{"id":34924,"date":"2025-04-16T19:47:28","date_gmt":"2025-04-16T17:47:28","guid":{"rendered":"https:\/\/www.co2news.sk\/?p=34924"},"modified":"2025-04-16T19:53:49","modified_gmt":"2025-04-16T17:53:49","slug":"a-significant-portion-of-european-agricultural-land-is-at-risk-of-losing-soil-organic-carbon","status":"publish","type":"post","link":"https:\/\/www.co2news.sk\/en\/2025\/04\/16\/a-significant-portion-of-european-agricultural-land-is-at-risk-of-losing-soil-organic-carbon\/","title":{"rendered":"A significant portion of European farmland at risk of soil organic carbon loss"},"content":{"rendered":"<p><a href=\"https:\/\/www.nature.com\/articles\/s41467-025-57355-y.pdf\" target=\"_blank\" rel=\"noopener\"><span style=\"color: #0000ff;\">Document<\/span><\/a> deals with <strong>the concept of soil organic carbon saturation (SOC)<\/strong> and proposes a new <strong>SOC risk index<\/strong> for European agricultural soils. The introduction highlights the importance of soil as <!--more-->carbon sink in the context of achieving climate neutrality in the European Union (EU) by 2050. It is pointed out that agricultural soils in the EU are SOC depleted compared to other land uses and most of them are far from being saturated with a stable fraction of mineral-bound organic carbon (MAOC), which allows for additional carbon storage through appropriate management practices. Nevertheless, the study found a relative SOC loss of 0.75 % in European agricultural soils over the period 2009\u20132018.<\/p>\n<p>The paper explains that assessing the total SOC content and its changes over time alone does not provide sufficient information for effective interventions aimed at SOC sequestration. Therefore, in recent decades, a new conceptual framework has developed that highlights the benefits of dividing the total SOC into two fractions: <strong>MAOC and particulate organic carbon (POC)<\/strong>. MAOC consists mainly of low molecular weight plant and microbial compounds that can be stabilized by interaction with the soil matrix through sorption and physical protection. This makes MAOC more resistant to degradation than POC and has a longer turnover time, which supports the long-term storage of atmospheric CO2 in the soil. However, MAOC has a theoretical mineral capacity due to the limited number of binding sites on the mineral surface [3, 12\u201314]. The degree of saturation of MAOC therefore indicates the proportion of measured MAOC relative to this theoretical capacity.<\/p>\n<p>The study argues that the commonly used method of calculating the theoretical mineral capacity MAOC based on soil texture and clay mineralogy has little practical relevance for carbon enhancement measures. For example, Mediterranean soils would never reach the MAOC content of acidic soils in the cold climates of northern Europe, even if they had the same texture. Therefore, the authors propose a calculation <strong>&quot;MAOC effective capacity&quot;<\/strong> based on a cluster analysis that takes into account pedo-climatic and economic conditions. The effective MAOC capacity thus represents the biophysically achievable MAOC in a given pedo-climatic cluster for agricultural soils.<\/p>\n<p>Information from four datasets was used to map the risk index: i) SOC content at repeatedly monitored sites (2009\u20132018) within the EU Land Use and Land Cover Survey (LUCAS), ii) SOC changes (\u0394SOC) between repeated surveys, iii) associated visible and near-infrared (VNIR) spectroscopy measurements and iv) a subset of measured SOC fractions. The risk index is based on the Intergovernmental Panel on Climate Change (IPCC) exposure-vulnerability-hazard concept.<\/p>\n<ul>\n<li><strong>Exposure:<\/strong> It represents all land under agricultural use.<\/li>\n<li><strong>Danger:<\/strong> It represents SOC changes (\u0394SOC) resulting from the influence of climate and management on SOC deposition.<\/li>\n<li><strong>Vulnerability:<\/strong> It represents the saturation level of MAOC within biophysically homogeneous European agricultural regions.<\/li>\n<\/ul>\n<p>Three different regression methods (BL, PBL, NBL) based on the MAOC saturation theory were used to calculate the effective capacity of MAOC. Pedo-climatic zones were identified using k-means clustering based on aridity, net primary production (NPP), pH and relief. Prediction of POC and MAOC for the larger LUCAS 2009 data set was performed using VNIR spectra.<\/p>\n<p>The results showed that <strong>effective saturation of MAOC is cluster dependent<\/strong> and is related to SOC vulnerability. Regression methods to estimate the effective capacity of MAOC showed significant differences between pedo-climatic clusters. Based on the degree of hazard (\u0394SOC) and vulnerability (MAOC saturation), agricultural soils were classified into four risk index classes: <strong>high risk (HR), high hazard (HH), no risk (NR) and no hazard (NH)<\/strong>.<\/p>\n<p>The study found that <strong>between 43 and 83 million hectares of agricultural land are classified as high risk<\/strong>, with these areas mainly located in cold and humid regions. High-risk areas (negative \u0394SOC, low MAOC saturation) are mainly located in Scandinavia, central England, western France and parts of the Mediterranean. Non-risk areas (positive \u0394SOC, low MAOC saturation), which have the potential for efficient carbon storage through carbon agriculture, extend from the west coast of Europe eastwards through northern France, Belgium, southern Germany and Hungary.<\/p>\n<p>The authors emphasize that the risk index provides synthetic information for policymakers to protect and enhance POC and MAOC. They point out that although MAOC saturation affects the rate of carbon accumulation, not only the degree of saturation but also the absolute amount of MAOC should be considered when assessing carbon storage potential. Methodological decisions in calculating carbon saturation have a significant impact on the results, so further research is needed towards a unified approach. <em><strong>Spring<\/strong><\/em><\/p>\n<hr \/>\n<p><strong>Glossary of key terms<\/strong><\/p>\n<ul>\n<li><strong>Soil organic carbon (SOC):<\/strong> Carbon found in soil organic matter.<\/li>\n<li><strong>Particulate organic carbon (POC):<\/strong> SOC fraction consisting of larger, less processed organic residues that are less stable.<\/li>\n<li><strong>Mineral-associated organic carbon (MAOC):<\/strong> SOC fraction formed by smaller organic molecules stabilized by interactions with mineral soil surfaces, characterized by a longer residence time.<\/li>\n<li><strong>Theoretical capacity of MAOC:<\/strong> Hypothetical maximum amount of MAOC that can be associated with mineral surfaces based on soil texture and mineralogy.<\/li>\n<li><strong>Effective capacity of MAOC:<\/strong> Biophysically achievable amount of MAOC under given pedo-climatic and management conditions.<\/li>\n<li><strong>MAOC saturation:<\/strong> The ratio of measured MAOC to effective MAOC capacity, often expressed as a percentage.<\/li>\n<li><strong>\u0394SOC (Delta SOC):<\/strong> Change in soil organic carbon content over time.<\/li>\n<li><strong>Pedo-climatic zones:<\/strong> Areas with similar soil and climate characteristics.<\/li>\n<li><strong>VNIR spectroscopy:<\/strong> A spectroscopic technique using visible and near-infrared radiation to analyze the properties of materials, in this case soil.<\/li>\n<li><strong>SOC risk index:<\/strong> A synthetic index combining SOC changes (hazard) and MAOC effective capacity (vulnerability) to assess the risk of SOC loss.<\/li>\n<li><strong>k-means clustering:<\/strong> A machine learning algorithm used to divide data into groups (clusters) based on their similarity.<\/li>\n<li><strong>Quantile regression:<\/strong> A type of regression analysis that models the relationship between variables at different quantiles of the distribution of the dependent variable.<\/li>\n<li><strong>Aridity:<\/strong> The degree of aridity of a climatic region, usually defined as the ratio of precipitation to potential evapotranspiration.<\/li>\n<li><strong>Net primary production (NPP):<\/strong> The total amount of organic carbon produced by vegetation in a given ecosystem over a certain period.<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>The paper discusses the concept of soil organic carbon (SOC) saturation and proposes a new SOC risk index for European agricultural soils. The introduction highlights the importance of soil as a<\/p>","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-34924","post","type-post","status-publish","format-standard","hentry","category-klimaticka-zmena"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.co2news.sk\/en\/wp-json\/wp\/v2\/posts\/34924","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.co2news.sk\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.co2news.sk\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.co2news.sk\/en\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.co2news.sk\/en\/wp-json\/wp\/v2\/comments?post=34924"}],"version-history":[{"count":0,"href":"https:\/\/www.co2news.sk\/en\/wp-json\/wp\/v2\/posts\/34924\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.co2news.sk\/en\/wp-json\/wp\/v2\/media?parent=34924"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.co2news.sk\/en\/wp-json\/wp\/v2\/categories?post=34924"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.co2news.sk\/en\/wp-json\/wp\/v2\/tags?post=34924"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}