gross primary production (GPP). In previous work, we have shown that multi-angular observations can be used to determine GPP from the absorbed photosynthetically active radiation (APAR) and spectrally obtained observations of light-use efficiency (?). The difference of NEP and GPP suggests that daytime respiration is greater and more dynamic than conventional estimates derived from nighttime flux values. Our findings also suggest that an accelerated ecosystem metabolism results in an exponential increase in respiration which eventually diminishes net ecosystem production. Respiration was also closely related to air and soil temperature. We conclude that tower-level spectral measurements provide considerable new insights into ecosystem fluxes as they allow independent yet complementary measurements of different aspects of the carbon and energy cycle
Amspec, daytime fluxes, ecosystem carbon flux, ecosystem respiration, eddy-covariance, GPP, light-use efficiency, multi-angular remote sensing, Q10
0034-4257
44-52
Hilker, Thomas
c7fb75b8-320d-49df-84ba-96c9ee523d40
Hall, Forrest G.
19da6ee8-b54b-4eee-b5b6-e8e3a92f6bcf
Coops, Nicholas C.
5511e778-fec2-4f54-8708-de65ba5a0992
Black, Andrew T.
f5d633a8-a587-4119-aa20-de42ea524b98
Jassal, Rachhpal
63ff8738-34c9-47b6-98f0-fa96a177cbc3
Mathys, Amanda
49f92073-e4a3-499d-a28c-2e8dae12bf87
Grant, Nicholas
cb68df2e-c0eb-4ce7-968e-07d2713bacd9
Hilker, Thomas
c7fb75b8-320d-49df-84ba-96c9ee523d40
Hall, Forrest G.
19da6ee8-b54b-4eee-b5b6-e8e3a92f6bcf
Coops, Nicholas C.
5511e778-fec2-4f54-8708-de65ba5a0992
Black, Andrew T.
f5d633a8-a587-4119-aa20-de42ea524b98
Jassal, Rachhpal
63ff8738-34c9-47b6-98f0-fa96a177cbc3
Mathys, Amanda
49f92073-e4a3-499d-a28c-2e8dae12bf87
Grant, Nicholas
cb68df2e-c0eb-4ce7-968e-07d2713bacd9

Hilker, Thomas, Hall, Forrest G., Coops, Nicholas C., Black, Andrew T., Jassal, Rachhpal, Mathys, Amanda and Grant, Nicholas (2014) Potentials and limitations for estimating daytime ecosystem respiration by combining tower-based remote sensing and carbon flux measurements. Remote Sensing of Environment, 150, 44-52. (doi:10.1016/j.rse.2014.04.018).

Record type: Article

Abstract

Vegetation carbon uptake and respiration constitute the largest carbon cycle of the planet with an annual turnover in the order of 120 GT. Currently, neither ecosystem carbon uptake (through photosynthesis) nor ecosystem carbon release (through respiration) can be measured directly during the daytime. Instead, flux-tower measurements rely on nighttime respiration based on the assumption of zero carbon uptake which are then projected to daytime using an exponential relationship to soil temperature at shallow soil depth. As an alternative to this approach, R could possibly also be determined from combining daytime eddy covariance measurements of net ecosystem production (NEP) and spectral observations of gross primary production (GPP). In previous work, we have shown that multi-angular observations can be used to determine GPP from the absorbed photosynthetically active radiation (APAR) and spectrally obtained observations of light-use efficiency (?). The difference of NEP and GPP suggests that daytime respiration is greater and more dynamic than conventional estimates derived from nighttime flux values. Our findings also suggest that an accelerated ecosystem metabolism results in an exponential increase in respiration which eventually diminishes net ecosystem production. Respiration was also closely related to air and soil temperature. We conclude that tower-level spectral measurements provide considerable new insights into ecosystem fluxes as they allow independent yet complementary measurements of different aspects of the carbon and energy cycle

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More information

Accepted/In Press date: 10 April 2014
e-pub ahead of print date: 11 May 2014
Published date: July 2014
Keywords: Amspec, daytime fluxes, ecosystem carbon flux, ecosystem respiration, eddy-covariance, GPP, light-use efficiency, multi-angular remote sensing, Q10
Organisations: Geography & Environment

Identifiers

Local EPrints ID: 384682
URI: http://eprints.soton.ac.uk/id/eprint/384682
ISSN: 0034-4257
PURE UUID: 0a1b1220-7d88-47fd-86d7-b4c7de666617

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Date deposited: 13 Jan 2016 08:57
Last modified: 14 Mar 2024 22:02

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Contributors

Author: Thomas Hilker
Author: Forrest G. Hall
Author: Nicholas C. Coops
Author: Andrew T. Black
Author: Rachhpal Jassal
Author: Amanda Mathys
Author: Nicholas Grant

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