Template-Type: ReDIF-Article 1.0 Author-Name: Adéla Marie Marhoul Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Tomáš Herza Author-Workplace-Name: Hydrosoft Veleslavín s.r.o., Prague, Czech Republic Author-Name: Josef Kozák Author-Name: Jaroslava Janků Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Jan Jehlička Author-Workplace-Name: Department of Environmental Geosciences, Faculty of the Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Luboš Borůvka Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Karel Němeček Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Miroslav Jetmar Author-Workplace-Name: Department of Environmental Geosciences, Faculty of the Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Petr Polák Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Workplace-Name: Ministry of Finance of the Czech Republic, Prague, Czech Republic Title: New version of PUGIS - Soil information system of the Czech Republic Abstract: The creation of the database system represents a complex task which is difficult to coordinate. In this work, a method of the logic framework was used for the coordination of each particular step to one integral part. In the Czech Republic, most of the information about soil was gathered within a systematic soil survey (KPP) in the period 1961-1970. Information about genetic and agronomic characteristics of agricultural soils was gathered for the whole Czech Republic. The other part of the data is coming from the databases of forest soils. This contribution is a continuation of the previous research. We are aware of the fact that in the Czech Republic exist also other soil information systems. In this work we also tried to show the practical exploitation of the large soil database. We applied many approaches to assess bulk density of the soil. It was calculated for the main soil groups and it could be applied on every soil profile in PUGIS system. We also showed different possibilities of mapping soil organic concentration or amount in soils. Keywords: application of soil data, soil databases, soil information system Journal: Soil and Water Research Pages: 1-15 Volume: 20 Issue: 1 Year: 2025 DOI: 10.17221/138/2024-SWR File-URL: http://swr.agriculturejournals.cz/doi/10.17221/138/2024-SWR.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/swr-202501-0001.txt Handle: RePEc:caa:jnlswr:v:20:y:2025:i:1:id:138-2024-SWR Template-Type: ReDIF-Article 1.0 Author-Name: Adéla Marie Marhoul Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Tomáš Herza Author-Workplace-Name: Hydrosoft Veleslavín s.r.o., Prague, Czech Republic Author-Name: Josef Kozák Author-Name: Jaroslava Janků Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Jan Jehlička Author-Workplace-Name: Department of Environmental Geosciences, Faculty of the Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Luboš Borůvka Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Karel Němeček Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Miroslav Jetmar Author-Workplace-Name: Department of Environmental Geosciences, Faculty of the Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Petr Polák Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Workplace-Name: Ministry of Finance of the Czech Republic, Prague, Czech Republic Title: Approximation of the soil particle-size distribution curve using a NURBS curve Abstract: Soil particle-size distribution or soil texture presents one of the most important physical properties. There are various systems of the classification systems for soil particle-size fractions with different boundaries. Our effort was concentrated on the mathematical approach to evaluate the existing data and convert it to the form of a reconstructed cumulative particle-size curve which will allow reading concentration of any desired particle size. Non-Uniform Rational B-Splines (NURBS) curves therefore represent a generalization of B-splines and Bézier curves by extending the definition by an element of rationality, which is represented by the weights of the control points, and a nodal vector of parametrization, which represents the element of uniformity. The NURBS curve was used for smooth (depending on the degree of the curve used) and as tight as possible approximation of the arranged control points, the connecting lines of which forms a convex envelope for its individual parts. The NURBS approximation curve is therefore determined by the ordered control points and their connecting lines, the weights of these points, the degree of the curve and the nodal vector of parametrization. However, the construction of the approximation curve is primarily dependent on a limited number of points of the experimentally determined particle-size distribution curves, and for curves with significant breaks in the course, one must consider either a lower accuracy of the approximation or the necessity of "improving" the approximation using the weights of individual points, inserting additional points or working with a nodal vector of parametrization. For basic approximation, the PUGIS system (Czech soil information system) offers automatic approximation using all variants mentioned in the article as well as the possibility of individual changes in the weights of control points, in their number and position, and in the nodal vector of parametrization. Keywords: data harmonization, legacy soil database, mathematical approach, soil particles cumulative curve restoration, soil texture Journal: Soil and Water Research Pages: 16-31 Volume: 20 Issue: 1 Year: 2025 DOI: 10.17221/139/2024-SWR File-URL: http://swr.agriculturejournals.cz/doi/10.17221/139/2024-SWR.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/swr-202501-0002.txt Handle: RePEc:caa:jnlswr:v:20:y:2025:i:1:id:139-2024-SWR Template-Type: ReDIF-Article 1.0 Author-Name: Vincent Oppong Sarkodie Author-Name: Radim Vašát Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Karel Němeček Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Vít Šrámek Author-Workplace-Name: Forestry and Game Management Research Institute, Strnady, Jíloviště, Czech Republic Author-Name: Věra Fadrhonsová Author-Workplace-Name: Forestry and Game Management Research Institute, Strnady, Jíloviště, Czech Republic Author-Name: Kateřina Neudertová Hellebrandová Author-Workplace-Name: Forestry and Game Management Research Institute, Strnady, Jíloviště, Czech Republic Author-Name: Luboš Borůvka Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic Title: Assessment of multivariate associations and spatial variability of forest soil properties and their stand factors in the Czech Republic Abstract: Knowing the relationship between forest soil properties and their stand conditions is relevant for the sustainable exploitation and management of forest soils. This study examines the influence of stand environmental factors on soil properties within forest environments. We further assessed the spatial variability of these soil properties and their controlling factors. A harmonised soil database on the entire forest areas of the Czech Republic was considered; however, only 851 sampling points with complete data on soil properties was used out of the more than 8 thousand sampling points in the database. The topsoil mineral layer of 0-30 cm was analysed. Principal component analysis was used to determine the relationships between the forest soil properties and their stand controlling factors. The nugget ratios for the semivariograms and cross-variograms were used to evaluate the spatial dependence of soil properties, and their relevant controlling factors. Forest types influence soil reaction and the availability of cations within the topsoils. Phosphorus is influenced by aluminium and cation exchange capacity. There are higher concentrations of total phosphorus and aluminium under broadleaved forest. Keywords: environmental factors, forest soils, geostatistics, principal component analysis, spatial variability Journal: Soil and Water Research Pages: 32-42 Volume: 20 Issue: 1 Year: 2025 DOI: 10.17221/114/2024-SWR File-URL: http://swr.agriculturejournals.cz/doi/10.17221/114/2024-SWR.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/swr-202501-0003.txt Handle: RePEc:caa:jnlswr:v:20:y:2025:i:1:id:114-2024-SWR Template-Type: ReDIF-Article 1.0 Author-Name: Ouahiba Bouchama Author-Name: Lounes Amar Author-Workplace-Name: Local Authority Les Eucalyptus, Algiers, Algeria Title: Monitoring surface water pollution in Algeria using database indices Abstract: This study investigated how remote sensing techniques can pinpoint pollution in surface water areas. Researchers focused on the municipalities of Boumerdes, Corso, and Tidjalabine in Algeria's Boumerdes province. The team used geographic information systems (GIS) to analyse pollution levels and their spatial distribution. Specifically, they employed the Normalised Difference Vegetation Index (NDVI) to identify areas teeming with biodiversity and healthy vegetation. Furthermore, the compactness index provided insights into the overall evolution of the drainage network. This data proved invaluable in identifying areas likely impacted by pollution. Our study is part of a scientific approach to detecting, monitoring, and intervening in water pollution. The core objective was to develop an alternate approach to protecting productive farmland and populated areas by mitigating pollution in these susceptible zones. The NDVI and compactness index, along with their associated database, hold significant promise for environmental preservation efforts. This spatial procedure effectively maps the spatial temporal distribution of pollutants, providing targeted management strategies. The method's user-friendly nature makes it easily applicable in other African countries. Keywords: GIS, Landsat 8, NDVI, pollution, water quality assessment system Journal: Soil and Water Research Pages: 43-51 Volume: 20 Issue: 1 Year: 2025 DOI: 10.17221/83/2024-SWR File-URL: http://swr.agriculturejournals.cz/doi/10.17221/83/2024-SWR.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/swr-202501-0004.txt Handle: RePEc:caa:jnlswr:v:20:y:2025:i:1:id:83-2024-SWR Template-Type: ReDIF-Article 1.0 Author-Name: Erika Balontayová Author-Name: Juraj Hreško Author-Workplace-Name: Department of Ecology and Environmental Science, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Nitra, Slovak Republic Author-Name: Viera Petlušová Author-Workplace-Name: Department of Ecology and Environmental Science, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Nitra, Slovak Republic Author-Name: Peter Petluš Author-Workplace-Name: Department of Ecology and Environmental Science, Faculty of Natural Sciences and Informatics, Constantine the Philosopher University in Nitra, Nitra, Slovak Republic Author-Name: Bożena Dębska Author-Workplace-Name: Department of Biogeochemistry and Soil Science, Bydgoszcz University of Science and Technology, Bydgoszcz, Poland Author-Name: Tomáš Lošák Author-Workplace-Name: Department of Environmental Science and Natural Resources, Faculty of Regional Development and International Studies, Mendel University in Brno, Brno, Czech Republic Title: Parameters of labile organic carbon as the indicators of the stability of soil organic matter under different land use Abstract: The labile fractions of organic carbon (OC), which are a reflection of the properties of soil and its use, appear to be suitable parameters for their use as indicators. The aim of this study was to determine the reliable and relatively simple indicators for detecting the chemical and physical stabilizations of OC, which would respond sensitively to land use. The study includes forest ecosystem (FE) and agroecosystem (AE) with different tillage intensities (reduced tillage, RT and conventional tillage, CT) on real farms. Parameters of the labile C and N were tested. For a depth of < 0.1 m in the FE, the hot water extractable organic carbon (HWEOC) for chemical stabilization and labile nitrogen (NL) for physical stabilization appear as the most suitable indicators. Higher values of HWEOC indicate the OC stabilization by decreasing decomposition, pH or by increasing carbonates, recalcitrant fractions, and higher values of NL by OC incorporation into the silt fraction and larger macro-aggregates. In the AE with RT, these are the HWEOC for chemical stabilization and carbon pool index (CPI) or index of carbon lability (LIC) for physical stabilization. Higher values of CPI and LIC indicate the stabilization by the formation of size-optimal dry-sieved (DSA; 1-3 mm) and wet-sieved (WSA; 1-2 mm) soil aggregates. In the AE with CT, it was the NL. Its higher values point to the stabilization through the carbonates, alkaline cations, size-fraction of > 0.01 mm and the formation of DSA (1-3 mm). For a depth of < 0.3 m in the AE, these are the CL (for RT), higher value of which points to the stabilization by clay and alkaline cations, and HWEOC (for CT), higher value of which indicates the stabilization in the conditions of the soil acidification. Keywords: agroecosystem, forest, indicators, labile carbon, stabilization, tillage Journal: Soil and Water Research Pages: 52-68 Volume: 20 Issue: 1 Year: 2025 DOI: 10.17221/119/2024-SWR File-URL: http://swr.agriculturejournals.cz/doi/10.17221/119/2024-SWR.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/swr-202501-0005.txt Handle: RePEc:caa:jnlswr:v:20:y:2025:i:1:id:119-2024-SWR Template-Type: ReDIF-Article 1.0 Author-Name: Lubica Pospíšilová Author-Workplace-Name: Department of Agrochemistry, Soil Science, Microbiology and Plant Nutrition, Faculty of AgriSciences, Mendel University in Brno, Brno, Czech Republic Author-Workplace-Name: Department of Pedology nad Geology, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech Republic Author-Name: Jana Plisková Author-Workplace-Name: Department of Agrochemistry, Soil Science, Microbiology and Plant Nutrition, Faculty of AgriSciences, Mendel University in Brno, Brno, Czech Republic Author-Name: Victory Armida Janine Jaques Author-Workplace-Name: CEITEC - Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic Author-Name: Tomáš Zikmund Author-Workplace-Name: CEITEC - Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic Author-Name: Luboš Sedlák Author-Workplace-Name: Department of Pedology nad Geology, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech Republic Author-Name: Aleš Eichmeier Author-Workplace-Name: Mendeleum Institute of Genetics, Faculty of Horticulture, Mendel University in Brno, Lednice, Czech Republic Author-Name: Aleš Klement Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Radka Kodešová Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Luboš Borůvka Author-Workplace-Name: Department of Soil Science and Soil Protection, Faculty of Agrobiology, Food and Natural Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic Author-Name: Jozef Kaiser Author-Workplace-Name: CEITEC - Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic Author-Name: Ladislav Menšík Author-Workplace-Name: Division of Crop Management Systems, Crop Research Institute, Prague-Ruzyně, Czech Republic Title: Corrigendum: Computed tomographic visualisation and 2D/3D microscopic evaluation of soil macro- and micromorphology Journal: Soil and Water Research Pages: 69 Volume: 20 Issue: 1 Year: 2025 DOI: 10.17221/2/2025-SWR File-URL: http://swr.agriculturejournals.cz/doi/10.17221/2/2025-SWR.html File-Format: text/html Handle: RePEc:caa:jnlswr:v:20:y:2025:i:1:id:2-2025-SWR Template-Type: ReDIF-Article 1.0 Author-Name: Editorial Department Title: LIST OF REVIEWERS - 2024 Journal: Soil and Water Research Pages: I Volume: 20 Issue: 1 Year: 2025 File-URL: http://swr.agriculturejournals.cz/artkey/swr-202501-0007_list-of-reviewers-8211-2024.php File-Format: text/html Handle: RePEc:caa:jnlswr:v:20:y:2025:i:1:id:swr-202501-0007