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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

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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. / Dondini, Marta; Richards, Mark I. A.; Pogson, Mark et al.
In: GCB Bioenergy, Vol. 8, No. 5, 2016, p. 925-940.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Dondini, M, Richards, MIA, Pogson, M, McCalmont, J, Drewer, J, Marshall, R, Morrison, R, Yamulki, S, Harris, ZM, Alberti, G, Siebicke, L, Taylor, G, Perks, M, Finch, J, McNamara, N, Smith, JU & Smith, P 2016, 'Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model. a comparison between site measurements and model predictions', GCB Bioenergy, vol. 8, no. 5, pp. 925-940. https://doi.org/10.1111/gcbb.12298

APA

Dondini, M., Richards, M. I. A., Pogson, M., McCalmont, J., Drewer, J., Marshall, R., Morrison, R., Yamulki, S., Harris, Z. M., Alberti, G., Siebicke, L., Taylor, G., Perks, M., Finch, J., McNamara, N., Smith, J. U., & Smith, P. (2016). Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model. a comparison between site measurements and model predictions. GCB Bioenergy, 8(5), 925-940. https://doi.org/10.1111/gcbb.12298

Vancouver

Dondini M, Richards MIA, Pogson M, McCalmont J, Drewer J, Marshall R et al. Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model. a comparison between site measurements and model predictions. GCB Bioenergy. 2016;8(5):925-940. doi: 10.1111/gcbb.12298

Author

Dondini, Marta ; Richards, Mark I. A. ; Pogson, Mark et al. / Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model. a comparison between site measurements and model predictions. In: GCB Bioenergy. 2016 ; Vol. 8, No. 5. pp. 925-940.

Bibtex

@article{ba415bb7caf74b27a9f532346ef55a98,
title = "Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model.: a comparison between site measurements and model predictions",
abstract = "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 land‐use change from conventional systems (grassland and arable). We simulate heterotrophic respiration (Rh), nitrous oxide (N2O) and methane (CH4) fluxes at four paired sites in the UK and compare them to estimates of Rh derived from the ecosystem respiration estimated from eddy covariance (EC) and Rh estimated from chamber (IRGA) measurements, as well as direct measurements of N2O and CH4 fluxes. Significant association between modelled and EC‐derived Rh was found under Miscanthus, with correlation coefficient (r) ranging between 0.54 and 0.70. Association between IRGA‐derived Rh 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 Rh (0.44 ≤ r ≤ 0.77); significant error was found only for the EC‐derived Rh 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 CO2 correlated well just with the IRGA‐derived Rh 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 CH4 and N2O 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.",
keywords = "ECOSSE model, energy crops, greenhouse gases, land-use change, Miscanthus, short rotation coppice, short rotation forestry",
author = "Marta Dondini and Richards, {Mark I. A.} and Mark Pogson and Jon McCalmont and Julia Drewer and Rachel Marshall and Ross Morrison and Sirwan Yamulki and Harris, {Zoe M.} and Giorgio Alberti and Lukas Siebicke and Gail Taylor and Mike Perks and Jon Finch and Niall McNamara and Smith, {Joanne U.} and Pete Smith",
year = "2016",
doi = "10.1111/gcbb.12298",
language = "English",
volume = "8",
pages = "925--940",
journal = "GCB Bioenergy",
issn = "1757-1693",
publisher = "Blackwell Publishing Ltd",
number = "5",

}

RIS

TY - JOUR

T1 - Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model.

T2 - a comparison between site measurements and model predictions

AU - Dondini, Marta

AU - Richards, Mark I. A.

AU - Pogson, Mark

AU - McCalmont, Jon

AU - Drewer, Julia

AU - Marshall, Rachel

AU - Morrison, Ross

AU - Yamulki, Sirwan

AU - Harris, Zoe M.

AU - Alberti, Giorgio

AU - Siebicke, Lukas

AU - Taylor, Gail

AU - Perks, Mike

AU - Finch, Jon

AU - McNamara, Niall

AU - Smith, Joanne U.

AU - Smith, Pete

PY - 2016

Y1 - 2016

N2 - 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 land‐use change from conventional systems (grassland and arable). We simulate heterotrophic respiration (Rh), nitrous oxide (N2O) and methane (CH4) fluxes at four paired sites in the UK and compare them to estimates of Rh derived from the ecosystem respiration estimated from eddy covariance (EC) and Rh estimated from chamber (IRGA) measurements, as well as direct measurements of N2O and CH4 fluxes. Significant association between modelled and EC‐derived Rh was found under Miscanthus, with correlation coefficient (r) ranging between 0.54 and 0.70. Association between IRGA‐derived Rh 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 Rh (0.44 ≤ r ≤ 0.77); significant error was found only for the EC‐derived Rh 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 CO2 correlated well just with the IRGA‐derived Rh 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 CH4 and N2O 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.

AB - 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 land‐use change from conventional systems (grassland and arable). We simulate heterotrophic respiration (Rh), nitrous oxide (N2O) and methane (CH4) fluxes at four paired sites in the UK and compare them to estimates of Rh derived from the ecosystem respiration estimated from eddy covariance (EC) and Rh estimated from chamber (IRGA) measurements, as well as direct measurements of N2O and CH4 fluxes. Significant association between modelled and EC‐derived Rh was found under Miscanthus, with correlation coefficient (r) ranging between 0.54 and 0.70. Association between IRGA‐derived Rh 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 Rh (0.44 ≤ r ≤ 0.77); significant error was found only for the EC‐derived Rh 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 CO2 correlated well just with the IRGA‐derived Rh 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 CH4 and N2O 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.

KW - ECOSSE model

KW - energy crops

KW - greenhouse gases

KW - land-use change

KW - Miscanthus

KW - short rotation coppice

KW - short rotation forestry

U2 - 10.1111/gcbb.12298

DO - 10.1111/gcbb.12298

M3 - Journal article

VL - 8

SP - 925

EP - 940

JO - GCB Bioenergy

JF - GCB Bioenergy

SN - 1757-1693

IS - 5

ER -