{"type": "FeatureCollection", "features": [{"id": "10.1016/j.geoderma.2017.10.020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:17:06Z", "type": "Journal Article", "created": "2017-11-06", "title": "Characterising and linking X-ray CT derived macroporosity parameters to infiltration in soils with contrasting structures", "description": "<p>Soils deliver the regulating ecosystem services of water infiltration and distribution, which can be controlled by macropores. Parameterizing macropore hydraulic properties is challenging due to the lack of direct measurement methods. With tension-disc infiltrometry hydraulic properties near saturation can be measured. Differentiating between hydrologically active and non-active pores, at a given water potential, indirectly assesses macropore continuity. Water flow through macropores is controlled by macropore size distribution, tortuosity, and connectivity, which can be directly derived by X-ray computed tomography (CT). Our objective was to parameterize macropore hydraulic properties based on the imaged macropore network of three horizons of an Andosol and a Gleysol. Hydraulic conductivity K <sub>unsat</sub> was derived from infiltration measurements. Soil cores from the infiltration areas were scanned with X-ray CT. K <sub>unsat</sub> was significantly higher in the Andosol than in the Gleysol at all water potentials, and decreased significantly with depth in both soils. The in situ measurements guided the definition of new macroporosity parameters from the X-ray CT reconstructions. For the Andosol, K <sub>unsat</sub> was best predicted using the imaged-limited macroporosity. A low total macroporosity, coupled with a high macropore density, indicated the abundance of smaller macropores, leading to homogeneous matrix flux. Imaged macropores were not well connected. In contrast, the Gleysol had a bi-modal macropore system with few very large, but well-connected macropores. K <sub>unsat</sub> was best predicted using the imaged macroporosity consisting only of macropores with diameters between 0.75 and 3 mm. Our research demonstrates that linking traditional soil physical measurements with soil-visualization techniques has a huge potential to improve parameterizing macropore hydraulic properties. The relevance of the relationships found in this study for larger scales and other soil types still needs to be tested, for example by a multi-scale investigation including a much wider range of different soils. </p>", "keywords": ["[SDE] Environmental Sciences", "Hydraulic parameters", "0207 environmental engineering", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "6. Clean water", "Image analysis", "Tension disc in\ufb01ltrometr", "Tension disc infiltrometry", "Pore network", "13. Climate action", "Soil structure", "[SDE.ES] Environmental Sciences/Environment and Society", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2017.10.020"}, {"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.2017.10.020", "name": "item", "description": "10.1016/j.geoderma.2017.10.020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2017.10.020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-01T00:00:00Z"}}, {"id": "10.1016/j.jaap.2018.07.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:17:10Z", "type": "Journal Article", "created": "2018-07-20", "title": "Effects of pyrolysis temperature on the hydrologically relevant porosity of willow biochar", "description": "Open AccessBiochar pore space consists of porosity of multiple length scales. In direct water holding applications like water storage for plant water uptake, the main interest is in micrometre-range porosity since these pores are able to store water that is easily available for plants. Gas adsorption measurements which are commonly used to characterize the physical pore structure of biochars are not able to quantify this pore-size range. While pyrogenetic porosity (i.e. pores formed during pyrolysis process) tends to increase with elevated process temperature, it is uncertain whether this change affects the pore space capable to store plant available water. In this study, we characterized biochar porosity with x-ray tomography which provides quantitative information on the micrometer-range porosity. We imaged willow dried at 60 $^ circ$C and biochar samples pyrolysed in three different temperatures (peak temperatures 308, 384, 489 $^ circ$C, heating rate 2 $^ circ$C min$^{-1}$). Samples were carefully prepared and traced through the experiments, which allowed investigation of porosity development in micrometre size range. Pore space was quantified with image analysis of x-ray tomography images and, in addition, nanoscale porosity was examined with helium ion microscopy. The image analysis results show that initial pore structure of the raw material determines the properties of micrometre-range porosity in the studied temperature range. Thus, considering the pore-size regime relevant to the storage of plant available water, pyrolysis temperature in the studied range does not provide means to optimize the biochar structure. However, these findings do not rule out that process temperature may affect the water retention properties of biochars by modifying the chemical properties of the pore surfaces.", "keywords": ["Fysiikka", "porosity", "FOS: Physical sciences", "Applied Physics (physics.app-ph)", "kuivatislaus", "01 natural sciences", "huokoisuus", "image analysis", "biochar", "ta216", "ta218", "0105 earth and related environmental sciences", "x-ray tomography", "biohiili", "Condensed Matter - Materials Science", "ta114", "Physics", "ta1182", "Materials Science (cond-mat.mtrl-sci)", "Physics - Applied Physics", "04 agricultural and veterinary sciences", "slow pyrolysis", "6. Clean water", "kuvantaminen", "kuva-analyysi", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.jaap.2018.07.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Analytical%20and%20Applied%20Pyrolysis", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jaap.2018.07.011", "name": "item", "description": "10.1016/j.jaap.2018.07.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jaap.2018.07.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-01T00:00:00Z"}}, {"id": "10.1007/s11104-021-05010-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:15:51Z", "type": "Journal Article", "created": "2021-07-07", "title": "Root anatomy and soil resource capture", "description": "Abstract                 Background                 <p>Suboptimal water and nutrient availability are primary constraints in global agriculture. Root anatomy plays key roles in soil resource acquisition. In this article we summarize evidence that root anatomical phenotypes present opportunities for crop breeding.</p>                                Scope                 <p>Root anatomical phenotypes influence soil resource acquisition by regulating the metabolic cost of soil exploration, exploitation of the rhizosphere, the penetration of hard soil domains, the axial and radial transport of water, and interactions with soil biota including mycorrhizal fungi, pathogens, insects, and the rhizosphere microbiome. For each of these topics we provide examples of anatomical phenotypes which merit attention as selection targets for crop improvement. Several cross-cutting issues are addressed including the importance of phenotypic plasticity, integrated phenotypes, C sequestration, in silico modeling, and novel methods to phenotype root anatomy including image analysis tools.</p>                                Conclusions                 <p>An array of anatomical phenes have substantial importance for the acquisition of water and nutrients. Substantial phenotypic variation exists in crop germplasm. New tools and methods are making it easier to phenotype root anatomy, determine its genetic control, and understand its utility for plant fitness. Root anatomical phenotypes are underutilized yet attractive breeding targets for the development of the efficient, resilient crops urgently needed in global agriculture.</p>", "keywords": ["Carbon sequestration", "0106 biological sciences", "0301 basic medicine", "2. Zero hunger", "Root; Anatomy; Water; Nutrients; Transport; Insects; Pathogens; Mycorrhiza; Carbon sequestration; Modeling; Image analysis; Plasticity", "Plasticity", "Modeling", "Water", "Transport", "Nutrients", "15. Life on land", "01 natural sciences", "Image analysis", "Insects", "03 medical and health sciences", "Root", "Anatomy", "Pathogens", "Mycorrhiza"]}, "links": [{"href": "https://doi.org/10.1007/s11104-021-05010-y"}, {"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/s11104-021-05010-y", "name": "item", "description": "10.1007/s11104-021-05010-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-021-05010-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "10.1007/s11242-015-0572-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:15:52Z", "type": "Journal Article", "created": "2015-09-14", "title": "Visualization and Characterization of Heterogeneous Water Flow in Double-Porosity Media by Means of X-ray Computed Tomography", "description": "Three-dimensional visualization of dynamic water transport process in soil by 1 computed tomography (CT) technique is still limited by its low temporal resolution. In order 2 to monitor dynamically water transport in soil, a compromise has to be found between water 3 flow velocity and CT acquisition time. Furthermore, an efficient image analysis method is 1 4 necessary. In this work, we followed the water transport in three dimensions by CT imaging 5 across a double-porosity media constituted of two distinct materials, i.e. sand and porous 6 clay spheres. The CT acquisition parameters were adjusted to the water pore velocity so that 7 we succeeded to register the water front displacement per time range of 25 min. We also used 8 the image subtraction method to extract water distribution evolution with time with a space 9 resolution of 6 \u00d7 10 \u22123 cm. Both time and space resolution are relatively high compared with 10 other dynamic studies. The water content profiles showed that the clay spheres remained 11 in their dry state during water infiltration, while the water transport only occurred in the 12 sand matrix. These results are consistent with macroscopic experiments. The water front 13 visualized by CT showed a non-symmetrical shape which was related to water transfer in 14 non-equilibrium as shown by column displacement experiments.", "keywords": ["2. Zero hunger", "550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0208 environmental biotechnology", "Porous media", "0207 environmental engineering", "02 engineering and technology", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "6. Clean water", "620", "Image analysis", "3D visualization", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Computed tomography", "Water transport"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s11242-015-0572-z"}, {"href": "https://doi.org/10.1007/s11242-015-0572-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Transport%20in%20Porous%20Media", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11242-015-0572-z", "name": "item", "description": "10.1007/s11242-015-0572-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11242-015-0572-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-09-14T00:00:00Z"}}, {"id": "10.1007/s11356-017-8823-x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:15:54Z", "type": "Journal Article", "created": "2017-03-24", "title": "Quantitative characterization of pore structure of several biochars with 3D imaging", "description": "Open Access16 pages, 4 figures. The final publication is available at Springer via http://dx.doi.org/10.1007/s11356-017-8823-x", "keywords": ["x-ray tomography", "Condensed Matter - Materials Science", "soil amendment", "pore structure", "ta1171", "ta1182", "Water", "Materials Science (cond-mat.mtrl-sci)", "FOS: Physical sciences", "04 agricultural and veterinary sciences", "01 natural sciences", "6. Clean water", "Diffusion", "Imaging", " Three-Dimensional", "image analysis", "Charcoal", "Image Processing", " Computer-Assisted", "0401 agriculture", " forestry", " and fisheries", "biochar", "Porosity", "soil amendments", "ta218", "water retention", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s11356-017-8823-x.pdf"}, {"href": "https://doi.org/10.1007/s11356-017-8823-x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20and%20Pollution%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11356-017-8823-x", "name": "item", "description": "10.1007/s11356-017-8823-x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11356-017-8823-x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-24T00:00:00Z"}}, {"id": "10.1016/j.biombioe.2018.10.004", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:16:29Z", "type": "Journal Article", "created": "2018-10-11", "title": "How and why does willow biochar increase a clay soil water retention capacity?", "description": "Abstract   Addition of biochar into a soil changes its water retention properties by modifying soil textural and structural properties. In addition, internal micrometer-scale porosity that is able to directly store readily plant available water affects soil water retention properties. This study shows how precise knowledge of the internal micrometer-scale pore size distribution of biochar can deepen the understanding of the biochar-water interactions in soils. The micrometer-scale porosity of willow biochar was quantitatively and qualitatively characterized using X-ray tomography, 3D image analysis and Helium ion microscopy. The effect of biochar application on clay soil water retention was studied by conventional water retention curve approach. The results indicate that the internal pores of biochar, with sizes of at 50 and 10\u202f\u03bcm (equivalent pore diameter), increased soil porosity and the amount of readily plant available water. After biochar addition, changes in soil porosity were detected at pore size regimes 5\u201310 and 25\u202f\u03bcm, i.e. biochar pore sizes multiplied by factor 0.5. The detected pore size distribution of biochar does not predict directly (1:1 compatibility) the changes observed in the soil moisture characteristics. It is likely that biochar chemistry and pore morphology affect biochar-water interactions via e.g. surface roughness and contact angle. In addition, biochar induced changes in soil structure and texture affected soil moisture characteristics. However, the approach presented is an attractive pathway to more generalized understanding on how and why biochar internal porosity affects soil moisture characteristics.", "keywords": ["570", "Fysiikka", "ta1171", "mikroskopia", "savi", "01 natural sciences", "630", "huokoisuus", "soil water retention", "tomografia", "219", "3D image analysis", "biochar", "3D-mallinnus", "ta216", "ta218", "219 Environmental biotechnology", "0105 earth and related environmental sciences", "x-ray tomography", "biohiili", "maaper\u00e4", "ta114", "Physics", "ta1182", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "mikrorakenteet", "plant available water", "helium ion microscopy", "0401 agriculture", " forestry", " and fisheries", "vesipitoisuus", "X-ray tomography"]}, "links": [{"href": "https://doi.org/10.1016/j.biombioe.2018.10.004"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biomass%20and%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biombioe.2018.10.004", "name": "item", "description": "10.1016/j.biombioe.2018.10.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biombioe.2018.10.004"}, {"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.jcs.2019.102829", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:17:13Z", "type": "Journal Article", "created": "2019-09-06", "title": "Morpho-densitometric traits for quinoa (Chenopodium quinoa Willd.) seed phenotyping by two X-ray micro-CT scanning approaches", "description": "Recent studies are increasingly focusing on quinoa (Chenopodium quinoa) as a high-quality protein-rich food source and, in general, on seed quality. This latter is a complex trait difficult to characterize with standard measurements or analyses. X-ray micro-CT allows to visualise the internal structure of small objects and has been already used in seed research, mostly for maize kernel characterization. To date this technique has not yet been applied to study quinoa seeds, despite the increasing interest for their nutritional properties. The aim of this work was to explore the use of X-ray microtomography to provide new traits improving the seed phenotyping of quinoa. Two different scanning approaches have been compared: one based on the simultaneous scanning of multiple seeds (30) at lower resolution (20 ?m voxel size) and one based on the scanning of a single seed at higher resolution (2 ?m voxel size). Such approaches were tested on a study case consisting of four different quinoa genotypes. Among the measured morpho-densitometric parameters, the embryo volume and weight ratios (derived from bulk and single seed scanning, respectively) showed high positive correlation with the total protein content, while the thickest fraction of the pericarp was the best correlated with the presence of saponins.", "keywords": ["Fitomejoramiento", "2. Zero hunger", "0301 basic medicine", "0303 health sciences", "Evaluaci\u00f3n", "Rayos-X", "Seed quality", "Semillas", "Variaci\u00f3n gen\u00e9tica", "Quinua", "Per\u00fa", "03 medical and health sciences", "https://purl.org/pe-repo/ocde/ford#2.11.01", "Quinoa", "Radiaci\u00f3n", "3D image analysis", "X-ray micro-CT", "Chenopodium quinoa", "Fenotipos"]}, "links": [{"href": "https://iris.cnr.it/bitstream/20.500.14243/386031/1/prod_406462-doc_142170.pdf"}, {"href": "https://iris.cnr.it/bitstream/20.500.14243/386031/2/prod_406462-doc_142171.pdf"}, {"href": "https://iris.cnr.it/bitstream/20.500.14243/386031/4/prod_406462-doc_147996.pdf"}, {"href": "https://doi.org/10.1016/j.jcs.2019.102829"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cereal%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jcs.2019.102829", "name": "item", "description": "10.1016/j.jcs.2019.102829", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jcs.2019.102829"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-01T00:00:00Z"}}, {"id": "10261/259704", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:25:30Z", "type": "Journal Article", "created": "2022-01-18", "title": "Lessons from a landmark 1991 article on soil structure: distinct precedence of non-destructive assessment and benefits of fresh perspectives in soil research", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In 1991, at the launch of a national symposium devoted to soil structure, the Australian Society of Soil Science invited Professor John Letey to deliver a keynote address, which was later published in the society\u2019s journal. In his lecture, he shared the outcome of his reflexion about what the assessment of soil structure should amount to, in order to produce useful insight into the functioning of soils. His viewpoint was that the focus should be put on the openings present in the structure, rather than on the chunks of material resulting from its mechanical dismantlement. In the present article, we provide some historical background for Letey\u2019s analysis, and try to explain why it took a number of years for the paradigm shift that he advocated to begin to occur. Over the last decade, his perspective that soil structure needs to be characterised via non-destructive methods appears to have gained significant momentum, which is likely to increase further in the near future, as we take advantage of recent technological advances. Other valuable lessons that one can derive from Letey\u2019s pioneering article relate to the extreme value for everyone, even neophytes, to constantly ask questions about where research on given topics is heading, what its goals are, and whether the methods that are used at a certain time are optimal.</p></article>", "keywords": ["570", "soil image analysis", "soil microorganisms", "[SDE.MCG]Environmental Sciences/Global Changes", "Soil measuring", "earthworms", "micromorphology", "Aggregate stability", "Soil functions", "01 natural sciences", "630", "Soil fauna", "soil organic matter", "Earthworms", "Micromorphology", "Computed tomography", "aggregate stability", "0105 earth and related environmental sciences", "soil measuring", "2. Zero hunger", "Soil organic matter", "computed tomography", "04 agricultural and veterinary sciences", "soil functions", "15. Life on land", "[SDE.MCG] Environmental Sciences/Global Changes", "Soil image analysis", "0401 agriculture", " forestry", " and fisheries", "soil fauna", "earthworms; micromorphology", "Soil microorganisms"]}, "links": [{"href": "https://doi.org/10261/259704"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/259704", "name": "item", "description": "10261/259704", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/259704"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-19T00:00:00Z"}}, {"id": "10.1111/sum.12049", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:19:46Z", "type": "Journal Article", "created": "2013-05-06", "title": "Response Of Soil Structure And Hydraulic Conductivity To Reduced Tillage And Animal Manure In A Temperate Loamy Soil", "description": "Abstract<p>We studied the combined effects of reduced tillage and animal manure on soil structure and hydraulic conductivity (K) in the 2\uffe2\uff80\uff9310 and 12\uffe2\uff80\uff9320\uffc2\uffa0cm layers in a loamy soil. The study was performed at the end of a 7\uffe2\uff80\uff90yr field trial and included three tillage treatments (mouldboard ploughing until 25\uffc2\uffa0cm depth: MP, shallow tillage until 12\uffc2\uffa0cm depth: ST, no\uffe2\uff80\uff90till: NT) and two fertilizer application treatments (mineral or poultry manure). Soil structure was assessed through bulk density (\uffcf\uff81b), micromorphological and macropore\uffe2\uff80\uff90space characteristics. K was measured in situ at \uffe2\uff88\uff920.6, \uffe2\uff88\uff920.2 and \uffe2\uff88\uff920.05\uffc2\uffa0kPa. Untilled layers had a vermicular microstructure resulting from earthworm activity, whereas tilled layers displayed a mixture of crumb and channel microstructures. Untilled layers had the highest \uffcf\uff81b and twice as much lower total macroporosity area (pores\uffc2\uffa0&gt;\uffc2\uffa0240\uffc2\uffa0\uffce\uffbcm in equivalent diameter) than tilled layers, reflected by the smallest area of macropores 310\uffe2\uff80\uff932000\uffc2\uffa0\uffce\uffbcm in diameter and the smallest area of large complex macropores. K under untilled layers was 12\uffe2\uff80\uff9362% lower than that under tilled layers, but differences were statistically significant only at \uffe2\uff88\uff920.05\uffc2\uffa0kPa in the 2\uffe2\uff80\uff9310\uffc2\uffa0cm. No significant interaction between tillage and nutrient application treatments was detected for all properties. Compared with mineral fertilizer, poultry manure resulted in a similar \uffcf\uff81b but 20% greater total macroporosity area and 30% higher K at \uffe2\uff88\uff920.2\uffc2\uffa0kPa. Overall, the sensitivity of soil structure and K to poultry manure were relatively small compared with tillage. We suggest that cultivation practices other than animal manure application are needed to improve physical properties under reduced tillage.</p>", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "macroporosity", "[SDV]Life Sciences [q-bio]", "organic fertilization", "No-tillage", "600", "04 agricultural and veterinary sciences", "micromorphology", "15. Life on land", "630", "6. Clean water", "[SDV] Life Sciences [q-bio]", "image analysis", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1111/sum.12049"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Use%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/sum.12049", "name": "item", "description": "10.1111/sum.12049", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/sum.12049"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-05-06T00:00:00Z"}}, {"id": "10.1071/sr21268", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:18:43Z", "type": "Journal Article", "created": "2022-01-18", "title": "Lessons from a landmark 1991 article on soil structure: distinct precedence of non-destructive assessment and benefits of fresh perspectives in soil research", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>In 1991, at the launch of a national symposium devoted to soil structure, the Australian Society of Soil Science invited Professor John Letey to deliver a keynote address, which was later published in the society\u2019s journal. In his lecture, he shared the outcome of his reflexion about what the assessment of soil structure should amount to, in order to produce useful insight into the functioning of soils. His viewpoint was that the focus should be put on the openings present in the structure, rather than on the chunks of material resulting from its mechanical dismantlement. In the present article, we provide some historical background for Letey\u2019s analysis, and try to explain why it took a number of years for the paradigm shift that he advocated to begin to occur. Over the last decade, his perspective that soil structure needs to be characterised via non-destructive methods appears to have gained significant momentum, which is likely to increase further in the near future, as we take advantage of recent technological advances. Other valuable lessons that one can derive from Letey\u2019s pioneering article relate to the extreme value for everyone, even neophytes, to constantly ask questions about where research on given topics is heading, what its goals are, and whether the methods that are used at a certain time are optimal.</p></article>", "keywords": ["570", "soil image analysis", "soil microorganisms", "[SDE.MCG]Environmental Sciences/Global Changes", "Soil measuring", "earthworms", "micromorphology", "Aggregate stability", "Soil functions", "01 natural sciences", "630", "Soil fauna", "soil organic matter", "Earthworms", "Micromorphology", "Computed tomography", "aggregate stability", "0105 earth and related environmental sciences", "soil measuring", "2. Zero hunger", "Soil organic matter", "computed tomography", "04 agricultural and veterinary sciences", "soil functions", "15. Life on land", "[SDE.MCG] Environmental Sciences/Global Changes", "Soil image analysis", "0401 agriculture", " forestry", " and fisheries", "soil fauna", "earthworms; micromorphology", "Soil microorganisms"]}, "links": [{"href": "https://doi.org/10.1071/sr21268"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1071/sr21268", "name": "item", "description": "10.1071/sr21268", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1071/sr21268"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-19T00:00:00Z"}}, {"id": "10.1186/s43591-025-00112-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:20:00Z", "type": "Journal Article", "created": "2025-03-02", "title": "Tracks of travel: unveiling tire particle concentrations in Swiss cantonal road soils", "description": "Abstract           <p>Tire wear particles (TWP) originating from tire abrasion on roads are a major source of microplastics to the environment. Together with associated pollutants like polycyclic aromatic hydrocarbons and trace metals, TWP are emitted to roadside soils in the immediate vicinity of road networks. Our study aimed at quantifying TWP number and mass concentrations and investigating particle features in low-traffic roadside soils using a novel particle-based analytical approach. On the example of fifteen Swiss cantonal roadside soils, with average daily traffic volumes of 2,290 vehicles per day\uffe2\uff88\uff92\uffe2\uff80\uff891, we sampled composite samples from distances of 1, 2, 5 and 10\uffc2\uffa0m to the roadside. TWP were extracted via density separation and wet-chemical sample purification. TWP analysis was performed using microscope images and trainable Weka segmentation image analysis. Furthermore, associated road pollutants like polycyclic aromatic hydrocarbons, benzop[a]pyrene and trace metals were analysed using TQ GC-MS/MS and ICP-MS. We found average concentrations of 111,000 TWP per kg soil dry weight (TWP kg\uffe2\uff88\uff92\uffe2\uff80\uff891) highest values reaching 615,000 TWP kg\uffe2\uff88\uff92\uffe2\uff80\uff891 and mean TWP masses of 52.7\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff8983.2\uffc2\uffa0mg TWP kg\uffe2\uff88\uff92\uffe2\uff80\uff891. TWP had a minimal Feret diameter of 62.8\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff8945.6\uffc2\uffa0\uffce\uffbcm on average and showed mean circularity values of 0.7\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff890.2, resulting in elliptic particle morphology. TWP concentrations and sizes decreased with increasing distance from the road. Positive relationships were found between TWP numbers and polycyclic aromatic hydrocarbons, benzop[a]pyrene and zinc concentrations in roadside soils. However, a moderate relationship to speed limits was identified. We were able to demonstrate that even in low-traffic areas, roadside soils act as an environmental sink for high concentrations of TWPs and associated pollutants and that spatial distribution and the spread of TWP to soils strongly dependent on the distance to the road.</p", "keywords": ["TP1080-1185", "Trace metals", "TD172-193.5", "Tire wear particles", "Organic compounds", "Traffic", "Polymers and polymer manufacture", "Environmental pollution", "Image analysis"], "contacts": [{"organization": "Dominika Kundel, Andrea Wiget, Andreas Fliessbach, Moritz Bigalke, Collin J. Weber,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1186/s43591-025-00112-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microplastics%20and%20Nanoplastics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s43591-025-00112-1", "name": "item", "description": "10.1186/s43591-025-00112-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s43591-025-00112-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-03T00:00:00Z"}}, {"id": "10.3389/fenvs.2018.00061", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:23Z", "type": "Journal Article", "created": "2018-07-10", "title": "Recognizing Patterns: Spatial Analysis of Observed Microbial Colonization on Root Surfaces", "description": "Root surfaces are major sites of interactions between plants and associated microorganisms. Here, plants and microbes communicate via signaling molecules, compete for nutrients, and release substrates that may have beneficial or harmful effects on each other. Whilst the body of knowledge on the abundance and diversity of microbial communities at root-soil interfaces is now substantial, information on their spatial distribution at the microscale is still scarce. In this study, a standardized method for recognizing and analyzing microbial cell distributions on root surfaces is presented. Fluorescence microscopy was combined with automated image analysis and spatial statistics to explore the distribution of bacterial colonization patterns on rhizoplanes of rice roots. To test and evaluate the presented approach, a gnotobiotic experiment was performed using a potential nitrogen-fixing bacterial strain in combination with roots of wetland rice. The automated analysis procedure resulted in reliable spatial data of bacterial cells colonizing the rhizoplane. Among all replicate roots, the analysis revealed an increasing density of bacterial cells from the root tip to the region of root cell maturation. Moreover, bacterial cells showed significant spatial clustering and tended to be located around plant root cell borders. The quantitative data suggest that the structure of the root surface plays a major role in bacterial colonization patterns. Possible adaptations of the presented approach for future studies are discussed along with potential pitfalls such as inaccurate imaging. Our results demonstrate that standardized recognition and statistical evaluation of microbial colonization on root surfaces holds the potential to increase our understanding of microbial associations with roots and of the underlying ecological interactions.", "keywords": ["[SDE] Environmental Sciences", "0301 basic medicine", "570", "bacterial colonization", "[SDV]Life Sciences [q-bio]", "CATALYZED REPORTER DEPOSITION", "microbial ecology;root surface;bacterial colonization;point process;spatial statistics;image analysis;pattern recognition;wetland rice", "ECOLOGY", "microbial ecology", "Image analysis", "spatial statistics", "Microbial ecology", "03 medical and health sciences", "image analysis", "Pattern recognition", "root surface", "GE1-350", "Point process", "Wetland rice", "point process", "2. Zero hunger", "106022 Mikrobiologie", "0303 health sciences", "Spatial statistics", "IDENTIFICATION", "pattern recognition", "IN-SITU HYBRIDIZATION", "15. Life on land", "Bacterial colonization", "[SDV] Life Sciences [q-bio]", "SOIL", "Environmental sciences", "wetland rice", "Root surface", "[SDE]Environmental Sciences", "BACTERIA", "106022 Microbiology", "POPULATIONS", "COMMUNITIES"]}, "links": [{"href": "https://doi.org/10.3389/fenvs.2018.00061"}, {"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.2018.00061", "name": "item", "description": "10.3389/fenvs.2018.00061", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fenvs.2018.00061"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-10T00:00:00Z"}}, {"id": "10.15201/hungeobull.69.3.4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:20:16Z", "type": "Journal Article", "created": "2020-10-02", "title": "Crop growth, carbon sequestration and soil erosion in an organic vineyard of the Vill\u00e1ny Wine District, Southwest Hungary", "description": "<p>A more resilient adaptation to changing climate calls for crop diversification in vineyards, too. As a contribution to the H2020 collaborative project of the European Union, called Diverfarming, and part of the agroecological experiments during 2018 and 2019, grapevine biomass growth was monitored in connection with carbon storage types in soil and in the deposits removed by soil erosion. Phenometry was carried out interpreting segmented images to follow changes in biomass. It was found that crop growth could be best described by the Richards growth function. The distinction between grapevine and intercrop growth, however, requires further refinement in image analysis. In the laboratory TOC and Ntotal were measured for both the soil and the plant organs as well as for the eroded sediments. Greenhouse gas emissions and photosynthesis were monitored. Looking at the change of Leaf Area Index (LAI) over the growing period, image analysis pointed out the role of cut shoots from pruning in the C and N cycles. Maximum leaf area (at ripening) for guyot cultivation technique was extimated at 7,840 m2 ha-1. Soil loss by erosion was established by sediment traps at the end of vinestock rows. The grain size distribution analysis led to the remarkable result that as erosion proceeded, the ratio of the sand fraction increased but remained within the range for the textural class of loam. Organic matter contents grew to 38 g kg-1. The rate of soil erosion is higher in ploughed than in grassed interrows by orders of magnitude.</p>", "keywords": ["2. Zero hunger", "Geography (General)", "soil erosion", "leaf area index", "biomass", "Leaf Area Index", "04 agricultural and veterinary sciences", "15. Life on land", "C/N ratio", "carbon sequestration", "crop diversification", "image analysis", "13. Climate action", "G1-922", "0401 agriculture", " forestry", " and fisheries", "phenometry", "c/n ratio", "organic vineyard"]}, "links": [{"href": "https://doi.org/10.15201/hungeobull.69.3.4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hungarian%20Geographical%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15201/hungeobull.69.3.4", "name": "item", "description": "10.15201/hungeobull.69.3.4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15201/hungeobull.69.3.4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-02T00:00:00Z"}}, {"id": "10.3390/rs13163272", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:21:45Z", "type": "Journal Article", "created": "2021-08-19", "title": "UAV-Based Land Cover Classification for Hoverfly (Diptera: Syrphidae) Habitat Condition Assessment: A Case Study on Mt. Stara Planina (Serbia)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Habitat degradation, mostly caused by human impact, is one of the key drivers of biodiversity loss. This is a global problem, causing a decline in the number of pollinators, such as hoverflies. In the process of digitalizing ecological studies in Serbia, remote-sensing-based land cover classification has become a key component for both current and future research. Object-based land cover classification, using machine learning algorithms of very high resolution (VHR) imagery acquired by an unmanned aerial vehicle (UAV) was carried out in three different study sites on Mt. Stara Planina, Eastern Serbia. UAV land cover classified maps with seven land cover classes (trees, shrubs, meadows, road, water, agricultural land, and forest patches) were studied. Moreover, three different classification algorithms\u2014support vector machine (SVM), random forest (RF), and k-NN (k-nearest neighbors)\u2014were compared. This study shows that the random forest classifier performs better with respect to the other classifiers in all three study sites, with overall accuracy values ranging from 0.87 to 0.96. The overall results are robust to changes in labeling ground truth subsets. The obtained UAV land cover classified maps were compared with the Map of the Natural Vegetation of Europe (EPNV) and used to quantify habitat degradation and assess hoverfly species richness. It was concluded that the percentage of habitat degradation is primarily caused by anthropogenic pressure, thus affecting the richness of hoverfly species in the study sites. In order to enable research reproducibility, the datasets used in this study are made available in a public repository.</p></article>", "keywords": ["<i>Map of the Natural Vegetation of Europe</i>", "Orfeo ToolBox", "unmanned aerial vehicle; object-based image analysis; Orfeo ToolBox; QGIS; random forest; hoverfly; Map of the Natural Vegetation of Europe", "Science", "Q", "0211 other engineering and technologies", "Unmanned aerial vehicle", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Object-based image analysis", "Map of the Natural Vegetation of Europe", "13. Climate action", "unmanned aerial vehicle;\u00a0object-based image analysis;\u00a0Orfeo ToolBox;\u00a0QGIS;\u00a0random forest;\u00a0hoverfly;\u00a0Map of the Natural Vegetation of Europe", "unmanned aerial vehicle", "object-based image analysis", "Hoverfly", "QGIS", "random forest", "Random forest", "hoverfly", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/16/3272/pdf"}, {"href": "https://doi.org/10.3390/rs13163272"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13163272", "name": "item", "description": "10.3390/rs13163272", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13163272"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-18T00:00:00Z"}}, {"id": "10.5281/zenodo.5770286", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:24:17Z", "type": "Journal Article", "created": "2021-08-18", "title": "UAV-Based Land Cover Classification for Hoverfly (Diptera: Syrphidae) Habitat Condition Assessment: A Case Study on Mt. Stara Planina (Serbia)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Habitat degradation, mostly caused by human impact, is one of the key drivers of biodiversity loss. This is a global problem, causing a decline in the number of pollinators, such as hoverflies. In the process of digitalizing ecological studies in Serbia, remote-sensing-based land cover classification has become a key component for both current and future research. Object-based land cover classification, using machine learning algorithms of very high resolution (VHR) imagery acquired by an unmanned aerial vehicle (UAV) was carried out in three different study sites on Mt. Stara Planina, Eastern Serbia. UAV land cover classified maps with seven land cover classes (trees, shrubs, meadows, road, water, agricultural land, and forest patches) were studied. Moreover, three different classification algorithms\u2014support vector machine (SVM), random forest (RF), and k-NN (k-nearest neighbors)\u2014were compared. This study shows that the random forest classifier performs better with respect to the other classifiers in all three study sites, with overall accuracy values ranging from 0.87 to 0.96. The overall results are robust to changes in labeling ground truth subsets. The obtained UAV land cover classified maps were compared with the Map of the Natural Vegetation of Europe (EPNV) and used to quantify habitat degradation and assess hoverfly species richness. It was concluded that the percentage of habitat degradation is primarily caused by anthropogenic pressure, thus affecting the richness of hoverfly species in the study sites. In order to enable research reproducibility, the datasets used in this study are made available in a public repository.</p></article>", "keywords": ["<i>Map of the Natural Vegetation of Europe</i>", "Orfeo ToolBox", "unmanned aerial vehicle; object-based image analysis; Orfeo ToolBox; QGIS; random forest; hoverfly; Map of the Natural Vegetation of Europe", "Science", "Q", "0211 other engineering and technologies", "Unmanned aerial vehicle", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Object-based image analysis", "Map of the Natural Vegetation of Europe", "13. Climate action", "unmanned aerial vehicle", "object-based image analysis", "Hoverfly", "QGIS", "random forest", "Random forest", "hoverfly", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/16/3272/pdf"}, {"href": "https://doi.org/10.5281/zenodo.5770286"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5770286", "name": "item", "description": "10.5281/zenodo.5770286", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5770286"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-18T00:00:00Z"}}, {"id": "11353/10.1033200", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:25:50Z", "type": "Journal Article", "created": "2018-07-10", "title": "Recognizing Patterns: Spatial Analysis of Observed Microbial Colonization on Root Surfaces", "description": "Root surfaces are major sites of interactions between plants and associated microorganisms. Here, plants and microbes communicate via signaling molecules, compete for nutrients, and release substrates that may have beneficial or harmful effects on each other. Whilst the body of knowledge on the abundance and diversity of microbial communities at root-soil interfaces is now substantial, information on their spatial distribution at the microscale is still scarce. In this study, a standardized method for recognizing and analyzing microbial cell distributions on root surfaces is presented. Fluorescence microscopy was combined with automated image analysis and spatial statistics to explore the distribution of bacterial colonization patterns on rhizoplanes of rice roots. To test and evaluate the presented approach, a gnotobiotic experiment was performed using a potential nitrogen-fixing bacterial strain in combination with roots of wetland rice. The automated analysis procedure resulted in reliable spatial data of bacterial cells colonizing the rhizoplane. Among all replicate roots, the analysis revealed an increasing density of bacterial cells from the root tip to the region of root cell maturation. Moreover, bacterial cells showed significant spatial clustering and tended to be located around plant root cell borders. The quantitative data suggest that the structure of the root surface plays a major role in bacterial colonization patterns. Possible adaptations of the presented approach for future studies are discussed along with potential pitfalls such as inaccurate imaging. Our results demonstrate that standardized recognition and statistical evaluation of microbial colonization on root surfaces holds the potential to increase our understanding of microbial associations with roots and of the underlying ecological interactions.", "keywords": ["[SDE] Environmental Sciences", "0301 basic medicine", "570", "bacterial colonization", "[SDV]Life Sciences [q-bio]", "CATALYZED REPORTER DEPOSITION", "microbial ecology;root surface;bacterial colonization;point process;spatial statistics;image analysis;pattern recognition;wetland rice", "ECOLOGY", "microbial ecology", "Image analysis", "spatial statistics", "Microbial ecology", "03 medical and health sciences", "image analysis", "Pattern recognition", "root surface", "GE1-350", "Point process", "Wetland rice", "point process", "2. Zero hunger", "106022 Mikrobiologie", "0303 health sciences", "Spatial statistics", "IDENTIFICATION", "pattern recognition", "IN-SITU HYBRIDIZATION", "15. Life on land", "Bacterial colonization", "[SDV] Life Sciences [q-bio]", "SOIL", "Environmental sciences", "wetland rice", "Root surface", "[SDE]Environmental Sciences", "BACTERIA", "106022 Microbiology", "POPULATIONS", "COMMUNITIES"]}, "links": [{"href": "https://doi.org/11353/10.1033200"}, {"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": "11353/10.1033200", "name": "item", "description": "11353/10.1033200", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11353/10.1033200"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-10T00:00:00Z"}}, {"id": "1886144451", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:09Z", "type": "Journal Article", "created": "2015-09-14", "title": "Visualization and Characterization of Heterogeneous Water Flow in Double-Porosity Media by Means of X-ray Computed Tomography", "description": "Three-dimensional visualization of dynamic water transport process in soil by 1 computed tomography (CT) technique is still limited by its low temporal resolution. In order 2 to monitor dynamically water transport in soil, a compromise has to be found between water 3 flow velocity and CT acquisition time. Furthermore, an efficient image analysis method is 1 4 necessary. In this work, we followed the water transport in three dimensions by CT imaging 5 across a double-porosity media constituted of two distinct materials, i.e. sand and porous 6 clay spheres. The CT acquisition parameters were adjusted to the water pore velocity so that 7 we succeeded to register the water front displacement per time range of 25 min. We also used 8 the image subtraction method to extract water distribution evolution with time with a space 9 resolution of 6 \u00d7 10 \u22123 cm. Both time and space resolution are relatively high compared with 10 other dynamic studies. The water content profiles showed that the clay spheres remained 11 in their dry state during water infiltration, while the water transport only occurred in the 12 sand matrix. These results are consistent with macroscopic experiments. The water front 13 visualized by CT showed a non-symmetrical shape which was related to water transfer in 14 non-equilibrium as shown by column displacement experiments.", "keywords": ["2. Zero hunger", "550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0208 environmental biotechnology", "Porous media", "0207 environmental engineering", "02 engineering and technology", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "6. Clean water", "620", "Image analysis", "3D visualization", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Computed tomography", "Water transport"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s11242-015-0572-z"}, {"href": "https://doi.org/1886144451"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Transport%20in%20Porous%20Media", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1886144451", "name": "item", "description": "1886144451", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1886144451"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-09-14T00:00:00Z"}}, {"id": "20.500.11850/497409", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:20Z", "type": "Journal Article", "created": "2021-07-07", "title": "Root anatomy and soil resource capture", "description": "Abstract                 Background                 <p>Suboptimal water and nutrient availability are primary constraints in global agriculture. Root anatomy plays key roles in soil resource acquisition. In this article we summarize evidence that root anatomical phenotypes present opportunities for crop breeding.</p>                                Scope                 <p>Root anatomical phenotypes influence soil resource acquisition by regulating the metabolic cost of soil exploration, exploitation of the rhizosphere, the penetration of hard soil domains, the axial and radial transport of water, and interactions with soil biota including mycorrhizal fungi, pathogens, insects, and the rhizosphere microbiome. For each of these topics we provide examples of anatomical phenotypes which merit attention as selection targets for crop improvement. Several cross-cutting issues are addressed including the importance of phenotypic plasticity, integrated phenotypes, C sequestration, in silico modeling, and novel methods to phenotype root anatomy including image analysis tools.</p>                                Conclusions                 <p>An array of anatomical phenes have substantial importance for the acquisition of water and nutrients. Substantial phenotypic variation exists in crop germplasm. New tools and methods are making it easier to phenotype root anatomy, determine its genetic control, and understand its utility for plant fitness. Root anatomical phenotypes are underutilized yet attractive breeding targets for the development of the efficient, resilient crops urgently needed in global agriculture.</p>", "keywords": ["Carbon sequestration", "2. Zero hunger", "0106 biological sciences", "0301 basic medicine", "Root; Anatomy; Water; Nutrients; Transport; Insects; Pathogens; Mycorrhiza; Carbon sequestration; Modeling; Image analysis; Plasticity", "Plasticity", "Modeling", "Water", "Transport", "Nutrients", "15. Life on land", "01 natural sciences", "Image analysis", "Insects", "03 medical and health sciences", "Root", "Anatomy", "Pathogens", "Mycorrhiza"]}, "links": [{"href": "https://doi.org/20.500.11850/497409"}, {"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": "20.500.11850/497409", "name": "item", "description": "20.500.11850/497409", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11850/497409"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "2766336887", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:48Z", "type": "Journal Article", "created": "2017-11-06", "title": "Characterising and linking X-ray CT derived macroporosity parameters to infiltration in soils with contrasting structures", "description": "<p>Soils deliver the regulating ecosystem services of water infiltration and distribution, which can be controlled by macropores. Parameterizing macropore hydraulic properties is challenging due to the lack of direct measurement methods. With tension-disc infiltrometry hydraulic properties near saturation can be measured. Differentiating between hydrologically active and non-active pores, at a given water potential, indirectly assesses macropore continuity. Water flow through macropores is controlled by macropore size distribution, tortuosity, and connectivity, which can be directly derived by X-ray computed tomography (CT). Our objective was to parameterize macropore hydraulic properties based on the imaged macropore network of three horizons of an Andosol and a Gleysol. Hydraulic conductivity K <sub>unsat</sub> was derived from infiltration measurements. Soil cores from the infiltration areas were scanned with X-ray CT. K <sub>unsat</sub> was significantly higher in the Andosol than in the Gleysol at all water potentials, and decreased significantly with depth in both soils. The in situ measurements guided the definition of new macroporosity parameters from the X-ray CT reconstructions. For the Andosol, K <sub>unsat</sub> was best predicted using the imaged-limited macroporosity. A low total macroporosity, coupled with a high macropore density, indicated the abundance of smaller macropores, leading to homogeneous matrix flux. Imaged macropores were not well connected. In contrast, the Gleysol had a bi-modal macropore system with few very large, but well-connected macropores. K <sub>unsat</sub> was best predicted using the imaged macroporosity consisting only of macropores with diameters between 0.75 and 3 mm. Our research demonstrates that linking traditional soil physical measurements with soil-visualization techniques has a huge potential to improve parameterizing macropore hydraulic properties. The relevance of the relationships found in this study for larger scales and other soil types still needs to be tested, for example by a multi-scale investigation including a much wider range of different soils. </p>", "keywords": ["[SDE] Environmental Sciences", "Hydraulic parameters", "0207 environmental engineering", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "6. Clean water", "Image analysis", "Tension disc in\ufb01ltrometr", "Tension disc infiltrometry", "Pore network", "13. Climate action", "Soil structure", "[SDE.ES] Environmental Sciences/Environment and Society", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/2766336887"}, {"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": "2766336887", "name": "item", "description": "2766336887", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2766336887"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-01T00:00:00Z"}}, {"id": "3195911513", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:27:21Z", "type": "Journal Article", "created": "2021-08-19", "title": "UAV-Based Land Cover Classification for Hoverfly (Diptera: Syrphidae) Habitat Condition Assessment: A Case Study on Mt. Stara Planina (Serbia)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Habitat degradation, mostly caused by human impact, is one of the key drivers of biodiversity loss. This is a global problem, causing a decline in the number of pollinators, such as hoverflies. In the process of digitalizing ecological studies in Serbia, remote-sensing-based land cover classification has become a key component for both current and future research. Object-based land cover classification, using machine learning algorithms of very high resolution (VHR) imagery acquired by an unmanned aerial vehicle (UAV) was carried out in three different study sites on Mt. Stara Planina, Eastern Serbia. UAV land cover classified maps with seven land cover classes (trees, shrubs, meadows, road, water, agricultural land, and forest patches) were studied. Moreover, three different classification algorithms\u2014support vector machine (SVM), random forest (RF), and k-NN (k-nearest neighbors)\u2014were compared. This study shows that the random forest classifier performs better with respect to the other classifiers in all three study sites, with overall accuracy values ranging from 0.87 to 0.96. The overall results are robust to changes in labeling ground truth subsets. The obtained UAV land cover classified maps were compared with the Map of the Natural Vegetation of Europe (EPNV) and used to quantify habitat degradation and assess hoverfly species richness. It was concluded that the percentage of habitat degradation is primarily caused by anthropogenic pressure, thus affecting the richness of hoverfly species in the study sites. In order to enable research reproducibility, the datasets used in this study are made available in a public repository.</p></article>", "keywords": ["<i>Map of the Natural Vegetation of Europe</i>", "Orfeo ToolBox", "unmanned aerial vehicle; object-based image analysis; Orfeo ToolBox; QGIS; random forest; hoverfly; Map of the Natural Vegetation of Europe", "Science", "Q", "0211 other engineering and technologies", "Unmanned aerial vehicle", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Object-based image analysis", "Map of the Natural Vegetation of Europe", "13. Climate action", "unmanned aerial vehicle;\u00a0object-based image analysis;\u00a0Orfeo ToolBox;\u00a0QGIS;\u00a0random forest;\u00a0hoverfly;\u00a0Map of the Natural Vegetation of Europe", "unmanned aerial vehicle", "object-based image analysis", "Hoverfly", "QGIS", "random forest", "Random forest", "hoverfly", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/16/3272/pdf"}, {"href": "https://doi.org/3195911513"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3195911513", "name": "item", "description": "3195911513", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3195911513"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-18T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Image+analysis&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=Image+analysis&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=Image+analysis&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Image+analysis&offset=20", "hreflang": "en-US"}], "numberMatched": 20, "numberReturned": 20, "distributedFeatures": [], "timeStamp": "2026-06-25T13:27:40.176426Z"}