The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Potential carbon sequestration of European arable soils estimated by modelling a comprehensive set of management practices
Open accessAbstract
Bottom–up estimates from long‐term field experiments and modelling are the most commonly used approaches to estimate the carbon (C) sequestration potential of the agricultural sector. However, when data are required at European level, important margins of uncertainty still exist due to the representativeness of local data at large scale or different assumptions and information utilized for running models. In this context, a pan‐European (EU + Serbia, Bosnia and Herzegovina, Montenegro, Albania, Former Yugoslav Republic of Macedonia and Norway) simulation platform with high spatial resolution and harmonized data sets was developed to provide consistent scenarios in support of possible carbon sequestration policies. Using the CENTURY agroecosystem model, six alternative management practices (AMP) scenarios were assessed as alternatives to the business as usual situation (BAU). These consisted of the conversion of arable land to grassland (and vice versa), straw incorporation, reduced tillage, straw incorporation combined with reduced tillage, ley cropping system and cover crops. The conversion into grassland showed the highest soil organic carbon (SOC) sequestration rates, ranging between 0.4 and 0.8 t C ha−1 yr−1, while the opposite extreme scenario (100% of grassland conversion into arable) gave cumulated losses of up to 2 Gt of C by 2100. Among the other practices, ley cropping systems and cover crops gave better performances than straw incorporation and reduced tillage. The allocation of 12 to 28% of the European arable land to different AMP combinations resulted in a potential SOC sequestration of 101–336 Mt CO2 eq. by 2020 and 549‐2141 Mt CO2 eq. by 2100. Modelled carbon sequestration rates compared with values from an ad hoc meta‐analysis confirmed the robustness of these estimates.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Soil Carbon Sequestration Impacts on Global Climate Change and Food Security
Lal, R. (2004) · Science · doi:10.1126/science.1097396 · Cited by 8,376
Special report on emissions scenarios
Nakićenović, N., Alcamo, J., Davis, G. R., de Vries, B. J. M., Fenhann, J. V., Gaffin, S., Gregory, K., Grübler, A., Jung, T. Y., Kram, T., et al. (2000) · Cited by 6,085
Soil carbon stocks and land use change: a meta analysis
Guo, L. B., & Gifford, R. M. (2002) · Global Change Biology · doi:10.1046/j.1354-1013.2002.00486.x · Cited by 3,972
Estimation of Soil Water Properties
Rawls, W. J., Brakensiek, D. L., & Saxtonn, K. E. (1982) · Transactions of the ASAE · doi:10.13031/2013.33720 · Cited by 1,718
Dynamics of C, N, P and S in grassland soils: a model
Parton, W. J., Stewart, J. W. B., & Cole, C. V. (1988) · Biogeochemistry · doi:10.1007/bf02180320 · Cited by 1,453
GRASSLAND MANAGEMENT AND CONVERSION INTO GRASSLAND: EFFECTS ON SOIL CARBON
Conant, R. T., Paustian, K., & Elliott, E. T. (2001) · Ecological Applications · doi:10.1890/1051-0761(2001)011[0343:gmacig]2.0.co;2 · Cited by 1,365
Tillage and soil carbon sequestration—What do we really know?
Baker, J. M., Ochsner, T. E., Venterea, R. T., & Griffis, T. J. (2007) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2006.05.014 · Cited by 1,252
Smith, P., Smith, J. U., Powlson, D. S., McGill, W. B., Arah, J. R. M., Chertov, O. G., Coleman, K., Franko, U., Frolking, S., Jenkinson, D. S., et al. (1997) · Geoderma · doi:10.1016/s0016-7061(97)00087-6 · Cited by 1,150
Carbon losses from all soils across England and Wales 1978–2003
Bellamy, P. H., Loveland, P. J., Bradley, R. I., Lark, R. M., & Kirk, G. J. D. (2005) · Nature · doi:10.1038/nature04038 · Cited by 1,131 · cited 1×
“At European level, several long-term soil monitoring networks have reported soil organic carbon (SOC) decreases (Bellamy et al., 2005; Goidts & van Wesemael, 2007; Capriel, 2013; Heikkinen et al., 2013), even if contrasting trends are evident in the past decades (Chapman et al.”
BackgroundMitchell, T. D., Carter, T. R., Jones, P. D., & Hulme, M. (2004) · Cited by 1,112
Cited by
LUCAS Soil, the largest expandable soil dataset for Europe: a review
Orgiazzi, A., Ballabio, C., Panagos, P., Jones, A., & Fernández‐Ugalde, O. (2018) · European Journal of Soil Science · doi:10.1111/ejss.12499 · Cited by 699
Self-citationLeip, A., Billen, G., Garnier, J., Grizzetti, B., Lassaletta, L., Reis, S., Simpson, D., Sutton, M. A., de Vries, W., Weiss, F., et al. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/11/115004 · Cited by 538
The relevance of sustainable soil management within the European Green Deal
Montanarella, L., & Panagos, P. (2021) · Land Use Policy · doi:10.1016/j.landusepol.2020.104950 · Cited by 512
Self-citationBriones, M. J. I., & Schmidt, O. (2017) · Global Change Biology · doi:10.1111/gcb.13744 · Cited by 375
Urra, J., Alkorta, I., & Garbisu, C. (2019) · Agronomy · doi:10.3390/agronomy9090542 · Cited by 312
Metadata
- Authors
- Lugato, E., Bampa, F., Panagos, P., Montanarella, L., & Jones, A.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2014-05-02
- Volume
- 20
- Issue
- 11
- Pages
- 3557-3567
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W1983221386
- Cited by
- 283
- References
- 42
- FWCI
- 24.26
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Potential carbon sequestration of European arable soils estimated by modelling a comprehensive set of management practices. https://app.cochat.ai/papers/10.1111/gcb.12551
- The paper
- Lugato, E., Bampa, F., Panagos, P., Montanarella, L., & Jones, A. (2014). Potential carbon sequestration of European arable soils estimated by modelling a comprehensive set of management practices. Global Change Biology. https://doi.org/10.1111/gcb.12551
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.