{"type": "FeatureCollection", "features": [{"id": "10.1111/ejss.13145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:17:46Z", "type": "Journal Article", "created": "2021-07-13", "title": "Sustainable futures over the next decade are rooted in soil science", "description": "Abstract

The importance of soils to society has gained increasing recognition over the past decade, with the potential to contribute to most of the United Nations\uffe2\uff80\uff99 Sustainable Development Goals (SDGs). With unprecedented and growing demands for food, water and energy, there is an urgent need for a global effort to address the challenges of climate change and land degradation, whilst protecting soil as a natural resource. In this paper, we identify the contribution of soil science over the past decade to addressing gaps in our knowledge regarding major environmental challenges: climate change, food security, water security, urban development, and ecosystem functioning and biodiversity. Continuing to address knowledge gaps in soil science is essential for the achievement of the SDGs. However, with limited time and budget, it is also pertinent to identify effective methods of working that ensure the research carried out leads to real\uffe2\uff80\uff90world impact. Here, we suggest three strategies for the next decade of soil science, comprising a greater implementation of research into policy, interdisciplinary partnerships to evaluate function trade\uffe2\uff80\uff90offs and synergies between soils and other environmental domains, and integrating monitoring and modelling methods to ensure soil\uffe2\uff80\uff90based policies can withstand the uncertainties of the future.

Highlights

We highlight the contributions of soil science to five major environmental challenges since 2010.

Researchers have contributed to recommendation reports, but work is rarely translated into policy.

Interdisciplinary work should assess trade\uffe2\uff80\uff90offs and synergies between soils and other domains.

Integrating monitoring and modelling is key for robust and sustainable soils\uffe2\uff80\uff90based policymaking.

There is a clear need for transformative change in the land management and food production sectors to address the global land challenges of climate change mitigation, climate change adaptation, combatting land degradation and desertification, and delivering food security (referred to hereafter as \uffe2\uff80\uff9cland challenges\uffe2\uff80\uff9d). We assess the potential for 40 practices to address these land challenges and find that: Nine options deliver medium to large benefits for all four land challenges. A further two options have no global estimates for adaptation, but have medium to large benefits for all other land challenges. Five options have large mitigation potential (>3\uffc2\uffa0Gt CO2eq/year) without adverse impacts on the other land challenges. Five options have moderate mitigation potential, with no adverse impacts on the other land challenges. Sixteen practices have large adaptation potential (>25 million people benefit), without adverse side effects on other land challenges. Most practices can be applied without competing for available land. However, seven options could result in competition for land. A large number of practices do not require dedicated land, including several land management options, all value chain options, and all risk management options. Four options could greatly increase competition for land if applied at a large scale, though the impact is scale and context specific, highlighting the need for safeguards to ensure that expansion of land for mitigation does not impact natural systems and food security. A number of practices, such as increased food productivity, dietary change and reduced food loss and waste, can reduce demand for land conversion, thereby potentially freeing\uffe2\uff80\uff90up land and creating opportunities for enhanced implementation of other practices, making them important components of portfolios of practices to address the combined land challenges.IRON\uffe2\uff80\uff90REGULATED TRANSPORTER1 (IRT1) is the root high\uffe2\uff80\uff90affinity ferrous iron (Fe) uptake system and indispensable for the completion of the life cycle of Arabidopsis thaliana without vigorous Fe supplementation. Here we provide evidence supporting a second role of IRT1 in root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot partitioning of Fe. We show that irt1 mutants overaccumulate Fe in roots, most prominently in the cortex of the differentiation zone in irt1\uffe2\uff80\uff902, compared to the wild type. Shoots of irt1\uffe2\uff80\uff902 are severely Fe\uffe2\uff80\uff90deficient according to Fe content and marker transcripts, as expected. We generated irt1\uffe2\uff80\uff902 lines producing IRT1 mutant variants carrying single amino\uffe2\uff80\uff90acid substitutions of key residues in transmembrane helices IV and V, Ser206 and His232, which are required for transport activity in yeast. Root short\uffe2\uff80\uff90term 55Fe uptake rates were uninformative concerning IRT1\uffe2\uff80\uff90mediated transport. Overall irt1\uffe2\uff80\uff90like concentrations of the secondary substrate Mn suggested that the transgenic Arabidopsis lines also remain incapable of IRT1\uffe2\uff80\uff90mediated root Fe uptake. Yet, IRT1S206A partially complements rosette dwarfing and leaf chlorosis of irt1\uffe2\uff80\uff902, as well as root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot Fe partitioning and gene expression defects of irt1\uffe2\uff80\uff902, all of which are fully complemented by wild\uffe2\uff80\uff90type IRT1. Taken together, these results suggest a regulatory function for IRT1 in root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot Fe partitioning that does not require Fe transport activity of IRT1. Among the genes of which transcript levels are partially dependent on IRT1, we identify MYB DOMAIN PROTEIN10, MYB DOMAIN PROTEIN72 and NICOTIANAMINE SYNTHASE4 as candidates for effecting IRT1\uffe2\uff80\uff90dependent Fe mobilization in roots. Understanding the biological functions of IRT1 will help to improve Fe nutrition and the nutritional quality of agricultural crops.Sustainable agriculture has been identified as key to achieving the 2030 Agenda for the Sustainable Development Goals, which aims to end poverty and hunger and address climate change while maintaining natural resources. Soil organic carbon (SOC) sequestration is a key soil function for ecosystem services, and storing carbon (C) in soil by changing traditional management practices can represent an important step toward the development of more sustainable agricultural systems in Europe. Within the European project Diverfarming, the process-based ecosystem model ECOSSE was modified and evaluated in four long-term experiments (>8 years) to assess the impact of crop diversification and agricultural management in SOC dynamics. ECOSSE was able to simulate SOC under dry conditions in Mediterranean regions in Spain and Italy. In the site of Murcia, Spain, the addition of manure and cover crop in the diversified systems produced an increase of SOC in 9\uffc2\uffa0years, when compared with the conventional management (16% measured increase, 32% simulated increase). The effect of tillage management on SOC stock in dry soil, in Foggia, Italy and Huesca, Spain, was also modeled, and a positive impact on SOC was predicted when no tillage was practiced. Finally, ECOSSE was used to understand the impact of diversifications in Boreal regions, Finland, where different proportions of legumes and grass were considered in a 4-year crop rotation compared with conventional cereal rotations. Experiments and modeling showed that the loss of SOC in conventional cereal was compensated when grass was introduced in the rotations. A good agreement (NRMSE <10%) and a nonsignificant bias were observed between model and experimental data for all sites. Mitigation scenarios considered in the modeling analysis for the test site Huesca showed that an integrated management of no tillage and manure is the best strategy to increase SOC, \uffe2\uff88\uffbc51% over 20\uffc2\uffa0years, compared with the baseline scenario (current farmers practice). This study demonstrated the ability of the modified version of ECOSSE to simulate SOC dynamics in diversified cropping systems, with various soil management practices and different climatic conditions.

", "keywords": ["2. Zero hunger", "550", "Sustainable agriculture", "1. No poverty", "mediterranean", "modeling", "04 agricultural and veterinary sciences", "Mediterranean", "ta4111", "15. Life on land", "End hunger", " achieve food security and improved nutrition and promote sustainable agriculture", "630", "12. Responsible consumption", "Environmental sciences", "soil organic carbon", "sustainable agriculture", "http://metadata.un.org/sdg/2", "13. Climate action", "11. Sustainability", "ECOSSE", "boreal", "0401 agriculture", " forestry", " and fisheries", "GE1-350"]}, "links": [{"href": "https://doi.org/10.3389/fenvs.2022.819162"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Environmental%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fenvs.2022.819162", "name": "item", "description": "10.3389/fenvs.2022.819162", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fenvs.2022.819162"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-08T00:00:00Z"}}, {"id": "10.3390/atmos13010103", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:19Z", "type": "Journal Article", "created": "2022-01-10", "title": "Long-Term Dynamic of Cold Stress during Heading and Flowering Stage and Its Effects on Rice Growth in China", "description": "

Short episodes of low-temperature stress during reproductive stages can cause significant crop yield losses, but our understanding of the dynamics of extreme cold events and their impact on rice growth and yield in the past and present climate remains limited. In this study, by analyzing historical climate, phenology and yield component data, the spatial and temporal variability of cold stress during the rice heading and flowering stages and its impact on rice growth and yield in China was characterized. The results showed that cold stress was unevenly distributed throughout the study region, with the most severe events observed in the Yunnan Plateau with altitudes higher than 1800 m. With the increasing temperature, a significant decreasing trend in cold stress was observed across most of the three ecoregions after the 1970s. However, the phenological-shift effects with the prolonged growing period during the heading and flowering stages have slowed down the cold stress decreasing trend and led to an underestimation of the magnitude of cold stress events. Meanwhile, cold stress during heading and flowering will still be a potential threat to rice production. The cold stress-induced yield loss is related to both the intensification of extreme cold stress and the contribution of related components to yield in the three regions.

", "keywords": ["2. Zero hunger", "climate change; cold stress; yield variability; rice growth; food security", "rice growth", "food security", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "climate change", "13. Climate action", "Meteorology. Climatology", "cold stress", "0401 agriculture", " forestry", " and fisheries", "QC851-999", "yield variability", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Zhenwang Li, Zhengchao Qiu, Haixiao Ge, Changwen Du,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2073-4433/13/1/103/pdf"}, {"href": "https://doi.org/10.3390/atmos13010103"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/atmos13010103", "name": "item", "description": "10.3390/atmos13010103", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/atmos13010103"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-10T00:00:00Z"}}, {"id": "10.3390/rs13091769", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:27Z", "type": "Journal Article", "created": "2021-05-02", "title": "A Scalable Machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data", "description": "

The demand for rice production in Asia is expected to increase by 70% in the next 30 years, which makes evident the need for a balanced productivity and effective food security management at a national and continental level. Consequently, the timely and accurate mapping of paddy rice extent and its productivity assessment is of utmost significance. In turn, this requires continuous area monitoring and large scale mapping, at the parcel level, through the processing of big satellite data of high spatial resolution. This work designs and implements a paddy rice mapping pipeline in South Korea that is based on a time-series of Sentinel-1 and Sentinel-2 data for the year of 2018. There are two challenges that we address; the first one is the ability of our model to manage big satellite data and scale for a nationwide application. The second one is the algorithm\uffe2\uff80\uff99s capacity to cope with scarce labeled data to train supervised machine learning algorithms. Specifically, we implement an approach that combines unsupervised and supervised learning. First, we generate pseudo-labels for rice classification from a single site (Seosan-Dangjin) by using a dynamic k-means clustering approach. The pseudo-labels are then used to train a Random Forest (RF) classifier that is fine-tuned to generalize in two other sites (Haenam and Cheorwon). The optimized model was then tested against 40 labeled plots, evenly distributed across the country. The paddy rice mapping pipeline is scalable as it has been deployed in a High Performance Data Analytics (HPDA) environment using distributed implementations for both k-means and RF classifiers. When tested across the country, our model provided an overall accuracy of 96.69% and a kappa coefficient 0.87. Even more, the accurate paddy rice area mapping was returned early in the year (late July), which is key for timely decision-making. Finally, the performance of the generalized paddy rice classification model, when applied in the sites of Haenam and Cheorwon, was compared to the performance of two equivalent models that were trained with locally sampled labels. The results were comparable and highlighted the success of the model\uffe2\uff80\uff99s generalization and its applicability to other regions.

", "keywords": ["semi-supervised learning", "2. Zero hunger", "Science", "Q", "0211 other engineering and technologies", "food security", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "high performance computing", "pseudo-labeling", "0401 agriculture", " forestry", " and fisheries", "paddy rice mapping", "distributed learning", "pseudo-labeling; paddy rice mapping; distributed learning; semi-supervised learning; food security; high performance computing"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/9/1769/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/9/1769/pdf"}, {"href": "https://doi.org/10.3390/rs13091769"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13091769", "name": "item", "description": "10.3390/rs13091769", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13091769"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-01T00:00:00Z"}}, {"id": "10.3390/rs15071766", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:28Z", "type": "Journal Article", "created": "2023-03-27", "title": "Monitoring of Land Degradation in Greece and Tunisia Using Trends.Earth with a Focus on Cereal Croplands", "description": "

Land degradation (LD) processes are widespread in drylands worldwide and are accelerated by climate change. As a result, food security and livelihoods are at risk. Thus, there is a need to monitor LD trends, especially in agricultural areas. Mediterranean countries, including Tunisia and Greece, are concerned due to the presence of drivers and pressures causing land degradation. Through the Trends.Earth plugin, the SDG 15.3.1 indicator can be implemented to map LD status. In this study, we mapped LD in Greece and Tunisia for the recommended baseline period of 2001\u20132015 and the selected reporting period of 2016\u20132020. The land productivity was assessed within Trends.Earth using the MODIS MOD13Q1 product, while the default datasets were used for the other sub-indicators. The main findings are: (i) the percentage of degraded land decreased from the baseline to the reporting period from 4.83% to 2.62% of total area in Greece and 9.97% to 6.26% in Tunisia\u2014degradation rates that differ from those reported to the UNCCD (United Nations Convention to Combat Desertification) by the respective national authorities; (ii) the dominant land condition in Greece was improved, while in Tunisia, it was stable; (iii) land productivity presented a similar trend through the SDG 15.3.1 indicator over both countries, including the net land productivity dynamics over croplands; (iv) based on analysis using plant functional types performed with MODIS MCD12Q1, the highest portion of degraded land in Greece was located in grasslands and in Tunisia in cereal croplands (after desert areas); and (v) with a focus on LD over cereal croplands, the portion of degraded areas appeared to decrease in both Greece and Tunisia. The percentage was higher in Tunisia, representing 16.52% of the total degraded land during the reporting period compared to 10.83% in Greece. All the above stress the need to foster the adoption of sustainable land management practices, especially in Tunisia, and speed up the implementation of measures to achieve LD neutrality.

", "keywords": ["2. Zero hunger", "land degradation", "Science", "Q", "1. No poverty", "SDG 15.3.1 indicator", "food security", "15. Life on land", "land degradation; land productivity; Trends.Earth; SDG 15.3.1 indicator; food security", "Trends.Earth", "land productivity", "12. Responsible consumption", "13. Climate action", "11. Sustainability"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/15/7/1766/pdf"}, {"href": "https://www.mdpi.com/2072-4292/15/7/1766/pdf"}, {"href": "https://doi.org/10.3390/rs15071766"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs15071766", "name": "item", "description": "10.3390/rs15071766", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs15071766"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-25T00:00:00Z"}}, {"id": "10.3390/su122410596", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:30Z", "type": "Journal Article", "created": "2020-12-21", "title": "Farm-Scale Biofuel Crop Adoption and Its Effects on In-Basin Water Balance", "description": "

In the face of future climate change, Europe has encouraged the adoption of biofuel crops by its farmers. Such land-use changes can have significant impacts on the water balance and hydrological behavior of a system. While the heavy pesticide use associated with biofuel crops has been extensively studied, the water balance impacts of these crops have been far less studied. We conducted scenario analyses using the Soil and Water Assessment Tool (SWAT) to determine the effects of farm-scale biofuel crop adoption (rapeseed) on a basin\uffe2\uff80\uff99s water balance. We found that rapeseed adoption does not support the goal of developing a sustainable agricultural landscape in the Czech Republic. The adoption of rapeseed also had disproportionate effects on a basin\uffe2\uff80\uff99s water balance depending on its location in the basin. Additionally, discharge (especially surface runoff ratios), evapotranspiration, and available soil water content display significant shifts in the rapeseed adoption scenarios.

", "keywords": ["2. Zero hunger", "biofuel crop", "Sustainable agriculture", "0207 environmental engineering", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "End hunger", " achieve food security and improved nutrition and promote sustainable agriculture", "7. Clean energy", "6. Clean water", "sustainable agriculture", "water balance", "http://metadata.un.org/sdg/2", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "SWAT model", "Water balance", "Biofuel crop"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/24/10596/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/24/10596/pdf"}, {"href": "https://doi.org/10.3390/su122410596"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su122410596", "name": "item", "description": "10.3390/su122410596", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su122410596"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-18T00:00:00Z"}}, {"id": "10.5281/zenodo.6413955", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:21:07Z", "type": "Dataset", "title": "Realistic soil carbon sequestration considering food security and climate change", "description": "This dataset contains soil organic carbon stocks as described in Keel et al. Global Change Biology (submitted) Annual soil organic carbon (SOC) stocks (t C ha-1, 0-30 cm depth) of Swiss agricultural soils simulated with the model RothC for the years 2020-2100. Simulations were performed for 240 strata (regions with similar agricultural production types, climatic conditions and clay content). The SOC stocks are weighted averages across strata for the national scale.
Each column contains SOC stocks for a specific combination of a climate model chains (nine in total) and an emission scenario (three in total: RCP 26, RCP 45, RCP 85) (specified in column header). The results include simulated SOC stocks for a baseline scenario and five soil carbon sequestration (SCS) scenarios (cover crops, biochar amendment at two rates, biochar amendment based on biomass from two agroforestry scenarios).
The SCS scenarios were only performed on cropland, therefore there is only a single file for grassland (the baseline scenario).
All simulations (i.e. baseline as well as the five scenarios) account for changes in crop shares and organic matter additions associated with growing food demand as well as climate change. The scenarios are described in Keel et al. Global Change Biology (submitted) CL_baseline: Baseline scenario for cropland (CL)
GL_baseline: Baseline scenario for permanent grassland (GL)
CL_cover_crops: Cover crop scenario for cropland
CL_biochar_I: Biochar I scenario for cropland
CL_biochar_II: Biochar II scenario for cropland
CL_agroforestry_I: Agroforestry I scenario for cropland
CL_agroforestry_II: Agroforestry II scenario for cropland", "keywords": ["2. Zero hunger", "13. Climate action", "soil organic carbon", " negative emission technology", " carbon dioxide removal", " 4p1000", " climate change", " population growth", " food security", " soil carbon modelling", " biomass availability", " RothC", " biochar", " cover crops", " agroforestry", "15. Life on land", "7. Clean energy"], "contacts": [{"organization": "Keel, Sonja G.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6413955"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6413955", "name": "item", "description": "10.5281/zenodo.6413955", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6413955"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-05T00:00:00Z"}}, {"id": "10.5281/zenodo.8092635", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:21:18Z", "type": "Journal Article", "created": "2022-01-10", "title": "Long-Term Dynamic of Cold Stress during Heading and Flowering Stage and Its Effects on Rice Growth in China", "description": "

Short episodes of low-temperature stress during reproductive stages can cause significant crop yield losses, but our understanding of the dynamics of extreme cold events and their impact on rice growth and yield in the past and present climate remains limited. In this study, by analyzing historical climate, phenology and yield component data, the spatial and temporal variability of cold stress during the rice heading and flowering stages and its impact on rice growth and yield in China was characterized. The results showed that cold stress was unevenly distributed throughout the study region, with the most severe events observed in the Yunnan Plateau with altitudes higher than 1800 m. With the increasing temperature, a significant decreasing trend in cold stress was observed across most of the three ecoregions after the 1970s. However, the phenological-shift effects with the prolonged growing period during the heading and flowering stages have slowed down the cold stress decreasing trend and led to an underestimation of the magnitude of cold stress events. Meanwhile, cold stress during heading and flowering will still be a potential threat to rice production. The cold stress-induced yield loss is related to both the intensification of extreme cold stress and the contribution of related components to yield in the three regions.

", "keywords": ["2. Zero hunger", "climate change; cold stress; yield variability; rice growth; food security", "rice growth", "food security", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "climate change", "13. Climate action", "Meteorology. Climatology", "cold stress", "0401 agriculture", " forestry", " and fisheries", "QC851-999", "yield variability", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Zhenwang Li, Zhengchao Qiu, Haixiao Ge, Changwen Du,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2073-4433/13/1/103/pdf"}, {"href": "https://doi.org/10.5281/zenodo.8092635"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8092635", "name": "item", "description": "10.5281/zenodo.8092635", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8092635"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-10T00:00:00Z"}}, {"id": "10261/250542", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:21:55Z", "type": "Other", "title": "Mejores pr\u00e1cticas de manejo para el uso optimizado del suelo y el agua en la agricultura", "description": "Open AccessPeer reviewed", "keywords": ["China", "http://metadata.un.org/sdg/2", "Buenas condiciones agr\u00edcolas y medioambientales", "Conservaci\u00f3n del suelo", "Conservaci\u00f3n del agua", "Pol\u00edtica agr\u00edcola com\u00fan", "Europa", "End hunger", " achieve food security and improved nutrition and promote sustainable agriculture"], "contacts": [{"organization": "G\u00f3mez Calero, Jos\u00e9 Alfonso, Kr\u00e1sa, Josef, Quinton, J. N., Klik, Andreas, Fereres Castiel, El\u00edas, Intrigliolo, Diego S., Chen, L., Strauss, Peter, Yun, X., Dost\u00e1l, Tom\u00e1\u0161,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10261/250542"}, {"rel": "self", "type": "application/geo+json", "title": "10261/250542", "name": "item", "description": "10261/250542", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/250542"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10261/253178", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:21:56Z", "type": "Journal Article", "created": "2020-12-21", "title": "Farm-Scale Biofuel Crop Adoption and Its Effects on In-Basin Water Balance", "description": "

In the face of future climate change, Europe has encouraged the adoption of biofuel crops by its farmers. Such land-use changes can have significant impacts on the water balance and hydrological behavior of a system. While the heavy pesticide use associated with biofuel crops has been extensively studied, the water balance impacts of these crops have been far less studied. We conducted scenario analyses using the Soil and Water Assessment Tool (SWAT) to determine the effects of farm-scale biofuel crop adoption (rapeseed) on a basin\u2019s water balance. We found that rapeseed adoption does not support the goal of developing a sustainable agricultural landscape in the Czech Republic. The adoption of rapeseed also had disproportionate effects on a basin\u2019s water balance depending on its location in the basin. Additionally, discharge (especially surface runoff ratios), evapotranspiration, and available soil water content display significant shifts in the rapeseed adoption scenarios.

", "keywords": ["2. Zero hunger", "biofuel crop", "Sustainable agriculture", "0207 environmental engineering", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "End hunger", " achieve food security and improved nutrition and promote sustainable agriculture", "7. Clean energy", "6. Clean water", "sustainable agriculture", "water balance", "http://metadata.un.org/sdg/2", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "SWAT model", "Water balance", "Biofuel crop"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/24/10596/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/24/10596/pdf"}, {"href": "https://doi.org/10261/253178"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/253178", "name": "item", "description": "10261/253178", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/253178"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-18T00:00:00Z"}}, {"id": "11343/310023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:22:10Z", "type": "Journal Article", "created": "2021-11-28", "title": "Root\u2010to\u2010shoot iron partitioning in Arabidopsis requires IRON\u2010REGULATED TRANSPORTER1 (IRT1) protein but not its iron(II) transport function", "description": "SUMMARY

IRON\uffe2\uff80\uff90REGULATED TRANSPORTER1 (IRT1) is the root high\uffe2\uff80\uff90affinity ferrous iron (Fe) uptake system and indispensable for the completion of the life cycle of Arabidopsis thaliana without vigorous Fe supplementation. Here we provide evidence supporting a second role of IRT1 in root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot partitioning of Fe. We show that irt1 mutants overaccumulate Fe in roots, most prominently in the cortex of the differentiation zone in irt1\uffe2\uff80\uff902, compared to the wild type. Shoots of irt1\uffe2\uff80\uff902 are severely Fe\uffe2\uff80\uff90deficient according to Fe content and marker transcripts, as expected. We generated irt1\uffe2\uff80\uff902 lines producing IRT1 mutant variants carrying single amino\uffe2\uff80\uff90acid substitutions of key residues in transmembrane helices IV and V, Ser206 and His232, which are required for transport activity in yeast. Root short\uffe2\uff80\uff90term 55Fe uptake rates were uninformative concerning IRT1\uffe2\uff80\uff90mediated transport. Overall irt1\uffe2\uff80\uff90like concentrations of the secondary substrate Mn suggested that the transgenic Arabidopsis lines also remain incapable of IRT1\uffe2\uff80\uff90mediated root Fe uptake. Yet, IRT1S206A partially complements rosette dwarfing and leaf chlorosis of irt1\uffe2\uff80\uff902, as well as root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot Fe partitioning and gene expression defects of irt1\uffe2\uff80\uff902, all of which are fully complemented by wild\uffe2\uff80\uff90type IRT1. Taken together, these results suggest a regulatory function for IRT1 in root\uffe2\uff80\uff90to\uffe2\uff80\uff90shoot Fe partitioning that does not require Fe transport activity of IRT1. Among the genes of which transcript levels are partially dependent on IRT1, we identify MYB DOMAIN PROTEIN10, MYB DOMAIN PROTEIN72 and NICOTIANAMINE SYNTHASE4 as candidates for effecting IRT1\uffe2\uff80\uff90dependent Fe mobilization in roots. Understanding the biological functions of IRT1 will help to improve Fe nutrition and the nutritional quality of agricultural crops.There is a clear need for transformative change in the land management and food production sectors to address the global land challenges of climate change mitigation, climate change adaptation, combatting land degradation and desertification, and delivering food security (referred to hereafter as \uffe2\uff80\uff9cland challenges\uffe2\uff80\uff9d). We assess the potential for 40 practices to address these land challenges and find that: Nine options deliver medium to large benefits for all four land challenges. A further two options have no global estimates for adaptation, but have medium to large benefits for all other land challenges. Five options have large mitigation potential (>3\uffc2\uffa0Gt CO2eq/year) without adverse impacts on the other land challenges. Five options have moderate mitigation potential, with no adverse impacts on the other land challenges. Sixteen practices have large adaptation potential (>25 million people benefit), without adverse side effects on other land challenges. Most practices can be applied without competing for available land. However, seven options could result in competition for land. A large number of practices do not require dedicated land, including several land management options, all value chain options, and all risk management options. Four options could greatly increase competition for land if applied at a large scale, though the impact is scale and context specific, highlighting the need for safeguards to ensure that expansion of land for mitigation does not impact natural systems and food security. A number of practices, such as increased food productivity, dietary change and reduced food loss and waste, can reduce demand for land conversion, thereby potentially freeing\uffe2\uff80\uff90up land and creating opportunities for enhanced implementation of other practices, making them important components of portfolios of practices to address the combined land challenges.The importance of soils to society has gained increasing recognition over the past decade, with the potential to contribute to most of the United Nations\uffe2\uff80\uff99 Sustainable Development Goals (SDGs). With unprecedented and growing demands for food, water and energy, there is an urgent need for a global effort to address the challenges of climate change and land degradation, whilst protecting soil as a natural resource. In this paper, we identify the contribution of soil science over the past decade to addressing gaps in our knowledge regarding major environmental challenges: climate change, food security, water security, urban development, and ecosystem functioning and biodiversity. Continuing to address knowledge gaps in soil science is essential for the achievement of the SDGs. However, with limited time and budget, it is also pertinent to identify effective methods of working that ensure the research carried out leads to real\uffe2\uff80\uff90world impact. Here, we suggest three strategies for the next decade of soil science, comprising a greater implementation of research into policy, interdisciplinary partnerships to evaluate function trade\uffe2\uff80\uff90offs and synergies between soils and other environmental domains, and integrating monitoring and modelling methods to ensure soil\uffe2\uff80\uff90based policies can withstand the uncertainties of the future.

Highlights

We highlight the contributions of soil science to five major environmental challenges since 2010.

Researchers have contributed to recommendation reports, but work is rarely translated into policy.

Interdisciplinary work should assess trade\uffe2\uff80\uff90offs and synergies between soils and other domains.

Integrating monitoring and modelling is key for robust and sustainable soils\uffe2\uff80\uff90based policymaking.

", "keywords": ["330", "550", "QH301 Biology", "Sustainable Development Goals", "NE/R016429/1", "Urban development", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "01 natural sciences", "333", "Ecosystems", "12. Responsible consumption", "QH301", "11. Sustainability", "SDG 13 - Climate Action", "774378", "Climate change", "SDG 2 - Zero Hunger", "European Commission", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "869625", "SDG 15 - Life on Land", "biodiversity", "0105 earth and related environmental sciences", "2. Zero hunger", "Natural Environment Research Council (NERC)", "NE/P019455/1", "biodiversity; climate change; ecosystems; food security; sustainable development goals; urban development; water security", "Food security", "Biodiversity", "food security", "15. Life on land", "sustainable development goals", "water security", "urban development", "[SHS.SCIPO]Humanities and Social Sciences/Political science", "6. Clean water", "climate change", "13. Climate action", "Water security", "ecosystems", "[SHS.SCIPO] Humanities and Social Sciences/Political science"]}, "links": [{"href": "http://livrepository.liverpool.ac.uk/3157809/1/2021%20Evans%20et%20al%20-%20European%20Journal%20of%20Soil%20Science.pdf"}, {"href": "https://eprints.lancs.ac.uk/id/eprint/157184/1/Evans_etal_2021_Decade.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/ejss.13145"}, {"href": "https://doi.org/2164/18196"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2164/18196", "name": "item", "description": "2164/18196", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2164/18196"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-26T00:00:00Z"}}, {"id": "3112227591", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:23:02Z", "type": "Journal Article", "created": "2020-12-21", "title": "Farm-Scale Biofuel Crop Adoption and Its Effects on In-Basin Water Balance", "description": "

In the face of future climate change, Europe has encouraged the adoption of biofuel crops by its farmers. Such land-use changes can have significant impacts on the water balance and hydrological behavior of a system. While the heavy pesticide use associated with biofuel crops has been extensively studied, the water balance impacts of these crops have been far less studied. We conducted scenario analyses using the Soil and Water Assessment Tool (SWAT) to determine the effects of farm-scale biofuel crop adoption (rapeseed) on a basin\u2019s water balance. We found that rapeseed adoption does not support the goal of developing a sustainable agricultural landscape in the Czech Republic. The adoption of rapeseed also had disproportionate effects on a basin\u2019s water balance depending on its location in the basin. Additionally, discharge (especially surface runoff ratios), evapotranspiration, and available soil water content display significant shifts in the rapeseed adoption scenarios.

", "keywords": ["2. Zero hunger", "biofuel crop", "Sustainable agriculture", "0207 environmental engineering", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "End hunger", " achieve food security and improved nutrition and promote sustainable agriculture", "7. Clean energy", "6. Clean water", "sustainable agriculture", "water balance", "http://metadata.un.org/sdg/2", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "SWAT model", "Water balance", "Biofuel crop"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/12/24/10596/pdf"}, {"href": "https://www.mdpi.com/2071-1050/12/24/10596/pdf"}, {"href": "https://doi.org/3112227591"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3112227591", "name": "item", "description": "3112227591", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3112227591"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-18T00:00:00Z"}}, {"id": "3114970092", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:23:03Z", "type": "Dataset", "title": "Science for policy 6: Urban planning: sealing the future of soil functions - datasets?", "description": "Open AccessThis dataset is part of Deliverable and 5.3 and produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO6_BAU_NoZoning_50.shp PO6_BAU_NoZoning_100.shp PO6_BAU_Zoning_50.shp PO6_Sprawl_Zoning_50.shp PO6_BAU_NoZoning_50.shp PO6_Compact_Zoning_50.shp PO6_Compact_NoZoning_50.shp The metronamica Model was applied on six scenarios with combinations of business as usual, suburban sprawl or compact city development which build on the socio-economic projections and density assumptions of the ESPON-ET2050 project, and use the land use allocation parameters from the RECARE and SoilCare Integrated Assessment Models. Spatial development (zoning) was for some scenarios restricted in high productive fields. The model results give probabilities (0 \u2013 1) of urban development within the 1 km\u00b2 cells. Based on these probability percentages the different soil functions are reduced (100% of the probability and 50% of the probability) compared to the current soil functioning and, for the 50% scenarios, partly replaced by low productive grasslands as gardens and other public greenery. Z-scores are calculated from the spatial SF maps for each of the environmental zones. These environmental zones are derived from the Metzger et al. (2013). The z-scores give the signed fractional number of standard deviations by which SF means for an environmental zone are above or below the mean value and allow us indicate which areas have a higher or lower soil function performance compared to the mean value. Z-scores from the current SF maps and scenario maps were then compared to each other to calculate the change in z-scores. This change in z-scores is given in the shapefiles and describes the relative change in soil function performance. Positive values indicate an improvement in soil functioning compared to the current situation, negative values a decrease. More information regarding calculation and interpretation of both this dataset and the soil function maps used to calculate the z-scores can be found in: Vrebos D., F. Bampa, R. Creamer, A. Jones, E. Lugato, L. O\u2019Sullivan, P. Meire, R.P.O. Schulte, J. Schr\u00f6der and J. Staes (2018). Scenarios maps: visualizing optimized scenarios where supply of soil functions matches demands. LANDMARK Report 4.3. and Jones A. et al. (2019). An options document to propose future policy tools for functional soil management. LANDMARK 5.3. All available from www.landmark2020.eu.", "keywords": ["Water resources", "Food Safety", "Food Safety and Toxicology", "Nutritional Sciences", "Social Sciences", "7. Clean energy", "Pathology and Forensic Medicine", "Health and Life Sciences", "Farming Systems and Practices", "11. Sustainability", "13. Climate action", "Agriculture", " Forestry", " Horticulture", "Human Health and Pathology", "Soils and soil sciences", "Agricultural Sciences", "Life Sciences", "Hydrology and Hydrogeology", "15. Life on land", "Rural and Agricultural Sociology", "Human Nutrition and food security", "Farming Systems", "Medicine", " Health and Life Sciences", "Earth and Environmental Sciences", "Soil Sciences", "Medicine", "Geosciences"], "contacts": [{"organization": "Vrebos, Dirk, Bampa, Francesca, Schulte, Rogier, Creamer, Rachel, Jones, Arwyn, Staes, Jan, Zwetsloot Marie, Debernardini, Mariana, O\u2019Sullivan, Lilian,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/3114970092"}, {"rel": "self", "type": "application/geo+json", "title": "3114970092", "name": "item", "description": "3114970092", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3114970092"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=+food+security&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=+food+security&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=+food+security&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=+food+security&offset=19", "hreflang": "en-US"}], "numberMatched": 19, "numberReturned": 19, "distributedFeatures": [], "timeStamp": "2026-09-23T03:36:07.700843Z"}