Uncertainty of modelled bioenergy with carbon capture and storage due to variability of input data

Abstract Uncertainty is inherent in modelled projections of bioenergy with carbon capture and storage (BECCS), yet sometimes treated peripherally. One source of uncertainty comes from different climate and soil inputs. We investigated variations in 70‐year UK projections of Miscanthus × giganteus (M...

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Main Authors: Anita Shepherd, Mike Martin, Astley Hastings
Format: Article
Language:English
Published: Wiley 2021-04-01
Series:GCB Bioenergy
Subjects:
Online Access:https://doi.org/10.1111/gcbb.12803
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author Anita Shepherd
Mike Martin
Astley Hastings
author_facet Anita Shepherd
Mike Martin
Astley Hastings
author_sort Anita Shepherd
collection DOAJ
description Abstract Uncertainty is inherent in modelled projections of bioenergy with carbon capture and storage (BECCS), yet sometimes treated peripherally. One source of uncertainty comes from different climate and soil inputs. We investigated variations in 70‐year UK projections of Miscanthus × giganteus (M × g), BECCS and environmental impacts with input data. We used cohort datasets of UKCP18 RCP8.5 climate projections and Harmonized World Soil Database (HWSD) soil sequences, as inputs to the MiscanFor bioenergy model. Low annual yield occurred 1 in 10 years as a UK‐average but yield uncertainty varied regionally, especially south and east England. BECCS projections were similar among cohorts, with variation resulting from climate cohorts of the same database ensemble (3.99 ± 0.14 t C ha−1 year−1) larger than uncertainty resulting from soil sequences in each grid block (3.96 ± 0.03 t C ha−1 year−1). This is supported by annual time series, displaying variable annual climate and a close yield–BECCS–climate relationship but partial correspondence of yield and BECCS with maximal soil variability. Each HWSD soil grid square contains up to 10 ranked soil types. Predominant soil commonly has over 50% coverage, indicating why BECCS from combined soil sequences were not significantly different from BECCS using the dominant soil type. Mean BECCS from the full climate ensemble combined with the full soil sequences, over the current area of cropping limits in England and Wales, is 3.98 ± 0.14 t C ha−1 year−1. The bioenergy crop has a mean seasonal soil water deficit of 65.79 ± 4.27 mm and associated soil carbon gain of 0.22 ± 0.03 t C ha−1 year−1, with bioenergy feedstock calculated at 131 GJ t−1 y−1. The uncertainty is specific to the input datasets and model used. The message of this study is to ensure that uncertainty is accounted for when interpreting modelled projections of land use impacts.
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spelling doaj.art-584965e4aba14676907fc5e65dfd68e32022-12-21T18:26:53ZengWileyGCB Bioenergy1757-16931757-17072021-04-0113469170710.1111/gcbb.12803Uncertainty of modelled bioenergy with carbon capture and storage due to variability of input dataAnita Shepherd0Mike Martin1Astley Hastings2Institute of Biological and Environmental Sciences School of Biological Sciences University of Aberdeen Aberdeen UKInstitute of Biological and Environmental Sciences School of Biological Sciences University of Aberdeen Aberdeen UKInstitute of Biological and Environmental Sciences School of Biological Sciences University of Aberdeen Aberdeen UKAbstract Uncertainty is inherent in modelled projections of bioenergy with carbon capture and storage (BECCS), yet sometimes treated peripherally. One source of uncertainty comes from different climate and soil inputs. We investigated variations in 70‐year UK projections of Miscanthus × giganteus (M × g), BECCS and environmental impacts with input data. We used cohort datasets of UKCP18 RCP8.5 climate projections and Harmonized World Soil Database (HWSD) soil sequences, as inputs to the MiscanFor bioenergy model. Low annual yield occurred 1 in 10 years as a UK‐average but yield uncertainty varied regionally, especially south and east England. BECCS projections were similar among cohorts, with variation resulting from climate cohorts of the same database ensemble (3.99 ± 0.14 t C ha−1 year−1) larger than uncertainty resulting from soil sequences in each grid block (3.96 ± 0.03 t C ha−1 year−1). This is supported by annual time series, displaying variable annual climate and a close yield–BECCS–climate relationship but partial correspondence of yield and BECCS with maximal soil variability. Each HWSD soil grid square contains up to 10 ranked soil types. Predominant soil commonly has over 50% coverage, indicating why BECCS from combined soil sequences were not significantly different from BECCS using the dominant soil type. Mean BECCS from the full climate ensemble combined with the full soil sequences, over the current area of cropping limits in England and Wales, is 3.98 ± 0.14 t C ha−1 year−1. The bioenergy crop has a mean seasonal soil water deficit of 65.79 ± 4.27 mm and associated soil carbon gain of 0.22 ± 0.03 t C ha−1 year−1, with bioenergy feedstock calculated at 131 GJ t−1 y−1. The uncertainty is specific to the input datasets and model used. The message of this study is to ensure that uncertainty is accounted for when interpreting modelled projections of land use impacts.https://doi.org/10.1111/gcbb.12803bioenergycarbon captureclimate changecohortsHWSD soil sequencesMiscanFor
spellingShingle Anita Shepherd
Mike Martin
Astley Hastings
Uncertainty of modelled bioenergy with carbon capture and storage due to variability of input data
GCB Bioenergy
bioenergy
carbon capture
climate change
cohorts
HWSD soil sequences
MiscanFor
title Uncertainty of modelled bioenergy with carbon capture and storage due to variability of input data
title_full Uncertainty of modelled bioenergy with carbon capture and storage due to variability of input data
title_fullStr Uncertainty of modelled bioenergy with carbon capture and storage due to variability of input data
title_full_unstemmed Uncertainty of modelled bioenergy with carbon capture and storage due to variability of input data
title_short Uncertainty of modelled bioenergy with carbon capture and storage due to variability of input data
title_sort uncertainty of modelled bioenergy with carbon capture and storage due to variability of input data
topic bioenergy
carbon capture
climate change
cohorts
HWSD soil sequences
MiscanFor
url https://doi.org/10.1111/gcbb.12803
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AT mikemartin uncertaintyofmodelledbioenergywithcarboncaptureandstorageduetovariabilityofinputdata
AT astleyhastings uncertaintyofmodelledbioenergywithcarboncaptureandstorageduetovariabilityofinputdata