Comparing nocturnal eddy covariance measurements to estimates of ecosystem respiration made by scaling chamber measurements at six coniferous boreal sites

Lavigne, M. B.; Ryan, Michael G.; Anderson, Dean E.; Baldocchi, Dennis; Crill, Patrick; Fitzjarrald, David R.; Goulden, M.; Gower, Stith T.; Massheder, J. M.; McCaughey, J. H.; Rayment, Mark; Striegl, Robert G.

doi:10.1029/97jd01173

Cited by 300 publications

(252 citation statements)

References 33 publications

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“…Unfortunately, foliar and woody tissue respiration measurements have never been performed at Renon. But from Lavigne et al (1997), who studied ecosystem respiration rates at six coniferous BOREAS sites, the sum of respiration of foliage and wood are roughly equal to that of soil. From Montagnani et al (2009), there is some evidence that at night storage is negligible and turbulent flux, roughly speaking again, is about 3 µmol m -2 s -1 .…”

Section: Methodsology (Thin Line) and Montagnani Et Al (2009) Methodsmentioning

confidence: 99%

Application of a mass consistent flow model to study the CO2 mass balance of forests

Canepa

Georgieva

Manca

et al. 2010

Agricultural and Forest Meteorology

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The reconstruction of the wind field is one of the main issues in the mass conservation approach for calculation of CO 2 advection in forest ecosystems and still remains a challenging problem. In the current study, we present an advancement of this approach: the use of a mass consistent flow model (WINDS) which takes into account measured wind data and simulates the 3-D flow field, while imposing air mass conservation in the control volume. We apply the WINDS model to calculate half hourly mean total advective flux terms at the arboEurope-IP site of Renon (Bozen/Bolzano Autonomous Province), in Northern Italy. The data used refer to six time periods of one day representing three different meteorological conditions observed during the ADVEX campaign from April to September 2005. Current results are compared with results obtained in two other studies for the same time periods. One of these studies is based on the mass conservation approach as well, but applies only interpolations to reconstruct the wind field; the other study makes use of tilt correction (sectorwise planar fit method) for the vertical wind component. In the present study, the effect of the wind field reconstruction method on the estimation of the advective fluxes is discussed. The possibility of using reduced input wind data (i.e. number of towers) for WINDS is also investigated. The results suggest that the representativeness of wind tower measurements is of primary importance for estimating CO 2 advection terms and their uncertainty in complex terrain.

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Section: Methodsology (Thin Line) and Montagnani Et Al (2009) Methodsmentioning

confidence: 99%

Application of a mass consistent flow model to study the CO2 mass balance of forests

Canepa

Georgieva

Manca

et al. 2010

Agricultural and Forest Meteorology

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“…The more recent availability of automated soil respiration measurements now provides sub-hourly information to observe short-term variation in soil respiration. Over longer timescales (e.g., seasonal-interannual), these automated measurements allow for better estimates of the magnitude of soil respiration and can complement tower-based (i.e., eddy covariance) ecosystem (Lavigne et al 1997) and understory (Baldocchi and Meyers 1991) measurements for site-level C balance approximations. Thus, with automated soil respiration measurements we can observe temporal variability in soil respiration (i.e., hourly-interannual), and obtain high time resolution input parameters for models.…”

Section: Continuous Measurements Of Soil Respirationmentioning

confidence: 99%

Frontiers and challenges in soil respiration research: from measurements to model-data integration

et al. 2010

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Soil respiration, the flux of CO 2 from the soil to the atmosphere represents a major flux in the global carbon cycle. Our ability to predict this flux remains limited because of multiple controlling mechanisms that interact over different temporal and spatial scales. However, new advances in measurement and analyses present an opportunity for the scientific community to improve the understanding of the mechanisms that regulate soil respiration. In this paper, we address several recent advancements in soil respiration research from experimental measurements and data analysis to new considerations for modeldata integration. We focus on the links between the soil-plant-atmosphere continuum at short (i.e., diel) and medium (i.e., seasonal-years) temporal scales. First, we bring attention to the importance of identifying sources of soil CO 2 production and highlight the application of automated soil respiration measurements and isotope approaches. Second, we discuss the need of quality assurance and quality control for applications in time series analysis. Third, we review perspectives about emergent ideas for modeling development and model-data integration for soil respiration research. Finally, we call for stronger interactions between modelers and experimentalists as a way to improve our understanding of soil respiration and overall terrestrial carbon cycling.

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“…Eddy covariance measurements represent the entire ecosystem flux and chamber measurements just the soil flux. Studies comparing nocturnal CO 2 eddy flux with chamber measurements often report significant discrepancies of 20 to over 50 % (e.g., Goulden et al, 1996;Lavigne et al, 1997;Phillips et al, 2010). We did not expect exact agreement between eddy and chamber fluxes because of the mismatch in measurement footprints, but we expected to see fluxes of a comparable magnitude with similar diel patterns.…”

Section: Comparing Eddy Covariance and Chamber Co 2 Flux Measurementsmentioning

confidence: 80%

“…Chamber measurements overestimated CO 2 fluxes relative to NEE in the summer (26 % bias) and underestimated them in the winter (−50 % bias) ( Table 2). The summer bias estimate does not include respiration from canopy elements (woody tissue and foliage), which can contribute up to 50 % of the total ecosystem respiration, but usually less than 20 % Lavigne et al, 1997;Davidson et al, 2002). Therefore, summertime chamber plus canopy respiration was likely at least 46 % higher than the NEE estimates in the median.…”

Section: Comparing Eddy Covariance and Chamber Co 2 Flux Measurementsmentioning

confidence: 98%

Ecosystem fluxes of hydrogen: a comparison of flux-gradient methods

et al. 2014

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Abstract. Our understanding of biosphere-atmosphere exchange has been considerably enhanced by eddy covariance measurements. However, there remain many trace gases, such as molecular hydrogen (H 2 ), that lack suitable analytical methods to measure their fluxes by eddy covariance. In such cases, flux-gradient methods can be used to calculate ecosystem-scale fluxes from vertical concentration gradients. The budget of atmospheric H 2 is poorly constrained by the limited available observations, and thus the ability to quantify and characterize the sources and sinks of H 2 by fluxgradient methods in various ecosystems is important. We developed an approach to make nonintrusive, automated measurements of ecosystem-scale H 2 fluxes both above and below the forest canopy at the Harvard Forest in Petersham, Massachusetts, for over a year. We used three flux-gradient methods to calculate the fluxes: two similarity methods that do not rely on a micrometeorological determination of the eddy diffusivity, K, based on (1) trace gases or (2) sensible heat, and one flux-gradient method that (3) parameterizes K. We quantitatively assessed the flux-gradient methods using CO 2 and H 2 O by comparison to their simultaneous independent flux measurements via eddy covariance and soil chambers. All three flux-gradient methods performed well in certain locations, seasons, and times of day, and the best methods were trace gas similarity for above the canopy and K parameterization below it. Sensible heat similarity required several independent measurements, and the results were more variable, in part because those data were only available in the winter, when heat fluxes and temperature gradients were small and difficult to measure. Biases were often observed between flux-gradient methods and the independent flux measurements, and there was at least a 26 % difference in nocturnal eddy-derived net ecosystem exchange (NEE) and chamber measurements. H 2 fluxes calculated in a summer period agreed within their uncertainty and pointed to soil uptake as the main driver of H 2 exchange at Harvard Forest, with H 2 deposition velocities ranging from 0.04 to 0.10 cm s −1 .

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Comparing nocturnal eddy covariance measurements to estimates of ecosystem respiration made by scaling chamber measurements at six coniferous boreal sites

Cited by 300 publications

References 33 publications

Application of a mass consistent flow model to study the CO2 mass balance of forests

Application of a mass consistent flow model to study the CO2 mass balance of forests

Frontiers and challenges in soil respiration research: from measurements to model-data integration

Ecosystem fluxes of hydrogen: a comparison of flux-gradient methods

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