Soil Themes > Soil Organic Carbon Content
Soil organic carbon, the major component of soil organic matter, is extremely important in all soil processes. Organic material in the soil is essentially derived from residual plant and animal material, synthesised by microbes and decomposed under the influence of temperature, moisture and ambient soil conditions. The annual rate of loss of organic matter can vary greatly, depending on cultivation practices, the type of plant/crop cover, drainage status of the soil and weather conditions. There are two groups of factors that influence inherent organic matter content: natural factors (climate, soil parent material, land cover and/or vegetation and topography), and human-induced factors (land use, management and degradation).
At the European level, there is a serious lack of geo-referenced, measured and harmonised data on soil organic carbon available from systematic sampling programmes. The European Soil Database, at a scale of 1:1,000,000, is the only comprehensive source of data on the soils of Europe harmonised according to a standard international classification (FAO). At the present time, the most homogeneous and comprehensive data on the organic carbon/matter content of European soils remain those that can be extracted and/or derived from the European Soil Database in combination with associated databases on land cover, climate and topography.
The Soil Portal makes available the Maps of Organic carbon content (%) in the surface horizon of soils in Europe. The Data are in ESRI GRID format and are available as an ASCII raster file or in native ESRI GRID format. In addition, an interactive application allows the user to navigate in the Organic Carbon data with OCTOP Map Server and print his own customized map.
Organic carbon content (%) in the surface horizon of soils in Europe (S.P.I.04.72)
EIONET Data collection
In 2010, the European Soil Data Centre(ESDAC) invited the Primary Contact Points (PCPs) of EIONET to contribute to a data collection campaign of EIONET-SOIL in order to develop the European datasets for soil erosion and Soil Organic Carbon(SOC). There was no legal obligation for the EIONET member countries to participate and PCPs and NRCs for soil contributed on a voluntary basis. Twenty(20) countries expressed their interest to participate in the project, of which eight(8) countries were interested to deliver data in the future. You can find more details on the EIONET 2010 data collection.
The Soil Organic Carbon(%) Map (0-30 cm) based on EIONET data colleaction 2010.
Pan-European Soil Organic Carbon (SOC) stock of agricultural soils
The future EU policy in agriculture will utilized SOC as indicator, both as a main parameter of soil quality and as a strategy to offset CO2 emission by C sequestration. However a consistent picture of agricultural SOC stock is missing as well as tools to orient the future policymaker decisions. Get more information on how we estimated a current top SOC stock of 17.63 Gt in EU agricultural soils, by an unprecedented model application running about 164,000 combination of climate, soil and land use/management. 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. The model was implemented with the main management practices (e.g. irrigation, mineral and organic fertilization, tillage, etc.) 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 dataset of the EU based on harmonized sampling and analytical methods. The Data are available as Shape Files.
Estimation of topsoil organic carbon stocks based on LUCAS data
Soil organic carbon (SOC) concentration is a site specific soil characteristic, which is attributable to soilforming
factors such as climate, vegetation, parent material and land use. Pedotransfer rules (PTRs) are techniques to estimate SOC concentration in situations where direct
measurements are not available, or not adequate for spatial representation on the required scale. PTRs
developed to characterise SOC levels of European soil types (EC 2003) were combined with climate and
land use data by Jones et al. (2004) to derive spatial estimates of topsoil SOC content on a continental
scale for Europe. The resulting spatial dataset, the so-called OCTOP data serves as the main information
base on topsoil carbon content for various purposes to date. Although validation of the OCTOP data were
performed using regional datasets, only with the availability of the LUCAS Soil data a full understanding of
the model performance became feasible. Initial analyses of the model validity of OCTOP by Tóth (2011)
and Panagos et al. (2013) described regional variation in its estimation inaccuracy. According to Tóth
(2011), the model performance of OCTOP has a systematic error in relation to climatic patterns. Panagos et
al. (2013) has added detailed data – based on analysis of SOC content in administrative units - to support
Digital soil mapping applies geostatistical processes of georeferenced data from different sources to derive continuous maps of soil properties. JRC developed a map of topsoil OC content at the European scale by applying digital soil mapping techniques to the first European harmonized geo-referenced topsoil (0–20 cm) database, which arises from the Land use/Cover Area frame statistical Survey (LUCAS). A map of the associated uncertainty was also produced to support careful use of the predicted OC contents. A generalized additive model (GAM) was fitted on 85% of the dataset (R2 = 0.29), using OC content as dependent variable; a backward stepwise approach selected slope, land cover, temperature, net primary productivity, latitude and longitude as suitable covariates.
- D. de Brogniez, C. Ballabio, A. Stevens, R. J. A. Jones, L. Montanarella and B. van Wesemael (2014) A map of the topsoil organic carbon content of Europe generated by a generalized additive model, European Journal of Soil Science. doi: 10.1111/ejss.12193
- Tóth, G., Ballabio, C., de Brogniez, D. and Hermann, T. 2013. Estimation of topsoil organic carbon stock of the European Union and its Member States for the reference year of 2009 In: Tóth, G., Jones, A. and Montanarella, L. 2013. LUCAS Topsoil Survey – methodology, data and results. EUR 26102 EN; pp 107-111.
- Panagos P., Ballabio, C., Yigini, Y., Dunbar M. (2013). Estimating the soil organic carbon content for European NUTS2 regions based on LUCAS data collection , Science of The Total Environment Volume 442, 1 January 2013, pp. 235–246.
- Jones, R.J.A, R. Hiederer, E. Rusco, P.J. Loveland and L. Montanarella (2005). Estimating organic carbon in the soils of Europe for policy support. European Journal of Soil Science, October 2005, 56, p.655-671.
Global estimates of soil organic carbon stocks have been produced in the past to support the calculation of potential emissions of CO2 from the soil under scenarios of change land use/cover and climatic conditions (IPCC, 2006), but very few global estimates are presented as spatial data. For global spatial layers on soil parameters, the most recent and complete dataset is available as the Harmonized World Soil Database (HWSD).
The HWSD represents a step forward towards a spatially more detailed and thematically more refined set of global soil data.
The Global Soil Organic Carbon estimates are available in 2 different grid resolutions.
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| European Commission - Joint Research Centre
Institute for Environment and Sustainability
Marc Van Liedekerke(tel. +39-0332-785179)
Panos Panagos (tel. +39-0332-785574)