2014
DOI: 10.1016/j.agee.2014.01.014
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Comparative modeling of annual CO2 flux of temperate peat soils under permanent grassland management

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Cited by 38 publications
(34 citation statements)
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“…First, it is currently not clear whether microclimatological and ecophysiological disturbances due to chamber deployment, such as the alteration of temperature, humidity, pressure, radiation and gas concentration, may result in biased C flux rate estimates (Juszczak et al, 2013;Kutzbach et al, 2007;Lai et al, 2012;Langensiepen et al, 2012). Second, uncertainties related to performed flux separation and gap-filling procedures may influence the obtained annual gaseous C exchange (Gomez-Casanovas et al, 2013;Görres et al, 2014;Moffat et al, 2007;Reichstein et al, 2005). Although continuous operation of the AC system should allow for direct derivation of C budgets from measured CO 2 exchange and annual yields, in practice, data gaps always occur.…”
Section: Accuracy and Precision Of Applied Methodsmentioning
confidence: 99%
“…First, it is currently not clear whether microclimatological and ecophysiological disturbances due to chamber deployment, such as the alteration of temperature, humidity, pressure, radiation and gas concentration, may result in biased C flux rate estimates (Juszczak et al, 2013;Kutzbach et al, 2007;Lai et al, 2012;Langensiepen et al, 2012). Second, uncertainties related to performed flux separation and gap-filling procedures may influence the obtained annual gaseous C exchange (Gomez-Casanovas et al, 2013;Görres et al, 2014;Moffat et al, 2007;Reichstein et al, 2005). Although continuous operation of the AC system should allow for direct derivation of C budgets from measured CO 2 exchange and annual yields, in practice, data gaps always occur.…”
Section: Accuracy and Precision Of Applied Methodsmentioning
confidence: 99%
“…RVI was then calculated as (NIR r /NIR i )/(R r /R i ), where the subscripts i and r denote the incident and reflected radiation. RVI has previously been used as a useful predicting factor for modelling ecosystem respiration (ER) and CH 4 fluxes (Kandel et al, 2013a, b;Görres et al, 2014;Karki et al, 2014) RVI measurements were done on the same days as GHG sampling, except in winter, when the soil was covered with snow or frozen. The total above-ground dry biomass from each mesocosm was also determined after each harvest by oven-drying the plant material at 60 • C to constant weight.…”
Section: Biomass Measurementmentioning
confidence: 99%
“…A flux was accepted if the coefficient of determination (r 2 ) was at least 0.90. An exception was made in cases where the flux was close to zero (mainly in winter time where soil/plant processes are typically slower) and the r 2 is always low (Alm et al, 2007;Görres et al, 2014). In these cases (∼ 2 % of total fluxes) the flux data were examined graphically and fluxes with obvious non-linearity (due to chamber leakage, fan malfunction etc.)…”
Section: Greenhouse Gas Samplingmentioning
confidence: 99%