Simulation of CO2 and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model

Abdalla, Mohamed; Hastings, Astley; Bell, M. J.; Smith, Joanne Ursula; Richards, Mark; Nilsson, Mats; Peichl, Matthias; Löfvenius, Mikaell Ottosson; Lund, Magnus; Helfter, Carole; Nemitz, Eiko; Sutton, Mark A.; Aurela, Mika; Lohila, Annalea; Laurila, Tuomas; Dolman, A. J.; Marchesini, Luca Belelli; Pogson, Mark; Jones, Edward O.; Drewer, Julia; Drösler, Matthias; Smith, Pete

doi:10.1007/s11270-014-2182-8

Cited by 24 publications

(33 citation statements)

References 53 publications

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“…Abdalla et al . () applied the approach proposed by Hardie et al . () for peaty soils and reported a contribution of R h to R eco of 46–59%.…”

Section: Methodsmentioning

confidence: 97%

“…The EC measurements of NEE were used to derive R eco ; to our knowledge, only the study by Abdalla et al . () has reported estimates of R h from R eco . Abdalla et al .…”

Section: Methodsmentioning

confidence: 97%

“…Abdalla et al . () used these values to simulate R h from selected European peatland sites using a soil process‐based model, ECOSSE.…”

Section: Introductionmentioning

confidence: 99%

“…The ECOSSE model was developed mainly to simulate the C and nitrogen (N) cycles using minimal input data on both mineral and organic soils (Smith et al ., ,b). The ECOSSE model has been previously evaluated across the UK to simulate the effect on soil C of LUC to SRF (Dondini et al ., ), Miscanthus and SRC‐Willow (Dondini et al ., ), to simulate soil N 2 O emissions in cropland sites in Europe (Smith et al ., ; Bell et al ., ) and CO 2 emissions from peatlands (Abdalla et al ., ).…”

Section: Introductionmentioning

confidence: 99%

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Simulation of greenhouse gases following land‐use change to bioenergy crops using the ECOSSE model: a comparison between site measurements and model predictions

et al. 2015

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This article evaluates the suitability of the ECOSSE model to estimate soil greenhouse gas (GHG) fluxes from short rotation coppice willow (SRC-Willow), short rotation forestry (SRF-Scots Pine) and Miscanthus after landuse change from conventional systems (grassland and arable). We simulate heterotrophic respiration (R h ), nitrous oxide (N 2 O) and methane (CH 4 ) fluxes at four paired sites in the UK and compare them to estimates of R h derived from the ecosystem respiration estimated from eddy covariance (EC) and R h estimated from chamber (IRGA) measurements, as well as direct measurements of N 2 O and CH 4 fluxes. Significant association between modelled and EC-derived R h was found under Miscanthus, with correlation coefficient (r) ranging between 0.54 and 0.70. Association between IRGA-derived R h and modelled outputs was statistically significant at the Aberystwyth site (r = 0.64), but not significant at the Lincolnshire site (r = 0.29). At all SRC-Willow sites, significant association was found between modelled and measurement-derived R h (0.44 ≤ r ≤ 0.77); significant error was found only for the EC-derived R h at the Lincolnshire site. Significant association and no significant error were also found for SRF-Scots Pine and perennial grass. For the arable fields, the modelled CO 2 correlated well just with the IRGA-derived R h at one site (r = 0.75). No bias in the model was found at any site, regardless of the measurement type used for the model evaluation. Across all land uses, fluxes of CH 4 and N 2 O were shown to represent a small proportion of the total GHG balance; these fluxes have been modelled adequately on a monthly time-step. This study provides confidence in using ECOSSE for predicting the impacts of future land use on GHG balance, at site level as well as at national level.

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“…Abdalla et al . () applied the approach proposed by Hardie et al . () for peaty soils and reported a contribution of R h to R eco of 46–59%.…”

Section: Methodsmentioning

confidence: 97%

“…The EC measurements of NEE were used to derive R eco ; to our knowledge, only the study by Abdalla et al . () has reported estimates of R h from R eco . Abdalla et al .…”

Section: Methodsmentioning

confidence: 97%

“…Abdalla et al . () used these values to simulate R h from selected European peatland sites using a soil process‐based model, ECOSSE.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation of greenhouse gases following land‐use change to bioenergy crops using the ECOSSE model: a comparison between site measurements and model predictions

et al. 2015

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“…Some of these models even allow for a deconstruction of the ecosystem C balance into its components (Abdalla et al, 2014;Abrahamsen and Hansen, 2000;Huang et al, 2009). However, these models have rarely been designed or tested at the level of the above-mentioned CO 2 fluxes, being rather used to predict environmental or management impact on more integrating variables, such as plant biomass production, yield formation or net C stocks of soils (Jandl et al, 2014;Neill, 2011;Schmid et al, 2006;Smith et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Reproducing CO2 exchange rates of a crop rotation at contrasting terrain positions using two different modelling approaches

Specka

Nendel

Hagemann

et al. 2016

Soil and Tillage Research

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A coupled hydrology–biogeochemistry model to simulate dissolved organic carbon exports from a permafrost‐influenced catchment

Lessels

Tetzlaff

Carey

et al. 2015

Hydrological Processes

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Abstract:We outline the development of a simple, coupled hydrology-biogeochemistry model for simulating stream discharge and dissolved organic carbon (DOC) dynamics in data sparse, permafrost-influenced catchments with large stores of soil organic carbon. The model incorporates the influence of active layer dynamics and slope aspect on hydrological flowpaths and resulting DOC mobilization. Calibration and evaluation of the model was undertaken using observations from Granger Basin within the Wolf Creek research basin, Yukon, northern Canada. Results show that the model was able to capture the dominant hydrological response and DOC dynamics of the catchment reasonably well. Simulated DOC was highly correlated with observed DOC (r 2 = 0.65) for the study period. During the snowmelt period, the model adequately captured the observed dynamics, with simulations generally reflecting the timing and magnitude of the observed DOC and stream discharge. The model was less successful over the later summer period although this partly reflected a lack of DOC observations for calibration. The developed model offers a valuable framework for investigating the interactions between hydrological and DOC processes in these highly dynamic systems, where data acquisition is often very difficult.

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Simulation of CO2 and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model

Cited by 24 publications

References 53 publications

Simulation of greenhouse gases following land‐use change to bioenergy crops using the ECOSSE model: a comparison between site measurements and model predictions

Simulation of greenhouse gases following land‐use change to bioenergy crops using the ECOSSE model: a comparison between site measurements and model predictions

Reproducing CO2 exchange rates of a crop rotation at contrasting terrain positions using two different modelling approaches

A coupled hydrology–biogeochemistry model to simulate dissolved organic carbon exports from a permafrost‐influenced catchment

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