The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
A new baseline of organic carbon stock in European agricultural soils using a modelling approach
Abstract
Proposed European policy in the agricultural sector will place higher emphasis on soil organic carbon (SOC), both as an indicator of soil quality and as a means to offset CO 2 emissions through soil carbon (C) sequestration. Despite detailed national SOC data sets in several European Union (EU) Member States, a consistent C stock estimation at EU scale remains problematic. Data are often not directly comparable, different methods have been used to obtain values (e.g. sampling, laboratory analysis) and access may be restricted. Therefore, any evolution of EU policies on C accounting and sequestration may be constrained by a lack of an accurate SOC estimation and the availability of tools to carry out scenario analysis, especially for agricultural soils. In this context, a comprehensive model platform was established at a pan‐European scale (EU + Serbia, Bosnia and Herzegovina, Croatia, Montenegro, Albania, Former Yugoslav Republic of Macedonia and Norway) using the agro‐ecosystem SOC model CENTURY. Almost 164 000 combinations of soil‐climate‐land use were computed, including the main arable crops, orchards and pasture. The model was implemented with the main management practices (e.g. irrigation, mineral and organic fertilization, tillage) derived from official statistics. The model results were tested against inventories from the European Environment and Observation Network (EIONET) and approximately 20 000 soil samples from the 2009 LUCAS survey, a monitoring project aiming at producing the first coherent, comprehensive and harmonized top‐soil data set of the EU based on harmonized sampling and analytical methods. The CENTURY model estimation of the current 0–30 cm SOC stock of agricultural soils was 17.63 Gt; the model uncertainty estimation was below 36% in half of the NUTS2 regions considered. The model predicted an overall increase of this pool according to different climate‐emission scenarios up to 2100, with C loss in the south and east of the area (involving 30% of the whole simulated agricultural land) compensated by a gain in central and northern regions. Generally, higher soil respiration was offset by higher C input as a consequence of increased CO 2 atmospheric concentration and favourable crop growing conditions, especially in northern Europe. Considering the importance of SOC in future EU policies, this platform of simulation appears to be a very promising tool to orient future policymaking decisions.
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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
Field, C. B., Barros, V. R., Stocker, T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea, M. D., Mach, K. J., Plattner, G., Allen, S., et al. (2012) · Cambridge University Press eBooks · Cited by 3,037
Greenhouse gas mitigation in agriculture
Smith, P., Martino, D., Cai, Z., Gwary, D., Janzen, H., Kumar, P., McCarl, B., Ogle, S., O'Mara, F., Rice, C., et al. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2007.2184 · Cited by 2,535
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
The knowns, known unknowns and unknowns of sequestration of soil organic carbon
Stockmann, U., Adams, M. A., Crawford, J. W., Field, D. J., Henakaarchchi, N., Jenkins, M., Minasny, B., McBratney, A. B., Courcelles, V. D. R. D., Singh, K., et al. (2013) · Agriculture, Ecosystems & Environment · doi:10.1016/j.agee.2012.10.001 · Cited by 1,717
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
Lal, R. (2008) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2007.2185 · Cited by 1,413
SITCH, S., HUNTINGFORD, C., GEDNEY, N., LEVY, P. E., LOMAS, M., PIAO, S. L., BETTS, R., CIAIS, P., COX, P., FRIEDLINGSTEIN, P., et al. (2008) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01626.x · Cited by 1,317
Mitchell, T. D., Carter, T. R., Jones, P. D., & Hulme, M. (2004) · Cited by 1,112
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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-citationArable lands under the pressure of multiple land degradation processes. A global perspective
Prăvălie, R., Patriche, C., Borrelli, P., Panagos, P., Roșca, B., Dumitraşcu, M., Nita, I.-A., Săvulescu, I., Birsan, M.-V., & Bandoc, G. (2021) · Environmental Research · doi:10.1016/j.envres.2020.110697 · Cited by 384
Self-citationAntonini, C., Treyer, K., Streb, A., van der Spek, M., Bauer, C., & Mazzotti, M. (2020) · Sustainable Energy & Fuels · doi:10.1039/d0se00222d · Cited by 359
Climate-smart agriculture global research agenda: scientific basis for action
Steenwerth, K. L., Hodson, A. K., Bloom, A. J., Carter, M. R., Cattaneo, A., Chartres, C. J., Hatfield, J. L., Henry, K., Hopmans, J. W., Horwath, W. R., et al. (2014) · Agriculture & Food Security · doi:10.1186/2048-7010-3-11 · Cited by 313
Viscarra Rossel, R. A., Webster, R., Bui, E. N., & Baldock, J. A. (2014) · Global Change Biology · doi:10.1111/gcb.12569 · Cited by 313
Metadata
- Authors
- Lugato, E., Panagos, P., Bampa, F., Jones, A., & Montanarella, L.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2013-08-23
- Volume
- 20
- Issue
- 1
- Pages
- 313-326
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2131254463
- Cited by
- 256
- References
- 56
- FWCI
- 23.11
- Type
- journal article
- Language
- en
- Open access
- closed
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