{"type": "FeatureCollection", "features": [{"id": "10.1002/joc.7241", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:14:16Z", "type": "Journal Article", "created": "2021-06-06", "title": "Long\u2010term changes in drought indices in eastern and central Europe", "description": "Abstract

This study analyses long\uffe2\uff80\uff90term changes in drought indices (Standardised Precipitation Index\uffe2\uff80\uff94SPI, Standardised Precipitation\uffe2\uff80\uff93Evapotranspiration Index\uffe2\uff80\uff94SPEI) at 1 and 3\uffe2\uff80\uff89months scales at 182 stations in 11 central and eastern European countries during 1949\uffe2\uff80\uff932018. For comparative purposes, the necessary atmospheric evaporative demand (AED) to obtain SPEI was calculated using two methods, Hargreaves\uffe2\uff80\uff90Samani (SPEIH) and Penman\uffe2\uff80\uff90Monteith (SPEIP). The results show some relevant changes and tendencies in the drought indices. Statistically significant increase in SPI and SPEI during the cold season (November\uffe2\uff80\uff93March), reflecting precipitation increase, was found in the northern part of the study region, in Estonia, Latvia, Lithuania, northern Belarus and northern Poland. In the rest of study domain, a weak and mostly insignificant decrease prevailed in winter. Summer season (June\uffe2\uff80\uff93August) is characterized by changes in the opposite sign. An increase was observed in the north, while a clear decrease in SPEI, reflecting a drying trend, was typical for the southern regions: the Czech Republic, Slovakia, Hungary, Romania, Moldova and southern Poland. A general drying tendency revealed also in April, which was statistically significant over a wide area in the Czech Republic and Poland. Increasing trends in SPI and SPEI for September and October were detected in Romania, Moldova and Hungary. The use of SPEI instead of SPI generally enhances drying trends.Knowledge on spatial distribution of crop yield in relation to fixed soil fertilisation with exogenous organic materials is essential for improving precise crop and soil management practices within a field. This study assessed the effect of various application rates and types of exogenous (recycled) organic materials (EOMs) containing different organic matter and nitrogen contents vs. mineral nitrogen on the yield of maize by means of linear regressions (trends), spatial kriging-interpolated maps, and Bland-Altman statistics. The experiments were conducted in 2013 and 2014 on two soils, i.e. loam silt in Braszowice (Poland) and clay silt loam in Pust\uffc3\uffa9 Jakartice (Czech Republic) under a cross-border cooperation project. The organic materials included compost from manure, slurry, and straw (Ag), industrial organic compost from sewage sludge (Ra), animal meal from animal by-products (Mb), and digestate from a biogas fries factory (Dg). The following 3 application rates of each EOM were adjusted according to the reference 100%\uffe2\uff80\uff89=\uffe2\uff80\uff89200\uffe2\uff80\uff89kg\uffe2\uff80\uff89N ha\uffe2\uff88\uff921: 50 (50% N from EOM and 50% mineral N), 75 (75% N from EOM and 25% mineral N), and 100 (100% N from EOM). 100% mineral N was applied on control plots. All treatments were carried out in 4 replicates. The linear regressions between the EOM application rates and the maize yield were in general ascending in the Braszowice soil and descending in the more productive Pust\uffc3\uffa9 Jakartice soil. The spatial kriging-interpolated maps allowed separating zones of lower and higher yields with EOMs compared to the control. They were attributed in part to the different EOM application rates and soil water contents. The Bland-Altaman statistics showed that addition of 50% of N from EOMs in 2013 caused a decrease and an increase in the maize grain yield in Braszowice and Pust\uffc3\uffa9 Jakartice, respectively, whereas the inverse was true with the 75 and 100% EOM additions. In 2014, the yield of maize for silage increased with the increasing EOM application rate in Braszowice and decreased in Pust\uffc3\uffa9 Jakartice, but it was smaller on all EOM-amended plots than in the control. As shown by the limits of agreement lines, the maize yields were more even in Pust\uffc3\uffa9 Jakartice than Braszowice. These results provide helpful information for selection of the most yield-producing EOM rates depending on the site soil conditions and prevalent weather conditions.

Accelerated soil erosion by water has many offsite impacts on the municipal infrastructure. This paper discusses how to easily detect potential risk points around municipalities by simple spatial analysis using GIS. In the Czech Republic, the WaTEM/SEDEM model is verified and used in large scale studies to assess sediment transports. Instead of computing actual sediment transports in river systems, WaTEM/SEDEM has been innovatively used in high spatial detail to define indices of sediment flux from small contributing areas. Such an approach has allowed for the modeling of sediment fluxes in contributing areas with above 127,484 risk points, covering the entire Czech Republic territory. Risk points are defined as outlets of contributing areas larger than 1 ha, wherein the surface runoff goes into residential areas or vulnerable bodies of water. Sediment flux indices were calibrated by conducting terrain surveys in 4 large watersheds and splitting the risk points into 5 groups defined by the intensity of sediment transport threat. The best sediment flux index resulted from the correlation between the modeled total sediment input in a 100 m buffer zone of the risk point and the field survey data (R2 from 0.57 to 0.91 for the calibration watersheds). Correlation analysis and principal component analysis (PCA) of the modeled indices and their relation to 11 lumped characteristics of the contributing areas were computed (average K-factor; average R-factor; average slope; area of arable land; area of forest; area of grassland; total watershed area; average planar curvature; average profile curvature; specific width; stream power index). The comparison showed that for risk definition the most important is a combination of morphometric characteristics (specific width and stream power index), followed by watershed area, proportion of grassland, soil erodibility, and rain erosivity (described by PC2).

", "keywords": ["soil erosion", "PCA analysis", "residential areas", "RUSLE (Revised Universal Soil Loss Equation)", "watershed characteristics", "04 agricultural and veterinary sciences", "Residential areas", "15. Life on land", "6. Clean water", "total soil loss", "13. Climate action", "11. Sustainability", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "sediment flux", "Sediment flux", "WaTEM/SEDEM", "Watershed characteristics", "Total soil loss", "Czech Republic"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://doi.org/10261/253137"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/253137", "name": "item", "description": "10261/253137", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/253137"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-23T00:00:00Z"}}, {"id": "10.3390/su14105748", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:07Z", "type": "Journal Article", "created": "2022-05-11", "title": "Using WaTEM/SEDEM to Model the Effects of Crop Rotation and Changes in Land Use on Sediment Transport in the Vrchlice Watershed", "description": "

The Czech landscape has undergone various changes over the last 100 years and has been mainly adapted agriculturally for economic purposes. This has resulted, among other things, in reservoirs being clogged with sediment. The Vrchlice Reservoir was built in 1970 to supply drinking water for around 50,000 inhabitants, and increased sedimentation has been detected in the reservoir in recent years. Water erosion and sediment transport were modeled with WaTEM/SEDEM. Sediment volumes were measured in eight ponds across the watershed for calibration purposes. Modeled results from ponds in watersheds covered mostly with arable lands generally corresponded with the measured values. Although in forested watersheds, the measured sediment volumes greatly exceeded modeled sediment yields, indicating high uncertainty in using USLE-based models in non-agricultural watersheds. The modeled scenarios represented pre-Communist, Communist, and post-Communist eras. For these periods WaTEM/SEDEM was used to evaluate three isolated effects: the effects of various crops on arable lands, the effects of farmland fragmentation, and finally the effects of changes in land use. The change in crops proved to be an important factor causing high siltation rate (potential 23% reduction in sediment yield for historical periods), and land fragmentation played the second important role (potential 15% reduction in sediment yield can be reached by land fragmentation). Across all scenarios, the lowest sediment yield and reservoirs siltation rates were obtained from the pre-Communist and Communist crop share under current land use conditions, and current land use with farmland fragmentation implemented, as it was re-constructed for the pre-Communist era. This supports the idea that the introduction of green areas within arable lands are beneficial to the landscape and can help reduce soil erosion and reservoir siltation.

", "keywords": ["2. Zero hunger", "Czech republic", "sediment; reservoir; ponds; water erosion; WaTEM/SEDEM; Czech Republic", "15. Life on land", "01 natural sciences", "6. Clean water", "13. Climate action", "11. Sustainability", "Sediment", "WaTEM/SEDEM", "Water erosion", "Ponds", "Czech Republic", "Reservoir", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/14/10/5748/pdf"}, {"href": "https://www.mdpi.com/2071-1050/14/10/5748/pdf"}, {"href": "https://doi.org/10.3390/su14105748"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su14105748", "name": "item", "description": "10.3390/su14105748", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su14105748"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-10T00:00:00Z"}}, {"id": "10.3390/w12061787", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:21:09Z", "type": "Journal Article", "created": "2020-06-24", "title": "Can Lumped Characteristics of a Contributing Area Provide Risk Definition of Sediment Flux?", "description": "

Accelerated soil erosion by water has many offsite impacts on the municipal infrastructure. This paper discusses how to easily detect potential risk points around municipalities by simple spatial analysis using GIS. In the Czech Republic, the WaTEM/SEDEM model is verified and used in large scale studies to assess sediment transports. Instead of computing actual sediment transports in river systems, WaTEM/SEDEM has been innovatively used in high spatial detail to define indices of sediment flux from small contributing areas. Such an approach has allowed for the modeling of sediment fluxes in contributing areas with above 127,484 risk points, covering the entire Czech Republic territory. Risk points are defined as outlets of contributing areas larger than 1 ha, wherein the surface runoff goes into residential areas or vulnerable bodies of water. Sediment flux indices were calibrated by conducting terrain surveys in 4 large watersheds and splitting the risk points into 5 groups defined by the intensity of sediment transport threat. The best sediment flux index resulted from the correlation between the modeled total sediment input in a 100 m buffer zone of the risk point and the field survey data (R2 from 0.57 to 0.91 for the calibration watersheds). Correlation analysis and principal component analysis (PCA) of the modeled indices and their relation to 11 lumped characteristics of the contributing areas were computed (average K-factor; average R-factor; average slope; area of arable land; area of forest; area of grassland; total watershed area; average planar curvature; average profile curvature; specific width; stream power index). The comparison showed that for risk definition the most important is a combination of morphometric characteristics (specific width and stream power index), followed by watershed area, proportion of grassland, soil erodibility, and rain erosivity (described by PC2).

", "keywords": ["soil erosion", "PCA analysis", "residential areas", "RUSLE (Revised Universal Soil Loss Equation)", "watershed characteristics", "04 agricultural and veterinary sciences", "Residential areas", "15. Life on land", "6. Clean water", "total soil loss", "13. Climate action", "11. Sustainability", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "sediment flux", "Sediment flux", "WaTEM/SEDEM", "Watershed characteristics", "Total soil loss", "Czech Republic"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://doi.org/10.3390/w12061787"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w12061787", "name": "item", "description": "10.3390/w12061787", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w12061787"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-23T00:00:00Z"}}, {"id": "10.5281/zenodo.13945384", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:22Z", "type": "Report", "title": "Evaluation of soil threats and ecosystem service evolution under climate, land use or management changes.", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. Based on an intensive literature review and results from previous experiences in member states a scenario framework was developed (climate, land use, and management changes) and common methodologies (statistical methods, simple and/or more sophisticated models) were identified, used or validated to forecast how selected soil ecosystem services (SES) and soil threats (ST) will change according to climate, land-use and management changes. In contrast to WP5 we focus in WP3/Task 3 on forecasts of changes of various soil indicators on site, regional or national scale, and could rely on soil maps with high resolution that are maintained by several member states. Three countries out of 6 were able to give predictions for changes on the SES \u201cGHG and climate regulation\u201d. Two countries were working on the SES \u201cPrimary biomass production\u201d and could predict changes in \u201cErosion control\u201d on a national scale. \u201cHydrological control\u201d and \u201cEnvironmental pollution control\u201d was predicted in one country in 2 regions. Changes in climate, land management or land use change and their effects on ST could be predicted less often. Three countries could predict the effects ofchanges on \u201cSoil organic carbon loss\u201d and on \u201cSoil compaction\u201d, two countries estimated the loss ofsoil via erosion. Only one country each could predict effects of changes on \u201cSoil nutrient imbalance\u201dand \u201cSoil acidification\u201d and \u201cSoil sealing\u201d. Either no appropriate model or no experience was availablefor the SES \u201cHabitat for biodiversity\u201d and \u201cPest and disease control\u201d and for the ST\u2019s \u201cWaterlogging\u201d,\u201cSoil contamination\u201d, \u201cLoss of diversity\u201d and \u201cSalinization\u201d.", "keywords": ["Estonia", "land use change", "Task 3.3", "soil nutrient imbalance", "salinization", "management change", "D3.4", "soil", "Environmental pollution control", "loss of diversity", "soil compaction", "soil sealing", "Erosion control", "Soil threats", "habitat for biodiversity", "loss of soil", "Primary biomass production", "Czech Republic", "agriculture", "GHG and climate regulation", "Hydrological control", "scenario analysis", "Grant n. 862695", "Soil ecosystem services", "waterlogging", "soil organic carbon loss", "climate change", "SERENA EJPSOIL", "WP3", "Austria", "pest and disease control", "France", "Poland", "soil acidification", "Ireland", "soil contamination"], "contacts": [{"organization": "Kitzler, Barbara", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13945384"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13945384", "name": "item", "description": "10.5281/zenodo.13945384", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13945384"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-17T00:00:00Z"}}, {"id": "10.5281/zenodo.13929753", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:22Z", "type": "Report", "title": "Soil priorities for the Czech Republic", "description": "Preprint of the paper: Bor\u016fvka, L., Pen\u00ed\u017eek, V., Z\u00e1dorov\u00e1, T., Pavl\u016f, L., Kode\u0161ov\u00e1, R., Koz\u00e1k, J., Jank\u016f, J. (2022): Soil priorities for the Czech Republic. Geoderma Regional 29: e00525.", "keywords": ["soil survey", "EJPSOIL", "soil data", "Czech Republic"], "contacts": [{"organization": "Bor\u016fvka, Lubo\u0161", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13929753"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13929753", "name": "item", "description": "10.5281/zenodo.13929753", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13929753"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-10T00:00:00Z"}}, {"id": "10.5281/zenodo.13945383", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:22:22Z", "type": "Report", "created": "2024-10-22", "title": "Evaluation of soil threats and ecosystem service evolution under climate, land use or management changes.", "description": "The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. Based on an intensive literature review and results from previous experiences in member states a scenario framework was developed (climate, land use, and management changes) and common methodologies (statistical methods, simple and/or more sophisticated models) were identified, used or validated to forecast how selected soil ecosystem services (SES) and soil threats (ST) will change according to climate, land-use and management changes. In contrast to WP5 we focus in WP3/Task 3 on forecasts of changes of various soil indicators on site, regional or national scale, and could rely on soil maps with high resolution that are maintained by several member states. Three countries out of 6 were able to give predictions for changes on the SES \u201cGHG and climate regulation\u201d. Two countries were working on the SES \u201cPrimary biomass production\u201d and could predict changes in \u201cErosion control\u201d on a national scale. \u201cHydrological control\u201d and \u201cEnvironmental pollution control\u201d was predicted in one country in 2 regions. Changes in climate, land management or land use change and their effects on ST could be predicted less often. Three countries could predict the effects ofchanges on \u201cSoil organic carbon loss\u201d and on \u201cSoil compaction\u201d, two countries estimated the loss ofsoil via erosion. Only one country each could predict effects of changes on \u201cSoil nutrient imbalance\u201dand \u201cSoil acidification\u201d and \u201cSoil sealing\u201d. Either no appropriate model or no experience was availablefor the SES \u201cHabitat for biodiversity\u201d and \u201cPest and disease control\u201d and for the ST\u2019s \u201cWaterlogging\u201d,\u201cSoil contamination\u201d, \u201cLoss of diversity\u201d and \u201cSalinization\u201d.", "keywords": ["Estonia", "land use change", "Task 3.3", "soil nutrient imbalance", "salinization", "management change", "D3.4", "soil", "Environmental pollution control", "loss of diversity", "soil compaction", "soil sealing", "Erosion control", "Soil threats", "habitat for biodiversity", "loss of soil", "Primary biomass production", "Czech Republic", "agriculture", "GHG and climate regulation", "Hydrological control", "scenario analysis", "Grant n. 862695", "Soil ecosystem services", "waterlogging", "soil organic carbon loss", "climate change", "SERENA EJPSOIL", "WP3", "Austria", "pest and disease control", "France", "Poland", "soil acidification", "Ireland", "soil contamination"], "contacts": [{"organization": "Kitzler, Barbara", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13945383"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13945383", "name": "item", "description": "10.5281/zenodo.13945383", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13945383"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-10-17T00:00:00Z"}}, {"id": "10261/279278", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-01T16:24:28Z", "type": "Journal Article", "created": "2022-05-10", "title": "Using WaTEM/SEDEM to Model the Effects of Crop Rotation and Changes in Land Use on Sediment Transport in the Vrchlice Watershed", "description": "

The Czech landscape has undergone various changes over the last 100 years and has been mainly adapted agriculturally for economic purposes. This has resulted, among other things, in reservoirs being clogged with sediment. The Vrchlice Reservoir was built in 1970 to supply drinking water for around 50,000 inhabitants, and increased sedimentation has been detected in the reservoir in recent years. Water erosion and sediment transport were modeled with WaTEM/SEDEM. Sediment volumes were measured in eight ponds across the watershed for calibration purposes. Modeled results from ponds in watersheds covered mostly with arable lands generally corresponded with the measured values. Although in forested watersheds, the measured sediment volumes greatly exceeded modeled sediment yields, indicating high uncertainty in using USLE-based models in non-agricultural watersheds. The modeled scenarios represented pre-Communist, Communist, and post-Communist eras. For these periods WaTEM/SEDEM was used to evaluate three isolated effects: the effects of various crops on arable lands, the effects of farmland fragmentation, and finally the effects of changes in land use. The change in crops proved to be an important factor causing high siltation rate (potential 23% reduction in sediment yield for historical periods), and land fragmentation played the second important role (potential 15% reduction in sediment yield can be reached by land fragmentation). Across all scenarios, the lowest sediment yield and reservoirs siltation rates were obtained from the pre-Communist and Communist crop share under current land use conditions, and current land use with farmland fragmentation implemented, as it was re-constructed for the pre-Communist era. This supports the idea that the introduction of green areas within arable lands are beneficial to the landscape and can help reduce soil erosion and reservoir siltation.

", "keywords": ["2. Zero hunger", "Czech republic", "sediment; reservoir; ponds; water erosion; WaTEM/SEDEM; Czech Republic", "15. Life on land", "01 natural sciences", "6. Clean water", "13. Climate action", "11. Sustainability", "Sediment", "WaTEM/SEDEM", "Water erosion", "Ponds", "Czech Republic", "Reservoir", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2071-1050/14/10/5748/pdf"}, {"href": "https://www.mdpi.com/2071-1050/14/10/5748/pdf"}, {"href": "https://doi.org/10261/279278"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/279278", "name": "item", "description": "10261/279278", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/279278"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-10T00:00:00Z"}}, {"id": "10261/358949", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:24:31Z", "type": "Journal Article", "created": "2021-06-06", "title": "Long\u2010term changes in drought indices in eastern and central Europe", "description": "Abstract

This study analyses long\uffe2\uff80\uff90term changes in drought indices (Standardised Precipitation Index\uffe2\uff80\uff94SPI, Standardised Precipitation\uffe2\uff80\uff93Evapotranspiration Index\uffe2\uff80\uff94SPEI) at 1 and 3\uffe2\uff80\uff89months scales at 182 stations in 11 central and eastern European countries during 1949\uffe2\uff80\uff932018. For comparative purposes, the necessary atmospheric evaporative demand (AED) to obtain SPEI was calculated using two methods, Hargreaves\uffe2\uff80\uff90Samani (SPEIH) and Penman\uffe2\uff80\uff90Monteith (SPEIP). The results show some relevant changes and tendencies in the drought indices. Statistically significant increase in SPI and SPEI during the cold season (November\uffe2\uff80\uff93March), reflecting precipitation increase, was found in the northern part of the study region, in Estonia, Latvia, Lithuania, northern Belarus and northern Poland. In the rest of study domain, a weak and mostly insignificant decrease prevailed in winter. Summer season (June\uffe2\uff80\uff93August) is characterized by changes in the opposite sign. An increase was observed in the north, while a clear decrease in SPEI, reflecting a drying trend, was typical for the southern regions: the Czech Republic, Slovakia, Hungary, Romania, Moldova and southern Poland. A general drying tendency revealed also in April, which was statistically significant over a wide area in the Czech Republic and Poland. Increasing trends in SPI and SPEI for September and October were detected in Romania, Moldova and Hungary. The use of SPEI instead of SPI generally enhances drying trends.Knowledge on spatial distribution of crop yield in relation to fixed soil fertilisation with exogenous organic materials is essential for improving precise crop and soil management practices within a field. This study assessed the effect of various application rates and types of exogenous (recycled) organic materials (EOMs) containing different organic matter and nitrogen contents vs. mineral nitrogen on the yield of maize by means of linear regressions (trends), spatial kriging-interpolated maps, and Bland-Altman statistics. The experiments were conducted in 2013 and 2014 on two soils, i.e. loam silt in Braszowice (Poland) and clay silt loam in Pust\uffc3\uffa9 Jakartice (Czech Republic) under a cross-border cooperation project. The organic materials included compost from manure, slurry, and straw (Ag), industrial organic compost from sewage sludge (Ra), animal meal from animal by-products (Mb), and digestate from a biogas fries factory (Dg). The following 3 application rates of each EOM were adjusted according to the reference 100%\uffe2\uff80\uff89=\uffe2\uff80\uff89200\uffe2\uff80\uff89kg\uffe2\uff80\uff89N ha\uffe2\uff88\uff921: 50 (50% N from EOM and 50% mineral N), 75 (75% N from EOM and 25% mineral N), and 100 (100% N from EOM). 100% mineral N was applied on control plots. All treatments were carried out in 4 replicates. The linear regressions between the EOM application rates and the maize yield were in general ascending in the Braszowice soil and descending in the more productive Pust\uffc3\uffa9 Jakartice soil. The spatial kriging-interpolated maps allowed separating zones of lower and higher yields with EOMs compared to the control. They were attributed in part to the different EOM application rates and soil water contents. The Bland-Altaman statistics showed that addition of 50% of N from EOMs in 2013 caused a decrease and an increase in the maize grain yield in Braszowice and Pust\uffc3\uffa9 Jakartice, respectively, whereas the inverse was true with the 75 and 100% EOM additions. In 2014, the yield of maize for silage increased with the increasing EOM application rate in Braszowice and decreased in Pust\uffc3\uffa9 Jakartice, but it was smaller on all EOM-amended plots than in the control. As shown by the limits of agreement lines, the maize yields were more even in Pust\uffc3\uffa9 Jakartice than Braszowice. These results provide helpful information for selection of the most yield-producing EOM rates depending on the site soil conditions and prevalent weather conditions.

Accelerated soil erosion by water has many offsite impacts on the municipal infrastructure. This paper discusses how to easily detect potential risk points around municipalities by simple spatial analysis using GIS. In the Czech Republic, the WaTEM/SEDEM model is verified and used in large scale studies to assess sediment transports. Instead of computing actual sediment transports in river systems, WaTEM/SEDEM has been innovatively used in high spatial detail to define indices of sediment flux from small contributing areas. Such an approach has allowed for the modeling of sediment fluxes in contributing areas with above 127,484 risk points, covering the entire Czech Republic territory. Risk points are defined as outlets of contributing areas larger than 1 ha, wherein the surface runoff goes into residential areas or vulnerable bodies of water. Sediment flux indices were calibrated by conducting terrain surveys in 4 large watersheds and splitting the risk points into 5 groups defined by the intensity of sediment transport threat. The best sediment flux index resulted from the correlation between the modeled total sediment input in a 100 m buffer zone of the risk point and the field survey data (R2 from 0.57 to 0.91 for the calibration watersheds). Correlation analysis and principal component analysis (PCA) of the modeled indices and their relation to 11 lumped characteristics of the contributing areas were computed (average K-factor; average R-factor; average slope; area of arable land; area of forest; area of grassland; total watershed area; average planar curvature; average profile curvature; specific width; stream power index). The comparison showed that for risk definition the most important is a combination of morphometric characteristics (specific width and stream power index), followed by watershed area, proportion of grassland, soil erodibility, and rain erosivity (described by PC2).

", "keywords": ["soil erosion", "PCA analysis", "residential areas", "RUSLE (Revised Universal Soil Loss Equation)", "watershed characteristics", "04 agricultural and veterinary sciences", "Residential areas", "15. Life on land", "6. Clean water", "total soil loss", "13. Climate action", "11. Sustainability", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "sediment flux", "Sediment flux", "WaTEM/SEDEM", "Watershed characteristics", "Total soil loss", "Czech Republic"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1787/pdf"}, {"href": "https://doi.org/3037981509"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3037981509", "name": "item", "description": "3037981509", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3037981509"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-23T00:00:00Z"}}, {"id": "3057756468", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:25:55Z", "type": "Journal Article", "created": "2020-08-17", "title": "Verifiable soil organic carbon modelling to facilitate regional reporting of cropland carbon change: A test case in the Czech Republic", "description": "Regional monitoring, reporting and verification of soil organic carbon change occurring in managed cropland are indispensable to support carbon-related policies. Rapidly evolving gridded agronomic models can facilitate these efforts throughout Europe. However, their performance in modelling soil carbon dynamics at regional scale is yet unexplored. Importantly, as such models are often driven by large-scale inputs, they need to be benchmarked against field experiments. We elucidate the level of detail that needs to be incorporated in gridded models to robustly estimate regional soil carbon dynamics in managed cropland, testing the approach for regions in the Czech Republic. We first calibrated the biogeochemical Environmental Policy Integrated Climate (EPIC) model against long-term experiments. Subsequently, we examined the EPIC model within a top-down gridded modelling framework constructed for European agricultural soils from Europe-wide datasets and regional land-use statistics. We explored the top-down, as opposed to a bottom-up, modelling approach for reporting agronomically relevant and verifiable soil carbon dynamics. In comparison with a no-input baseline, the regional EPIC model suggested soil carbon changes (~0.1-0.5\u00a0Mg\u00a0C ha-1 y-1) consistent with empirical-based studies for all studied agricultural practices. However, inaccurate soil information, crop management inputs, or inappropriate model calibration may undermine regional modelling of cropland management effect on carbon since each of the three components carry uncertainty (~0.5-1.5\u00a0Mg\u00a0C ha-1 y-1) that is substantially larger than the actual effect of agricultural practices relative to the no-input baseline. Besides, inaccurate soil data obtained from the background datasets biased the simulated carbon trends compared to observations, thus hampering the model's verifiability at the locations of field experiments. Encouragingly, the top-down agricultural management derived from regional land-use statistics proved suitable for the estimation of soil carbon dynamics consistently with actual field practices. Despite sensitivity to biophysical parameters, we found a robust scalability of the soil organic carbon routine for various climatic regions and soil types represented in the Czech experiments. The model performed better than the tier 1 methodology of the Intergovernmental Panel on Climate Change, which indicates a great potential for improved carbon change modelling over larger political regions.", "keywords": ["Crops", " Agricultural", "Europe", "2. Zero hunger", "Soil", "550", "13. Climate action", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Carbon", "Czech Republic"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/16641/1/1-s2.0-S0301479720311312-main.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/16641/1/1-s2.0-S0301479720311312-main.pdf"}, {"href": "https://doi.org/3057756468"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3057756468", "name": "item", "description": "3057756468", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3057756468"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-01T00:00:00Z"}}, {"id": "3168720576", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-01T16:26:03Z", "type": "Journal Article", "created": "2021-06-06", "title": "Long\u2010term changes in drought indices in eastern and central Europe", "description": "Abstract

This study analyses long\uffe2\uff80\uff90term changes in drought indices (Standardised Precipitation Index\uffe2\uff80\uff94SPI, Standardised Precipitation\uffe2\uff80\uff93Evapotranspiration Index\uffe2\uff80\uff94SPEI) at 1 and 3\uffe2\uff80\uff89months scales at 182 stations in 11 central and eastern European countries during 1949\uffe2\uff80\uff932018. For comparative purposes, the necessary atmospheric evaporative demand (AED) to obtain SPEI was calculated using two methods, Hargreaves\uffe2\uff80\uff90Samani (SPEIH) and Penman\uffe2\uff80\uff90Monteith (SPEIP). The results show some relevant changes and tendencies in the drought indices. Statistically significant increase in SPI and SPEI during the cold season (November\uffe2\uff80\uff93March), reflecting precipitation increase, was found in the northern part of the study region, in Estonia, Latvia, Lithuania, northern Belarus and northern Poland. In the rest of study domain, a weak and mostly insignificant decrease prevailed in winter. Summer season (June\uffe2\uff80\uff93August) is characterized by changes in the opposite sign. An increase was observed in the north, while a clear decrease in SPEI, reflecting a drying trend, was typical for the southern regions: the Czech Republic, Slovakia, Hungary, Romania, Moldova and southern Poland. A general drying tendency revealed also in April, which was statistically significant over a wide area in the Czech Republic and Poland. Increasing trends in SPI and SPEI for September and October were detected in Romania, Moldova and Hungary. The use of SPEI instead of SPI generally enhances drying trends.Knowledge on spatial distribution of crop yield in relation to fixed soil fertilisation with exogenous organic materials is essential for improving precise crop and soil management practices within a field. This study assessed the effect of various application rates and types of exogenous (recycled) organic materials (EOMs) containing different organic matter and nitrogen contents vs. mineral nitrogen on the yield of maize by means of linear regressions (trends), spatial kriging-interpolated maps, and Bland-Altman statistics. The experiments were conducted in 2013 and 2014 on two soils, i.e. loam silt in Braszowice (Poland) and clay silt loam in Pust\uffc3\uffa9 Jakartice (Czech Republic) under a cross-border cooperation project. The organic materials included compost from manure, slurry, and straw (Ag), industrial organic compost from sewage sludge (Ra), animal meal from animal by-products (Mb), and digestate from a biogas fries factory (Dg). The following 3 application rates of each EOM were adjusted according to the reference 100%\uffe2\uff80\uff89=\uffe2\uff80\uff89200\uffe2\uff80\uff89kg\uffe2\uff80\uff89N ha\uffe2\uff88\uff921: 50 (50% N from EOM and 50% mineral N), 75 (75% N from EOM and 25% mineral N), and 100 (100% N from EOM). 100% mineral N was applied on control plots. All treatments were carried out in 4 replicates. The linear regressions between the EOM application rates and the maize yield were in general ascending in the Braszowice soil and descending in the more productive Pust\uffc3\uffa9 Jakartice soil. The spatial kriging-interpolated maps allowed separating zones of lower and higher yields with EOMs compared to the control. They were attributed in part to the different EOM application rates and soil water contents. The Bland-Altaman statistics showed that addition of 50% of N from EOMs in 2013 caused a decrease and an increase in the maize grain yield in Braszowice and Pust\uffc3\uffa9 Jakartice, respectively, whereas the inverse was true with the 75 and 100% EOM additions. In 2014, the yield of maize for silage increased with the increasing EOM application rate in Braszowice and decreased in Pust\uffc3\uffa9 Jakartice, but it was smaller on all EOM-amended plots than in the control. As shown by the limits of agreement lines, the maize yields were more even in Pust\uffc3\uffa9 Jakartice than Braszowice. These results provide helpful information for selection of the most yield-producing EOM rates depending on the site soil conditions and prevalent weather conditions.