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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Format: | Article |
Language: | English |
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Wiley
2021-04-01
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Series: | GCB Bioenergy |
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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. |
first_indexed | 2024-12-22T11:54:14Z |
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id | doaj.art-584965e4aba14676907fc5e65dfd68e3 |
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issn | 1757-1693 1757-1707 |
language | English |
last_indexed | 2024-12-22T11:54:14Z |
publishDate | 2021-04-01 |
publisher | Wiley |
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series | GCB Bioenergy |
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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