{"type": "FeatureCollection", "features": [{"id": "10.1016/j.geoderma.2015.06.015", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:33Z", "type": "Journal Article", "created": "2015-07-06", "title": "Impact Of Alley Cropping Agroforestry On Stocks, Forms And Spatial Distribution Of Soil Organic Carbon \u2014 A Case Study In A Mediterranean Context", "description": "Abstract Agroforestry systems, i.e., agroecosystems combining trees with farming practices, are of particular interest as they combine the potential to increase biomass and soil carbon (C) storage while maintaining an agricultural production. However, most present knowledge on the impact of agroforestry systems on soil organic carbon (SOC) storage comes from tropical systems. This study was conducted in southern France, in an 18-year-old agroforestry plot, where hybrid walnuts ( Juglans regia \u00d7 nigra L.) are intercropped with durum wheat ( Triticum turgidum L. subsp. durum ), and in an adjacent agricultural control plot, where durum wheat is the sole crop. We quantified SOC stocks to 2.0\u00a0m depth and their spatial variability in relation to the distance to the trees and to the tree rows. The distribution of additional SOC storage in different soil particle-size fractions was also characterized. SOC accumulation rates between the agroforestry and the agricultural plots were 248\u00a0\u00b1\u00a031\u00a0kg\u00a0C\u00a0ha \u2212\u00a01 \u00a0yr \u2212\u00a01 for an equivalent soil mass (ESM) of 4000\u00a0Mg\u00a0ha \u2212\u00a01 (to 26\u201329\u00a0cm depth) and 350\u00a0\u00b1\u00a041\u00a0kg\u00a0C\u00a0ha \u2212\u00a01 \u00a0yr \u2212\u00a01 for an ESM of 15,700\u00a0Mg\u00a0ha \u2212\u00a01 (to 93\u201398\u00a0cm depth). SOC stocks were higher in the tree rows where herbaceous vegetation grew and where the soil was not tilled, but no effect of the distance to the trees (0 to 10\u00a0m) on SOC stocks was observed. Most of the additional SOC storage was found in coarse organic fractions (50\u2013200 and 200\u20132000\u00a0\u03bcm), which may be rather labile fractions. All together our study demonstrated the potential of alley cropping agroforestry systems under Mediterranean conditions to store SOC, and questioned the stability of this storage.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "http://aims.fao.org/aos/agrovoc/c_28568", "Juglans regia", "F08 - Syst\u00e8mes et modes de culture", "culture associ\u00e9e", "Triticum turgidum", "630", "spectroscopie infrarouge", "zone m\u00e9diterran\u00e9enne", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "http://aims.fao.org/aos/agrovoc/c_35657", "agroforesterie", "2. Zero hunger", "http://aims.fao.org/aos/agrovoc/c_35927", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "soil organic carbon storage", "http://aims.fao.org/aos/agrovoc/c_29563", "soil organic carbon saturation", "04 agricultural and veterinary sciences", "deep soil organic carbon stocks", "http://aims.fao.org/aos/agrovoc/c_207", "s\u00e9questration du carbone", "P31 - Lev\u00e9s et cartographie des sols", "http://aims.fao.org/aos/agrovoc/c_4060", "mati\u00e8re organique du sol", "P33 - Chimie et physique du sol", "Visible and near infrared spectroscopy", "571", "structure du sol", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "Juglans nigra", "particle-size fractionation", "Particle-size fractionation", "12. Responsible consumption", "Soil organic carbon saturation", "visible and near infrared spectroscopy", "http://aims.fao.org/aos/agrovoc/c_33452", "http://aims.fao.org/aos/agrovoc/c_3081", "http://aims.fao.org/aos/agrovoc/c_4059", "Deep soil organic carbon stocks", "15. Life on land", "http://aims.fao.org/aos/agrovoc/c_331583", "cartographie des fonctions de la for\u00eat", "K10 - Production foresti\u00e8re", "soil mapping", "Soil mapping", "culture en couloirs", "http://aims.fao.org/aos/agrovoc/c_7958", "Soil organic carbon storage", "http://aims.fao.org/aos/agrovoc/c_7196", "0401 agriculture", " forestry", " and fisheries", "http://aims.fao.org/aos/agrovoc/c_1374847637217", "U30 - M\u00e9thodes de recherche"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2015.06.015"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2015.06.015", "name": "item", "description": "10.1016/j.geoderma.2015.06.015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2015.06.015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-12-01T00:00:00Z"}}, {"id": "11250/3082084", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:59Z", "type": "Journal Article", "created": "2023-05-08", "title": "Soil organic carbon models need independent time-series validation for reliable prediction", "description": "Abstract

Numerical models are crucial to understand and/or predict past and future soil organic carbon dynamics. For those models aiming at prediction, validation is a critical step to gain confidence in projections. With a comprehensive review of ~250 models, we assess how models are validated depending on their objectives and features, discuss how validation of predictive models can be improved. We find a critical lack of independent validation using observed time series. Conducting such validations should be a priority to improve the model reliability. Approximately 60% of the models we analysed are not designed for predictions, but rather for conceptual understanding of soil processes. These models provide important insights by identifying key processes and alternative formalisms that can be relevant for predictive models. We argue that combining independent validation based on observed time series and improved information flow between predictive and conceptual models will increase reliability in predictions.Diversified cropping systems, especially those including legumes, have been proposed to enhance food production with reduced inputs and environmental impacts. However, the impact of legume pre-crops on main crop yield and its drivers has never been systematically investigated in a global context. Here, we synthesize 11,768 yield observations from 462 field experiments comparing legume-based and non-legume cropping systems and show that legumes enhanced main crop yield by 20%. These yield advantages decline with increasing N fertilizer rates and crop diversity of the main cropping system. The yield benefits are consistent among main crops (e.g., rice, wheat, maize) and evident across pedo-climatic regions. Moreover, greater yield advantages (32% vs. 7%) are observed in low- vs. high-yielding environments, suggesting legumes increase crop production with low inputs (e.g., in Africa or organic agriculture). In conclusion, our study suggests that legume-based rotations offer a critical pathway for enhancing global crop production, especially when integrated into low-input and low-diversity agricultural systems.