Article (Scientific journals)
Estimating nocturnal ecosystem respiration from the vertical turbulent flux and change in storage of CO2
van Gorsel, Eva; Delpierre, Nicolas; Leuning, Ray et al.
2009In Agricultural and Forest Meteorology, 149 (11), p. 1919-1930
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Keywords :
Ecosystem respiration; Micrometeorology; Advection; u-star correction; Eddy covariance; Chamber; Process-based modelling
Abstract :
[en] Micrometeorological measurements of night time ecosystem respiration can be systematically biased when stable atmospheric conditions lead to drainage flows associated with decoupling of air flow above and within plant canopies. The associated horizontal and vertical advective fluxes cannot be measured using instrumentation on the single towers typically used at micrometeorological sites. A common approach to minimize bias is to use a threshold in friction velocity, u*, to exclude periods when advection is assumed to be important, but this is problematic in situations when in-canopy flows are decoupled from the flow above. Using data from 25 flux stations in a wide variety of forest ecosystems globally, we examine the generality of a novel approach to estimating nocturnal respiration developed by van Gorsel et al. (van Gorsel, E., Leuning, R., Cleugh, H.A., Keith, H., Suni, T., 2007. Nocturnal carbon efflux: reconciliation of eddy covariance and chamber measurements using an alternative to the u*-threshold filtering technique. Tellus 59B, 397-403, Tellus, 59B, 307-403). The approach is based on the assumption that advection is small relative to the vertical turbulent flux (F-C) and change in storage (F-S) of CO2 in the few hours after sundown. The sum of F-C and F-S reach a maximum during this period which is used to derive a temperature response function for ecosystem respiration. Measured hourly soil temperatures are then used with this function to estimate respiration R-Rmax. The new approach yielded excellent agreement with (1) independent measurements using respiration chambers, (2) with estimates using ecosystem light-response curves of F-c + F-s extrapolated to zero light, R-LRC, and (3) with a detailed process-based forest ecosystem model, R-cast. At most sites respiration rates estimated using the u*-filter, R-ust, were smaller than R-Rmax, and R-LRC. Agreement of our approach with independent measurements indicates that R-Rmax, provides an excellent estimate of nighttime ecosystem respiration. (C) 2009 Elsevier B.V. All rights reserved.
Disciplines :
Earth sciences & physical geography
Agriculture & agronomy
Phytobiology (plant sciences, forestry, mycology...)
Author, co-author :
van Gorsel, Eva
Delpierre, Nicolas
Leuning, Ray
Black, Andy
Munger, J William
Wofsy, Steven
Aubinet, Marc ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech
Feigenwinter, Christian;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Physique des Biosystèmes
Beringer, Jason
Bonal, Damien
Chen, Baozhang
Chen, Jiquan
Clement, Robert
Davis, Kenneth J
Desai, Ankur R
Dragoni, Danilo
Etzold, Sophia
Gruenwald, Thomas
Gu, Lianhong
Heinesch, Bernard  ;  Université de Liège - ULiège > Gembloux Agro-Bio Tech > Physique des Biosystèmes
Hutyra, Lucy R
Jans, Wilma W P
Kutsch, Werner
Law, B. E.
Leclerc, Monique Y.
Mammarella, Ivan
Montagnani, Leonardo
Noormets, Asko
Rebmann, Corinna
Wharton, Sonia
More authors (20 more) Less
Language :
English
Title :
Estimating nocturnal ecosystem respiration from the vertical turbulent flux and change in storage of CO2
Publication date :
2009
Journal title :
Agricultural and Forest Meteorology
ISSN :
0168-1923
eISSN :
1873-2240
Publisher :
Elsevier Science, Amsterdam, Netherlands
Volume :
149
Issue :
11
Pages :
1919-1930
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 11 December 2009

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