{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.8090608", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:42Z", "type": "Journal Article", "created": "2020-01-13", "title": "Construction of ecological security pattern based on the importance of ecosystem service functions and ecological sensitivity assessment: a case study in Fengxian County of Jiangsu Province, China", "description": "Abstract

The construction of ecological security pattern is one of the important ways to alleviate the contradiction between economic development and ecological protection, as well as the important contents of ecological civilization construction. How to scientifically construct the ecological security pattern of small-scale counties, and achieve sustainable economic development based on ecological environment protection, it has become an important proposition in regulating the ecological process effectively. Taking Fengxian County of China as an example, this paper selected the importance of ecosystem service functions and ecological sensitivity to evaluate the ecological importance and identify ecological sources. Furthermore, we constructed the ecological resistance surface by various landscape assignments and nighttime lighting modifications. Through a minimum cumulative resistance model, we obtained ecological corridors and finally constructed the ecological security pattern comprehensively combining with ecological resistance surface construction. Accordingly, we further clarified the specific control measures for ecological security barriers and regional functional zoning. This case study shows that the ecological security pattern is composed of ecological sources and corridors, where the former plays an important security role, and the latter ensures the continuity of ecological functions. In terms of the spatial layout, the ecological security barriers built based on ecological security pattern and regional zoning functions are away from the urban core development area. As for the spatial distribution, ecological sources of Fengxian County are mainly located in the central and southwestern areas, which is highly coincident with the main rivers and underground drinking water source area. Moreover, key corridors and main corridors with length of approximately 115.71\uffc2\uffa0km and 26.22\uffc2\uffa0km, respectively, formed ecological corridors of Fengxian County. They are concentrated in the western and southwestern regions of the county which is far away from the built-up areas with strong human disturbance. The results will provide scientific evidence for important ecological land protection and ecological space control at a small scale in underdeveloped and plain counties. In addition, it will enrich the theoretical framework and methodological system of ecological security pattern construction. To some extent, it also makes a reference for improving the regional ecological environment carrying capacities and optimizing the ecological spatial structure in such kinds of underdeveloped small-scale counties.

The intensive use of soil and water resources results in a disbalance between the environmental and economic objectives of the river basin. The water quality management model supports good water status, especially downstream of dams and reservoirs, as in the case of the Sutla/Sotla river basin. This research aims to develop a new, improved integrated water quality management model of rural transboundary basins to achieve environmental objectives and protection of the Natura 2000 sites. The model uses river basin pressure analysis to assess the effects of climate and hydrological extreme impacts, and a programme of basic and supplementary measures. The impact assessment of BASE MODEL, PAST, and FUTURE scenarios was modelled using the soil and water assessment tool (SWAT) based on land use, climate and hydrological data, climate change, presence or lack of a reservoir, and municipal wastewater and agriculture measures. Eight future climate change scenarios were obtained with optimistic (RCP4.5) and pessimistic (RCP8.5) forecasts for two periods (2020\u20132050 and 2070\u20132100), both with and without a reservoir. The model shows that the most significant impacts on the waterbody come from the nutrients and sediment hotspots, also shows the risk of not achieving good water status, and water eutrophication risk. The modelled average annual increase in sediment is from 4 to 25% and in total N from 1 to 8%, while the change in total P is from \u22125 to 6%. The conducted analysis provides a base for the selection of tailor-made measures from the catalogue of the supplementary measures that will be outlined in future research.

", "keywords": ["environmental objectives WFD", "integrated water quality management model", "environmental objectives WFD ; integrated water quality management model ; good water status ; rural transboundary river basin ; Sutla/Sotla ; climate change ; scenarios ; SWAT ; measures", "rural transboundary river basin", "01 natural sciences", "11. Sustainability", "hidrologija", "SWAT", "14. Life underwater", "kakovost voda", "0105 earth and related environmental sciences", "vodotoki", "2. Zero hunger", "scenarios", "measures", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Sotla", "climate change", "info:eu-repo/classification/udc/556", "13. Climate action", "vodni mened\u017ement", "Sutla/Sotla", "0401 agriculture", " forestry", " and fisheries", "SWAT model", "good water status"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/18/2569/pdf"}, {"href": "https://doi.org/20.500.12556/RUL-136343"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.12556/RUL-136343", "name": "item", "description": "20.500.12556/RUL-136343", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12556/RUL-136343"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-17T00:00:00Z"}}, {"id": "3185943994", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:28:43Z", "type": "Journal Article", "created": "2022-03-17", "title": "Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003\u20132017)", "description": "

Abstract. Quantifying the dust optical depth (DOD) and its uncertainty across spatiotemporal scales is key to understanding and constraining the dust cycle and its interactions with the Earth System. This study quantifies the DOD along with its monthly and year-to-year variability between 2003 and 2017 at global and regional levels based on the MIDAS (ModIs Dust AeroSol) dataset, which combines Moderate Resolution Imaging Spectroradiometer (MODIS)-Aqua retrievals and Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), reanalysis products. We also describe the annual and seasonal geographical distributions of DOD across the main dust source regions and transport pathways. MIDAS provides columnar mid-visible (550\u2009nm) DOD at fine spatial resolution (0.1\u2218\u00d70.1\u2218), expanding the current observational capabilities for monitoring the highly variable spatiotemporal features of the dust burden. We obtain a global DOD of 0.032\u00b10.003 \u2013 approximately a quarter (23.4\u2009%\u00b12.4\u2009%) of the global aerosol optical depth (AOD) \u2013 with about 1\u00a0order of magnitude more DOD in the Northern Hemisphere (0.056\u00b10.004; 31.8\u2009%\u00b12.7\u2009%) than in the Southern Hemisphere (0.008\u00b10.001; 8.2\u2009%\u00b11.1\u2009%) and about 3.5 times more DOD over land (0.070\u00b10.005) than over ocean (0.019\u00b10.002). The Northern Hemisphere monthly DOD is highly correlated with the corresponding monthly AOD (R2=0.94) and contributes 20\u2009% to 48\u2009% of it, both indicating a dominant dust contribution. In contrast, the contribution of dust to the monthly AOD does not exceed 17\u2009% in the Southern Hemisphere, although the uncertainty in this region is larger. Among the major dust sources of the planet, the maximum DODs (\u223c1.2) are recorded in the Bod\u00e9l\u00e9 Depression of the northern Lake Chad Basin, whereas moderate-to-high intensities are encountered in the Western Sahara (boreal summer), along the eastern parts of the Middle East (boreal summer) and in the Taklamakan Desert (spring). Over oceans, major long-range dust transport is observed primarily along the tropical Atlantic (intensified during boreal summer) and secondarily in the North Pacific (intensified during boreal spring). Our calculated global and regional averages and associated uncertainties are consistent with some but not all recent observation-based studies. Our work provides a simple yet flexible method to estimate consistent uncertainties across spatiotemporal scales, which will enhance the use of the MIDAS dataset in a variety of future studies.

", "keywords": ["Mineral dusts", ":Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia [\u00c0rees tem\u00e0tiques de la UPC]", "Physics", "QC1-999", "MIDAS global dataset", "16. Peace & justice", "01 natural sciences", "Atmospheric Sciences", "Climate Action", "Chemistry", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria agroaliment\u00e0ria::Ci\u00e8ncies de la terra i de la vida::Climatologia i meteorologia", "13. Climate action", "Mineral dust particles", "Simulaci\u00f3 per ordinador", "Pols", "Meteorology & Atmospheric Sciences", "Datasets", "Dust optical depth (DOD)", "Earth System", "QD1-999", "Astronomical and Space Sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/22/3553/2022/acp-22-3553-2022.pdf"}, {"href": "https://escholarship.org/content/qt9v38c6qs/qt9v38c6qs.pdf"}, {"href": "https://doi.org/3185943994"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3185943994", "name": "item", "description": "3185943994", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3185943994"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-19T00:00:00Z"}}, {"id": "20.500.12556/RUNG-8752", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:46Z", "type": "Journal Article", "created": "2023-12-22", "title": "Variability in sediment particle size, mineralogy, and Fe mode of occurrence across dust-source inland drainage basins: the case of the lower Dr\u00e2a Valley, Morocco", "description": "

Abstract. The effects of desert dust upon climate and ecosystems depend strongly on its particle size and size-resolved mineralogical composition. However, there is very limited quantitative knowledge on the particle size and composition of the parent sediments along with their variability within dust-source regions, particularly in dust emission hotspots. The lower Dr\u00e2a Valley, an inland drainage basin and dust hotspot region located in the Moroccan Sahara, was chosen for a comprehensive analysis of sediment particle size and mineralogy. Different sediment type samples (n=\u200942) were collected, including paleo-sediments, paved surfaces, crusts, and dunes, and analysed for particle-size distribution (minimally and fully dispersed samples) and mineralogy. Furthermore, Fe sequential wet extraction was carried out to characterise the modes of occurrence of Fe, including Fe in Fe (oxyhydr)oxides, mainly from goethite and hematite, which are key to dust radiative effects; the poorly crystalline pool of Fe (readily exchangeable ionic Fe and Fe in nano-Fe oxides), relevant to dust impacts upon ocean biogeochemistry; and structural Fe. Results yield a conceptual model where both particle size and mineralogy are segregated by transport and deposition of sediments during runoff of water across the basin and by the precipitation of salts, which causes a sedimentary fractionation. The proportion of coarser particles enriched in quartz is higher in the highlands, while that of finer particles rich in clay, carbonates, and Fe oxides is higher in the lowland dust emission hotspots. There, when water ponds and evaporates, secondary carbonates and salts precipitate, and the clays are enriched in readily exchangeable ionic Fe, due to sorption of dissolved Fe by illite. The results differ from currently available mineralogical atlases and highlight the need for observationally constrained global high-resolution mineralogical data for mineral-speciated dust modelling. The dataset obtained represents an important resource for future evaluation of surface mineralogy retrievals from spaceborne spectroscopy.

", "keywords": ["Mineral dusts", "geology", "550", "QC1-999", "Climate", "01 natural sciences", "\u00c0rees tem\u00e0tiques de la UPC::Desenvolupament hum\u00e0 i sostenible::Enginyeria ambiental", "Pols minerals", "QD1-999", "Sahara", "0105 earth and related environmental sciences", "mineral dust", "S\u00e0hara", "info:eu-repo/classification/ddc/550", "ddc:550", "Physics", "Aire--Contaminaci\u00f3", "15. Life on land", "info:eu-repo/classification/udc/502.3/.7", "6. Clean water", "Earth sciences", "Chemistry", "13. Climate action", "Air--Pollution", "Desert dust", "aerosols"]}, "links": [{"href": "https://acp.copernicus.org/articles/23/15815/2023/acp-23-15815-2023.pdf"}, {"href": "https://doi.org/20.500.12556/RUNG-8752"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.12556/RUNG-8752", "name": "item", "description": "20.500.12556/RUNG-8752", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.12556/RUNG-8752"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-22T00:00:00Z"}}, {"id": "10.5281/zenodo.16894844", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:05Z", "type": "Journal Article", "created": "2022-05-26", "title": "Combined traffic control of irrigation on heterogeneous field", "description": "

In arid areas, such as Hungary, most climate models forecast a rise in water scarcity. Irrigated land accounts for 2% of agricultural land in Hungary, with most irrigation technology being relatively outdated. The aim of this research was to lay the foundation for a combined traffic management system for a water-saving precision irrigation system on an 85-ha field in the Tisza River basin's reference region. High-precision soil maps were created to support the water-efficient variable-rate irrigation system by selecting and selecting areas for different agrotechnical implementations and precision farming zones.

", "keywords": ["2. Zero hunger", "0106 biological sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16894844"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Agraria%20Debreceniensis", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16894844", "name": "item", "description": "10.5281/zenodo.16894844", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16894844"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-26T00:00:00Z"}}, {"id": "10.5281/zenodo.16842801", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:05Z", "type": "Journal Article", "created": "2022-06-17", "title": "Natural Time Series Parameters Forecasting: Validation of the Pattern-Sequence-Based Forecasting (PSF) Algorithm; A New Python Package", "description": "

Climate change has contributed substantially to the weather and land characteristic phenomena. Accurate time series forecasting for climate and land parameters is highly essential in the modern era for climatologists. This paper provides a brief introduction to the algorithm and its implementation in Python. The pattern-sequence-based forecasting (PSF) algorithm aims to forecast future values of a univariate time series. The algorithm is divided into two major processes: the clustering of data and prediction. The clustering part includes the selection of an optimum value for the number of clusters and labeling the time series data. The prediction part consists of the selection of a window size and the prediction of future values with reference to past patterns. The package aims to ease the use and implementation of PSF for python users. It provides results similar to the PSF package available in R. Finally, the results of the proposed Python package are compared with results of the PSF and ARIMA methods in R. One of the issues with PSF is that the performance of forecasting result degrades if the time series has positive or negative trends. To overcome this problem difference pattern-sequence-based forecasting (DPSF) was proposed. The Python package also implements the DPSF method. In this method, the time series data are first differenced. Then, the PSF algorithm is applied to this differenced time series. Finally, the original and predicted values are restored by applying the reverse method of the differencing process. The proposed methodology is tested on several complex climate and land processes and its potential is evidenced.

", "keywords": ["Technology", "330", "QH301-705.5", "univariate", "T", "Physics", "QC1-999", "forecasting", "02 engineering and technology", "Engineering (General). Civil engineering (General)", "forecasting; univariate; time series; Python; PSF", "Chemistry", "0203 mechanical engineering", "13. Climate action", "0202 electrical engineering", " electronic engineering", " information engineering", "time series", "TA1-2040", "Biology (General)", "QD1-999", "PSF", "Python"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/12/12/6194/pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/12/6194/pdf"}, {"href": "https://research.usq.edu.au/download/a41f7e6afaf72d3aab08e4fbf5850ce9baed364db9cd274b284e7956b4aa1a6e/1339682/applsci-12-06194-v3.pdf"}, {"href": "https://doi.org/10.5281/zenodo.16842801"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16842801", "name": "item", "description": "10.5281/zenodo.16842801", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16842801"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-17T00:00:00Z"}}, {"id": "10.5281/zenodo.16894966", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:05Z", "type": "Report", "created": "2023-02-22", "title": "Management of alternative water resources for variable rate irrigation - a Hungarian case study", "description": "

Most of the climate scenarios predict increased water scarcity in arid areas, such as Hungary. However, the irrigated area in Hungary covers 2% of agricultural land, mostly with outdated irrigation technology. The aim of the research was to develop the basis of a variable rate irrigation for water-saving precision sprinkler irrigation system on an arable area (85 ha) which is located in the reference area of the Tisza Riven Basin. There is limited available water resources at the site, therefore alternative water sources utilization system was set up for irrigation to adapt to climate change and reduce fertilizers. The basis of the alternative water resources are excess water, treated wastewater, biogas fermentation sludge which is collected in a water reservoir with 114000 m3 capacity. For proper irrigation scheduling, heterogeneity of topography, hydrological, soil and crop conditions has to be explored and monitored. Therefore physically-based modelling of the water balance and remote sensing-based surplus water and  vegetation status surveying are tested to use for accurate irrigation scheduling.Shallow groundwater and/or soil compaction can also contribute to excess inland water. This may occur even if there are drought periods in a year (e.g. in the Pannonian region), resulting in spots with a low crop yield. A LiDAR-based digital elevation model was found to provide appropriate data to identify sites affected by excess inland water. The spots identified can be used as spatial input data to compile a variable rate irrigation prescription map for imposing reduced (or zero) irrigation at areas more vulnerable to the occurrence of excess inland water. The water balance was also assessed for sites with physically-based models. Hydrus was used to model soil moisture changes at the Hungarian case study site.A model concept for crop evapotranspiration estimation was also developed based on vegetation indices calculated from satellite imagery. Several combinations of sensors and remote sensing products were tested to use in ETc modelling potentially. This approach was tested both at the Hungarian case study sites. Remote sensing-based analysis of crop evapotranspiration, combined with physically-based modelling, appears to be a promising method in water balance modelling of maize fields, especially if these fields are in summer when the crop is fully developed. However, the remotely sensed information verification is essential for the proper utilization of the remote sensing data in ETc modelling and predicting the spatio-temporal dynamics of crop yield, evapotranspiration, and irrigation demands.There is a need further benchmark scenarios to improve both physically-based models and satellite-based crop evapotranspiration models to achieve more accurate and valid simulations.The abstract was funded by European Union’s Horizon 2020 “WATERAGRI Water retention and nutrient recycling in soils and steams for improved agricultural production” research and innovation programme under Grant Agreement No. 858375. This research was supported by the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.

", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16894966"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16894966", "name": "item", "description": "10.5281/zenodo.16894966", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16894966"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-15T00:00:00Z"}}, {"id": "10.5281/zenodo.16895104", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:05Z", "type": "Journal Article", "created": "2021-03-29", "title": "Wheat Yield Forecasting for the Tisza River Catchment Using Landsat 8 NDVI and SAVI Time Series and Reported Crop Statistics", "description": "

Due to the increasing global demand of food grain, early and reliable information on crop production is important in decision making in agricultural production. Remote sensing (RS)-based forecast models developed from vegetation indices have the potential to give quantitative and timely information on crops for larger regions or even at farm scale. Different vegetation indices are being used for this purpose, however, their efficiency in estimating crop yield certainly needs to be tested. In this study, wheat yield was derived by linear regressing reported yield values against a time series of six different peak-seasons (2013\u20132018) using the Landsat 8-derived Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI). NDVI- and SAVI-based forecasting models were validated based on 2018\u20132019 datasets and compared to evaluate the most appropriate index that performs better in forecasting wheat production in the Tisza river basin. Nash-Sutcliffe efficiency index was positive with E1 = 0.716 for the model from NDVI and for SAVI E1 = 0.909, which means that the forecasting method developed and performed good forecast efficiency. The best time for wheat yield prediction with Landsat 8-SAVI and NDVI was found to be the beginning of full biomass period from the 138th to 167th day of the year (18 May to 16 June; BBCH scale: 41\u201371) with high regression coefficients between the vegetation indices and the wheat yield. The RMSE of the NDVI-based prediction model was 0.357 t/ha (NRMSE: 7.33%). The RMSE of the SAVI-based prediction model was 0.191 t/ha (NRMSE 3.86%). The validation of the results revealed that the SAVI-based model provided more accurate forecasts compared to NDVI. Overall, probable yield amount is possible to predict far before harvest (six weeks earlier) based on Landsat 8 NDVI and SAVI and generating simple thresholds for yield forecasting, and a potential loss of wheat yield can be mapped.

", "keywords": ["Landsat 8", "2. Zero hunger", "SAVI", "NDVI", "S", "13. Climate action", "wheat", "yield forecasting", "Agriculture", "15. Life on land", "6. Clean water"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/4/652/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/4/652/pdf"}, {"href": "https://doi.org/10.5281/zenodo.16895104"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16895104", "name": "item", "description": "10.5281/zenodo.16895104", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16895104"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-29T00:00:00Z"}}, {"id": "10.5281/zenodo.16895135", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:05Z", "type": "Journal Article", "created": "2023-08-31", "title": "Comparing the environmental impact of poultry manure and chemical fertilizers", "description": "

One of the challenges in livestock production is the significant volume of manure generated, which must be appropriately managed to mitigate its environmental impacts. Untreated manure poses a potential hazard to soil, surface water, groundwater, and human and animal health. Based on the life cycle assessment (LCA) method, the research aims to evaluate the ecological load of composted-pelletized poultry litter (CPPL) in maize and winter wheat production. Furthermore, the environmental loads of CPPL applications are compared with those of other N, P, and K fertilizers. The research study utilized the openLCA software with the Agribalyse 3.1 database to calculate eleven impact categories. In the case of maize, only ozone depletion has higher emissions. For winter wheat production, scenarios where the P fertilizer was MAP had lower impacts for NPK combinations. While for the CPPL, fuel was the main contributor to loads, for the NPK fertilizer scenarios, energy use for fertilizer production contributed more. The results can be relevant to the burdens of using different nutrient replacement products and creating diverse feed mixtures. The application of CPPL promises to reduce the burden of crop production and, consequently, feed production. Additionally, it allows for the recovery of manure not useable by the livestock industry.

", "keywords": ["2. Zero hunger", "0211 other engineering and technologies", "environmental impacts", "02 engineering and technology", "15. Life on land", "maize", "Engineering (General). Civil engineering (General)", "7. Clean energy", "winter wheat", "12. Responsible consumption", "life cycle assessment", "HT165.5-169.9", "13. Climate action", "composted-pelletized poultry litter", "0202 electrical engineering", " electronic engineering", " information engineering", "TA1-2040", "City planning", "chemical fertilizers"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16895135"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Built%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16895135", "name": "item", "description": "10.5281/zenodo.16895135", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16895135"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-31T00:00:00Z"}}, {"id": "10.5281/zenodo.17097740", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:06Z", "type": "Dataset", "title": "Soil Ecological Data from the CATENA Study \"Altitudinal patterns of soil carbon and nitrogen dynamics among contrasting forest and alpine shrub meadow ecosystems on the highest peak of the Qinling Mountains\"", "description": "This dataset contains the data supporting the findings of the study 'Altitudinal patterns of soil carbon and nitrogen dynamics among contrasting forest and alpine shrub meadow ecosystems on the highest peak of the Qinling Mountains' (submitted to CATENA). This study aimed to investigate the variation patterns in the stocks, biochemical stability, and turnover rates of soil organic carbon (SOC) and soil total nitrogen (STN) pools along the altitudinal gradient. The data include: Yang_2025.txt: A text file containing measured soil carbon and nitrogen parameters (e.g., Soil Organic Carbon (SOC), soil total nitrogen (STN)) for all samples. README_Yang_2025.txt: A text file providing a comprehensive description of the project title, author information, data collection methods and timing, dataset content and structure, software versions used, and variable definitions. This dataset is currently under restricted access status due to the unpublished status of associated studies. It serves as an invaluable resource for validating our research findings and for future investigations predicting mountain ecosystem responses to global change.", "keywords": ["Altitude; C and N stabilization; C-13 and N-15; Climate change; C and N pools"], "contacts": [{"organization": "Yang, Wen", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17097740"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17097740", "name": "item", "description": "10.5281/zenodo.17097740", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17097740"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-11T00:00:00Z"}}, {"id": "10.5281/zenodo.17338226", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:07Z", "type": "Dataset", "title": "Model data for \"Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)\"", "description": "500 m fire carbon emissions and burned area as part of the publication: 'Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)' Dave van Wees1, Guido R. van der Werf1, James T. Randerson2, Brendan M. Rogers3, Yang Chen2, Sander Veraverbeke1, Louis Giglio4, and Douglas C. Morton5 1Department of Earth Sciences, Vrije Universiteit, Amsterdam, 1081 HV, The Netherlands2Department of Earth System Science, University of California, Irvine, CA 92697, USA3Woodwell Climate Research Center, Falmouth, MA 02540, USA4Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA5Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA DOI: https://doi.org/10.5194/gmd-15-8411-2022 \u00a0 UPDATE OF DATASET TO 2023: This dataset has now been extended to 2023. Since the first release of this dataset, multiple updates to the model input data have been made: - Update from MODIS C6 to MODIS C6.1 for all MODIS input data, including MCD12Q1 land cover types, MCD14ML active fires, MCD15A2H fPAR, MOD44B VCF, MOD44W land-water mask, and MCD64A1 burned area.- Update of Hansen forest loss data from v1.9 to v1.11.- Update of GLEAM evaporative stress data from v3.6b to v3.7b.- Extension of ERA5-land data to 2023.- Addition of land cover type layers to the 500-m resolution data files. \u00a0 Files contain 500-m (per MODIS tile) and 0.25 degree aggregated (global grid) carbon emissions and burned area from biomass burning for 2002-2022, as part of the paper 'Global biomass burning fuel consumption and emissions at 500-m spatial resolution based on the Global Fire Emissions Database (GFED)' published in Geoscientific Model Development (https://doi.org/10.5194/gmd-15-8411-2022). 500-m resolution files include land cover type grids. 0.25 degree global grid files also include biome partitioning and accompanying biome fractional cover grids. Zip archives with filenames '500m_YYYY.zip' contain annual files named 'Model500m_2002-2023yr_h##v##_YYYY.nc', which are the 500-meter resolution model results per MODIS tile using the MODIS sinusoidal projection. Carbon emission data layers are: - Total biomass burning carbon emissions from aboveground; g C m-2 month-1 (/MOD_Grid/emissions/C_AG_TOT) - Total biomass burning carbon emissions from belowground; g C m-2 month-1 (/MOD_Grid/emissions/C_BG_TOT) - Fire-related forest loss carbon emissions from aboveground; g C m-2 month-1 (/MOD_Grid/emissions/C_AG_FL) - Fire-related forest loss carbon emissions from belowground; g C m-2 month-1 (/MOD_Grid/emissions/C_BG_FL) Total emissions are calculated as: C_AG_TOT + C_BG_TOT. Total fire-related forest loss emissions are calculated as: C_AG_FL + C_BG_FL. Burned area data layers are: - Total burned area; fraction of 500-m grid cell per month (/MOD_Grid/burned_area/BA_TOT) - Burned area from fire-related forest loss; fraction of 500-m grid cell per month (/MOD_Grid/burned_area/BA_FL) The Zip archive with filename '025d_2002_2023.zip' contains annual files named 'Model500m_2002-2023yr_025d_YYYY.nc', which are the 500-m model results aggregated to a 0.25 degree global lat-lon grid. These files contain the same variables as the 500-m files, but aggregated to 0.25 degree resolution (MOD_CMG025). Furthermore, these files include biome partitioning of emissions and burned area (MOD_CMG025BIOME) and provide accompanying biome fractional cover grids for all 20 biomes (variable 'biomes'). Biomes are listed in detail in Table S1 of the van Wees et al. (2022) paper. The biomes 'water', 'snow/ice' and 'barren' were excluded from Table S1 because of their negligible share, but are included in the files provided here for completeness.", "keywords": ["13. Climate action", "11. Sustainability", "15. Life on land", "7. Clean energy"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17338226"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17338226", "name": "item", "description": "10.5281/zenodo.17338226", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17338226"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-26T00:00:00Z"}}, {"id": "11577/3398065", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:14Z", "type": "Journal Article", "created": "2021-07-25", "title": "Can Long-Term Experiments Predict Real Field N and P Balance and System Sustainability? Results from Maize, Winter Wheat, and Soybean Trials Using Mineral and Organic Fertilisers", "description": "

Agri-environmental indicators such as nutrient balance may play a key role in soil and water quality monitoring, although short-term experiments might be unable to capture the sustainability of cropping systems. Therefore, the objectives of this study are: (i) to evaluate the reliability of long-term experimental N and P balance estimates to predict real field (RF) (i.e., short-term transitory) conditions; and (ii) to compare the sustainability of short- and long-term experiments. The LTE-based predictions showed that crops are generally over-fertilised in RF conditions, particularly maize. Nutrient balance predictions based on the LTE data tended to be more optimistic than those observed under RF conditions, which are often characterised by lower outputs; in particular, 13, 44, and 47% lower yields were observed for winter wheat, maize, and soybean, respectively, under organic management. The graphical evaluation of N and P use efficiency demonstrated the benefit of adopting crop rotation practices and the risk of nutrient loss when liquid organic fertiliser was applied on a long-term basis. In conclusion, LTE predictions may depend upon specific RF conditions, representing potential N and P use efficiencies that, in RF, may be reduced by crop yield-limiting factors and the specific implemented crop sequence.

", "keywords": ["2. Zero hunger", "0106 biological sciences", "S", "phosphorus use efficiency", "phosphorus balance", "Agriculture", "04 agricultural and veterinary sciences", "nitrogen balance", "15. Life on land", "01 natural sciences", "nitrogen use efficiency", "6. Clean water", "12. Responsible consumption", "Long-term experiment; Nitrogen balance; Nitrogen use efficiency; Phosphorus balance; Phosphorus use efficiency; Real field condition", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "real field condition", "long-term experiment"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/8/1472/pdf"}, {"href": "https://www.research.unipd.it/bitstream/11577/3398065/1/Piccoli%20et%20al%20_2021_agronomy-11-01472-v2.pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/8/1472/pdf"}, {"href": "https://doi.org/11577/3398065"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11577/3398065", "name": "item", "description": "11577/3398065", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11577/3398065"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-24T00:00:00Z"}}, {"id": "2078.1/247957", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:50Z", "type": "Report", "created": "2021-03-04", "title": "The SPLASH Action Group – Towards standardized sampling strategies along the soil-to-hydrosystems continuum in permafrost landscapes", "description": "

<p><span>The Action Group called ‘Standardized methods across Permafrost Landscapes: from Arctic Soils to Hydrosystems’ (SPLASH), funded by the International Permafrost Association, is a community-driven effort aiming to provide a suite of standardized field strategies for sampling mineral and organic components in soils, sediments, surface water bodies and coastal environments across permafrost landscapes. This unified approach will allow data to be shared and compared, thus improving our understanding of the processes occurring during lateral transport in circumpolar Arctic watersheds. This is an international and transdisciplinary effort aiming to provide a fieldwork “tool box” of the most relevant sampling schemes and sample conservation procedures for mineral and organic permafrost pools.</span></p><p><span>With climate change, permafrost soils are undergoing drastic transformations. B</span><span>oth localized abrupt thaw (thermokarst) and gradual ecosystem shifts (e.g., active layer thickening, vegetation changes) drive changes in hydrology and biogeochemical cycles (carbon, nutrients, and contaminants). Mineral and organic components interact along the “lateral continuum” (i.e., from soils to aquatic systems) changing their composition and reactivity across the different interfaces. The circumpolar Arctic region is characterized by high spatial heterogeneity (e.g., geology, topography, vegetation, and ground-ice content) and large inter-annual and seasonal variations in local climate and biophysical processes. Common sampling strategies, applied in different seasons and locations, could help to tackle the spatial and temporal complexity inextricably linked to biogeochemical processes. </span><span>This unified approach developed in permafrost landscapes will allow us to overcome the following challenges: (1) identifying interfaces where detectable changes in mineral and organic components occur; (2) allowing spatial comparison of these detectable changes; and (3) capturing temporal (inter-/intra-annual) variations at these interfaces. </span><span>In order to build on the great effort to better assess the permafrost feedback to climate change, there is an urgent need for a set of community-based protocols to capture changes the dynamics of organics and minerals during their lateral transport. </span></p><p><span>Here, we present the first results from an online survey recently conducted among researchers from different disciplines. The survey inputs provide valuable information about the common approaches currently applied along the “soil-to-hydrosystems” continuum and the specific challenges associated with permafrost studies. These results about the ‘WHAT, WHERE, WHEN, and HOW’ of field sampling (e.g., sample collection, filtration, conservation...) allow for identifying the most relevant sampling strategies and also the current knowledge gaps. Finally, we present examples of the protocols available to investigate organic and mineral components from soils to marine environments,</span> on which a synoptic sampling strategy can be built. <span>A</span><span>ll forthcoming contributions from our community are still welcome, helping the SPLASH team </span><span>to</span> <span>fill</span><span> up the most adapted tool box to Arctic permafrost landscapes</span><span>.</span></p>

", "keywords": ["2. Zero hunger", "13. Climate action", "14. Life underwater", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/2078.1/247957"}, {"rel": "self", "type": "application/geo+json", "title": "2078.1/247957", "name": "item", "description": "2078.1/247957", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2078.1/247957"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-04T00:00:00Z"}}, {"id": "2078.1/249652", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:50Z", "type": "Journal Article", "created": "2021-07-23", "title": "Iron Redistribution Upon Thermokarst Processes in the Yedoma Domain", "description": "

Ice-rich permafrost has been subject to abrupt thaw and thermokarst formation in the past and is vulnerable to current global warming. The ice-rich permafrost domain includes Yedoma sediments that have never thawed since deposition during the late Pleistocene and Alas sediments that were formed by previous thermokarst processes during the Lateglacial and Holocene warming. Permafrost thaw unlocks organic carbon (OC) and minerals from these deposits and exposes OC to mineralization. A portion of the OC can be associated with iron (Fe), a redox-sensitive element acting as a trap for OC. Post-depositional thaw processes may have induced changes in redox conditions in these deposits and thereby affected Fe distribution and interactions between OC and Fe, with knock-on effects on the role that Fe plays in mediating present day OC mineralization. To test this hypothesis, we measured Fe concentrations and proportion of Fe oxides and Fe complexed with OC in unthawed Yedoma and previously thawed Alas deposits. Total Fe concentrations were determined on 1,292 sediment samples from the Yedoma domain using portable X-ray fluorescence; these concentrations were corrected for trueness using a calibration based on a subset of 144 samples measured by inductively coupled plasma optical emission spectrometry after alkaline fusion (R2 = 0.95). The total Fe concentration is stable with depth in Yedoma deposits, but we observe a depletion or accumulation of total Fe in Alas deposits, which experienced previous thaw and/or flooding events. Selective Fe extractions targeting reactive forms of Fe on unthawed and previously thawed deposits highlight that about 25% of the total Fe is present as reactive species, either as crystalline or amorphous oxides, or complexed with OC, with no significant difference in proportions of reactive Fe between Yedoma and Alas deposits. These results suggest that redox driven processes during past thermokarst formation impact the present-day distribution of total Fe, and thereby the total amount of reactive Fe in Alas versus Yedoma deposits. This study highlights that ongoing thermokarst lake formation and drainage dynamics in the Arctic influences reactive Fe distribution and thereby interactions between Fe and OC, OC mineralization rates, and greenhouse gas emissions. 2. af_biov2ct1.tif: Above-ground biomass for the tropical regions of Africa; biomass measured as tons/ha. From Baccini, A., S. J. Goetz, W. S. Walker, N. T. Laporte, M. Sun, D. Sulla-Menashe, J. Hackler, P. S. A. Beck, R. Dubayah, M. A. Friedl, S. Samanta, and R. A. Houghton. 2012. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change 2:182\u2013185.
3. am.tif: Land-cover from MODIS for the Americas; 16 classes defined by the UMD classification. From Friedl, M. A., D. Sulla-Menashe, B. Tan, A. Schneider, N. Ramankutty, A. Sibley, and X. Huang. 2010. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment 114:168\u2013182.
4: am_biov2ct1.tif: Above-ground biomass for the tropical regions of the Americas; biomass measured as tons/ha. From Baccini, A., S. J. Goetz, W. S. Walker, N. T. Laporte, M. Sun, D. Sulla-Menashe, J. Hackler, P. S. A. Beck, R. Dubayah, M. A. Friedl, S. Samanta, and R. A. Houghton. 2012. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change 2:182\u2013185.5: anthrome_0.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(0): No data. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
5: anthrome_11.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(11):Urban. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
6: anthrome_12.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(12):Mixed settlements. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
7: anthrome_21.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(21):Rice villages. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
8: anthrome_22.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(22):Irrigated villages. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
9: anthrome_23.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(23):Rainfed villages. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
10: anthrome_24.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(24):Pastoral villages. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
11: anthrome_31.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(31):Residential irrigated croplands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
12: anthrome_32.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(32):Residential rainfed croplands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
13: anthrome_33.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(33):Populated croplands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
14: anthrome_34.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(34):Remote croplands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
15: anthrome_41.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(41):Residential rangelands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
16: anthrome_42.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(42):Populated rangelands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
17: anthrome_43.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(43):Remote rangelands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
18: anthrome_51.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(51):Residential woodlands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
19: anthrome_52.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(52):Populated woodlands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
20: anthrome_53.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(53):Remote woodlands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
21: anthrome_54.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(54):Inhabited treeless and barren lands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
22: anthrome_61.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(61):Wild woodlands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
23: anthrome_62.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. Value(62):Wild treeless and barren lands. From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
24: as.tif: Land-cover from MODIS for the continent of Asia; 16 classes defined by the UMD classification. From Friedl, M. A., D. Sulla-Menashe, B. Tan, A. Schneider, N. Ramankutty, A. Sibley, and X. Huang. 2010. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sensing of Environment 114:168\u2013182.
25: as_biov2ct1.tif: Above-ground biomass for the tropical regions of Asia; biomass measured as tons/ha. From Baccini, A., S. J. Goetz, W. S. Walker, N. T. Laporte, M. Sun, D. Sulla-Menashe, J. Hackler, P. S. A. Beck, R. Dubayah, M. A. Friedl, S. Samanta, and R. A. Houghton. 2012. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change 2:182\u2013185.
26-30: ecoregions_projected.(.dbf/.prj/.qpj/.shp/.shx): Terrestrial Ecoregions of the World is a biogeographic regionalization of the Earth\u2019s terrestrial biodiversity. Units are ecoregions, defined as relatively large units of land or water containing a distinct assemblage of natural communities sharing a large majority of species, dynamics, and environmental conditions. From Olson, D. M., Dinerstein, E., Wikramanayake, E. D., Burgess, N. D., Powell, G. V. N., Underwood, E. C., D'Amico, J. A., Itoua, I., Strand, H. E., Morrison, J. C., Loucks, C. J., Allnutt, T. F., Ricketts, T. H., Kura, Y., Lamoreux, J. F., Wettengel, W. W., Hedao, P., Kassem, K. R. 2001. Terrestrial ecoregions of the world: a new map of life on Earth. Bioscience 51(11):933-938.
31: fi_average.tif: Average fire density 1997-2011. Based on the modified algorithm 1 product of World Fire atlas (WFA, ESA-ESRIN) dataset. UNEP/GRID-Europe compiled the monthly data and processed the global fire density. Unit is expected average number of event per 0.1 decimal degree pixel per year multiplied by 100 (e.g. 64 value means 0.64 events per year) and slightly smoothed. From UNEP, DEWA, GRID -Europe, Collection: Global Estimated Risk Index for Multiple Hazards. Web. 30 Sep 2014,http://preview.grid.unep.ch/index.php?preview=data&events=fires.
32: gl_anthrome.tif: Anthromes (Anthropogenic Biomes, or 'human biomes') represent the global ecological patterns created by sustained direct human interactions with ecosystems. All values(see items 5-24). From Ellis, E. C., K. Klein Goldewijk, S. Siebert, D. Lightman, and N. Ramankutty. 2010. Anthropogenic transformation of the biomes, 1700 to 2000. Global Ecology and Biogeography xx:xxx-xxx. DOI: 10.1111/j.1466-8238.2010.00540.x
33: glbctd1t0503m.tif: Gridded Livestock of the World: Cattle. Number per square kilometer. These maps are created through the spatial disaggregation of sub-national statistical data based on empirical relationships with environmental variables in similar agro-ecological zones. From Robinson, T. P. et al. Mapping the Global Distribution of Livestock. PLoS One 9, e96084 (2014).
34: glbgtd1t0503m.tif: Gridded Livestock of the World: Goats. Number per square kilometer. These maps are created through the spatial disaggregation of sub-national statistical data based on empirical relationships with environmental variables in similar agro-ecological zones. From Robinson, T. P. et al. Mapping the Global Distribution of Livestock. PLoS One 9, e96084 (2014).
35: glbpgd1t0503m.tif: Gridded Livestock of the World: Pigs. Number per square kilometer. These maps are created through the spatial disaggregation of sub-national statistical data based on empirical relationships with environmental variables in similar agro-ecological zones. From Robinson, T. P. et al. Mapping the Global Distribution of Livestock. PLoS One 9, e96084 (2014).
36: glbshd1t0503m.tif: Gridded Livestock of the World: Sheep. Number per square kilometer. These maps are created through the spatial disaggregation of sub-national statistical data based on empirical relationships with environmental variables in similar agro-ecological zones. From Robinson, T. P. et al. Mapping the Global Distribution of Livestock. PLoS One 9, e96084 (2014).
37: glds00ag.tif: Gridded Population Density of the World, Version 3: (GPWv3): Population Density Grid. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. The population density grids are derived by dividing the population count grids by the land area grid and represent persons per square kilometer. From CIESIN, IFPRI, Bank, T. W. & CIAT, Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Population Density Grid. (2011). Web. 26 Sep 2014. http://dx.doi.org/10.7927/H4R20Z93
38: glds00g.tif: Gridded Population Density of the World, Version 3: (GPWv3): Population Density Grid. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative units, is used to assign population values to grid cells. The population density grids are derived by dividing the population count grids by the land area grid and represent persons per square kilometer. From CIESIN, IFPRI, Bank, T. W. & CIAT, Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Population Density Grid. (2011). Web. 26 Sep 2014. http://dx.doi.org/10.7927/H4R20Z93
39: global_elevation.tiff: GTOPO30 is a global digital elevation model (DEM) with a horizontal grid spacing of 30-arc seconds (0.008333333333333 degrees or approximately 1 kilometer), resulting in a DEM having dimensions of 21,600 rows and 43,200 columns. The horizontal coordinate system is decimal degrees of latitude and longitude referenced to World Geodetic System 84 (WGS84). The vertical units represent elevation in meters above mean sea level. The elevation values range from -407 to 8,752 meters. In the DEM, ocean areas have been masked as no data and have been assigned a value of -9999. Lowland coastal areas have an elevation of at least 1 meter (so in the event that a user reassigns the ocean value from -9999 to 0 the land boundary portrayal will be maintained). Small islands in the ocean less than approximately 1 square kilometer are not represented. GTOPO30 was derived from several raster and vector sources of topographic information. These sources include: Digital Terrain Elevation Data, Digital Chart of the World, USGS 1-degree Digital Elevation Models, Army Map Service 1:1,000,000-scale Maps, International 1:1,000,000-scale Map of the World, Peru 1:1,000,000-scale Map, New Zealand DEM, and Antarctic digital Database. GTOPO30 was developed to meet the needs of the geospatial data user community for regional and continental scale topographic data. The data are suitable for many regional and continental applications, such as climate modeling, continental-scale land cover mapping, extraction ofdrainage features for hydrologic modeling and geometric and atmospheric correction of medium and coarse resolution satellite image data. An example of a recent application derived from GTOPO30 is HYDRO1k, a geographic database (at a resolution of 1 km) developed to provide comprehensive and consistent global coverage of topographically derived data sets, including streams, drainage basins, and ancillary layers . HYDRO1k provides a suite of geo-referenced data sets, both raster and vector, which will be of value for all users who need to organize, evaluate, or process hydrologic information on a continental scale. The raster data sets are the hydrologically correct DEM, derived flow directions, flow accumulations, slope, aspect, and a compound topographic (wetness) index. The derived streamlines and basins are distributed as vector data sets. GTOPO30 was developed through a collaborative effort led by staff at the U.S. Geological Survey's EROS EDC. The following organizations participated by contributing funding or source data: the National Aeronautics and Space Administration (NASA), the United Nations Environment Programme/Global Resource Information Database (UNEP/GRID), the U.S. Agency for International Development (USAID), the Instituto Nacional de Estadistica Geografica e Informatica (INEGI) of Mexico, the Geographical Survey Institute (GSI) of Japan, Manaaki Whenua Landcare Research of New Zealand, and the Scientific Committee on Antarctic Research (SCAR). From Grenlee S., Gesch, D, available online [http://webmap.ornl.gov/wcsdown/dataset.jsp?ds_id=10003] from ORNL DAAC, Oak Ridge, Tennessee, U.S.A..
40: global_precip.tiff: The Global Precipitation Climatology Centre (GPCC), which is operated by the Deutscher Wetterdienst (National Meteorological Service of Germany), is a component of the Global Precipitation Climatology Project (GPCP) with the main emphasis on the treatment of the global in-situ observations. The GPCC simultaneously contributes to the Global Climate Observing System (GCOS) and other international research and climate monitoring projects. This rain gauge-only data set was acquired from GPCC and resampled to 0.5 degree grid boxes for use in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II. The GPCC collects precipitation data which are locally observed at rain gauge stations and distributed as CLIMAT and SYNOP reports via the Global Telecommunication System of the World Weather Watch (GTS) of the World Meteorological Organization (WMO). The Centre acquires additional monthly precipitation data from meteorological and hydrological networks which are operated by national services. Meeson B., Los, S, Landis, D., Hall F., Collatz, G., Brown de Colstoun, E. available online [http://webmap.ornl.gov/wcsdown/wcsdown.jsp?dg_id=995_20] from ORNL DAAC, Oak Ridge, Tennessee, U.S.A..
41: global_soil_types.tiff: A global data set of soil types is available at 1-degree latitude by 1-degree longitude resolution. There are 26 soil units based on Zobler\u2019s assessment of FAO Soil Units (Zobler, 1986). The data set was compiled as part of an effort to improve modeling of the hydrologic cycle portion of global climate models. A more extensive version of these data, including 106 soil units as well as soil texture and slope, is available from NCAR, Scientific Computing Division, Data Support Section; the more extensive data set is entitled 'Staub and Rosenweig's GISS Soil & Sfc Slope, 1-Deg' [http://www.dss.ucar.edu/datasets/ds770.0/]. A help file prepared by Matthews and Fung (1987) (soil1x1.help) is provided as a companion file. Image of 26 soil types available at 1-degree by 1-degree resolution. Additional documentation from Zobler\u2019s assessment of FAO soil units is available from the NASA Center for Scientific Information.
42: global_water_capacity: Plant-extractable water capacity of soil is the amount of water that can be extracted from the soil to fulfill evapotranspiration demands. It is often assumed to be spatially invariant in large-scalecomputations of the soil-water balance. Empirical evidence, however, suggests that this assumption is incorrect. This data set provides an estimate of the global distribution of plant-extractable water capacity of soil. A representative soil profile, characterized by horizon (layer) particle size data and thickness, was created for each soil unit mapped by FAO (Food and Agriculture Organization of the United Nations)/Unesco. Soil organic matter was estimated empirically from climate data. Plant rooting depths and ground coverages were obtained from a vegetation characteristic data set. At each 0.5 x 0.5 degree grid cell where vegetation is present, unit available water capacity (cm water per cm soil) was estimated from the sand, clay, and organic content of each profile horizon, and integrated over horizon thickness. Summation of the integrated values over the lesser of profile depth and root depth produced an estimate of the plant-extractable water capacity of soil. The global average of the estimated plant-extractable water capacities of soil is 8.6 cm (Greenland, Antarctica and bare soil areas excluded). Estimates are less than 5, 10 and 15 cm - over approximately 30, 60, and 89 per cent of the area, respectively. Estimates reflect the combined effects of soil texture, soil organic content, and plant root depth or profile depth. The most influential and uncertain parameter is the depth over which the plant-extractable water capacity of soil is computed, which is usually limited by root depth. Soil texture exerts a lesser, but still substantial, influence. Organic content, except where concentrations are very high, has relatively little effect. The file is available in an ascii array format. The format is such that j=1 corresponds to the grid cell bounded by 90.0 and 89.5 degrees south latitude (centered on 89.75) and i=1 corresponds to the grid cell bounded by 0.0 and 0.5 degrees east longitude (centered on 0.25). No data are given for land ice grid cells, most of which occur in Antarctica and Greenland, or for other unvegetated areas. A value of -99.0 indicates either a water grid cell or a land ice grid cell. A value of -1.0 indicates that vegetation is absent (and the plant-extractable water capacity of soil is undefined). Units are cm. The data file may be read as follows: dimension whcdat(720,360) do j=1,360 read(iunit,'(36f5.1)') (whcdat(i,j),i=1,720) enddo Data Citation The data set should be cited as follows: Dunne, K. A., and Cort J. Willmott. 2000. Global Distribution of Plant-extractable Water Capacity of Soil (Dunne). Available on-line from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.43-49: ilf2000_last_proj(.cpg/.dbf/.prj/.qpj/.shp/.shx/.tif): Intact Forest Landscape, 2000 (IFL2000). The world's IFL map is a spatial database (scale 1:1,000,000) that shows the extent of the intact forest landscapes (IFL) for year 2000. IFL is an unbroken expanse of natural ecosystems within the zone of current forest extent, showing no signs of significant human activity, and large enough that all native biodiversity, including viable populations of wide-ranging species, could be maintained. From Potapov P., Yaroshenko A., Turubanova S., Dubinin M., Laestadius L., Thies C., Aksenov D., Egorov A., Yesipova Y., Glushkov I., Karpachevskiy M., Kostikova A., Manisha A., Tsybikova E., Zhuravleva I. 2008. Mapping the World's Intact Forest Landscapes by Remote Sensing. Ecology and Society, 13 (2) http://www.ecologyandsociety.org/vol13/iss2/art51/
50: lighted_area_luminosity.tif: NASA Earth Observation Satellite.", "keywords": ["carbon edge effect", "13. Climate action", "11. Sustainability", "15. Life on land", "12. Responsible consumption"], "contacts": [{"organization": "Sharp, Richard, Chaplin-Kramer, Rebecca, Haddad, Nicholas M., Engstrom, Peder, Gerber, James, Ramler, Ivan, West, Paul C., Mandle, Lisa, Sim, Sara, Mueller, Carina, King, Henry,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.18620"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.18620", "name": "item", "description": "10.5281/zenodo.18620", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.18620"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-06-16T00:00:00Z"}}, {"id": "10.5281/zenodo.208231", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:11Z", "description": "This research empirically estimates potential energy utilization and GHG emission sequestration in small-scale maize production in Niger State, Nigeria using Data Envelopment Analysis (DEA). Data for the study were obtained from Kuta agricultural zone in Niger State; 120 maize farmers were randomly selected through multi-stage sampling technique, and data collected with the aid of pre-tested questionnaire coupled with interview schedule. Energy efficiency of maize farmers was studied and degrees of overall technical efficiency (CCR), pure technical efficiency (BCC) and scale efficiency (SE) were determined using a neoclassical non-parametric model called Data Envelopment Analysis (DEA). Additionally, wasteful uses of energy by inefficient DMUs (farms) were examined, and energy saving of different sources estimated. Furthermore, the effect of energy optimization on greenhouse gas (GHG) emission was investigated and the total amount of GHG emission of efficient DMUs (farms) was compared with inefficient DMUs. Results revealed that approximately 9.2% of the farmers were technically efficient with an estimated mean TE of 0.68. Furthermore, when BCC model was assumed, 24 farmers (DMUs) were identified to be locally efficient (20%), with mean PTE of 0.78. From the results, it was inferred that 32% (768.89MJ ha-1) of overall input energies can be saved if the performance of inefficient DMUs (farms) rose to a high level. Finally, by energy optimization the total GHG emission can be reduced to an estimated value of 394.91 kg CO2eq.", "keywords": ["2. Zero hunger", "DEA", "Technical Efficiency", "13. Climate action", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Small-scale", "Nigeria", "02 engineering and technology", "7. Clean energy", "GHG Emission", "Maize"], "contacts": [{"organization": "A. Suleiman, M. A. Isah, S. M. Umar, I.P. Singh, H. Sallawu, A. T. Lawal, M. S. Sadiq, A. M. Maude,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.208231"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.208231", "name": "item", "description": "10.5281/zenodo.208231", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.208231"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.2536040", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:12Z", "type": "Dataset", "title": "Soil organic carbon stock in kg/m2 for 5 standard depth intervals (0\u201310, 10\u201330, 30\u201360, 60\u2013100 and 100\u2013200 cm) at 250 m resolution", "description": "Open AccessSoil organic carbon stock in kg/m2 for 5 standard depth intervals (0\u201310, 10\u201330, 30\u201360, 60\u2013100 and 100\u2013200 cm) at 250 m resolution. To convert to t/ha multiply by 10. Derived using soil organic carbon content (https://doi.org/10.5281/zenodo.1475457), bulk density (https://doi.org/10.5281/zenodo.1475970) and coarse fragments (https://doi.org/10.5281/zenodo.2525681), predicted from point data at 6 standard depths. Depth to bed rock has been ignored, hence total stocks might be about 10\u201315% lower then reported. Processing steps are described in detail here. Antarctica is not included. To access and visualize maps use: https://openlandmap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using 'COMPRESS=DEFLATE' creation option in GDAL. File naming convention: sol = theme: soil, organic.carbon.stock = variable: soil organic carbon stock in kg/m2, msa.kgm2 = determination method: derived from organic carbon content, bulk density and coarse fragments, m = mean value, 250m = spatial resolution / block support: 250 m, b0..10cm = vertical reference: 0-10 cm layer below surface, 1950..2017 = time reference: period 1950-2017, v0.2 = version number: 0.2,", "keywords": ["LandGIS", "13. Climate action", "15. Life on land", "soil carbon"], "contacts": [{"organization": "Hengl, Tomislav, Wheeler, Ichsani,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2536040"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2536040", "name": "item", "description": "10.5281/zenodo.2536040", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2536040"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-24T00:00:00Z"}}, {"id": "10.5281/zenodo.2525553", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:11Z", "type": "Dataset", "title": "Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution", "description": "Open AccessSoil organic carbon content in \u00d7 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. The maps are provided using Byte type to significantly reduce file size. Predicted from a global compilation of soil points. Also available for download: soil organic stock maps in in kg / m2 (https://doi.org/10.5281/zenodo.1475453) and bulk density maps in kg / m3 (https://doi.org/10.5281/zenodo.1475970). Processing steps are described in detail here. Antarctica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using 'COMPRESS=DEFLATE' creation option in GDAL. File naming convention: sol = theme: soil, organic.carbon = variable: soil organic carbon content in x 5 g / kg, usda.6a1c = determination method: laboratory method code, m = mean value, 250m = spatial resolution / block support: 250 m, b10..10cm = vertical reference: 10 cm depth below surface, 1950..2017 = time reference: period 1950\u20132017, v0.2 = version number: 0.2,", "keywords": ["2. Zero hunger", "LandGIS", "13. Climate action", "15. Life on land", "soil carbon"], "contacts": [{"organization": "Hengl, Tomislav, Ichsani Wheeler,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2525553"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2525553", "name": "item", "description": "10.5281/zenodo.2525553", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2525553"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-30T00:00:00Z"}}, {"id": "10.5281/zenodo.2529721", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:11Z", "type": "Dataset", "title": "Soil organic carbon stock (0\u201330 cm) in kg/m2 time-series 2001\u20132015 based on the land cover changes", "description": "Open Access{'references': ['Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0.']}", "keywords": ["LandGIS", "land cover", "13. Climate action", "15. Life on land", "soil carbon loss", "soil"], "contacts": [{"organization": "Ichsani Wheeler, Hengl, Tomislav,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2529721"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2529721", "name": "item", "description": "10.5281/zenodo.2529721", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2529721"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-30T00:00:00Z"}}, {"id": "10.5281/zenodo.2613624", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:12Z", "type": "Dataset", "title": "Accompanying material to the Inventory of opportunities and bottlenecks in policy to facilitate the adoption of soil-improving techniques", "description": "Inventory of policies at EU and country level for the inventory and analysis of bottlenecks and opportunities in sectoral and environmental policies to facilitate the adoption of Soil-Improving Cropping Systems (SICS).", "keywords": ["2. Zero hunger", "13. Climate action", "soil improving cropping systems", " policy instruments"], "contacts": [{"organization": "McNeill, Alicia, Bradley, Harriet, Muro, Melanie, Merriman, Nicholas, Pederson, Robert, Tugran, Tugce, Lucakova, Zuzana,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2613624"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2613624", "name": "item", "description": "10.5281/zenodo.2613624", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2613624"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-02T00:00:00Z"}}, {"id": "10.5281/zenodo.2613625", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:12Z", "type": "Dataset", "title": "Accompanying material to the Inventory of opportunities and bottlenecks in policy to facilitate the adoption of soil-improving techniques", "description": "Inventory of policies at EU and country level for the inventory and analysis of bottlenecks and opportunities in sectoral and environmental policies to facilitate the adoption of Soil-Improving Cropping Systems (SICS).", "keywords": ["2. Zero hunger", "13. Climate action", "soil improving cropping systems", " policy instruments"], "contacts": [{"organization": "McNeill, Alicia, Bradley, Harriet, Muro, Melanie, Merriman, Nicholas, Pederson, Robert, Tugran, Tugce, Lucakova, Zuzana,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2613625"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2613625", "name": "item", "description": "10.5281/zenodo.2613625", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2613625"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-02T00:00:00Z"}}, {"id": "10.5281/zenodo.2613911", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:12Z", "type": "Dataset", "title": "International Soil Radiocarbon Database v1.0", "description": "Open AccessThis version of ISRaD data corresponds to our manuscript submitted to the Journal Earth Systems Science Data", "keywords": ["13. Climate action", "biogeochemistry", "carbon cycle", "radiocarbon", "soils"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2613911"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2613911", "name": "item", "description": "10.5281/zenodo.2613911", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2613911"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-28T00:00:00Z"}}, {"id": "10.5281/zenodo.2645510", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:12Z", "type": "Dataset", "title": "C-isotopic signatures and soil properties of Amazon basin oxisols", "description": "Open AccessThis dataset presents C isotopic data from two sites (Apu\u00ed and Manacapuru) located in the state of Amazonas, Brazil. Soils were sampled at three time periods, under weak raining (March-2016), extreme dry (August-2016), and strong wet (March-2017) conditions. The dataset first presents general information about the site (on the tab 'site'), followed by more detailed information (on the tab 'profile') about both sampling locations. The coordinates, altitude, mean annual temperature, mean annual precipitation, soil order in USDA taxonomy and their respective land use categories and vegetation classifications are described. On the 'layer' tab, information about the soil depth, percent sand, silt and clay, pH CaCl2 and H2O, Organic and Total Carbon, total nitrogen and carbon/nitrogen ratio are described. The bulk C-isotopic signature is also listed on this tab as the Bulk Layer \u039414C and its standard deviation, Bulk Layer Fraction Modern and its standard deviation. The 'Incubation' tab describes details of the soil incubations conducted at Apu\u00ed and Manacapuru. Information about the material and length of incubation, as well as the CO2 fluxes over the duration of incubation are reported. The respired C-isotopic signature during the incubation is also given on this tab as the incubation \u039414C and its standard deviation, incubation Fraction Modern and its standard deviation.", "keywords": ["2. Zero hunger", "Total Carbon", "Organic Carbon", "14C", "13. Climate action", "Incubation", "Amazon basin", "15. Life on land", "ISRaD", "Oxisols", "Carbon Isotope"], "contacts": [{"organization": "Kuhnen, \u00c1gatha, Matschullat, J\u00f6rg, Sierra, Carlos A, Lima, R. M. B. de,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2645510"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2645510", "name": "item", "description": "10.5281/zenodo.2645510", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2645510"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-05T00:00:00Z"}}, {"id": "10.5281/zenodo.2613910", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:12Z", "type": "Dataset", "title": "International Soil Radiocarbon Database v1.0", "description": "Open AccessThis version of ISRaD data corresponds to our manuscript submitted to the Journal Earth Systems Science Data", "keywords": ["13. Climate action", "biogeochemistry", "carbon cycle", "radiocarbon", "soils"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2613910"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2613910", "name": "item", "description": "10.5281/zenodo.2613910", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2613910"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-28T00:00:00Z"}}, {"id": "10.5281/zenodo.2620125", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:12Z", "type": "Journal Article", "title": "GNSS PRECISE POINT POSITIONING FOR AUTONOMOUS ROBOT NAVIGATION IN GREENHOUSE ENVIRONMENT FOR INTEGRATED PEST MONITORING", "description": "GreenPatrol robot is an autonomous robotic solution for early detection and control of pests in greenhouses. The importance of robot precise positioning inside the greenhouse is a key aspect to endow the robot with the ability to scout the environment, precisely register the detected pest location into accurate maps and to allow the later treatment. Greenhouses are a challenging environment in terms of multipath and signal blockage due to its metal-reinforced complex structures of glass or polycarbonate. GreenPatrol robot localization takes advantage of the higher accuracy and the multiple signal frequencies provided by the European Global Navigation Satellite System (EGNSS) of the Galileo constellation (E5Alt BOC), by means of precise positioning techniques combined with inertial measurement sensors, odometry and maps to provide an accurate global localization mechanism.
This paper shows the results of a comparative analysis carried out in a Greenhouse environment in order to evaluate the performance of different processing techniques such as Precise Point Positioning (PPP) and Post Processed Kinematic (PPK). The purpose of this analysis is to study the advantages of the use of Galileo new signals and to determine the best global localization solution for the GreenPatrol robot. The results experimentally show that the use of PPP Galileo E5 AltBOC signal in a multi-constellation solution offers better signal quality and better positioning performance for the intended environment.", "keywords": ["13. Climate action", "GNSS", " Precise Point Positioning", " Precision Farming", " Integrated Pest Monitoring"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.2620125"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/12%20th%20Annual%20Ba%C5%A1ka%20GNSS%20Conference%20Proceedings", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.2620125", "name": "item", "description": "10.5281/zenodo.2620125", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.2620125"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3371224", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:12Z", "type": "Report", "title": "Circular Agronomics: producing high-quality organic fertilizers from digestates in an agro-industrial biogas plant", "description": "Six high-value organic fertilizers (OF) will be produce in a combined process based on anaerobic digestion of pig manure with agro-industrial organic wastes, followed by an efficient solid-liquid separation (centrifuge) and solar drying. The digestate centrates will be submitted to a stripping treatment to produce two liquid streams, one of them enriched in N and available for fertilization. The mass (C, N, P, K) and energy balances will be performed, including gaseous emission monitoring, along the production of different OFs. Among physic-chemical parameters, the agronomical potential of such products will be tested in field crop rotations, as well as horticultural crops. The overall process of OFs production will be characterized, based on compiled data from balances, emissions and products\u00b4 yield and characteristics. Finally, once the OFs production process will be well defined, these data will feed a Life Cycle Analysis assessment. This digestate valorization process is one of the case studies of the European project \u2018Circular Agronomics\u2019.", "keywords": ["2. Zero hunger", "Organic fertilizers", " anaerobic digestion", " solar drying.", "13. Climate action", "7. Clean energy", "12. Responsible consumption"], "contacts": [{"organization": "Arenas, Victor Riau, Gual, Lluis Morey, Porta, \u00c1ngel, Soler, Joan, Fern\u00e1ndez, Bel\u00e9n,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3371224"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3371224", "name": "item", "description": "10.5281/zenodo.3371224", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3371224"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-19T00:00:00Z"}}, {"id": "10.5281/zenodo.3403909", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:12Z", "type": "Journal Article", "created": "2019-01-02", "title": "Cross-Biome Drivers of Soil Bacterial Alpha Diversity on a Worldwide Scale", "description": "We lack a defined suite of attributes that allow us to universally predict the distribution of bacterial diversity across and within globally distributed biomes. Using data from a global survey, including 237 locations and multiple environmental predictors, we found that only ultraviolet light, forest environments, soil carbon and pH can be considered as significant and globally consistent predictors of soil bacterial diversity, valid within and across biomes (arid, temperate and continental). Bacterial diversity always peaked in grasslands, with moderate-to-low carbon and ultraviolet light levels, and high soil pH. Using these environmental data, we generated the first global predictive map of the distribution of soil bacterial diversity. Our work helps to identify a unique set of environmental attributes for universally predicting the distribution of soil bacterial diversity. This knowledge is key to help predict changes in ecosystem functioning and the provision of essential services under changing environments.", "keywords": ["Terrestrial ecosystems", "0301 basic medicine", "2. Zero hunger", ": a-diversity", "Temperate", "0303 health sciences", "03 medical and health sciences", "Arid", "13. Climate action", "XXXXXX - Unknown", "Continental", "15. Life on land", "Cross-biome"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3403909"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3403909", "name": "item", "description": "10.5281/zenodo.3403909", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3403909"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-02T00:00:00Z"}}, {"id": "10.5281/zenodo.3403939", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:13Z", "type": "Journal Article", "title": "Changes in belowground biodiversity during ecosystem 1 development", "description": "Belowground organisms play critical roles in maintaining multiple ecosystem processes, including plant productivity, decomposition, and nutrient cycling. Despite their importance, we have a limited understanding of how and why belowground biodiversity (bacteria, fungi, protists, and invertebrates) may change as soils develop over centuries to millennia (pedogenesis). Moreover, it is unclear whether belowground biodiversity changes during pedogenesis are similar to the patterns observed for aboveground plant diversity. Herein, we evaluated the role of resource availability, nutrient stoichiometry and soil abiotic factors in driving belowground biodiversity across 16 soil chronosequences (from centuries to millennia) spanning a wide range of globally-distributed ecosystem types. Changes in belowground biodiversity during pedogenesis followed two main patterns. In lower productivity ecosystems (drier and colder), increases in belowground biodiversity tracked increases in plant cover. In more productive ecosystems (wetter and warmer), increased acidification during pedogenesis was associated with declines in belowground biodiversity. Changes in the diversity of bacteria, fungi, protists, and invertebrates with pedogenesis were strongly and positively correlated worldwide, highlighting that belowground biodiversity share similar ecological drivers as soils and ecosystems develop. In general, temporal changes in aboveground plant diversity and belowground biodiversity were not correlated, challenging the common perception that belowground biodiversity should follow similar patterns to those of plant diversity during ecosystem development. Together, our findings provide evidence that ecological patterns in belowground biodiversity are predictable across major globally-distributed ecosystem types, and suggest that shifts in plant cover and soil acidification during ecosystem development are associated with changes in belowground biodiversity over centuries to millennia.", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land"], "contacts": [{"organization": "Delgado-Baquerizo, Manuel, Et Al.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3403939"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PNAS", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3403939", "name": "item", "description": "10.5281/zenodo.3403939", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3403939"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3403940", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:13Z", "type": "Journal Article", "title": "Changes in belowground biodiversity during ecosystem 1 development", "description": "Belowground organisms play critical roles in maintaining multiple ecosystem processes, including plant productivity, decomposition, and nutrient cycling. Despite their importance, we have a limited understanding of how and why belowground biodiversity (bacteria, fungi, protists, and invertebrates) may change as soils develop over centuries to millennia (pedogenesis). Moreover, it is unclear whether belowground biodiversity changes during pedogenesis are similar to the patterns observed for aboveground plant diversity. Herein, we evaluated the role of resource availability, nutrient stoichiometry and soil abiotic factors in driving belowground biodiversity across 16 soil chronosequences (from centuries to millennia) spanning a wide range of globally-distributed ecosystem types. Changes in belowground biodiversity during pedogenesis followed two main patterns. In lower productivity ecosystems (drier and colder), increases in belowground biodiversity tracked increases in plant cover. In more productive ecosystems (wetter and warmer), increased acidification during pedogenesis was associated with declines in belowground biodiversity. Changes in the diversity of bacteria, fungi, protists, and invertebrates with pedogenesis were strongly and positively correlated worldwide, highlighting that belowground biodiversity share similar ecological drivers as soils and ecosystems develop. In general, temporal changes in aboveground plant diversity and belowground biodiversity were not correlated, challenging the common perception that belowground biodiversity should follow similar patterns to those of plant diversity during ecosystem development. Together, our findings provide evidence that ecological patterns in belowground biodiversity are predictable across major globally-distributed ecosystem types, and suggest that shifts in plant cover and soil acidification during ecosystem development are associated with changes in belowground biodiversity over centuries to millennia.", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land"], "contacts": [{"organization": "Delgado-Baquerizo, Manuel, Et Al.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3403940"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PNAS", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3403940", "name": "item", "description": "10.5281/zenodo.3403940", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3403940"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3461468", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:13Z", "type": "Dataset", "title": "Impact of deadwood decomposition on soil organic carbon sequestration in Estonian and Polish forests", "description": "Data for publication.", "keywords": ["13. Climate action", "15. Life on land"], "contacts": [{"organization": "Ewa, B\u0142o\u0144ska, Jaros\u0142aw, Lasota, Arvo, Tullus, Reimo, Lutter, Ivika, Ostonen,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3461468"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3461468", "name": "item", "description": "10.5281/zenodo.3461468", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3461468"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-01T00:00:00Z"}}, {"id": "2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/332392", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:27:49Z", "type": "Journal Article", "created": "2021-09-07", "title": "Societal importance of Antarctic negative feedbacks on climate change: blue carbon gains from sea ice, ice shelf and glacier losses", "description": "Abstract

Diminishing prospects for environmental preservation under climate change are intensifying efforts to boost capture, storage and sequestration (long-term burial) of carbon. However, as Earth\uffe2\uff80\uff99s biological carbon sinks also shrink, remediation has become a key part of the narrative for terrestrial ecosystems. In contrast, blue carbon on polar continental shelves have stronger pathways to sequestration and have increased with climate-forced marine ice losses\uffe2\uff80\uff94becoming the largest known natural negative feedback on climate change. Here we explore the size and complex dynamics of blue carbon gains with spatiotemporal changes in sea ice (60\uffe2\uff80\uff93100 MtCyear\uffe2\uff88\uff921), ice shelves (4\uffe2\uff80\uff9340 MtCyear\uffe2\uff88\uff921\uffe2\uff80\uff89=\uffe2\uff80\uff89giant iceberg generation) and glacier retreat (<\uffe2\uff80\uff891 MtCyear\uffe2\uff88\uff921). Estimates suggest that, amongst these, reduced duration of seasonal sea ice is most important. Decreasing sea ice extent drives longer (not necessarily larger biomass) smaller cell-sized phytoplankton blooms, increasing growth of many primary consumers and benthic carbon storage\uffe2\uff80\uff94where sequestration chances are maximal. However, sea ice losses also create positive feedbacks in shallow waters through increased iceberg movement and scouring of benthos. Unlike loss of sea ice, which enhances existing sinks, ice shelf losses generate brand new carbon sinks both where giant icebergs were, and in their wake. These also generate small positive feedbacks from scouring, minimised by repeat scouring at biodiversity hotspots. Blue carbon change from glacier retreat has been least well quantified, and although emerging fjords are small areas, they have high storage-sequestration conversion efficiencies, whilst blue carbon in polar waters faces many diverse and complex stressors. The identity of these are known (e.g. fishing, warming, ocean acidification, non-indigenous species and plastic pollution) but not their magnitude of impact. In order to mediate multiple stressors, research should focus on wider verification of blue carbon gains, projecting future change, and the broader environmental and economic benefits to safeguard blue carbon ecosystems through law. users assessing the liquefaction-related risk as well as assisting them in liquefaction mitigation planning. Dependent on the users\u2019 requirements, the LRG software can be used to separately conduct the liquefaction hazard analysis, the risk analysis, and the mitigation analysis. At the stage of liquefaction hazard, the end-user can conduct qualitative analyses to identify how likely an individual building asset or a portfolio of spatially distributed buildings or infrastructure assets are susceptible to liquefaction. If the end-user wants to conduct a risk analysis as well, which is aimed to estimate the level of impact of the potential liquefaction threat on the asset and evaluate the performance, then a quantitative analysis of the liquefaction potential is required followed by structural response and damage analysis, and performance evaluation. For the Mitigation Analysis, the end-user can develop a customized mitigation framework based on the outcome of the risk analysis", "keywords": ["13. Climate action", "11. Sustainability", "Liquefaction-induced damage", " Risk Assessment", ""], "contacts": [{"organization": "Meslem, Abdelghani, Iversen, H\u00e5vard, Lang, Dominik, Kaschwich, Tina, Drange, Linn Sir,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3463377"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earthquake%20Geotechnical%20Engineering%20for%20Protection%20and%20Development%20of%20Environment%20and%20Constructions", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3463377", "name": "item", "description": "10.5281/zenodo.3463377", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3463377"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3463402", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:13Z", "type": "Journal Article", "title": "Liquefaction risk assessment: lesson learned from a case study", "description": "A detailed and comprehensive assessment of risk is the basis to protect communities
and assist decision-making towards the sustainable management of territories. For liquefaction
this process implies to simultaneously investigate seismic hazard, susceptibility of the subsoil,
vulnerability of structures, economic and social relevance of critical infrastructures and
ultimately build a comprehensive multi-level model that considers the interaction among all aspects.
Developing a methodology to achieve this goal is the scope of Liquefact, a EU H2020
project. A case study pervasively affected by liquefaction damages is here studied as a real scale
scenario to identify the main factors of uncertainty. The available data concerning seismic motion,
subsoil and building characteristics, damage and economic loss are used to develop a methodology
aimed at quantifying and reducing uncertainties in the spatial distribution of risk.", "keywords": ["Liquefaction", "13. Climate action", "LIQUEFACTION", " RISK ASSESSMENT", "11. Sustainability", "12. Responsible consumption", "Risk assessment"], "contacts": [{"organization": "Modoni, Giuseppe, Spacagna, Rose Line, Paolella, Luca, Salvatore, Erminio, Rasulo, Alessandro, Martelli, Luca,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3463402"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earthquake%20Geotechnical%20Engineering%20for%20Protection%20and%20Development%20of%20Environment%20and%20Constructions", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3463402", "name": "item", "description": "10.5281/zenodo.3463402", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3463402"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3572794", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:15Z", "type": "Journal Article", "created": "2019-05-14", "title": "Global drivers of methane oxidation and denitrifying gene distribution in drylands", "description": "AbstractAim

Microorganisms carrying pmoA and nosZ genes are major drivers of methane and nitrous oxide fluxes from soils. However, most studies on these organisms have been conducted in mesic ecosystems; therefore, little is known about the factors driving their distribution in drylands, the largest biome on Earth. We conducted a global survey to evaluate the role of climate\uffe2\uff80\uff90 and soil\uffe2\uff80\uff90related variables as predictors of the richness, abundance and community structure of bacteria carrying pmoA and nosZ genes.

Location

Eighty dryland ecosystems distributed worldwide.

Time period

From February 2006 to December 2011.

Major taxa studied

Methanotrophic (carrying the pmoA gene) and denitrifiying (carrying the nosZ gene) bacteria.

Methods

We used data from a field survey and structural equation modelling to evaluate the direct and indirect effects of climatic (aridity, rainfall seasonality and mean annual temperature) and soil (organic carbon, pH and texture) variables on the total abundance, richness and community structure of microorganisms carrying pmoA and nosZ genes.

Results

Taxa related to Methylococcus capsulatus or Methylocapsa sp., often associated with mesic environments, were common in global drylands. The abundance and richness of methanotrophs were not associated with climate or soil properties. However, mean annual temperature, rainfall seasonality, organic C, pH and sand content were highly correlated with their community structure. Aridity and soil variables, such as sand content and pH, were correlated with the abundance, community structure and richness of the nosZ bacterial community.

Main conclusions

Our study provides new insights into the drivers of the abundance, richness and community structure of soil microorganisms carrying pmoA and nosZ genes in drylands worldwide. We highlight how ongoing climate change will alter the structure of soil microorganisms, which might affect the net CH4 exchange and will probably reduce the capacity of dryland soils to carry out the final step of denitrification, favouring net N2O emissions. the EU H2020 LIQUEFACT project titled \u201cLiquefact: Assessment and mitigation of liquefaction potential across
Europe: a holistic approach to protect structures/ infrastructures for improved resilience to earthquake-induced liquefaction
disasters\u201d. The concept of the study includes pre-existing investigations and complementary (in-situ and
laboratory) tests. As part of complementary tests, 6 investigation areas had been chosen in Canakkale site and insitu
tests had been performed. In-situ tests can be considered as Standard Penetration Test (SPT), Cone Penetration
Test (CPT (CPTU and SCPT)), Marchetti Dilatometer Test (DMT) and geophysical measurements. In the investigation
areas, boreholes had been opened to perform Standard Penetration Test (SPT). In addition to SPT, CPT and
DMT had been carried out. Geophysical measurements that applied during research were downhole seismic, PSlogging,
seismic refraction, 2D-Remi, MASW, microtremor (H/V Nakamura method) and 2D resistivity profiling.
Seismic refraction, MASW, and microtremor measurements had already been performed in pre-existing studies
although the dynamic soil properties had not been measured. Therefore, these properties had been measured by
using resonant column and cyclic direct shear test. The general idea is to compare results of the geophysical and
other measurements, to identify ground characterization of the site.", "keywords": ["13. Climate action", "11. Sustainability"], "contacts": [{"organization": "Ozcep, F., Oztoprak, S., Aysal, N., Bozbey, I., Tezel, O., Oser, C., Sargin, S., Bekin, E., Almasraf, M., Cinku, M. C., Ozdemir, K.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3465293"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3465293", "name": "item", "description": "10.5281/zenodo.3465293", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3465293"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-08T00:00:00Z"}}, {"id": "10.5281/zenodo.3465225", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:14Z", "type": "Journal Article", "title": "LIQUEFACT PILOT SITE AT THE GREATER LISBON AREA: PRELIMINARY MICROZONATION OF LIQUEFACTION SUSCEPTIBILITY", "description": "Earthquake-induced liquefaction is a subject of great relevance since it can be the cause of great structural damage, economic and human losses, resulting from a seismic event. As part of the European project H2020 LIQUEFACT, an area was selected for the first experimental pilot field located in the Lez\u00edria Grande of Vila Franca de Xira, located in the region of Greater Lisbon. A vast amount of information, historical data and geological-geotechnical reports were collected in order to characterize the studied area, namely in terms of the susceptibility to liquefaction. The data collected was complemented by an extensive field testing campaign carried out under the project, including the collection of undisturbed samples for further study and characterization in the laboratory. The in situ tests included standard penetration tests (SPT), piezocone penetrometer (CPTu) tests, Marchetti dilatometer tests with seismic velocity measurement (SDMT) and geophysical tests, including seismic refraction and HVSR tests. The careful analysis of all these tests and their results, using the most recent methods to evaluate the susceptibility to liquefaction, allowed the definition of a preliminary microzoning of the area in relation to its liquefaction potential, based on the Factor of Safety against liquefaction (FSliq), Liquefaction Potential Index (LPI) and Liquefaction Severity Number (LSN). The present work intends to present this preliminary microzoning, as well as a summary of the objectives and contributions of the project to the evolution of the study of liquefaction in Portugal.", "keywords": ["13. Climate action", "11. Sustainability"], "contacts": [{"organization": "Viana da Fonseca, Ant\u00f3nio, Ramos, Catarina, Ferreira, Cristiana, Saldanha, Ana Sofia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3465225"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%2016th%20Natioanl%20Portuguese%20Geotechnical%20Congress", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3465225", "name": "item", "description": "10.5281/zenodo.3465225", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3465225"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3465418", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:14Z", "type": "Report", "title": "Ground Characterization Studies in \u00c7anakkale Pilot Site of LIQUEFACT Studies", "description": "The our aim is to outline the ground characterisation studies in Canakkale test site. Study is based on the EU H2020 LIQUEFACT project entitled \u201cLiquefact: Assessment and mitigation of liquefaction potential across Europe: a holistic approach to protect structures / infrastructures for improved resilience to earthquake-induced liquefaction disasters\u201d. Objectives and extent of ground characterization for Canakkale test site includes pre-existing soil investigation studies and complementary field studies. There were several SPT and geophysical tests carried out in the study area. Within the context of the complementary tests, six (6) study areas in the test site were chosen and complementary tests were carried out in these areas. In these areas, additional boreholes were opened and SPT tests were performed. It was decided that additional CPT (CPTU and SCPT) and Marchetti Dilatometer (DMT) tests should be carried out within the scope of the complementary testing. Seismic refraction, MASW and micro tremor measurements had been carried out in pre-existing studies. Shear wave velocities obtained from MASW measurements were evaluated to the most rigorous level. These tests were downhole seismic, PS-logging, seismic refraction, 2D-ReMi, MASW, micro tremor (H/V Nakamura method), 2D resistivity and resonance acoustic profiling (RAP). RAP is a new technique which will be explained briefly in the relevant section. Dynamic soil properties had not been measured in pre-existing studies, therefore these properties were investigated within the scope of the complementary tests. Selection of specific experimental tests of the complementary campaign was based on cost-benefit considerations Within the context of complementary field studies, dynamic soil properties were measured using resonant column and cyclic direct shear tests. Several sieve analyses and Atterberg Limits tests which were documented in the pre-existing studies were evaluated. In the complementary study carried out, additional sieve analyses and Atterberg Limit tests were carried out. It was aimed to make some correlations between geophysical measurements and other field measurements; such as SPT, blow count values.", "keywords": ["13. Climate action"], "contacts": [{"organization": "Ozcep, F., Oztoprak, S., Aysal, N., Bozbey, I., Tezel, O., Oser, C., Sargin, S., Bekin, E., Almasraf, M., Cinku, M. C., Ozdemir, K.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3465418"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3465418", "name": "item", "description": "10.5281/zenodo.3465418", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3465418"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-14T00:00:00Z"}}, {"id": "10.5281/zenodo.3465430", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:14Z", "type": "Journal Article", "title": "GROUND CHARACTERIZATION OF CANAKKALE CITY CENTER FROM A LIQUEFACTION POINT OF VIEW", "description": "This paper presents the results of an extensive ground characterization study carried within the context of a Horizon 2020
Project, \u201cLiquefact\u201d. The project aims to develop a low-accuracy liquefaction risk map for European countries based on
past liquefaction occurrences and existing geological, geotechnical and seismological information. This risk map will be
validated and/or optimized after performing site-specific, localized analyses in four regions denoted as \u201ctesting sites\u201d. In
this context, Canakkale city center was selected as the test site in Marmara Region by Istanbul University team and ground
characterization was performed from a liquefaction point of view. Canakkale city center is founded on loose, saturated
sand and silts and is characterized by a high seismic hazard and therefore fullfills the criteria as a test site. Within the
context of the study, pre-existing studies carried out in the region were first collected and evaluated. The areas which
were susceptible to liquefaction were determined and six study areas in the test site were selected accordingly. A
complementary investigation campaign was then planned for these six study areas taking into account that the data will
be used in liquefaction assessment studies. Ground characterization focused on coarse-grained soils including clean sands,
silty-sands and non-plastic sandy-silts deposits in view of the susceptibility of these geomaterials to liquefaction. This
paper summarizes these complementary studies carried out in the region, gives examples from the evaluations that were
made in one of the study areas and evaluates the findings from a soil characterization point.", "keywords": ["13. Climate action", "11. Sustainability", "15. Life on land"], "contacts": [{"organization": "Oztoprak, S., Bozbey, B., Oser, C., Sargin, S., Ozcep, F., Aysal, N., Tezel, O., Cinku, M. C., Ozdemir, K., Bekin, E., Almasraf, M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3465430"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/16th%20European%20Conference%20on%20Earthquake%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3465430", "name": "item", "description": "10.5281/zenodo.3465430", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3465430"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3465473", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:14Z", "type": "Journal Article", "created": "2021-02-14", "title": "Earthquake-induced soil liquefaction risk: macrozonation of the European territory taking into account exposure", "description": "

Among natural hazards, earthquakes claim a large number of casualties and economical losses each year around the globe. Excessive deformations of ground surface caused by earthquakes are of great concern in civil engineering, human lives and the environment. Such ground deformations are often associated with a phenomenon of soil instability called earthquake-induced soil liquefaction. Earthquake induced liquefaction disasters at a continental scale are currently addressed within the European research project LIQUEFACT. The University of Pavia (UNIPV) and the European Centre for Training and Research in Earthquake Engineering (EUCENTRE) are currently in charge for the definition of a European liquefaction risk map in the European territory (macrozonation). It is worth noting that liquefaction is a local phenomenon, thus the macrozonation of liquefaction risk at a continental scale is a challenge. This paper presents the preliminary deliverables of this activity, i.e. the maps for the European territory of liquefaction risk, computed by convolving soil susceptibility, expected seismic hazard and exposure.

", "keywords": ["13. Climate action", "0211 other engineering and technologies", "02 engineering and technology"], "contacts": [{"organization": "Lai, Carlo G., Conca, Daniele, Bozzoni, Francesca, Meisina, Claudia, Bon\u00ec, Roberta,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3465473"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IABSE%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3465473", "name": "item", "description": "10.5281/zenodo.3465473", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3465473"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3465459", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:14Z", "type": "Journal Article", "title": "Assessment of earthquake-induced- risk of soil liquefaction using CPT-based methods: application to the case study of Cavezzo municipality (Italy)", "description": "Geophysical Research Abstracts, European Geosciences Union General Assembly 2019, EGU 2019, April 7-12 2019, Vienna, Austria.", "keywords": ["13. Climate action"], "contacts": [{"organization": "Gomez, J.C., Bozzoni, F., Fam\u00e0, A., Lai, C. G.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3465459"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geophysical%20Research%20Abstracts%2C%20European%20Geosciences%20Union%20General%20Assembly%202019%2C%20EGU%202019%2C%20April%207-12%202019%2C%20Vienna%2C%20Austria.", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3465459", "name": "item", "description": "10.5281/zenodo.3465459", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3465459"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3465483", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:14Z", "type": "Journal Article", "title": "\u00c7anakkale \u015eehir Merkezinin S\u0131v\u0131la\u015fma A\u00e7\u0131s\u0131ndan Zemin Karakterizasyonu", "description": "This paper presents the results of an extensive ground characterization study carried within the context of a Horizon 2020 Project, \u201cLiquefact\u201d. The project aims to develop a low-accuracy liquefaction risk map for European countries based on past liquefaction occurrences and existing geological, geotechnical and seismological information. This risk map will be validated and/or optimized after performing site-specific, localized analyses in four regions denoted as \u201ctesting sites\u201d. In this context, Canakkale city center was selected as the test site in Marmara Region by Istanbul University team and ground characterization was performed from a liquefaction point of view. Canakkale city center is founded on loose, saturated sand and silts and is characterized by a high seismic hazard and therefore full fills the criteria as a test site. Within the context of the study, pre-existing studies carried out in the region were first collected and evaluated. The areas which were susceptible to liquefaction were determined and six study areas in the test site were selected accordingly. A complementary investigation campaign was then planned for these six study areas taking into account that the data will be used in liquefaction assessment studies. Ground characterization focused on coarse-grained soils including clean sands, silty-sands and non-plastic sandy-silts deposits in view of the susceptibility of these geomaterials to liquefaction.", "keywords": ["13. Climate action", "11. Sustainability"], "contacts": [{"organization": "Oztoprak, S., Bozbey, I., Oser, C., Sargin, S., Ozcep, F., Aysal, N., Kelesoglu, M. K., Almasraf, M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3465483"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/17th%20National%20Conference%20on%20Soil%20Mechanics%20and%20Geotechnical%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3465483", "name": "item", "description": "10.5281/zenodo.3465483", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3465483"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3465487", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:14Z", "type": "Journal Article", "title": "Seismic and Geological Bedrock Depth Estimation at Cavezzo Site (Po Plain, Northern Italy): Example of Passive Geophysical Survey in the Assessment of Soil Liquefaction Potential", "description": "Geophysical Research Abstracts, European Geosciences Union General Assembly 2018, EGU 2018, April 8-13, 2018. Vienna, Austria.", "keywords": ["13. Climate action"], "contacts": [{"organization": "Massa, Marco, Mascandola, Claudia, Lovati, Sara, Carannante, Simona, Morasca, Paola, D'Alema, Ezio, Franceschina, Gianlorenzo, Gomez, Antonio, Poggi, Valerio, Martelli, Luca, Lai, Carlo G.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3465487"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20geosciences%20union%20general%20assembly", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3465487", "name": "item", "description": "10.5281/zenodo.3465487", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3465487"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3465694", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:14Z", "type": "Journal Article", "title": "EVALUATION OF CYCLIC LIQUEFACTION RESISTANCE FROM LABORATORY TESTS ON LIQUEFIABLE SOILS FROM THE LOWER TAGUS VALLEY", "description": "In mainland Portugal, seismic risk is particularly relevant in the south-west and south costal zones, mainly
in the Tagus River Valley and the Algarve region. The Lower Tagus Valley (LTV) has been affected by several earthquakes throughout history and also recently, which have caused serious material damages and loss of human lives. This area has been studied for its high susceptibility to the liquefaction phenomenon due to its geological and geomorphological conditions and the seismicity associated to the region. Within the scope of the European research project H2020 LIQUEFACT and the national project supported by FCT, Liq2ProEarth, a pilot site was selected in Lez\u00edria Grande de Vila Franca de Xira, where a vast set of in situ tests were carried out and undisturbed samples were collected for later characterization in the laboratory. The performance of laboratory tests in these materials is determinant for the evaluation of its geomechanical behaviour in different seismic action scenarios and consequent definition of the necessary model parameters used in numerical analyses to evaluate the behaviour of the land with liquefiable soils in the event of an earthquake. The study presented in this article focuses on the comparison of results obtained by different test procedures performed on different materials collected in the experimental site. Cyclic triaxial tests, with inversion of principal stresses, and cyclic simple shear test, which allow the rotation of the principal stresses, were performed with different values of Cyclic Stress Ratio (CSR), whose objective was the determination of liquefaction susceptibility curves for each material. The tests investigate the influence of fines content and seismic action (characterized by CSR) on the behaviour of soils subjected to cyclic loading.", "keywords": ["13. Climate action"], "contacts": [{"organization": "Ramos, Catarina, Viana da Fonseca, Ant\u00f3nio, Coelho, Daniela,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3465694"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%2016th%20Century%20National%20Portuguese%20Geotechnical%20Congress", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3465694", "name": "item", "description": "10.5281/zenodo.3465694", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3465694"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.3571203", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:15Z", "type": "Report", "title": "Solar drying as a nature-based approach for nutrients recovery from digested animal manures", "description": "Solar drying, a nature-based technology, with low environmental impact and energy cost, is being used for the first time for nutrient recovery from anaerobically digested animal manures. The final product is comparable to other organic fertilizers. In this work, a mass balance of combined digestate treatments (solid-liquid separation, stripping, acidification and solar drying) is presented to evaluate the potential of this technology, identifying its bottle-necks and feasibility at full-scale as well as its environmental impact by gaseous emission monitoring.", "keywords": ["13. Climate action", "resource recovery", " digestate", " solar drying", " high-quality fertilizers.", "7. Clean energy", "6. Clean water", "12. Responsible consumption"], "contacts": [{"organization": "Morey, Riau, Biel, Porta, Soler, , Fern\u00e1ndez,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3571203"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3571203", "name": "item", "description": "10.5281/zenodo.3571203", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3571203"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-08T00:00:00Z"}}, {"id": "10.5281/zenodo.3572061", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:15Z", "type": "Dataset", "title": "Field-lab data and analyses results West Kalimantan, Indonesia", "description": "Open AccessField data included in this compressed folder were collected over an area of approximately 23,500 hectares in West Kalimantan, Indonesia. The folder includes Excel and txt files with the following contents: field measurements of the peat thickness at 63 coring sites, laboratory analyses results of the samples collected in the field, field and lab measurements of electrical conductivity. Moreover, there is a file containing all the measurements of peat thickness and soil elevation extracted from the figures contained in previous studies. Finally, the folder also includes the results obtained from the inversion of the Airborne Electromagntic (AEM) data collected with the SkyTEM instrument over the study site, and specifically the resistivity of the soil layers obtained from the inversion and the peat thickness corresponding to the 45 Ohmm threshold. The folder also includes the Python codes used for the statistical analyses explained in the paper.", "keywords": ["13. Climate action", "15. Life on land", "Organic carbon content", " Airborne Electromagnetics", " CRESCENDO", " Marie Sk\u0142odowska-Curie action", " peatlands", " peat thickness", " peat volume", " Indonesia", " SkyTEM", " carbon pool"], "contacts": [{"organization": "Sonia, Silvestri, Knight Rosemary, Viezzoli Andrea, Richardson Curtis, Anshari Gusti, Dewar Noah, Flanagan Neal, Comas Xavier,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3572061"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3572061", "name": "item", "description": "10.5281/zenodo.3572061", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3572061"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-12T00:00:00Z"}}, {"id": "10.5281/zenodo.3613441", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:15Z", "type": "Journal Article", "title": "EstSoil-EH v1.0: An eco-hydrological modelling parameters dataset derived from the Soil Map of Estonia - Poster", "description": "In this study, we created an extended eco-hydrological dataset for Estonia, the EstSoil-EH v1.0
(Kmoch et al., 2019a), containing derived numerical values for the following data in all of the
mapped soil units in the 1:10000 soil map: soil profiles (e.g., layers, depths), texture (clay, silt,
sand components), coarse fragments and rock content, and physical variables related to water and
carbon (bulk density, hydraulic conductivity, organic carbon content). This poster of the study was presented at the International Soil Day held at the University of Life Sciences, Tartu, Estonia: X Mullap\u00e4ev, 5th December 2019 Tartu, Kreutzwaldi 1a, Eesti Maa\u00fclikooli aula", "keywords": ["2. Zero hunger", "13. Climate action", "soil", " Estonia", "11. Sustainability", "15. Life on land", "6. 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