{"type": "FeatureCollection", "features": [{"id": "10.1016/j.ecolecon.2012.12.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:14Z", "type": "Journal Article", "created": "2013-02-01", "title": "Transaction Costs Of Carbon Offset Projects: A Comparative Study", "description": "Abstract   The land-use change and forestry sector can be a cost-effective contributor to climate mitigation in at least three ways: providing carbon offsets through carbon sequestration in biomass and soils, reducing emissions of methane and other greenhouse gases, and producing biofuels that replace fossil fuels. The presence of carbon markets should help encourage these activities; however, most carbon trades to date have occurred in the energy sector. A major obstacle to carbon trades from land-use systems is the presence of high transaction costs of converting a carbon offset into a tradable commodity, so the prevailing market carbon prices may not provide enough incentive for adoption. This paper presents a model of the exchange of carbon offsets between a project developer and a group of landholders. The model is solved to derive project feasibility frontiers that show the minimum number of contracts necessary to make a project feasible at any given carbon price. The model is applied to two case studies (smallholder agroforestry in Indonesia and partial reforestation of family farms in Australia) under two types of contract (purchase of carbon flows and rental of carbon stocks). The paper concludes by identifying possible strategies to reduce transaction costs while maintaining project integrity.", "keywords": ["13. Climate action", "11. Sustainability", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "7. Clean energy", "01 natural sciences", "12. Responsible consumption", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.ecolecon.2012.12.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Economics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecolecon.2012.12.008", "name": "item", "description": "10.1016/j.ecolecon.2012.12.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecolecon.2012.12.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-04-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2024.125193", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:26Z", "type": "Journal Article", "created": "2024-10-24", "title": "Effect of particle size on the transport of polystyrene micro- and nanoplastic particles through quartz sand under unsaturated conditions", "description": "Micro- and nanoplastics (MNPs) are contaminants of emerging concern recently found in soil ecosystems. Their presence in terrestrial environments and their migration to aquatic environments may become a risk for the health of ecosystems and, through them, of humans. Understanding the interaction between particle properties and physicochemical and hydrodynamic factors is crucial to evaluate their fate and their potential infiltration towards groundwater. This study investigates the impact of particle size on MNPs transport through sand under unsaturated conditions. Infiltration column experiments with polystyrene MNPs ranging from 120 to 10,000\u00a0nm were conducted and supported by numerical modelling to derive reactive transport parameters. Results show a significant effect of particle size on the transport of MNPs, with higher recovery values observed for smaller particles (120\u00a0nm; 95.11%) compared to larger particles (1000\u00a0nm; 71.44%). No breakthrough was observed for 10,000\u00a0nm particles, indicating a complete retention within the quartz sand matrix. DLVO theory confirmed the dominance of electrostatic repulsive forces between MNPs and sand grains, suggesting an unfavourable environment for MNPs to adhere to quartz sand. Consequently, particle retention in the sand matrix occurs predominantly by physical processes. Equilibrium sorption modelling reveals that larger particles (1000\u00a0nm) tend to be immobilized in small pores throats due to straining, resulting in lower recoveries. When they are not trapped, particles tend to travel faster through preferential flows due to a size exclusion effect, evidenced by shorter arrival times at the column outlet compared to tracers. These findings highlight the influence of particle size on the transport and retention of MNPs in quartz sand under unsaturated conditions and contribute to a better understanding of their transport dynamics and environmental fate.", "keywords": ["Microplastics", "Q Science (General)", "Quartz", "particle size", "QS Ecology", "nanoplastics", "modelling", "Sand", "Polystyrenes", "Nanoparticles", "Soil Pollutants", "Particle Size", "Plastics", "Groundwater"], "contacts": [{"organization": "Rieckhof, Cynthia, Mart\u00ednez-Hern\u00e1ndez, Virtudes, Holzbecher, Ekkehard, Meffe, Raffaella,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2024.125193"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2024.125193", "name": "item", "description": "10.1016/j.envpol.2024.125193", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2024.125193"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1073/pnas.2113148118", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:18:46Z", "type": "Journal Article", "created": "2021-09-14", "title": "Microbial self-recycling and biospherics", "description": "Microbes are well known as potent recyclers of leftover biomass in ecosystems, preventing nutrient cycles from simply getting stuck (1). However, a lot less is known about how microbes can recycle themselves, their own biomass. This is highly relevant, because microbes don\u2019t often find themselves in front of a lavish buffet, but rather have to eke out a living at the edge of nutrient and energy starvation. In their paper in PNAS, Shoemaker et al. (2) examine the ability of populations of bacteria to recycle their own biomass, elegantly combining long-term experiments with modeling. The authors enclosed 100 populations from 21 different taxa individually and followed their fate for 3 y\u2014all in the absence of matter or energy inputs. They find that almost all populations (except for one) survived, with extinction times estimated often in decades and far exceeding what would be expected from individual longevity under conditions of resource limitation. Thus, in many of the bacterial strains, when individuals die, living individuals can use the dead biomass of other individuals to increase their own survival and reproduction, thus greatly prolonging population persistence.  These results are relevant to many questions in environmental microbiology. For example, this recycling ability, and thus the ability to maintain oneself during periods of adversity, may be part of the remarkable \u2026   [\u21b5][1]1To whom correspondence may be addressed. Email: rillig{at}zedat.fu-berlin.de.   [1]: #xref-corresp-1-1", "keywords": ["2. Zero hunger", "15. Life on land", "Ecological Systems", " Closed", "Life Support Systems", "12. Responsible consumption", "3. Good health"]}, "links": [{"href": "https://pnas.org/doi/pdf/10.1073/pnas.2113148118"}, {"href": "https://doi.org/10.1073/pnas.2113148118"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1073/pnas.2113148118", "name": "item", "description": "10.1073/pnas.2113148118", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1073/pnas.2113148118"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-09-07T00:00:00Z"}}, {"id": "10.1111/gcb.12819", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:19:25Z", "type": "Journal Article", "created": "2014-12-05", "title": "Soil Warming And Co2 Enrichment Induce Biomass Shifts In Alpine Tree Line Vegetation", "description": "Abstract<p>Responses of alpine tree line ecosystems to increasing atmospheric CO2 concentrations and global warming are poorly understood. We used an experiment at the Swiss tree line to investigate changes in vegetation biomass after 9\uffc2\uffa0years of free air CO2 enrichment (+200\uffc2\uffa0ppm; 2001\uffe2\uff80\uff932009) and 6\uffc2\uffa0years of soil warming (+4\uffc2\uffa0\uffc2\uffb0C; 2007\uffe2\uff80\uff932012). The study contained two key tree line species, Larix decidua and Pinus uncinata, both approximately 40\uffc2\uffa0years old, growing in heath vegetation dominated by dwarf shrubs. In 2012, we harvested and measured biomass of all trees (including root systems), above\uffe2\uff80\uff90ground understorey vegetation and fine roots. Overall, soil warming had clearer effects on plant biomass than CO2 enrichment, and there were no interactive effects between treatments. Total plant biomass increased in warmed plots containing Pinus but not in those with Larix. This response was driven by changes in tree mass (+50%), which contributed an average of 84% (5.7\uffc2\uffa0kg\uffc2\uffa0m\uffe2\uff88\uff922) of total plant mass. Pinus coarse root mass was especially enhanced by warming (+100%), yielding an increased root mass fraction. Elevated CO2 led to an increased relative growth rate of Larix stem basal area but no change in the final biomass of either tree species. Total understorey above\uffe2\uff80\uff90ground mass was not altered by soil warming or elevated CO2. However, Vaccinium myrtillus mass increased with both treatments, graminoid mass declined with warming, and forb and nonvascular plant (moss and lichen) mass decreased with both treatments. Fine roots showed a substantial reduction under soil warming (\uffe2\uff88\uff9240% for all roots &lt;2\uffc2\uffa0mm in diameter at 0\uffe2\uff80\uff9320\uffc2\uffa0cm soil depth) but no change with CO2 enrichment. Our findings suggest that enhanced overall productivity and shifts in biomass allocation will occur at the tree line, particularly with global warming. However, individual species and functional groups will respond differently to these environmental changes, with consequences for ecosystem structure and functioning.</p>", "keywords": ["0106 biological sciences", "2. Zero hunger", "Models", " Statistical", "Temperature", "Larix", "Carbon Dioxide", "15. Life on land", "Pinus", "Global Warming", "01 natural sciences", "Soil", "Species Specificity", "13. Climate action", "Biomass", "Tundra", "Switzerland"]}, "links": [{"href": "https://doi.org/10.1111/gcb.12819"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.12819", "name": "item", "description": "10.1111/gcb.12819", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.12819"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-30T00:00:00Z"}}, {"id": "10.1111/gcb.70130", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:19:28Z", "type": "Journal Article", "created": "2025-03-18", "title": "What Are the Limits to the Growth of Boreal Fires?", "description": "ABSTRACT<p>Boreal forest regions, including East Siberia, have experienced elevated fire activity in recent years, leading to record\uffe2\uff80\uff90breaking greenhouse gas emissions and severe air pollution. However, our understanding of the factors that eventually halt fire spread and thus limit fire growth remains incomplete, hindering our ability to model their dynamics and predict their impacts. We investigated the locations and timing of 2.2 million fire stops\uffe2\uff80\uff94defined as 300\uffe2\uff80\uff89m unburned pixels along fire perimeters\uffe2\uff80\uff94across the vast East Siberian taiga. Fire stops were retrieved from remote sensing data covering over 27,000 individual fires that collectively burned 80 Mha between 2012 and 2022. Several geospatial datasets, including hourly fire weather data and landscape variables, were used to identify the factors contributing to individual fire stops. Our analysis attributed 87% of all fire stops to a statistically significant (p\uffe2\uff80\uff89&lt;\uffe2\uff80\uff890.01) change in one or more of these drivers, with fire\uffe2\uff80\uff90weather drivers limiting fire growth over time and landscape drivers constraining it across space. We found clear regional and temporal variations in the importance of these drivers. For instance, landscape drivers\uffe2\uff80\uff94such as less flammable land cover and the presence of roads\uffe2\uff80\uff94were key constraints on fire growth in southeastern Siberia, where the landscape is more populated and fragmented. In contrast, fire weather was the primary constraint on fire growth in the remote northern taiga. Additionally, in central Yakutia, a major fire hotspot in recent years, fuel limitations from previous fires increasingly restricted fire spread. The methodology we present is adaptable to other biomes and can be applied globally, providing a framework for future attribution studies on global fire growth limitations. In northeast Siberia, we found that with increasing droughts and heatwaves, remote northern fires could potentially grow even larger in the future, with major implications for the global carbon cycle and climate.</p", "keywords": ["Siberia", "Climate Change", "Taiga", "Remote Sensing Technology", "Life Science", "Weather", "Fires", "Research Article", "Wildfires"], "contacts": [{"organization": "Thomas A. J. Janssen, Sander Veraverbeke,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1111/gcb.70130"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.70130", "name": "item", "description": "10.1111/gcb.70130", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.70130"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-01T00:00:00Z"}}, {"id": "10.1111/gcbb.12255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:19:29Z", "type": "Journal Article", "created": "2015-02-19", "title": "Bioenergy Harvest, Climate Change, And Forest Carbon In The Oregon Coast Range", "description": "Abstract<p>Forests provide important ecological, economic, and social services, and recent interest has emerged in the potential for using residue from timber harvest as a source of renewable woody bioenergy. The long\uffe2\uff80\uff90term consequences of such intensive harvest are unclear, particularly as forests face novel climatic conditions over the next century. We used a simulation model to project the long\uffe2\uff80\uff90term effects of management and climate change on above\uffe2\uff80\uff90 and belowground forest carbon storage in a watershed in northwestern Oregon. The multi\uffe2\uff80\uff90ownership watershed has a diverse range of current management practices, including little\uffe2\uff80\uff90to\uffe2\uff80\uff90no harvesting on federal lands, short\uffe2\uff80\uff90rotation clear\uffe2\uff80\uff90cutting on industrial land, and a mix of practices on private nonindustrial land. We simulated multiple management scenarios, varying the rate and intensity of harvest, combined with projections of climate change. Our simulations project a wide range of total ecosystem carbon storage with varying harvest rate, ranging from a 45% increase to a 16% decrease in carbon compared to current levels. Increasing the intensity of harvest for bioenergy caused a 2\uffe2\uff80\uff933% decrease in ecosystem carbon relative to conventional harvest practices. Soil carbon was relatively insensitive to harvest rotation and intensity, and accumulated slowly regardless of harvest regime. Climate change reduced carbon accumulation in soil and detrital pools due to increasing heterotrophic respiration, and had small but variable effects on aboveground live carbon and total ecosystem carbon. Overall, we conclude that current levels of ecosystem carbon storage are maintained in part due to substantial portions of the landscape (federal and some private lands) remaining unharvested or lightly managed.\uffc2\uffa0Increasing the intensity of harvest for bioenergy on currently harvested land, however,\uffc2\uffa0led to a relatively small reduction in the ability of forests to store carbon. Climate change is unlikely to substantially alter carbon storage in these forests, absent shifts in disturbance regimes.</p>", "keywords": ["0106 biological sciences", "Carbon dioxide mitigation", "Forest ecology -- Oregon -- Oregon Coast Range", "Forest biomass", "13. Climate action", "Carbon cycle (Biogeochemistry)", "Biomass energy", "Forest Biology", "15. Life on land", "01 natural sciences", "7. Clean energy", "Climatic change", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/gcbb.12255"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcbb.12255", "name": "item", "description": "10.1111/gcbb.12255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-25T00:00:00Z"}}, {"id": "10.1111/sum.12198", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:19:51Z", "type": "Journal Article", "created": "2015-07-31", "title": "Long-Term Effects Of Tillage, Nutrient Application And Crop Rotation On Soil Organic Matter Quality Assessed By Nmr Spectroscopy", "description": "Abstract<p>Crop and land management practices affect both the quality and quantity of soil organic matter (SOM) and hence are driving forces for soil organic carbon (SOC) sequestration. The objective of this study was to assess the long\uffe2\uff80\uff90term effects of tillage, fertilizer application and crop rotation onSOCin an agricultural area of southern Norway, where a soil fertility and crop rotation experiment was initiated in 1953 and a second experiment on tillage practices was initiated in 1983. The first experiment comprised 6\uffe2\uff80\uff90yr crop rotations with cereals only and 2\uffe2\uff80\uff90yr cereal and 4\uffe2\uff80\uff90yr grass rotations with recommended (base) and more than the recommended (above base) fertilizer application rates; the second experiment dealt with autumn\uffe2\uff80\uff90ploughed (conventional\uffe2\uff80\uff90till) plots and direct\uffe2\uff80\uff90drilled plots (no\uffe2\uff80\uff90till). Soil samples at 0\uffe2\uff80\uff9310 and 10\uffe2\uff80\uff9330\uffc2\uffa0cm depths were collected in autumn 2009 and analysed for their C and N contents. The quality ofSOMin the top layer was determined by13C solid\uffe2\uff80\uff90stateNMRspectroscopy. TheSOCstock did not differ significantly because of rotation or fertilizer application types, even after 56\uffc2\uffa0yr. However, the no\uffe2\uff80\uff90till system showed a significantly higherSOCstock than the conventional\uffe2\uff80\uff90till system at the 0\uffe2\uff80\uff9310\uffc2\uffa0cm depth after the 26\uffc2\uffa0yr of experiment, but it was not significantly different at the 10\uffe2\uff80\uff9330\uffc2\uffa0cm depth. In terms of quality,SOMwas found to differ by tillage type, rate of fertilizer application and crop rotation. The no\uffe2\uff80\uff90till system showed an abundance of O\uffe2\uff80\uff90alkyl C, while conventional\uffe2\uff80\uff90till system indicated an apparently indirect enrichment in alkyl C, suggesting a more advanced stage ofSOMdecomposition. The long\uffe2\uff80\uff90term quantitative and qualitative effects onSOMsuggest that adopting a no\uffe2\uff80\uff90tillage system and including grass in crop rotation and farmyard manure in fertilizer application may contribute to preserve soil fertility and mitigate climate change.</p>", "keywords": ["Fertilizer application", "2. Zero hunger", "Crop rotation", " fertilizer application", " soil organic carbon (SOC)", " soil organic matter (SOM)", " tillage", " NMR spectroscopy.", "NMR spectroscopy", "Crop rotation", "Soil organic matter (SOM)", "13. Climate action", "Soil organic carbon (SOC)", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Tillage"]}, "links": [{"href": "https://doi.org/10.1111/sum.12198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Use%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/sum.12198", "name": "item", "description": "10.1111/sum.12198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/sum.12198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-07-31T00:00:00Z"}}, {"id": "10.1186/s12302-025-01141-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:20:04Z", "type": "Journal Article", "created": "2025-06-15", "title": "Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments", "description": "Abstract                        Background             <p>Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill leachate, surface runoff, and atmospheric deposition. The primary objectives are to assess the extent of PFAS contamination, identify key emission sources and transport pathways, and evaluate associated risks in terms of the potential exceedance of current and proposed environmental regulatory thresholds in the European Union.</p>                                   Results             <p>The findings reveal a widespread presence of PFAS, with PFOA, PFOS and short-chain compounds being predominant. The Alz River and Gendorf chemical park emerge as hotspots with far-reaching effects downstream, contributing significantly to diffuse legacy contamination of PFOA and being a significant source of two industrial PFOA substitutes, ADONA and GenX. Wastewater treatment plants, old municipal landfills, and sites with a history of fire-fighting foam application are identified as key pathways or sources of legacy pollution, exhibiting higher concentrations compared to the other matrices. Notably, no significant removal is observed when comparing influent and effluent samples from conventional WWTPs. The study further demonstrates that groundwater is vulnerable to contamination from point sources and to infiltration from rivers, with bank filtration proving largely ineffective in preventing PFAS contamination.</p>                                   Conclusions             <p>The study underscores the necessity for source and pathway control measures to mitigate PFAS pollution, the implementation of advanced treatment technologies to safeguard drinking water and surface water quality, and targeted remediation for legacy soil and groundwater contamination. Additionally, strong use regulations should be explored to minimize ongoing emissions. The multi-compartment monitoring proves to be a crucial approach to understand the complexity of PFAS distribution at the catchment scale. Comparative analysis and risk assessment highlight challenging situations for water management, offering an indispensable basis for emission modeling as a next step for quantitative assessment of the relevance of different sources and pathways for surface water pollution.</p>", "keywords": ["Emerging contaminants", "Emerging Pollutants", "PFAS", "Source identification", "Watershed management", "Environmental sciences", "Emission", "Water Framework Directive", "Environmental law", "Water pollution", "GE1-350", "K3581-3598", "Catchment monitoring", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1186/s12302-025-01141-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s12302-025-01141-6", "name": "item", "description": "10.1186/s12302-025-01141-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s12302-025-01141-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-15T00:00:00Z"}}, {"id": "10.17026/dans-z8z-5t4e", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:20:36Z", "type": "Dataset", "title": "Consumers' attitudes towards microbial applications in food production", "description": "The data was collected using an online survey as part of the research activities of the European Horizon 2020 project SIMBA (Sustainable Innovation of Microbiome Applications in the Food System). Online surveys were used to collect consumer respondent data for three food products (wheat bread, consumer potatoes and tomato sauce). These food products were selected as part of the EU Horizon 2020 SIMBA project for reflecting the diversity of food value chains in terms of organisation, technology, climatic conditions and consumption patterns across the EU. Three questionnaires corresponding to the three food products were prepared. The questionnaires consisted of four main parts: (1) socio-demographic characteristics (e.g. gender, education, income; Part One), (2) health and environmental concerns related to chemical use in farming, knowledge about microbial applications, perceived microbial health risks and attitude towards microbial applications in food production (Part Two), (3) questions for eliciting a consumer\u2019s willingness-to-pay (WTP) for a food product that had been obtained through a microbial-enhanced production system with reduced or no chemical use (Part Three), and (4) questions for eliciting a respondent\u2019s food choice motives (FCMs) using de Boer et al.\u2019s (2007) FCM questionnaire (Part Four). In addition, the questionnaire had an introduction section containing information sheet about the study and a consent form. The consent form and the information sheet for safeguarding the ethical aspects of this study (e.g. data handling, privacy and potential risks to respondents) were approved by the General Assembly of the SIMBA project as well as the Social Sciences Ethics Committee of Wageningen University prior to distributing the surveys. We collected data primarily from three countries: Germany, Italy and Netherlands.The data was collected to undertake a study to support the uptake of food products that are produced and/or processed using microbial applications. The aim of the survey was to get some insights about food choice motives of consumers, and the socio-demographic and behavioural factors influencing their food choices. The survey specifically aimed to assess the preferences and perceptions, and willingness-to-pay of consumers to wheat, potato and tomato-based food products that are produced and/or processed using microbial applications.", "keywords": ["2. Zero hunger", "13. Climate action", "Economics", "Social and Behavioural Sciences", "Business and Management", "Food economics", "12. Responsible consumption"], "contacts": [{"organization": "BM Ali", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.17026/dans-z8z-5t4e"}, {"rel": "self", "type": "application/geo+json", "title": "10.17026/dans-z8z-5t4e", "name": "item", "description": "10.17026/dans-z8z-5t4e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.17026/dans-z8z-5t4e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.2139/ssrn.5084742", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:21:14Z", "type": "Journal Article", "created": "2025-05-25", "title": "ZnO-nanostructured electrochemical sensor for efficient detection of glyphosate in water", "description": "Glyphosate is a widely used broad-spectrum herbicide for controlling grassy weeds, despite having potential health hazards. Herein, we report on a solid-state electrochemical sensor based on ZnO nanoparticles (ZnO NPs) for on-site detection of glyphosate. Accordingly, ZnO NPs was drop-cast on the surface of a disposable screen-printed carbon electrode. Eco-friendly ZnO NPs of only 7 nm crystallite sizes were obtained by green sol-gel synthesis using lemon (Citrus limon) waste aqueous extract as the green reducing and capping/stabilizing agent and Zn nitrate precursor as evidenced by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction and diffuse reflectance. SEM confirmed successful electrode functionalization with the synthesized nanoparticles. Under laboratory conditions in acetate buffer (pH 5), the sensor demonstrated excellent selectivity and sensitivity, with a detection limit of 0.648 \u00b5M, a wide linear detection range (0.5 \u00b5M to 7.5 mM), and a rapid detection time of 30 min. When tested in river water, the sensor achieved a detection limit of 0.96 \u00b5M using differential pulse voltammetry. It also exceptionally tolerated interference from similar organophosphorus compounds and ions commonly found in river water. The excellent detection performance of the sensor was attributed to the strong coordination interactions between Zn atoms and phosphonate/carboxylate groups that are enhanced by a hydrogen bond at acidic pH, as determined by chemical calculations. This disposable sensor offers a cost-effective, efficient, and environmentally friendly solution for monitoring glyphosate in water systems.", "keywords": ["QD71-142", "Environmental water", "Eco-friendly ZnO nanoparticles", "Computational modeling", "Pesticides", "Eco-friendly ZnO nanoparticles;", "[SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology", "Analytical chemistry", "Sensor"]}, "links": [{"href": "https://doi.org/10.2139/ssrn.5084742"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Talanta%20Open", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2139/ssrn.5084742", "name": "item", "description": "10.2139/ssrn.5084742", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.5084742"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.3389/fbioe.2019.00378", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:21:33Z", "type": "Journal Article", "created": "2019-12-04", "title": "Thickness of Polyelectrolyte Layers of Separately Confined Bacteria Alters Key Physiological Parameters on a Single Cell Level", "description": "Confinement of bacterial cells in a matrix or in capsules is an integral part of many biotechnological applications. Here, the well-known layer-by-layer method of deposition of a polyelectrolyte film a few nanometers in thickness to confine separated bacterial cells in permeable and physically durable shells has been examined. Due to the physical properties of such a confinement, we found that this method enables investigation of effects of physical barriers against mass gain and cell division. Using the method of time-lapse confocal microscopy, we observed a prolonged lag phase, dependent on the number of polyelectrolyte layers. In the confinement, both the GFP fluorescent signal from the leaking T7 promoter and the cell size were increased by factors of more than five and two, respectively. This creates a paradigm shift that enables use of mechanical entrapment for control of bacterial cell physiology and opens possibilities of controlling the division rate as well as gene expression. These effects can be attributed to the perturbation of the sensing of the cell size, which results in disproportional synthesis of a cell envelope impinging the intracellular material and compels cells to grow rapidly. In addition, the charged surface of cells enables prolonged intercellular physical interaction and results in spherically shaped microcolonies.", "keywords": ["polyelectrolytes", "0301 basic medicine", "0303 health sciences", "03 medical and health sciences", "layer-by-layer encapsulation", "time-lapse confocal microscopy", " polyelectrolytes", " layer-by-layer encapsulation", " electrostatic interactions", " cell surface modification", "cell surface modification", "Bioengineering and Biotechnology", "electrostatic interactions", "time-lapse confocal microscopy", "TP248.13-248.65", "Biotechnology"]}, "links": [{"href": "https://doi.org/10.3389/fbioe.2019.00378"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Bioengineering%20and%20Biotechnology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fbioe.2019.00378", "name": "item", "description": "10.3389/fbioe.2019.00378", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fbioe.2019.00378"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-04T00:00:00Z"}}, {"id": "10.3390/agronomy11040652", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:21:43Z", "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": "<?xml version='1.0' encoding='UTF-8'?><article><p>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.</p></article>", "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/10.3390/agronomy11040652"}, {"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": "10.3390/agronomy11040652", "name": "item", "description": "10.3390/agronomy11040652", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11040652"}, {"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": "10.5061/dryad.1v87f", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:22Z", "type": "Dataset", "title": "Data from: Post-fire changes in forest carbon storage over a 300-year chronosequence of Pinus contorta-dominated forests", "description": "unspecifiedA warming climate may increase the frequency and severity of  stand-replacing wildfires, reducing carbon (C) storage in forest  ecosystems. Understanding the variability of post-fire C cycling on  heterogeneous landscapes is critical for predicting changes in C storage  with more frequent disturbance. We measured C pools and fluxes for 77  lodgepole pine (Pinus contorta Dougl. ex Loud var. latifolia Engelm.)  stands in and around Yellowstone National Park (YNP) along a 300-year  chronosequence to examine how quickly forest C pools recover after a  stand-replacing fire, their variability through time across a complex  landscape, and the role of stand structure in this variability. Carbon  accumulation after fire was rapid relative to the historical mean fire  interval of 150-300 years, recovering nearly 80% of pre-fire C in 50 years  and 90% within 100 years. Net ecosystem carbon balance (NECB) declined  monotonically from 160 g C m-2 yr-1 at age 12 to 5 g C m 2 yr-1 at age  250, but was never negative after disturbance. Decomposition and  accumulation of dead wood contributed little to NECB relative to live  biomass in this system. Aboveground net primary productivity was  correlated with leaf area for all stands, and the decline in aboveground  net primary productivity with forest age was related to a decline in both  leaf area and growth efficiency. Forest structure was an important driver  of ecosystem C, with ecosystem C, live biomass C, and organic soil C  varying with basal area or tree density in addition to forest age. Rather  than identifying a single chronosequence, we found high variability in  many components of ecosystem C stocks through time; a &gt; 50% random  subsample of the sampled stands was necessary to reliably estimate the  non-linear equation coefficients for ecosystem C. At the spatial scale of  YNP, this variability suggests that landscape C develops via many pathways  over decades and centuries, with prior stand structure, regeneration, and  within-stand disturbance all important. With fire rotation projected to be  &lt; 30 years by mid century in response to a changing climate,  forests in YNP will store substantially less C (at least 4.8 kg C/m2 or  30% less).", "keywords": ["Pinus contorta var. latifolia", "13. Climate action", "Yellowstone", "lodgepole pine", "net ecosystem carbon balance", "15. Life on land", "Carbon"]}, "links": [{"href": "https://doi.org/10.5061/dryad.1v87f"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.1v87f", "name": "item", "description": "10.5061/dryad.1v87f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.1v87f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-12-03T00:00:00Z"}}, {"id": "10.5061/dryad.cz8w9gj78", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:28Z", "type": "Dataset", "title": "Soil microbial relative resource limitation exhibited contrasting seasonal patterns along an elevational gradient in Yulong snow mountain", "description": "unspecified", "keywords": ["2. Zero hunger", "mountain ecosystems", "13. Climate action", "microbial metabolic mechanisms", "microbial relative C limitation", "microbial relative P limitation", "C use efficiency", "FOS: Earth and related environmental sciences", "15. Life on land", "elevations"], "contacts": [{"organization": "Zhang, Dandan, Wu, Baoyun, Li, Jinsheng, Cheng, Xiaoli,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.cz8w9gj78"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.cz8w9gj78", "name": "item", "description": "10.5061/dryad.cz8w9gj78", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.cz8w9gj78"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-02T00:00:00Z"}}, {"id": "10.5194/bg-15-1933-2018", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:22:39Z", "type": "Journal Article", "created": "2017-11-21", "title": "Straw incorporation increases crop yield and soil organic carbon sequestration but varies under different natural conditions and farming practices in China: a system analysis", "description": "<p>Abstract. Loss of soil organic carbon (SOC) from agricultural soils is a key indicator of soil degradation associated with reductions in net primary productivity in crop production systems worldwide. Simple technical and locally appropriate solutions are required for farmers to increase SOC and to improve cropland management. In the last 30 years, straw incorporation has gradually been implemented across China in the context of agricultural intensification and rural livelihood improvement. A meta-analysis of data published before the end of 2016 was undertaken to investigate the effects of straw incorporation on crop production and SOC sequestration. The results of 68 experimental studies throughout China in different edaphic, climate regions and under different farming regimes were analyzed. Compared with straw removal, straw incorporation significantly sequestered SOC (0\uffe2\uff80\uff9320\uffe2\uff80\uff89cm depth) at the rate of 0.35 (range 0.31\uffe2\uff80\uff930.40)\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921, increased crop grain yield by 13.4\uffe2\uff80\uff89% (range 9.3\uffe2\uff80\uff89%\uffe2\uff80\uff9318.4\uffe2\uff80\uff89%) and had a conversion efficiency of the applied straw-C as 16\uffe2\uff80\uff89%\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff892\uffe2\uff80\uff89% across the whole of China. The combined straw incorporation at the rate of 3\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921 with mineral fertilizer of 200\uffe2\uff80\uff93400\uffe2\uff80\uff89kg N\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921 was demonstrated to be the best combination for farmers to use with crop yield increased by 32.7\uffe2\uff80\uff89% (range 17.9\uffe2\uff80\uff89%\uffe2\uff80\uff9356.4\uffe2\uff80\uff89%) and SOC sequestrated by the rate of 0.85 (range 0.54\uffe2\uff80\uff931.15)\uffe2\uff80\uff89Mg C\uffe2\uff80\uff89ha\uffe2\uff88\uff921\uffe2\uff80\uff89yr\uffe2\uff88\uff921. Straw incorporation achieved higher SOC sequestration rate and crop yield increment when applied to clay soils, under high cropping intensities, and in areas like Northeast China where the soil is being degraded. SOC responses were the greatest in the initial starting phase of straw incorporation and then declined and finally were negligible after 28\uffe2\uff80\uff9362 years, however, crop yield responses were initially low and then increased reaching their highest level at 11\uffe2\uff80\uff9315 years after straw incorporation. Overall, our study confirmed that straw incorporation did create a positive feedback loop of SOC enhancement together with increased crop production, and this is of great practical significance to straw management as agricultural intensifies in China and other regions in the world with different climate conditions.                         </p>", "keywords": ["2. Zero hunger", "QE1-996.5", "info:eu-repo/classification/ddc/550", "Ecology", "Life", "QH501-531", "0401 agriculture", " forestry", " and fisheries", "Geology", "04 agricultural and veterinary sciences", "15. Life on land", "QH540-549.5"]}, "links": [{"href": "https://doi.org/10.5194/bg-15-1933-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-15-1933-2018", "name": "item", "description": "10.5194/bg-15-1933-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-15-1933-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-11-21T00:00:00Z"}}, {"id": "10.5281/zenodo.11406309", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:23:12Z", "type": "Dataset", "title": "GIRF Pulse Experiment", "description": "R code for Hastings, Y. D. (2022). Green Infrastructure Microbial Community Response to Simulated Pulse Precipitation Events in the Semi-Arid Western United States (Master's thesis, The University of Utah). This study was supported by a grant from the US National Science Foundation (DEB 2006308).  R code for and Hastings, Y. D., et al. Green Infrastructure Microbial Community Response to Simulated Pulse Precipitation Events in the Semi-Arid Western United States. In review.  Abstract: Nutrient retention in urban stormwater green infrastructure (SGI) of water-limited biomes is not well quantified, especially when stormwater inputs are scarce. We examined the role of plant diversity and physiochemistry as drivers of microbial community physiology and soil N pools and fluxes in bioswales subjected to simulated precipitation and a montane meadow experiencing natural rainfall within a semi-arid region during drought. Precipitation generally elevated soil moisture and pH, stimulated ecoenzyme activity, and increased the concentration of organic matter, proteins, and N pools in both bioswale and meadow soils; but the magnitude of change differed between events. Microbial community growth was static and N assimilation into biomass was limited across precipitation events. Unvegetated SGI plots had greater soil moisture, yet effects of plant diversity treatments on microbial C:N ratios, organic matter content, and N pools were inconsistent. Differences in soil N concentrations in bioswales and the meadow were most directly correlated to changes in organic matter content mediated by ecoenzyme expression and the balance of C, N, and P resources available to microbial communities. Our results add to growing evidence that ecological function of SGI is comparable to neighboring natural vegetated systems, particularly when soil media and water availability are similar.  The file and R code structure is as follows:    Data - Contains all data used for the analysis  Results - Contains all figures, RMANOVA, and Piecewise Structural Equation Modeling results.  renv - R environment used for project  EEA_Vector_Analysis.R - R code used to analyze coenzyme (EEA) responses, including RMANOVA to look for significant differences in EEA response to simulated pulse events and Vector Analysis to determine the nutrient resource acquisition.  Gravimetric_soil_moisture_pH.R - R code used for RMANOVA of gravimetric soil moisture and pH responses to simulated pulse events.  MicrobialBiomass_EEA.Rproj - Downloaded R project  Microbial_biomass.R - R code used for RMANOVA of microbial biomass carbon, nitrogen, and C:N responses to simulated pulse events.  OM_protien_N_pools_fluxes.R - R code used for RMANOVA of organic matter content, proteins, and N pools and fluxes responses to simulated pulse events.  PSEM_final.R - R code used for Pearson Correlation and Piecewise Structural Equation Modeling.  Rclimate.R - R code used to obtain summary statistics of climate data from GIRF and TM climate and soil sensors.", "keywords": ["green infrastructure", "microbial biomass", "ecoenzyme activity", "soils", "nitrogen", "plant diversity", "nature-based solutions", "stoichiometry"], "contacts": [{"organization": "Hastings, Yvette D", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.11406309"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.11406309", "name": "item", "description": "10.5281/zenodo.11406309", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.11406309"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-04T00:00:00Z"}}, {"id": "10.5281/zenodo.14039385", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:23:28Z", "type": "Dataset", "title": "Maps of topsoil (0-30 cm) properties of Tuscany (Italy)", "description": "Open AccessThe internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.  The topsoil (0-30 cm) properties maps are prepared to evaluate soil ecosystem services in SERENA/EJP-Soil and for applying SOC loss Cookbook and SOIL Loss Cookbook. In particular Soil Organic Carbon content map was directly considered as an application of SOC loss Cookbook (DOI: 10.5281/zenodo.13951265\u00a0Version 3).  They are based on Tuscany Region soil database available at Geoscopio (https://www502.regione.toscana.it/geoscopio/pedologia.html) and on point soil data not freely available (Lamma Consortium). More information and requests to:\u00a0info@lamma.toscana.it.  In accordance with the methodology reported in the Soil Organic Carbon Mapping Cookbook (Yigini et al., 2018), the following soil properties were mapped for all Tuscany Region:    soil organic carbon content (dag/kg),  soil organic carbon stock (t/ha),  textural fractions (sand, silt and clay, USDA limits, dag/kg),  rock fragments (vol/vol),  pH in water,  bulk density (g/cm3).   They were obtained through Digital Soil Mapping (DSM) approach, based on correlations with numerous environmental factors and using Random Forest algorithm.  All the maps have a 100 m spatial resolution.", "keywords": ["silt", "bulk density", "pH", "soil organic carbon content", "sand", "clay", "Grant n. 862695", "Digital Soil Mapping", "textural fractions", "Italy", "topsoil properties", "Tuscany", "soil organic carbon stock", "EJP-SOIL", "SERENA Project"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14039385"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14039385", "name": "item", "description": "10.5281/zenodo.14039385", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14039385"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-05T00:00:00Z"}}, {"id": "10.5281/zenodo.14761001", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:23:41Z", "type": "Software", "title": "PyretoClustR (executable version)", "description": "PyretoClustR (executable version)  Distilling the Pareto Optimal Front into Actionable Insights  ##Highlights:    Open-access tool to cluster and visualize complex multi-dimensional Pareto solutions  Bridging the gap between decision and objective space through intuitive visualizations  Implements k-means and k-medoids clustering without expert knowledge  Uses frequency maps to display hotspot locations for spatial optimization problems  Increasing stakeholder accessibility to Pareto solutions   Program languages: Python, RSoftware availability (source code version): https://github.com/SydneyEWhite/Pareto_ClusteringSoftware availability (executable version, with python and libraries implemented): Zenodo (10.5281/zenodo.14761001)  ## Overview    This framework performs k-means and k-medoids clustering on a set of Pareto optimal solutions derived from a multi-objective optimization algorithm.  (Optional) A correlation matrix of the input variables is returned (the goal is to help users reduce the input variable count).  Before clustering occurs, the data is cast onto principal component axes and extreme solutions are handled (if desired).  The code iterates through different possible inputs for the number of clusters, the number of principal components, and the variables that define 'extreme solutions'.  After these iterations, the best solution, as defined by silhouette score, is visualized in several ways:    Representative solutions are plotted on up to 4 dimensions  Distributions of values within the clusters are plotted in a violin plot  (optional) Maps with the frequency of a trait can be plotted, if locational data (*.shp file) is provided     ## Background: executable version  Unlike the version of PyretoClustR available on GitHub (https://github.com/SydneyEWhite/PyretoClustR), this version on Zenodo represents a standalone version of PyretoClustR not requiring a Python installation. The python_files folder contains three executables and one folder called _internal. The executables can be run by clicking on them. The _internal folder is crucial for the standalone operation of the executables and should not be modified or deleted.  ## Example Data  The data provided in the input folder (pareto_and_scen_solutions.csv and the shapefiles) are part of the BiodivERsA project TALE (\u2018Towards multifunctional agricultural landscapes in Europe\u2019). This project optimized four objectives, Agricultural gross margin (AY), Breeding habitat (BH), Low flow (LF), Nitrate load (NL) and four different land use scenarios (SQ, BAU, EXT, INT) were distinguished in the decision space.\u00a0The config.ini has been adapted to run with this dataset. To run it with your own data please alter the respective input values as outlined in config.ini.  ## Directory Structure  project_root/||\u2500\u2500 README.md||\u2500\u2500 input/|\u00a0 |\u2500\u2500 config.ini|\u00a0 |\u2500\u2500 [your_input_data].csv| \u2514\u2500\u2500 [shape_files]||\u2500\u2500 python_files/|\u00a0 |\u2500\u2500 _internal|\u00a0 |\u2500\u2500 correlation_matrix.exe|\u00a0 |\u2500\u2500 kmeans.exe| \u2514\u2500\u2500 kmedoid.exe||\u2500\u2500 r_files/| \u2514\u2500\u2500 plot_frequency_maps.R|\u2514\u2500\u2500 output/ (populated once code is run)\u00a0\u00a0 |\u2500\u2500 correlation_matrix.csv (if run)\u00a0\u00a0 |\u2500\u2500 kmeans_data_w_clusters_representativesolutions.csv (created with kmeans.exe when Extreme Solutions are not handled)\u00a0\u00a0\u00a0 |\u2500\u2500 kmeans_data_w_clusters_representativesolutions_outliers.csv (created with kmeans.exe when Extreme Solutions are handled)\u00a0\u00a0 |\u2500\u2500 kmedoid_data_w_clusters_representativesolutions.csv (created with kmedoid.exe when Extreme Solutions are not handled)\u00a0\u00a0 |\u2500\u2500 kmedoid_data_w_clusters_representativesolutions_outliers.csv (created with kmedoid.exe when Extreme Solutions are handled)\u00a0 \u2514\u2500\u2500 freq_map_cluster_X.png (if run)", "keywords": ["Multi-objective optimization", "Pareto pruning", "Land management", "Pareto optimal data", "visualization", "clustering"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14761001"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14761001", "name": "item", "description": "10.5281/zenodo.14761001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14761001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-29T00:00:00Z"}}, {"id": "10.5281/zenodo.15096788", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:23:51Z", "type": "Dataset", "title": "HWSD2_Climate_and_Socioeconomic_agriculturalsoil_dataset_mainland_portugal", "description": "The study uses the Harmonized World Soil Database (HWSD v2.0) developed by FAO and IIASA for biophysical models and agroecological queries. This database consolidates information from various sources, including the European Soil Database, the 1:1 million soil map of China, and national soil maps from Afghanistan, Ghana, and T\u00fcrkiye. It has a spatial resolution of around 1 km and is revised in 2013 and 2023. HWSD v2.0 includes detailed information on soil mapping units, general soil unit information, and specific physical and chemical soil unit characteristics across seven depth layers.  The database fields cover a wide range of attributes, such as soil texture, bulk density, organic carbon content, pH, and cation exchange capacity. The harmonization process ensures that data from different sources is standardized and integrated, providing a consistent and reliable dataset for various applications. However, the HWSD v2.0 has some limitations, such as combining soil inventories gathered at different times, scales, and precision, which may affect its reliability for national studies. It is recommended to use national-level harmonized soil databases for more accurate results in specific regions.  For Portugal's mainland, the data presented in the HWSD v2.0 dataset is sourced from the European Soil Data Centre (ESDAC), which contains various metrics of chemical and physical soil properties. Out of the 2882 Portuguese parishes, only 22 are left out, representing 0.76% percent of the total number of parishes.  The study uses several datasets to analyze land use and occupation in Portugal. The Land Use and Occupation Map (COS2007v3.0) is a detailed thematic map of land use and occupation for mainland Portugal, developed by the Directorate-General for Territory (DGT). The data is organized hierarchically and includes 83 classes of land use and occupation. The CHELSA database, maintained by the Swiss Federal Institute for Forest, Snow, and Landscape Research (WSL), provides bioclimatic indexes for precipitation and average temperature over various temporal intervals and variables.  The National Institute of Statistics (INE) provides data on agricultural machinery distribution across different geographical locations. The dataset covers the total number of agricultural machines, as well as specific categories such as wheeled and tracked tractors, motor cultivators, power hoes, motor mowers, and combine harvesters. The dataset also examines the distribution of farms with access to irrigation based on geographical location.  The burned land data from 1975 to 2023 provides a comprehensive overview of fire occurrences and their impact over time. This data is crucial for understanding long-term patterns, assessing the effectiveness of fire prevention measures, and informing future land management and policy decisions.  Lastly, the population density dataset from the 2021 Census and the 2011 Census provides a decennial comparison of total population density across different geographical regions. These data are essential for understanding the evolution of land use and occupation in Portugal and their implications for environmental and agricultural consequences.", "keywords": ["Soil", "Total organic carbon", "Land use", "Soil use", "Atmospheric precipitation", "Soil type", "Organic carbon", "Land surface temperature"], "contacts": [{"organization": "Almeida Santos, R. G. F.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15096788"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15096788", "name": "item", "description": "10.5281/zenodo.15096788", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15096788"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-27T00:00:00Z"}}, {"id": "10.5281/zenodo.15328215", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:23:55Z", "type": "Dataset", "title": "1000 Soils Pilot Dataset, version 8, May 2025", "description": "This record hosts data generated by the 1000 Soils Pilot. Data will be updated as more become available. Please see the most recent data upload for current data.  A beta visualization tool is available for some data types at\u00a0https://shinyproxy.emsl.pnnl.gov/app/1000soils. Please submit any suggestions or comments through the 'contact' tab. We are actively working to improve visualizations and value all feedback.  Data completed include:    Geochemistry, texture, respiration, and enzyme activities  FTICR-MS organic matter chemistry  Microbial biomass C and N  TOC/TDN of water-extractable OM  X-ray computed tomography (derived metrics available here, raw data available upon request)  Metagenomes; a variety of data formats are available upon request  Soil hydraulic properties   Data in progress:    LC-MS/MS in development, timeline TBD, inquire for status   1000S_processed_BGC_summary.csv contains all available biogeochemical data; microbial biomass C and N; and TOC/TDN of water-extractable OM; and\u00a0  1000S_Tomography.xslx contains a summary of data generated via X-ray computed tomography.  icr_v2_corems2.csv contains FTICR-MS data processed by CoreMS version 2. These data are merged by formula across instrument runs to enable cross-sample comparisons. Technical replicates are merged by retaining peaks present in 2 out of 3 replicates.  1000Soils_Metadata_Site_Mastersheet_v1.csv contains site information.  Soil Hydraulics_corrected_02042025.xlsx contains soil hydraulics information.  Readme File_v4.xlsx is the readme file.  Please contact the MONet project (monet.emsl@pnnl.gov) or Emily Graham (emily.graham@pnnl.gov) with questions.  The following file and all raw data are\u00a0available upon request:  icr_by_mass_for_single_sample_analysis_only.csv\u00a0contains FTICR-MS data processed by CoreMS and is intended for usage in the calculation of biochemical transformations within samples only. These data are not acceptable for cross-sample comparison of masses because they are from multiple instrument runs.  For more information, please see: https://www.emsl.pnnl.gov/monet and https://sc-data.emsl.pnnl.gov/monet  Acknowledgment:\u00a0  Soil data were provided by the Molecular Observation Network (MONet) at the Environmental Molecular Sciences Laboratory (https://ror.org/04rc0xn13), a DOE Office of Science user facility sponsored by the Biological and Environmental Research program under Contract No. DE-AC05-76RL01830. The work (proposal: 10.46936/10.25585/60008970) conducted by the U.S. Department of Energy, Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science user facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.\u00a0  The Molecular Observation Network (MONet) database is an open, FAIR, and publicly available compilation of the molecular and microstructural properties of soil. Data in the MONet open science database can be found at\u00a0https://sc-data.emsl.pnnl.gov/.", "keywords": ["2. Zero hunger", "decomposition", "13. Climate action", "FTICR-MS", "biogeochemistry", "carbon", "molecular", "15. Life on land", "6. Clean water", "soil"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15328215"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15328215", "name": "item", "description": "10.5281/zenodo.15328215", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15328215"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-02T00:00:00Z"}}, {"id": "10.5281/zenodo.15680931", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:04Z", "type": "Journal Article", "created": "2025-06-15", "title": "Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments", "description": "Abstract                        Background             <p>Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill leachate, surface runoff, and atmospheric deposition. The primary objectives are to assess the extent of PFAS contamination, identify key emission sources and transport pathways, and evaluate associated risks in terms of the potential exceedance of current and proposed environmental regulatory thresholds in the European Union.</p>                                   Results             <p>The findings reveal a widespread presence of PFAS, with PFOA, PFOS and short-chain compounds being predominant. The Alz River and Gendorf chemical park emerge as hotspots with far-reaching effects downstream, contributing significantly to diffuse legacy contamination of PFOA and being a significant source of two industrial PFOA substitutes, ADONA and GenX. Wastewater treatment plants, old municipal landfills, and sites with a history of fire-fighting foam application are identified as key pathways or sources of legacy pollution, exhibiting higher concentrations compared to the other matrices. Notably, no significant removal is observed when comparing influent and effluent samples from conventional WWTPs. The study further demonstrates that groundwater is vulnerable to contamination from point sources and to infiltration from rivers, with bank filtration proving largely ineffective in preventing PFAS contamination.</p>                                   Conclusions             <p>The study underscores the necessity for source and pathway control measures to mitigate PFAS pollution, the implementation of advanced treatment technologies to safeguard drinking water and surface water quality, and targeted remediation for legacy soil and groundwater contamination. Additionally, strong use regulations should be explored to minimize ongoing emissions. The multi-compartment monitoring proves to be a crucial approach to understand the complexity of PFAS distribution at the catchment scale. Comparative analysis and risk assessment highlight challenging situations for water management, offering an indispensable basis for emission modeling as a next step for quantitative assessment of the relevance of different sources and pathways for surface water pollution.</p>", "keywords": ["Emerging contaminants", "Emerging Pollutants", "PFAS", "Source identification", "Watershed management", "Environmental sciences", "Emission", "Water Framework Directive", "Environmental law", "Water pollution", "GE1-350", "K3581-3598", "Catchment monitoring", "Environmental Monitoring"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1186/s12302-025-01141-6.pdf"}, {"href": "https://doi.org/10.5281/zenodo.15680931"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15680931", "name": "item", "description": "10.5281/zenodo.15680931", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15680931"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-15T00:00:00Z"}}, {"id": "10.5281/zenodo.15772619", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:06Z", "type": "Dataset", "title": "Dataset to: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Near-Infrared (NIR) Austrian Soil Spectral Library (ASSL, 680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL \u2018Towards climate-smart sustainable management of agricultural soils\u2019 (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Foundation for an Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "Spectroscopy", " Near-Infrared", "data"], "contacts": [{"organization": "Fohrafellner, Julia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15772619"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15772619", "name": "item", "description": "10.5281/zenodo.15772619", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15772619"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-07T00:00:00Z"}}, {"id": "10.5281/zenodo.15781488", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:24:06Z", "type": "Report", "title": "Results of stakeholder surveys on preferred NSWRM implementation plans. Deliverable D5.3 of the EU Horizon 2020 project OPTAIN.", "description": "Deliverable report D5.3 of the EU Horizon 2020 Project OPTAIN (Grant agreement No. 862756)    The objective of this deliverable is to convey OPTAIN\u2019s optimisation approach, methodologies and results to stakeholders of each case study\u2019s Multi-Actor Reference Groups. More importantly, it will create a common understanding of the potential of the NSWRMs for improving water and nutrient retention in the CS, as well as of the associated trade-offs such as costs and potential reductions in crop production. Finally, this task will determine those NSWRM implementation plans preferred by individual actors using the tool, ParetoPick-R, developed in the previous task 5.3. This sets the stage for the subsequent in-depth, cross-sectoral discussion about a spatially targeted implementation of NSWRM.    Summary\u00a0  This deliverable from the EU Horizon 2020 OPTAIN project presents the results from stakeholder interviews across eleven European case studies, focusing on the identification of preferred implementation plans for Natural/Small Water Retention Measures (NSWRMs).\u00a0It builds on the modelling and multi-objective optimisation workflows employed in OPTAIN, which explored numerous options for potential measure implementation optimised for environmental and economic objectives.  Stakeholders of each case study\u2019s Multi-Actor Reference Groups (MARG) participated in structured interviews. Using the interactive ParetoPick-R app, they developed a common understanding of the potential of NSWRMs and explored trade-offs among four optimisation objectives, such as water/nutrient retention, crop production, and cost. They then selected their preferred implementation plans based on weights assigned to each objective and filter options applied to the solution space.  Key Findings:    Trade-offs & preferences: Stakeholders' preferences varied significantly across sectors and case studies. Agricultural actors typically prioritised crop production and cost-efficiency, while those in the water and nature conservation sectors leaned towards environmental benefits.  Common measures: Frequently preferred NSWRMs included soil and/or crop management measures, followed by greening measures and engineered solutions.  Feasibility issues: Technical feasibility, land ownership, and institutional hurdles (e.g., need for permits) influenced stakeholder choices.  Tool feedback: The ParetoPick-R tool was generally well-received for visualising trade-offs and supporting decision-making. However, some users found it too complex and suggested improvements in usability, guidance, and map functionality.   This deliverable D5.3 sets the foundation for the final MARG workshops in the case studies, which will seek to negotiate compromise solutions that are acceptable to all actors. The report underscores the importance of participatory modelling tools and multi-sector engagement in water and land management planning.", "keywords": ["multiobjective optimisation", "trade-offs", "NSWRM", "agricultural production", "H2020", "OPTAIN", "SWAT", "NWRM", "stakeholder", "water retention"], "contacts": [{"organization": "Strauch, Michael, Wittekind, Cordula,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15781488"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15781488", "name": "item", "description": "10.5281/zenodo.15781488", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15781488"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-01T00:00:00Z"}}, {"id": "10.5281/zenodo.15797289", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:07Z", "type": "Dataset", "title": "Database of soil characteristics under specific pesticide management", "description": "Database of soil characteristics under specific pesticide management  Contributors: Mark\u00e9ta Mayerov\u00e1 and Veronika \u0158ez\u00e1\u010dov\u00e1  Affiliation: Czech Agrifood Research Center, Drnovsk\u00e1 507/73, CZ-160 00 Prague 6, Czech Republic  Database of soil characteristics will contribute to the realization of the project\u00b4s goal to identify appropriate and inappropriate pesticides from the point of the view of their impact on the non-target organisms and soil characteristics.  Field I.  The field experiment was established in 2024 in the experimental area of the Czech Agrifood Research Center in Prague \u2013 Ruzyn\u011b (previously Crop Research Institute). The experiment took place at the site of the experiment that had been running there since 2013 and included 5 different herbicide treatments in 4 replications (Mayerov\u00e1 et al. 2018)  The new trial area was split into 20 randomised plots with 2 different herbicide treatments in 8 replications and control without herbicides in 4 replications. Herbicide treatments differed in the mode of action (Table 1)  Table 1. Summary of the herbicides and active ingredients used in the trial. Classification Group by Herbicide Resistance Action Committee (HRAC).       herbicide     dose    formulation    active ingredient    content of a.i.    HRAC group    target weeds      Agritox 50 SL    1.5 l/ha    EC    MCPA    500 g/l    O    dicot      Glean 75 PX    15 g/ha    WG    chlorsulfuron    750 g/l    B    dicot + annual grasses       \u00a0  The area of each plot was 100 m2 and the 10 by 10 m plots were separated from field boundaries and from each other by 2 m on all sides to eliminate interaction between plots. Herbicides were applied post emergency in spring (April 26, 2024) from the tillering crop stage to the beginning of stem elongation (BBCH 21\u201331) by the Agrio-Napa 12 sprayer. Winter wheat was grown in the experimental field in 2024. At the beginning of March, it was mineral fertilized with LAD (ammonium nitrate with dolomite - NH4NO3\u00a0+\u00a0CaMg (CO3)2; 27 % N) at a dose 100 kg/ha.   Mixed disturbed soil samples for microbiological and physicochemical analyses were taken from the 0-15cm upper soil layer in each replication before herbicide application (April 24, 2024), 14 days after herbicide application (May 9, 2024) and 7 weeks after herbicide application (June 14, 2024). \u00a0A total of 20 soil samples were collected at each sampling. The soil samples were subsequently dried and sieved through a 2 mm sieve, thus simultaneously homogenised. The following soil properties were determined: pH (H2O), electric conductivity, available P and K, concentration NH4 and NO3, soil organic carbon, and total organic nitrogen content. Available P and K were assessed according to the Mehlich III method (Mehlich, 1984) on an Agilant ICP-OES 5110 VDV instrument. NO3 and NH4 were determined using calcium chloride solution as extractant according to ISO 14255:1998 on automated chemistry analyser SKALAR. Soil organic carbon and soil organic matter content were determined by sulfochromic oxidation according to ISO 14235:1998.   Field II  The field experiment was established in 2024 in the experimental area of the Czech Agrifood Research Center in Prague \u2013 Ruzyn\u011b (previously Crop Research Institute). The total area of the experiment is about 11 ha including the protective area around the entire experiment. The experimental area is divided into two halves, 120m wide and 300m long.\u00a0 One half was treated on June 17, 2024, with insecticide Decis forte (active ingredient deltamethrin) at a dose 62.5ml/ha, the other half was without insecticide treatment. Both areas are further divided into other halves. One half was treated on May 15, 2024, with herbicide Agritox (active ingredient MCPA) at a dose 1.5l/ha, the other was treated with hoeing only. We thus obtained 4 strips 60m wide with following treatment combinations: (A) herbicide + insecticide; (B) hoeing + insecticide; (C) hoeing; (D) herbicide. Spring wheat was grown in the experimental field in 2024. It was fertilized with mineral nitrogen at a dose of 150 kg N/ha before sowing and with 39 kg N/ha (DAM 390 - ammonium nitrate with urea) in the tillering phenophase.  In the middle of each strip (i.e. treatment), 8 sampling sites were marked in a row, 20 m apart from each other. Mixed disturbed soil samples for microbiological and physicochemical analyses were taken from the 0-15cm upper soil layer at each sampling site 14 days after herbicide application and 14 days after insecticide application. A total of 32 soil samples were collected at each sampling. Further sample processing was the same as for Field I.  The database will be gradually supplemented in the following years.   Funding: Development for this work is funded primarily by the Technology Agency of the Czech Republic, project SS07020100: \u201cThe impact of plant protection products on non-target biodiversity: soil microorganisms, invertebrates and wild plants\u201d, and the Ministry of Agriculture of the Czech Republic, institutional support MZE-RO0425.  The database was approved on September 2, 2025, by the Ministry of Agriculture of the Czech Republic.  References:  Mayerov\u00e1 M., Mikulka J., Soukup J. (2018): Effects of selective herbicide treatment on weed community in cereal crop rotation. Plant Soil Environ., 64: 413\u2013420. https://doi.org/10.17221/289/2018-PSE  \u00a0Mehlich A. (1984): Mehlich 3 Soil Test Extractant. A Modification of the Mehlich 2 Extractant. Commun. Soil Sci. Plant Anal. 15, 1409-1416. http://dx.doi.org/10.1080/00103628409367568.", "keywords": ["field trial", " herbicides", " insecticides", " soil properties"], "contacts": [{"organization": "Mayerov\u00e1, Mark\u00e9ta, \u0158ez\u00e1\u010dov\u00e1, Veronika,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15797289"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15797289", "name": "item", "description": "10.5281/zenodo.15797289", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15797289"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-03T00:00:00Z"}}, {"id": "10.5281/zenodo.16017208", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:08Z", "type": "Dataset", "title": "Cashew orchard soil properties, Dodamarg, Northern Western Ghats, India", "description": "Soil properties of cashew orchards of the Northern Western Ghats, India  This project contains chemical properties of soil collected from cashew orchards of Dodamarg, Northern Western Ghats, for a study investigating the factors influencing the effects of forest cover, flower abundance, temperature and (potentially) soil composition on cashew pollinators.  Taxonomic Coverage:\u00a0Not applicable  Geographic Coverage: Dodamarg, Sindhudurg District, Maharashtra, India  Temporal Coverage: March 2025  \u00a0  Description of field and lab methods  Soil collection: Soil samples were collected from 30 cashew orchards, using soil core sampler. The diameter of the core sampler was measured before soil collection. All soil samples were collected from 10 cm depth after removing all the leaf litter from the ground. From each orchard, 10 soil columns were collected for analysis of chemical properties.  Chemical Properties: We estimated thirteen soil chemical properties for all soil samples collected. The following parameters were analyzed by Zuari Farmhubs Laboratory: pH, electrical conductivity (E.C.) at 25\u00b0C, organic carbon (O.C.), available phosphorus (P\u2082O\u2085), available potassium (K\u2082O), available calcium (Ca), magnesium (Mg), sulfur (S), boron (B), zinc (Zn), iron (Fe), copper (Cu), and manganese (Mn).  More details about the data can be obtained from Aditya Satish (adityasatish@ncf-india.org) and Rohit Naniwadekar (rohit@ncf-india.org) from the Nature Conservation Foundation (www.ncf-india.org).  File Descriptions:  Data file: Dodamarg_2025_Cashew_Soil_Properties.csv  We have also included a ReadMe.txt file that explains the data file, akin to the description in the metadata.  Description of the columns of the data file:    Sl no: Serial number  Site: Site ID  Code: Site code (General location)  Latitude: latitude co-ordinate of the plot (in decimal degrees, \u00b0N)  Longitude: longitude co-ordinate of the plot (in decimal degrees, \u00b0E)  pH: pH of the soil  E.C.: Electrical Conductivity at 25\u00b0C (in dS/m)  O.C.: Organic Carbon (in %)  P\u2082O\u2085: Available P\u2082O\u2085 (in Kg /acre)  K\u2082O: Available Potassium (in Kg /acre)  Ca: Available Calcium (in mg/Kg)  Mg: Available Magnesium (in mg/Kg)  S: Available Sulphur (in mg/Kg)  B: Available Boron (in mg/Kg)  Zn: Available Zinc (in mg/Kg)  Fe: Available Iron (in mg/Kg)  Cu: Available Copper (in mg/Kg)  Mn: Available Manganese (in mg/Kg)   Funding:\u00a0  Godrej Consumer Products Limited  Arvind Datar  Rohini Nilekani Philanthropies", "keywords": ["Soil chemical properties", "Cashew orchards", "Ecology", "FOS: Biological sciences", "Northern Western Ghats"], "contacts": [{"organization": "Sadekar, Vishal, Satish, Aditya, Naniwadekar, Rohit,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16017208"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16017208", "name": "item", "description": "10.5281/zenodo.16017208", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16017208"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-17T00:00:00Z"}}, {"id": "10.5281/zenodo.16261617", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:08Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia, Lippl, Maximilian, Bajraktarevic, Armin, Baumgarten, Andreas, Spiegel, Heide, K\u00f6rner, Robert, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16261617"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16261617", "name": "item", "description": "10.5281/zenodo.16261617", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16261617"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-21T00:00:00Z"}}, {"id": "10.5281/zenodo.17941270", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:17Z", "type": "Dataset", "title": "Dataset to: Austrian NIR Soil Spectral Library for Soil Health Assessments", "description": "Dataset description  This is the corresponding dataset to the publication 'Austrian NIR Soil Spectral Library for Soil Health Assessments' by Fohrafellner et al. (2025). In this publication, we created the first Austrian Near-Infrared (NIR) Soil Spectral Library (680 \u2013 2500 nm) using 2,129 legacy samples from all environmental zones of Austria. Additionally, we utilized partial least squares regression modeling to evaluate the dataset's current effectiveness for soil health assessments. The dataset contains three tabs, 'Document meta data', 'Legend' and 'Dataset'. Tab 'Document meta data' gives information on the authors, the data collection time frame, terms of use, etc. In 'Legend', each column of the 'Dataset' is described. The 'Dataset' contains information on the legacy soil samples including:\u00a0    meta data (e.g. sample number, sampling year, zip code, environmental zone, land use),   soil properties (soil organic carbon [SOC], SOC to clay ratio, total carbon, labile carbon, CaCO3, total nitrogen, plant available phosphorus, pH measured in CaCl2 and acetate, cation exchange capacity, texture [sand, silt, clay content], and clay content measured by density in suspension), and  measured NIR soil spectra, also for the standards.   Project description  This Austrian NIR Soil Spectral Library was built within the ProbeField project (November 2021 \u2013 January 2025), which was part of the European Joint Program for SOIL 'Towards climate-smart sustainable management of agricultural soils' (EJP SOIL) funded by the European Union Horizon 2020 research and innovation programme (Grant Agreement N\u00b0 862695). The project aimed to create a protocol detailing procedures and methodologies for accurately estimating fertility-related properties in agricultural soils in the field. Additionally, the potential for extending this data to two- and three-dimensional mapping using co-variates was demonstrated. ProbeField further collected field spectra that closely match laboratory spectra, enabling the prediction of soil properties using models calibrated with soil spectral libraries.  References  Fohrafellner, J., Lippl, M., Bajraktarevic, A., Baumgarten, A., Spiegel, H., K\u00f6rner, R. and Sand\u00e9n, T.: Austrian NIR Soil Spectral Library for Soil Health Assessments, 2025, in review.", "keywords": ["EJP SOIL", "ProbeField", "spectroscopy", "data", "near-infrared"], "contacts": [{"organization": "Fohrafellner, Julia, Lippl, Maximilian, Bajraktarevic, Armin, Baumgarten, Andreas, Spiegel, Heide, K\u00f6rner, Robert, Sand\u00e9n, Taru,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.17941270"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.17941270", "name": "item", "description": "10.5281/zenodo.17941270", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.17941270"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-21T00:00:00Z"}}, {"id": "10.5281/zenodo.4487144", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-07-27T16:24:26Z", "type": "Dataset", "title": "Eddy Covariance data from ICOS-associated station IT-NIV \u2013 August-November 2019", "description": "RestrictedData stored here refer to Eddy Covariance (EC) data measured in 2019 between August and November at the Alpine CZO (Critical Zone Observatory, hereafter CZO@Nivolet) which was established at the Nivolet Plain (Piani del Nivolet) in the Gran Paradiso National Park (GPNP), located in the western Italian Alps. The EC site (IT-NIV) is an ICOS-associated station. CZO@Nivolet is aimed at investigating the cross-scale interactions between climatic shifts and ecosystem functions multiple scales, involving multidisciplinary studies. The main research questions that we aim to answer are concerning: (a) the effect of bedrock lithology, soil physics and chemisty, topographic hetereogenity, biotic components and meteo-climatic parameters in modulating CO<sub>2</sub> flux in alpine grassland; and (b) what are the controlling factors of organic C and weathering under geologic substrates and different topographic positions. The investigations started in 2017. In 2019, the EC tower was added to deeply study CO<sub>2</sub>, H<sub>2</sub>0, latent and sensible heat exchanges between soil, vegetation, and atmosphere. Carbon dioxide fluxes and environmental variables are recorded during the snow-free season to estimate carbon storage and explore CO<sub>2</sub> fluxes drivers in high-altitude grasslands. Further developments will regard the integration of different techniques (Eddy Covariance, Remote Sensing, Flux chambers) to improve both spatial and temporal extent of carbon fluxes estimates to finally assess grasslands' productivity.", "keywords": ["13. Climate action", "alpine grassland", "15. Life on land", "Gran Paradiso National Park", "Mountain", "EO_Data", "Eddy Covariance", "Net Ecosystem Exchange", "ecosystem-atmosphere carbon exchange"], "contacts": [{"organization": "Vivaldo, Gianna, Raco, Brunella, Baneschi, Ilaria, Giamberini, Maria Silvia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4487144"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4487144", "name": "item", "description": "10.5281/zenodo.4487144", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4487144"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-20T00:00:00Z"}}, {"id": "10.5281/zenodo.4655380", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:24:27Z", "type": "Journal Article", "created": "2021-03-29", "title": "pH-Responsive Release of Ruthenium Metallotherapeutics from Mesoporous Silica-Based Nanocarriers.", "description": "<p>Ruthenium complexes are attracting interest in cancer treatment due to their potent cytotoxic activity. However, as their high toxicity may also affect healthy tissues, efficient and selective drug delivery systems to tumour tissues are needed. Our study focuses on the construction of such drug delivery systems for the delivery of cytotoxic Ru(II) complexes upon exposure to a weakly acidic environment of tumours. As nanocarriers, mesoporous silica nanoparticles (MSN) are utilized, whose surface is functionalized with two types of ligands, (2-thienylmethyl)hydrazine hydrochloride (H1) and (5,6-dimethylthieno[2,3-d]pyrimidin-4-yl)hydrazine (H2), which were attached to MSN through a pH-responsive hydrazone linkage. Further coordination to ruthenium(II) center yielded two types of nanomaterials MSN-H1[Ru] and MSN-H2[Ru]. Spectrophotometric measurements of the drug release kinetics at different pH (5.0, 6.0 and 7.4) confirm the enhanced release of Ru(II) complexes at lower pH values, which is further supported by inductively coupled plasma optical emission spectrometry (ICP-OES) measurements. Furthermore, the cytotoxicity effect of the released metallotherapeutics is evaluated in vitro on metastatic B16F1 melanoma cells and enhanced cancer cell-killing efficacy is demonstrated upon exposure of the nanomaterials to weakly acidic conditions. The obtained results showcase the promising capabilities of the designed MSN nanocarriers for the pH-responsive delivery of metallotherapeutics and targeted treatment of cancer.</p>", "keywords": ["Ruthenium-based anti-cancer drugs", "ruthenium-based anticancer drugs", "PH-responsive drug delivery", "Mesoporous silica nanoparticles", "pH-responsive drug delivery", "02 engineering and technology", "controlled drug delivery", "01 natural sciences", "Article", "cancer treatment", "ddc:", "3. Good health", "0104 chemical sciences", "RS1-441", "Pharmacy and materia medica", "Cancer treatment", "mesoporous silica nanoparticles", "0210 nano-technology", "Controlled drug delivery"]}, "links": [{"href": "http://www.mdpi.com/1999-4923/13/4/460/pdf"}, {"href": "https://www.mdpi.com/1999-4923/13/4/460/pdf"}, {"href": "https://doi.org/10.5281/zenodo.4655380"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Pharmaceutics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4655380", "name": "item", "description": "10.5281/zenodo.4655380", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4655380"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-28T00:00:00Z"}}, {"id": "10.5281/zenodo.5574882", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:29Z", "type": "Report", "created": "2020-03-09", "title": "Hyperspectral imaging for high resolution mapping of soil profile organic carbon distribution in an Austrian Alpine landscape", "description": "<p>         &amp;lt;p&amp;gt;Studies on soil organic carbon (SOC) stocks mostly focus on topsoils (&amp;lt; 30 cm). However, 30 to 63% of the SOC are stored in the subsoils (30 to 100 cm), and the factors controlling SOC storage in subsoils may be substantially different than in topsoils. The low mean SOC content in subsoils makes its quantification and characterization challenging. Thus, new approaches are required to depict the SOC stocks distribution in full soil profile. Hyperspectral imaging of soil core samples can provide high spatial resolution of the vertical distribution of SOC in a soil profile. The main objective of the ongoing study, within the Horizon 2020 European Project Circular Agronomics, is to apply laboratory hyperspectral imaging with a variety of machine learning approaches for the mapping of OC distribution in undisturbed soil cores. Soil cores were collected down to a depth of one meter in grasslands of 15 organic farms located in the Lungau Valley, in Austria. Some samples were divided into five depths in the field for classical bulk soil measurements (total carbon and nitrogen, texture, pH, EC and bulk density) on disturbed samples. Undisturbed soil cores were sliced vertically for laboratory hyperspectral imaging in the range of Vis-NIR (400-1000 nm). We were able to reveal the hotspots of OC and map the OC distribution in soil profile by applying a variety of machine learning approaches (i.e. partial least square and random forest regression) as a function of spectral responses. A digital elevation model was further exploited to investigate the effects of topographical factors such as elevation, aspect and slope on SOC profile distribution. Landsat 8 data were also used to depict the spatial variability of land insensitive cover/vegetation in study area.&amp;lt;/p&amp;gt;         </p>", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Vis-NIR imaging spectroscopy", " Alpine grassland", " Digital elevation model", " Subsoils"], "contacts": [{"organization": "YASER OSTOVARI, K\u00f6ppend\u00f6rfer, Baptist, Guigue, Julien, Van Groenigen, Jan Willem, Creamer, Rachel, Guggenberger, Thomas, Grassauer, Florian, Hobley, Eleanor, Ferron, Laura, Martens, Henk, K\u00f6gel-Knabner, Ingrid, Vidal, Alix,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5574882"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5574882", "name": "item", "description": "10.5281/zenodo.5574882", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5574882"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-23T00:00:00Z"}}, {"id": "10.5281/zenodo.6202061", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:24:31Z", "type": "Dataset", "title": "Bias-corrected EURO-CORDEX RCM simulations for the OPTAIN case studies", "description": "Open AccessBias-corrected EURO-CORDEX RCM simulations are available on a daily timescale for: -period 1981-2099/2100, -6 RCM, -3 scenarios (RCPs 2.6, 4.5 and 8.5), -7 variables (mean, minimum and maximum temperature, precipitation, solar radiation, wind speed at 2 m and relative humidity) and -18 domains and 23 locations within these domains. Bias correction and further downscaling to 0.1\ufffd\ufffd was done using ERA5-Land reanalysis data with non-parametric empirical quantile mapping. Moreover, the interpolation of gridded bias-corrected climate model simulations to the locations was made using universal kriging. <strong>Organization of the data</strong> The name of the files are <em>domain</em>-<em>type</em>.zip, where <em>type</em> is gridded (NetCDF) or point (csv). Each zip file contains multiple files, organized in subfolders: <em>experiment</em>/<em>modelNumber</em>/<em>variable</em>.nc for gridded and <em>experiment</em>/<em>modelNumber</em>/<em>variable-pilotFieldNumber</em>.txt for point data, where <em>experiment </em>is rcp26, rcp45 or rcp85. <em>domain and pilotFieldNumber</em> <strong>domain</strong> <strong>domain </strong><strong>location (min and max. Longitude, min and max latitude</strong><strong>)</strong> <strong>pilotFieldNumber</strong> <strong>pilot field </strong><strong>location (longitude, latitude)</strong> <strong>case study</strong><strong> number</strong> <strong>country</strong> <strong>Name (OPTAIN case study)</strong> 01 50.95 51.45 14.55 15.05 1 DEU Schoeps 02 46.35 47.05 6.55 7.15 2 46.816667 6.95 2 CHE Petite Glane 02_1 46.75 47.25 7.25 7.75 1 46.983333 7.466667 02_34 47.35 47.85 8.35 3 4 47.433333 8.516667 47.683333 8.616667 02_5 46.15 46.65 5.95 6.45 5 46.4 6.233333 03a 46.65 47.15 17.45 17.95 1 2 3 4 46.92649 17.68246 46.9166 17.68976 46.91283 17.69754 46.91283 17.69723 3a HUN Csorsza 03b 46.45 46.95 16.65 17.15 3b HUN Felso Valicka 04 52.35 52.85 18.45 18.95 1 52.597469 18.728617 4 POL Upper Zglowiaczka 05 46.35 46.85 15.35 15.85 5 SVN Pesnica 06 46.45 46.95 16.15 16.65 6 HUN/SVN Kebele/Kobiljski 07 49.85 50.35 4.75 5.25 7 BEL La Wimbe 08 55.15 55.75 23.55 24.05 1 2 55.522057 23.799235 55.42233194 23.82580339 8 LTU Dotnuvele 09 45.45 45.95 9.65 10.15 9 ITA Cherio 10 59.45 59.95 10.75 11.25 1 2 3 4 5 6 7 8 59.71949 10.83576 59.6833306 10.8833298 59.6833306 10.8833298 59.665 10.9475 59.665 10.9475 59.841012 10.903597 59.757631 11.072031 59.539623 10.856447 10 NOR Krogstad 11 46.45 46.95 17.55 18.05 1 2 46.658333 17.75583 46.656944 17.75833 11 HUN Tetves 12 49.35 49.85 14.75 15.25 1 49.616837 15.078266 12 CZE Cechticky 13 55.85 56.35 25.85 26.45 13 LVA Dviete 14 59.75 60.25 17.55 18.05 14 SWE Ingvastaan Lehstaan <em>modelNumber</em> <strong>modelNumber</strong> <strong>Driving Model (GCM)</strong> <strong>Ensemble</strong> <strong>RCM </strong> <strong>End date</strong> 1 EC-EARTH r12i1p1 CCLM4-8-17 31.12.2100 2 EC-EARTH r3i1p1 HIRHAM5 31.12.2100 3 HadGEM2-ES r1i1p1 HIRHAM5 30.12.2099 4 HadGEM2-ES r1i1p1 RACMO22E 30.12.2099 5 HadGEM2-ES r1i1p1 RCA4 30.12.2099 6 MPI-ESM-LR r2i1p1 REMO2009 31.12.2100 <em>variable</em> <strong>variable</strong> <strong>description</strong> <strong>Unit</strong> Tmean Mean temperature \ufffd\ufffdC Tmin Min temperature \ufffd\ufffdC Tmax Max temperature \ufffd\ufffdC prec Precipitation mm solarRad Solar radiation MJ/m2 windSpeed Wind speed at 2m m/s relHum Relative humidity % <strong>Methodolody</strong> Bias correction was done using non-parametric empirical quantile mapping with modified method from R package qmap. Parameters selected were: corrections for each day of the year using a moving windows for a 31 days; 100 quantiles; wet days corrections for precipitation. The reference period is 1981-2010. The interpolation of gridded bias-corrected climate model simulations to the location was made using universal kriging with R packages automap and gstat with (external) variables x, y, x2, y2, x*y, z, where x is latitude, y is longitude, and z is elevation. For Digital Elevation Model Shuttle Radar Topography Mission was used. If there was an error using above mentioned variables, the number of variables was reduced to x, y, x*y, z and if there was still an error to x, y, z. <strong>Funding</strong> This project has received funding from the European Union\ufffd\ufffd\ufffds Horizon 2020 research and innovation programme under grant agreement No 862756.", "keywords": ["CORDEX", "13. Climate action", "RCM", "ERA5-Land", "OPTAIN", "EURO-CORDEX", "bias correction"], "contacts": [{"organization": "Honzak, Luka", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6202061"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6202061", "name": "item", "description": "10.5281/zenodo.6202061", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6202061"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-21T00:00:00Z"}}, {"id": "10.5281/zenodo.6380872", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:24:32Z", "type": "Journal Article", "title": "Optimization of a hemolymph protein extraction method from native polyacrylamide gel", "description": "<strong>INTRODUCTION:</strong> Although there are indications that insect-based proteins may have potential biomedical applications (anticancer and antimicrobial), as well as in cellular agriculture (food and feed), they have not been sufficiently investigated. The hemolymph of insect larvae is protein-rich, particularly in storage proteins that are involved in amino acid metabolism and protein synthesis. In order to characterize these proteins, the first step is their successful isolation. Using diapausing 5th instar larvae of the economically important European corn borer moth (ECB) <em>Ostrinia nubilalis </em>(Hbn.) as a model system, in this study we optimized a method for isolating individual native hemolymph proteins from polyacrylamide gels and we performed initial tests of isolated proteins bioactivity. <strong>OBJECTIVES:</strong> The main objective in this study was to optimize an easy and affordable method for isolation of individual hemolymph proteins in the native state, without the use of chemicals that would affect their structure and function (e.g. sodium dodecyl sulfate, SDS). This allows further testing of these proteins for biomedical and application in cellular agriculture, and further work with isolated proteins in downstream in vitro proteome research, which will bring new knowledge and directions for different in silico proteome research. <strong>METHOD / DESIGN: </strong>Hemolymph was collected from diapausing 5th instar ECB larvae, after which hemocytes were removed from the hemolymph by centrifuging the samples for 30 min. at 16 000 g. Hemolymph proteins were separated by native polyacrylamide gel electrophoresis (PAGE) on a customized discontinuous gel without a well comb, using the BIO-RAD Mini-PROTEAN\ufffd\ufffd Tetra cell. <br> In order to determine the position of protein fractions of interest on the gel after electrophoresis, thin vertical strips were cut from the sides of the polyacrylamide gel and stained with Coomassie Brilliant Blue, after which the same gel strips were destained. The strips were placed next to the original gels and 5 protein fractions were cut from the unstained part of the polyacrylamide gel, chopped and transferred to microtubes. Ultrapure water was added to the tubes and they were placed on the Biometra TSC ThermoShaker overnight at 30\ufffd\ufffdC to elute the proteins from the gels. After elution, the protein samples were centrifuged for 15 min. at 10 000 g. The concentration of isolated proteins was determined by measuring the absorbance at 230 nm using the Shimadzu BioSpec-nano, with a serial dilution of bovine \ufffd\ufffd-globulin used as the protein standard. To confirm that the proteins were well isolated, the individual fractions were run in duplicate wells on discontinuous native PAGE using the BIO-RAD Mini-PROTEAN\ufffd\ufffd 3 Cell, after which the gels were stained, destained and imaged. Finally, the effect of successfully isolated proteins on MRC-5 cell viability was examined using an MTT assay. <strong>RESULTS: </strong>Five distinct protein fractions were detected after the first native PAGE (P1-P5). After elution from the gel, these fractions and the method for their isolation were validated with a second native PAGE. Regarding the testing of isolated protein bioactivity, the results of the MTT assay indicate an antiproliferative effect of all 5 protein fractions, especially in the P4 fraction. <strong>CONCLUSIONS: </strong>The insect hemolymph protein extraction method optimized in this study proved to be simple and successful and could potentially be applied to other insect species as well. Also, the structure and function of the proteins remained intact during the isolation process, which allows further use of the isolated proteins in downstream in vitro proteome research, the results of which will contribute to protein identification and in silico proteome research based on different bioinformatics tools (e.g. protein-protein interaction analysis, in silico bioactivity analyses, etc.). Finally, since the isolated proteins showed antiproliferative effects on the selected cell line, their anticancer and antimicrobial activity will be further tested.", "keywords": ["insects; hemolymph proteins; native PAGE; protein isolation; proteomics"], "contacts": [{"organization": "Teodora, Kne\u017ei\u0107, Milo\u0161, Avramov, \u017deljko, Popovi\u0107 D., Ljiljana, Janju\u0161evi\u0107, Mila, Djisalov, Ivana, Gadjanski,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6380872"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Book%20of%20Abstracts%20-%20Bioscience%20Conference%20and%20the%208th%20International%20PSU%20%E2%80%93%20UNS%20Bioscience%20Conference%20%28IBSC2021%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6380872", "name": "item", "description": "10.5281/zenodo.6380872", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6380872"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.7307449", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:24:42Z", "type": "Dataset", "title": "Components of the complete budget for SAFE intensive carbon plots", "description": "<strong>Description: </strong> Measured components of total carbon budget at SAFE project, values, with standard errors, for each 1-ha carbon plots for 11 plots investigated across a logging gradient from unlogged old-growth to heavily logged.<br> <br> These data are also published in below-ground carbon cycle in Riutta et al 2021 GBC and allocation of net primary productivity from Riutta et al 2019 GCB. This worksheet include two addititional carbon plots from Lambir Hills National Park (see Kho et al. 2013 JGR), which are not part of the SAFE Project. Below-ground carbon cycle data can be found at DOI 10.5281/zenodo.3266770 and leaf respiration at DOI 10.5281/zenodo.3247630.<br> <br> SAFE Intensive Carbon Plots, part of the Global Ecosystem Monitoring (GEM) network, see http://gem.tropicalforests.ox.ac.uk/. All the methods and installation is described in detail in the GEM Intensive Carbon Plots manual, available at http://gem.tropicalforests.ox.ac.uk/files/rainfor-gemmanual.v3.0.pdf. <strong>Project: </strong>This dataset was collected as part of the following SAFE research project: <strong>Changing carbon dioxide and water budgets from deforestation and habitat modification</strong> <strong>Funding: </strong>These data were collected as part of research funded by: Sime Darby Foundation (Grant, SAFE Core data) European Research Council Advanced Investigator Grant, GEM-TRAIT (Grant, Grant number 321131) NERC Human-Modified Tropical Forests Programme: Biodiversity And Land-use Impacts on tropical ecosystem function (BALI) Project (Grant, NE/K016369/1) NERC standard grant: The multi-year impacts of the 2015/2016 El Ni\u00f1o on the carbon cycle of tropical forests worldwide (Grant, NE/P001092/1) HSBC Malaysia (Grant) The University of Zurich (Grant) This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs. <strong>Permits: </strong>These data were collected under permit from the following authorities: Sabah Biodiversity Council (Research licence JKM/MBs.1000-2/2 JLD.6 (76)) <strong>XML metadata: </strong>GEMINI compliant metadata for this dataset is available here <strong>Files: </strong>This consists of 1 file: SAFE_CarbonBalanceComponents.xlsx <strong>SAFE_CarbonBalanceComponents.xlsx</strong> This file contains dataset metadata and 1 data tables: <strong>Carbon balance components data</strong> (described in worksheet Data) Description: Carbon balance components and carbon budget of intensive carbon plots at SAFE project Number of fields: 64 Number of data rows: 11 Fields: <strong>ForestType</strong>: Old-growth or Logged (Field type: categorical) <strong>SAFEPlotName</strong>: SAFE plot name, as in the SAFE Gazetteer (Field type: location) <strong>PlotName</strong>: Plot name (used in field work) (Field type: id) <strong>ForestPlotsCode</strong>: Plot code, as in the ForestPlots database (this should be used in publications, instead of plot name) (Field type: id) <strong>WoodyNPP_Stem</strong>: Woody stem productivity (subcomponent of woody net primary productivity) (Field type: numeric) <strong>WoodyNPP_CoarseRoot</strong>: Coarse root productivity (subcomponent of woody net primary productivity) (Field type: numeric) <strong>WoodyNPP_BranchTurnover</strong>: Branch turnover productivity (subcomponent of woody net primary productivity) (Field type: numeric) <strong>WoodyNPP_Total</strong>: Total woody net primary producivity (Field type: numeric) <strong>CanopyNPP_Leaf</strong>: Leaf productivity (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Twig</strong>: Twig productivity (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Reproductive</strong>: Reproductive productivity, i.e. fruit, seed and flowers (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Miscellaneous</strong>: Unidentified canopy debris (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Herbivory</strong>: Leaf productivity lost to herbivory (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Total</strong>: Total canopy net primary producivty (Field type: numeric) <strong>FineRootNPP</strong>: Fine root productivity (Field type: numeric) <strong>TotalNPP_WithoutMycorrhiza</strong>: Total net primary productivity without mycorrhiza (Field type: numeric) <strong>TotalNPP_WithMycorrhiza</strong>: Total net primary productivity including mycorrhiza (Field type: numeric) <strong>GPP_WithoutMycorrhiza</strong>: Gross primary productivity without mycorrhiza (Field type: numeric) <strong>GPP_WithMycorrhiza</strong>: Gross primary productivity including mycorrhiza (Field type: numeric) <strong>R_Stem</strong>: Respiration from woody stems (Field type: numeric) <strong>R_Leaf</strong>: Leaf Respiration (Field type: numeric) <strong>R_FineRoots</strong>: Respiration from fine roots (Field type: numeric) <strong>R_CoarseRoots</strong>: Respiration from coarse roots (Field type: numeric) <strong>R_SOM</strong>: Respiration from soil organic matter (Field type: numeric) <strong>R_Mycorrhiza</strong>: Respiration from mycorrhiza (Field type: numeric) <strong>R_Litter</strong>: Respiration from litter layer (Field type: numeric) <strong>R_Deadwood</strong>: Deadwood respiration (Field type: numeric) <strong>R_auto</strong>: Total autotrophic respiration (Field type: numeric) <strong>R_het</strong>: Total heterotrophic respiration (Field type: numeric) <strong>R_eco</strong>: Total ecosystem respiration (Field type: numeric) <strong>NEP_WithoutMycorrhiza</strong>: Total net ecosystem productivity (also known as net ecosystem exchange) without including mycorrhiza, whereby positive values indicate a net source of carbon to the atmosphere (Field type: numeric) <strong>NEP_WithMycorrhiza</strong>: Total net ecosystem productivity (also known as net ecosystem exchange) including mycorrhiza, whereby positive values indicate a net source of carbon to the atmosphere (Field type: numeric) <strong>AbovegroundBiomassCarbonStock</strong>: Plot above-ground biomass carbon stock (Field type: numeric) <strong>CoarseRootBiomassCarbonStock</strong>: Biomass carbon stock of coarse roots (Field type: numeric) <strong>SE_WoodyNPP_Stem</strong>: Standard error of woody stem productivity (Field type: numeric) <strong>SE_WoodyNPP_CoarseRoot</strong>: Standard error of coarse root productivity (Field type: numeric) <strong>SE_WoodyNPP_BranchTurnover</strong>: Standard error of branch turnover productivity (Field type: numeric) <strong>SE_WoodyNPP_Total</strong>: Standard error of total woody net primary producivity (Field type: numeric) <strong>SE_CanopyNPP_Leaf</strong>: Standard error of leaf productivity (Field type: numeric) <strong>SE_CanopyNPP_Twig</strong>: Standard error of twig productivity (Field type: numeric) <strong>SE_CanopyNPP_Reproductive</strong>: Standard error of reproductive productivity, i.e. fruit, seed and flowers (Field type: numeric) <strong>SE_CanopyNPP_Miscellaneous</strong>: Standard error of unidentified canopy debris (Field type: numeric) <strong>SE_CanopyNPP_Herbivory</strong>: Standard error of leaf productivity lost to herbivory (Field type: numeric) <strong>SE_CanopyNPP_Total</strong>: Standard error of total canopy net primary producivty (Field type: numeric) <strong>SE_FineRootNPP</strong>: Standard error of fine root productivity (Field type: numeric) <strong>SE_TotalNPP_WithoutMycorrhiza</strong>: Standard error of total net primary productivity without mycorrhiza (Field type: numeric) <strong>SE_TotalNPP_WithMycorrhiza</strong>: Standard error of total net primary productivity including mycorrhiza (Field type: numeric) <strong>SE_GPP_WithoutMycorrhiza</strong>: Standard error of gross primary productivity without mycorrhiza (Field type: numeric) <strong>SE_GPP_WithMycorrhiza</strong>: Standard error of gross primary productivity including mycorrhiza (Field type: numeric) <strong>SE_R_Stem</strong>: Standard error of respiration from woody stems (Field type: numeric) <strong>SE_R_Leaf</strong>: Standard error of leaf Respiration (Field type: numeric) <strong>SE_R_FineRoots</strong>: Standard error of respiration from fine roots (Field type: numeric) <strong>SE_R_CoarseRoots</strong>: Standard error of respiration from coarse roots (Field type: numeric) <strong>SE_R_SOM</strong>: Standard error of respiration from soil organic matter (Field type: numeric) <strong>SE_R_Mycorrhiza</strong>: Standard error of respiration from mycorrhiza (Field type: numeric) <strong>SE_R_Litter</strong>: Standard error of litter layer respiration (Field type: numeric) <strong>SE_R_Deadwood</strong>: Standard error of deadwood respiration (Field type: numeric) <strong>SE_R_auto</strong>: Standard error of total autotrophic respiration (Field type: numeric) <strong>SE_R_het</strong>: Standard error of total heterotrophic respiration (Field type: numeric) <strong>SE_R_eco</strong>: Standard error of total ecosystem respiration (Field type: numeric) <strong>SE_NEP_WithoutMycorrhiza</strong>: Standard error of total net ecosystem productivity (Field type: numeric) <strong>SE_NEP_WithMycorrhiza</strong>: Standard error of total net ecosystem productivity (Field type: numeric) <strong>SE_AbovegroundBiomassCarbonStock</strong>: Standard error of plot above-ground biomass carbon stock (Field type: numeric) <strong>SE_CoarseRootBiomassCarbonStock</strong>: Standard error of biomass carbon stock of coarse roots (Field type: numeric) <strong>Date range: </strong>2011-08-25 to 2018-07-17 <strong>Latitudinal extent: </strong>4.1830 to 5.0700 <strong>Longitudinal extent: </strong>114.0190 to 117.8200", "keywords": ["2. Zero hunger", "Soil carbon cycle", "Soil organic matter", "Flux", "Respiration", "15. Life on land", "Carbon balance", "Autotrophic respiration", "6. Clean water", "SAFE core data", "13. Climate action", "SAFE project", "Heterotropchic respiration", "Litter", "Carbon plot", "Carbon flux", "Productivity"], "contacts": [{"organization": "Riutta, Terhi, Ewers, Robert M, Malhi, Yadvinder, Majalap, Noreen, Khoon, Kho Lip, Mills, Maria,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7307449"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7307449", "name": "item", "description": "10.5281/zenodo.7307449", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7307449"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-09T00:00:00Z"}}, {"id": "10.7910/DVN/GVNJAB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:25:41Z", "type": "Dataset", "created": "2019-06-24", "title": "Physical topsoil  properties in Murugusi, Western Kenya", "description": "Open Access&lt;b&gt;General:&lt;/b&gt; Lab determined topsoil bulk density, contents of sand, clay and organic carbon in Murugusi, W. Kenya, together with spatial coordinates of where the soil samples were taken (rounded to the closest center point of a 250 m \u00d7 250 m raster). All lab analyses were carried out at the ILRI/CIAT lab in Nairob, Kenya.  &lt;br&gt;  &lt;b&gt;Soil sampling:&lt;/b&gt; At each sample location, one composite topsoil sample was taken; three cores of 7 cm in diameter taken within an area of one square meter. The soil was taken from 0-0.2 m depth below any organic (O) horizon.   &lt;br&gt;  &lt;b&gt;Determination of soil properties:&lt;/b&gt; The bulk density of the soil was determined by taking two undisturbed soil samples (0-10 cm and 10-20 cm depth) of known volume (100 cm2) and weighting them after air drying. Soil fractions of clay (&lt;0.002 mm) and sand (0.05-2 mm) were determined by the hydrometer method (Estefan et al., 2014), using 10% sodium hexametaphosphate as the dispersing agent. Soil pH was determined potentiometrically on a soil suspension of 1:2 (soil: water). Total carbon was measured after dry combustion using an elemental analyser (Elementar Vario max cube; ISO 10694, first edition 1995-03-01)  &lt;br&gt;  &lt;b&gt;Reference: &lt;/b&gt;Estefan G., Sommer R., Ryan J. (2014) Analytical Methods for Soil-Plant and Water in Dry Areas. A Manual of Relevance to the West Asia and North Africa Region. 3rd Edition, International Center for Agricultural Research in the Dry Areas, Aleppo, 255 pp. Available online at: http://repo.mel.cgiar.org:8080/handle/20.500.11766/7512?show=full. Verified: October 9, 2018.  &lt;br&gt;  &lt;b&gt;Acknowledgements: &lt;/b&gt; We are deeply thankful for the good services provided by John Mukulama (soil sampling), John Yumbya Mutua (soil sampling) and Francis Mungthu Njenga (lab analyses) The project was carried out within the CGIAR Research Program on Water, Land and Ecosystems (WLE).", "keywords": ["Soil organic matter", "Agricultural Sciences", "Soil organic carbon", "sand", "Kenya", "Carbon", "Latin America and the Caribbean", "soil", "Soil", "Soil bulk density", "Sand", "soil organic matter", "Earth and Environmental Sciences", "Soil texture", "Murugusi", "Africa", "Clay", "Texture", "Western Kenya", "Agroecosystems and Sustainable Landscapes - ASL"], "contacts": [{"organization": "Piikki, Kristin, S\u00f6derstr\u00f6m, Mats, Sommer, Rolf, Da Silva, Mayesse,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/GVNJAB"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/GVNJAB", "name": "item", "description": "10.7910/DVN/GVNJAB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/GVNJAB"}, {"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": "10.7910/DVN/HXAH87", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:25:41Z", "type": "Dataset", "title": "Arbuscular and ectomycorrhizal fungi diversity in the Indian subcontinent", "description": "Mycorrhizal fungi (MF) are below-ground organisms playing a key role in terrestrial ecosystems as they regulate nutrient and carbon cycles, and influence soil structure and ecosystem multifunctionality. Arbuscular and ectomycorrhizal fungi are the two mycorrhizal types most relevant to worldwide ecosystems, but areas like the Indian sub-continent remain under-represented in global maps. The dataset presented here reports the available information regarding arbuscular and ectomycorrhizal fungi diversity in cultivated and natural ecosystems of the Indian subcontinent. We have selected studies published in English in ISI Web of Science during the years 2005 - 2020 that provided a taxonomic classification of MF and their associated abundance in terms of percentage of root colonization or number of spores per quantity of soil. From the screening of 74 studies, we have recorded: i. the scientific or common name of the plant or the generic habitat sampled for MF identification; ii the MF genus and species; iii. the location of the study with associated altitude and geographic coordinates; iv. main soil physico-chemical properties (soil pH, texture, organic Carbon, Total Nitrogen, available Phosphorus); climatic variables such as mean annual precipitation and temperature.&lt;br&gt;&lt;br&gt;", "keywords": ["ecosystem management", "Asia", "Agricultural Sciences", "CGIAR Research Program on Water", " Land and Ecosystems", "Multifunctional Landscapes", "gesti\u00f3n de ecosistemas", "soil biology", "MYCORRHIZAE", "CGIAR Research Program", "Earth and Environmental Sciences", "SOIL BIOLOGY", "BIODIVERSITY", "mycorrhizae", "biolog\u00eda del suelo"], "contacts": [{"organization": "Beggi, Francesca, Dasgupta, Debarshi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/HXAH87"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/HXAH87", "name": "item", "description": "10.7910/DVN/HXAH87", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/HXAH87"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/ZTMDUR", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:25:42Z", "type": "Dataset", "created": "2005-01-01", "title": "Pilot Analysis of Global Ecosystems (PAGE), Agroecosystems dataset", "description": "&lt;br&gt;The Pilot Analysis of Global Ecosystems (PAGE): Agroecosystems was one of four pilot studies undertaken as precursors to the Millennium Ecosystem Assessment. The study identifies linkages between crop production systems and environmental services such as food, soil resources, water, biodiversity, and carbon cycling, in the hopes that a better understanding of these linkages might lead to policies that can contribute both to improved food output and to improved ecosystem service provision. Th e PAGE Agroecosystems report includes a series of 24 maps that provide a detailed spatial perspective on agroecosystems a nd agroecosystem services. Pilot Analysis of Global Ecosystems (PAGE): Agroecosystems Dataset offers the 9 geospatial datasets used to build these maps. &lt;/br&gt;  &lt;br&gt;The datasets are:&lt;/br&gt;  &lt;br&gt;PAGE Global Agricultural Extent. The data describe the location and extent of global agriculture and are derived from GLLCCD 1998; USGS EDC1999a.&lt;/br&gt;  &lt;br&gt;PAGE Global Agricultural Extent version 2. The data are an update of the original PAGE Global Agricultural Extent, based on version 2 of the Global Land Cover Characteristics Dataset (GLCCD v2.0, USGS/EDC 2000). The methods used to create this dataset were the same as those employed to create the origina l PAGE Global Agricultural Extent.&lt;/br&gt;  &lt;br&gt;Mask of the Global Extent of Agriculture. This dataset displays the global extent of agricultural areas as defined by the PAGE study. The other datasets made available on this site (eg. tree cover, soil carbon, area free of soil constraints) only show values for areas within this agricultural extent.&lt;/br&gt;  &lt;br&gt;PAGE Global Agroecosystems. These data characterize agroecosystems, defined as 'a biological and natural resource system managed by humans for the primary purpose of producing food as well as other socially valuable nonfood products and environmental services.' &lt;/br&gt;  &lt;br&gt;Percentage Tree Cover within the Extent of Agriculture. This is a raster dataset that shows the proportion of land area within the PAGE agricultural extent that is occupied by 'woody vegetation' (mature vegetation whose approximate height is greater than 5 meters).&lt;/br&gt;  &lt;br&gt;Carbon Storage in Soils within the PAGE Agricultural Extent. The data give a global estimate of soil organic carbon storage in agricultural lands, calculated by applying Batjes' (1996 and 2000) soil organic carbon content values by soil type area share of each 5 x 5 minute of the Digital Soil Map of the World (FAO 1995). &lt;/br&gt;  &lt;br&gt;Agriculture Share of Watershed. This dataset depicts agricultural area as a share of total watershed area. The share of each watershed that is agricultural was calculated by applying a weighted percentage to each PAGE agricultural land cover class.&lt;/br&gt;  &lt;br&gt;Area Free of Soil Constraints. The data show the proportional area within the PAGE agricultural extent that is free from soil constraints. The area free of soil constraints is based on fertility capability classification (FCC) app lied to FAO's Digital Soil Map of the World (1995).&lt;/br&gt;  &lt;br&gt;Outline of Land and Water Area. These data are used to provide a boundary for land areas and facilitate the readability of maps.&lt;/br&gt;", "keywords": ["Pilot Analysis of Global Ecosystems (PAGE)", "Agroecosystems"], "contacts": [{"organization": "Wood, Stanley, Sebastian, Kate, Scherr, Sara,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/ZTMDUR"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/ZTMDUR", "name": "item", "description": "10.7910/DVN/ZTMDUR", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/ZTMDUR"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-01-01T00:00:00Z"}}, {"id": "11369/372709", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:13Z", "type": "Journal Article", "created": "2018-09-07", "title": "Soil resources and element stocks in drylands to face global issues", "description": "Abstract<p>Drylands (hyperarid, arid, semiarid, and dry subhumid ecosystems) cover almost half of Earth\uffe2\uff80\uff99s land surface and are highly vulnerable to environmental pressures. Here we provide an inventory of soil properties including carbon (C), nitrogen (N), and phosphorus (P) stocks within the current boundaries of drylands, aimed at serving as a benchmark in the face of future challenges including increased population, food security, desertification, and climate change. Aridity limits plant production and results in poorly developed soils, with coarse texture, low C:N and C:P, scarce organic matter, and high vulnerability to erosion. Dryland soils store 646 Pg of organic C to 2\uffe2\uff80\uff89m, the equivalent of 32% of the global soil organic C pool. The magnitude of the historic loss of C from dryland soils due to human land use and cover change and their typically low C:N and C:P suggest high potential to build up soil organic matter, but coarse soil textures may limit protection and stabilization processes. Restoring, preserving, and increasing soil organic matter in drylands may help slow down rising levels of atmospheric carbon dioxide by sequestering C, and is strongly needed to enhance food security and reduce the risk of land degradation and desertification.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "Conservation of Natural Resources", "0303 health sciences", "Multidisciplinary", "Nitrogen", "Climate", "Climate Change", "Phosphorus", "15. Life on land", "Article", "Carbon", "Food Supply", "Soil", "03 medical and health sciences", "element cycles", "13. Climate action", "carbon cycle", "Life Science", "Humans", "Desert Climate", "Ecosystem", "geochemistry"]}, "links": [{"href": "https://iris.univr.it/bitstream/11562/1001390/1/Soil%20resources%20and%20element%20stocks%20in%20drylands%20to%20face%20global%20issues.pdf"}, {"href": "https://www.nature.com/articles/s41598-018-32229-0.pdf"}, {"href": "https://doi.org/11369/372709"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11369/372709", "name": "item", "description": "11369/372709", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11369/372709"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-13T00:00:00Z"}}, {"id": "11379/629705", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:13Z", "type": "Journal Article", "created": "2025-07-19", "title": "Role of Biodegradable and Non-Biodegradable Microplastic in Modulating the toxicological Effects of Organic Pollutants in the Soil Organism Folsomia candida", "description": "Abstract                   <p>                     The ecotoxicological effects of microplastics in soil ecosystems are complex, particularly in areas of intensive agriculture and livestock production, where plant protection products and veterinary drugs commonly coexist with plastic residues. In this study, we investigated the impact, under laboratory conditions, of 3 MP types (non-biodegradable low-density polyethylene (LDPE) and biodegradable polybutylene adipate terephthalate-based (PBAT-based) and a starch-based polymer) on the soil-dwelling species                     Folsomia candida                     (Willem, 1902) in soils contaminated with the anthelmintic albendazole and the fungicide pyraclostrobin. These organic pollutants (OPs) are frequently found in areas of intensive agriculture and livestock production.                     F. candida                     individuals were exposed for 28\uffc2\uffa0days to soils contaminated by the OPs at 0.0001 w/w% (1\uffc2\uffa0mg/kg), with and without MPs at 0.01 and 0.1 w/w% concentrations (100 and 1000\uffc2\uffa0mg/kg respectively), under laboratory conditions (21\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff891 C\uffc2\uffb0, 80%\uffe2\uff80\uff89\uffc2\uffb1\uffe2\uff80\uff891 RH). Adults\uffe2\uff80\uff99 survival, egg production, and juveniles\uffe2\uff80\uff99 occurrence were recorded as endpoints. Our findings indicate that microplastics alone did not significantly affect the survival and reproductive outcomes of                     F. candida                     . However, in soils contaminated with albendazole and pyraclostrobin, the presence of biodegradable MPs resulted in significant effects compared to the control and the treatment with only microplastics. Specifically, PBAT-based MPs significantly impacted adult survival, juvenile occurrence, and egg counts, while starch-based MPs primarily affected egg counts. On the contrary, co-exposure to OPs and LDPE MPs did not show significant effects. These results suggest that different MPs influence the bioavailability and toxicity of co-occurring fungicides and veterinary drug in soil ecosystems in different ways, with implications for assessing the ecological risks of biodegradable and non-biodegradable plastics in contaminated soils. The potential of MPs to influence the spatial distribution and bioavailability of organic pollutants for soil mesofauna needs further investigation.                   </p", "keywords": ["Soil ecotoxicology", "Pyraclostrobin", "Microplastics (MPs)", "Organic pollutants (OPs)", "Albendazole", "Biodegradable plastics", "Microplastics (MPs)", " Biodegradable plastics", " Organic pollutants (OPs)", " Albendazole", " Pyraclostrobin", " Soil ecotoxicology", " Folsomia candida", "Folsomia candida"]}, "links": [{"href": "https://iris.unibs.it/bitstream/11379/629705/1/s11270-025-08351-x.pdf"}, {"href": "https://doi.org/11379/629705"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%2C%20Air%2C%20%26amp%3B%20Soil%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11379/629705", "name": "item", "description": "11379/629705", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11379/629705"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-19T00:00:00Z"}}, {"id": "11572/255256", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:26:15Z", "type": "Journal Article", "created": "2019-09-23", "title": "Elastica catastrophe machine: theory, design and experiments", "description": "Open Access31 pages, 18 figures", "keywords": ["Nonlinear mechanics; Snap mechanisms; Structural instability", "0203 mechanical engineering", "FOS: Physical sciences", "02 engineering and technology", "Chaotic Dynamics (nlin.CD)", "Nonlinear Sciences - Chaotic Dynamics", "0210 nano-technology"]}, "links": [{"href": "https://iris.unitn.it/bitstream/11572/255256/1/1-s2.0-S002250961930523X-main.pdf"}, {"href": "https://doi.org/11572/255256"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20the%20Mechanics%20and%20Physics%20of%20Solids", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11572/255256", "name": "item", "description": "11572/255256", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11572/255256"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-01T00:00:00Z"}}, {"id": "11586/524923", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:19Z", "type": "Journal Article", "created": "2024-12-03", "title": "Addressing the environmental sustainability of plastics used in agriculture: a multi-actor perspective", "description": "Abstract                   <p>Plastics used in agriculture, commonly known as agriplastics (AP), offer numerous advantages in terrestrial agriculture, forestry, fisheries and aquaculture, but the diffusion of AP-intensive practices has led to extensive pollution. This review aims to synthesise scientific and policy discussions surrounding AP, examining evidence of their benefits and detrimental environmental and agricultural impacts. Following the proposal of a preliminary general taxonomy of AP, this paper presents the findings from a survey conducted among international experts from the plastic industry, farmer organisations, NGOs and environmental research institutes. This analysis highlights knowledge gaps, demands and perspectives for the sustainable future use of AP. Stakeholder positions vary on the options of \uffe2\uff80\uff98rejection\uffe2\uff80\uff99 or \uffe2\uff80\uff98reduction\uffe2\uff80\uff99 of AP, as well as the role of alternative materials such as (bio)degradable and compostable plastics. However, there is consensus on critical issues such as redesign, labelling, traceability, environmental safety standards, deployment and retrieval standards, as well as innovative waste management approaches. All stakeholders express concern for the environment. A \uffe2\uff80\uff98best practice\uffe2\uff80\uff99-based circular model was elaborated capturing these perspectives. In the context of global food systems increasingly reliant on AP, scientists emphasise the need to simultaneously preserve nature-based and traditional knowledge-based sustainable agricultural practices to enhance food system resilience.</p", "keywords": ["multi-actor approach", "330", "Multi-actor approach", "Agriculture", "Environmental technology. Sanitary engineering", "630", "Environmental sciences", "plastic pollution", "plastic waste", "Agriplastics", "Plastic pollution", "Plastic waste", "agriplastics", "GE1-350", "TD1-1066", "agriculture"]}, "links": [{"href": "https://doi.org/11586/524923"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Cambridge%20Prisms%3A%20Plastics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11586/524923", "name": "item", "description": "11586/524923", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11586/524923"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-04T00:00:00Z"}}, {"id": "17e5dafc-0450-41d3-ad4b-d698b0f1a9ad", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:30:10Z", "type": "Dataset", "title": "Atlas des d\u00e9partements fran\u00e7ais d'Outre-Mer : 4. La Guyane. 4 mosaics of 4 map sheets and a set of 32 map sheets. Scale of 1:40\u00a0000\u00a0000 to 1:7\u00a0100. Date of publication: 1978-1979.", "description": "4 mosaics of 4 map sheets and a set of 32 additional map sheets 1.   Administrations, banques : la Guyane : planche 29. Scale of 1:3\u00a0000\u00a0000 to 1:10\u00a0000. Date of publication: 1979. 2.   Arch\u00e9ologie, histoire des Am\u00e9rindiens : la Guyane : planche 17. Scale of 1:15\u00a0000\u00a0000 to 1:1\u00a0500\u00a0000. Date of publication: 1979. 3.   Cartes anciennes : la Guyane : planche 18. Scale of 1:2\u00a0500\u00a0000 to 1:630\u00a0000. Date of publication: 1979. 4.   Cayenne : la Guyane : planche 34. Scale of 1:60\u00a0000 to 1:10\u00a0000. Date of publication: 1979. 5.   Circulation, transports : la Guyane : planche 27. Scale of 1:14\u00a0000\u00a0000 to 1:100\u00a0000. Date of publication: 1979. 6.   Climatologie : la Guyane : planche 7. Scale of 1:3\u00a0500\u00a0000. Date of publication: 1979. 7.   Climatologie II : pluviom\u00e9trie annuelle moyenne : la Guyane : planche 8. Scale of 1:1\u00a0000\u00a0000. Date of publication: 1979. 8.   Commerce, industrie, p\u00eache, tourisme : la Guyane : planche 28. Scale of 1:2\u00a0000\u00a0000 to 1:1\u00a0500\u00a0000. Date of publication: 1979. 9.   Energie, eaux, PTT et radiot\u00e9l\u00e9vision : la Guyane : planche 30. Scale of 1:1\u00a0500\u00a0000 to 1:225\u00a0000. Date of publication: 1979. 10.  Exploitation foresti\u00e8re : la Guyane : planche 25. Scale of 1:1\u00a0000\u00a0000. Date of publication: 1979. 11.  Faunes originales : plaines c\u00f4ti\u00e8res : la Guyane : planche 15. Scale of 1:350\u00a0000. Date of publication: 1979. 12.  G\u00e9ologie : la Guyane : planche 4. Scale of 1:2\u00a0500\u00a0000 to 1:1\u00a0000\u00a0000. Date of publication: 1979. 13.  G\u00e9omorphologie : la Guyane : planche 5. Scale of 1:2\u00a0000\u00a0000 to 1:1\u00a0000\u00a0000. Date of publication: 1979. 14.  Groupes humains : la Guyane : planche 20. Scale of 1:2\u00a0000\u00a0000 to 1:300\u00a0000. Date of publication: 1979. 15.  Histoire coloniale : la Guyane : planche 19. Scale of 1:2\u00a0000\u00a0000 to 1:500\u00a0000. Date of publication: 1979. 16.  Hydrologie : la Guyane : planche 9. Scale of 1:1\u00a0000\u00a0000. Date of publication: 1978. 17.  Ile de Cayenne : la Guyane : planche 35. Scale of 1:100\u00a0000 to 1:60\u00a0000. Date of publication: 1978. 18.  Kourou, Saint-Laurent, Sinnamary : la Guyane : planche 36. Scale of 1:100\u00a0000 to 1:7\u00a0100. Date of publication: 1979. 19.  La r\u00e9gion des Guyanes : la Guyane : planche 2. Scale of 1:5\u00a0000\u00a0000. Date of publication: 1979. 20.  Logement : la Guyane : planche 33. Scale of 1:1\u00a0000\u00a0000 to 1:35\u00a0000. Date of publication: 1979. 21.  Milieu marin : la Guyane : planche 14. Scale of 1:1\u00a0500\u00a0000. Date of publication: 1979. 22.  Mouvements migratoires : la Guyane : planche 22. Scale of 1:1\u00a0000\u00a0000 to 1:100\u00a0000. Date of publication: 1979. 23.  Pathologie : la Guyane : planche 16. Scale of 1:2\u00a0000\u00a0000 to 1:150\u00a0000. Date of publication: 1979. 24.  P\u00e9dologie : la Guyane : planche 10. Scale of 1:1\u00a0000\u00a0000. Date of publication: 1979. 25.  P\u00e9dologie : plaines c\u00f4ti\u00e8res : la Guyane : planche 11. Scale of 1:350\u00a0000. Date of publication: 1979. 26.  Population : r\u00e9partition : la Guyane : planche 21. Scale of 1:2\u00a0000\u00a0000 to 1:100\u00a0000. Date of publication: 1979. 27.  Productions agricoles : la Guyane : planche 24. Scale of 1:2\u00a0000\u00a0000. Date of publication: 1979. 28.  Relief : la Guyane : planche 3. Scale of 1:1\u00a0000\u00a0000 to 1:100\u00a0000. Date of publication: 1979. 29.  Ressources mini\u00e8res : la Guyane : planche 26. Scale of 1:1\u00a0000\u00a0000 to 1:25\u00a0000. Date of publication: 1979. 30.  Sant\u00e9 et action sociale, scolarit\u00e9 : la Guyane : planche 31. Scale of 1:1\u00a0500\u00a0000 to 1:50\u00a0000. Date of publication: 1979. 31.  S\u00e9dimentologie : plaines c\u00f4ti\u00e8res : la Guyane : planche 6. Scale of 1:350\u00a0000. Date of publication: 1979. 32.  Situation : la Guyane : planche 1. Scale of 1:40\u00a0000\u00a0000. Date of publication: 1979. 33.  Sports et loisirs, cultes : la Guyane : planche 32. Scale of 1:1\u00a0500\u00a0000 to 1:20\u00a0000. Date of publication: 1979. 34.  Utilisation du sol : la Guyane : planche 23. Scale of 1:1\u00a0000\u00a0000 to 1:200\u00a0000. Date of publication: 1979. 35.  V\u00e9g\u00e9tation : la Guyane : planche 12. Scale of 1:1\u00a0000\u00a0000. Date of publication: 1979. 36.  V\u00e9g\u00e9tation : plaines c\u00f4ti\u00e8res : la Guyane : planche 13. Scale of 1:350\u00a0000. Date of publication: 1979.", "keywords": ["elevation", "fr", "geology", "hydrography", "illustration", "labex-ceba", "land-use", "local-coverage", "map-collection", "meteorological-geographical-features", "mineral-resources", "national-coverage", "oceanographic-geographical-features", "population-distribution-\u2014-demography", "precipitation", "project-numerisud", "regional-coverage", "relief-(land)", "settlements", "soil", "species-distribution", "thematic-map", "topography"]}, "links": [{"href": "http://data.europa.eu/88u/dataset/17e5dafc-0450-41d3-ad4b-d698b0f1a9ad"}, {"rel": "self", "type": "application/geo+json", "title": "17e5dafc-0450-41d3-ad4b-d698b0f1a9ad", "name": "item", "description": "17e5dafc-0450-41d3-ad4b-d698b0f1a9ad", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/17e5dafc-0450-41d3-ad4b-d698b0f1a9ad"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "1805/19605", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:26:26Z", "type": "Journal Article", "created": "2018-10-19", "title": "Isotopic evidence for oligotrophication of terrestrial ecosystems", "description": "Human societies depend on an Earth system that operates within a constrained range of nutrient availability, yet the recent trajectory of terrestrial nitrogen (N) availability is uncertain. Examining patterns of foliar N concentrations and isotope ratios (\u03b415N) from more than 43,000 samples acquired over 37\u2009years, here we show that foliar N concentration declined by 9% and foliar \u03b415N declined by 0.6-1.6\u2030. Examining patterns across different climate spaces, foliar \u03b415N declined across the entire range of mean annual temperature and mean annual precipitation tested. These results suggest declines in N supply relative to plant demand at the global scale. In all, there are now multiple lines of evidence of declining N availability in many unfertilized terrestrial ecosystems, including declines in \u03b415N of tree rings and leaves from herbarium samples over the past 75-150\u2009years. These patterns are consistent with the proposed consequences of elevated atmospheric carbon dioxide and longer growing seasons. These declines will limit future terrestrial carbon uptake and increase nutritional stress for herbivores.", "keywords": ["0106 biological sciences", "570", "Nitrogen", "[SDV]Life Sciences [q-bio]", "577", "terrestrial nitrogen", "Nutritional stress", "551", "01 natural sciences", "oligotrophication", "Isotopes", "https://purl.org/becyt/ford/1.6", "Terrestrial carbon uptake", "https://purl.org/becyt/ford/1", "Ecosystem", "580", "2. Zero hunger", "Nitrogen Isotopes", "terrestrial ecosystems", "isotopic", "Eutrophication", "Plants", "15. Life on land", "sylviculture", "Nitrogen; Nitrogen Isotopes; Plants; Ecosystem; Eutrophication", "[SDV] Life Sciences [q-bio]", "element cycles", "foliar", "13. Climate action", "nutrient availability"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/704621/3/Craine_2018_isotopic.pdf"}, {"href": "https://www.nature.com/articles/s41559-018-0694-0.pdf"}, {"href": "https://doi.org/1805/19605"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Ecology%20%26amp%3B%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1805/19605", "name": "item", "description": "1805/19605", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1805/19605"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-22T00:00:00Z"}}, {"id": "1808.10328", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:26Z", "type": "Journal Article", "created": "2018-09-05", "title": "Asymptotically Optimal Codes Correcting Fixed-Length Duplication Errors in DNA Storage Systems", "description": "Open AccessTo appear in IEEE Communications Letters", "keywords": ["FOS: Computer and information sciences", "Discrete Mathematics (cs.DM)", "Computer Science - Information Theory", "Information Theory (cs.IT)", "0202 electrical engineering", " electronic engineering", " information engineering", "0102 computer and information sciences", "02 engineering and technology", "94B20", " 94B25", " 94B50", " 94B65", " 68P20", " 68P30", " 68R05", "01 natural sciences", "Computer Science - Discrete Mathematics"]}, "links": [{"href": "https://doi.org/1808.10328"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/IEEE%20Communications%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1808.10328", "name": "item", "description": "1808.10328", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1808.10328"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-11-01T00:00:00Z"}}, {"id": "1854/LU-8732814", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:26:29Z", "type": "Journal Article", "created": "2021-11-09", "title": "Litter quality, mycorrhizal association, and soil properties regulate effects of tree species on the soil fauna community", "description": "Abstract   Forest management, including selection of appropriate tree species to mitigate climate change and sustain biodiversity, requires a better understanding of factors that affect the composition of soil fauna communities. These communities are an integral part of the soil ecosystem and play an essential role in forest ecosystem functioning related to carbon and nitrogen cycling. Here, by performing a field study across six common gardens in Denmark, we evaluated the effects of tree species identity and mycorrhizal association (i.e., arbuscular mycorrhiza (AM) and ectomycorrhiza (ECM)) on soil fauna (meso- and macrofauna) taxonomic and functional community composition by using diversity, abundance, and biomass as proxies. We found that (1) tree species identity and mycorrhizal association both showed significant effects on soil fauna communities, but the separation between community characteristics in AM and ECM tree species was not entirely consistent; (2) total soil fauna abundance, biomass, as well as taxonomic and functional diversity were generally significantly higher under AM tree species, as well as lime, with higher litter quality (high N and base cation and low lignin:N ratio); (3) tree species significantly influenced the properties of litter, forest floor, and soil, among which litter and/or forest floor N, P, Ca, and Mg concentrations, soil pH, and soil moisture predominantly affected soil fauna abundance, biomass, and taxonomic and functional diversity. Our results from this multisite common garden experiment provide strong and consistent evidence of positive effects of tree species with higher litter quality on soil fauna communities in general, which helps to better understand the effects of tree species selection on soil biodiversity and its functions related to forest soil carbon sequestration.", "keywords": ["DECOMPOSITION", "EARTHWORMS", "Diversity", "PH", "FOREST FLOOR", "Common garden experiment", "Soil meso- and macrofauna", "DIVERSITY", "Biology and Life Sciences", "04 agricultural and veterinary sciences", "15. Life on land", "NITROGEN", "CARBON", "Taxonomic group", "FUNCTIONAL TRAITS", "Abundance", "13. Climate action", "Earth and Environmental Sciences", "Functional group", "0401 agriculture", " forestry", " and fisheries", "BIODIVERSITY", "ABUNDANCE", "Biomass"]}, "links": [{"href": "https://doi.org/1854/LU-8732814"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8732814", "name": "item", "description": "1854/LU-8732814", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8732814"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "1959.7/uws:72836", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:26:35Z", "type": "Journal Article", "created": "2023-04-24", "title": "Different Cerrado Ecotypes Show Contrasting Soil Microbial Properties, Functioning Rates, and Sensitivity to Changing Water Regimes", "description": "Abstract<p>Soil moisture is among the most important factors regulating soil biodiversity and functioning. Models forecast changes in the precipitation regime in many areas of the planet, but how these changes will influence soil functioning, and how biotic drivers modulate such effects, is far from being understood. We evaluated the responses of C and N fluxes, and soil microbial properties to different soil water regimes in soils from the main three ecotypes of the world's largest and most diverse tropical savanna. Further, we explored the direct and indirect effects of changes in the ecotype and soil water regimes on these key soil processes. Soils from the woodland savanna showed a better nutritional status than the other ecotypes, as well as higher potential N cycling rates, N2O emissions, and soil bacterial abundance but lower bacterial richness, whereas potential CO2 emissions and CH4 uptake peaked in the intermediate savanna. The ecotype also modulated the effects of changes in the soil water regime on nutrient cycling, greenhouse gas fluxes, and soil bacterial properties, with more intense responses in the intermediate savanna. Further, we highlight the existence of multiple contrasting direct and indirect (via soil microbes and abiotic properties) effects of an intensification of the precipitation regime on soil C- and N-related processes. Our results confirm that ecotype is a fundamental driver of soil properties and functioning in the Cerrado and that it can determine the responses of key soil processes to changes in the soil water regime.</p", "keywords": ["2. Zero hunger", "Ecotype", "0301 basic medicine", "Take urgent action to combat climate change and its impacts", "Naturgeografi", "ecotype", "Cerrado", "greenhouse gases.", "04 agricultural and veterinary sciences", "15. Life on land", "precipitation regime", "Precipitation regime", "cerrado", "03 medical and health sciences", "Greenhouse gases", "Physical Geography", "13. Climate action", "N cycle", "XXXXXX - Unknown", "0401 agriculture", " forestry", " and fisheries", "C cycle", "http://metadata.un.org/sdg/13", "cerrado; ecotype; precipitation regime; C cycle; N cycle; greenhouse gases"]}, "links": [{"href": "https://doi.org/1959.7/uws:72836"}, {"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": "1959.7/uws:72836", "name": "item", "description": "1959.7/uws:72836", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1959.7/uws:72836"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-24T00:00:00Z"}}, {"id": "1F20D517-4F12-4194-B9EC-544A45676839", "type": "Feature", "geometry": null, "properties": {"updated": "2020-02-11T00:00:00Z", "type": "Dataset", "language": "de", "title": "Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) - CC7110 Mannheim", "description": "Die Boden\u00fcbersichtskarte 1:200.000 (B\u00dcK200) wird von der Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR) in Zusammenarbeit mit den Staatlichen Geologischen Diensten (SGD) der Bundesl\u00e4nder im Blattschnitt der Topographischen \u00dcbersichtskarte 1:200.000 (T\u00dcK200) erarbeitet und in 55 einzelnen Kartenbl\u00e4ttern herausgegeben. Die digitale, blattschnittfreie Datenhaltung bildet eine detaillierte, bundesweit einheitliche und fl\u00e4chendeckende Informationsgrundlage f\u00fcr L\u00e4nder \u00fcbergreifende Aussagen zu Bodennutzung und Bodenschutz. \u00dcber den aktuellen Bearbeitungsstand des Kartenwerks informieren die Internetseiten der BGR zum Thema Boden. Die Verbreitung und Vergesellschaftung der B\u00f6den auf dem Gebiet dieses Kartenblattes wird anhand von 97 Legendeneinheiten (gegliedert nach Bodenregionen und Bodengro\u00dflandschaften) beschrieben. Jede Legendeneinheit beinhaltet bodensystematische Informationen (Bodensubtyp) und Informationen zum Bodenausgangsgestein sowohl f\u00fcr die Leitb\u00f6den als auch f\u00fcr deren Begleiter. Im Rahmen der Qualit\u00e4tssicherung wurde die Linienf\u00fchrung der Bodengrenzen im gesamten Blattgebiet verbessert (Stand 12. Juli 2016).", "formats": [{"name": "PDF"}], "keywords": ["ackerbauliches-ertragspotential", "baden-wu\u0308rttemberg", "boden", "bodenart", "bodenausgangsgestein", "bodenauslaugung", "bodenbearbeitung", "bodenbelastung", "bodenbildung", "bodenbiologie", "bodenchemie", "bodendegradation", "bodendekontamination", "bodeneigenschaften", "bodenerosion", "bodenfeuchtigkeit", "bodenform", "bodenfruchtbarkeit", "bodenfunktion", "bodengefu\u0308ge", "bodengesellschaft", "bodengestaltung", "bodengruppe", "bodengu\u0308te", "bodenhorizont", "bodeninformationssystem", "bodenkarte", "bodenluft", "bodenmechanik", "bodenmineralogie", "bodennutzbarkeit", "bodennutzung", "bodenphysikalische-eigenschaften", "bodenprofil", "bodenskelett", "bodensubstrat", "bodensystematik", "bodentyp", "bodenverbreitung", "de", "durchla\u0308ssigkeit", "effektive-durchwurzelungstiefe", "fachinformationssystem", "hessen", "mannheim", "opendata", "rheinland-pfalz", "saarland", "soil"], "contacts": [{"organization": "Bundesanstalt f\u00fcr Geowissenschaften und Rohstoffe (BGR)", "roles": ["creator"]}]}, "links": [{"href": "https://download.bgr.de/bgr/Boden/BUEK200/7110/jpg/buek200_7110.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/7110/pdf/buek200_7110.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/7110/png/buek200_7110.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/7110/shp/buek200_7110.zip"}, {"href": "https://download.bgr.de/bgr/Boden/BUEK200/7110/tiff/buek200_7110.zip"}, {"href": "http://data.europa.eu/88u/dataset/1f20d517-4f12-4194-b9ec-544a45676839"}, {"rel": "self", "type": "application/geo+json", "title": "1F20D517-4F12-4194-B9EC-544A45676839", "name": "item", "description": "1F20D517-4F12-4194-B9EC-544A45676839", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1F20D517-4F12-4194-B9EC-544A45676839"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"null": "date"}}, {"id": "10.1002/adma.202402907", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:14:17Z", "type": "Journal Article", "created": "2024-05-17", "title": "Ultrafast Laser Processing of 2D Materials: Novel Routes to Advanced Devices", "description": "Abstract<p>Ultrafast laser processing has emerged as a versatile technique for modifying materials and introducing novel functionalities. Over the past decade, this method has demonstrated remarkable advantages in the manipulation of 2D layered materials, including synthesis, structuring, functionalization, and local patterning. Unlike continuous\uffe2\uff80\uff90wave and long\uffe2\uff80\uff90pulsed optical methods, ultrafast lasers offer a solution for thermal heating issues. Nonlinear interactions between ultrafast laser pulses and the atomic lattice of 2D materials substantially influence their chemical and physical properties. This paper highlights the transformative role of ultrafast laser pulses in maskless green technology, enabling subtractive, and additive processes that unveil ways for advanced devices. Utilizing the synergetic effect between the energy states within the atomic layers and ultrafast laser irradiation, it is feasible to achieve unprecedented resolutions down to several nanometers. Recent advancements are discussed in functionalization, doping, atomic reconstruction, phase transformation, and 2D and 3D micro\uffe2\uff80\uff90 and nanopatterning. A forward\uffe2\uff80\uff90looking perspective on a wide array of applications of 2D materials, along with device fabrication featuring novel physical and chemical properties through direct ultrafast laser writing, is also provided.</p", "keywords": ["femtosec-ond laser", "graphene", "Fysikaalinen kemia", "kaksiulotteisuus", "laserpulssit", "2D materials", "Physical Chemistry", "lasertekniikka", "multiphoton process", "charge carrier dynamics", "transition metal dichalco-genide", "fotoniikka", "Nanoscience Center", "grafeeni", "siirtym\u00e4metallit", "atomic reconstruction"]}, "links": [{"href": "https://doi.org/10.1002/adma.202402907"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Advanced%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/adma.202402907", "name": "item", "description": "10.1002/adma.202402907", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/adma.202402907"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-17T00:00:00Z"}}, {"id": "10.1002/bbb.294", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:14:18Z", "type": "Journal Article", "created": "2011-07-14", "title": "Impact Assessment At The Bioenergy-Water Nexus", "description": "Abstract<p>Bioenergy expansion can significantly impact water resources in the region in which it occurs. Investment, policy, and resource management decisions related to bioenergy should therefore take this critical consideration into account. Water resource impacts can defy easy quantification because water consumption varies spatially and temporally, different water sources are not necessarily commensurable, and impact depends on the state of the resource base that is drawn upon. This perspective offers an assessment framework that operators and policy\uffe2\uff80\uff90makers can use in evaluating projects to avoid or mitigate detrimental effects. We adapt water footprint (WF) and life cycle assessment (LCA) techniques to the bioenergy context, describing comprehensive life cycle inventory (LCI) approaches that account for blue and green water use as well as for pollution effects, varying sources, coproduct allocation, and spatial heterogeneity. Impact assessment requires that characterization (weighting) factors be derived so that consumption values can be summed and compared across resources and locations. We recommend that characterization draw on metrics of water stress, accounting for environmental flow requirements, climatic variability, and non\uffe2\uff80\uff90linearity of water stress effects. Finally, we describe some location\uffe2\uff80\uff90specific impacts of concern that may not be revealed through common analytical approaches and may warrant closer consideration. \uffc2\uffa9 2011 Society of Chemical Industry and John Wiley &amp; Sons, Ltd</p>", "keywords": ["13. Climate action", "0202 electrical engineering", " electronic engineering", " information engineering", "02 engineering and technology", "01 natural sciences", "7. Clean energy", "6. Clean water", "0105 earth and related environmental sciences", "12. Responsible consumption"], "contacts": [{"organization": "Kevin Fingerman, Stuart Orr, Brian Richter, P. Vugteveen, G\u00f6ran Berndes,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1002/bbb.294"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biofuels%2C%20Bioproducts%20and%20Biorefining", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/bbb.294", "name": "item", "description": "10.1002/bbb.294", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/bbb.294"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-07-01T00:00:00Z"}}, {"id": "10.1016/j.gexplo.2025.107868", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:16:49Z", "type": "Journal Article", "created": "2025-07-21", "title": "Improving spatial interpolation for anomaly analysis in presence of sparse, clustered or imprecise data sets", "description": "In this study, we present a new method of interpolation and anomaly detection especially designed for sparse, clustered or imprecise environmental data (SIC). Such data cannot be processed by current state of the art spatial methods and models, including the most widely used, such as kriging. Indeed, the statistics obtained on SIC data (on the order of 5\u201330) do not allow us to define a covariance or to calibrate the numerous hyper-parameters of sophisticated Bayesian or deep image prior models. We therefore adapted an information dissemination algorithm to handle SIC data. This probabilistic model has been enriched (anisotropy, de-clustering, auto-variography, multi-support, treatment of covariates, and censored data) in a way that fully meets the needs for environmental SIC data and can be used in conjunction with hybrid propagation of epistemic and aleatoric uncertainties and anomaly detection, whatever their mathematical form. The new interpolator for anomaly detection was applied on a very small set of 13 sparse data points characteristic of small-scale environmental studies, on digital-challenge datasets and on two real datasets, i.e., a large-scale geochemical dataset and a SIC urban soil dataset. Results highlight the added value of the proposed algorithm, that is able to pinpoint anomalies in SIC data, while avoiding in particular the smoothing effects of certain previous methods", "keywords": ["Sparse clustered", "Uncertainty", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "Spatial interpolation", "Anomaly detection", "European geochemistry"], "contacts": [{"organization": "Belb\u00e8ze, St\u00e9phane, Rohmer, J\u00e9r\u00e9my, Guyonnet, Dominique, N\u00e9grel, Philippe, Tarvainen, Timo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.gexplo.2025.107868"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geochemical%20Exploration", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gexplo.2025.107868", "name": "item", "description": "10.1016/j.gexplo.2025.107868", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gexplo.2025.107868"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-12-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2015.01.020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:15:45Z", "type": "Journal Article", "created": "2015-01-30", "title": "The Impact Of Alternative Cropping Systems On Global Warming Potential, Grain Yield And Groundwater Use", "description": "Abstract   The large consumption of groundwater for irrigating winter wheat has resulted in a continuous decline in the groundwater table on the North China Plain in recent decades. Alternative cropping systems have been proposed to substitute for the conventional winter wheat\u2013summer maize rotation system for the sustainable use of groundwater in the future. However, the impact of these cropping systems on net global warming potential (net GWP), and greenhouse gas emissions on the basis of per unit of yield (greenhouse gas intensity, GHGI) is poorly documented. Measurements of greenhouse gases were conducted over a four-year period to gain insight into net GWP and GHGI on a crop rotation scale based on an ongoing long-term field experiment on the North China Plain. The cropping systems investigated include one conventional winter wheat\u2013summer maize system (Chem. W/M) as the control and four alternative cropping systems, namely an optimized winter wheat\u2013summer maize system (Opt. W/M), two winter wheat\u2013summer maize (or soybean)\u2013spring maize system with three crops in two years (W/M\u2013M, W/S\u2013M), and a single spring maize per year (M). Compared with the Chem. W/M control, the grain yields in Opt. W/M increased significantly by 19% while the net GWP, GHGI and fertilizer N decreased by 29%, 40% and 40%, respectively, but still consumed as much groundwater (264\u00a0mm\u00a0yr\u22121) as Chem. W/M. In the two-year rotation cycle fertilizer N, groundwater use, net GWP and GHGI in W/M\u2013M, W/S\u2013M and M declined by 56\u201370%, 43\u201363%, 50\u201358% and 30\u201350%, respectively, compared to Chem. W/M. Moreover, these cropping systems consumed only 108\u2013159\u00a0mm\u00a0yr\u22121 groundwater for irrigation, a value close to the theoretical value of 150\u00a0mm\u00a0yr\u22121 to avoid a continuing decline in the groundwater table in this region. However, W/S\u2013M treatment had grain yield reductions of \u221223% and M treatment had \u221230%, and only W/M\u2013M maintained grain yields relative to Chem. W/M. We therefore recommend the W/M\u2013M management package as a preferred option to maintain grain yields together with low GWP and GHGI while mitigating the decline in the groundwater table in areas with a high water deficit.", "keywords": ["2. Zero hunger", "13. Climate action", "8. Economic growth", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2015.01.020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2015.01.020", "name": "item", "description": "10.1016/j.agee.2015.01.020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2015.01.020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=EC&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=EC&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=EC&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=EC&offset=50", "hreflang": "en-US"}], "numberMatched": 8200, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-07-27T19:15:24.846343Z"}