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The technical potential of Great Britain to produce ligno cellulosic biomass for bioenergy in current and future climates

The technical potential of Great Britain to produce ligno cellulosic biomass for bioenergy in current and future climates
The technical potential of Great Britain to produce ligno cellulosic biomass for bioenergy in current and future climates
Process and empirical-based models that describe lignocellulosic biomass yield of the perennial energy grass Miscanthus (MiscanFor©), short rotation coppice (SRC) trees and shrubs, poplar and willow (ForestGrowth-SRC) and a number of short rotation forest trees (ESC-CARBINE), were used to estimate the yield potential for current and future climates across Great Britain (GB). In current climates, modelled yields for all feedstock crops varied between 8.1 and 10.6 Mg dry weight (DW) ha?1 yr?1 with willow SRC and poplar SRF producing the lowest and highest yields respectively. For the medium emissions scenario (UKCP09) in 2050, mean yield for all feedstock crops varied between 7.6 and 12.7 Mg DW ha?1 yr?1 with willow SRC and poplar SRF once again the lowest and the highest recorded yields. There were clear geographical trends within GB. Miscanthus yield was higher than all others in the south-west (13.1 Mg DW ha?1 yr?1), SRC willow and SRC poplar in the north-west (12.1–15.8 Mg DW ha?1 yr?1) and in the midlands and south-east, SRF poplar was the highest yielding (10.5–11.6 Mg DW ha?1 yr?1). These geographical trends changed little with climate out to 2050, with mean yield of each ‘best feedstock’ increasing from 12.7 to 14.2 Mg DW ha?1 yr?1. Out to 2050, SRC declined slightly and Miscanthus and SRF poplar increased as the ‘best feedstock’ option. Except for a few localized examples, only SRF poplar had a higher yield than SRC or Miscanthus. These data suggest that in current and future climates, lignocellulosic biomass plantation species can be selected and optimized for best yield performance in different regions of GB. This modelling framework provides a valuable starting-point for which to test the performance of new genetic material, as this becomes available and parameterized for the models and socio-economic scenarios that may impact on the bioenergy industry.
climate change scenarios, ESC-CARBINE, ForestGrowth-SRC, MiscanFor©, miscanthus, renewable energy, short rotation coppice, short rotation forestry, supply chain, yield, yield models
1757-1693
108-122
Hastings, Astley
6ce7681f-42ba-4778-9843-b47da761edb5
Tallis, M.J.
25cbd143-1f8c-491b-9eac-f1c632dfcfda
Casella, Eric
3a60adce-ddba-4e72-97e2-5ca161f32954
Matthews, Robert W.
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Henshall, Paul A.
28c4b390-4a4a-47c2-b73d-ffb3a61285e4
Milner, Suzanne
a15abb03-301b-42c6-a2e8-e932828b83a6
Smith, Pete
a8a5c7c1-faf6-4b75-b125-ec8c73d104a2
Taylor, Gail
Hastings, Astley
6ce7681f-42ba-4778-9843-b47da761edb5
Tallis, M.J.
25cbd143-1f8c-491b-9eac-f1c632dfcfda
Casella, Eric
3a60adce-ddba-4e72-97e2-5ca161f32954
Matthews, Robert W.
b95b08fb-44c4-4347-a059-908d9b9d80b2
Henshall, Paul A.
28c4b390-4a4a-47c2-b73d-ffb3a61285e4
Milner, Suzanne
a15abb03-301b-42c6-a2e8-e932828b83a6
Smith, Pete
a8a5c7c1-faf6-4b75-b125-ec8c73d104a2
Taylor, Gail

Hastings, Astley, Tallis, M.J., Casella, Eric, Matthews, Robert W., Henshall, Paul A., Milner, Suzanne, Smith, Pete and Taylor, Gail (2014) The technical potential of Great Britain to produce ligno cellulosic biomass for bioenergy in current and future climates. GCB Bioenergy, 6 (2), 108-122. (doi:10.1111/gcbb.12103).

Record type: Article

Abstract

Process and empirical-based models that describe lignocellulosic biomass yield of the perennial energy grass Miscanthus (MiscanFor©), short rotation coppice (SRC) trees and shrubs, poplar and willow (ForestGrowth-SRC) and a number of short rotation forest trees (ESC-CARBINE), were used to estimate the yield potential for current and future climates across Great Britain (GB). In current climates, modelled yields for all feedstock crops varied between 8.1 and 10.6 Mg dry weight (DW) ha?1 yr?1 with willow SRC and poplar SRF producing the lowest and highest yields respectively. For the medium emissions scenario (UKCP09) in 2050, mean yield for all feedstock crops varied between 7.6 and 12.7 Mg DW ha?1 yr?1 with willow SRC and poplar SRF once again the lowest and the highest recorded yields. There were clear geographical trends within GB. Miscanthus yield was higher than all others in the south-west (13.1 Mg DW ha?1 yr?1), SRC willow and SRC poplar in the north-west (12.1–15.8 Mg DW ha?1 yr?1) and in the midlands and south-east, SRF poplar was the highest yielding (10.5–11.6 Mg DW ha?1 yr?1). These geographical trends changed little with climate out to 2050, with mean yield of each ‘best feedstock’ increasing from 12.7 to 14.2 Mg DW ha?1 yr?1. Out to 2050, SRC declined slightly and Miscanthus and SRF poplar increased as the ‘best feedstock’ option. Except for a few localized examples, only SRF poplar had a higher yield than SRC or Miscanthus. These data suggest that in current and future climates, lignocellulosic biomass plantation species can be selected and optimized for best yield performance in different regions of GB. This modelling framework provides a valuable starting-point for which to test the performance of new genetic material, as this becomes available and parameterized for the models and socio-economic scenarios that may impact on the bioenergy industry.

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e-pub ahead of print date: 1 November 2013
Published date: March 2014
Keywords: climate change scenarios, ESC-CARBINE, ForestGrowth-SRC, MiscanFor©, miscanthus, renewable energy, short rotation coppice, short rotation forestry, supply chain, yield, yield models
Organisations: Centre for Biological Sciences

Identifiers

Local EPrints ID: 363099
URI: http://eprints.soton.ac.uk/id/eprint/363099
ISSN: 1757-1693
PURE UUID: 2b8a9397-52d0-4dd9-9156-da4b09292f27

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Date deposited: 20 Mar 2014 15:08
Last modified: 14 Mar 2024 16:18

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Contributors

Author: Astley Hastings
Author: M.J. Tallis
Author: Eric Casella
Author: Robert W. Matthews
Author: Paul A. Henshall
Author: Suzanne Milner
Author: Pete Smith
Author: Gail Taylor

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