Journal
BIOMASS & BIOENERGY
Volume 82, Issue -, Pages 27-39Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.biombioe.2015.05.008
Keywords
Biofuel; LCA; Miscanthus; Poplar; Willow; SRC
Funding
- Energy Technologies Institute (ETI)
- Carbo-BioCrop, NERC [NE/H010742/1]
- UKERC (as part of the flexible research fund of UKERC, NERC) [NE/H013237/1]
- EPSRC [EP/L024756/1, EP/M013200/1] Funding Source: UKRI
- NERC [NE/M019764/1, NE/H010742/1, NE/H010718/1, NE/H013237/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/M013200/1, EP/L024756/1] Funding Source: researchfish
- Natural Environment Research Council [NE/H013237/1, NE/M019764/1, NE/H010718/1, NE/H010742/1] Funding Source: researchfish
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A systematic review and meta-analysis were used to assess the current state of knowledge and quantify the effects of land use change (LUC) to second generation (2G), non-food bioenergy crops on soil organic carbon (SOC) and greenhouse gas (GHG) emissions of relevance to temperate zone agriculture. Following analysis from 138 original studies, transitions from arable to short rotation coppice (SRC, poplar or willow) or perennial grasses (mostly Miscanthus or switchgrass) resulted in increased SOC (+5.0 +/- 7.8% and +25.7 +/- 6.7% respectively). Transitions from grassland to SRC were broadly neutral (+3.7 +/- 14.6%), whilst grassland to perennial grass transitions and forest to SRC both showed a decrease in SOC (-10.9 +/- 4.3% and -11.4 +/- 23.4% respectively). There were insufficient paired data to conduct a strict meta-analysis for GHG emissions but summary figures of general trends in GHGs from 188 original studies revealed increased and decreased soil CO2 emissions following transition from forests and arable to perennial grasses. We demonstrate that significant knowledge gaps exist surrounding the effects of land use change to bioenergy on greenhouse gas balance, particularly for CH4. There is also large uncertainty in quantifying transitions from grasslands and transitions to short rotation forestry. A striking finding of this review is the lack of empirical studies that are available to validate modelled data. Given that models are extensively use in the development of bioenergy LCA and sustainability criteria, this is an area where further longterm data sets are required. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license
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