{"type": "FeatureCollection", "features": [{"id": "10.1007/978-3-319-53498-5_74", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:04Z", "type": "Report", "created": "2017-06-10", "title": "Review on the Methods for Evaluation of Root Reinforcement in Shallow Landslides", "description": "Open image in new window Recently geotechnical engineers aim to adopt more environmental-friendly solutions (not harmful to the environment), therefore the interest on the use of vegetation as a measure to improve slope stability is increasing. The mechanical reinforcement due to roots against shallow landslides occurs when the fibres intersect the shear surface, usually at depths lower than 2 m. In the literature, the presence of roots is often taken into account by modelling the soil as an equivalent composite material: \u2018the root-permeated soil\u2019, by including an additional cohesion term in the Mohr-Coulomb equation. The models used to estimate the root additional cohesion are presented in the first part of the paper. In some cases, root cohesion is calculated based on the resistant properties of the fibres and assuming an order for the progressive roots failure, either breaking, slipping out or buckling. On the other hand, some authors used structural models of the roots investigating not only the stresses in the roots, but also in the surrounding soil to obtain a better estimation of the root cohesion. In the second part of the paper, the calculation of the root reinforcement is used to assess the safety factor (SF) of the slope. Both Limit Equilibrium analyses (LE) and Finite Element Methods (FEM) are discussed, stressing the limitations of both the approaches.", "keywords": ["Root mechanical reinforcement", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Root cohesion", "Slope stability", "[SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics", " Phylogenetics and taxonomy", "Shallow landslides", "[SDV.EE.ECO] Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "01 natural sciences", "[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.iris.unina.it/bitstream/11588/697661/1/10.1007%252F978-3-319-53498-5_74.pdf"}, {"href": "http://link.springer.com/content/pdf/10.1007/978-3-319-53498-5"}, {"href": "http://link.springer.com/content/pdf/10.1007/978-3-319-53498-5_74"}, {"href": "https://doi.org/10.1007/978-3-319-53498-5_74"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-3-319-53498-5_74", "name": "item", "description": "10.1007/978-3-319-53498-5_74", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-3-319-53498-5_74"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-01T00:00:00Z"}}, {"id": "10.1016/j.still.2008.10.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:04Z", "type": "Journal Article", "created": "2008-12-17", "title": "Assessment Of Tillage Erosion Rates On Steep Slopes In Northern Laos", "description": "Abstract   In the hills of south-east Asia shifting cultivation is developing towards more permanent cropping systems. In association with short fallow periods, fields suffer from weed pressure and this, in turn, leads to more frequent and deeper manual tillage. Due to steep slopes these operations induce tillage erosion. Measurements of such soil losses under on-farm conditions are still scarce. In this study tillage erosion was assessed and a predictive model of tillage erosion was established based on slope angle and contact cover, i.e. basal crop area and weed cover. The experiments were conducted in the Houay Pano, Northern Laos. The farmers cultivate annual crops in rotation with 1\u20133 year fallow periods without external inputs and using only hand tools. Tillage erosion was assessed using the tracer method across nine slope classes (0.30\u20131.10\u00a0m\u00a0m \u22121 ) for two crops, upland rice and Job's tears ( Coix lacryma-jobi  L.). Soil movement due to land preparation and weeding were assessed separately because different tools are used, a medium size hoe and a small curved hoe. A multivariate regression showed a highly significant relation ( R  2 \u00a0=\u00a00.83) between soil losses due to land preparation, slope gradient and contact cover. Predicting models of soil losses due to weeding were also highly significant ( R  2 \u00a0=\u00a00.79 for upland rice,  R  2 \u00a0=\u00a00.88 for Job's tears), confirming the importance of tillage erosion on steep slopes (4, 6 and 11\u00a0t\u00a0ha \u22121 \u00a0year \u22121  on slopes with gradients of 0.30, 0.60 and 0.90\u00a0m\u00a0m \u22121 , respectively). Tillage erosion has increased exponentially over the last 40 years because of weed invasion associated with short fallow periods; the initially no-till system has changed into a system heavily dependent on tillage to control weeds and this greatly contributes to soil degradation.", "keywords": ["subsistence farming", "2. Zero hunger", "weed control", "Upland rice", "sloping land", "04 agricultural and veterinary sciences", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "erosion", "shifting cultivation", "Weed pressure", "01 natural sciences", "630", "Tillage erosion", "Steep slopes", "upland rice", "Job's tears", "tillage", "Shifting cultivation", "0401 agriculture", " forestry", " and fisheries", "farming systems", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2008.10.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2008.10.005", "name": "item", "description": "10.1016/j.still.2008.10.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2008.10.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-04-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2008.06.004", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:11Z", "type": "Journal Article", "created": "2008-07-14", "title": "Runoff And Sediment Losses From 27 Upland Catchments In Southeast Asia: Impact Of Rapid Land Use Changes And Conservation Practices", "description": "Rapid changes in upland farming systems in Southeast Asia generated predominantly by increased population pressure and 'market forces' have resulted in widespread land degradation that has been well documented at the plot scale. Yet, the links between agricultural activities in the uplands and downstream off-site effects remain largely unknown because of the difficulties in transferring results from plots to a larger scale. Many authors have thus pointed out the need for long-term catchment studies. The objective of this paper is to summarize the results obtained by the Management of Soil Erosion Consortium (MSEC) over the last 5 years from 27 catchments in five countries (Indonesia, Laos, Philippines, Thailand, and Vietnam). The purpose of the study was to assess the impacts of cultivation practices on annual runoff and erosion rates. Initial surveys in each catchment included topography, soils and land use. Monitoring included climatic, hydrologic and erosion (total sediment yield including bed load and suspended sediment load) data, land use and crop yields, and farmers' income. In addition, new land management options were introduced through consultations with farmers and evaluated in terms of runoff and erosion. These included tree plantations, fruit trees, improved fallow with legumes, maize intercropped with legumes, planted fodder, native grass strips and agro-ecological practices (direct sowing and mulch-based conservation agriculture). Regressions analyses showed that runoff during the rainy season, and normalized runoff flow coefficient based on erosive rainfall during the rainy season (rainfall with intensity exceeding 25 mm h(-1)) increase with the percentage of the catchment covered by maize. Both variables decrease with increasing soil depth, standard deviation of catchment slope (that reflects terrain roughness), and the percentages of the catchment covered by fallow (regular and improved), tree plantations and planted fodder. The best predictors of sediment yield were the surface percentages of maize, Job's tears, cassava and footpaths. The main conclusions generated from this study were: (i) soil erosion is predominantly influenced by land use rather than environmental characteristics not only at the plot scale but also at the catchment scale; (ii) slash-and-burn shifting cultivation with sufficiently long rotations (I year of cultivation, 8 years of fallow) is too often unjustly blamed for degradation; (iii) in its place, continuous cropping of maize and cassava promotes high rates of soil erosion at the catchment scale; (iv) conservation technologies are efficient in reducing runoff and total sediment yield at the catchment scale; (v) the adoption of improved soil management technologies by upland farmers is not a function of the degree of intensification of their farming system and/or of their incomes. The results suggest that if expansion of maize and cassava into already degraded upland systems were to occur due to increased demand for biofuels, there is a risk of higher runoff and sediment generation. A failure to adopt appropriate land use management strategies will result in further rapid resource degradation with negative impacts to downstream communities.", "keywords": ["550", "runoff", "sloping land", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "910", "maize", "01 natural sciences", "cassava", "630", "upland rice", "catchment areas", "farming systems", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "0105 earth and related environmental sciences", "2. Zero hunger", "Cassava", "land use", "Upland rice", "soil conservation", "04 agricultural and veterinary sciences", "15. Life on land", "erosion", "shifting cultivation", "6. Clean water", "Maize", "Steep slopes", "13. Climate action", "Soil erosion", "Shifting cultivation", "0401 agriculture", " forestry", " and fisheries", "sedimentation"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2008.06.004"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2008.06.004", "name": "item", "description": "10.1016/j.agee.2008.06.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2008.06.004"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-12-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2021.105818", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:39Z", "type": "Journal Article", "created": "2021-11-13", "title": "An optimized method for extracting slope length in RUSLE from raster digital elevation", "description": "Abstract   The Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) have been widely used for predicting average soil loss. Slope length is an important topographical parameter of the L factor in USLE/RUSLE. Among the widely studied GIS procedures for extracting slope length, the distributed watershed erosion slope length (DWESL) based on the unit contributing area estimation method, which considers two-dimensional runoff process and cutoff factors, is a relatively complete model for calculating slope length. Slope length in the DWESL model is primarily calculated using conventional flow direction algorithms such as D8, Dinf, MS and MFD-md. However, DWESL outputs require further improvement due to the errors in the usual estimates of the uphill contributing area and the effective contour length of discrete elements. Combined with a theoretical differential equation of specific catchment area on hillsides, the calculation of the DWESL model was optimized without estimating the uphill contributing area or the effective contour length for each cell. The proposed integration method based on the topographical features slope line, contour curvature and cutoff factors (ITF method) was used to extract slope length from the raster digital elevation. Slope length extracted using the ITF method had the smallest error in verification of mathematical surfaces (average RRMSE \u00a0=\u00a00.0573), and its spatial distribution was more consistent with the structure of the terrain surface for all test data, relative to the conventional flow direction algorithms in the original DWESL model. The proposed ITF method could provide a reference for predicting soil erosion using the USLE/RUSLE model.", "keywords": ["Slope Length", "Soil erosion", "0211 other engineering and technologies", "0401 agriculture", " forestry", " and fisheries", "RUSLE", "Terrain analysis", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "GIS"]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2021.105818"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2021.105818", "name": "item", "description": "10.1016/j.catena.2021.105818", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2021.105818"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "10.1016/j.compgeo.2020.103754", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:42Z", "type": "Journal Article", "created": "2020-08-11", "title": "Mathematical and computational modelling of vegetated soil incorporating hydraulically-driven finite strain deformation", "description": "Abstract   In this paper a new model for the hydro-mechanical behaviour of rooted soils is developed. It is a physically-based model that couples finite strain soil deformation with unsaturated water and air flow, while improving on existing cohesion-based approaches to mechanical root reinforcement and empirical soil water-uptake approaches typically used to deal with rooted slopes. The model is used to show that the dynamics of soil-water pressure and soil deformation depend strongly on the physics of the root-water uptake and the elasto-plastic soil mechanics. Root water uptake can cause suctions and corresponding soil shrinkage sufficiently large to necessitate a finite-strain approach. Although this deformation can change the intrinsic permeability, hydraulic conductivity remains dominated by the water content. The model incorporates simultaneous air-flow, but this is shown to be unimportant for soil-water dynamics under the conditions assumed in example simulations. The mechanical action of roots is incorporated via a root stress tensor and a simulation is used to show how root tension is mobilised within a swelling soil. The developed model may be used to simulate both laboratory experiments and full-scale vegetated slopes.", "keywords": ["/dk/atira/pure/subjectarea/asjc/1900/1909", "name=Geotechnical Engineering and Engineering Geology", "/dk/atira/pure/subjectarea/asjc/1700/1706", "550", "Vegetated soil", "0211 other engineering and technologies", "Large-strain", "04 agricultural and veterinary sciences", "02 engineering and technology", "name=Computer Science Applications", "15. Life on land", "Roots", "510", "Slope", "Landslide", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://eprints.soton.ac.uk/442810/1/Woodman_et_al_revised_June20PURE.pdf"}, {"href": "https://doi.org/10.1016/j.compgeo.2020.103754"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20and%20Geotechnics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.compgeo.2020.103754", "name": "item", "description": "10.1016/j.compgeo.2020.103754", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.compgeo.2020.103754"}, {"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": "10.1016/j.ecoleng.2017.08.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:45Z", "type": "Journal Article", "created": "2017-11-27", "title": "Sensitivity of the landslide model LAPSUS_LS to vegetation and soil parameters", "description": "Open Access\u0625\u0646 \u062a\u0623\u062b\u064a\u0631 \u0627\u0644\u063a\u0637\u0627\u0621 \u0627\u0644\u0646\u0628\u0627\u062a\u064a \u0639\u0644\u0649 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u0645\u0641\u0647\u0648\u0645 \u062c\u064a\u062f\u064b\u0627 \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a\u060c \u0644\u0643\u0646 \u0627\u0644\u0627\u0631\u062a\u0642\u0627\u0621 \u0625\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0645\u0633\u062a\u062c\u0645\u0639\u0627\u062a \u0627\u0644\u0645\u064a\u0627\u0647 \u0644\u0627 \u064a\u0632\u0627\u0644 \u064a\u0645\u062b\u0644 \u062a\u062d\u062f\u064a\u064b\u0627\u060c \u0648\u064a\u0631\u062c\u0639 \u0630\u0644\u0643 \u062c\u0632\u0626\u064a\u064b\u0627 \u0625\u0644\u0649 \u0646\u0642\u0635 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u0646\u0627\u0633\u0628\u0629 \u0644\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0627\u0644\u0646\u0645\u0627\u0630\u062c. \u0627\u062e\u062a\u0628\u0631\u0646\u0627 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u0647\u064a\u0627\u0631\u0627\u062a \u0627\u0644\u0623\u0631\u0636\u064a\u0629 \u0627\u0644\u0645\u0627\u062f\u064a\u0629\u060c LAPSUS_LS\u060c \u0627\u0644\u0630\u064a \u064a\u0635\u0645\u0645 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0639\u0644\u0649 \u0645\u0642\u064a\u0627\u0633 \u0645\u0633\u062a\u062c\u0645\u0639\u0627\u062a \u0627\u0644\u0645\u064a\u0627\u0647. \u062a\u062c\u0645\u0639 LAPSUS_LS \u0628\u064a\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0647\u064a\u062f\u0631\u0648\u0644\u0648\u062c\u064a \u0648\u0646\u0645\u0648\u0630\u062c \u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062a\u0648\u0627\u0632\u0646 \u0627\u0644\u062d\u062f\u064a\u060c \u0648\u062a\u062d\u0633\u0628 \u0639\u0627\u0645\u0644 \u0633\u0644\u0627\u0645\u0629 \u0627\u0644\u062e\u0644\u0627\u064a\u0627 \u0627\u0644\u0641\u0631\u062f\u064a\u0629 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u062e\u0635\u0627\u0626\u0635\u0647\u0627 \u0627\u0644\u0647\u064a\u062f\u0631\u0648\u0644\u0648\u062c\u064a\u0629 \u0648\u0627\u0644\u062c\u064a\u0648\u0645\u0648\u0631\u0641\u0648\u0644\u0648\u062c\u064a\u0629. \u0627\u062e\u062a\u0628\u0631\u0646\u0627 \u0646\u0648\u0639\u064a\u0646 \u0645\u0646 \u0627\u0644\u0646\u0628\u0627\u062a\u0627\u062a \u0639\u0644\u0649 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a: (1) \u0632\u0631\u0627\u0639\u0629 \u0627\u0644\u0642\u0647\u0648\u0629 \u0627\u0644\u0623\u062d\u0627\u062f\u064a\u0629 (\u0627\u0644\u0642\u0647\u0648\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629) \u0648 (2) \u0632\u0631\u0627\u0639\u0629 \u0645\u062e\u062a\u0644\u0637\u0629 \u0644\u0644\u0628\u0646 \u0648\u062a\u062c\u0630\u064a\u0631 \u0639\u0645\u064a\u0642 \u0644\u0623\u0634\u062c\u0627\u0631 \u0627\u0644\u0625\u0631\u064a\u062b\u0631\u064a\u0646\u0627 (\u0627\u0644\u0625\u0631\u064a\u062b\u0631\u064a\u0646\u0627 \u0628\u0648\u0628\u064a\u062c\u064a\u0627\u0646\u0627). \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u0631\u0628\u0629 \u0648\u0627\u0644\u062c\u0630\u0631 \u0645\u0646 \u0643\u0648\u0633\u062a\u0627\u0631\u064a\u0643\u0627\u060c \u0623\u062c\u0631\u064a\u0646\u0627 \u0639\u0645\u0644\u064a\u0627\u062a \u0645\u062d\u0627\u0643\u0627\u0629 \u0644\u0627\u062e\u062a\u0628\u0627\u0631 \u0627\u0633\u062a\u062c\u0627\u0628\u0629 LAPSUS_LS \u0644\u062a\u0642\u0648\u064a\u0629 \u0627\u0644\u062c\u0630\u0631 \u0648\u0643\u062b\u0627\u0641\u0629 \u0643\u062a\u0644\u0629 \u0627\u0644\u062a\u0631\u0628\u0629 \u0648\u0627\u0644\u0627\u0646\u062a\u0642\u0627\u0644 \u0648\u0632\u0627\u0648\u064a\u0629 \u0627\u0644\u0627\u062d\u062a\u0643\u0627\u0643 \u0627\u0644\u062f\u0627\u062e\u0644\u064a \u0648\u0639\u0645\u0642 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0642\u0635. \u0639\u0644\u0627\u0648\u0629 \u0639\u0644\u0649 \u0630\u0644\u0643\u060c \u0642\u0645\u0646\u0627 \u0628\u062a\u0639\u062f\u064a\u0644 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u064a\u0634\u0645\u0644 \u062a\u0623\u062b\u064a\u0631 \u0627\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0625\u0636\u0627\u0641\u064a\u0629 \u0644\u0644\u0643\u062a\u0644\u0629 \u0627\u0644\u062d\u064a\u0648\u064a\u0629 \u0641\u064a \u0627\u0644\u062d\u0633\u0627\u0628\u0627\u062a. \u062a\u0638\u0647\u0631 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0623\u0646 LAPSUS_LS \u0643\u0627\u0646 \u0623\u0643\u062b\u0631 \u062d\u0633\u0627\u0633\u064a\u0629 \u0644\u0644\u062a\u063a\u064a\u0631\u0627\u062a \u0641\u064a \u0627\u0644\u062a\u0645\u0627\u0633\u0643 \u0627\u0644\u0625\u0636\u0627\u0641\u064a \u0645\u0646 \u0627\u0644\u062c\u0630\u0648\u0631. \u0639\u0646\u062f\u0645\u0627 \u062a\u0645 \u062a\u062b\u0628\u064a\u062a \u0639\u0645\u0642 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0642\u0635 \u0639\u0646\u062f 1.0 \u0645\u062a\u0631\u060c \u0644\u0645 \u062a\u0643\u0646 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u063a\u064a\u0631 \u0645\u0633\u062a\u0642\u0631\u0629. \u0648\u0645\u0639 \u0630\u0644\u0643\u060c \u0639\u0646\u062f\u0645\u0627 \u062a\u0645 \u062a\u062b\u0628\u064a\u062a \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0642\u0635 \u0639\u0644\u0649 1.5 \u0645\u062a\u0631\u060c \u0627\u0633\u062a\u0642\u0631\u062a \u0627\u0644\u0632\u0631\u0627\u0639\u0629 \u0627\u0644\u0645\u062e\u062a\u0644\u0637\u0629 \u0644\u0644\u0628\u0646 \u0648\u0627\u0644\u0623\u0634\u062c\u0627\u0631 \u0639\u0644\u0649 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a\u060c \u0644\u0643\u0646 \u0627\u0644\u0632\u0631\u0627\u0639\u0629 \u0627\u0644\u0623\u062d\u0627\u062f\u064a\u0629 \u0644\u0644\u0628\u0646 \u0643\u0627\u0646\u062a \u063a\u064a\u0631 \u0645\u0633\u062a\u0642\u0631\u0629 \u0644\u0644\u063a\u0627\u064a\u0629\u060c \u0644\u0623\u0646 \u062a\u0642\u0648\u064a\u0629 \u0627\u0644\u062c\u0630\u0631 \u0643\u0627\u0646\u062a \u0645\u0646\u062e\u0641\u0636\u0629 \u0639\u0644\u0649 \u0639\u0645\u0642 1.5 \u0645\u062a\u0631. \u0643\u0627\u0646 \u0644\u0646\u0642\u0644 \u0627\u0644\u062a\u0631\u0628\u0629 \u062a\u0623\u062b\u064a\u0631 \u0645\u062d\u062f\u0648\u062f \u0639\u0644\u0649 \u0627\u0644\u0646\u062a\u0627\u0626\u062c \u0645\u0642\u0627\u0631\u0646\u0629 \u0628\u0627\u0644\u0643\u062b\u0627\u0641\u0629 \u0627\u0644\u0633\u0627\u0626\u0628\u0629 \u0648\u0632\u0627\u0648\u064a\u0629 \u0627\u0644\u0627\u062d\u062a\u0643\u0627\u0643 \u0627\u0644\u062f\u0627\u062e\u0644\u064a. \u0644\u0645 \u064a\u0643\u0646 \u0644\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0625\u0636\u0627\u0641\u064a\u0629 \u0644\u0644\u0643\u062a\u0644\u0629 \u0627\u0644\u062d\u064a\u0648\u064a\u0629 \u0623\u064a \u062a\u0623\u062b\u064a\u0631 \u0643\u0628\u064a\u0631 \u0639\u0644\u0649 \u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0643\u0627\u0629. \u0641\u064a \u0627\u0644\u062e\u062a\u0627\u0645\u060c \u0627\u0633\u062a\u062c\u0627\u0628\u062a LAPSUS_LS \u0628\u0634\u0643\u0644 \u062c\u064a\u062f \u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0645\u062f\u062e\u0644\u0627\u062a \u0627\u0644\u062a\u0631\u0628\u0629 \u0648\u0627\u0644\u063a\u0637\u0627\u0621 \u0627\u0644\u0646\u0628\u0627\u062a\u064a\u060c \u0648\u0647\u064a \u0645\u0631\u0634\u062d \u0645\u0646\u0627\u0633\u0628 \u0644\u0646\u0645\u0630\u062c\u0629 \u0627\u0633\u062a\u0642\u0631\u0627\u0631 \u0627\u0644\u0645\u0646\u062d\u062f\u0631\u0627\u062a \u0627\u0644\u0646\u0628\u0627\u062a\u064a\u0629 \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0645\u0633\u062a\u062c\u0645\u0639\u0627\u062a \u0627\u0644\u0645\u064a\u0627\u0647.", "keywords": ["Cohesion (chemistry)", "http://aims.fao.org/aos/agrovoc/c_27199", "http://aims.fao.org/aos/agrovoc/c_4915", "F08 - Syst\u00e8mes et modes de culture", "[SDV]Life Sciences [q-bio]", "culture associ\u00e9e", "http://aims.fao.org/aos/agrovoc/c_1920", "FOS: Mechanical engineering", "Organic chemistry", "Plant Science", "02 engineering and technology", "Erythrina poeppigiana", "01 natural sciences", "630", "Mechanical Effects of Plant Roots on Slope Stability", "stabilisation du sol", "Agricultural and Biological Sciences", "Soil", "monoculture", "Engineering", "enracinement", "couverture du sol", "m\u00e9thode statistique", "Pathology", "Monoculture", "http://aims.fao.org/aos/agrovoc/c_1721", "http://aims.fao.org/aos/agrovoc/c_2018", "http://aims.fao.org/aos/agrovoc/c_24199", "http://aims.fao.org/aos/agrovoc/c_35927", "U10 - Informatique", " math\u00e9matiques et statistiques", "Susceptibility Mapping", "Life Sciences", "Hydrology (agriculture)", "Geology", "Coffea arabica", "[SDV] Life Sciences [q-bio]", "Chemistry", "Landslide", "Plant Responses to Flooding Stress", "Slope Stability", "Physical Sciences", "http://aims.fao.org/aos/agrovoc/c_6649", "Medicine", "Vegetation (pathology)", "http://aims.fao.org/aos/agrovoc/c_7377", "http://aims.fao.org/aos/agrovoc/c_7171", "0207 environmental engineering", "Soil Science", "Management", " Monitoring", " Policy and Law", "Transmissivity", "Environmental science", "mod\u00e8le math\u00e9matique", "FOS: Mathematics", "http://aims.fao.org/aos/agrovoc/c_12676", "http://aims.fao.org/aos/agrovoc/c_37897", "Landslide Hazards and Risk Assessment", "pratique culturale", "Biology", "0105 earth and related environmental sciences", "P36 - \u00c9rosion", " conservation et r\u00e9cup\u00e9ration des sols", "Soil science", "montagne", "Mechanical Engineering", "Slope stability", "Modeling", "Botany", "FOS: Earth and related environmental sciences", "15. Life on land", "Roots", "Bulk density", "Agronomy", "Geotechnical engineering", "13. Climate action", "Environmental Science", "Cohesion", "Mathematics"]}, "links": [{"href": "https://doi.org/10.1016/j.ecoleng.2017.08.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecoleng.2017.08.010", "name": "item", "description": "10.1016/j.ecoleng.2017.08.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecoleng.2017.08.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.ecoleng.2024.107487", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:46Z", "type": "Journal Article", "created": "2024-12-13", "title": "Comparative geotechnical analysis of slope stabilization through conventional, soil and water bioengineering, and combined solutions", "description": "The sustainable mitigation of hydrogeological hazard through the geotechnical stabilization of natural and artificial slopes is an ethical and technical goal of increasing global relevance. In this context, \u201cgray\u201d geotechnical stabilization solutions involving the use of inert materials, injections of cement mixtures and steel elements, have been prevalently used in the past decades and have thus come to define the present \u201cconventional\u201d approach. These solutions may meet engineering performance criteria but are unable to attain desirable sustainability standards. The practice of Soil and Water BioEngineering (SWBE) draws from ancient empirical experience and is rapidly gaining new momentum due to the increased focus on environmental protection and requalification. SWBE and can be effectively conducted through the design and implementation of nature-based solutions (NBS) by using living plants, alone or in combination with locally available materials, to improve the engineering performance of ecosystems while fostering an increase in their biodiversity and environmental value. The domain of applicability of NBS is limited to quasi-surficial instability phenomena, since the root systems which provide resistance to destabilizing forces are found mainly at shallow depths from ground surface. Moreover, biological and physical processes intervening in NBS result in the temporal variation of their mechanical resistance and engineering performance. \u201cCombined\u201d solutions involving the presence of \u2013 and synergy between - gray and green solutions may ensure the simultaneous attainment of safety and sustainability. This paper describes the conceptual standpoints and operational framework used for the comparative assessment of the engineering design performance of conventional, NBS, and combined solutions for a slope stabilization intervention on a site located near Florence, Italy. Stability is assessed quantitatively through limit equilibrium methods for multiple scenarios defined in terms of technological solutions, temporal stage, and level of engineering conservatism in design parameters. Temporal trends of the factors of safety against sliding are defined statistically and assessed qualitatively and quantitatively. The comparative analysis suggests that the combined solution provides the best option at the Montisoni site as it ensures sufficient short-terms, post-stabilization stability as well as increased stability overtime due to the improvement in the mechanical contribution of NBS components. The paper brings innovative contributions with respect to the equivalent geomechanical modeling of NBS and combined solutions in limit-equilibrium analyses and to the discussion of criteria to be considered in the assignment of design values in stability analyses.", "keywords": ["Geotechnical engineering; Bio-geotechnics; Slope stability; Soil and water bioengineering; Nature-based solutions; Statistics"]}, "links": [{"href": "https://flore.unifi.it/bitstream/2158/1403973/1/Uzielli%20et%20al.%202024%20-%20Comparative%20geotechnical%20analysis%20of%20slope%20stabilization.pdf"}, {"href": "https://doi.org/10.1016/j.ecoleng.2024.107487"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecoleng.2024.107487", "name": "item", "description": "10.1016/j.ecoleng.2024.107487", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecoleng.2024.107487"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-01T00:00:00Z"}}, {"id": "10.1111/gcb.13893", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:38Z", "type": "Journal Article", "created": "2017-09-06", "title": "Towards physiologically meaningful water-use efficiency estimates from eddy covariance data", "description": "Abstract<p>Intrinsic water\uffe2\uff80\uff90use efficiency (iWUE) characterizes the physiological control on the simultaneous exchange of water and carbon dioxide in terrestrial ecosystems. Knowledge of iWUE is commonly gained from leaf\uffe2\uff80\uff90level gas exchange measurements, which are inevitably restricted in their spatial and temporal coverage. Flux measurements based on the eddy covariance (EC) technique can overcome these limitations, as they provide continuous and long\uffe2\uff80\uff90term records of carbon and water fluxes at the ecosystem scale. However, vegetation gas exchange parameters derived from EC data are subject to scale\uffe2\uff80\uff90dependent and method\uffe2\uff80\uff90specific uncertainties that compromise their ecophysiological interpretation as well as their comparability among ecosystems and across spatial scales. Here, we use estimates of canopy conductance and gross primary productivity (GPP) derived from EC data to calculate a measure of iWUE (G1, \uffe2\uff80\uff9cstomatal slope\uffe2\uff80\uff9d) at the ecosystem level at six sites comprising tropical, Mediterranean, temperate, and boreal forests. We assess the following six mechanisms potentially causing discrepancies between leaf and ecosystem\uffe2\uff80\uff90level estimates of G1: (i) non\uffe2\uff80\uff90transpirational water fluxes; (ii) aerodynamic conductance; (iii) meteorological deviations between measurement height and canopy surface; (iv) energy balance non\uffe2\uff80\uff90closure; (v) uncertainties in net ecosystem exchange partitioning; and (vi) physiological within\uffe2\uff80\uff90canopy gradients. Our results demonstrate that an unclosed energy balance caused the largest uncertainties, in particular if it was associated with erroneous latent heat flux estimates. The effect of aerodynamic conductance on G1 was sufficiently captured with a simple representation. G1 was found to be less sensitive to meteorological deviations between canopy surface and measurement height and, given that data are appropriately filtered, to non\uffe2\uff80\uff90transpirational water fluxes. Uncertainties in the derived GPP and physiological within\uffe2\uff80\uff90canopy gradients and their implications for parameter estimates at leaf and ecosystem level are discussed. Our results highlight the importance of adequately considering the sources of uncertainty outlined here when EC\uffe2\uff80\uff90derived water\uffe2\uff80\uff90use efficiency is interpreted in an ecophysiological context.</p>", "keywords": ["550", "ecophysiology", "Penman\u2013Monteith equation", "0207 environmental engineering", "577", "slope parameter", "02 engineering and technology", "Forests", "Models", " Biological", "01 natural sciences", "Trees", "Water Cycle", "XXXXXX - Unknown", "eddy covariance", "energy imbalance", "analysis of covariance", "0105 earth and related environmental sciences", "intrinsic water-use efficiency", "Water", "eddy flux", "Plant Transpiration", "Carbon Dioxide", "15. Life on land", "aerodynamic conductance", "water efficiency", "Carbon", "6. Clean water", "canopy gradients", "surface conductance", "Plant Leaves", "13. Climate action", "ecosystems"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.13893"}, {"href": "https://doi.org/10.1111/gcb.13893"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.13893", "name": "item", "description": "10.1111/gcb.13893", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.13893"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-11T00:00:00Z"}}, {"id": "10.1594/pangaea.963212", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:44Z", "type": "Dataset", "title": "Stream water chemistry and landscape characteristics in Zackenberg Valley, NE Greenland summer 2021", "description": "The data contains water chemistry and spectral catchment NDVI for 14 streams in Zackenberg Valley in Northeast Greenland, sampled summer 2021 from 10th July to 15th September. We collected water samples for measuring water chemistry, and we determined landscape parameters using GIS based tools. The data was collected at three sampling periods in summer 2021 in the Zackenberg Research Station (74\u00b028'N, 20\u00b034'W). The area has a polar tundra climate with mean annual air temperature of -9.1 \u00b0C. Water chemistry (i.e. dissolved and particulate nitrogen, phosphorus, carbon; dissolved iron and silicate) and catchment characteristics (i.e. catchment area, altitude, slope, aspect, NDVI, snow cover) was measured for each of the 14 stream sites. Water chemistry samples were collected and analyzed using standard methods, and landscape characteristics were determined using GIS resources. The data was collected in order to study relationships between landscape characteristics and stream water chemistry. The water samples were collected by a team of two people, and the detailed methods are given below.", "keywords": ["inorganic", "median", "Nitrate Nitrogen", "Nitrogen", " inorganic", " dissolved/Nitrogen", " total dissolved ratio", "Nitrate", "Normalized Difference Vegetation Index", "Latitude of event", "Inductively Coupled Plasma Mass Spectrometry ICP MS", "Arctic", "Temperature", " water", "WTW", "Total organic carbon analyzer TOC VCPH TNM 1", "Total organic carbon analyzer (TOC-VCPH/TNM-1)", " Shimadzu", "Calculated", "dissolved ratio", "Nitrate/Nitrogen", " inorganic", " dissolved ratio", "total dissolved ratio", "Multiple investigations", "Temperature", "Nitrogen", " total dissolved", "Month", "dissolved", "specific", "streams", "6. Clean water", "Nitrogen", " inorganic", " dissolved", "Chemistry", "Inductively Coupled Plasma - Mass Spectrometry (ICP-MS)", " PerkinElmer Instruments", " Optima 2000 DV", "Sum cations", "Natural Sciences", "Ammonium", "Potassium Silicon ratio", "Calcium Magnesium ratio", "Conductivity Meter", " WTW", " ProfiLine Cond 3110", "Longitude of event", "Silicon", "Lachat QuickChem 8500 flow injection autoanalyser", "Nitrogen", "organic", "water chemistry", "Iron", "Calcium/Magnesium ratio", "water", "Site", "Nitrate/Ammonium ratio", "Aspect", "Normalized Differenced Vegetation Index", " median", "Ammonium Nitrogen", "Normalized Differenced Vegetation Index", "Catchment area", "Slope", "PerkinElmer Instruments", "ProfiLine Cond 3110", "Shimadzu", "Date/Time of event", "Conductivity Meter", "Nitrate Ammonium ratio", "total dissolved", "Conductivity", "Event label", "Date Time of event", "Nitrogen", " inorganic", " dissolved/Nitrogen", " organic", " dissolved ratio", "15. Life on land", "Carbon", " organic", " dissolved", "dissolved Nitrogen", "Elevation of event", "Carbon", "rivers", "Snow coverage", "Greening", "Potassium/Silicon ratio", "Optima 2000 DV", "Nitrogen", " organic", " dissolved", "13. Climate action", "Discharge", "Conductivity", " specific", "Ammonium/Nitrogen", " inorganic", " dissolved ratio"], "contacts": [{"organization": "Riis, Tenna, Tank, Jennifer, Holmboe, Cecilie Marie Hartvig, Gim\u00e9nez-Grau, Pau, Mastepanov, Mikhail, Catalan, Nuria, Stott, David, Hansen, Birgitte, Kristiansen, S\u00f8ren M, Pastor, Ada,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1594/pangaea.963212"}, {"rel": "self", "type": "application/geo+json", "title": "10.1594/pangaea.963212", "name": "item", "description": "10.1594/pangaea.963212", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1594/pangaea.963212"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.3390/rs12213482", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:01Z", "type": "Journal Article", "created": "2020-10-26", "title": "Vertical Accuracy of Freely Available Global Digital Elevation Models (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM)", "description": "<p>Freely available global digital elevation models (DEMs) are important inputs for many research fields and applications. During the last decade, several global DEMs have been released based on satellite data. ASTER and SRTM are the most widely used DEMs, but the more recently released, AW3D30, TanDEM-X and MERIT, are being increasingly used. Many researchers have studied the quality of these DEM products in recent years. However, there has been no comprehensive and systematic evaluation of their quality over areas with variable topography and land cover conditions. To provide this comparison, we examined the accuracy of six freely available global DEMs (ASTER, AW3D30, MERIT, TanDEM-X, SRTM, and NASADEM) in four geographic regions with different topographic and land use conditions. We used local high-precision elevation models (Light Detection and Ranging (LiDAR), Pleiades-1A) as reference models and all global models were resampled to reference model resolution (1m). In total, 608 million 1x1 m pixels were analyzed. To estimate the accuracy, we generated error rasters by subtracting each reference model from the corresponding global DEM and calculated descriptive statistics for this difference (e.g., median, mean, root-mean-square error (RMSE)). We also assessed the vertical accuracy as a function of the slope, slope aspect, and land cover. We found that slope had the strongest effect on DEM accuracy, with no relationship for slope aspect. The AW3D30 was the most robust and had the most stable performance in most of the tests and is therefore the best choice for an analysis of multiple geographic regions. SRTM and NASADEM also performed well where available, whereas NASADEM, as a successor of SRTM, showed only slight improvement in comparison to SRTM. MERIT and TanDEM-X also performed well despite their lower spatial resolution.</p>", "keywords": ["validation", "DEM; validation; accuracy assessment; slope; aspect; topography; land cover", "Science", "Q", "DEM", "aspect", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "01 natural sciences", "land cover", "topography", "slope", "accuracy assessment", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/21/3482/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/21/3482/pdf"}, {"href": "https://doi.org/10.3390/rs12213482"}, {"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/rs12213482", "name": "item", "description": "10.3390/rs12213482", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12213482"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-23T00:00:00Z"}}, {"id": "10.3390/land12051054", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:55Z", "type": "Journal Article", "created": "2023-05-12", "title": "The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Historic agricultural practices have played a dominant role in shaping landscapes, creating a heritage which must be understood and conserved from the perspective of sustainable development. Agroforestry (i.e., the practice of combining trees with agriculture or livestock) has existed since ancient times in European countries, and it has been recognised as one of the most resilient and multifunctional cultural landscapes, providing a wide range of economic, sociocultural, and environmental benefits. This research explores aspects of the history, physical characteristics, decline, and current state of conservation of historic agroforestry systems on the Northern Apennines in Italy, using an interdisciplinary approach combining archival sources, landscape archaeology, dendrochronology, and GIS analysis. Furthermore, through computer-based modelling, this research aims to evaluate how the abandonment of this historic rural land-use strategy impacted slope geomorphic processes over the long term. The importance of environmental values attached to traditional rural landscapes has received much attention even beyond the heritage sector, justifying the definition of transdisciplinary approaches necessary to ensure the holistic management of landscapes. Through the integration of the Unit Stream Power-Based Erosion Deposition (USPED) equation with landscape archaeological data, the paper shows how restoring the historic agroforestry landscape could significantly mitigate soil mass movements in the area. Thus, the interdisciplinary workflow proposed in this study enables a deep understanding of both the historical evolution of agroforestry systems and its resulting effects for cumulative soil erosion and deposition in the face of climate change.</p></article>", "keywords": ["2. Zero hunger", "S", "transdisciplinary landscape studies", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "12. Responsible consumption", "remote sensing and GIS; historic landscape characterisation; slope processes; landscape archaeology; landscape modelling; transdisciplinary landscape studies; geomorphometry; alberata emiliana", "landscape archaeology", "13. Climate action", "remote sensing and GIS", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "slope processes", "historic landscape characterisation", "landscape modelling", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Filippo Brandolini, Chiara Compostella, Manuela Pelfini, Sam Turner,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2073-445X/12/5/1054/pdf"}, {"href": "https://air.unimi.it/bitstream/2434/1052268/2/land-12-01054-v2.pdf"}, {"href": "https://air.unimi.it/bitstream/2434/1052268/3/land-12-01054-v2_compressed.pdf"}, {"href": "https://www.mdpi.com/2073-445X/12/5/1054/pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=291264/11B42E72-559A-4B2B-B355-0FF6E8B88A26.pdf&pub_id=291264"}, {"href": "https://doi.org/10.3390/land12051054"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/land12051054", "name": "item", "description": "10.3390/land12051054", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/land12051054"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-12T00:00:00Z"}}, {"id": "10.5281/zenodo.17523269", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-05-25T16:23:06Z", "type": "Dataset", "created": "2025-11-04", "title": "Environmental dataset from a restored mine slope in Northern Spain: comparative analysis of grassland, shrubland, and native oak forest", "description": "unspecifiedWhen using this data, please cite the original publications that generated the dataset:   L\u00f3pez-Marcos D, Turri\u00f3n MB, Garc\u00eda-Duro J, Mart\u00ednez-Ruiz C (2025) Soil thickness and porosity as indicators of the ecological restoration success: The case study of a reclaimed coal-mine slope in a Mediterranean area. Ecol Eng 222: 107783 https://doi.org/10.1016/j.ecoleng.2025.107783  L\u00f3pez-Marcos D, Turri\u00f3n MB, Mart\u00ednez-Ruiz C (2020) Linking soil variability with plant community composition along a mine-slope topographic gradient: Implications for restoration. Ambio 49: 337\u2013349. https://doi.org/10.1007/s13280-019-01193-y", "keywords": ["Postmining slope", "Plant cover", "Forest", "Grassland", "Shrubland", "Physicochemical soil parameters"], "contacts": [{"organization": "L\u00f3pez-Marcos, Daphne, Mart\u00ednez-Ruiz, Carolina, Turri\u00f3n, Mar\u00eda-Bel\u00e9n,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17523269"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17523269", "name": "item", "description": "10.5281/zenodo.17523269", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17523269"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-11-04T00:00:00Z"}}, {"id": "2434/1052268", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:32Z", "type": "Journal Article", "created": "2023-05-12", "title": "The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Historic agricultural practices have played a dominant role in shaping landscapes, creating a heritage which must be understood and conserved from the perspective of sustainable development. Agroforestry (i.e., the practice of combining trees with agriculture or livestock) has existed since ancient times in European countries, and it has been recognised as one of the most resilient and multifunctional cultural landscapes, providing a wide range of economic, sociocultural, and environmental benefits. This research explores aspects of the history, physical characteristics, decline, and current state of conservation of historic agroforestry systems on the Northern Apennines in Italy, using an interdisciplinary approach combining archival sources, landscape archaeology, dendrochronology, and GIS analysis. Furthermore, through computer-based modelling, this research aims to evaluate how the abandonment of this historic rural land-use strategy impacted slope geomorphic processes over the long term. The importance of environmental values attached to traditional rural landscapes has received much attention even beyond the heritage sector, justifying the definition of transdisciplinary approaches necessary to ensure the holistic management of landscapes. Through the integration of the Unit Stream Power-Based Erosion Deposition (USPED) equation with landscape archaeological data, the paper shows how restoring the historic agroforestry landscape could significantly mitigate soil mass movements in the area. Thus, the interdisciplinary workflow proposed in this study enables a deep understanding of both the historical evolution of agroforestry systems and its resulting effects for cumulative soil erosion and deposition in the face of climate change.</p></article>", "keywords": ["2. Zero hunger", "S", "transdisciplinary landscape studies", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "12. Responsible consumption", "remote sensing and GIS; historic landscape characterisation; slope processes; landscape archaeology; landscape modelling; transdisciplinary landscape studies; geomorphometry; alberata emiliana", "landscape archaeology", "13. Climate action", "remote sensing and GIS", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "slope processes", "historic landscape characterisation", "landscape modelling", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-445X/12/5/1054/pdf"}, {"href": "https://air.unimi.it/bitstream/2434/1052268/2/land-12-01054-v2.pdf"}, {"href": "https://air.unimi.it/bitstream/2434/1052268/3/land-12-01054-v2_compressed.pdf"}, {"href": "https://www.mdpi.com/2073-445X/12/5/1054/pdf"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=291264/11B42E72-559A-4B2B-B355-0FF6E8B88A26.pdf&pub_id=291264"}, {"href": "https://doi.org/2434/1052268"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2434/1052268", "name": "item", "description": "2434/1052268", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2434/1052268"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-12T00:00:00Z"}}, {"id": "2158/1403973", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:25:25Z", "type": "Journal Article", "created": "2024-12-13", "title": "Comparative geotechnical analysis of slope stabilization through conventional, soil and water bioengineering, and combined solutions", "description": "The sustainable mitigation of hydrogeological hazard through the geotechnical stabilization of natural and artificial slopes is an ethical and technical goal of increasing global relevance. In this context, \u201cgray\u201d geotechnical stabilization solutions involving the use of inert materials, injections of cement mixtures and steel elements, have been prevalently used in the past decades and have thus come to define the present \u201cconventional\u201d approach. These solutions may meet engineering performance criteria but are unable to attain desirable sustainability standards. The practice of Soil and Water BioEngineering (SWBE) draws from ancient empirical experience and is rapidly gaining new momentum due to the increased focus on environmental protection and requalification. SWBE and can be effectively conducted through the design and implementation of nature-based solutions (NBS) by using living plants, alone or in combination with locally available materials, to improve the engineering performance of ecosystems while fostering an increase in their biodiversity and environmental value. The domain of applicability of NBS is limited to quasi-surficial instability phenomena, since the root systems which provide resistance to destabilizing forces are found mainly at shallow depths from ground surface. Moreover, biological and physical processes intervening in NBS result in the temporal variation of their mechanical resistance and engineering performance. \u201cCombined\u201d solutions involving the presence of \u2013 and synergy between - gray and green solutions may ensure the simultaneous attainment of safety and sustainability. This paper describes the conceptual standpoints and operational framework used for the comparative assessment of the engineering design performance of conventional, NBS, and combined solutions for a slope stabilization intervention on a site located near Florence, Italy. Stability is assessed quantitatively through limit equilibrium methods for multiple scenarios defined in terms of technological solutions, temporal stage, and level of engineering conservatism in design parameters. Temporal trends of the factors of safety against sliding are defined statistically and assessed qualitatively and quantitatively. The comparative analysis suggests that the combined solution provides the best option at the Montisoni site as it ensures sufficient short-terms, post-stabilization stability as well as increased stability overtime due to the improvement in the mechanical contribution of NBS components. The paper brings innovative contributions with respect to the equivalent geomechanical modeling of NBS and combined solutions in limit-equilibrium analyses and to the discussion of criteria to be considered in the assignment of design values in stability analyses.", "keywords": ["Geotechnical engineering; Bio-geotechnics; Slope stability; Soil and water bioengineering; Nature-based solutions; Statistics"]}, "links": [{"href": "https://flore.unifi.it/bitstream/2158/1403973/1/Uzielli%20et%20al.%202024%20-%20Comparative%20geotechnical%20analysis%20of%20slope%20stabilization.pdf"}, {"href": "https://doi.org/2158/1403973"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2158/1403973", "name": "item", "description": "2158/1403973", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2158/1403973"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-01T00:00:00Z"}}, {"id": "3044261525", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:25:53Z", "type": "Journal Article", "created": "2020-08-11", "title": "Mathematical and computational modelling of vegetated soil incorporating hydraulically-driven finite strain deformation", "description": "Abstract   In this paper a new model for the hydro-mechanical behaviour of rooted soils is developed. It is a physically-based model that couples finite strain soil deformation with unsaturated water and air flow, while improving on existing cohesion-based approaches to mechanical root reinforcement and empirical soil water-uptake approaches typically used to deal with rooted slopes. The model is used to show that the dynamics of soil-water pressure and soil deformation depend strongly on the physics of the root-water uptake and the elasto-plastic soil mechanics. Root water uptake can cause suctions and corresponding soil shrinkage sufficiently large to necessitate a finite-strain approach. Although this deformation can change the intrinsic permeability, hydraulic conductivity remains dominated by the water content. The model incorporates simultaneous air-flow, but this is shown to be unimportant for soil-water dynamics under the conditions assumed in example simulations. The mechanical action of roots is incorporated via a root stress tensor and a simulation is used to show how root tension is mobilised within a swelling soil. The developed model may be used to simulate both laboratory experiments and full-scale vegetated slopes.", "keywords": ["/dk/atira/pure/subjectarea/asjc/1900/1909", "name=Geotechnical Engineering and Engineering Geology", "/dk/atira/pure/subjectarea/asjc/1700/1706", "550", "Vegetated soil", "0211 other engineering and technologies", "Large-strain", "04 agricultural and veterinary sciences", "02 engineering and technology", "name=Computer Science Applications", "15. Life on land", "Roots", "510", "Slope", "Landslide", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://eprints.soton.ac.uk/442810/1/Woodman_et_al_revised_June20PURE.pdf"}, {"href": "https://doi.org/3044261525"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20and%20Geotechnics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3044261525", "name": "item", "description": "3044261525", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3044261525"}, {"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": "3211874429", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:26:06Z", "type": "Journal Article", "created": "2021-11-13", "title": "An optimized method for extracting slope length in RUSLE from raster digital elevation", "description": "Abstract   The Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE) have been widely used for predicting average soil loss. Slope length is an important topographical parameter of the L factor in USLE/RUSLE. Among the widely studied GIS procedures for extracting slope length, the distributed watershed erosion slope length (DWESL) based on the unit contributing area estimation method, which considers two-dimensional runoff process and cutoff factors, is a relatively complete model for calculating slope length. Slope length in the DWESL model is primarily calculated using conventional flow direction algorithms such as D8, Dinf, MS and MFD-md. However, DWESL outputs require further improvement due to the errors in the usual estimates of the uphill contributing area and the effective contour length of discrete elements. Combined with a theoretical differential equation of specific catchment area on hillsides, the calculation of the DWESL model was optimized without estimating the uphill contributing area or the effective contour length for each cell. The proposed integration method based on the topographical features slope line, contour curvature and cutoff factors (ITF method) was used to extract slope length from the raster digital elevation. Slope length extracted using the ITF method had the smallest error in verification of mathematical surfaces (average RRMSE \u00a0=\u00a00.0573), and its spatial distribution was more consistent with the structure of the terrain surface for all test data, relative to the conventional flow direction algorithms in the original DWESL model. The proposed ITF method could provide a reference for predicting soil erosion using the USLE/RUSLE model.", "keywords": ["Slope Length", "Soil erosion", "0211 other engineering and technologies", "0401 agriculture", " forestry", " and fisheries", "RUSLE", "Terrain analysis", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "GIS"]}, "links": [{"href": "https://doi.org/3211874429"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3211874429", "name": "item", "description": "3211874429", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3211874429"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "GOIB_CDE_FP", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:27:51Z", "type": "Dataset", "language": "es", "title": "DATASET of slope, soil and vegetation factor for calculate the CAP of Balearic Islands", "description": "Image of slope, soil and vegetation factor obtained from the LIDAR flight of 2014 that is used in the calculation of the automatic pasture land coefficient (CAP). Slope factor: It identifies zones with high slope and treats it as not herbaceous and therefore not admissible. Vegetation factor: It identifies zones with vegetation of more than 40cm of height and treats it as not herbaceous and therefore not admissible. Soil factor: It identifies soil zones without vegetation and treats it as not admissible.", "formats": [{"name": "WMS_SRVC"}], "keywords": ["2014", "balearic-islands", "cap", "eivissa", "elevaciones", "elevacions", "elevation", "es", "formentera", "goib", "govern-de-les-illes-balears", "ibiza", "illes-balears", "institut-cartogra\u0300fic-i-geogra\u0300fic-de-les-illes-balears", "islas-baleares", "mallorca", "menorca", "pasto", "pastura", "pasture", "pendent", "pendiente", "slope", "soil", "so\u0300l", "suelo", "vegetacio\u0301", "vegetacio\u0301n", "vegetation"], "contacts": [{"organization": "Institut Cartogr\u00e0fic i Geogr\u00e0fic de les Illes Balears", "roles": ["creator"]}]}, "links": [{"href": "https://ideib.caib.es/geoserveis/services/public/GOIB_FactorsPastures_IB/MapServer/WCSServer?request=GetCapabilities&service=WCS"}, {"href": "https://ideib.caib.es/geoserveis/services/public/GOIB_FactorsPastures_IB/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "http://data.europa.eu/88u/dataset/b6e07eec-f820-460e-8677-b4842281822e"}, {"rel": "self", "type": "application/geo+json", "title": "GOIB_CDE_FP", "name": "item", "description": "GOIB_CDE_FP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GOIB_CDE_FP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "2f559cf4-8685-40b3-a6e1-4ad4a9120168", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "opendata"}, {"id": "specific UV absorbance (SUVA)"}], "scheme": "Individual"}, {"concepts": [{"id": "redox potential"}, {"id": "subsoil"}, {"id": "soil water constants"}, {"id": "elements"}, {"id": "plant available phosphorus"}, {"id": "total phosphorus"}, {"id": "carbon"}, {"id": "dissolved inorganic carbon"}, {"id": "dissolved organic carbon"}, {"id": "ammonium"}, {"id": "nitrates"}, {"id": "nitrites"}, {"id": "calcium"}, {"id": "aluminium"}, {"id": "iron"}, {"id": "manganese"}, {"id": "soil solution"}, {"id": "phosphates"}, {"id": "drainage water"}, {"id": "lysimeters"}, {"id": "slope"}, {"id": "nitrogen content"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-03-28", "type": "Dataset", "created": "2022-04-28", "language": "eng", "title": "Lysimeter data Rostock: Redox potential, pH and element concentrations of pore water in 2021", "description": "The dataset contains soil pore water data from three sampling depths of three soil profiles from along a hill slope in Northern Germany. Data inform about weekly redox potential (Eh), pH and element concentrations (TC, IC, OC, TN, NH4+ -N, NO2- -N, NO3- -N, PO43- -P, total Ca, P, Fe, Al, and Mn) in filtered (0.45 \u00b5m) soil pore water samples collected in 2021.\n\nResearch domain: Soil Sciences\n\nResearch question: Controlled drainage may affect phosphorus mobilization in soil. To assess P mobilization at different redox conditions, three soil profiles with redoximorphic features were selected along a slight hill slope and lysimeter monoliths were collected by drilling in 2018. In 2021, lysimeters were cropped with maize. Five maize plants of each lysimeter were supplied with underfoot fertilizer (P and S) while further five plants of each lysimeter were left without fertilizer. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. The redox potential (Eh) was measured in situ and pore water was sampled weekly from three different depths of the lysimeters to determine pH and the element concentrations total C, N, P, Al, Fe, Mn, and Ca as well as inorganic and organic C (DIC, DOC), NH4+-N, NO2- -N, NO3- -N and PO43- -P in solutions (0.45 \u00b5m). Thus, information about different element concentrations at different redox potentials and pH was gained over a period of about 6.5 months in 2021.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "opendata", "specific UV absorbance (SUVA)", "redox potential", "subsoil", "soil water constants", "elements", "plant available phosphorus", "total phosphorus", "carbon", "dissolved inorganic carbon", "dissolved organic carbon", "ammonium", "nitrates", "nitrites", "calcium", "aluminium", "iron", "manganese", "soil solution", "phosphates", "drainage water", "lysimeters", "slope", "nitrogen content"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock; present organization: University of Vechta", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "karen.baumann@uni-rostock.de; present email: karen.baumann@uni-vechta.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://orcid.org", "protocol": null, "protocol_url": "", "name": "0000-0003-1341-052X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://orcid.org", "protocol": null, "protocol_url": "", "name": "0000-0003-3776-2984", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Center", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Rostock; present organization: University of Vechta", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=2f559cf4-8685-40b3-a6e1-4ad4a9120168", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "2f559cf4-8685-40b3-a6e1-4ad4a9120168", "name": "item", "description": "2f559cf4-8685-40b3-a6e1-4ad4a9120168", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2f559cf4-8685-40b3-a6e1-4ad4a9120168"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-28T00:00:00Z"}}, {"id": "1770c71c-b36f-404d-b336-8b96476cfec6", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.22, 53.99], [12.22, 54.02], [12.28, 54.02], [12.28, 53.99], [12.22, 53.99]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "elements"}, {"id": "total phosphorus"}, {"id": "carbon"}, {"id": "calcium"}, {"id": "aluminium"}, {"id": "iron"}, {"id": "manganese"}, {"id": "nitrogen"}, {"id": "sulfur"}, {"id": "potassium"}, {"id": "magnesium"}, {"id": "zinc"}, {"id": "leaves"}, {"id": "stems"}, {"id": "shoots"}, {"id": "grain"}, {"id": "slope"}, {"id": "spring barley"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Elemente"}, {"id": "Kohlenstoff"}, {"id": "Aluminium"}, {"id": "Calcium"}, {"id": "Eisen"}, {"id": "Phosphor"}, {"id": "Stickstoff"}, {"id": "Zink"}, {"id": "Schwefel"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2023-04-17", "type": "Dataset", "created": "2022-04-28", "language": "eng", "title": "Lysimeter data Rostock: characteristics of maize plants grown with and without underfoot fertilization in 2021", "description": "The dataset contains fresh and dry plant mass, BBCH development stages as well as plant height and element concentrations (total C, N, S, Al, Fe, Ca, K, Mg, P, and Zn) of maize grown in lysimeter areas which were either fertilized or unfertilized with P- und S-containing fertilizer pellets. The plants were grown under varying redox conditions on three soil profiles from along a hill slope in Northern Germany in 2021.    \nResearch question: Controlled drainage may affect element mobilization in soil, in particular phosphorus. Three soil profiles with redoximorphic features were selected from along a slight hill slope to establish three lysimeter monoliths. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. Maize plants were sown with either underfoot fertilization or no addition of P- & S-fertilizer. Plants were harvested after 4, 6, 8, 12 and 20 weeks, respectively. Plant developmental stage, plant height, dry mass as well as element concentrations (total C, N, S, Al, Fe, Ca, K, Mg, P, and Zn) were determined to assess the effect of the fertilizer.\n\n\nResearch domain: Plant Nutrition\n\nResearch question: Controlled drainage may affect element mobilization in soil, in particular phosphorus. Three soil profiles with redoximorphic features were selected from along a slight hill slope to establish three lysimeter monoliths. Water levels of the monoliths were adjusted to high and low water table to mimic closed and open drainage, respectively. Maize plants were sown with either underfoot fertilization or no addition of P- & S-fertilizer. Plants were harvested after 4, 6, 8, 12 and 20 weeks, respectively. Plant developmental stage, plant height, dry mass as well as element concentrations (total C, N, S, Al, Fe, Ca, K, Mg, P, and Zn) were determined to assess the effect of the fertilizer.", "formats": [{"name": "CSV"}], "keywords": ["Soil", "elements", "total phosphorus", "carbon", "calcium", "aluminium", "iron", "manganese", "nitrogen", "sulfur", "potassium", "magnesium", "zinc", "leaves", "stems", "shoots", "grain", "slope", "spring barley", "opendata", "Elemente", "Kohlenstoff", "Aluminium", "Calcium", "Eisen", "Phosphor", "Stickstoff", "Zink", "Schwefel", "Boden"], "contacts": [{"name": "Baumann, Karen", "organization": "University of Rostock; present organization: University of Vechta", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "karen.baumann@uni-rostock.de; present email: karen.baumann@uni-vechta.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-1341-052X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-3776-2984", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "University of Rostock; present organization: University of Vechta", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=1770c71c-b36f-404d-b336-8b96476cfec6", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "1770c71c-b36f-404d-b336-8b96476cfec6", "name": "item", "description": "1770c71c-b36f-404d-b336-8b96476cfec6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1770c71c-b36f-404d-b336-8b96476cfec6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-17T00:00:00Z"}}, {"id": "75033661-550e-4c36-b1b7-b502ec545aa7", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-31.29, 27.64], [-31.29, 70.08], [34.1, 70.08], [34.1, 27.64], [-31.29, 27.64]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}], "scheme": "http://inspire.ec.europa.eu/theme"}, {"concepts": [{"id": "soil"}, {"id": "carbon"}, {"id": "model"}, {"id": "land cover"}, {"id": "organic carbon"}, {"id": "slope"}], "scheme": "GEMET"}, {"concepts": [{"id": "EU25"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "European"}], "scheme": "Spatial scope"}, {"concepts": [{"id": "Soil"}], "scheme": "https://www.eea.europa.eu/themes"}], "updated": "2025-10-09T10:57:57.051372Z", "type": "Dataset", "created": "2014-10-16", "language": "eng", "title": "ESDAC Topsoil Soil Organic Carbon (LUCAS) for EU25, Nov. 2014", "description": "This European Soil Data Centre (ESDAC) dataset provides the maps of Topsoil Soil Organic Carbon in EU-25 (reference year 2014) that are based on LUCAS 2009 soil point data through a generalized additive model. The data provided have been prepared for use by the Land Resource Management Unit (Institute for Environment & Sustainability) of the Joint Research Centre (JRC) of the European Commission.\n\nThis metadata refers to two maps:\na) Map of predicted topsoil organic carbon content (g C kg-1) : The map was produced by fitting a generalised additive model between organic carbon measurements from the LUCAS survey (dependent variable) and a set of selected environmental covariates; namely slope, land cover, annual accumulated temperature, net primary productivity, latitude and longitude. The format provided is GeoTIFF.\nb) Map of standard error of the OC model predictions (g C kg-1): This map presents the associated uncertainty to the organic carbon content predictions. The standard error, which shows the theoretical range of deviation in the prediction made by the generalized additive model, was calculated for every pixel of the Map of predicted topsoil organic carbon content, based on the posterior covariance matrix of the fitted parameters. The format provided is GeoTIFF. \n\nThe map of predicted OC content had the smallest values in Mediterranean countries and in croplands across Europe, whereas largest OC contents were predicted in wetlands, woodlands and mountainous areas. The map of the predictions' standard error had large uncertainty in northern latitudes, wetlands, moors and heathlands, whereas small uncertainty was mostly found in croplands. The map produced gives the most updated general picture of topsoil OC content at the European Union scale.\n\nIMPORTANT NOTE: this metadata is only for internal EEA use. The original metadata of this dataset prepared by ESDAC can be found here: https://esdac.jrc.ec.europa.eu/content/topsoil-soil-organic-carbon-lucas-eu25. For any problem / question / comment on this dataset, please contact ec-esdac@ec.europa.eu.\n\nAbout ESDAC:\na) Panagos P., Van Liedekerke M., Jones A., Montanarella L., \u201cEuropean Soil Data Centre: Response to European policy support and public data requirements\u201d; (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003\nb) European Soil Data Centre (ESDAC), esdac.jrc.ec.europa.eu, European Commission, Joint Research Centre", "formats": [{"name": "GeoTIFF"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "WWW:URL"}], "keywords": ["Soil", "soil", "carbon", "model", "land cover", "organic carbon", "slope", "EU25", "European", "Soil"], "distancevalue": "500", "distanceuom": "m", "edition": "01.00"}, "links": [{"href": "https://esdac.jrc.ec.europa.eu/content/topsoil-soil-organic-carbon-lucas-eu25", "protocol": "WWW:LINK-1.0-http--link", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/data/75033661-550e-4c36-b1b7-b502ec545aa7", "name": "Direct download (Eionet authentication)", "protocol": "WWW:URL", "rel": "download"}, {"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/75033661-550e-4c36-b1b7-b502ec545aa7.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "75033661-550e-4c36-b1b7-b502ec545aa7", "name": "item", "description": "75033661-550e-4c36-b1b7-b502ec545aa7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/75033661-550e-4c36-b1b7-b502ec545aa7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2014-01-01T00:00:00Z", "2014-12-31T00:00:00Z"]}}, {"id": "768fc389-3649-4c7a-a095-90ec6f87670e", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-31.29, 27.64], [-31.29, 70.08], [34.1, 70.08], [34.1, 27.64], [-31.29, 27.64]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "EU25"}], "scheme": "Continents, countries, sea regions of the world."}, {"concepts": [{"id": "Soil"}], "scheme": "https://www.eea.europa.eu/themes"}, {"concepts": [{"id": "soil"}, {"id": "carbon"}, {"id": "model"}, {"id": "land cover"}, {"id": "organic carbon"}, {"id": "slope"}], "scheme": "GEMET"}, {"concepts": [{"id": "Soil"}], "scheme": "http://inspire.ec.europa.eu/theme"}, {"concepts": [{"id": "European"}], "scheme": "Spatial scope"}], "updated": "2025-10-09T10:58:16.826072Z", "type": "Dataset", "language": "eng", "title": "ESDAC Topsoil Soil Organic Carbon (LUCAS) for EU25", "description": "This European Soil Data Centre (ESDAC) dataset provides the maps of Topsoil Soil Organic Carbon in the EU.", "keywords": ["EU25", "Soil", "soil", "carbon", "model", "land cover", "organic carbon", "slope", "Soil", "European"]}, "links": [{"href": "https://sdi.eea.europa.eu/public/catalogue-graphic-overview/75033661-550e-4c36-b1b7-b502ec545aa7.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "768fc389-3649-4c7a-a095-90ec6f87670e", "name": "item", "description": "768fc389-3649-4c7a-a095-90ec6f87670e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/768fc389-3649-4c7a-a095-90ec6f87670e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2014-01-01T00:00:00Z", "2014-12-31T00:00:00Z"]}}, {"id": "0bb7237a-6740-4ea3-b2a1-e26b1647e4e0", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2022-10-20T16:08:51", "language": "eng", "title": "Simplified AEZ 33 classes - GAEZ v4 (Global - about 1 km)", "description": "Simplified AEZ classification (33 classes) at about 1 km resolution at the equator, using different climate data source and based on different Representative Concentration Pathways (RCPs) according to the time period as follows:\n- climate data source CRUTS32 based on historical data for the time period 1981-2010;\n- climate data source ENSEMBLE based on the Representative Concentration Pathway RCP8.5 for time periods 2041-2070 and 2071-2100.\n\nThe Simplified AEZ classification dataset is part of the GAEZ v4 Theme 1 Land and Water Resources, Agro-Ecological Zones sub-theme. \n\nThe agro-ecological zones classification provides a characterization of bio-physical resources relevant to agricultural production systems. AEZ definitions and map classes follow a rigorous methodology and an explicit set of principles. The inventory combines spatial layers of thermal and moisture regimes with broad categories of soil/terrain qualities. It also indicates locations of areas with irrigated soils and shows land with severely limiting bio-physical constraints including very cold and very dry (desert) areas as well as areas with very steep terrain or very poor soil/terrain conditions.\n\nFor further details, please refer to the GAEZ v4 Model Documentation.", "formats": [{"name": "GeoTIFF"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["climate", "land cover", "soil", "elevation and terrain slopes", "protected areas", "administrative units", "watersheds", "population", "livestock", "agro-ecological zones", "GAEZ v4_theme1_agro-ecological zones", "GAEZ v4_theme1", "World"], "contacts": [{"name": "Fischer Gunther", "organization": "International Institute for Applied Systems Analysis (IIASA)", "position": "Emeritus Research Scholar", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "fisher@iiasa.ac.at"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://iiasa.ac.at/", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "International Institute for Applied Systems Analysis (IIASA) website", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "UNFAO - NSL Geospatial Unit", "organization": "Food and Agriculture Organization of the United Nations GAEZ v4 Data Portal", "position": null, "roles": ["distributor"], "phones": [{"value": null}], "emails": [{"value": "gaez@fao.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://gaez-data-portal-hqfao.hub.arcgis.com/", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "GAEZ v4 Data Portal", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "International Institute for Applied Systems Analysis (IIASA)", "roles": ["creator"]}], "edition": "v.4"}, "links": [{"href": "http://www.fao.org/3/cb4744en/cb4744en.pdf", "name": "GAEZ v4 Model Documentation", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://io.apps.fao.org/geoserver/wms/GAEZ_V4/LR_AEZ_V9V2RED/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "AEZ_V9V2RED", "description": "Land and Water Resources - Agro-ecological Zones - Simplified AEZ classification (33 classes)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"href": "https://gaez.fao.org/", "name": "GAEZ v4 Data Portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/GAEZ_V4/cubes/LR_AEZ_V9V2RED/styles/GAEZ_V4:gaez_v4_aez33/sld", "name": "SLD", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "https://data.apps.fao.org:/map/catalog/srv/api/records/0bb7237a-6740-4ea3-b2a1-e26b1647e4e0/attachments/Simplified%20AEZ%20classification.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "0bb7237a-6740-4ea3-b2a1-e26b1647e4e0", "name": "item", "description": "0bb7237a-6740-4ea3-b2a1-e26b1647e4e0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0bb7237a-6740-4ea3-b2a1-e26b1647e4e0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2041-01-01T00:00:00Z", "2099-12-31T00:00:00Z"]}}, {"id": "bed22f00-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[31.0, 10.8], [31.0, 83.5], [179.9, 83.5], [179.9, 10.8], [31.0, 10.8]]]}, "properties": {"themes": [{"concepts": [{"id": "elevation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2004-04-16T16:17:23", "created": "2001-05-01", "language": "eng", "title": "Slope of East Asia Pacific.", "description": "As part of the the World Bank's review of its rural development strategy, the Bank sought the assistance of the Food and Agriculture Organization of the United Nations (FAO) in evaluating how farming systems might change and adapt over the next thirty years. Amongst other objectives, the World Bank asked FAO to provide guidance on priorities for investment in food security, poverty reduction, and economic growth, and in particular to identify promising approaches and technologies that will contribute to these goals. The results of the study are summarized in a set of seven documents, comprising six regional reports and the global overview contained in this volume. This document, which synthesises the results of the six regional analyses as well as discussing global trends, cross-cutting issues and possible implementation modalities, presents an overview of the complete study. This document is supplemented by two case study reports of development issues of importance to farming systems globally.", "formats": [{"name": "WWW:LINK-1.0-http- -link"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["Slope", "East Asia Pacific", "Global Farming Systems Study", "Asia"], "edition": "First edition."}, "links": [{"href": "http://wbln0018.worldbank.org/essd/rdv/vta.nsf/Gweb/Farming", "description": "World Bank - Rural Development Strategy", "protocol": "WWW:LINK-1.0-http- -link", "rel": "information"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/bed22f00-88fd-11da-a88f-000d939bc5d8/resources/1066.zip", "name": "1066.zip", "description": "Slope of East Asia Pacific GRID file", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": "download"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/bed22f00-88fd-11da-a88f-000d939bc5d8/thumbnail/1066_s.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/bed22f00-88fd-11da-a88f-000d939bc5d8/large_thumbnail/1066.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "bed22f00-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "bed22f00-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/bed22f00-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-05-01T00:00:00Z"}}, {"id": "7a10de20-7845-453d-8af9-90688ef5b0f9", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "climatologyMeteorologyAtmosphere"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2021-06-09T07:15:06", "language": "eng", "title": "GAEZ v4 Theme 1: Land and Water Resources - (Global - about 9 km)", "description": "The quality and availability of land and water resources, together with socio-economic conditions and institutional factors, are essential to assure sustainable food security. GAEZ provides a framework for establishing a spatial inventory of land resources. Global environmental datasets provide the spatial characteristics required for land productivity assessments concerning location-speci\ufb01c agro-ecological conditions. The land resources inventory contains spatial layers of climate, land cover, soil, elevation and terrain slopes, protected areas and areas of high biodiversity value, administrative units, watersheds, population and livestock distribution.\n\nTheme 1: Land and Water Resources provides selected layers of the GAEZ v4 land resources database organized in several sub-themes of (1) Agro-ecological Zones, (2) Land Cover, (3) Soil Resources, (4) Soil Suitability, (5) Terrain Resources, (6) Exclusion Areas, (7) Water Resources, and (8) Selected Socio-economic Data.\n\nResults of this theme are presented in a regular raster format of 5 arc-minute (about 9 x 9 km at the equator) grid cells. Selected maps related to AEZ classification, soil suitability, terrain slopes and land cover are provided at 30 arc-second (0.9 x 0.9 km) resolution. The GAEZ v4 update includes 2010 baseline data comprising land cover, a harmonized global soil database and terrain data, protected areas and areas of high biodiversity value. \n\nClimatic conditions are based on a time series of historical data of 1961-2010 and a selection of future climate simulations  (30-year average of years 2011-2040, 2041-2070, and 2070-2099) using recent IPCC AR5 Earth System Model (ESM) outputs for four Representative Concentration Pathways (RCPs).\n\nGAEZ methodology development, data base compilation, production of results and establishing the Data Portal were accomplished in close technical collaboration and with inputs of the International Institute for Applied Systems Analysis (IIASA).\n\nFor further details, please refer to the GAEZ v4 Model Documentation.", "formats": [{"name": "GeoTIFF"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["climate", "land cover", "soil", "elevation and terrain slopes", "protected areas", "administrative units", "watersheds", "population", "livestock", "GAEZ v4_theme1", "World"], "contacts": [{"name": "Fischer G\u00fcnther", "organization": "International Institute for Applied Systems Analysis (IIASA)", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "fisher@iiasa.ac.at"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "International Institute for Applied Systems Analysis (IIASA)", "roles": ["creator"]}], "edition": "v.4"}, "links": [{"href": "http://www.fao.org/3/cb4744en/cb4744en.pdf", "name": "GAEZ v4 Model Documentation", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://gaez.fao.org/", "name": "GAEZ v4 Data Portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://data.apps.fao.org:/map/catalog/srv/api/records/7a10de20-7845-453d-8af9-90688ef5b0f9/attachments/LWR_banner.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "7a10de20-7845-453d-8af9-90688ef5b0f9", "name": "item", "description": "7a10de20-7845-453d-8af9-90688ef5b0f9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/7a10de20-7845-453d-8af9-90688ef5b0f9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1981-01-01T00:00:00Z", "2099-12-31T00:00:00Z"]}}, {"id": "7fcbf6b7-fc06-4c2b-adc6-b360d98801c1", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2022-10-20T16:31:17", "language": "eng", "title": "Thermal regime classification - GAEZ v4 (Global - about 9 km)", "description": "Thermal regime classification at about 9 km resolution at the equator, using different climate data source and based on different Representative Concentration Pathways (RCPs) according to the time period as follows:\n- climate data source CRUTS32 based on historical data for the time period 1981-2010;\n- climate data source ENSEMBLE based on the Representative Concentration Pathway RCP8.5 for time periods 2041-2070 and 2071-2100.\n\nThe Thermal regime classification dataset is part of the GAEZ v4 Theme 1 Land and Water Resources, Agro-Ecological Zones sub-theme. \n\nThe agro-ecological zones classification provides a characterization of bio-physical resources relevant to agricultural production systems. AEZ definitions and map classes follow a rigorous methodology and an explicit set of principles. The inventory combines spatial layers of thermal and moisture regimes with broad categories of soil/terrain qualities. It also indicates locations of areas with irrigated soils and shows land with severely limiting bio-physical constraints including very cold and very dry (desert) areas as well as areas with very steep terrain or very poor soil/terrain conditions.\n\nFor further details, please refer to the GAEZ v4 Model Documentation.", "formats": [{"name": "GeoTIFF"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["climate", "land cover", "soil", "elevation and terrain slopes", "protected areas", "administrative units", "watersheds", "population", "livestock", "land and water resources", "agro-ecological zones", "GAEZ v4_theme1_agro-ecological zones", "GAEZ v4_theme1", "World"], "contacts": [{"name": "Fischer Gunther", "organization": "International Institute for Applied Systems Analysis (IIASA)", "position": "Emeritus Research Scholar", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "fisher@iiasa.ac.at"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://iiasa.ac.at/", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "International Institute for Applied Systems Analysis (IIASA) website", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "International Institute for Applied Systems Analysis (IIASA)", "roles": ["creator"]}], "edition": "v.4"}, "links": [{"href": "http://www.fao.org/3/cb4744en/cb4744en.pdf", "name": "GAEZ v4 Model Documentation", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://io.apps.fao.org/geoserver/wms/GAEZ_V4/LR_THZ_REGIME_CLASS/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "THZ_REGIME_CLASS", "description": "Land and Water Resources - Agro-ecological Zones - Thermal regime class", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"href": "https://gaez.fao.org/", "name": "GAEZ v4 Data Portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://data.apps.fao.org:/map/catalog/srv/api/records/7fcbf6b7-fc06-4c2b-adc6-b360d98801c1/attachments/termal_regime.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "7fcbf6b7-fc06-4c2b-adc6-b360d98801c1", "name": "item", "description": "7fcbf6b7-fc06-4c2b-adc6-b360d98801c1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/7fcbf6b7-fc06-4c2b-adc6-b360d98801c1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1981-01-01T00:00:00Z", "2099-12-31T00:00:00Z"]}}, {"id": "92fa4124-03e4-4b29-acd9-68b8b65bc508", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2022-10-20T16:43:58", "language": "eng", "title": "Moisture regime classification - GAEZ v4 (Global - about 9 km)", "description": "Moisture regime classification at about 9 km resolution at the equator, using different climate data source and based on different Representative Concentration Pathways (RCPs) according to the time period as follows:\n- climate data source CRUTS32 based on historical data for the time period 1981-2010;\n- climate data source ENSEMBLE based on the Representative Concentration Pathway RCP8.5 for time periods 2041-2070 and 2071-2100.\n\nThe Moisture regime classification dataset is part of the GAEZ v4 Theme 1 Land and Water Resources, Agro-Ecological Zones sub-theme. \n\nThe agro-ecological zones classification provides a characterization of bio-physical resources relevant to agricultural production systems. AEZ definitions and map classes follow a rigorous methodology and an explicit set of principles. The inventory combines spatial layers of thermal and moisture regimes with broad categories of soil/terrain qualities. It also indicates locations of areas with irrigated soils and shows land with severely limiting bio-physical constraints including very cold and very dry (desert) areas as well as areas with very steep terrain or very poor soil/terrain conditions.\n\nFor further details, please refer to the GAEZ v4 Model Documentation.", "formats": [{"name": "GeoTIFF"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["climate", "land cover", "soil", "elevation and terrain slopes", "protected areas", "administrative units", "watersheds", "population", "livestock", "agro-ecological zones", "GAEZ v4_theme1_agro-ecological zones", "GAEZ v4_theme1", "World"], "contacts": [{"name": "Fischer Gunther", "organization": "International Institute for Applied Systems Analysis (IIASA)", "position": "Emeritus Research Scholar", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "fisher@iiasa.ac.at"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://iiasa.ac.at/", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "International Institute for Applied Systems Analysis (IIASA) website", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "International Institute for Applied Systems Analysis (IIASA)", "roles": ["creator"]}], "edition": "v.4"}, "links": [{"href": "http://www.fao.org/3/cb4744en/cb4744en.pdf", "name": "GAEZ v4 Model Documentation", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://io.apps.fao.org/geoserver/wms/GAEZ_V4/LR_MST_REGIME_CLASS/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "MST_REGIME_CLASS", "description": "Land and Water Resources - Agro-ecological Zones - Moisture regime class", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"href": "https://gaez.fao.org/", "name": "GAEZ v4 Data Portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://data.apps.fao.org:/map/catalog/srv/api/records/92fa4124-03e4-4b29-acd9-68b8b65bc508/attachments/soil_moisture.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "92fa4124-03e4-4b29-acd9-68b8b65bc508", "name": "item", "description": "92fa4124-03e4-4b29-acd9-68b8b65bc508", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/92fa4124-03e4-4b29-acd9-68b8b65bc508"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2041-01-01T00:00:00Z", "2099-12-31T00:00:00Z"]}}, {"id": "9a9ed6cf-83cc-4b42-b295-305184d3f0b8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2022-10-20T16:10:27", "language": "eng", "title": "Dominant AEZ 33 classes - GAEZ v4 (Global - about 9 km)", "description": "Dominant AEZ classification (33 classes) at about 9 km resolution at the equator, using different climate data source and based on different Representative Concentration Pathways (RCPs) according to the time period as follows:\n- climate data source CRUTS32 based on historical data for the time period 1981-2010;\n- climate data source ENSEMBLE based on the Representative Concentration Pathway RCP8.5 for time periods 2041-2070 and 2071-2100.\n\nThe Dominant AEZ classification dataset is part of the GAEZ v4 Theme 1 Land and Water Resources, Agro-Ecological Zones sub-theme. \n\nThe agro-ecological zones classification provides a characterization of bio-physical resources relevant to agricultural production systems. AEZ definitions and map classes follow a rigorous methodology and an explicit set of principles. The inventory combines spatial layers of thermal and moisture regimes with broad categories of soil/terrain qualities. It also indicates locations of areas with irrigated soils and shows land with severely limiting bio-physical constraints including very cold and very dry (desert) areas as well as areas with very steep terrain or very poor soil/terrain conditions.\n\nFor further details, please refer to the GAEZ v4 Model Documentation.", "formats": [{"name": "GeoTIFF"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["climate", "land cover", "soil", "elevation and terrain slopes", "protected areas", "administrative units", "watersheds", "population", "livestock", "land and water resources", "agro-ecological zones", "GAEZ v4_theme1_agro-ecological zones", "GAEZ v4_theme1", "World"], "contacts": [{"name": "Fischer Gunther", "organization": "International Institute for Applied Systems Analysis (IIASA)", "position": "Emeritus Research Scholar", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "fisher@iiasa.ac.at"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://iiasa.ac.at/", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "International Institute for Applied Systems Analysis (IIASA) website", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "UNFAO - NSL Geospatial Unit", "organization": "Food and Agriculture Organization of the United Nations GAEZ v4 Data Portal", "position": null, "roles": ["distributor"], "phones": [{"value": null}], "emails": [{"value": "gaez@fao.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://gaez-data-portal-hqfao.hub.arcgis.com/", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "GAEZ v4 Data Portal", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "International Institute for Applied Systems Analysis (IIASA)", "roles": ["creator"]}], "edition": "v.4"}, "links": [{"href": "http://www.fao.org/3/cb4744en/cb4744en.pdf", "name": "GAEZ v4 Model Documentation", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://io.apps.fao.org/geoserver/wms/GAEZ_V4/LR_AEZ_V9V2RED_5M/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "AEZ_V9V2RED_5M", "description": "Land and Water Resources - Agro-ecological Zones - Dominant AEZ class (33 classes) at 5 arc-minutes", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"href": "https://gaez.fao.org/", "name": "GAEZ v4 Data Portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://data.apps.fao.org:/map/catalog/srv/api/records/9a9ed6cf-83cc-4b42-b295-305184d3f0b8/attachments/Dominant%20AEZ%20classification.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "9a9ed6cf-83cc-4b42-b295-305184d3f0b8", "name": "item", "description": "9a9ed6cf-83cc-4b42-b295-305184d3f0b8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/9a9ed6cf-83cc-4b42-b295-305184d3f0b8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2041-01-01T00:00:00Z", "2099-12-31T00:00:00Z"]}}, {"id": "beb38370-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-120.0, -60.0], [-120.0, 35.0], [-24.7, 35.0], [-24.7, -60.0], [-120.0, -60.0]]]}, "properties": {"themes": [{"concepts": [{"id": "elevation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2004-04-16T16:17:32", "created": "2001-05-01", "language": "eng", "title": "Slope of Latin America and Caribbean.", "description": "Derived from the Global Agro-Ecological Zones Study, Food and Agriculture Organization of the United Nations (FAO), Land and Water Development Division (AGL) with the collaboration of the International Institute for Applied Systems Analysis (IIASA), 2000. Two sources of geo-referenced terrain slopes were available for use in the Global AEZ assessment: (i) terrain slopes indicated in the mapping unit expansion tables of the respective soil maps, and (ii) terrain slopes derived from GTOPO30 data (EROS Data Center, 1998). The latter terrain-slope database was established at IIASA using a rule-based algorithm to calculate slope distributions in terms of seven slope classes per 5 minute grid-cell of the DSMW soil data based on neighborhood relationships among grid-cells in the 30 arc-second GTOPO30 database. Slopes derived from the 30 arc-second DEM were allocated to soil units occurring within individual soil associations. This involved five steps: (i) Determination of slope classes for each 30 arc-second grid-cell of GTOPO30. Results are grouped in the following seven classes: 0-2%, 2-5%, 5-8%, 8-16%, 16-30%, 30-45% and > 45%; (ii) Aggregation of the results respectively to 5 minute latitude/longitude DSMW grid-cells, and to individual soil association map units resulting in a slope class distribution for each grid-cell and map unit; (iii) Defining  priority classes of soil unit/slope relationships; (iv) Establishing for each soil association consistent rankings of slopes/soil units; (v) Allocation of individual soil units within a particular soil association map unit to 5 min grid-cells of the DSMW, according to calculated slope distributions.", "formats": [{"name": "WWW:LINK-1.0-http--link"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["Global Farming Systems Study", "Slope", "LatAmer&Car"], "edition": "First edition."}, "links": [{"href": "http://wbln0018.worldbank.org/essd/rdv/vta.nsf/Gweb/Farming", "description": "World Bank Group website", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/beb38370-88fd-11da-a88f-000d939bc5d8/resources/1146.zip", "name": "1146.zip", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": "download"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/beb38370-88fd-11da-a88f-000d939bc5d8/thumbnail/1146_s.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/beb38370-88fd-11da-a88f-000d939bc5d8/large_thumbnail/1146.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "beb38370-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "beb38370-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/beb38370-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-05-01T00:00:00Z"}}, {"id": "be5a8e00-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.3, -34.6], [-17.3, 38.2], [51.1, 38.2], [51.1, -34.6], [-17.3, -34.6]]]}, "properties": {"themes": [{"concepts": [{"id": "elevation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2004-04-16T16:17:28", "created": "2001-05-01", "language": "eng", "title": "Slope of Middle East and North Africa.", "description": "As part of the the World Bank's review of its rural development strategy, the Bank sought the assistance of the Food and Agriculture Organization of the United Nations (FAO) in evaluating how farming systems might change and adapt over the next thirty years. Amongst other objectives, the World Bank asked FAO to provide guidance on priorities for investment in food security, poverty reduction, and economic growth, and in particular to identify promising approaches and technologies that will contribute to these goals. The results of the study are summarized in a set of seven documents, comprising six regional reports and the global overview contained in this volume. This document, which synthesises the results of the six regional analyses as well as discussing global trends, cross-cutting issues and possible implementation modalities, presents an overview of the complete study. This document is supplemented by two case study reports of development issues of importance to farming systems globally.", "formats": [{"name": "WWW:LINK-1.0-http- -link"}, {"name": "ESRI:AIMS-4.0-http--configuration"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["Slope", "Middle East and North Africa", "Global Farming Systems Study", "Tag_LUS", "Tag_LUS", "Tag_land", "Africa"], "edition": "First edition."}, "links": [{"href": "http://lnweb18.worldbank.org/ESSD/essdext.nsf/11ByDocName/StrategyDraftRuralStrategy", "description": "Link to The World Bank Group - Agriculture and Rural Development", "protocol": "WWW:LINK-1.0-http- -link", "rel": "information"}, {"href": "http://www.fao.org/geonetwork", "name": "slop_mna.axl", "protocol": "ESRI:AIMS-4.0-http--configuration", "rel": "information"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/be5a8e00-88fd-11da-a88f-000d939bc5d8/resources/slop_mna.zip", "name": "slop_mna.zip", "description": "Slope of Middle East and North Africa - gridfile", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": "download"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/be5a8e00-88fd-11da-a88f-000d939bc5d8/large_thumbnail/1094.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/be5a8e00-88fd-11da-a88f-000d939bc5d8/thumbnail/1094_s.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "be5a8e00-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "be5a8e00-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/be5a8e00-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-05-01T00:00:00Z"}}, {"id": "c06ec800-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.3, -34.6], [-17.3, 38.2], [51.1, 38.2], [51.1, -34.6], [-17.3, -34.6]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2025-07-22T14:26:05", "language": "eng", "title": "Engineering capability", "description": "Engineering capability for pond construction obtained by combining soil texture and slope. Soil texture was interpreted in terms of suitability for pond construction. Soil texture data was obtained from the FAO-UNESCO Soil Map of Africa at 1:5 million scale. This dataset includes three soil texture classes: coarse, medium and fine and these are given for the dominant soils of each association and refer only to the upper 30cm. Slope was interpreted in terms of suitability of topography for pond construction. Slope data was also obtained from the FAO-UNESCO Soil Map of Africa at 1:5 million scale. This dataset includes three slopes classes which reflect the topography in which the soil association occurs.", "formats": [{"name": "ZIP"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "OGC:WMS-1.1.1-http-get-map"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["Africa", "Soil", "Slope", "Pond", "Fishery", "Fish farming", "Aquaculture", "CIFA Technical Paper 27", "Africa"], "contacts": [{"name": "Zichella Vittoria", "organization": "FAO", "position": "Consultant", "roles": ["processor"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}], "edition": "First"}, "links": [{"href": "http://www.fao.org/docrep/W8522e/W8522E00.htm#TOC", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "http://www.iiasa.ac.at/", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "https://data.apps.fao.org/map/gsrv/gsrv1/geonetwork/wms?styles=geonetwork_txsl_3833_style", "name": "geonetwork:txsl_3833", "description": "Engineering capability", "protocol": "OGC:WMS-1.1.1-http-get-map", "rel": "information"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c06ec800-88fd-11da-a88f-000d939bc5d8/resources/txsl.zip", "name": "txsl.zip", "description": "Engineering capability (GRID format)", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": "download"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c06ec800-88fd-11da-a88f-000d939bc5d8/thumbnail/txsl_s.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c06ec800-88fd-11da-a88f-000d939bc5d8/large_thumbnail/txsl.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "c06ec800-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "c06ec800-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c06ec800-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2025-07-22T14:26:05Z"}}, {"id": "c18b5b90-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.3, -34.6], [-17.3, 38.2], [51.1, 38.2], [51.1, -34.6], [-17.3, -34.6]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2009-04-14T16:14:39", "language": "eng", "title": "Slope", "description": "Slope interpreted in terms of suitability of topography for pond construction. Slope data was obtained from the FAO-UNESCO Soil Map of Africa at 1:5 million scale. This dataset includes three slopes classes which reflect the topography in which the soil association occurs.", "formats": [{"name": "WWW:LINK-1.0-http--link"}, {"name": "OGC:WMS-1.1.1-http-get-map"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["Africa", "Slope", "Pond", "Fishery", "Fish farming", "Aquaculture", "CIFA Technical Paper 27", "Africa"], "edition": "First"}, "links": [{"href": "http://www.fao.org/docrep/W8522e/W8522E00.htm#TOC", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "http://cres.anu.edu.au/software/africatxt.htm", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "http://www.iiasa.ac.at/", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "https://data.apps.fao.org/map/gsrv/gsrv1/geonetwork/wms?styles=geonetwork_slope_3831_style", "name": "geonetwork:slope_3831", "description": "Slope", "protocol": "OGC:WMS-1.1.1-http-get-map", "rel": "information"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c18b5b90-88fd-11da-a88f-000d939bc5d8/resources/slope.zip", "name": "slope.zip", "description": "Slope (GRID format)", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": "download"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c18b5b90-88fd-11da-a88f-000d939bc5d8/thumbnail/slope_s.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c18b5b90-88fd-11da-a88f-000d939bc5d8/large_thumbnail/slope.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "c18b5b90-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "c18b5b90-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c18b5b90-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2009-04-14T16:14:39Z"}}, {"id": "c316dd90-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.3, -34.6], [-17.3, 38.2], [51.1, 38.2], [51.1, -34.6], [-17.3, -34.6]]]}, "properties": {"themes": [{"concepts": [{"id": "elevation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2005-12-29T15:28:56", "created": "2001-05-01", "language": "eng", "title": "Slope of Sub-Saharan Africa", "description": "As part of the the World Bank's review of its rural development strategy, the Bank sought the assistance of the Food and Agriculture Organization of the United Nations (FAO) in evaluating how farming systems might change and adapt over the next thirty years. Amongst other objectives, the World Bank asked FAO to provide guidance on priorities for investment in food security, poverty reduction, and economic growth, and in particular to identify promising approaches and technologies that will contribute to these goals. The results of the study are summarized in a set of seven documents, comprising six regional reports and the global overview contained in this volume. This document, which synthesises the results of the six regional analyses as well as discussing global trends, cross-cutting issues and possible implementation modalities, presents an overview of the complete study. This document is supplemented by two case study reports of development issues of importance to farming systems globally.", "formats": [{"name": "WWW:LINK-1.0-http--link"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["Global Farming Systems Study", "Slope", "Sub-Saharan Africa", "Tag_LUS", "Tag_land", "Africa"], "edition": "First edition."}, "links": [{"href": "http://wbln0018.worldbank.org/essd/rdv/vta.nsf/Gweb/Farming", "description": "Link to The World Bank Group - Agrculture and Rural Development", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c316dd90-88fd-11da-a88f-000d939bc5d8/resources/slop_ssa.zip", "name": "slop_ssa.zip", "description": "Slope of Sub-Saharan Africa - gridfile", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": "download"}, {"href": "http://www.fao.org/geonetwork", "name": "af_slope.axl", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "http://www.fao.org/geonetwork", "name": "slop_ssa.axl", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c316dd90-88fd-11da-a88f-000d939bc5d8/thumbnail/1046_s.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c316dd90-88fd-11da-a88f-000d939bc5d8/large_thumbnail/1046.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "c316dd90-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "c316dd90-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c316dd90-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-05-01T00:00:00Z"}}, {"id": "c32116c0-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-17.3, -34.6], [-17.3, 38.2], [51.1, 38.2], [51.1, -34.6], [-17.3, -34.6]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2009-04-14T16:09:47", "language": "eng", "title": "Soil texture", "description": "Soil texture interpreted in terms of suitability for pond construction. Soil texture data was obtained from the FAO-UNESCO Soil Map of Africa at 1:5 million scale. This dataset includes three soil texture classes: coarse, medium and fine and these are given for the dominant soils of each association and refer only to the upper 30cm.", "formats": [{"name": "WWW:LINK-1.0-http--link"}, {"name": "OGC:WMS-1.1.1-http-get-map"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["Africa", "Soil", "Slope", "Pond", "Fishery", "Fish farming", "Aquaculture", "CIFA Technical Paper 27", "Africa"], "contacts": [{"name": null, "organization": "National Center for Geographic Information and Analysis (NCGIA) - University of California", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "http://www.ncgia.ucsb.edu/", "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": "information"}}]}, {"organization": "National Center for Geographic Information and Analysis (NCGIA) - University of California", "roles": ["creator"]}], "edition": "First"}, "links": [{"href": "http://www.fao.org/docrep/W8522e/W8522E00.htm#TOC", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "http://cres.anu.edu.au/software/africatxt.htm", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "http://www.iiasa.ac.at/", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "https://data.apps.fao.org/map/gsrv/gsrv1/geonetwork/wms?styles=geonetwork_soiltext_3832_style", "name": "geonetwork:soiltext_3832", "description": "Soil texture", "protocol": "OGC:WMS-1.1.1-http-get-map", "rel": "information"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c32116c0-88fd-11da-a88f-000d939bc5d8/resources/soiltext.zip", "name": "soiltext.zip", "description": "Soil texture (GRID format)", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": "download"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c32116c0-88fd-11da-a88f-000d939bc5d8/thumbnail/soiltext_s.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c32116c0-88fd-11da-a88f-000d939bc5d8/large_thumbnail/soiltext.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "c32116c0-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "c32116c0-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c32116c0-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2009-04-14T16:09:47Z"}}, {"id": "c352fc30-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "soil"}, {"id": "Tag_LUS"}, {"id": "Tag_land"}], "scheme": null}, {"concepts": [{"id": "climate"}], "scheme": null}], "updated": "2019-11-22T10:40:36", "created": "2000-05-01", "language": "eng", "title": "Global climate, soil and terrain slope constraints combined", "description": "The Food and Agriculture Organization of the United Nations (FAO) with the collaboration of the International Institute for Applied Systems Analysis (IIASA), has developed a system that enables rational land-use planning on the basis of an inventory of land resources and evaluation of biophysical limitations and potentials. This is referred to as the Agro-ecological Zones (AEZ) methodology.", "formats": [{"name": "WWW:LINK-1.0-http--link"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["soil", "Tag_LUS", "Tag_land", "climate", "slope", "agroecological zones", "World"], "contacts": [{"name": null, "organization": "FAO-UN - AGLL (ex-FAO Land and Water Division)", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "land-and-water@fao.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "International Institute for Applied Systems Analysis (IIASA)", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "http://www.iiasa.ac.at", "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "FAO-UN - AGLL (ex-FAO Land and Water Division);International Institute for Applied Systems Analysis (IIASA)", "roles": ["creator"]}], "edition": "First edition."}, "links": [{"href": "http://webarchive.iiasa.ac.at/Research/LUC/GAEZ/index.htm", "description": "Global Agro-Ecological Zones (Global AEZ) CD-ROM FAO/IIASA, 2000", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c352fc30-88fd-11da-a88f-000d939bc5d8/resources/96.zip", "description": "Global climate, soil and terrain slope constraints combined - image", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": "download"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c352fc30-88fd-11da-a88f-000d939bc5d8/thumbnail/96_s.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c352fc30-88fd-11da-a88f-000d939bc5d8/large_thumbnail/96.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "c352fc30-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "c352fc30-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c352fc30-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2000-05-01T00:00:00Z"}}, {"id": "c3755140-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2019-11-22T10:21:28", "created": "2000-05-01", "language": "eng", "title": "Global terrain slope constraints", "description": "The Food and Agriculture Organization of the United Nations (FAO) with the collaboration of the International Institute for Applied Systems Analysis (IIASA), has developed a system that enables rational land-use planning on the basis of an inventory of land resources and evaluation of biophysical limitations and potentials. This is referred to as the Agro-ecological Zones (AEZ) methodology.", "formats": [{"name": "WWW:LINK-1.0-http--link"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["soil", "Tag_LUS", "Tag_land", "slope", "agroecological zones", "World"], "contacts": [{"name": null, "organization": "FAO-UN - AGLL (ex-FAO Land and Water Division)", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "land-and-water@fao.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "International Institute for Applied Systems Analysis (IIASA)", "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "http://www.iiasa.ac.at", "protocol": null, "protocol_url": "", "name": null, "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "FAO-UN - AGLL (ex-FAO Land and Water Division);International Institute for Applied Systems Analysis (IIASA)", "roles": ["creator"]}], "edition": "First edition."}, "links": [{"href": "http://webarchive.iiasa.ac.at/Research/LUC/GAEZ/index.htm", "description": "Global Agro-Ecological Zones (Global AEZ) CD-ROM FAO/IIASA, 2000", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c3755140-88fd-11da-a88f-000d939bc5d8/resources/93.zip", "description": "Global terrain slope constraints - image", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": "download"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c3755140-88fd-11da-a88f-000d939bc5d8/large_thumbnail/93.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c3755140-88fd-11da-a88f-000d939bc5d8/thumbnail/93_s.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "c3755140-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "c3755140-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c3755140-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2000-05-01T00:00:00Z"}}, {"id": "c4b96a00-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-11.5, 35.3], [-11.5, 81.4], [43.2, 81.4], [43.2, 35.3], [-11.5, 35.3]]]}, "properties": {"themes": [{"concepts": [{"id": "elevation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2004-04-16T16:17:31", "created": "2001-05-01", "language": "eng", "title": "Slope of East Europe and Central Asia.", "description": "As part of the the World Bank's review of its rural development strategy, the Bank sought the assistance of the Food and Agriculture Organization of the United Nations (FAO) in evaluating how farming systems might change and adapt over the next thirty years. Amongst other objectives, the World Bank asked FAO to provide guidance on priorities for investment in food security, poverty reduction, and economic growth, and in particular to identify promising approaches and technologies that will contribute to these goals. The results of the study are summarized in a set of seven documents, comprising six regional reports and the global overview contained in this volume. This document, which synthesises the results of the six regional analyses as well as discussing global trends, cross-cutting issues and possible implementation modalities, presents an overview of the complete study. This document is supplemented by two case study reports of development issues of importance to farming systems globally.", "formats": [{"name": "WWW:LINK-1.0-http- -link"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["Slope", "Global Farming Systems Study", "East Europe and Central Asia", "Europe"], "edition": "First edition."}, "links": [{"href": "http://wbln0018.worldbank.org/essd/rdv/vta.nsf/Gweb/Farming", "description": "Online link to a website", "protocol": "WWW:LINK-1.0-http- -link", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c4b96a00-88fd-11da-a88f-000d939bc5d8/resources/1132.zip", "name": "1132.zip", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": "download"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c4b96a00-88fd-11da-a88f-000d939bc5d8/large_thumbnail/1132.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c4b96a00-88fd-11da-a88f-000d939bc5d8/thumbnail/1132_s.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "c4b96a00-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "c4b96a00-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c4b96a00-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-05-01T00:00:00Z"}}, {"id": "c86a15f0-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[57.44, -2.2], [57.44, 38.78], [100.67, 38.78], [100.67, -2.2], [57.44, -2.2]]]}, "properties": {"themes": [{"concepts": [{"id": "elevation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2010-01-06T18:34:27", "created": "2001-05-01", "language": "eng", "title": "Slope of South Asia.", "description": "As part of the the World Bank's review of its rural development strategy, the Bank sought the assistance of the Food and Agriculture Organization of the United Nations (FAO) in evaluating how farming systems might change and adapt over the next thirty years. Amongst other objectives, the World Bank asked FAO to provide guidance on priorities for investment in food security, poverty reduction, and economic growth, and in particular to identify promising approaches and technologies that will contribute to these goals. The results of the study are summarized in a set of seven documents, comprising six regional reports and the global overview contained in this volume. This document, which synthesises the results of the six regional analyses as well as discussing global trends, cross-cutting issues and possible implementation modalities, presents an overview of the complete study. This document is supplemented by two case study reports of development issues of importance to farming systems globally.", "formats": [{"name": "WWW:LINK-1.0-http--link"}, {"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["Slope", "South Asia", "Global Farming Systems Study", "South Asia"], "edition": "First edition."}, "links": [{"href": "http://lnweb18.worldbank.org/ESSD/essdext.nsf/11ByDocName/StrategyDraftRuralStrategy", "description": "Link to The World Bank Group - Agriculture and Rural Development", "protocol": "WWW:LINK-1.0-http--link", "rel": "information"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c86a15f0-88fd-11da-a88f-000d939bc5d8/resources/1078.zip", "name": "1078.zip", "description": "Slope of South Asia- gridfile", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": "download"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c86a15f0-88fd-11da-a88f-000d939bc5d8/thumbnail/1078_s.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/c86a15f0-88fd-11da-a88f-000d939bc5d8/large_thumbnail/1078.gif", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "c86a15f0-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "c86a15f0-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/c86a15f0-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-05-01T00:00:00Z"}}, {"id": "da88e900-88fd-11da-a88f-000d939bc5d8", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[30.21, -26.86], [30.21, -10.47], [40.84, -10.47], [40.84, -26.86], [30.21, -26.86]]]}, "properties": {"themes": [{"concepts": [{"id": "elevation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2019-11-22T14:38:16", "language": "eng", "title": "Map of dominant slope classes; Carta de classes de declive, Angonia", "description": "only legend sheet", "formats": [{"name": "WWW:DOWNLOAD-1.0-http--download"}], "keywords": ["Topography", "Physiography", "Slope", "Sloping Land", "Soil Types", "Mozambique"], "contacts": [{"name": "Spiers, B.", "organization": null, "position": null, "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": null}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": null, "organization": "FAO - UN AGL Documentation Center", "position": null, "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "AGL-Documentation-Centre@fao.org"}], "addresses": [{"deliveryPoint": ["Via delle Terme di Caracalla"], "city": "Rome", "administrativeArea": null, "postalCode": "00100", "country": "Italy"}], "links": [{"href": null}]}], "denominator": "100000"}, "links": [{"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/da88e900-88fd-11da-a88f-000d939bc5d8/resources/mozambico-1744-land_unit_map-soils-1-200,000.jpg", "name": "mozambico-1744-land_unit_map-soils-1-200,000.jpg", "protocol": "WWW:DOWNLOAD-1.0-http--download", "rel": null}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/da88e900-88fd-11da-a88f-000d939bc5d8/thumbnail/mozambico-1744-land_unit_map-soils-1-200,000_s.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://storage.googleapis.com/fao-maps-catalog-data/uuid/da88e900-88fd-11da-a88f-000d939bc5d8/large_thumbnail/mozambico-1744-land_unit_map-soils-1-200,000.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "da88e900-88fd-11da-a88f-000d939bc5d8", "name": "item", "description": "da88e900-88fd-11da-a88f-000d939bc5d8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/da88e900-88fd-11da-a88f-000d939bc5d8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date-time": "2019-11-22T14:38:16Z"}}, {"id": "f37ea2a0-e2a5-4a54-932e-51395e172207", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2022-10-14T12:35:07", "language": "eng", "title": "AEZ classification by climate, soil, terrain, land cover (57 classes) - GAEZ v4 (Global - about 1 km)", "description": "AEZ classification by climate, soil, terrain and land cover (57 classes) at about 1 km resolution at the equator, using different climate data source and based on different Representative Concentration Pathways (RCPs) according to the time period as follows:\n- climate data source CRUTS32 based on historical data for the time period 1981-2010;\n- climate data source ENSEMBLE based on the Representative Concentration Pathway RCP8.5 for time periods 2041-2070 and 2071-2100.\n\nThe AEZ classification by climate, soil, terrain and land cover dataset is part of the GAEZ v4 Theme 1 Land and Water Resources, Agro-Ecological Zones sub-theme. \n\nThe agro-ecological zones classification provides a characterization of bio-physical resources relevant to agricultural production systems. AEZ definitions and map classes follow a rigorous methodology and an explicit set of principles. The inventory combines spatial layers of thermal and moisture regimes with broad categories of soil/terrain qualities. It also indicates locations of areas with irrigated soils and shows land with severely limiting bio-physical constraints including very cold and very dry (desert) areas as well as areas with very steep terrain or very poor soil/terrain conditions.\n\nFor further details, please refer to the GAEZ v4 Model Documentation.", "formats": [{"name": "GeoTIFF"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["climate", "land cover", "soil", "terrain", "elevation and terrain slopes", "protected areas", "administrative units", "watersheds", "population", "livestock", "land and water resources", "agro-ecological zones", "GAEZ v4_theme1_agro-ecological zones", "GAEZ v4_theme1", "World"], "contacts": [{"name": "Fischer Gunther", "organization": "International Institute for Applied Systems Analysis (IIASA)", "position": "Emeritus Research Scholar", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "fisher@iiasa.ac.at"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://iiasa.ac.at/", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "International Institute for Applied Systems Analysis (IIASA) website", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "UNFAO - NSL Geospatial Unit", "organization": "Food and Agriculture Organization of the United Nations GAEZ v4 Data Portal", "position": null, "roles": ["distributor"], "phones": [{"value": null}], "emails": [{"value": "gaez@fao.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://gaez-data-portal-hqfao.hub.arcgis.com/", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "GAEZ v4 Data Portal", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "International Institute for Applied Systems Analysis (IIASA)", "roles": ["creator"]}], "edition": "v.4"}, "links": [{"href": "http://www.fao.org/3/cb4744en/cb4744en.pdf", "name": "GAEZ v4 Model Documentation", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://io.apps.fao.org/geoserver/wms/GAEZ_V4/LR_AEZ_V9V2/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "AEZ_V9V2", "description": "AEZ classification by climate/soil/terrain/LC (57 classes)", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"href": "https://gaez.fao.org/", "name": "GAEZ v4 Data Portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://data.apps.fao.org:/map/catalog/srv/api/records/9a9ed6cf-83cc-4b42-b295-305184d3f0b8/attachments/Dominant%20AEZ%20classification.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "f37ea2a0-e2a5-4a54-932e-51395e172207", "name": "item", "description": "f37ea2a0-e2a5-4a54-932e-51395e172207", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f37ea2a0-e2a5-4a54-932e-51395e172207"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2041-01-01T00:00:00Z", "2099-12-31T00:00:00Z"]}}, {"id": "fd3fc7ff-07d3-477a-a905-c46dbecc9dcc", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [-180.0, 90.0], [180.0, 90.0], [180.0, -90.0], [-180.0, -90.0]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}], "updated": "2022-10-20T16:43:59", "language": "eng", "title": "Soil and terrain suitability for rain-fed maize, with high and low inputs - GAEZ v4 (Global - about 1 km)", "description": "Soil and terrain suitability for maize dataset, at about 1 km resolution, investigates soil suitability and both soil and terrain suitability for maize, under rain-fed condition, with high and low inputs. \n\nThe Soil and terrain suitability for crops datasets are part of the GAEZ v4 Theme 1 Land and Water Resources, Soil Suitability sub-theme. \n\nIn the GAEZ v4 the Soil Suitability assessment sub-theme, soil qualities are evaluated for each crop and input/management level and for different water supply systems (rain-fed and irrigated). The results are crop and input level specific soil suitability ratings, which are used for the crop suitability and attainable yield assessment presented in Theme 4.\nTerrain suitability is also estimated according to terrain-slope classes and location-specific rainfall amounts and rainfall-concentration characteristics to account for soil erosion risks related to crop cover dynamics. Soil and terrain suitability are combined in an edaphic rating factor by crop, water supply type and input level, which is an important input for the estimation of agro-ecological crop suitability and attainable yields presented in Theme 4.\n\nFor further details, please refer to the GAEZ v4 Model Documentation.", "formats": [{"name": "GeoTIFF"}, {"name": "WWW:LINK-1.0-http--link"}, {"name": "OGC:WMS-1.3.0-http-get-map"}], "keywords": ["climate", "land cover", "soil", "elevation and terrain slopes", "protected areas", "administrative units", "watersheds", "population", "livestock", "soil suitability", "GAEZ v4_theme1_soil suitability", "GAEZ v4_theme1", "World"], "contacts": [{"name": "Fischer Gunther", "organization": "International Institute for Applied Systems Analysis (IIASA)", "position": "Emeritus Research Scholar", "roles": ["originator"], "phones": [{"value": null}], "emails": [{"value": "fisher@iiasa.ac.at"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://iiasa.ac.at/", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "International Institute for Applied Systems Analysis (IIASA) website", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "UNFAO - NSL Geospatial Unit", "organization": "Food and Agriculture Organization of the United Nations GAEZ v4 Data Portal", "position": null, "roles": ["distributor"], "phones": [{"value": null}], "emails": [{"value": "gaez@fao.org"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": "https://gaez-data-portal-hqfao.hub.arcgis.com/", "protocol": "WWW:LINK-1.0-http--link", "protocol_url": "", "name": "GAEZ v4 Data Portal", "name_url": "", "description": null, "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "International Institute for Applied Systems Analysis (IIASA)", "roles": ["creator"]}], "edition": "v.4"}, "links": [{"href": "http://www.fao.org/3/cb4744en/cb4744en.pdf", "name": "GAEZ v4 Model Documentation", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://io.apps.fao.org/geoserver/wms/GAEZ_V4/LR_SOI2/v2?service=WMS&version=1.3.0&request=GetCapabilities", "name": "SOI2", "description": "Land and Water Resources - Soil suitability - Soil and terrain suitability", "protocol": "OGC:WMS-1.3.0-http-get-map", "rel": null}, {"href": "https://gaez.fao.org/", "name": "GAEZ v4 Data Portal", "protocol": "WWW:LINK-1.0-http--link", "rel": null}, {"href": "https://data.apps.fao.org:/map/catalog/srv/api/records/fd3fc7ff-07d3-477a-a905-c46dbecc9dcc/attachments/soil_suitability.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "fd3fc7ff-07d3-477a-a905-c46dbecc9dcc", "name": "item", "description": "fd3fc7ff-07d3-477a-a905-c46dbecc9dcc", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/fd3fc7ff-07d3-477a-a905-c46dbecc9dcc"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["2041-01-01T00:00:00Z", "2099-12-31T00:00:00Z"]}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=slope&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=slope&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=slope&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=slope&offset=40", "hreflang": "en-US"}], "numberMatched": 40, "numberReturned": 40, "distributedFeatures": [], "timeStamp": "2026-05-26T01:09:33.793112Z"}