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GCB Bioenergy
Article . 2009 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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DIGITAL.CSIC
Article . 2024 . Peer-reviewed
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The potential of Miscanthus to sequester carbon in soils: comparing field measurements in Carlow, Ireland to model predictions

Authors: Dondini, Marta; Hastings, Astley; Saiz, Gustavo; Jones, Michael B.; Smith, Pete;

The potential of Miscanthus to sequester carbon in soils: comparing field measurements in Carlow, Ireland to model predictions

Abstract

AbstractGrowing bioenergy crops such as Miscanthus has the potential to mitigate atmospheric carbon dioxide emissions by the replacement of fossil fuels and by storing carbon (C) in the soil due to land use change. Here we compare direct measurements of soil organic C fractions made in Carlow (Ireland) to model predictions made by RothC and a cohort model. Our results show that when Miscanthus is grown on land previously under arable agriculture, the soil organic C will increase to a level above that of native pasture, as Miscanthus organic material is shown to have a slow decomposition rate. In addition we demonstrate that for measured organic C, fractions of different lability are similar to the C pools used in RothC. Using the model predictions from RothC and Miscanthus yields from MISCANFOR, we predict that in Ireland, changing the land use from arable to Miscanthus plantations has the potential to store between 2 and 3 Mg C ha−1 y−1 depending on the crop yield and the initial soil organic C level.

Countries
Australia, Spain
Keywords

550, Miscanthus, Soil carbon, Energy crops, Modelling, Greenhouse gas emissions, Climate change

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
105
Top 10%
Top 10%
Top 10%
35
21
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