The effects of land use on soil carbon stocks in the UK
Levy, Peter 
ORCID: https://orcid.org/0000-0002-8505-1901; Bentley, Laura ORCID: https://orcid.org/0000-0001-5055-7673; Danks, Peter; Emmett, Bridget ORCID: https://orcid.org/0000-0002-2713-4389; Garbutt, Angus ORCID: https://orcid.org/0000-0002-9145-9786; Heming, Stephen; Henrys, Peter ORCID: https://orcid.org/0000-0003-4758-1482; Keith, Aidan ORCID: https://orcid.org/0000-0001-9619-1320; Lebron, Inma ORCID: https://orcid.org/0000-0001-8610-9717; McNamara, Niall ORCID: https://orcid.org/0000-0002-5143-5819; Pywell, Richard ORCID: https://orcid.org/0000-0001-6431-9959; Redhead, John ORCID: https://orcid.org/0000-0002-2233-3848; Robinson, David ORCID: https://orcid.org/0000-0001-7290-4867; Wickenden, Alexander ORCID: https://orcid.org/0009-0008-4486-4480.
2024
The effects of land use on soil carbon stocks in the UK.
Biogeosciences, 21 (19).
4301-4315.
10.5194/bg-21-4301-2024
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Abstract/Summary
Greenhouse gas stabilisation in the atmosphere is one of the most pressing challenges of this century. Sequestering carbon in the soil by changing land use and management is increasingly proposed as part of climate mitigation strategies, but our understanding of this is limited in quantitative terms. Here we collate a substantial national and regional data set (15 790 soil cores) and analyse it in an advanced statistical modelling framework. This produced new estimates of the effects of land use on soil carbon stock (Sc) in the UK, different in magnitude and ranking order from the previous best estimates. Soil carbon stocks were highest in woodlands, followed by rough grazing, semi-natural grasslands, and improved grasslands, and they were lowest in croplands. Estimates were smaller than the previous estimates, partly because of new data, but mainly because the effect is more reliably characterised using a logarithmic transformation of the data. With the very large data set analysed here, the uncertainty in the differences among land uses was small enough to identify consistent mean effects. However, the variability in these effects was large, and this variability was similar across all surveys. This has important implications for agri-environment schemes seeking to sequester carbon in the soil by altering land use, because the effect of a given intervention is very hard to verify. We examined the validity of the “space-for-time” substitution, and, although the results were not unequivocal, we estimated that the effects are likely to be overestimated by 5 %–33 %, depending upon land use.
| Item Type: | Publication - Article |
|---|---|
| Digital Object Identifier (DOI): | 10.5194/bg-21-4301-2024 |
| UKCEH and CEH Sections/Science Areas: | Atmospheric Chemistry and Effects (Science Area 2017-) Biodiversity (Science Area 2017-) Soils and Land Use (Science Area 2017-) |
| ISSN: | 1726-4189 |
| Additional Information. Not used in RCUK Gateway to Research.: | Open Access paper - full text available via Official URL link. |
| NORA Subject Terms: | Ecology and Environment Agriculture and Soil Science Atmospheric Sciences |
| Related URLs: | |
| Date made live: | 28 Nov 2024 14:39 +0 (UTC) |
| URI: | https://nora.nerc.ac.uk/id/eprint/538470 |
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