{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.4287780", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:38Z", "type": "Dataset", "title": "Forest carbon prospecting for climate change mitigation: Version 1.0", "description": "This data package includes the two 1-km resolution global maps (.tif) of tropical forests between ~23.44\u00b0N and 23.44\u00b0S produced from the study: 1) investible forest carbon (in tCO<sub>2</sub>e ha<sup>-1</sup>y<sup>-1</sup>) and 2) forest carbon return-on-investment (Net Present Value in USD ha<sup>-1</sup>y<sup>-1</sup>) over a 30-year timeframe. It also includes the R script to reproduce these layers and their uncertainties. <em><strong>Investible Forest Carbon</strong>: </em>The investible forest carbon map was produced based on the total volume of CO<sub>2</sub>e associated with the three main carbon pools in the tropics, namely aboveground carbon, belowground carbon and soil organic carbon. This is followed by the application of key Verified Carbon Standard (VCS) criteria including additionality, to determine the magnitude and areas of investible forest carbon across the tropics. <em>Aboveground carbon.</em> A stoichiometric factor of 0.475 was applied to recent spatial data on aboveground carbon biomass to obtain carbon stock based on established carbon accounting methodologies. An uncertainty analyses was also performed to account for potential variability in stoichiometric factor. Subsequently, a conversion factor of 3.67 was applied to the carbon stock layer to obtain the volume of CO<sub>2</sub>e associated with this carbon pool. <em>Belowground carbon</em>. Belowground carbon biomass was firstly derived by applying two allometric equations relating to root to shoot biomass to the most recent spatial dataset on aboveground carbon biomass following established carbon accounting methodologies. The two equations are: Belowground biomass = 0.489\u00d7aboveground biomass^0.89; and Belowground biomass = 0.26\u00d7aboveground biomass A stoichiometric factor of 0.475 was subsequently applied to the estimated belowground carbon biomass to obtain the carbon stock. An uncertainty analyses was then performed to determine the mean, minimum and maximum values for belowground carbon. Following that, a conversion factor of 3.67 was applied to the carbon stock layer to obtain the volume of CO<sub>2</sub>e associated with this carbon pool. <em>Soil Organic Carbon</em>. Organic carbon density of the topsoil layer (0-30 cm) was obtained from the European Soil Data Centre as it represented the best data available for soil organic carbon. A conversion factor of 3.67 was subsequently applied to derive the volume of CO<sub>2</sub>e associated with this carbon pool. <em>Applying VCS criteria</em>. The criterion of additionality is a pre-condition for carbon credits to be certified under the VCS. This implies that only the volume of forest carbon that are under imminent threat of decline or loss if left unprotected by a conservation intervention can be certified under the VCS. The volume of forest carbon under threat of loss was based on the best available data on predicted deforestation rates across the tropics (through to the year 2029), and annualized over predicted 15-year period. The estimated annual deforestation rates was then applied to the total volume of CO<sub>2</sub>e associated with tropical forests as estimated above, deriving the volume of CO<sub>2</sub>e that would be certifiable and thus investible under the VCS. In addition, a conservative 10-year decay estimate was assumed for the estimate of the belowground carbon pool, and lands that will likely not be certifiable for other reasons, including recently deforested areas (i.e. for the period of 2010-2017), a well as human settlements, were excluded. Lastly, the VCS requirement to set aside buffer credits of 20% was accounted for to consider the risk of non-permanence associated with Agriculture, Forestry and Other Land Use (AFOLU) projects. <strong><em>Return</em>-<em>on-Investment</em></strong>. From the investible forest carbon map, the relative profitability of these areas was then modelled to produce a global forest carbon return-on-investment map based on their NPV. The NPV of returns were based on several simplifying assumptions following established values from previous studies. <em>Cost of project establishment</em>. The cost of project establishment was estimated to be at $25 ha<sup>-1</sup>. This was based on a range of costs that are key to the development of a project, including but not limited to project design, governance and planning, enforcement, zonation, land tenure and acquisition, surveying and research. <em>Cost for annual maintenance</em>. The cost for annual maintenance was estimated to be $10 ha<sup>-1</sup>, which included aspects such as in education and communication, monitoring, sustainable livelihoods, marketing, finance and administration. <em>Carbon price</em>. A constant carbon price of $5.8 t<sup>-1</sup>CO\u00ad<sub>2</sub>e for the first five years was applied. This price was based on an average price of carbon for avoided deforestation projects reported recently by Forest Trends\u2019 Ecosystem Marketplace (i.e. for the period 2006 \u2013 2018). Subsequently, a 5% price appreciation was applied annually over a project timeframe of 30 years. <em>Discount rate</em>. We calculated NPV of annual and accumulated profits over 30 years based on a 10% risk-adjusted discount rate. Further details for these datasets and their uncertainties are presented in Koh et. al. For questions or issues on the spatial data layers, please contact Yiwen Zeng (zengyiwen@nus.edu.sg).", "keywords": ["Carbon stocks", "Climate change mitigation", "13. Climate action", "Carbon finance", "15. Life on land"], "contacts": [{"organization": "Koh, Lian Pin, Zeng, Yiwen, Sarira, Tasya Vadya, Siman, Kelly,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4287780"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4287780", "name": "item", "description": "10.5281/zenodo.4287780", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4287780"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-25T00:00:00Z"}}, {"id": "10.1007/s00466-018-1540-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:33Z", "type": "Journal Article", "created": "2018-01-10", "title": "Toward transient finite element simulation of thermal deformation of machine tools in real-time", "description": "Finite element models without simplifying assumptions can accurately describe the spatial and temporal distribution of heat in machine tools as well as the resulting deformation. In principle, this allows to correct for displacements of the Tool Centre Point and enables high precision manufacturing. However, the computational cost of FEM models and restriction to generic algorithms in commercial tools like ANSYS prevents their operational use since simulations have to run faster than real-time. For the case where heat diffusion is slow compared to machine movement, we introduce a tailored implicit-explicit multi-rate time stepping method of higher order based on spectral deferred corrections. Using the open-source FEM library DUNE, we show that fully coupled simulations of the temperature field are possible in real-time for a machine consisting of a stock sliding up and down on rails attached to a stand.", "keywords": ["FOS: Computer and information sciences", "Machine tool", "Numerical Analysis (math.NA)", "Systems and Control (eess.SY)", "Electrical Engineering and Systems Science - Systems and Control", "Real-time simulation", "Computational Engineering", " Finance", " and Science (cs.CE)", "Numerical time-stepping", "Spectral deferred corrections", "FOS: Mathematics", "FOS: Electrical engineering", " electronic engineering", " information engineering", "Thermal error", "Mathematics - Numerical Analysis", "Computer Science - Computational Engineering", " Finance", " and Science"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/125537/1/paper.pdf"}, {"href": "https://doi.org/10.1007/s00466-018-1540-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computational%20Mechanics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00466-018-1540-6", "name": "item", "description": "10.1007/s00466-018-1540-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00466-018-1540-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-10T00:00:00Z"}}, {"id": "10.1007/s10584-012-0438-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:46Z", "type": "Journal Article", "created": "2012-03-27", "title": "Carbon Sequestration Potential Of Parkland Agroforestry In The Sahel", "description": "Abstract           <p>Establishing parkland agroforestry on currently treeless cropland in the West African Sahel may help mitigate climate change. To evaluate its potential, we used climatically suitable ranges for parklands for 19 climate scenarios, derived by ecological niche modeling, for estimating potential carbon stocks in parkland and treeless cropland. A biocarbon business model was used to evaluate profitability of hypothetical Terrestrial Carbon Projects (TCPs), across a range of farm sizes, farm numbers, carbon prices and benefit sharing mechanisms. Using climate analogues, we explored potential climate change trajectories for selected locations. If mature parklands covered their maximum range, carbon stocks in Sahelian productive land would be about 1,284\uffc2\uffa0Tg, compared to 725\uffc2\uffa0Tg in a treeless scenario. Due to slow increase rates of total system carbon by 0.4\uffc2\uffa0Mg\uffc2\uffa0C\uffc2\uffa0ha\uffe2\uff88\uff921 a\uffe2\uff88\uff921, most TCPs at carbon prices that seem realistic today were not feasible, or required the participation of large numbers of farmers. For small farms, few TCP scenarios were feasible, and low Net Present Values for farmers made it unlikely that carbon payments would motivate many to participate in TCPs, unless additional benefits were provided. Climate analogue locations indicated an uncertain climate trajectory for the Sahel, but most scenarios projected increasing aridity and reduced suitability for parklands. The potentially severe impacts of climate change on Sahelian ecosystems and the uncertain profitability of TCPs make the Sahel highly risky for carbon investments. Given the likelihood of degrading environmental conditions, the search for appropriate adaptation strategies should take precedence over promoting mitigation activities.</p>", "keywords": ["Carbon sequestration", "Carbon accounting", "Atmospheric Science", "Adaptation to Climate Change in Agriculture", "Economics", "Profitability index", "7. Clean energy", "01 natural sciences", "agroforestry", "Agricultural and Biological Sciences", "Climate change mitigation", "Range (aeronautics)", "Rangeland Degradation", "Natural resource economics", "Soil water", "11. Sustainability", "Rangeland Degradation and Pastoral Livelihoods", "Carbon fibers", "Climate change", "Business", "agriculture", "2. Zero hunger", "Global and Planetary Change", "Ecology", "Life Sciences", "Composite number", "04 agricultural and veterinary sciences", "Soil carbon", "Physical Sciences", "Composite material", "Atmospheric carbon cycle", "Management", " Monitoring", " Policy and Law", "Greenhouse gas", "Environmental science", "Global Forest Transition", "Agroforestry", "climate", "Biology", "Ecology", " Evolution", " Behavior and Systematics", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "15. Life on land", "carbon sequestration", "Materials science", "Carbon dioxide", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "Drivers and Impacts of Tropical Deforestation", "Finance"]}, "links": [{"href": "https://doi.org/10.1007/s10584-012-0438-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Climatic%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10584-012-0438-0", "name": "item", "description": "10.1007/s10584-012-0438-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10584-012-0438-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-03-28T00:00:00Z"}}, {"id": "10.1016/j.foodres.2024.114342", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:10Z", "type": "Journal Article", "created": "2024-04-23", "title": "Microplastics in seafood: Consumer preferences and valuation for mitigation technologies", "description": "Abstract         <p>Microplastics, an emerging pollutant, have garnered widespread attention due to potential repercussions on human health and the environment. Given the critical role of seafood in food security, growing concerns about microplastics might be detrimental to meeting future global food demand. This study employs a discrete choice experiment to investigate Chilean consumers' preferences for technology aimed at mitigating microplastic levels in mussels. Using a between-subjects design with information treatments, we examined the impact of informing consumers about potential human health and environmental effects linked to microplastics pollution on their valuation for the technology. We found that the information treatments increased consumers\uffe2\uff80\uff99 willingness to pay for them. Specifically, consumers\uffe2\uff80\uff99 willingness to pay for mussels with a 90% depuration efficiency certification is around US$ 4. The provision of health impact information increased the price premium by 56%, while the provision of environmental information increased it by 21%. Furthermore, combined health and environmental information significantly increased the probability of non-purchasing behavior by 22.8% and the risk perception of microplastics for human health by 5.8%. These results emphasize the critical role of information in shaping consumer preferences and provide evidence for validating investment in research and development related to microplastic pollution mitigation measures.</p", "keywords": ["Male", "11 Ciudades y comunidades sostenibles", "Economics", "Strategy and Management", "Microplastics", "Social Sciences", "Choice Behavior", "01 natural sciences", "Microplastics pollution", "Natural resource economics", "11. Sustainability", "11 Sustainable Cities and Communities", "Microeconomics", "Willingness to pay", "Business", "Chile", "Environmental resource management", "Marketing", "2. Zero hunger", "12 Producci\u00f3n y consumo responsable", "Ecology", "Middle Aged", "Microplastic Pollution in Marine and Terrestrial Environments", "Pollution", "Management", "3. Good health", "Economics", " Econometrics and Finance", "Mitigation technology", "Environmental health", "14 Vida submarina", "Physical Sciences", "Medicine", "Female", "Information treatment", "12 Responsible Consumption and Production", "Adult", "06 Clean Water and Sanitation", "Economics and Econometrics", "Certification", "06 Agua limpia y saneamiento", "330", "Environmental economics", "Discrete Choice Models in Economics and Health Care", "Food Contamination", "Business", " Management and Accounting", "12. Responsible consumption", "FOS: Economics and business", "Young Adult", "Humans", "Animals", "Conceptualizing the Circular Economy and Sustainable Supply Chains", "14. Life underwater", "Discrete Choice Experiment", "Biology", "0105 earth and related environmental sciences", "9. Industry and infrastructure", "Human health", "Valuation (finance)", "Consumer Behavior", "14 Life Below Water", "Purchasing", "Bivalvia", "Seafood", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Water Pollutants", " Chemical", "Finance"]}, "links": [{"href": "https://doi.org/10.1016/j.foodres.2024.114342"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Food%20Research%20International", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foodres.2024.114342", "name": "item", "description": "10.1016/j.foodres.2024.114342", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foodres.2024.114342"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-05T00:00:00Z"}}, {"id": "10.1016/j.forpol.2021.102504", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:18Z", "type": "Journal Article", "created": "2021-05-18", "title": "Landholders' perceptions on legal reserves and agricultural intensification: Diversity and implications for forest conservation in the eastern Brazilian Amazon", "description": "Open AccessLa protecci\u00f3n de los bosques en tierras de propiedad privada es una piedra angular del marco de la pol\u00edtica ambiental brasile\u00f1a. La legislaci\u00f3n brasile\u00f1a exige que todas las fincas del pa\u00eds mantengan y protejan las \u00e1reas forestales conocidas como Reservas Legales. Dado que las Reservas Legales tienen importantes implicaciones para la protecci\u00f3n de los bosques y la producci\u00f3n agr\u00edcola, es clave que entendamos las percepciones de los propietarios de tierras hacia las Reservas Legales. Aplicamos la metodolog\u00eda Q para identificar diferentes perspectivas de los propietarios medianos y grandes sobre las Reservas Legales y su relaci\u00f3n con la intensificaci\u00f3n agr\u00edcola en el municipio de Paragominas, en la Amazon\u00eda oriental. Realizamos 31 entrevistas en las que los propietarios ordenaron 36 declaraciones en una matriz de distribuci\u00f3n casi normal. Se identificaron tres grupos de propietarios de tierras: 1) los entusiastas de la planificaci\u00f3n del uso de la tierra (n = 16) estaban interesados en iniciativas de zonificaci\u00f3n para explorar dise\u00f1os de paisajes alternativos y legislaci\u00f3n que puedan ofrecer mejores resultados de conservaci\u00f3n y producci\u00f3n; 2) los partidarios de la agricultura basada en agroqu\u00edmicos (n = 7) ten\u00edan los puntos de vista m\u00e1s cr\u00edticos contra las Reservas Legales y percib\u00edan sus costos como m\u00e1s altos que los posibles beneficios ambientales y de calidad de vida; 3) los respondedores del mercado complacientes con las pol\u00edticas (n = 4) no mostraron inter\u00e9s en las reformas de las Reservas Legales y fueron el grupo m\u00e1s impulsado por el mercado. Si bien Paragominas ha logrado \u00e9xitos notables en detener la deforestaci\u00f3n a gran escala a trav\u00e9s de un pacto social de 'Municipio Verde', abordar la persistente degradaci\u00f3n y fragmentaci\u00f3n de los bosques en la regi\u00f3n sigue siendo una prioridad clave. Las iniciativas de gobernanza local que tienen en cuenta las percepciones de m\u00faltiples partes interesadas sobre la protecci\u00f3n de los bosques pueden fomentar el di\u00e1logo y el entendimiento mutuo para conservar y restaurar eficazmente las Reservas Legales. Los conocimientos sobre las percepciones de los grandes terratenientes sobre las Reservas Legales pueden informar dichos procesos de gobernanza para conciliar la protecci\u00f3n forestal y la intensificaci\u00f3n agr\u00edcola sostenible en Paragominas.", "keywords": ["Amazonas (Brasil)", "Economics", "FOS: Political science", "SAO-FELIX", "Social Sciences", "NEEDS", "01 natural sciences", "Agricultural and Biological Sciences", "Reservas Forestales", "Natural resource economics", "conservation des for\u00eats", "FRONTIER", "Stakeholder", "11. Sustainability", "Business", "Environmental resource management", "intensification", "Political science", "Legal Reserve", "Environmental planning", "2. Zero hunger", "Global and Planetary Change", "Forest Reserves", "Corporate governance", "Geography", "Ecology", "[SDV.SA.AEP] Life Sciences [q-bio]/Agricultural sciences/Agriculture", " economy and politics", "Forest protection", "Life Sciences", "Agriculture", "Amazonas (Brazil)", "04 agricultural and veterinary sciences", "Brazilian Amazon", "LAND CONFLICT", "STATE", "Land Tenure and Property Rights in Agriculture", "Management", "Programming language", "Economics", " Econometrics and Finance", "Archaeology", "Physical Sciences", "d\u00e9boisement", "Biodiversity Conservation", "[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture", " forestry", "Forest Protection", "Forest conservation", "Economics and Econometrics", "propri\u00e9taire foncier", "Conservaci\u00f3n de la Diversidad Biol\u00f3gica", "Amazon rainforest", "Legislation", "Discrete Choice Models in Economics and Health Care", "Soil Science", "FOS: Law", "12. Responsible consumption", "Farmer perceptions", "SYSTEMS", "politique de l'environnement", "Agroforestry", "Biology", "Legal Pluralism", "0105 earth and related environmental sciences", "Protecci\u00f3n Forestal", "Agricultural intensification", "15. Life on land", "Computer science", "Q methodology", "Deforestation (computer science)", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "r\u00e9serve foresti\u00e8re", "r\u00e9serve naturelle", "0401 agriculture", " forestry", " and fisheries", "d\u00e9gradation des for\u00eats", "BIODIVERSITY", "DEFORESTATION", "Drivers and Impacts of Tropical Deforestation", "Law", "Finance"]}, "links": [{"href": "https://doi.org/10.1016/j.forpol.2021.102504"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Policy%20and%20Economics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.forpol.2021.102504", "name": "item", "description": "10.1016/j.forpol.2021.102504", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.forpol.2021.102504"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-01T00:00:00Z"}}, {"id": "10.3389/fenvs.2019.00058", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:14Z", "type": "Journal Article", "created": "2019-05-17", "title": "Development of an Agricultural Primary Productivity Decision Support Model: A Case Study in France", "description": "Agricultural soils provide society with several functions, one of which is primary productivity. This function is defined as the capacity of a soil to supply nutrients and water and to produce plant biomass for human use, providing food, feed, fiber, and fuel. For farmers, the productivity function delivers an economic basis and is a prerequisite for agricultural sustainability. Our study was designed to develop an agricultural primary productivity decision support model. To obtain a highly accurate decision support model that helps farmers and advisors to assess and manage the provision of the primary productivity soil function on their agricultural fields, we addressed the following specific objectives: (i) to construct a qualitative decision support model to assess the primary productivity soil function at the agricultural field level; (ii) to carry out verification, calibration, and sensitivity analysis of this model; and (iii) to validate the model based on empirical data. The result is a hierarchical qualitative model consisting of 25 input attributes describing soil properties, environmental conditions, cropping specifications, and management practices on each respective field. An extensive dataset from France containing data from 399 sites was used to calibrate and validate the model. The large amount of data enabled data mining to support model calibration. The accuracy of the decision support model prior to calibration supported by data mining was similar to 40%. The data mining approach improved the accuracy to 77%. The proposed methodology of combining decision modeling and data mining proved to be an important step forward. This iterative approach yielded an accurate, reliable, and useful decision support model for the assessment of the primary productivity soil function at the field level. This can assist farmers and advisors in selecting the most appropriate crop management practices. Embedding this decision support model in a set of complementary models for four adjacent soil functions, as endeavored in the H2020 LANDMARK project, will help take the integrated sustainability of arable cropping systems to a new level.", "keywords": ["2. Zero hunger", "agricultural decision-making", "006", "data mining", "04 agricultural and veterinary sciences", "soil functions", "15. Life on land", "[SHS.ECO]Humanities and Social Sciences/Economics and Finance", "yield", "12. Responsible consumption", "Environmental sciences", "expert knowledge", "decision support model", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "[SHS.ECO] Humanities and Social Sciences/Economics and Finance"]}, "links": [{"href": "https://doi.org/10.3389/fenvs.2019.00058"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Environmental%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fenvs.2019.00058", "name": "item", "description": "10.3389/fenvs.2019.00058", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fenvs.2019.00058"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-17T00:00:00Z"}}, {"id": "10.1016/j.jclepro.2020.125466", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:29Z", "type": "Journal Article", "created": "2020-12-16", "title": "Spatial differentiation characteristics and driving factors of agricultural eco-efficiency in Chinese provinces from the perspective of ecosystem services", "description": "Farmland ecosystem service is an important output of agricultural production, but it has been incompletely reflected in current studies on eco-efficiency. In this study, the value of improved farmland ecosystem services is used as one of the expected outputs. The data envelopment method is used to evaluate the agricultural eco-efficiency (AEE) of 31 provincial administrative regions in China from 2006 to 2018. The spatial autocorrelation method is used to explore the characteristics of AEE in China. Geographical detector model (Geodetector) is adopted to detect the driving factors of AEE spatial differentiation in China. China\u2019s AEE trend from 2006 to 2018 was downward with the efficiency value decreasing from 1.023 to 0.995. China\u2019s AEE level has improved with an average of 1.004. The spatial distribution pattern represented in space is in the following order: eastern region &gt; western region &gt; northeast region &gt; central region. The AEE gap among provinces in the western region is the largest, and that in the northeast region is the smallest. China\u2019s AEE spatial correlation distribution presents random distribution characteristics. During the research period, the lowehigh (LH) efficiency response area has centered on Yunnan Province. The lowelow (LL) level concentration area has centered on Inner Mongolia autonomous region and Liaoning Province. The highelow (HL) level diffusion effect agglomeration area has centered on Heilongjiang Province. Energy input, water resource input, and carbon emission are the core drivers of AEE spatial differentiation in China. Water resource input, pesticide input and labor input are the significant control factors of AEE spatial differentiation in the eastern, central, and western regions of China.", "keywords": ["Economics and Econometrics", "China", "Environmental Engineering", "Economics", "Discrete Choice Models in Economics and Health Care", "Social Sciences", "Mathematical analysis", "01 natural sciences", "Environmental science", "Data envelopment analysis", "Life Cycle Assessment and Environmental Impact Analysis", "11. Sustainability", "FOS: Mathematics", "Ecosystem services", "Spatial distribution", "Biology", "Ecosystem Services", "Ecosystem", "0105 earth and related environmental sciences", "Agricultural economics", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "Distribution (mathematics)", "Statistics", "FOS: Environmental engineering", "Spatial analysis", "Agriculture", "Remote sensing", "15. Life on land", "Economics", " Econometrics and Finance", "Driving factors", "Archaeology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Spatial heterogeneity", "Common spatial pattern", "Mathematics"]}, "links": [{"href": "https://doi.org/10.1016/j.jclepro.2020.125466"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jclepro.2020.125466", "name": "item", "description": "10.1016/j.jclepro.2020.125466", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jclepro.2020.125466"}, {"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": "10.19103/as.2021.0098.15", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:34Z", "type": "Report", "created": "2022-05-09", "title": "Integrated weed management in grasslands", "description": "<p>This chapter describes the current status of IWM for grasslands. Its focus is on management practices available to influence transitions in a weed\uffe2\uff80\uff99s life cycle: from the soil seed bank to seedling establishment, from the seedling stage to the mature plant, and from the mature plant to the soil seed bank. We provide a conceptual approach to illustrate how management practices available in IWM affect different transitions and then discuss case studies to illustrate how weed management practices have been integrated. The chapter ends with an outlook for further improving IWM in grasslands, especially also under climate change, and for promoting its application.</p>", "keywords": ["seed bank", "thema EDItEUR::K Economics", " Finance", " Business and Management::KN Industry and industrial studies::KNA Agribusiness and primary industries::KNAL Forestry industry", "herbicides", "invasive non-native plant species (INNPs)", "thema EDItEUR::T Technology", " Engineering", " Agriculture", " Industrial processes::TV Agriculture and farming::TVP Pest control / plant diseases", "thema EDItEUR::T Technology", " Engineering", " Agriculture", " Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture", "biological control", "sward", "thema EDItEUR::R Earth Sciences", " Geography", " Environment", " Planning::RG Geography::RGB Physical geography and topography::RGBC Plains and grasslands"], "contacts": [{"organization": "Schaffner, Urs, M\u00fcller-Sch\u00e4rer, Heinz, L\u00fcscher, Andreas,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.19103/as.2021.0098.15"}, {"rel": "self", "type": "application/geo+json", "title": "10.19103/as.2021.0098.15", "name": "item", "description": "10.19103/as.2021.0098.15", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.19103/as.2021.0098.15"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-26T00:00:00Z"}}, {"id": "10.22004/ag.econ.265169", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:00Z", "keywords": ["Agricultural Finance", "Agricultural and Food Policy", "soil quality", " soil fertility", " organic matter", " plant height", " crop yield", "Agribusiness"], "contacts": [{"organization": "Gautam, Deepak K., Bajracharya, Roshan M., Sitaula, Bishal K., Gautam, Deepak K., Bajracharya, Roshan M., Sitaula, Bishal K.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.22004/ag.econ.265169"}, {"rel": "self", "type": "application/geo+json", "title": "10.22004/ag.econ.265169", "name": "item", "description": "10.22004/ag.econ.265169", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.22004/ag.econ.265169"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.22004/ag.econ.291164", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:00Z", "type": "Journal Article", "title": "Bumper Crop or Dearth: An Economic Methodology to Identify the Disruptive Effects of Climatic Variables on French Agriculture", "description": "Open AccessThis study provides an economic method to identify the impact of changes in stochastic (climatic) and non-stochastic (farm managed) inputs on the production of a representative sample of French field crop farms between 1990 and 2015. This economic decompositionmethod specifically attributes output changes to the impact of soil characteristics, climatic variables, non-stochastic farm managed inputs, and technological adaptation change. We quantify these impacts by decomposing product changes over time via Luenberger-type indicators, through a second-order flexible parametric technology estimation. We identify large disruptive effects due to climatic variables, especially since the beginning of this century.", "keywords": ["2. Zero hunger", "climatic variability", "[SDE.MCG] Environmental Sciences/Global Changes", "Production Economics", "13. Climate action", "weather", "agricultural production", "France", "15. Life on land", "[SHS.ECO] Humanities and Social Sciences/Economics and Finance"], "contacts": [{"organization": "Pieralli, Simone, Pieralli, Simone,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.22004/ag.econ.291164"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Conference%20Paper", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.22004/ag.econ.291164", "name": "item", "description": "10.22004/ag.econ.291164", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.22004/ag.econ.291164"}, {"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": "10.3929/ethz-b-000442910", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:44Z", "type": "Journal Article", "created": "2021-02-26", "title": "A local basis approximation approach for nonlinear parametric model order reduction", "description": "Open AccessJournal of Sound and Vibration, 502", "keywords": ["FOS: Computer and information sciences", "Parametric model order reduction (pMOR)", "Reduced order model", "Numerical Analysis (math.NA)", "Reduced bases interpolation", "01 natural sciences", "As-built as-deployed structures", "Nonlinear reduction", "Computational Engineering", " Finance", " and Science (cs.CE)", "As-built as-deployed structures; Parametric model order reduction (pMOR); Nonlinear reduction; Reduced bases interpolation", "Parametric modeling", "FOS: Mathematics", "nonlinear dynamical systems", "Mathematics - Numerical Analysis", "Reduced order model; nonlinear dynamical systems; Parametric modeling", "0101 mathematics", "Computer Science - Computational Engineering", " Finance", " and Science"]}, "links": [{"href": "https://doi.org/10.3929/ethz-b-000442910"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Sound%20and%20Vibration", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3929/ethz-b-000442910", "name": "item", "description": "10.3929/ethz-b-000442910", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3929/ethz-b-000442910"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-01T00:00:00Z"}}, {"id": "10.48550/arxiv.2003.13395", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:51Z", "type": "Journal Article", "created": "2020-02-06", "title": "Tall wheatgrass (Thinopyrum ponticum (Podp)) in a real farm context, a sustainable perennial alternative to rye (Secale cereale L.) cultivation in marginal lands", "description": "Open AccessIn order to face the expected increasing demand of energy crops without creating conflicts of land occupation sustainability, farmers need to find reliable alternatives in marginal agricultural areas where the production of food hardly ever is economically and environmentally sustainable. The purpose of this work was the study of the viability of the introduction of new non food crops in marginal areas of real farms. This study compares the profit margin and the energy and environmental performance of growing tall wheatgrass, in the marginal area of a rainfed farm versus rye, the annual crop sowed traditionally in the marginal area of the farm. The cited farm owned 300 ha of which about 13 percent was marginal. The methodology was based on the use of the profit margin of the crops as indicator for the economic assessment and Life Cycle Assessment LCA as technique for the energy and the environmental evaluations. Results of the economic analysis showed a slight enhancement of the profit margin for tall wheatgrass 156 Euro ha-1 y-1 compared to rye 145 Euro ha-1 y-1. Environmental LCA was driven by CO2 fixation due to soil organic matter increase and reduced inputs consumption for tall wheatgrass that produced a Global Warming Potential GWP of -1.9 Mg CO2 eq ha-1 y-1 versus 1.6 Mg CO2 eq ha-1 y-1 obtained for rye. Tall wheatgrass cultivation primary energy consumption was less than 40 percent of rye s consumption. According to the results achieved it was concluded that tall wheatgrass is better option than rye from the energy and the environmental point of views and slight better option from the economic view. Considering these results, monetarization of the CO2 eq reductions of tall wheatgrass compared to rye is essential to improve its profit margin and promote the implantation of this new crop in marginal areas of farms.", "keywords": ["FOS: Economics and business", "2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Quantitative Finance - General Finance", "General Finance (q-fin.GN)", "01 natural sciences", "7. Clean energy", "0105 earth and related environmental sciences", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.48550/arxiv.2003.13395"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Industrial%20Crops%20and%20Products", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.48550/arxiv.2003.13395", "name": "item", "description": "10.48550/arxiv.2003.13395", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48550/arxiv.2003.13395"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-01T00:00:00Z"}}, {"id": "10.5683/sp3/bmslxj", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:05Z", "type": "Dataset", "created": "2003-09-02", "title": "Enqu\u00eate sociale g\u00e9n\u00e9rale, Cycle 16, 2002 [Canada] : Le vieillissement et le soutien social, Fichier d'aide fournie par le r\u00e9pondant (65 ans et plus)", "description": "Open AccessLe cycle 16 de l'ESG est le deuxi\u00e8me (apr\u00e8s le cycle 11) \u00e0 recueillir de l'information sur le soutien social des personnes vieillissantes du Canada, tout en introduisant des modules sur la planification et l'exp\u00e9rience de la retraite. L'ESG est une enqu\u00eate t\u00e9l\u00e9phonique annuelle portant sur la population non institutionnelle des 10 provinces. Les r\u00e9pondants ont \u00e9t\u00e9 choisis au hasard \u00e0 partir d'une liste de personnes \u00e2g\u00e9es de 45 ans et plus qui avaient d\u00e9j\u00e0 particip\u00e9 \u00e0 une autre enqu\u00eate de Statistique Canada. Les donn\u00e9es ont \u00e9t\u00e9 recueillies sur une p\u00e9riode de 11 mois, soit de f\u00e9vrier \u00e0 d\u00e9cembre 2002. L'\u00e9chantillon repr\u00e9sentatif comptait environ 25 000 r\u00e9pondants. Le taux de r\u00e9ponse \u00e9tait \u00e0 un peu moins de 84 %. Alors que l'objectif principal de l'ESG de 2002 \u00e9tait de fournir des donn\u00e9es sur la population vieillissante, l'enqu\u00eate permettra d'analyser en d\u00e9tail les caract\u00e9ristiques de la famille et des amis qui offrent de l'aide aux a\u00een\u00e9s, les caract\u00e9ristiques des a\u00een\u00e9s qui re\u00e7oivent de l'aide \u00e0 la maison et dans la collectivit\u00e9, les facteurs d\u00e9terminants \u00e0 propos de la sant\u00e9 (tels que le revenu, la scolarit\u00e9 et les relations sociales) ainsi que la planification et l'exp\u00e9rience de la retraite. Le programme de l\u2019Enqu\u00eate sociale g\u00e9n\u00e9rale (ESG), qui a d\u00e9but\u00e9 en 1985, consiste \u00e0 mener des enqu\u00eates t\u00e9l\u00e9phoniques dans les 10 provinces. L\u2019ESG est reconnue comme un outil qui assure la collecte continue de donn\u00e9es transversales, ce qui permet en retour d\u2019analyser les tendances, et qui permet l\u2019\u00e9laboration et la mise \u00e0 l\u2019essai de nouveaux concepts qui tiennent compte des nouvelles questions d\u2019int\u00e9r\u00eat. L\u2019Enqu\u00eate sociale g\u00e9n\u00e9rale a pour objectifs principaux de : rassembler des donn\u00e9es sur les tendances sociales, de mani\u00e8re \u00e0 suivre l\u2019\u00e9volution des modes de vie et du bien-\u00eatre des Canadiens; et fournir des renseignements imm\u00e9diats sur des questions de politique sociale pr\u00e9cises qui suscitent d\u00e9j\u00e0 ou qui susciteront de l\u2019int\u00e9r\u00eat.", "keywords": ["Age", "Soins de sant\u00e9", "Finances", "Soutien social", "Social Sciences", "Enqu\u00eates sociales", "Revenu", "Fournisseurs de soins", "Soins", "Emploi", "Retraite"], "contacts": [{"organization": "Division de la statistique sociale, du logement et des familles", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5683/sp3/bmslxj"}, {"rel": "self", "type": "application/geo+json", "title": "10.5683/sp3/bmslxj", "name": "item", "description": "10.5683/sp3/bmslxj", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5683/sp3/bmslxj"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.60692/9nxrv-e7y75", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:26Z", "type": "Journal Article", "created": "2020-12-16", "title": "Spatial differentiation characteristics and driving factors of agricultural eco-efficiency in Chinese provinces from the perspective of ecosystem services", "description": "Farmland ecosystem service is an important output of agricultural production, but it has been incompletely reflected in current studies on eco-efficiency. In this study, the value of improved farmland ecosystem services is used as one of the expected outputs. The data envelopment method is used to evaluate the agricultural eco-efficiency (AEE) of 31 provincial administrative regions in China from 2006 to 2018. The spatial autocorrelation method is used to explore the characteristics of AEE in China. Geographical detector model (Geodetector) is adopted to detect the driving factors of AEE spatial differentiation in China. China\u2019s AEE trend from 2006 to 2018 was downward with the efficiency value decreasing from 1.023 to 0.995. China\u2019s AEE level has improved with an average of 1.004. The spatial distribution pattern represented in space is in the following order: eastern region &gt; western region &gt; northeast region &gt; central region. The AEE gap among provinces in the western region is the largest, and that in the northeast region is the smallest. China\u2019s AEE spatial correlation distribution presents random distribution characteristics. During the research period, the lowehigh (LH) efficiency response area has centered on Yunnan Province. The lowelow (LL) level concentration area has centered on Inner Mongolia autonomous region and Liaoning Province. The highelow (HL) level diffusion effect agglomeration area has centered on Heilongjiang Province. Energy input, water resource input, and carbon emission are the core drivers of AEE spatial differentiation in China. Water resource input, pesticide input and labor input are the significant control factors of AEE spatial differentiation in the eastern, central, and western regions of China.", "keywords": ["Economics and Econometrics", "China", "Environmental Engineering", "Economics", "Discrete Choice Models in Economics and Health Care", "Social Sciences", "Mathematical analysis", "01 natural sciences", "Environmental science", "Data envelopment analysis", "Life Cycle Assessment and Environmental Impact Analysis", "11. Sustainability", "FOS: Mathematics", "Ecosystem services", "Spatial distribution", "Biology", "Ecosystem Services", "Ecosystem", "0105 earth and related environmental sciences", "Agricultural economics", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "Distribution (mathematics)", "Statistics", "FOS: Environmental engineering", "Spatial analysis", "Agriculture", "Remote sensing", "15. Life on land", "Economics", " Econometrics and Finance", "Driving factors", "Archaeology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Spatial heterogeneity", "Common spatial pattern", "Mathematics"]}, "links": [{"href": "https://doi.org/10.60692/9nxrv-e7y75"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/9nxrv-e7y75", "name": "item", "description": "10.60692/9nxrv-e7y75", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/9nxrv-e7y75"}, {"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": "10.7712/120217.5379.16904", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:37Z", "type": "Journal Article", "created": "2017-10-03", "title": "MUTLISCALE SURROGATE MODELING AND UNCERTAINTY QUANTIFICATION FOR PERIODIC COMPOSITE STRUCTURES", "description": "Open AccessAppeared in UNCECOMP 2017", "keywords": ["Computational Engineering", " Finance", " and Science (cs.CE)", "FOS: Computer and information sciences", "Principal Component Analysis", "Polynomial Chaos Expansions; Asymptotic Expansion Homogenization; Composite Analysis; Principal Component Analysis; Random Microstructure", "Computer Science - Computational Engineering", " Finance", " and Science", "Asymptotic Expansion Homogenization", "Composite Analysis", "Polynomial Chaos Expansions", "Random Microstructure"], "contacts": [{"organization": "Mylonas, Charilaos, Valentin, Bemetz, Chatzi, Eleni,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7712/120217.5379.16904"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%202nd%20International%20Conference%20on%20Uncertainty%20Quantification%20in%20Computational%20Sciences%20and%20Engineering%20%28UNCECOMP%202017%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.7712/120217.5379.16904", "name": "item", "description": "10.7712/120217.5379.16904", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7712/120217.5379.16904"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "1707.03581", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:15Z", "type": "Journal Article", "created": "2018-01-10", "title": "Toward transient finite element simulation of thermal deformation of machine tools in real-time", "description": "Finite element models without simplifying assumptions can accurately describe the spatial and temporal distribution of heat in machine tools as well as the resulting deformation. In principle, this allows to correct for displacements of the Tool Centre Point and enables high precision manufacturing. However, the computational cost of FEM models and restriction to generic algorithms in commercial tools like ANSYS prevents their operational use since simulations have to run faster than real-time. For the case where heat diffusion is slow compared to machine movement, we introduce a tailored implicit-explicit multi-rate time stepping method of higher order based on spectral deferred corrections. Using the open-source FEM library DUNE, we show that fully coupled simulations of the temperature field are possible in real-time for a machine consisting of a stock sliding up and down on rails attached to a stand.", "keywords": ["FOS: Computer and information sciences", "real-time simulation", "Machine tool", "Finite element methods applied to problems in solid mechanics", "spectral deferred correction", "explicit-implicit multi-rate time-stepping method", "Numerical Analysis (math.NA)", "Systems and Control (eess.SY)", "Electrical Engineering and Systems Science - Systems and Control", "Real-time simulation", "Computational Engineering", " Finance", " and Science (cs.CE)", "Thermal effects in solid mechanics", "Numerical time-stepping", "Spectral deferred corrections", "FOS: Mathematics", "FOS: Electrical engineering", " electronic engineering", " information engineering", "Thermal error", "Mathematics - Numerical Analysis", "thermal error", "Computer Science - Computational Engineering", " Finance", " and Science"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/125537/1/paper.pdf"}, {"href": "https://doi.org/1707.03581"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computational%20Mechanics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1707.03581", "name": "item", "description": "1707.03581", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1707.03581"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-10T00:00:00Z"}}, {"id": "20.500.12123/10635", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:31Z", "type": "Journal Article", "created": "2021-05-18", "title": "Landholders' perceptions on legal reserves and agricultural intensification: Diversity and implications for forest conservation in the eastern Brazilian Amazon", "description": "Open AccessLa protecci\u00f3n de los bosques en tierras de propiedad privada es una piedra angular del marco de la pol\u00edtica ambiental brasile\u00f1a. La legislaci\u00f3n brasile\u00f1a exige que todas las fincas del pa\u00eds mantengan y protejan las \u00e1reas forestales conocidas como Reservas Legales. Dado que las Reservas Legales tienen importantes implicaciones para la protecci\u00f3n de los bosques y la producci\u00f3n agr\u00edcola, es clave que entendamos las percepciones de los propietarios de tierras hacia las Reservas Legales. Aplicamos la metodolog\u00eda Q para identificar diferentes perspectivas de los propietarios medianos y grandes sobre las Reservas Legales y su relaci\u00f3n con la intensificaci\u00f3n agr\u00edcola en el municipio de Paragominas, en la Amazon\u00eda oriental. Realizamos 31 entrevistas en las que los propietarios ordenaron 36 declaraciones en una matriz de distribuci\u00f3n casi normal. Se identificaron tres grupos de propietarios de tierras: 1) los entusiastas de la planificaci\u00f3n del uso de la tierra (n = 16) estaban interesados en iniciativas de zonificaci\u00f3n para explorar dise\u00f1os de paisajes alternativos y legislaci\u00f3n que puedan ofrecer mejores resultados de conservaci\u00f3n y producci\u00f3n; 2) los partidarios de la agricultura basada en agroqu\u00edmicos (n = 7) ten\u00edan los puntos de vista m\u00e1s cr\u00edticos contra las Reservas Legales y percib\u00edan sus costos como m\u00e1s altos que los posibles beneficios ambientales y de calidad de vida; 3) los respondedores del mercado complacientes con las pol\u00edticas (n = 4) no mostraron inter\u00e9s en las reformas de las Reservas Legales y fueron el grupo m\u00e1s impulsado por el mercado. Si bien Paragominas ha logrado \u00e9xitos notables en detener la deforestaci\u00f3n a gran escala a trav\u00e9s de un pacto social de 'Municipio Verde', abordar la persistente degradaci\u00f3n y fragmentaci\u00f3n de los bosques en la regi\u00f3n sigue siendo una prioridad clave. Las iniciativas de gobernanza local que tienen en cuenta las percepciones de m\u00faltiples partes interesadas sobre la protecci\u00f3n de los bosques pueden fomentar el di\u00e1logo y el entendimiento mutuo para conservar y restaurar eficazmente las Reservas Legales. Los conocimientos sobre las percepciones de los grandes terratenientes sobre las Reservas Legales pueden informar dichos procesos de gobernanza para conciliar la protecci\u00f3n forestal y la intensificaci\u00f3n agr\u00edcola sostenible en Paragominas.", "keywords": ["Amazonas (Brasil)", "Economics", "FOS: Political science", "SAO-FELIX", "http://aims.fao.org/aos/agrovoc/c_16141", "Social Sciences", "NEEDS", "01 natural sciences", "Agricultural and Biological Sciences", "Reservas Forestales", "Natural resource economics", "conservation des for\u00eats", "FRONTIER", "K01 - Foresterie - Consid\u00e9rations g\u00e9n\u00e9rales", "Stakeholder", "11. Sustainability", "Business", "Environmental resource management", "intensification", "Political science", "Legal Reserve", "Environmental planning", "2. Zero hunger", "Global and Planetary Change", "Forest Reserves", "Corporate governance", "Geography", "Ecology", "[SDV.SA.AEP] Life Sciences [q-bio]/Agricultural sciences/Agriculture", " economy and politics", "Forest protection", "Life Sciences", "Agriculture", "Amazonas (Brazil)", "04 agricultural and veterinary sciences", "Brazilian Amazon", "LAND CONFLICT", "STATE", "Land Tenure and Property Rights in Agriculture", "Management", "Programming language", "E11 - \u00c9conomie et politique fonci\u00e8res", "Economics", " Econometrics and Finance", "Archaeology", "http://aims.fao.org/aos/agrovoc/c_4184", "Physical Sciences", "d\u00e9boisement", "Biodiversity Conservation", "[SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture", " forestry", "Forest Protection", "Forest conservation", "Economics and Econometrics", "propri\u00e9taire foncier", "Conservaci\u00f3n de la Diversidad Biol\u00f3gica", "Amazon rainforest", "Legislation", "Discrete Choice Models in Economics and Health Care", "Soil Science", "http://aims.fao.org/aos/agrovoc/c_15590", "FOS: Law", "http://aims.fao.org/aos/agrovoc/c_331593", "12. Responsible consumption", "Farmer perceptions", "SYSTEMS", "politique de l'environnement", "http://aims.fao.org/aos/agrovoc/c_1374158672853", "K70 - D\u00e9g\u00e2ts caus\u00e9s aux for\u00eats et leur protection", "Agroforestry", "http://aims.fao.org/aos/agrovoc/c_2597", "Biology", "Legal Pluralism", "0105 earth and related environmental sciences", "Protecci\u00f3n Forestal", "http://aims.fao.org/aos/agrovoc/c_28136", "Agricultural intensification", "15. Life on land", "Computer science", "Q methodology", "Deforestation (computer science)", "13. Climate action", "http://aims.fao.org/aos/agrovoc/c_33485", "FOS: Biological sciences", "Environmental Science", "r\u00e9serve foresti\u00e8re", "r\u00e9serve naturelle", "0401 agriculture", " forestry", " and fisheries", "d\u00e9gradation des for\u00eats", "BIODIVERSITY", "DEFORESTATION", "Drivers and Impacts of Tropical Deforestation", "Law", "Finance"]}, "links": [{"href": "https://doi.org/20.500.12123/10635"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Policy%20and%20Economics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.12123/10635", "name": "item", "description": "20.500.12123/10635", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12123/10635"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-01T00:00:00Z"}}, {"id": "2407.19776", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:45Z", "type": "Journal Article", "created": "2024-04-04", "title": "Advancement of metal oxide nanomaterials on agri-food fronts", "description": "The application of metal oxide nanomaterials (MOx NMs) in the agrifood industry offers innovative solutions that can facilitate a paradigm shift in a sector that is currently facing challenges in meeting the growing requirements for food production, while safeguarding the environment from the impacts of current agriculture practices. This review comprehensively illustrates recent advancements and applications of MOx for sustainable practices in the food and agricultural industries and environmental preservation. Relevant published data point out that MOx NMs can be tailored for specific properties, enabling advanced design concepts with improved features for various applications in the agrifood industry. Applications include nano-agrochemical formulation, control of food quality through nanosensors, and smart food packaging. Furthermore, recent research suggests MOx's vital role in addressing environmental challenges by removing toxic elements from contaminated soil and water. This mitigates the environmental effects of widespread agrichemical use and creates a more favorable environment for plant growth. The review also discusses potential barriers, particularly regarding MOx toxicity and risk evaluation. Fundamental concerns about possible adverse effects on human health and the environment must be addressed to establish an appropriate regulatory framework for nano metal oxide-based food and agricultural products.", "keywords": ["FOS: Computer and information sciences", "2. Zero hunger", "Food Packaging", "Metal Nanoparticles", "Oxides", "Agriculture", "02 engineering and technology", "01 natural sciences", "Nanostructures", "0104 chemical sciences", "12. Responsible consumption", "Computational Engineering", " Finance", " and Science (cs.CE)", "Metals", "13. Climate action", "Computer Science - Computational Engineering", " Finance", " and Science", "0210 nano-technology"]}, "links": [{"href": "https://doi.org/2407.19776"}, {"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": "2407.19776", "name": "item", "description": "2407.19776", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2407.19776"}, {"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": "2735859580", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:49Z", "type": "Journal Article", "created": "2018-01-10", "title": "Toward transient finite element simulation of thermal deformation of machine tools in real-time", "description": "Finite element models without simplifying assumptions can accurately describe the spatial and temporal distribution of heat in machine tools as well as the resulting deformation. In principle, this allows to correct for displacements of the Tool Centre Point and enables high precision manufacturing. However, the computational cost of FEM models and restriction to generic algorithms in commercial tools like ANSYS prevents their operational use since simulations have to run faster than real-time. For the case where heat diffusion is slow compared to machine movement, we introduce a tailored implicit-explicit multi-rate time stepping method of higher order based on spectral deferred corrections. Using the open-source FEM library DUNE, we show that fully coupled simulations of the temperature field are possible in real-time for a machine consisting of a stock sliding up and down on rails attached to a stand.", "keywords": ["FOS: Computer and information sciences", "Machine tool", "Numerical Analysis (math.NA)", "Systems and Control (eess.SY)", "Electrical Engineering and Systems Science - Systems and Control", "Real-time simulation", "Computational Engineering", " Finance", " and Science (cs.CE)", "Numerical time-stepping", "Spectral deferred corrections", "FOS: Mathematics", "FOS: Electrical engineering", " electronic engineering", " information engineering", "Thermal error", "Mathematics - Numerical Analysis", "Computer Science - Computational Engineering", " Finance", " and Science"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/125537/1/paper.pdf"}, {"href": "https://doi.org/2735859580"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computational%20Mechanics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2735859580", "name": "item", "description": "2735859580", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2735859580"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-10T00:00:00Z"}}, {"id": "2946389500", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:56Z", "type": "Journal Article", "created": "2019-05-17", "title": "Development of an Agricultural Primary Productivity Decision Support Model: A Case Study in France", "description": "Agricultural soils provide society with several functions, one of which is primary productivity. This function is defined as the capacity of a soil to supply nutrients and water and to produce plant biomass for human use, providing food, feed, fiber, and fuel. For farmers, the productivity function delivers an economic basis and is a prerequisite for agricultural sustainability. Our study was designed to develop an agricultural primary productivity decision support model. To obtain a highly accurate decision support model that helps farmers and advisors to assess and manage the provision of the primary productivity soil function on their agricultural fields, we addressed the following specific objectives: (i) to construct a qualitative decision support model to assess the primary productivity soil function at the agricultural field level; (ii) to carry out verification, calibration, and sensitivity analysis of this model; and (iii) to validate the model based on empirical data. The result is a hierarchical qualitative model consisting of 25 input attributes describing soil properties, environmental conditions, cropping specifications, and management practices on each respective field. An extensive dataset from France containing data from 399 sites was used to calibrate and validate the model. The large amount of data enabled data mining to support model calibration. The accuracy of the decision support model prior to calibration supported by data mining was similar to 40%. The data mining approach improved the accuracy to 77%. The proposed methodology of combining decision modeling and data mining proved to be an important step forward. This iterative approach yielded an accurate, reliable, and useful decision support model for the assessment of the primary productivity soil function at the field level. This can assist farmers and advisors in selecting the most appropriate crop management practices. Embedding this decision support model in a set of complementary models for four adjacent soil functions, as endeavored in the H2020 LANDMARK project, will help take the integrated sustainability of arable cropping systems to a new level.", "keywords": ["2. Zero hunger", "agricultural decision-making", "006", "data mining", "04 agricultural and veterinary sciences", "soil functions", "15. Life on land", "[SHS.ECO]Humanities and Social Sciences/Economics and Finance", "yield", "12. Responsible consumption", "Environmental sciences", "expert knowledge", "decision support model", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "[SHS.ECO] Humanities and Social Sciences/Economics and Finance"]}, "links": [{"href": "https://doi.org/2946389500"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Environmental%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2946389500", "name": "item", "description": "2946389500", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2946389500"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-17T00:00:00Z"}}, {"id": "3111070593", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:10Z", "type": "Journal Article", "created": "2020-12-16", "title": "Spatial differentiation characteristics and driving factors of agricultural eco-efficiency in Chinese provinces from the perspective of ecosystem services", "description": "Farmland ecosystem service is an important output of agricultural production, but it has been incompletely reflected in current studies on eco-efficiency. In this study, the value of improved farmland ecosystem services is used as one of the expected outputs. The data envelopment method is used to evaluate the agricultural eco-efficiency (AEE) of 31 provincial administrative regions in China from 2006 to 2018. The spatial autocorrelation method is used to explore the characteristics of AEE in China. Geographical detector model (Geodetector) is adopted to detect the driving factors of AEE spatial differentiation in China. China\u2019s AEE trend from 2006 to 2018 was downward with the efficiency value decreasing from 1.023 to 0.995. China\u2019s AEE level has improved with an average of 1.004. The spatial distribution pattern represented in space is in the following order: eastern region &gt; western region &gt; northeast region &gt; central region. The AEE gap among provinces in the western region is the largest, and that in the northeast region is the smallest. China\u2019s AEE spatial correlation distribution presents random distribution characteristics. During the research period, the lowehigh (LH) efficiency response area has centered on Yunnan Province. The lowelow (LL) level concentration area has centered on Inner Mongolia autonomous region and Liaoning Province. The highelow (HL) level diffusion effect agglomeration area has centered on Heilongjiang Province. Energy input, water resource input, and carbon emission are the core drivers of AEE spatial differentiation in China. Water resource input, pesticide input and labor input are the significant control factors of AEE spatial differentiation in the eastern, central, and western regions of China.", "keywords": ["Economics and Econometrics", "China", "Environmental Engineering", "Economics", "Discrete Choice Models in Economics and Health Care", "Social Sciences", "Mathematical analysis", "01 natural sciences", "Environmental science", "Data envelopment analysis", "Life Cycle Assessment and Environmental Impact Analysis", "11. Sustainability", "FOS: Mathematics", "Ecosystem services", "Spatial distribution", "Biology", "Ecosystem Services", "Ecosystem", "0105 earth and related environmental sciences", "Agricultural economics", "2. Zero hunger", "Global and Planetary Change", "Global Analysis of Ecosystem Services and Land Use", "Geography", "Ecology", "Distribution (mathematics)", "Statistics", "FOS: Environmental engineering", "Spatial analysis", "Agriculture", "Remote sensing", "15. Life on land", "Economics", " Econometrics and Finance", "Driving factors", "Archaeology", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Spatial heterogeneity", "Common spatial pattern", "Mathematics"]}, "links": [{"href": "https://doi.org/3111070593"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3111070593", "name": "item", "description": "3111070593", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3111070593"}, {"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": "38763635", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:30Z", "type": "Journal Article", "created": "2024-04-22", "title": "Microplastics in seafood: Consumer preferences and valuation for mitigation technologies", "description": "Abstract         <p>Microplastics, an emerging pollutant, have garnered widespread attention due to potential repercussions on human health and the environment. Given the critical role of seafood in food security, growing concerns about microplastics might be detrimental to meeting future global food demand. This study employs a discrete choice experiment to investigate Chilean consumers' preferences for technology aimed at mitigating microplastic levels in mussels. Using a between-subjects design with information treatments, we examined the impact of informing consumers about potential human health and environmental effects linked to microplastics pollution on their valuation for the technology. We found that the information treatments increased consumers\uffe2\uff80\uff99 willingness to pay for them. Specifically, consumers\uffe2\uff80\uff99 willingness to pay for mussels with a 90% depuration efficiency certification is around US$ 4. The provision of health impact information increased the price premium by 56%, while the provision of environmental information increased it by 21%. Furthermore, combined health and environmental information significantly increased the probability of non-purchasing behavior by 22.8% and the risk perception of microplastics for human health by 5.8%. These results emphasize the critical role of information in shaping consumer preferences and provide evidence for validating investment in research and development related to microplastic pollution mitigation measures.</p", "keywords": ["Male", "11 Ciudades y comunidades sostenibles", "Economics", "Strategy and Management", "Microplastics", "Social Sciences", "Choice Behavior", "01 natural sciences", "Microplastics pollution", "Natural resource economics", "11. Sustainability", "11 Sustainable Cities and Communities", "Microeconomics", "Willingness to pay", "Business", "Chile", "Environmental resource management", "Marketing", "2. Zero hunger", "12 Producci\u00f3n y consumo responsable", "Ecology", "Middle Aged", "Microplastic Pollution in Marine and Terrestrial Environments", "Pollution", "Management", "3. Good health", "Economics", " Econometrics and Finance", "Mitigation technology", "Environmental health", "14 Vida submarina", "Physical Sciences", "Medicine", "Female", "Information treatment", "12 Responsible Consumption and Production", "Adult", "06 Clean Water and Sanitation", "Economics and Econometrics", "Certification", "06 Agua limpia y saneamiento", "330", "Environmental economics", "Discrete Choice Models in Economics and Health Care", "Food Contamination", "Business", " Management and Accounting", "12. Responsible consumption", "FOS: Economics and business", "Young Adult", "Humans", "Animals", "Conceptualizing the Circular Economy and Sustainable Supply Chains", "14. Life underwater", "Discrete Choice Experiment", "Biology", "0105 earth and related environmental sciences", "9. Industry and infrastructure", "Human health", "Valuation (finance)", "Consumer Behavior", "14 Life Below Water", "Purchasing", "Bivalvia", "Seafood", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Water Pollutants", " Chemical", "Finance"]}, "links": [{"href": "https://doi.org/38763635"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Food%20Research%20International", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "38763635", "name": "item", "description": "38763635", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/38763635"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-05T00:00:00Z"}}, {"id": "oai:HAL:hal-03631358v2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:31:35Z", "type": "Report", "title": "Soil carbon, the blind spot of European national greenhouse gas inventories", "description": "Soil carbon is currently being monitored in European national greenhouse-gas (GHG) inventories. Reviewing the data and methods, we find that unreported losses could be around 70 MtCO2 yr\u20131 in croplands, and unreported gains could be around 15 MtCO2 yr\u20131 in grasslands and 45 MtCO2 yr\u20131 in forests. The share of European Union (EU) forest area for which soil carbon is being accurately reported is at most 33%, and more likely close to 24%. Accuracy is even worse for grasslands and croplands. Widespread adoption of key carbon-farming practices (peatland restoration, agroforestry, substituting maize with grass) could remove an additional 150\u2013350 MtCO2 yr\u20131. Yet, if effective policies lead to realizing this potential, current GHG inventories would not capture their climate mitigation benefits.", "keywords": ["transparency", "monitoring", "national greenhouse gas inventories", "[SDE.ES] Environmental Sciences/Environment and Society", "soil carbon", "[SDE.ES]Environmental Sciences/Environment and Society", "[SHS.ECO]Humanities and Social Sciences/Economics and Finance", "[SHS.ECO] Humanities and Social Sciences/Economics and Finance"], "contacts": [{"organization": "Bellassen, Valentin, Angers, Denis, Kowalczewski, Tomasz, Olesen, Asger,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:HAL:hal-03631358v2"}, {"rel": "self", "type": "application/geo+json", "title": "oai:HAL:hal-03631358v2", "name": "item", "description": "oai:HAL:hal-03631358v2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:HAL:hal-03631358v2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "366ba9484c74e46178fc2712484f9559", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:29:17Z", "type": "Journal Article", "created": "2024-04-04", "title": "Advancement of metal oxide nanomaterials on agri-food fronts", "description": "The application of metal oxide nanomaterials (MOx NMs) in the agrifood industry offers innovative solutions that can facilitate a paradigm shift in a sector that is currently facing challenges in meeting the growing requirements for food production, while safeguarding the environment from the impacts of current agriculture practices. This review comprehensively illustrates recent advancements and applications of MOx for sustainable practices in the food and agricultural industries and environmental preservation. Relevant published data point out that MOx NMs can be tailored for specific properties, enabling advanced design concepts with improved features for various applications in the agrifood industry. Applications include nano-agrochemical formulation, control of food quality through nanosensors, and smart food packaging. Furthermore, recent research suggests MOx's vital role in addressing environmental challenges by removing toxic elements from contaminated soil and water. This mitigates the environmental effects of widespread agrichemical use and creates a more favorable environment for plant growth. The review also discusses potential barriers, particularly regarding MOx toxicity and risk evaluation. Fundamental concerns about possible adverse effects on human health and the environment must be addressed to establish an appropriate regulatory framework for nano metal oxide-based food and agricultural products.", "keywords": ["FOS: Computer and information sciences", "2. Zero hunger", "Food Packaging", "Metal Nanoparticles", "Oxides", "Agriculture", "02 engineering and technology", "01 natural sciences", "Nanostructures", "12. Responsible consumption", "0104 chemical sciences", "Computational Engineering", " Finance", " and Science (cs.CE)", "Metals", "13. Climate action", "Computer Science - Computational Engineering", " Finance", " and Science", "0210 nano-technology"]}, "links": [{"href": "https://doi.org/http://arxiv.org/abs/2407.19776"}, {"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": "366ba9484c74e46178fc2712484f9559", "name": "item", "description": "366ba9484c74e46178fc2712484f9559", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/366ba9484c74e46178fc2712484f9559"}, {"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"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Finance&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=Finance&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=Finance&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Finance&offset=24", "hreflang": "en-US"}], "numberMatched": 24, "numberReturned": 24, "distributedFeatures": [], "timeStamp": "2026-05-25T12:58:38.541702Z"}