{"type": "FeatureCollection", "features": [{"id": "10.1016/j.radmeas.2019.106221", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:52Z", "type": "Journal Article", "created": "2019-11-19", "title": "Bleaching studies on Al-hole ([AlO4/h]0) electron spin resonance (ESR) signal in sedimentary quartz", "description": "Abstract Electron spin resonance (ESR) dating of sediments using quartz is most commonly used for older sediments (>100 ka), since large residuals render the ESR signal unsuitable for dating young sediments. The multiple-centre approach (utilising both Ti and [AlO4/h]0 signals) is usually used to test the resetting of the signals used for ESR dating. Here we work towards a better understanding of, and correction for, the residual signal in ESR samples of sedimentary quartz. We undertook multiple-centre ESR measurements using quartz [AlO4/h]0 and Ti signals on young aeolian samples of different grain sizes which have been independently dated using optically stimulated luminescence (OSL). Our results demonstrate that [AlO4/h]0 signal yields residuals indicating equivalent doses of about 500\u00a0Gy, substantially older than expected for the known OSL equivalent doses in the range of 8\u201337\u00a0Gy. The decay of [AlO4/h]0 signal as function of bleaching time can be represented by an exponential function. We investigate the dependence of the residual magnitude of the ESR signal as a function of the previous given dose and observe an exponential increase in the residual signal with dose. Such observations are consistent with the results of luminescence process modelling conducted for a model comprising two luminescence centres and several traps, one of which is a so-called deep disconnected trap that cannot be emptied during optical stimulation. We propose that bleaching occurs through an electron-hole recombination process with electrons released from optically sensitive traps. In addition to our new insights into the bleaching mechanisms of the [AlO4/h]0 ESR signal, we discuss the implications for the procedures used for performing residual dose corrections in ESR dating. We recommend that modern analogues be used in addition to laboratory-bleached samples when performing residual dose corrections.", "keywords": ["ESR dating", "Sedimentary quartz", "03 medical and health sciences", "0302 clinical medicine", "Residual", "Sedimentary quartz ESR dating[AlO4/h]0 Residual Bleaching Modelling", "[AlO4/h]0", "Bleaching", "01 natural sciences", "Modelling", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.radmeas.2019.106221"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Radiation%20Measurements", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.radmeas.2019.106221", "name": "item", "description": "10.1016/j.radmeas.2019.106221", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.radmeas.2019.106221"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.7856487", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:24:09Z", "type": "Dataset", "title": "HiLSS Project", "description": "This\u00a0repository is periodically updated. Historic Landscape and Soil Sustainability (MSCA-IF-2019 - Individual Fellowships) The HiLSS Project aims to investigate the relationships between sustainability and landscape heritage with particular reference to soil loss and degradation over the long term. The project will take a multidisciplinary approach that combines archaeology, Historical Landscape Characterisation (HLC), geosciences, and computer-based geospatial analysis (GIS - Geographical Information Systems) and modelling (RUSLE - Revisited Universal Soil Loss Equation). The research objectives of the HiLSS project are to quantify the impact of human activities during the Late Holocene in order to create spatial models which can inform the development of sustainable conservation strategies for rural landscape heritage. This project will focus on two mountainous regions that present historical and cultural similarities but located in different climatic zones of Europe (1- Tuscan-Emilian Apennines, Italy; 2- Northern-mid Galicia, Spain). In previous HLC studies, land-use has been evaluated from the perspective of cultural heritage, whereas RUSLE have used it as a proxy for the land-cover of an area and its effect on soil erosion. The HiLSS project will propose an innovative methodology that combines both the historic/cultural values and the environmental values of land-use to inform development of a model for the sustainable conservation. By considering the different agricultural land-use HLC types in GIS-RUSLE modelling, it will be possible to quantify the effect on soil loss for each HLC type and consequently to devise more environmentally sustainable management for each type. Environmental sustainability and historic landscape conservation are typically treated as two separate fields, but the HiLSS project will develop a transformative model for interdisciplinary research, proposing a new way to embrace both cultural and natural values as components of the same landscape management plans. HLC_RUSLE.zip The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: 'Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023)'. List of files included in HLC_RUSLE.zip: R_script_code named 'HLC_RUSLE'\u00a0in .rmd format Output folder: Figures folder: .png products of the R script code Rasters\u00a0folder: .png products of the R script code Tables\u00a0folder: .pdf\u00a0products of the R script code GeoTiff folder (.TIFF file format): Regional RUSLE\u00a0Data GPKG:\u00a0HLC dataset\u00a0and\u00a0Region Of Interest file in .gpkg format Spatial statistics to reveal patterns and connections in the historic landscape The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: '\u00a0F.\u00a0Brandolini & S.\u00a0Turner\u00a0(2022)\u00a0Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy),\u00a0Journal of Maps,\u00a0DOI:\u00a010.1080/17445647.2022.2088305.\u00a0'. It is available at:\u00a0https://doi.org/10.5281/zenodo.5907229 Supplementary material_Land _SI_Historic Landscape Evolution.zip Supplementary Materials to accompaing\u00a0the paper:\u00a0The evolution of historic agroforestry landscape in the Northern Apennines (Italy) and its consequences for slope geomorphic processes, submitted to\u00a0Land,\u00a0Special Issue\u00a0Historic Landscape Transformation. Project_Publications.zip List of .pdf file included in the folder:\u00a0 1) Brandolini F, Domingo-Ribas G, Zerboni A and Turner S. A Google Earth Engine-enabled Python approach for the identification of anthropogenic palaeo-landscape features [version 2; peer review: 2 approved, 1 approved with reservations]. Open Res Europe 2021,\u00a01:22\u00a0(https://doi.org/10.12688/openreseurope.13135.2) 2) Brandolini F., Turner S.\u00a0 2022 - Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy), \u00a0Journal of Maps,\u00a0 (https://doi.org/10.1080/17445647.2022.2088305) 3) Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. 2023 -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023), (https://doi.org/10.1038/s41598-023-31334-z) 4)\u00a0Brandolini, F., Compostella, C., Pelfini, M., and Turner, S. 2023 - 'The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes' Land 12, no. 5: 1054. (https://doi.org/10.3390/land12051054)", "keywords": ["2. Zero hunger", "13. Climate action", "Landscape Archaeology", "11. Sustainability", "RUSLE", "USPED", "15. Life on land", "Historic Landscape Characterisation", "Soil Sustainability", "Soil Erosion Modelling", "12. Responsible consumption"], "contacts": [{"organization": "Brandolini Filippo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7856487"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7856487", "name": "item", "description": "10.5281/zenodo.7856487", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7856487"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-10T00:00:00Z"}}, {"id": "10.5281/zenodo.17826824", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:23:42Z", "type": "Dataset", "title": "Carbon Sequestration Potential in Arable Soils of the Czech Republic \u2013 Values Aggregated at the District Level", "description": "unspecifiedThe dataset presents the results of simulations assessing the carbon sequestration potential of arable soils in the Czech Republic, utilising the EPIC-IIASA CZ simulation platform. It consists of outputs derived from the modelling of various agronomic scenarios at the district level (LAU1), incorporating three climate scenarios: RCP 2.6, 4.5, and 8.5. The data reflect the effects of four model cropping systems, differing levels of nitrogen and manure fertilisation intensity, residue management, and irrigation on the principal parameter\u2014namely, the change in average carbon content within soil organic matter in the top 30 cm of soil during the periods 2040\u20132060 (or 2080\u20132100), compared to the reference average for 2000\u20132020. This parameter is expressed as tonnes of carbon per hectare (t C ha\u207b\u00b9). For a given cropping system and its variants, the values indicate the potential for carbon sequestration over 40- and 80-year timescales. Structure of the database: Column name Meaning and description of values (categories) Values Example scenario Climate scenario identifier rcp26 / rcp45 / rcp85 timescale Length of the period for which the value is calculated (years) 40 / 80 system Code of the model cropping system (see detailed description) CpCm1 / ApCm1 / CpRg1 / ApRg1 irrigation Irrigation regime (rainfed, irrigated) rf / irr nfert Nitrogen fertilisation level (Nn = none / Nl = low / Nm = moderate / Nh = high). Level Nh means that for each crop, the annual dose is set to the maximum N application limit according to the Nitrate Directive. Nm = 60% Nh, Nl = 30% Nh, Nn = 0% Nh. Nn / Nl / Nm / Nh fmfert Share of total N dose applied in the form of manure (fm0 = 0 % / fm60 = 60 % / fm100 = 100 %). fm0 / fm60 / fm100 baler Post-harvest residue management (R0 = straw removed / R30 = 30 % remains in field / R60 = 60 % / R100 = 100 %) R0 / R30 / R60 / R100 poly_id Unique geographical code of the region (LAU 1 code). CZ0100 value Numeric value of the metric. Average increase (+) or decrease (-) of organic C content in the top 30 cm of soil (t ha-1) 4.989584358158098 The dataset contains 59,136 records.", "keywords": ["Carbon sequestration", "soil organic carbon", "carbon farming", "Climate change", "Modelling"], "contacts": [{"organization": "MADARAS, Mikul\u00e1\u0161, Skalsky, Rastislav, Balkovic, Juraj,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17826824"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17826824", "name": "item", "description": "10.5281/zenodo.17826824", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17826824"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-12-05T00:00:00Z"}}, {"id": "056534c0-b8b9-4cc6-8578-871e9710bcd5", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.33, 51.53], [12.33, 53.52], [14.99, 53.52], [14.99, 51.53], [12.33, 51.53]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - I4S's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - I4S and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-07-04", "type": "Service", "created": "2024-06-12", "language": "eng", "title": "Web Map Service of the dataset 'Soil data I4S Boo\u00dfen experiment 2020-2021'", "description": "This Web Map Service includes spatial information used by datasets 'Soil data I4S Boo\u00dfen experiment 2020-2021'", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index"], "contacts": [{"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Siyu Huang", "organization": "ZALF", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "siyu.huang@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0000-8713-5490", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=c48a62ac-3a63-4a92-9786-ad18702bf24b", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/I4S/ID_5401_Boossen_Brandenburg_2010_2021_samplepoint_1/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "056534c0-b8b9-4cc6-8578-871e9710bcd5", "name": "item", "description": "056534c0-b8b9-4cc6-8578-871e9710bcd5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/056534c0-b8b9-4cc6-8578-871e9710bcd5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-04T00:00:00Z"}}, {"id": "10.1002/eco.1810", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:14:13Z", "type": "Journal Article", "created": "2016-11-10", "title": "Increased complementarity in water-limited environments in Scots pine and European beech mixtures under climate change", "description": "Abstract

Management of mixedwoods is advocated as an effective adaptation strategy to increase ecosystem resiliency in the context of climate change. Although mixedwoods have been shown to have greater resource use efficiency relative to pure stands, considerable uncertainty remains with respect to the underlying ecological processes. We explored species interactions in Scots pine/European beech mixedwoods with the process\uffe2\uff80\uff90based model FORECAST Climate. The model was calibrated for two contrasting forests in the southwestern Pyrenees (northern Spain): a wet Mediterranean site at 625\uffc2\uffa0m.a.s.l. and a subalpine site at 1335\uffc2\uffa0m.a.s.l. Predicted mixedwood yield was higher than that for beech stands but lower than pine stands. When simulating climate change, mixedwood yield was reduced at the Mediterranean site (\uffe2\uff88\uff9233%) but increased at the subalpine site (+11%). Interaction effects were enhanced as stands developed. Complementarity dominated the Mediterranean stand but neutral or net competition dominated the subalpine stand, which had higher stand density and water availability. Reduced water demand and consumption, increased canopy interception, and improved water\uffe2\uff80\uff90use efficiency in mixtures compared to beech stands, suggest a release of beech intraspecific competition. Beech also facilitated pine growth through better litter quality, nonsymbiotic nitrogen fixation, and above\uffe2\uff80\uff90 and belowground stratification, leading to higher foliar nitrogen content and deeper canopies in pines. In conclusion, mixtures may improve water availability and use efficiency for beech and light interception for pine, the main limiting factors for each species, respectively. Encouraging pine\uffe2\uff80\uff93beech mixtures could be an effective adaptation to climate change in drought\uffe2\uff80\uff90prone sites in the Mediterranean region.

", "keywords": ["0106 biological sciences", "2. Zero hunger", "Interspecific competition", "13. Climate action", "Fagus sylvatica", "Mixedwoods", "Pinus sylvestris", "15. Life on land", "Species complementarity", "Intraspecific competition", "01 natural sciences", "6. Clean water", "Ecological modelling"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/eco.1810"}, {"href": "https://doi.org/10.1002/eco.1810"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecohydrology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/eco.1810", "name": "item", "description": "10.1002/eco.1810", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/eco.1810"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-25T00:00:00Z"}}, {"id": "10.1002/hyp.14966", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:14:15Z", "type": "Journal Article", "created": "2023-09-15", "title": "Testing CASE: A new event\u2010based Morgan\u2010Morgan\u2010Finney\u2010type erosion model for different rainfall experimental scenarios", "description": "Abstract

Every application of soil erosion models brings the need of proper parameterisation, that is, finding physically or conceptually plausible parameter values that allow a model to reproduce measured values. No universal approach for model parameterisation, calibration and validation exists, as it depends on the model, spatial and temporal resolution and the nature of the datasets used. We explored some existing options for parameterisation, calibration and validation for erosion modelling exemplary with a specific dataset and modelling approach. A new Morgan\uffe2\uff80\uff90Morgan\uffe2\uff80\uff90Finney (MMF)\uffe2\uff80\uff90type model was developed, representing a balanced position between physically\uffe2\uff80\uff90based and empirical modelling approaches. The resulting model termed \uffe2\uff80\uff98calculator for soil erosion\uffe2\uff80\uff99 (CASE), works in a spatially distributed way on the timescale of individual rainfall events. A dataset of 142 high\uffe2\uff80\uff90intensity rainfall experiments in Central Europe (AT, HU, IT, CZ), covering various slopes, soil types and experimental designs was used for calibration and validation with a modified Monte\uffe2\uff80\uff90Carlo approach. Subsequently, model parameter values were compared to parameter values obtained by alternative methods (measurements, pedotransfer functions, literature data). The model reproduced runoff and soil loss of the dataset in the validation setting with R2adj of 0.89 and 0.76, respectively. Satisfactory agreement for the water phase was found, with calibrated saturated hydraulic conductivity (ksat) values falling within the interquartile range of ksat predicted with 14 different pedotransfer functions, or being within one order of magnitude. The chosen approach also well reflected specific experimental setups contained in the dataset dealing with the effects of consecutive rainfall and different soil water conditions. For the sediment phase of the tested model agreement between calibrated cohesion, literature values and field measurements were only partially in line. The methods we explored may specifically be interesting for use with other MMF\uffe2\uff80\uff90type models, or with similar datasets.Global change is affecting soil biodiversity and functioning across all terrestrial ecosystems. Still, much is unknown about how soil biodiversity and function will change in the future in response to simultaneous alterations in climate and land use, as well as other environmental drivers. It is crucial to understand the direct, indirect\uffc2\uffa0and interactive effects of global change drivers on soil communities and ecosystems across environmental contexts, not only today but also in the near future. This is particularly relevant for international efforts to tackle climate change like the Paris Agreement, and considering the failure to achieve the 2020 biodiversity targets, especially the target of halting soil degradation. Here, we outline the main frontiers related to soil ecology that were presented and discussed at the thematic sessions of the World Biodiversity Forum 2022 in Davos, Switzerland. We highlight multiple frontiers of knowledge associated with data integration, causal inference, soil biodiversity and function scenarios, critical soil biodiversity facets, underrepresented drivers, global collaboration, knowledge application and transdisciplinarity, as well as policy and public communication. These identified research priorities are not only of immediate interest to the scientific community but may also be considered in research priority programmes and calls for funding.Streams and rivers act as landscape-scale bioreactors processing large quantities of terrestrial particulate organic matter (POM). This function is linked to their flow regime, which governs residence times, shapes organic matter reactivity and controls the amount of carbon (C) exported to the atmosphere and coastal oceans. Climate change impacts flow regimes by increasing both flash floods and droughts. Here, we used a modelling approach to explore the consequences of lateral hydrological contraction, that is, the reduction of the wet portion of the streambed, for POM decomposition and transport at the river network scale. Our model integrates seasonal leaf litter input as generator of POM, transient storage of POM on wet and dry streambed portions with associated decomposition and ensuing changes in reactivity, and transport dynamics through a dendritic river network. Simulations showed that the amount of POM exported from the river network and its average reactivity increased with lateral hydrological contraction, due to the combination of (1) low processing of POM while stored on dry streambeds, and (2) large shunting during flashy events. The sensitivity analysis further supported that high lateral hydrological contraction leads to higher export of higher reactivity POM, regardless of transport coefficient values, average reactivity of fresh leaf litter and differences between POM reactivity under wet and dry conditions. Our study incorporates storage in dry streambed areas into the pulse-shunt concept (Raymond and others in Ecology 97(1):5\uffe2\uff80\uff9316, 2016. https://doi.org/10.1890/14-1684.1), providing a mechanistic framework and testable predictions about leaf litter storage, transport and decomposition in fluvial networks.Root hairs play a significant role in phosphorus (P) extraction at the pore scale. However, their importance at the field scale remains poorly understood.

Methods

This study uses a continuum model to explore the impact of root hairs on the large-scale uptake of P, comparing root hair influence under different agricultural scenarios. High vs low and constant vs decaying P concentrations down the soil profile are considered, along with early vs late precipitation scenarios.

Results

Simulation results suggest root hairs accounted for 50% of total P uptake by plants. Furthermore, a delayed initiation time of precipitation potentially limits the P uptake rate by over 50% depending on the growth period. Despite the large differences in the uptake rate, changes in the soil P concentration in the domain due to root solute uptake remains marginal when considering a single growth season. However, over the duration of 6\uffc2\uffa0years, simulation results showed that noticeable differences arise over time.

Conclusion

Root hairs are critical to P capture, with uptake efficiency potentially enhanced by coordinating irrigation with P application during earlier growth stages of crops.

", "keywords": ["/dk/atira/pure/subjectarea/asjc/1100/1111", "0106 biological sciences", "330", "550", "EP/M020355/1", "ERC 646809 DIMR", "QH301 Biology", "/dk/atira/pure/subjectarea/asjc/1100/1110", "Soil Science", "A. B", "Field", "610", "Plant Science", "01 natural sciences", "NERC NE/L00237/1", "QH301", "Soil", "Plant roots", "Root hairs", "BBSRC SARIC BB/P004180/", "2. Zero hunger", "BBSRC SARISA BB/L025620/1. S. D.", "Mathematical modelling", "Natural Environment Research Council (NERC)", "name=Soil Science", "Water", "Phosphorus", "Regular Article", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Engineering and Physical Sciences Research Council (EPSRC)", "Rhizosphere", "Biotechnology and Biological Sciences Research Council (BBSRC)", "0401 agriculture", " forestry", " and fisheries", "name=Plant Science", "European Research Council"]}, "links": [{"href": "https://eprints.soton.ac.uk/434043/1/Manuscript_No_Tracked_Changes.pdf"}, {"href": "http://link.springer.com/content/pdf/10.1007/s11104-019-04308-2.pdf"}, {"href": "https://doi.org/10.1007/s11104-019-04308-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-019-04308-2", "name": "item", "description": "10.1007/s11104-019-04308-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-019-04308-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-06T00:00:00Z"}}, {"id": "10.1007/s11104-022-05438-w", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:15:15Z", "type": "Journal Article", "created": "2022-04-22", "title": "The potential of cover crops to increase soil organic carbon storage in German croplands", "description": "Abstract Aims

Soil organic carbon (SOC) stocks of croplands can be enhanced by targeted management, which boosts soil fertility and contributes to climate\uffc2\uffa0change mitigation. One SOC sequestration option is adopting cover crops. The aim of this study was to quantify the SOC sequestration potential of cover crops in Germany.

Methods

We simulated SOC scenarios on 1,267 cropland sites with site-specific management data using an SOC model ensemble consisting of RothC and C-TOOL. A new method was developed to estimate carbon input from cover crops that included the effects of climate, sowing date and species on cover crop biomass production.

Results

The recent cover crop area could be tripled to 30% of arable land in Germany. This would enhance total carbon input by 12% and increase SOC stocks by 35 Tg within 50 years, corresponding to an annual increase of 0.06 Mg C ha-1, 2.5 Tg CO2 or 0.8 per mill of current SOC stocks in 0\uffe2\uff80\uff9330\uffc2\uffa0cm depth. On sites with cover crops, 0.28\uffe2\uff80\uff930.33 Mg C ha-1 a-1 would be accumulated within 50 years. Our simulations predicted that even if the full potential for cover crop growth were realised, there would still be a decline in SOC stocks in German croplands within 50 years due to the underlining negative SOC trend.

Conclusions

Cover crops alone cannot turn croplands from carbon sources to sinks. However, growing them reduces bare fallow periods and SOC losses and thus is an effective climate change mitigation strategy in agriculture.

", "keywords": ["2. Zero hunger", "Research Article ; Carbon sequestration ; Modelling ; Carbon input ; Allometric function ; Climate change mitigation ; Environmental Sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "7. Clean energy", "ddc:"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s11104-022-05438-w.pdf"}, {"href": "https://doi.org/10.1007/s11104-022-05438-w"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-022-05438-w", "name": "item", "description": "10.1007/s11104-022-05438-w", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-022-05438-w"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-22T00:00:00Z"}}, {"id": "10.1016/J.JENVMAN.2019.04.120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:15:27Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/10.1016/J.JENVMAN.2019.04.120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/J.JENVMAN.2019.04.120", "name": "item", "description": "10.1016/J.JENVMAN.2019.04.120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/J.JENVMAN.2019.04.120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1016/j.solmat.2020.110539", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:17:16Z", "type": "Journal Article", "created": "2020-04-20", "title": "Selection of optimal wavelengths for optical soiling modelling and detection in photovoltaic modules", "description": "Open AccessAccepted Manuscript (Postprint)", "keywords": ["dust; optical modelling; photovoltaic; reliability; soiling; spectral losses", "0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "FOS: Physical sciences", "Physics - Applied Physics", "Applied Physics (physics.app-ph)", "02 engineering and technology", "7. Clean energy", "Physics - Optics", "Optics (physics.optics)"]}, "links": [{"href": "https://iris.uniroma1.it/bitstream/11573/1625572/2/Micheli_postprint_Selection_2020.pdf.pdf"}, {"href": "https://doi.org/10.1016/j.solmat.2020.110539"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Solar%20Energy%20Materials%20and%20Solar%20Cells", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.solmat.2020.110539", "name": "item", "description": "10.1016/j.solmat.2020.110539", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.solmat.2020.110539"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2022.109034", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:15:41Z", "type": "Journal Article", "created": "2022-06-03", "title": "Real-time automatic detection of starch particles in ambient air", "description": "Considerable amounts of starch granules can be present in the atmosphere from both natural and anthropogenic sources. The aim of this study is to investigate the variability and potential origin of starch granules in ambient air recorded at six cities situated in a region with dominantly agricultural land use. This is achieved by using a combination of laser spectroscopy bioaerosol measurements with 1\u00a0min temporal resolution, traditional volumetric Hirst type bioaerosol sampling and atmospheric modelling. The analysis of wind roses identified potential sources of airborne starch (i.e., cereal grain storage facilities) in the vicinity of all aerobiological stations analysed in this study. The analysis of the CALPUFF dispersion model confirmed that emission of dust from the location of storage towers situated about 2.5 km north of the aerobiological station in Novi Sad is a plausible source of high airborne concentrations of starch granules. This study is important for environmental health since it contributes body of knowledge about sources, emission, and dispersion of airborne starch, known to be involved in phenomena such as thunderstorm-triggered asthma. The presented approach integrates monitoring and modelling, and provides a roadmap for examining a variety of bioaerosols previously considered to be outside the scope of traditional aerobiological measurements.", "keywords": ["2. Zero hunger", "0301 basic medicine", "03 medical and health sciences", "13. Climate action", "Airborne starch", "Aerobiology", "Automatic monitoring", "15. Life on land", "01 natural sciences", "Dispersion modelling", "Article", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.worc.ac.uk/12417/1/1-s2.0-S0168192322002234-main%20%281%29.pdf"}, {"href": "https://doi.org/10.1016/j.agrformet.2022.109034"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2022.109034", "name": "item", "description": "10.1016/j.agrformet.2022.109034", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2022.109034"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-01T00:00:00Z"}}, {"id": "10.1016/j.agsy.2023.103671", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:15:42Z", "type": "Journal Article", "created": "2023-05-04", "title": "Soil organic carbon sequestration potential for croplands in Finland over 2021\u20132040 under the interactive impacts of climate change and agricultural management", "description": "CONTEXT: Cropland soil organic carbon (SOC) stock can be increased by agricultural management, but is subject to various factors. The extent and rates of SOC sequestration potential, as well as the controlling factors, under different climate and management practices across a region or country are important for policy-makers and land managers, however have been rarely known. OBJECTIVE: We aim to investigate the extent and rates of SOC sequestration potential over 2021-2040 under different scenarios of climate change and Sustainable Soil Management (SSM) practices, and quantify the impacts of climate change and SSM practices on the SOC sequestration potential, for croplands across Finland at a spatial resolution of 1 km. METHODS: RothC model is run iteratively to equilibrium to calculate the size of the SOC pools and the annual plant carbon inputs. Then, it is applied to investigate the SOC sequestration potential over 2021-2040 under different scenarios of climate change and SSM practices. Finally, facorial simulation experiments are conducted to quantify the impacts of climate change and SSM practices, alone and in combination, on SOC sequestration potential. RESULTS AND CONCLUSION: Under the combined impacts of climate change and SSM practices, the SOC sequestration potential during 2021-2040 relative to 2020 will be on average -0.03, 0.007, 0.05, and 0.13 t C ha-1 yr-1, respectively, with carbon input being business as usual, 5%, 10%, and 20% increase. This is equivalent to an annual change rate of -0.04%, 0.009%, 0.07%, and 0.17%, respectively. Therefore, a 20% increase in C input to soil will not be enough to obtain a 4\u2030 increase per year over the 20-year period in Finland. Carbon input will promote SOC sequestration potential; however, climate change will reduce it on average by 0.28 t C ha-1yr-1. Across the cropland in Finland, on average, the relative contributions of C input, temperature, and precipitation to SOC sequestration potential in 2021-2040 will be 56%, 24%, and 20%, respectively, however there is a spatially explicit pattern. The SOC sequestration potential will be relatively high and dominated by C input in west and southwest Finland. By contrast, it will be relatively low and dominated by climate in north and east Finland, and the central part of southern Finland. SIGNIFICANCE: Our findings provide the information as to where, how much, and which SSM practices could be applied for enhancing SOC sequestration at a high spatial resolution, which is essential for stakeholders to increase cropland SOC sequestration efficiently.", "keywords": ["2. Zero hunger", "330", "550", "15. Life on land", "ta4111", "7. Clean energy", "Climate-smart agriculture", "GHG emissions", "Climate change mitigation", "13. Climate action", "agricultural production", "Climate change", "Carbon stock", "soil carbon", "soil modelling", "Agricultural carbon management"]}, "links": [{"href": "https://doi.org/10.1016/j.agsy.2023.103671"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agsy.2023.103671", "name": "item", "description": "10.1016/j.agsy.2023.103671", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agsy.2023.103671"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-01T00:00:00Z"}}, {"id": "10.1016/j.cosust.2018.11.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:02Z", "type": "Journal Article", "created": "2018-11-28", "title": "Models for assessing engineered nanomaterial fate and behaviour in the aquatic environment", "description": "Engineered nanomaterials (ENMs, material containing
particles with at least one dimension less than 100 nm) are
present in a range of consumer products and could be
released into the environment from these products during
their production, use or end-of-life. The high surface to
volume ratio of nanomaterials imparts a high reactivity,
which is of interest for novel applications but may raise
concern for the environment. In the absence of
measurement methods, there is a need for modelling to
assess likely concentrations and fate arising from current
and future releases. To assess the capability that exists to
do such modelling, progress in modelling ENM fate since
2011 is reviewed. ENM-specific processes represented in
models are mainly limited to aggregation and, in some
instances, dissolution. Transformation processes (e.g.
sulphidation), the role of the manufactured coatings,
particle size distribution and particle form and state are still
usually excluded. Progress is also being made in modelling
ENMs at larger scales. Currently, models can give a
reasonable assessment of the fate of ENMs in the
environment, but a full understanding will likely require
fuller inclusion of these ENM-specific processes.", "keywords": ["RELEASE", "transformation", "aggregation", "Urbanisation", "METALLIC NANOPARTICLES", "QUANTIFICATION", "SILVER NANOPARTICLES", "01 natural sciences", "6. Clean water", "modelling", "engineered nanomaterials", "NanoFASE", "TIO2 NANOPARTICLES", "Life Science", "WATER", "NANO-SILVER", "EXPOSURE", "RISK-ASSESSMENT", "105906 Environmental geosciences", "ZINC-OXIDE", "aquatic environment", "105906 Umweltgeowissenschaften", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.cosust.2018.11.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Current%20Opinion%20in%20Environmental%20Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.cosust.2018.11.002", "name": "item", "description": "10.1016/j.cosust.2018.11.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.cosust.2018.11.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-01T00:00:00Z"}}, {"id": "10.1016/j.anopes.2021.100003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:15:44Z", "type": "Journal Article", "created": "2022-02-07", "title": "Predicting the dynamics of enteric methane emissions based on intake kinetic patterns in dairy cows fed diets containing either wheat or corn", "description": "Open AccessInternational audience", "keywords": ["2. Zero hunger", "0402 animal and dairy science", "600", "Ruminants", "04 agricultural and veterinary sciences", "Greenhouse gas", "[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation", "630", "Modelling", "13. Climate action", "[SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies", "Precision livestock farming", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation", "[SDV.SA.SPA] Life Sciences [q-bio]/Agricultural sciences/Animal production studies", "Enteric fermentation"]}, "links": [{"href": "https://doi.org/10.1016/j.anopes.2021.100003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Animal%20-%20Open%20Space", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.anopes.2021.100003", "name": "item", "description": "10.1016/j.anopes.2021.100003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.anopes.2021.100003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-12-01T00:00:00Z"}}, {"id": "10.1016/j.apsoil.2020.103596", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:15:50Z", "type": "Journal Article", "created": "2020-06-02", "title": "Soil management intensity shifts microbial catabolic profiles across a range of European long-term field experiments", "description": "Assessing soil microbial functionality has the potential to reveal meaningful effects of soil management on soil processes influencing soil quality. We used MicroResp\u2122 to assess microbial respiration upon the addition of six carbon substrates (glucose, alanine, aminobutyric acid, N-acetyl glucosamine, alpha-ketoglutaric acid, and lignin). From this, we calculated the multiple substrate induced respiration (MSIR), the microbial catabolic profile expressed as absolute and relative utilization rate, and the Shannon microbial functional diversity index (H\u2032). We tested the effect of tillage (reduced vs. conventional) and organic matter addition (high vs. low) on these microbial parameters in soil from 10 European long-term field experiments (LTEs), and investigated their relationships with labile organic carbon fractions and various soil parameters linked to soil functions. Reduced tillage and high organic matter input increased MSIR compared to conventional tillage and low organic matter input. In addition, reduced tillage resulted in a small but significant increase in functional diversity compared to conventional tillage. An increase in soil management intensity (CT-Low > CT-High > RT-Low > RT-High) was associated with lower utilization of all the substrates expressed as absolute utilization rate, and a proportionately higher utilization of alpha-ketoglutaric acid compared to the other substrates. More intensive management systems also showed lower soil quality as measured by various soil parameters, in particular total and labile organic carbon, basal respiration, and microbial biomass nitrogen. The present work shows for the first time the key role of labile organic carbon, as affected by soil management, in determining microbial functional diversity. Aggregating results from 10 European arable LTEs, making use of a comprehensive dataset, MicroResp\u2122 showed that reduced tillage and increased organic matter addition created a more favourable habitat for the microbial community to utilize different carbon substrates and, thereby, the potential for nutrient cycling.", "keywords": ["2. Zero hunger", "04 agricultural and veterinary sciences", "MicroResp\u2122", "Microbial functional diversity", "15. Life on land", "01 natural sciences", "Community level physiological profiling", "6. Clean water", "Tillage", "Structural equation modelling", "13. Climate action", "Organic matter addition", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.apsoil.2020.103596"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Soil%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.apsoil.2020.103596", "name": "item", "description": "10.1016/j.apsoil.2020.103596", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.apsoil.2020.103596"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-01T00:00:00Z"}}, {"id": "10.1016/j.still.2006.03.012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:17:19Z", "type": "Journal Article", "created": "2006-06-16", "title": "Water Balance Simulation Of A Dryland Soil During Fallow Under Conventional And Conservation Tillage In Semiarid Aragon, Northeast Spain", "description": "Open AccessPeer reviewed", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "0106 biological sciences", "Tillage management", "CEMAGREF", "HHLY", "Long-fallowing", "MODELLING", "LONG-FALLOWING", "SISPAT", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Modelling", "6. Clean water", "Soil water conservation", "HHLYHYD", "WATER BALANCE", "TILLAGE MANAGEMENT", "0401 agriculture", " forestry", " and fisheries", "SOIL WATER CONSERVATION", "Water balance", "ESPAGNE"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2006.03.012"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2006.03.012", "name": "item", "description": "10.1016/j.still.2006.03.012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2006.03.012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-01-01T00:00:00Z"}}, {"id": "10.1016/j.compag.2021.106038", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:01Z", "type": "Journal Article", "created": "2021-02-23", "title": "Using NDVI for the assessment of canopy cover in agricultural crops within modelling research", "description": "The fraction of green canopy cover (CC) is an important feature commonly used to characterize crop growth and for calibration of crop and hydrological models. It is well accepted that there is a relation between CC and NDVI through linear or quadratic models, however a straight-forward empirical approach, to derive CC from NDVI observations, is still lacking. In this study, we conducted a meta-analysis of the NDVI-CC relationships with data collected from 19 different studies (N=1397). Generic models are proposed here for 13 different agricultural crops, and the associated degree of uncertainty, together with the magnitude of error were quantified for each model (RMSE around 6-18% of CC).We observed that correlations are adequate for the majority of crops as R2 values were above 75% for most cases, and coefficient estimates were significant for most of the linear and quadratic models. Extrapolation to conditions different than those found in the studies may require local validation, as obtained regressions are affected by non-sampling errors or sources of systematic error that need further investigation. In a case study with wheat, we tested the use of NDVI as a proxy to estimate CC and to calibrate the AquaCrop model. Simulation outcomes were validated with field data collected from three growing seasons and confirmed that the NDVI-CC relationship was useful for modelling research. We highlight that the overall applicability of these relationships to modelling is promising as the RMSE are in line with acceptable levels published in several sensitivity analyses. Funding from the European Commission under project SHui \u2013 Grant agreement ID 773903. Peer reviewed", "keywords": ["0106 biological sciences", "2. Zero hunger", "Meta-analysis", "Canopy cover", "NDVI", "Crop modelling", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.compag.2021.106038"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20and%20Electronics%20in%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.compag.2021.106038", "name": "item", "description": "10.1016/j.compag.2021.106038", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.compag.2021.106038"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-01T00:00:00Z"}}, {"id": "10.1016/j.ecolmodel.2023.110507", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:06Z", "type": "Journal Article", "created": "2023-10-10", "title": "Interactive effects of microbial functional diversity and carbon availability on decomposition \u2013 A theoretical exploration", "description": "

Microbial functional diversity in litter and soil has been hypothesized to affect the rate of decomposition of organic matter and other soil ecosystem functions. However, there are no clear theoretical expectations on how these effects might change with substrate availability, heterogeneity in the substrate chemistry, and different aspects of functional diversity itself (number of microbial groups vs. distribution of functional traits). To explore how these factors shape the decomposition-diversity relation, we carry out numerical experiments using a flexible reaction network comprising microbial processes and interactions with bioavailable carbon (extracellular degradation, uptake, respiration, growth, and mortality), and ecological processes (competition among the different groups). We also considered diverse carbon substrates, in terms of varying nominal oxidation state of carbon (NOSC). The reaction network was used to test the effects of (i) number of microbial groups, (ii) number of carbon pools, (iii) microbial functional diversity, and (iv) amount of bioavailable carbon. We found that the decomposition rate constant increases with increasing substrate concentration and heterogeneity, as well as with increasing microbial functional diversity or variance of microbial traits, albeit these biological factors are less important. The multivariate dependence of the decomposition rate constant (and other decomposition and microbial growth metrics) on substrate and microbial factors can be described using power laws with exponents lower than one, indicating that diversity effects on decomposition and microbial growth are reduced at high substrate concentration and heterogeneity, or at high microbial diversity.

", "keywords": ["Microbial model Organic matter decomposition Organic carbon oxidation state Decomposition kinetics Microbial diversity", "[SDE] Environmental Sciences", "2. Zero hunger", "Organic matter decomposition", "Supplementary Information", "GE", "Ecology", "330", "GF Human ecology. Anthropogeography", "15. Life on land", "ta4112", "GF", "6. Clean water", "12. Responsible consumption", "Ecological Modelling", "Decomposition kinetics", "13. Climate action", "Microbial functional trait", "Microbial diversity-function relation", "Microbial model", "GE Environmental Sciences", "Organic carbon oxidation state"]}, "links": [{"href": "https://doi.org/10.1016/j.ecolmodel.2023.110507"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Modelling", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecolmodel.2023.110507", "name": "item", "description": "10.1016/j.ecolmodel.2023.110507", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecolmodel.2023.110507"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "10.1016/j.ecolmodel.2025.111112", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:06Z", "type": "Journal Article", "created": "2025-04-08", "title": "Combining national forest inventories reveals distinct role of climate on tree recruitment in European forests", "description": "Open AccessISSN:0167-8892", "keywords": ["Forest recruitment modelling", "Ingrowth", "Forest dynamic models", "Forest regeneration", "Forest regeneration; Forest recruitment modelling; Ingrowth; Forest dynamic models"]}, "links": [{"href": "https://doi.org/10.1016/j.ecolmodel.2025.111112"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Modelling", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecolmodel.2025.111112", "name": "item", "description": "10.1016/j.ecolmodel.2025.111112", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecolmodel.2025.111112"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-01T00:00:00Z"}}, {"id": "10.1016/j.egyr.2022.07.052", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:06Z", "type": "Journal Article", "created": "2022-07-26", "title": "Performance analysis and application of a hybrid electromagnetic-triboelectric nanogenerator for energy harvesting", "description": "In recent years, the possibility of harvesting the small-scale energies from the environment has been the subject of many scientific studies. Nanogenerators are emerging to be good candidates for converting the small-scale energies from the environment into electrical energy without need for battery. In this paper, a hybrid nanogenerator that integrates three different working mechanisms for conversion of mechanical energy into electrical energy is presented. The hybrid nanogenerator is composed of a zig-zag contact mode triboelectric nanogenerator (TENG), a sliding mode TENG and two electromagnetic generators (EMGs). Triboelectric surfaces are oppositely charged aluminium and Kapton layers for a zig-zag contact mode TENG and aluminium and PTFE layers for a sliding mode TENG. Aluminium layer is used as an electron donor, and also as an electrode. EMG unit is composed of two home-made copper coils and a neodymium magnet. All individual units are integrated into a two-piece acrylic shell. The whole device is of a compact, low-cost, and lightweight design. It has a size of 37\u00a0mm \u00d7 37\u00a0mm \u00d7 70\u00a0mm, which was optimized by modelling. Performance characterization verified the proposed hybrid nanogenerator as an efficient energy harvester. Output characteristics were tested under different loads (in a range from 10 k\u03a9 to 100 M\u03a9). The maximum output voltage and current of the hybrid nanogenerator were estimated to be about 65 V and 15.25 \u03bcA, respectively. The maximum output power was 1.13\u00a0mW at 200 \u03a9. Charging performance analysis showed that the hybrid nanogenerator significantly enhanced the voltage level and charging speed of the tested capacitors in comparison with individual units. The hybrid nanogenerator charged 1\u03bcF capacitor to 9.1 V within 60\u00a0s. Individual units could simultaneously power at least 144 light-emitting diodes (LEDs). A hybrid signal could power at least 94 LEDs connected in series and at least 50 LEDs connected in parallel. Electrical energy produced by the hybrid nanogenerator was stored in a 47 \u03bcF capacitor bank and used to efficiently power a calculator.", "keywords": ["Triboelectric nanogenerators", "Electromagnetic generators", "Hybrid nanogenerator", "Electrical engineering. Electronics. Nuclear engineering", "02 engineering and technology", "0210 nano-technology", "Mechanical energy harvesting", "01 natural sciences", "Modelling", "TK1-9971", "0104 chemical sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.egyr.2022.07.052"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Energy%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.egyr.2022.07.052", "name": "item", "description": "10.1016/j.egyr.2022.07.052", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.egyr.2022.07.052"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-01T00:00:00Z"}}, {"id": "10.1016/j.ejrh.2021.100882", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:08Z", "type": "Journal Article", "created": "2021-07-30", "title": "Surface water and groundwater interaction at long-term exploited riverbank filtration site based on groundwater flow modelling (Mosina-Krajkowo, Poland)", "description": "Study region: Poland, Warta River catchment. Study focus: The study aimed to explain the reasons for spatial variability in chloride concentrations at the Mosina-Krajkowo riverbank filtration (RBF) site located along the river. This variability is attributed to RBF\u2019s different intensity along the river sections, related, among others, to clogging development. The RBF effectiveness was studied using groundwater flow modelling by: examining the water balance in zones established on hydrogeological setting and chloride concentrations; travel time of the bankfiltrate investigation; RBF parametrisation (i.e. infiltration per unit area and specific infiltration per unit of riverbank). New Hydrological Insights for the Region: The study identifies zones of the most favourable RBF conditions and establishes the variability causes. The overall share bankfiltrate was found at 75.8 %. Its spatial variation ranged widely from 41.1\u201389.3%, confirming the usefulness of the RBF performance sectional analysis in managing this type of site. The highest proportion of surface water (>80 %) occurred along the straight river section, where the riverbed was built by fine and medium sands (preventing penetration of organic suspension into the aquifer). In contrast, the lowest values (<42 %) occurred in the meander zone (with the most favourable RBF conditions at the beginning of site operation), where deep erosion reached coarse-grained sediments in the river bottom, followed by the development of clogging processes and a decrease in the RBF efficiency with time.", "keywords": ["Physical geography", "QE1-996.5", "Riverbed clogging", "Numerical modelling", "0208 environmental biotechnology", "0207 environmental engineering", "Geology", "Modflow", "02 engineering and technology", "Riverbank filtration", "6. Clean water", "Modpath", "GB3-5030"]}, "links": [{"href": "https://doi.org/10.1016/j.ejrh.2021.100882"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology%3A%20Regional%20Studies", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ejrh.2021.100882", "name": "item", "description": "10.1016/j.ejrh.2021.100882", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ejrh.2021.100882"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-10-01T00:00:00Z"}}, {"id": "10.1016/j.electacta.2020.137568", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:10Z", "type": "Journal Article", "created": "2020-11-30", "title": "Modelling the influence of soil properties on performance and bioremediation ability of a pile of soil microbial fuel cells", "description": "Abstract Worldwide, intense industrial and agricultural activities pose serious issues of land contamination. Soil microbial fuel cells (SMFCs) have great potential as a low-cost, and self-powered solution to soil bioremediation, compatible with operations in remote areas. In this study, we propose a novel tubular SMFC design, in which a ceramic tube acts as the separator between the air-cathode and the anode, while providing structural support. No oxygen reduction reaction catalyst is used, and to reach depth, several SMFC units are piled together. To assess the effect of both the system design and soil properties on performance, a mathematical model, calibrated with experimental data, is proposed, which accounts for chemical and (bio)electrochemical reactions, as well as for charge conservation and transport phenomena. The information generated provides useful indications on optimal design and operational conditions for SMFCs and a guide to effective scale-up strategies for their use in bioremediation.", "keywords": ["Soil microbial fuel cell", "/dk/atira/pure/subjectarea/asjc/1500/1500; name=General Chemical Engineering", "13. Climate action", "Soil microbial fuel cell; Bioremediation; Modelling; Hexachlorobenzene", "Hexachlorobenzene", "/dk/atira/pure/subjectarea/asjc/1600/1603; name=Electrochemistry", "01 natural sciences", "7. Clean energy", "Bioremediation", "Modelling", "6. Clean water", "0105 earth and related environmental sciences", "12. Responsible consumption"]}, "links": [{"href": "https://iris.unica.it/bitstream/11584/303841/5/pdf24_merged.pdf"}, {"href": "https://doi.org/10.1016/j.electacta.2020.137568"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Electrochimica%20Acta", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.electacta.2020.137568", "name": "item", "description": "10.1016/j.electacta.2020.137568", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.electacta.2020.137568"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-01T00:00:00Z"}}, {"id": "10.1016/j.envc.2023.100816", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:12Z", "type": "Journal Article", "created": "2023-12-12", "title": "Regional topsoil organic carbon content in the agricultural soils of Slovakia and its drivers, as revealed by the most recent national soil monitoring data", "description": "Soil organic carbon (SOC) is a primary constituent of soil organic matter and plays an important role in the regulation of many soil processes, including greenhouse gas emissions. Recently, SOC also became an indicator for monitoring climate change mitigation policies in the agricultural sector. The availability of up-to-date SOC inventories is thus crucial in terms of supporting SOC\u2013related actions at country or sub-country scales. Currently, the National Monitoring System of the Agricultural Soils of Slovakia (CMS-P), whose network of 318 monitoring sites was last surveyed in 2018, is the only available source of up-to-date topsoil SOC data for agricultural land in Slovakia. Although very useful at the national scale, the number of CMS-P observations it contains is too limited for much needed sub-national SOC inventories. We hypothesized that with the aid of well-chosen macro-scale drivers of topsoil SOC accumulation in agricultural land in Slovakia, and by mapping those drivers geographically, we could upscale the CMS-P observations and produce a regional estimate of topsoil SOC. Altitude, land cover, topsoil texture, and soil type were assumed to be the key factors controlling topsoil SOC accumulation in Slovakia, and based on these, the country was classified into 14 macro-scale geographical regions. Typical ranges and mid-class values of 0\u201330cm topsoil SOC concentrations (%) and stocks (t ha\u22121) were calculated for each macro-scale region from CMS-P data. The average topsoil SOC content in agricultural land was estimated to be 2.13% (72.9 t ha\u22121). The highest topsoil SOC stock (> 90 t ha\u22121) was estimated for the lowlands of Slovakia, and the lowest (< 50 t ha\u22121) for the shallow and stony soils of mountain regions. When aggregated to 78 administrative regions at LAU1 level, the area-weighted averages ranged between 39.20 t ha\u22121 and 80.0 t ha\u22121, with the highest values (> 65 t ha\u22121) being in LAU1 regions in the south-west, south-east, and north of Slovakia where arable land is most prevalent. Total SOC storage in 0\u201330cm topsoil of agricultural land in Slovakia was estimated at 118.39 Mt, with two-thirds of this amount stored in arable soils in 33 south-west, south-east, and south LAU1 administrative regions. As there is no alternative and up-to-date dataset on topsoil SOC content in Slovakia, the upscaling algorithm presented in this study is an important step toward utilizing CMS-P data for sub-national SOC inventories. It may also offer a new way of providing inputs to help predict future or alternative regional topsoil SOC accumulation trajectories in Slovakian agricultural land using process-based or statistical models.", "keywords": ["2. Zero hunger", "Multiple soil classes", "Geographical regionalization", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "630", "Environmental sciences", "13. Climate action", "Upscaling of point measurements", "Soil organic carbon inventory", "11. Sustainability", "Soil indicators", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "Soil organic carbon modelling", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/19278/1/1-s2.0-S2667010023001397-main.pdf"}, {"href": "https://doi.org/10.1016/j.envc.2023.100816"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Challenges", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envc.2023.100816", "name": "item", "description": "10.1016/j.envc.2023.100816", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envc.2023.100816"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1016/j.enpol.2010.03.030", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:11Z", "type": "Journal Article", "created": "2010-04-12", "title": "Global Land-Use Implications Of First And Second Generation Biofuel Targets", "description": "Recently, an active debate has emerged around greenhouse gas emissions due to indirect land use change (iLUC) of expanding agricultural areas dedicated to biofuel production. In this paper we provide a detailed analysis of the iLUC effect, and further address the issues of deforestation, irrigation water use, and crop price increases due to expanding biofuel acreage. We use GLOBIOM \u2013 an economic partial equilibrium model of the global forest, agriculture, and biomass sectors with a bottom-up representation of agricultural and forestry management practices. The results indicate that second generation biofuel production fed by wood from sustainably managed existing forests would lead to a negative iLUC factor, meaning that overall emissions are 27% lower compared to the \u201cNo biofuel\u201d scenario by 2030. The iLUC factor of first generation biofuels global expansion is generally positive, requiring some 25 years to be paid back by the GHG savings from the substitution of biofuels for conventional fuels. Second generation biofuels perform better also with respect to the other investigated criteria; on the condition that they are not sourced from dedicated plantations directly competing for agricultural land. If so, then efficient first generation systems are preferable. Since no clear technology champion for all situations exists, we would recommend targeting policy instruments directly at the positive and negative effects of biofuel production rather than at the production itself.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "CHANGEMENT D'USAGE DES SOLS", "2. Zero hunger", "[SDV.SA] Life Sciences [q-bio]/Agricultural sciences", "330", "0211 other engineering and technologies", "BIOFUELS", "MODELLING", "GAZ A EFFET DE SERRE", "02 engineering and technology", "15. Life on land", "7. Clean energy", "6. Clean water", "12. Responsible consumption", "13. Climate action", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "DEFORESTATION", "LAND USE CHANGE"]}, "links": [{"href": "https://doi.org/10.1016/j.enpol.2010.03.030"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Energy%20Policy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.enpol.2010.03.030", "name": "item", "description": "10.1016/j.enpol.2010.03.030", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.enpol.2010.03.030"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-10-01T00:00:00Z"}}, {"id": "10.1016/j.envint.2024.108568", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:12Z", "type": "Journal Article", "created": "2024-03-09", "title": "Environmental impact of PFAS: Filling data gaps using theoretical quantum chemistry and QSPR modeling", "description": "Scientific publication on the environmental impact of PFAS - filling gaps using theoretical quantum chemistry and QSPR modeling.", "keywords": ["Fluorocarbons", "N-octanol/water partition coefficient", "PFAS", "H2020", "Quantitative Structure-Activity Relationship", "Water", "1-Octanol", "PROMISCES", "01 natural sciences", "Per- and polyfluorinated alkyl substances (PFAS)", "Theoretical chemistry", "theoretical chemistry", "Environmental sciences", "Soil", "QSPR modelling", "13. Climate action", "QSPR", "GE1-350", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envint.2024.108568"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environment%20International", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envint.2024.108568", "name": "item", "description": "10.1016/j.envint.2024.108568", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envint.2024.108568"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2024.125193", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:15Z", "type": "Journal Article", "created": "2024-10-24", "title": "Effect of particle size on the transport of polystyrene micro- and nanoplastic particles through quartz sand under unsaturated conditions", "description": "Micro- and nanoplastics (MNPs) are contaminants of emerging concern recently found in soil ecosystems. Their presence in terrestrial environments and their migration to aquatic environments may become a risk for the health of ecosystems and, through them, of humans. Understanding the interaction between particle properties and physicochemical and hydrodynamic factors is crucial to evaluate their fate and their potential infiltration towards groundwater. This study investigates the impact of particle size on MNPs transport through sand under unsaturated conditions. Infiltration column experiments with polystyrene MNPs ranging from 120 to 10,000\u00a0nm were conducted and supported by numerical modelling to derive reactive transport parameters. Results show a significant effect of particle size on the transport of MNPs, with higher recovery values observed for smaller particles (120\u00a0nm; 95.11%) compared to larger particles (1000\u00a0nm; 71.44%). No breakthrough was observed for 10,000\u00a0nm particles, indicating a complete retention within the quartz sand matrix. DLVO theory confirmed the dominance of electrostatic repulsive forces between MNPs and sand grains, suggesting an unfavourable environment for MNPs to adhere to quartz sand. Consequently, particle retention in the sand matrix occurs predominantly by physical processes. Equilibrium sorption modelling reveals that larger particles (1000\u00a0nm) tend to be immobilized in small pores throats due to straining, resulting in lower recoveries. When they are not trapped, particles tend to travel faster through preferential flows due to a size exclusion effect, evidenced by shorter arrival times at the column outlet compared to tracers. These findings highlight the influence of particle size on the transport and retention of MNPs in quartz sand under unsaturated conditions and contribute to a better understanding of their transport dynamics and environmental fate.", "keywords": ["Microplastics", "Q Science (General)", "Quartz", "particle size", "QS Ecology", "nanoplastics", "modelling", "Sand", "Polystyrenes", "Nanoparticles", "Soil Pollutants", "Particle Size", "Plastics", "Groundwater"], "contacts": [{"organization": "Rieckhof, Cynthia, Mart\u00ednez-Hern\u00e1ndez, Virtudes, Holzbecher, Ekkehard, Meffe, Raffaella,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2024.125193"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2024.125193", "name": "item", "description": "10.1016/j.envpol.2024.125193", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2024.125193"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1016/j.geodrs.2024.e00801", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:36Z", "type": "Journal Article", "created": "2024-04-20", "title": "National-scale digital soil mapping performances are related to covariates and sampling density: Lessons from France", "description": "Accurate soil property and class predictions through spatial modelling necessitate a thoughtful selection of explanatory variables and sample size, as their choice greatly impacts model performance. Within the framework of Global Soil Nutrient and Nutrient Budgets maps (GSNmap), the FAO Global Soil Partnership (GSP) launched a country-driven digital soil mapping (DSM) approach. The GSP asked the countries if they could implement the DSM prediction of ten soil properties, using their national point data and a set of widely available covariates (GSP_Cov). In this study, we examined the effect of including additional national-based covariates and soil observations on the performance of the prediction models using mainland France as a pilot. The learning soil dataset was based on a systematic 16-to-16\u202fkm grid. For a subset of soil properties, we also assessed using repeated k-fold cross-validation the effect of adding to this dataset many other irregularly spread measurements. The GSP_Cov included common widely available covariates that represented information about terrain, climate, and organisms. The second set of covariates consisted of the GSP_Cov, extended to extra covariates available at a national level, such as previously existing soil maps, geological maps, remote sensing products and others. Random Forest approach in combination with the Boruta selection method was employed for mapping ten soil properties: soil organic carbon (SOC), pH (water), total nitrogen (N), available phosphorus (P), available potassium (K), cation exchange capacity (CEC), bulk density (BD), and texture (clay, silt, and sand). The results revealed noteworthy enhancements in prediction performance for more than half of the properties, although, for some of them, the improvements were negligible. The most significant improvements were obtained for pH, CEC and texture, where geological variables and a previous pH map significantly contributed to the increase in accuracy. Adding numerous points (around 25,000) to the learning dataset improved the performance of soil particle-size fractions predictions. By broadening the spectrum of covariates and better covering the feature and geographical spaces considered in soil prediction models, this research underscores the importance of implementing a more diverse range of covariates at a national scale and of densifying soil information to enlarge the feature and geographical spaces of multidimensional soil/covariates combinations. This information should be taken into account in national and continental digital soil mapping endeavours.", "keywords": ["2. Zero hunger", "Soil", "Digital soil mapping", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "Spatial sampling", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Covariates", "Modelling", "Random forest"], "contacts": [{"organization": "Suleymanov, Azamat, Richer-De-Forges, Anne C, Saby, Nicolas P. A., Arrouays, Dominique, Martin, Manuel P, Bispo, Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.geodrs.2024.e00801"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma%20Regional", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geodrs.2024.e00801", "name": "item", "description": "10.1016/j.geodrs.2024.e00801", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geodrs.2024.e00801"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2018.09.028", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:27Z", "type": "Journal Article", "created": "2018-09-28", "title": "Modelling Above Ground Biomass Accumulation Of Mangrove Plantations In Vietnam", "description": "Abstract In many tropical nations, mangrove forests are essential ecosystems for climate change mitigation and adaptation in coastal regions as they provide important forest resources as well as a suite of other benefits to communities including carbon sequestration. Empirical growth and yield modelling methods derived from terrestrial forestry, which are often robust with respect to forestry forecasting and management, have not often been assessed in mangrove forests yet they are important for underpinning sustainable forest management. We surveyed 89 Rhizophora apiculata mangrove plantations with age ranges from 4 to 26\u202fyear old in Vietnam, destructively harvesting 25 trees for biomass measurements and 70 for stem analyses, to assess increments in biomass and standing timber. Systems of equations were developed to model site index, mean diameter, dominant height, stocking, biomass and timber volume. We found that conventional forest growth modelling methods fitted the observed data well. Similar to terrestrial forests, stand height is a good indicator of site productivity. Mean errors for stand volume and biomass estimated from yield tables were both less than 5.3%. The root mean square error (RMSE) of the biomass model was 12 and RMSE of the volume model was 10.8, suggesting that these methods are applicable to evenly aged monoculture mangrove plantations in Vietnam. Our research also indicated high variation in mean annual increment of biomass (MAI) in the surveyed plantations due to a wide range of age and site conditions. Some R. apiculata plantations in Vietnam can reach a peak aboveground biomass MAI of 22.7\u202fMg\u202fha\u22121 year\u22121, which is among the highest of published values from plantations of the same species worldwide. Further studies addressing the application of terrestrial forest growth methods to mangrove systems are suggested in order to develop reliable and useful tools for sustainable management of this important ecosystem.", "keywords": ["0106 biological sciences", "Monitoring", "Policy and Law", "Rhizophora apiculata plantation", "1107 Forestry", "Growth and yield modelling", "15. Life on land", "01 natural sciences", "333", "2309 Nature and Landscape Conservation", "12. Responsible consumption", "13. Climate action", "2308 Management", "Biomass", "Mangrove", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2018.09.028"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2018.09.028", "name": "item", "description": "10.1016/j.foreco.2018.09.028", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2018.09.028"}, {"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"}}, {"id": "10.1016/j.geoderma.2011.05.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:31Z", "type": "Journal Article", "created": "2011-06-18", "title": "Effects Of Afforestation And Deforestation On Boreal Soil Carbon Stocks\u2014Comparison Of Measured C Stocks With Yasso07 Model Results", "description": "Abstract Land use changes like afforestation and deforestation are known to affect stocks of carbon in soils. We measured changes in soil carbon stocks in afforested and deforested sites. Repeated measurements were made at six sites which had been afforested with three different tree species 17\u201318\u00a0years before this sampling. The deforestation sites consisted of six field soils that were taken to cultivation 1\u2013200\u00a0years before the sampling and adjacent forest sites representing the same soil types as the fields. The performance of the Yasso07 model in predicting the soil carbon stock changes in afforestation and deforestation was evaluated by simulating the changes in the carbon stocks and comparing the measured and simulated results for these sites. The mean observed 20-year carbon stock change after the land use change was \u2212\u00a09% in the afforested sites and \u2212\u00a019% in the deforested sites. The decrease in the mean carbon stock after afforestation was most pronounced during the first 9\u201310\u00a0years and was probably due to low rates of litter production in the early growth phase of the forests. The stock change in deforestation was lowest in fields with grasses as the main crop and highest in cereal monoculture. The simulation results were well in accordance with the measured carbon stocks on most sites.", "keywords": ["330", "hiilivarasto", "hiilitase", "04 agricultural and veterinary sciences", "15. Life on land", "Modelling", "maank\u00e4yt\u00f6n muutos", "pellonraivaus", "afforestation", "Land use", "deforestation", "0401 agriculture", " forestry", " and fisheries", "Carbon stock", "mallinnus", "metsitys", "soil analysis", "mets\u00e4maa", "pellonmetsitys"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2011.05.008"}, {"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.2011.05.008", "name": "item", "description": "10.1016/j.geoderma.2011.05.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2011.05.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-08-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2017.01.025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:34Z", "type": "Journal Article", "created": "2017-02-09", "title": "Soil C Quantities Of Mangrove Forests, Their Competing Land Uses, And Their Spatial Distribution In The Coast Of Honda Bay, Philippines", "description": "Mangrove forests provide many ecosystem goods and services and they contain large amount of carbon (C) especially in their soil. Yet, their global area is still declining owing to conversion to non-forest land uses. While studies have been conducted on mangrove soil C stocks, our knowledge on how C stocks of mangrove forests compare with those of non-forest land uses that replaced them is still limited. This knowledge is crucial in land use planning and decision-making in the coastal zone. Site-scale mapping and assessments of mangrove soil C stocks and the land uses that replaced them are also limited. The aim of this study was to quantify and compare the soil C stocks in mangrove forests and their competing non-forest land uses (represented by aquaculture pond, coconut plantation, salt pond and cleared mangrove), estimate soil C loss arising from conversion, and model the soil C stock distribution in the entire study site. On the average, the soil C stock of mangrove forests was 851.9 \u00b1 87 MgC ha\u2212 1 while that of their non-forest competing land uses was less than half at 365.1 \u00b1 31 MgC ha\u2212 1. Closed canopy mangrove was highest at 1040 \u00b1 104 MgC ha\u2212 1, followed by open canopy mangrove (640 \u00b1 131 MgC ha\u2212 1) while aquaculture, salt pond and cleared mangrove had comparable C stocks (454 \u00b1 32, 401 \u00b1 9, 413 \u00b1 25 MgC ha\u2212 1, respectively) and coconut plantation had the least (42 \u00b1 0.7 MgC ha\u2212 1). Overall, the reduction in soil C stock (soil C loss) due to land use conversion in mangrove ranged from 398 to 809 MgC ha\u2212 1 (mean: 486.8 MgC ha\u2212 1) or a decline of 57% in soil C stock, on the average. It was possible to model the site-scale spatial distribution of soil C stocks and predict their values with 85% overall certainty using the Ordinary Kriging approach. Results from this study could help inform current discussions on Blue Carbon and REDD + as well as policy and program development that advance research on soil C conservation and ecosystem services in coastal forested wetlands.", "keywords": ["580", "c stock", "mangrove", "spatial modelling", "570", "aquaculture", "blue carbon", "Philippines", "14. Life underwater", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2017.01.025"}, {"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.2017.01.025", "name": "item", "description": "10.1016/j.geoderma.2017.01.025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2017.01.025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-05-01T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2023.07.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:38Z", "type": "Journal Article", "created": "2023-08-03", "title": "Towards a better understanding of pathways of multiple co-occurring erosion processes on global cropland", "description": "Soil erosion is a complex process involving multiple natural and anthropic agents, causing the deterioration of multiple components comprising soil health. Here, we provide an estimate of the spatial patterns of cropland susceptibility to erosion by sheet and rill, gully, wind, tillage, and root crops harvesting and report the co-occurrence of these processes using a multi-model approach. In addition, to give a global overview of potential future changes, we identify the locations where these multiple concurrent soil erosion processes may be expected to intersect with projected dry/wet climate changes by 2070. Of a modelled 1.48 billion hectares (B ha) of global cropland, our results indicate that 0.56\u00a0B\u00a0ha (\u223c36% of the total area) are highly susceptible (classes 4 and 5) to a single erosion process, 0.27\u00a0B\u00a0ha (\u223c18% of the total area) to two processes and 0.02\u00a0B\u00a0ha (1.4% of the total area) to three or more processes. An estimated 0.82\u00a0B\u00a0ha of croplands are susceptible to possible increases in water (0.68\u00a0B\u00a0ha) and wind (0.14\u00a0B\u00a0ha) erosion. We contend that the presented set of estimates represents a basis for enhancing our foundational knowledge on the geography of soil erosion at the global scale. The generated insight on multiple erosion processes can be a useful starting point for decision-makers working with ex-post and ex-ante policy evaluation of the UN Sustainable Development Goal 15 (Life on Land) activities. Scientifically, this work provides the hitherto most comprehensive assessment of soil erosion risks at the global scale, based on state-of-the-art models.", "keywords": ["550", "[SDV]Life Sciences [q-bio]", "multi-model approach", "pobiranje pridelka", "water", "Wind", "Modelling", "Gully", "Tillage", "modelling", "modeliranje", "11. Sustainability", "jarkovna erozija", "wind", "info:eu-repo/classification/udc/631.4", "2. Zero hunger", "Multi-model approach", "Modelling; Multi-model approach; Water; Wind; Gully; Tillage; Crop harvesting", "500", "Water", "15. Life on land", "multi-modelski pristop", "Crop harvesting", "Engineering (General). Civil engineering (General)", "[SDV] Life Sciences [q-bio]", "gully", "13. Climate action", "veter", "voda", "tillage", "crop harvesting", "TA1-2040", "erozija zaradi obdelave tal"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2023.07.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2023.07.008", "name": "item", "description": "10.1016/j.iswcr.2023.07.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2023.07.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2019.04.120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:43Z", "type": "Journal Article", "created": "2019-06-13", "title": "A spatial approach to identify priority areas for pesticide pollution mitigation", "description": "Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.", "keywords": ["Technology and Engineering", "GIS modelling", "FATE", "0207 environmental engineering", "GLYPHOSATE", "02 engineering and technology", "Diffuse pesticide pollution", "01 natural sciences", "12. Responsible consumption", "CATCHMENT", "Belgium", "RUNOFF", "SURFACE WATERS", "Pesticides", "Biology", "0105 earth and related environmental sciences", "RISK", "Catchment scale", "Water Pollution", "Surface water", "Agriculture", "HERBICIDE LOSSES", "15. Life on land", "Field observations", "BUFFER ZONES", "TRANSPORT", "6. Clean water", "NO-TILL", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "Pesticide risk areas", "Water Pollutants", " Chemical"]}, "links": [{"href": "https://doi.org/10.1016/j.jenvman.2019.04.120"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2019.04.120", "name": "item", "description": "10.1016/j.jenvman.2019.04.120", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2019.04.120"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-01T00:00:00Z"}}, {"id": "10.1016/j.jhydrol.2021.126014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:46Z", "type": "Journal Article", "created": "2021-01-28", "title": "Future changes in the Dominant Source Layer of riparian lateral water fluxes in a subhumid Mediterranean catchment", "description": "The \u2018Dominant Source Layer\u2019 (DSL) is defined as the riparian zone (RZ) depth stratum that contributes the most to water and solute fluxes to streams. The concept can be used to explain timing and amount of matter transferred from RZs to streams in forest headwaters. Here, we investigated the potential impact of future climate changes on the long-term position of the DSL in a subhumid Mediterranean headwater catchment. We used the rainfall-runoff model PERSiST to simulate reference (1981\u20132000) and future (2081\u20132100) stream runoff. The latter were simulated using synthetic temperature, precipitation, and inter-event length scenarios in order to simulate possible effects of changes in temperature, rainfall amount, and rainfall event frequency and intensity. Simulated stream runoff was then used to estimate RZ groundwater tables and the proportion of lateral water flux at every depth in the riparian profile; and hence the DSL. Our simulations indicated that future changes in temperature and precipitation will have a similar impact on the long-term DSL position. Nearly all scenarios projected that, together with reductions in stream runoff and water exports, the DSL will move down in the future, by as much as ca. 30 cm. Shallow organic-rich layers in the RZ will only be hydrologically activated during sporadic, large rainfall episodes predicted for the most extreme inter-event length scenarios. Consequently, terrestrial organic matter inputs to streams will decrease, likely reducing catchment organic matter exports and stream dissolved organic carbon concentrations. This study highlights the importance of identifying vertical, hydrologically active layers in the RZ for a better understanding of the potential impact of future climate on lateral water transfer and their relationship with surface water quality and carbon cycling.", "keywords": ["Terrestrial\u2013aquatic interface", "550", "Geography & travel", "Physics", "Catchment biogeochemistry", "0207 environmental engineering", "Oceanography", " Hydrology", " Water Resources", "02 engineering and technology", "910", "15. Life on land", "Oceanography", "ddc:910", "Hydrological connectivity", "Environmental change", "01 natural sciences", "6. Clean water", "13. Climate action", "Environmental changes", "Water Resources", "Hydrological modelling", "info:eu-repo/classification/ddc/910", "Hydrology", "Mediterranean climate", "Biology", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pub.epsilon.slu.se/24383/1/ledesma_j_l_j_et_al_210603.pdf"}, {"href": "https://doi.org/10.1016/j.jhydrol.2021.126014"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jhydrol.2021.126014", "name": "item", "description": "10.1016/j.jhydrol.2021.126014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhydrol.2021.126014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-01T00:00:00Z"}}, {"id": "10.1016/j.proci.2018.05.125", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:51Z", "type": "Journal Article", "created": "2018-06-21", "title": "Upward-and-downward spread of smoldering peat fire", "description": "Abstract Smoldering is the dominant combustion process in peat fire, releasing a large amount of carbon and smoke into the atmosphere. The spread of smoldering in peatland is a multi-dimensional process, which is slow, low-temperature, persistent, and difficult to detect. In this work, we investigate the upward spread of peat fire from the underground to the surface after forced ignition which is a relevant configuration but rarely studied. In the experiment, ignition is not possible if the igniter is deeper than 15\u202fcm below the free surface, regardless of moisture content or density. Once ignited, the 1st-stage upward fire spread is initiated towards the free surface (opposed smoldering) with a peak temperature of 300\u202f\u00b0C, leaving behind a char structure that does not collapse. Then, a 2nd-stage downward spread (forward smoldering) is activated with a peak temperature of 600\u202f\u00b0C and regression of free surface. The upward spread is faster than the downward spread. The rates of both upward and downward spread decrease as the peat density or depth is increased. These experimental observations are successfully captured by a 1D computational model of heat and mass transfer with 5-step kinetics. Modelling results further suggest that (1) the oxygen diffusion controls the entire upward-to-downward spread of peat fire, (2) the oxidation of peat sustains the 1st-stage upward spread, and (3) the oxidation of char sustains the 2nd-stage downward spread. This is the first study investigating the upward spread of peat fire, which helps understand the persistence of peat fire and guide the fire prevention and suppression strategies.", "keywords": ["570", "Technology", "Engineering", " Chemical", "Energy & Fuels", "0904 Chemical Engineering", "Density", "Chemical", "02 engineering and technology", "MOISTURE", "0902 Automotive Engineering", "530", "Modelling", "OXYGEN", "0201 civil engineering", "COMBUSTION", "Engineering", "0204 chemical engineering", "Science & Technology", "Critical depth", "ROLES", "Opposed and forward smoldering", "BURN", "Mechanical", "Engineering", " Mechanical", "SOIL", "DENSITY", "Physical Sciences", "DEPTH", "Thermodynamics", "Wildland fire", "0913 Mechanical Engineering"]}, "links": [{"href": "https://doi.org/10.1016/j.proci.2018.05.125"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Combustion%20Institute", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.proci.2018.05.125", "name": "item", "description": "10.1016/j.proci.2018.05.125", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.proci.2018.05.125"}, {"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"}}, {"id": "10.1016/j.proci.2020.08.052", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:51Z", "type": "Journal Article", "created": "2020-10-30", "title": "Using cellular automata to simulate field-scale flaming and smouldering wildfires in tropical peatlands", "description": "Abstract Peat wildfires are the largest fires on Earth involving both flaming and smouldering combustion, with one leading to the other. A common ignition source of smouldering fires in tropical peatlands are intentional flaming fires used to clear surface vegetation. To capture the behaviour of these fires, it is necessary to consider the interaction between flaming vegetation and smouldering peat. However, doing so is infeasible with the state-of-the-art wildfire models, as they do not consider the transition from flaming to smouldering and are computationally too expensive at the field-scale hundreds of hectares. In this work, we overcome these limitations and model both flaming and smouldering at the field-scale using cellular automata: that is a discrete mathematical model that uses simple rules to capture complex behaviour while remaining computationally light. The model was calibrated against existing experiments in the literature and used to predict the effect of peat moisture content on the behaviour of peatland wildfires. The model shows how flaming creates smouldering hotspots and how these hotspots merge \u2013 flaming spreads rapidly, consuming surface vegetation, leaving behind hotspots of smouldering peat which consumes most of the peat. The model was then applied to study a real prescribed fire of 573\u202fha peatland in Borneo in 2015, observed by drone footage. The model captured the spread patterns of the fire and predicted that 2.9\u202fha of peatland burnt after 3 months with 70% peat moisture content (dry-based). This ioutcome could have been reduced to 0.02\u202fha if the peat moisture content had been above 100%. This work improves the fundamental understanding of how peat wildfires spread at the field scale which has received little attention until now.", "keywords": ["Cellular automata", "Technology", "Engineering", " Chemical", "Energy & Fuels", "0904 Chemical Engineering", "Chemical", "0902 Automotive Engineering", "Prescribed fire", "FIRE", "01 natural sciences", "630", "Modelling", "Engineering", "Smouldering", "0105 earth and related environmental sciences", "Science & Technology", "04 agricultural and veterinary sciences", "624", "Peat fire", "15. Life on land", "Mechanical", "Engineering", " Mechanical", "MODEL", "13. Climate action", "Physical Sciences", "Thermodynamics", "0401 agriculture", " forestry", " and fisheries", "SPREAD", "0913 Mechanical Engineering"]}, "links": [{"href": "https://doi.org/10.1016/j.proci.2020.08.052"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20Combustion%20Institute", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.proci.2020.08.052", "name": "item", "description": "10.1016/j.proci.2020.08.052", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.proci.2020.08.052"}, {"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": "10.1016/j.rse.2018.04.013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:53Z", "type": "Journal Article", "created": "2018-04-24", "title": "Retrieving surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and Landsat thermal data: A study case over bare soil", "description": "Radar data have been used to retrieve and monitor the surface soil moisture (SM) changes in various conditions. However, the calibration of radar models whether empirically or physically-based, is still subject to large uncertainties especially at high-spatial resolution. To help calibrate radar-based retrieval approaches to supervising SM at high resolution, this paper presents an innovative synergistic method combining Sentinel-1 (S1) microwave and Landsat-7/8 (L7/8) thermal data. First, the S1 backscatter coefficient was normalized by its maximum and minimum values obtained during 2015\u20132016 agriculture season. Second, the normalized S1 backscatter coefficient was calibrated from reference points provided by a thermal-derived SM proxy named soil evaporative efficiency (SEE, defined as the ratio of actual to potential soil evaporation). SEE was estimated as the radiometric soil temperature normalized by its minimum and maximum values reached in a water-saturated and dry soil, respectively. We estimated both soil temperature endmembers by using a soil energy balance model forced by available meteorological forcing. The proposed approach was evaluated against in situ SM measurements collected over three bare soil fields in a semi-arid region in Morocco and we compared it against a classical approach based on radar data only. The two polarizations VV (vertical transmit and receive) and VH (vertical transmit and horizontal receive) of the S1 data available over the area are tested to analyse the sensitivity of radar signal to SM at high incidence angles (39\u00b0\u201343\u00b0). We found that the VV polarization was better correlated to SM than the VH polarization with a determination coefficient of 0.47 and 0.28, respectively. By combining S1 (VV) and L7/8 data, we reduced the root mean square difference between satellite and in situ SM to 0.03\u202fm3\u202fm\u22123, which is far smaller than 0.16\u202fm3\u202fm\u22123 when using S1 (VV) only.", "keywords": ["550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "Sentinel-1 (A/B)", "near surface soil moisture", "Bare soil", "0211 other engineering and technologies", "Sentinel-1 (AB)", "02 engineering and technology", "15. Life on land", "Landsat-78", "01 natural sciences", "Energy balance modelling", "Near surface soil moisture", "Landsat-7/8", "bare soil", "13. Climate action", "energy balance modelling", "soil evaporation", "[SDE.IE] Environmental Sciences/Environmental Engineering", "Soil evaporation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://hal.archives-ouvertes.fr/hal-01912888/file/Amazirh%20et%20al_2018%20%281%29.pdf"}, {"href": "https://doi.org/10.1016/j.rse.2018.04.013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing%20of%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rse.2018.04.013", "name": "item", "description": "10.1016/j.rse.2018.04.013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rse.2018.04.013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2018.06.267", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:57Z", "type": "Journal Article", "created": "2018-06-28", "title": "A comparison of disaggregated nitrogen budgets for Danish agriculture using Europe-wide and national approaches", "description": "Spatially detailed information on agricultural nitrogen (N) budgets is relevant to identify regions where there is a need for a reduction in inputs in view of various forms of N pollution. However, at the scale of the European Union, there is a lack of consistent, reliable, high spatial resolution data necessary for the calculation of regional N losses. To gain insight in the reduction in uncertainty achieved by using higher spatial resolution input data. This was done by comparing spatially disaggregated agricultural N budgets for Denmark for the period 2000-2010, generated by two versions of the European scale model Integrator, a version using high spatial resolution national data for Denmark (Integrator-DK) and a version using available data at the EU scale (Integrator-EU). Results showed that the national N fluxes in the N budgets calculated by the two versions of the model were within 1-5% for N inputs by fertilizer and manure excretion, but inputs by N fixation and N mineralisation differed by 50-100% and N uptake also differed by ca 25%, causing a difference in N leaching and runoff of nearly 50%. Comparison with an independently derived Danish national budget appeared generally to be better with Integrator-EU results in 2000 but with Integrator-DK results in 2010. However, the spatial distribution of manure distribution and N losses from Integrator-DK were closer to observed distributions than those from Integrator-EU. We conclude that close attention to local agronomic practices is needed when using a leaching fraction approach and that for effective support of environmental policymaking, Member States need to collect or submit high spatial resolution agricultural data to Eurostat.", "keywords": ["Budgets", "2. Zero hunger", "Disaggregation", "Nitrogen", "13. Climate action", "Agricultural soils", "15. Life on land", "National", "01 natural sciences", "Modelling", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2018.06.267"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2018.06.267", "name": "item", "description": "10.1016/j.scitotenv.2018.06.267", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2018.06.267"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2021.152880", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:59Z", "type": "Journal Article", "created": "2022-01-06", "title": "Exploring the potential role of environmental and multi-source satellite data in crop yield prediction across Northeast China", "description": "Open AccessLe d\u00e9veloppement d'un syst\u00e8me pr\u00e9cis de pr\u00e9diction du rendement des cultures \u00e0 grande \u00e9chelle est d'une importance primordiale pour la gestion des ressources agricoles et la s\u00e9curit\u00e9 alimentaire mondiale. L'observation de la Terre fournit une source unique d'informations pour surveiller les cultures \u00e0 partir d'une diversit\u00e9 de gammes spectrales. Cependant, l'utilisation int\u00e9gr\u00e9e de ces donn\u00e9es et de leurs valeurs dans la pr\u00e9diction du rendement des cultures est encore peu \u00e9tudi\u00e9e. Ici, nous avons propos\u00e9 la combinaison de donn\u00e9es environnementales (climat, sol, g\u00e9ographie et topographie) avec de multiples donn\u00e9es satellitaires (indices de v\u00e9g\u00e9tation optiques, fluorescence induite par le soleil (SIF), temp\u00e9rature de surface du sol (LST) et profondeur optique de la v\u00e9g\u00e9tation micro-ondes (VOD)) dans le cadre pour estimer le rendement des cultures de ma\u00efs, de riz et de soja dans le nord-est de la Chine, et leur valeur unique et leur influence relative sur la pr\u00e9diction du rendement ont \u00e9t\u00e9 \u00e9valu\u00e9es. Deux m\u00e9thodes de r\u00e9gression lin\u00e9aire, trois m\u00e9thodes d'apprentissage automatique (ML) et un mod\u00e8le d'ensemble ML ont \u00e9t\u00e9 adopt\u00e9s pour construire des mod\u00e8les de pr\u00e9diction de rendement. Les r\u00e9sultats ont montr\u00e9 que les m\u00e9thodes individuelles de ML surpassaient les m\u00e9thodes de r\u00e9gression lin\u00e9aire, le mod\u00e8le d'ensemble de ML a encore am\u00e9lior\u00e9 les mod\u00e8les de ML uniques. De plus, les mod\u00e8les avec plus d'intrants ont obtenu de meilleures performances, la combinaison de donn\u00e9es satellitaires avec des donn\u00e9es environnementales, qui expliquaient respectivement 72\u00a0%, 69\u00a0% et 57\u00a0% de la variabilit\u00e9 du rendement du ma\u00efs, du riz et du soja, a d\u00e9montr\u00e9 des performances de pr\u00e9diction du rendement sup\u00e9rieures \u00e0 celles des intrants individuels. Alors que les donn\u00e9es satellitaires ont contribu\u00e9 \u00e0 la pr\u00e9diction du rendement des cultures principalement au d\u00e9but de la pointe de la saison de croissance, les donn\u00e9es climatiques ont fourni des informations suppl\u00e9mentaires principalement \u00e0 la pointe de la fin de la saison. Nous avons \u00e9galement constat\u00e9 que l'utilisation combin\u00e9e de l'IVE, du LST et du SIF a am\u00e9lior\u00e9 la pr\u00e9cision du mod\u00e8le par rapport au mod\u00e8le d'IVE de r\u00e9f\u00e9rence. Cependant, les indices de v\u00e9g\u00e9tation bas\u00e9s sur l'optique partageaient des informations similaires et ne fournissaient pas beaucoup d'informations suppl\u00e9mentaires au-del\u00e0 de l'IVE. Les pr\u00e9visions de rendement en cours de saison ont montr\u00e9 que les rendements des cultures peuvent \u00eatre pr\u00e9vus de mani\u00e8re satisfaisante deux \u00e0 trois mois avant la r\u00e9colte. La g\u00e9ographie, la topographie, la VOD, l'IVE, les param\u00e8tres hydrauliques du sol et les param\u00e8tres nutritifs sont plus importants pour la pr\u00e9diction du rendement des cultures.", "keywords": ["Atmospheric sciences", "Climate", "Multi-source satellite data", "Normalized Difference Vegetation Index", "Engineering", "Pathology", "Climate change", "Urban Heat Islands and Mitigation Strategies", "Linear regression", "2. Zero hunger", "Global and Planetary Change", "Vegetation Monitoring", "Ecology", "Geography", "Statistics", "Agriculture", "Geology", "Remote Sensing in Vegetation Monitoring and Phenology", "04 agricultural and veterinary sciences", "Remote sensing", "Aerospace engineering", "Archaeology", "Physical Sciences", "Metallurgy", "Medicine", "Seasons", "Global Vegetation Models", "Biomass Estimation", "Regression analysis", "Vegetation (pathology)", "Crops", " Agricultural", "Environmental Engineering", "Environmental data", "Yield (engineering)", "Zea mays", "Environmental science", "Machine learning", "FOS: Mathematics", "Crop yield", "Biology", "Global Forest Drought Response and Climate Change", "FOS: Environmental engineering", "Predictive modelling", "Food security", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "Materials science", "Yield prediction", "Satellite", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Growing season", "0401 agriculture", " forestry", " and fisheries", "Mathematics"], "contacts": [{"organization": "Zhenwang Li, Lei Ding, Donghui Xu,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2021.152880"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2021.152880", "name": "item", "description": "10.1016/j.scitotenv.2021.152880", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2021.152880"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2022.156582", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:16:59Z", "type": "Journal Article", "created": "2022-06-14", "title": "Potential of visible and near infrared spectroscopy coupled with machine learning for predicting soil metal concentrations at the regional scale", "description": "Chemical analytical methods for metal analysis in soils are laborious, time-consuming and costly. This paper aims to evaluate the potential of short-range (SR) and full-range (FR) visible and infrared spectroscopy (vis-NIR) combined with linear and nonlinear calibration methods to estimate concentrations of nickel (Ni), cobalt (Co), cadmium (Cd), lead (Pb) and copper (Cu) in soils. A total of 435 soil samples were collected over agricultural sites, forest (7 %), pasture (5 %) and fallow land across a region in the northern part of Belgium. Generally, better predictions were obtained when using partial least squares regression (PLSR) and nonlinear calibration method [i.e., random forest (RF)] for processing of the spectral data, than when using support vector machine (SVM). FR generally outperformed SR and provided the best prediction results for Ni (R2p = 0.76), Co (R2p = 0.77), Cd (R2p = 0.64) and Pb (R2p = 0.65), when using PLSR and RF. SVM produced the best prediction result only for Pb (R2p = 0.57) using the SR spectra. The metals Ni, Co, Cd and Pb can be predicted successfully (good accuracy) from the FR vis-NIR spectra using PLSR for Co, and RF for Ni, Cd, Pb and Cu. Compared to the FR spectrophotometer, improvement in accuracy was obtained for Cd and Co, using the SR spectra when combined with PLSR and RF, respectively. It is concluded that the SR spectrometer can be used successfully for the prediction of Co with RF (R2p = 0.70), while it best predicted Cd with PLSR with an R2p value of 0.67, which is of value for regional survey.", "keywords": ["Spectroscopy", " Near-Infrared", "Support Vector Machine", "RANGE", "Machine", "Machine learning modelling", "learning modelling", "REFLECTANCE SPECTROSCOPY", "CONTAMINATION", "Soil", "Lead", "Soil contamination", "Nickel", "Metals", "Earth and Environmental Sciences", "Soil Pollutants", "Chemometrics", "Cadmium", "Near-infrared spectra"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2022.156582"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2022.156582", "name": "item", "description": "10.1016/j.scitotenv.2022.156582", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2022.156582"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2023.169662", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:17:00Z", "type": "Journal Article", "created": "2023-12-28", "title": "Plant-mediated CH4 exchange in wetlands: A review of mechanisms and measurement methods with implications for modelling", "description": "Plant-mediated CH4 transport (PMT) is the dominant pathway through which soil-produced CH4 can escape into the atmosphere and thus plays an important role in controlling ecosystem CH4 emission. PMT is affected by abiotic and biotic factors simultaneously, and the effects of biotic factors, such as the dominant plant species and their traits, can override the effects of abiotic factors. Increasing evidence shows that plant-mediated CH4 fluxes include not only PMT, but also within-plant CH4 production and oxidation due to the detection of methanogens and methanotrophs attached to the shoots. Despite the inter-species and seasonal differences, and the probable contribution of within-plant microbes to total plant-mediated CH4 exchange (PME), current process-based ecosystem models only estimate PMT based on the bulk biomass or leaf area index of aerenchymatous plants. We highlight five knowledge gaps to which more research efforts should be devoted. First, large between-species variation, even within the same family, complicates general estimation of PMT, and calls for further work on the key dominant species in different types of wetlands. Second, the interface (rhizosphere-root, root-shoot, or leaf-atmosphere) and plant traits controlling PMT remain poorly documented, but would be required for generalizations from species to relevant functional groups. Third, the main environmental controls of PMT across species remain uncertain. Fourth, the role of within-plant CH4 production and oxidation is poorly quantified. Fifth, the simplistic description of PMT in current process models results in uncertainty and potentially high errors in predictions of the ecosystem CH4 flux. Our review suggest that flux measurements should be conducted over multiple growing seasons and be paired with trait assessment and microbial analysis, and that trait-based models should be developed. Only then we are capable to accurately estimate plant-mediated CH4 emissions, and eventually ecosystem total CH4 emissions at both regional and global scales.", "keywords": ["Drivers", "330", "Plants", "Carbon Dioxide", "metaani", "Modelling", "Processes", "Soil", "Wetland plants", "Wetlands", "Mechanisms", "suot", "suokasvillisuus", "Plant CH4 transport", "Biomass", "Methane", "Ecosystem"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2023.169662"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2023.169662", "name": "item", "description": "10.1016/j.scitotenv.2023.169662", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2023.169662"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-01T00:00:00Z"}}, {"id": "10.1016/j.seta.2023.103071", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:17:01Z", "type": "Journal Article", "created": "2023-02-17", "title": "Voltage evolution and electrochemical behaviour of Soil microbial fuel cells operated in different quality soils", "description": "The desire for a net-zero carbon future is a key driver for innovation in renewable energy. Amongst several emerging solutions, soil microbial fuel cells (SMFCs) pose an interesting addition as a low-cost, carbon\u2013neutral technology. A full understanding on the electro-generative processes in SMFCs has, however, yet to be achieved, hindering the technology\u2019s translation into practical applications. In this study, an in-depth investigation into the evolution of the output voltage generated by membrane-less, flat-plate SMFCs that accounts for the contribution of both the anode and cathode potential is provided for the first time, along with a study of the influence that organic matter content and porosity in soil has on voltage dynamics. Four stages in voltage evolution over time were observed, which depended on soil properties. The content of organic matter had the greatest effect, leading to an output voltage nearly-three times higher, when it increased from 10 % to 50 %. In this case, the anode potential reached a value of \u2212450 mV, which prompted an exponential increase in the cathode potential and led to a power density of 68 mWm\u22122. The experimental findings were used to develop a novel computational model that, by predicting the electrochemical behaviour of the SMFC in different soils, becomes a powerful guide for operating strategies that can markedly enhance electricity generation. Consequently, this study sets the foundation for effective system optimisation and real applications.

", "keywords": ["Soil Microbial Fuel Cells", "/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy; name=SDG 7 - Affordable and Clean Energy", "13. Climate action", "Bioanode", "Bioenergy", "Bioanode; Biocathode; Bioenergy; Modelling; Soil Microbial Fuel Cells", "/dk/atira/pure/subjectarea/asjc/2100/2105; name=Renewable Energy", " Sustainability and the Environment", "7. Clean energy", "01 natural sciences", "Biocathode", "Modelling", "/dk/atira/pure/subjectarea/asjc/2100/2102; name=Energy Engineering and Power Technology", "0104 chemical sciences"]}, "links": [{"href": "https://iris.unica.it/bitstream/11584/358439/1/1-s2.0-S2213138823000632-main.pdf"}, {"href": "https://doi.org/10.1016/j.seta.2023.103071"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainable%20Energy%20Technologies%20and%20Assessments", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.seta.2023.103071", "name": "item", "description": "10.1016/j.seta.2023.103071", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.seta.2023.103071"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2018.08.014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:17:14Z", "type": "Journal Article", "created": "2018-09-19", "title": "Environmental drivers of the geographical distribution of methanotrophs: Insights from a national survey", "description": "Closed AccessM.D-B. acknowledges support from the Marie Sklodowska-Curie Actions of the Horizon 2020 Framework Programme H2020-MSCA-IF-2016 under REA grant agreement n\u00b0 702057. The B.K.S. team was supported by Australian Research Council grants (DP 170104634).", "keywords": ["PmoA", "2. Zero hunger", "0301 basic medicine", "0303 health sciences", "Spatial modelling", "spatial ecology", "niche (ecology)", "15. Life on land", "333", "03 medical and health sciences", "methanotrophs", "Methanotrophs", "Mapping", "Biogeography", "Niche partitioning", "13. Climate action", "XXXXXX - Unknown", "11. Sustainability", "mapping", "biogeography"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2018.08.014"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2018.08.014", "name": "item", "description": "10.1016/j.soilbio.2018.08.014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2018.08.014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-01T00:00:00Z"}}, {"id": "10.1016/j.tust.2019.02.016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-04T16:17:29Z", "type": "Journal Article", "created": "2019-03-08", "title": "Empirical and semi-analytical methods for evaluating tunnelling-induced ground movements in sands", "description": "Empirical formulas and closed-form solutions provide, in many cases, good predictions of tunnelling-induced ground movements which, when combined with their computational efficiency, make them valuable for tunnel-structure interaction analyses. For sandy soils, however, there is a shortage of available methods that can adequately describe the changes in soil deformation patterns that occur as a result of tunnel volume loss, soil relative density, and geometrical parameters. In this paper, two approaches are adopted to describe centrifuge test outcomes for tunnelling in dry silica sand of varying relative density. Firstly, empirical expressions for the prediction of settlement trough shape and magnitude are presented; additionally, a set of equations is given to describe the settlement troughs using modified Gaussian curves. Next, semi-analytical expressions (modifying an elastic analytical solution for incompressible soil and ovalized tunnel) are developed to predict both vertical and horizontal movements within the ground. Results from both methods can capture the main effects that cover-to-diameter ratio, relative density, and volume loss have on surface and subsurface ground movement profiles. The proposed expressions can be used for the calibration/verification of tunnel-structure interaction analysis methods by using outputs from comparable centrifuge tests; once verified, these methods may be more widely applied to other scenarios and used within design or risk-assessment exercises.", "keywords": ["Gorund movements", "Centrifuge modelling", "Analytical", "Tunelling", "Empirical", "Ingenier\u00eda Civil y de la Construcci\u00f3n", "ENG - Nottingham Centre for Geomechanics"]}, "links": [{"href": "https://doi.org/10.1016/j.tust.2019.02.016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Tunnelling%20and%20Underground%20Space%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.tust.2019.02.016", "name": "item", "description": "10.1016/j.tust.2019.02.016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.tust.2019.02.016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Modelling&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=Modelling&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=Modelling&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Modelling&offset=50", "hreflang": "en-US"}], "numberMatched": 237, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-05T08:57:45.814916Z"}