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

M. Abdalla, Astley Francis St John Hastings, M. J. Bell, J. U. Smith, M. Richards, M. B. Nilsson, M. Peichl, M. O. Lofvenius, M. Lund, C. Helfter, E. Nemitz, M. A. Sutton, M. Aurela, A. Lohila, T. Laurila, A. J. Dolman, L. Belelli-Marchesini, M. Pogson, E. Jones, J. Drewer & 2 others M. Drosler, P. Smith

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this study, we simulated heterotrophic CO2 (Rh) fluxes at six European peatland sites using the ECOSSE model and compared them to estimates of Rh made from eddy covariance (EC) measurements. The sites are spread over four countries with different climates, vegetation and management. Annual Rh from the different sites ranged from 110 to 540 g C m−2. The maximum annual Rh occurred when the water table (WT) level was between −10 and −25 cm and the air temperature was above 6.2 °C. The model successfully simulated seasonal trends for the majority of the sites. Regression relationships (r 2) between the EC-derived and simulated Rh ranged from 0.28 to 0.76, and the root mean square error and relative error were small, revealing an acceptable fit. The overall relative deviation value between annual EC-derived and simulated Rh was small (−1 %) and model efficiency ranges across sites from −0.25 to +0.41. Sensitivity analysis highlighted that increasing temperature, decreasing precipitation and lowering WT depth could significantly increase Rh from soils. Thus, management which lowers the WT could significantly increase anthropogenic CO2, so from a carbon emissions perspective, it should be avoided. The results presented here demonstrate a robust basis for further application of the ECOSSE model to assess the impacts of future land management interventions on peatland carbon emissions and to help guide best practice land management decisions.
Original languageEnglish
Article number2182
JournalWater, Air and Soil Pollution
Volume225
Early online date23 Oct 2014
DOIs
Publication statusPublished - Nov 2014

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peatland
eddy covariance
water table
carbon emission
land management
simulation
Water
Carbon
Mean square error
Sensitivity analysis
sensitivity analysis
air temperature
Fluxes
Soils
Temperature
analysis
vegetation
climate
Air
soil

Keywords

  • peatland
  • ECOSSE
  • heterotrophic
  • CO2
  • attribution analysis

Cite this

Simulation of CO2 and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model. / Abdalla, M.; Hastings, Astley Francis St John; Bell, M. J.; Smith, J. U.; Richards, M.; Nilsson, M. B.; Peichl, M.; Lofvenius, M. O.; Lund, M.; Helfter, C.; Nemitz, E.; Sutton, M. A.; Aurela, M.; Lohila, A.; Laurila, T.; Dolman, A. J.; Belelli-Marchesini, L.; Pogson, M.; Jones, E.; Drewer, J.; Drosler, M.; Smith, P.

In: Water, Air and Soil Pollution, Vol. 225, 2182, 11.2014.

Research output: Contribution to journalArticle

Abdalla, M, Hastings, AFSJ, Bell, MJ, Smith, JU, Richards, M, Nilsson, MB, Peichl, M, Lofvenius, MO, Lund, M, Helfter, C, Nemitz, E, Sutton, MA, Aurela, M, Lohila, A, Laurila, T, Dolman, AJ, Belelli-Marchesini, L, Pogson, M, Jones, E, Drewer, J, Drosler, M & Smith, P 2014, 'Simulation of CO2 and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model', Water, Air and Soil Pollution, vol. 225, 2182. https://doi.org/10.1007/s11270-014-2182-8
Abdalla, M. ; Hastings, Astley Francis St John ; Bell, M. J. ; Smith, J. U. ; Richards, M. ; Nilsson, M. B. ; Peichl, M. ; Lofvenius, M. O. ; Lund, M. ; Helfter, C. ; Nemitz, E. ; Sutton, M. A. ; Aurela, M. ; Lohila, A. ; Laurila, T. ; Dolman, A. J. ; Belelli-Marchesini, L. ; Pogson, M. ; Jones, E. ; Drewer, J. ; Drosler, M. ; Smith, P. / Simulation of CO2 and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model. In: Water, Air and Soil Pollution. 2014 ; Vol. 225.
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title = "Simulation of CO2 and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model",
abstract = "In this study, we simulated heterotrophic CO2 (Rh) fluxes at six European peatland sites using the ECOSSE model and compared them to estimates of Rh made from eddy covariance (EC) measurements. The sites are spread over four countries with different climates, vegetation and management. Annual Rh from the different sites ranged from 110 to 540 g C m−2. The maximum annual Rh occurred when the water table (WT) level was between −10 and −25 cm and the air temperature was above 6.2 °C. The model successfully simulated seasonal trends for the majority of the sites. Regression relationships (r 2) between the EC-derived and simulated Rh ranged from 0.28 to 0.76, and the root mean square error and relative error were small, revealing an acceptable fit. The overall relative deviation value between annual EC-derived and simulated Rh was small (−1 {\%}) and model efficiency ranges across sites from −0.25 to +0.41. Sensitivity analysis highlighted that increasing temperature, decreasing precipitation and lowering WT depth could significantly increase Rh from soils. Thus, management which lowers the WT could significantly increase anthropogenic CO2, so from a carbon emissions perspective, it should be avoided. The results presented here demonstrate a robust basis for further application of the ECOSSE model to assess the impacts of future land management interventions on peatland carbon emissions and to help guide best practice land management decisions.",
keywords = "peatland, ECOSSE , heterotrophic , CO2 , attribution analysis",
author = "M. Abdalla and Hastings, {Astley Francis St John} and Bell, {M. J.} and Smith, {J. U.} and M. Richards and Nilsson, {M. B.} and M. Peichl and Lofvenius, {M. O.} and M. Lund and C. Helfter and E. Nemitz and Sutton, {M. A.} and M. Aurela and A. Lohila and T. Laurila and Dolman, {A. J.} and L. Belelli-Marchesini and M. Pogson and E. Jones and J. Drewer and M. Drosler and P. Smith",
note = "Acknowledgments This work was supported by a grant from the European Union (GHG-Europe project). Measurements at Auchencorth Moss were further supported by the European Projects CarboEurope, NitroEurope and {\'E}CLAIRE. Measurements at F{\"a}jemyr were supported by NECC, a Nordic centre of excellence, and LUCCI, financed by Swedish research council VR. Measurements at Deger{\"o} Stormyr were supported by NECC, a Nordic centre of excellence, FORMAS research council and Kempe Foundation.",
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T1 - Simulation of CO2 and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model

AU - Abdalla, M.

AU - Hastings, Astley Francis St John

AU - Bell, M. J.

AU - Smith, J. U.

AU - Richards, M.

AU - Nilsson, M. B.

AU - Peichl, M.

AU - Lofvenius, M. O.

AU - Lund, M.

AU - Helfter, C.

AU - Nemitz, E.

AU - Sutton, M. A.

AU - Aurela, M.

AU - Lohila, A.

AU - Laurila, T.

AU - Dolman, A. J.

AU - Belelli-Marchesini, L.

AU - Pogson, M.

AU - Jones, E.

AU - Drewer, J.

AU - Drosler, M.

AU - Smith, P.

N1 - Acknowledgments This work was supported by a grant from the European Union (GHG-Europe project). Measurements at Auchencorth Moss were further supported by the European Projects CarboEurope, NitroEurope and ÉCLAIRE. Measurements at Fäjemyr were supported by NECC, a Nordic centre of excellence, and LUCCI, financed by Swedish research council VR. Measurements at Degerö Stormyr were supported by NECC, a Nordic centre of excellence, FORMAS research council and Kempe Foundation.

PY - 2014/11

Y1 - 2014/11

N2 - In this study, we simulated heterotrophic CO2 (Rh) fluxes at six European peatland sites using the ECOSSE model and compared them to estimates of Rh made from eddy covariance (EC) measurements. The sites are spread over four countries with different climates, vegetation and management. Annual Rh from the different sites ranged from 110 to 540 g C m−2. The maximum annual Rh occurred when the water table (WT) level was between −10 and −25 cm and the air temperature was above 6.2 °C. The model successfully simulated seasonal trends for the majority of the sites. Regression relationships (r 2) between the EC-derived and simulated Rh ranged from 0.28 to 0.76, and the root mean square error and relative error were small, revealing an acceptable fit. The overall relative deviation value between annual EC-derived and simulated Rh was small (−1 %) and model efficiency ranges across sites from −0.25 to +0.41. Sensitivity analysis highlighted that increasing temperature, decreasing precipitation and lowering WT depth could significantly increase Rh from soils. Thus, management which lowers the WT could significantly increase anthropogenic CO2, so from a carbon emissions perspective, it should be avoided. The results presented here demonstrate a robust basis for further application of the ECOSSE model to assess the impacts of future land management interventions on peatland carbon emissions and to help guide best practice land management decisions.

AB - In this study, we simulated heterotrophic CO2 (Rh) fluxes at six European peatland sites using the ECOSSE model and compared them to estimates of Rh made from eddy covariance (EC) measurements. The sites are spread over four countries with different climates, vegetation and management. Annual Rh from the different sites ranged from 110 to 540 g C m−2. The maximum annual Rh occurred when the water table (WT) level was between −10 and −25 cm and the air temperature was above 6.2 °C. The model successfully simulated seasonal trends for the majority of the sites. Regression relationships (r 2) between the EC-derived and simulated Rh ranged from 0.28 to 0.76, and the root mean square error and relative error were small, revealing an acceptable fit. The overall relative deviation value between annual EC-derived and simulated Rh was small (−1 %) and model efficiency ranges across sites from −0.25 to +0.41. Sensitivity analysis highlighted that increasing temperature, decreasing precipitation and lowering WT depth could significantly increase Rh from soils. Thus, management which lowers the WT could significantly increase anthropogenic CO2, so from a carbon emissions perspective, it should be avoided. The results presented here demonstrate a robust basis for further application of the ECOSSE model to assess the impacts of future land management interventions on peatland carbon emissions and to help guide best practice land management decisions.

KW - peatland

KW - ECOSSE

KW - heterotrophic

KW - CO2

KW - attribution analysis

U2 - 10.1007/s11270-014-2182-8

DO - 10.1007/s11270-014-2182-8

M3 - Article

VL - 225

JO - Water, Air and Soil Pollution

JF - Water, Air and Soil Pollution

SN - 0049-6979

M1 - 2182

ER -