Net ecosystem CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; exchange measurements by the closed chamber method and the eddy covariance technique and their dependence on atmospheric conditions

Riederer, Michael; Serafimovich, Andrei; Foken, Thomas

doi:10.5194/amt-7-1057-2014

Cited by 55 publications

(45 citation statements)

References 51 publications

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“…Conversely, closed chamber measurements may increase spatial representativeness of plant communities to a degree but can have a reduced temporal coverage in comparison to tower measurements (Stoy et al, ). It is well documented that measured CO 2 flux estimates vary depending on the method employed (Björkmanet al, ; Oechel et al, ; Riedereret al, ). Thus, it is often important, if possible, to combine both techniques, as the information gained from each technique is complimentary and essential for understanding spatial and temporal patterns in fluxes.…”

Section: Introductionmentioning

confidence: 99%

Temperature Response of Respiration Across the Heterogeneous Landscape of the Alaskan Arctic Tundra

et al. 2018

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Predictions of the response of ecosystem respiration to warming in the Arctic are not well constrained, partly due to the considerable spatial heterogeneity of these permafrost-dominated areas. Accurate calculations of in situ temperature sensitivities of respiration (Q 10 ) are vital for the prediction of future Arctic emissions. To understand the impact of spatial heterogeneity on respiration rates and Q 10 , we compared respiration measured from automated chambers across the main local polygonized landscape forms (high and low centers, polygon rims, polygon troughs) to estimates from the flux-partitioned net ecosystem exchange collected in an adjacent eddy covariance tower. Microtopographic type appears to be the most important variable explaining the variability in respiration rates, and low-center polygons and polygon troughs show the greatest cumulative respiration rates, possibly linked to their deeper thaw depth and higher plant biomass. Regardless of the differences in absolute respiration rates, Q 10 is surprisingly similar across all microtopographic features, possibly indicating a similar temperature limitation to decomposition across the landscape. Q 10 was higher during the colder early summer and lower during the warmer peak growing season, consistent with an elevated temperature sensitivity under colder conditions. The respiration measured by the chambers and the estimates from the daytime flux-partitioned eddy covariance data were within uncertainties during early and peak seasons but overestimated respiration later in the growing season. Overall, this study suggests that it is possible to simplify estimates of the temperature sensitivity of respiration across heterogeneous landscapes but that seasonal changes in Q 10 should be incorporated into model simulations.

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Section: Introductionmentioning

confidence: 99%

Temperature Response of Respiration Across the Heterogeneous Landscape of the Alaskan Arctic Tundra

et al. 2018

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“…Closed chambers completely cover the ecosystem during the measurement process and thereby alter the natural long-wave radiation balance to almost zero. This causes reduced surface cooling, weak development of stable stratification, and, finally, higher respiration than those obtained via eddy covariance measurements [76]. Secondly, our annual average ecosystem respiration estimates based on chamber measurements may have uncertainties.…”

Section: Discussionmentioning

confidence: 91%

Biometric and Eddy Covariance Methods for Examining the Carbon Balance of a Larix principis-rupprechtii Forest in the Qinling Mountains, China

Yuan

Jose

et al. 2018

Forests

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Abstract:The carbon balance of forests is controlled by many component processes of carbon acquisition and carbon loss and depends on the age of vegetation, soils, species composition, and the local climate. Thus, examining the carbon balance of different forests around the world is necessary to understand the global carbon balance. Nevertheless, the available information on the carbon balance of Larix principis-rupprechtii forests in the Qinling Mountains remains considerably limited. We provide the first set of results (2010-2013) from a long-term project measuring forest-atmosphere exchanges of CO 2 at the Qinling National Forest Ecosystem Research Station (QNFERS), and compare the net ecosystem exchange (NEE) based on biometric measurements with those observed via the eddy covariance method. We also compare the total ecosystem respiration via scaled-up chamber and eddy covariance measurements. The net primary productivity (NPP) was 817.16 ± 81.48 g·C·m −2 ·y −1 , of which ∆B living and D total accounted for 77.7%, and 22.3%, respectively. Total ecosystem respiration was 814.47 ± 64.22 g·C·m −2 ·y −1 , and cumulative annual soil respiration, coarse woody debris respiration, stem respiration, and leaf respiration were 715.47 ± 28.48, 15.41 ± 1.72, 35.28 ± 4.78, and 48.31 ± 5.24 g·C·m −2 ·y −1 , respectively, accounting for 87.85%, 1.89%, 4.33%, and 5.93% of the total ecosystem respiration. A comparison between ecosystem respiration from chamber measurements and that from eddy covariance measurements showed a strong linear correlation between the two methods (R 2 = 0.93). The NEE of CO 2 between forests and the atmosphere measured by eddy covariance was −288.33 ± 25.26 g·C·m −2 ·y −1 , which revealed a carbon sink in the L. principis-rupprechtii forest. This number was 14% higher than the result from the biometric measurements (−336.71 ± 25.15 g·C·m −2 ·y −1 ). The study findings provided a cross-validation of the CO 2 exchange measured via biometric and eddy covariance, which are beneficial for obtaining the true ecosystem fluxes, and more accurately evaluating carbon budgets.

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“…Also, given uncertainties regarding determination of respiration, characteristics need to be further investigated. Chamber measurements require detailed consideration of atmospheric conditions (Riederer et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Prerequisites for application of hyperbolic relaxed eddy accumulation on managed grasslands and alternative net ecosystem exchange flux partitioning

et al. 2014

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Abstract.Relaxed eddy accumulation is still applied in ecosystem sciences for measuring trace gas fluxes. On managed grasslands, the length of time between management events and the application of relaxed eddy accumulation has an essential influence on the determination of the proportionality factor b and thus on the resulting flux. In this study this effect is discussed for the first time. Also, scalar similarity between proxy scalars and scalars of interest is affected until the ecosystem has completely recovered. Against this background, CO 2 fluxes were continuously measured and 13 CO 2 isofluxes were determined with a high measurement precision on two representative days in summer 2010.Moreover, a common method for the partitioning of the net ecosystem exchange into assimilation and respiration based on temperature and light response was compared with an isotopic approach directly based on the isotope discrimination of the biosphere. This approach worked well on the grassland site and could enhance flux partitioning results by better reproducing the environmental conditions.

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Net ecosystem CO<sub>2</sub> exchange measurements by the closed chamber method and the eddy covariance technique and their dependence on atmospheric conditions

Cited by 55 publications

References 51 publications

Temperature Response of Respiration Across the Heterogeneous Landscape of the Alaskan Arctic Tundra

Temperature Response of Respiration Across the Heterogeneous Landscape of the Alaskan Arctic Tundra

Biometric and Eddy Covariance Methods for Examining the Carbon Balance of a Larix principis-rupprechtii Forest in the Qinling Mountains, China

Prerequisites for application of hyperbolic relaxed eddy accumulation on managed grasslands and alternative net ecosystem exchange flux partitioning

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