{"type": "FeatureCollection", "features": [{"id": "10.1002/2016JD026099", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:14:16Z", "type": "Journal Article", "created": "2017-04-07", "title": "Global soil moisture bimodality in satellite observations and climate models", "description": "Abstract

A new diagnostic metric based on soil moisture bimodality is developed in order to examine and compare soil moisture from satellite observations and Earth System Models. The methodology to derive this diagnostic is based on maximum likelihood estimator encoded into an iterative algorithm, which is applied to the soil moisture probability density function. This metric is applied to satellite data from the Advanced Microwave Scanning Radiometer for the Earth Observing System and global climate models data from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Results show high soil moisture bimodality in transitional climate areas and high latitudes, potentially associated with land\uffe2\uff80\uff90atmosphere feedback processes. When comparing satellite versus climate models, a clear difference in their soil moisture bimodality is observed, with systematically higher values in the case of CMIP5 models. These differences appear related to areas where land\uffe2\uff80\uff90atmospheric feedback may be overestimated in current climate models.

", "keywords": ["PREFERENTIAL STATES", "IMPACT", "MIXTURE", "SCHEME", "0207 environmental engineering", "NORMAL-DISTRIBUTIONS", "02 engineering and technology", "15. Life on land", "01 natural sciences", "PART I", "satellite soil moisture", "climate models", "13. Climate action", "Earth and Environmental Sciences", "LAND-SURFACE MODEL", "PRECIPITATION", "SDG 13 - Climate Action", "CMIP5", "ATMOSPHERE COUPLING EXPERIMENT", "land-atmosphere interactions", "soil moisture", "bimodality", "SYSTEM", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016JD026099"}, {"href": "https://doi.org/10.1002/2016JD026099"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2016JD026099", "name": "item", "description": "10.1002/2016JD026099", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2016JD026099"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-27T00:00:00Z"}}, {"id": "10261/309220", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:25:53Z", "type": "Journal Article", "created": "2022-09-07", "title": "Field Evaluation of Selected Autochthonous Herbaceous Species for Cover Crops in Mediterranean Woody Crops", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "0106 biological sciences", "Phenology", "Ground cover", "Aerial biomass", "0401 agriculture", " forestry", " and fisheries", "Key plant traits", "04 agricultural and veterinary sciences", "Fine root", "15. Life on land", "Cover crop mixtures", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10261/309220"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SSRN%20Electronic%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/309220", "name": "item", "description": "10261/309220", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/309220"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1016/j.eja.2022.126723", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:19Z", "type": "Journal Article", "created": "2022-09-07", "title": "Field Evaluation of Selected Autochthonous Herbaceous Species for Cover Crops in Mediterranean Woody Crops", "description": "Open AccessPeer reviewed", "keywords": ["0106 biological sciences", "2. Zero hunger", "Phenology", "Ground cover", "Aerial biomass", "0401 agriculture", " forestry", " and fisheries", "Key plant traits", "04 agricultural and veterinary sciences", "Fine root", "15. Life on land", "Cover crop mixtures", "01 natural sciences"], "contacts": [{"organization": "Soriano, Mar\u00eda-Auxiliadora, Cabezas, Jos\u00e9 Manuel, G\u00f3mez, Jos\u00e9 Alfonso,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.eja.2022.126723"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SSRN%20Electronic%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.eja.2022.126723", "name": "item", "description": "10.1016/j.eja.2022.126723", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.eja.2022.126723"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2021.116827", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:16:26Z", "type": "Journal Article", "created": "2021-03-09", "title": "Cocktails of pesticide residues in conventional and organic farming systems in Europe \u2013 Legacy of the past and turning point for the future", "description": "

<p>Considering that pesticides have been used in Europe for over 70 years, a system for monitoring pesticide residues in EU soils and their effects on soil health is long overdue. In an attempt to address this problem, we tested 340 EU agricultural topsoil samples for multiple pesticide residues. These samples originated from 4 representative EU case study sites (CSS), which covered 3 countries and four of the main EU crops: vegetable and orange production in Spain (S-V and S-O, respectively), grape production in Portugal (P-G), and potato production in the Netherlands (N-P). Soil samples were collected between 2015 and 2018 after harvest or before the start of the growing season, depending on the CSS. Conventional and organic farming results were compared in S-V, S-O and N-P. Soils from conventional farms presented mostly mixtures of pesticide residues, with a maximum of 16 residues/sample. Soils from organic farms had significantly fewer residues, with a maximum of 5 residues/sample. The residues with the highest frequency of detection and the highest content in soil were herbicides: glyphosate and its main metabolite AMPA (P-G, N-P, S-O), and pendimethalin (S-V). Total residue content in soil reached values of 0.8 mg kg-1 for S-V, 2 mg kg-1 for S-O and N-P, and 12 mg kg-1 for P-G. Organic soils presented 70-90% lower residue concentrations than the corresponding conventional soils. There is a severe knowledge gap concerning the effects of the accumulated and complex mixtures of pesticide residues found in soil on soil biota and soil health. Safety benchmarks should be defined and introduced into (soil) legislation as soon as possible. Soil remediation techniques should be developed to keep the levels of pesticide residues below such benchmarks. Furthermore, the process of transitioning to organic farming should take into consideration the residue mixtures and their residence time in soil.  </p>

", "keywords": ["2. Zero hunger", "Organic Agriculture", "Portugal", "Pesticide Residues", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "EU agricultural soils", "Europe", "Soil", "Mixtures of pesticide residues", "Spain", "13. Climate action", "Mixtures of pesticide residues; EU agricultural soils Organic", " conventional farming", "Soil Pollutants", "0401 agriculture", " forestry", " and fisheries", "Organic and conventional farming", "Netherlands"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2021.116827"}, {"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.2021.116827", "name": "item", "description": "10.1016/j.envpol.2021.116827", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2021.116827"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-03T00:00:00Z"}}, {"id": "10.1016/j.geodrs.2024.e00879", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:16:49Z", "type": "Journal Article", "created": "2024-10-10", "title": "Cover crop mixtures enhance belowground carbon input and suppression of spontaneous flora under Danish conditions", "description": "

Cover crop (CC) mixtures offer a unique set of advantages that can enhance soil health and agricultural productivity when compared to pure stand CC. However, a quantitative understanding of the varying contributions of different carbon (C) input pathways in CC mixtures is lacking. To address these gaps, a field experiment with multiple-pulse labelling with 13CO2 was used to quantify C-derived from CC mixtures via plant biomass, as well as via phyllo- and rhizodeposition. We assessed the impact of preceding main crops (barley, barley-pea, pea, and faba bean) on soil C input to 75 cm depth by two CC treatments (pure stand ryegrass versus a mixture of chicory, plantain, and ryegrass) and their effect on spontaneous flora (SF) biomass and diversity. In topsoil layers (0\u201325 cm), net C lost to soil via phyllo- and rhizodeposition was higher with mixed CC (30 g C m\u22122) than pure stand ryegrass (25 g C m\u22122). Between 25 and 75 cm, mixed CC and pure stand CC had similar C inputs via rhizodeposition despite larger root biomass in mixed CC. Cover crops reduced SF biomass and diversity, with mixed CC exerting the strongest suppressive effect, reducing biomass (individuals counted) by 57 % compared to the control. The improved efficiency of mixed CC was attributed to species complementarity in leaf and root patterns, resource utilization, and nutrient uptake. In conclusion, well-designed mixed CC had a greater positive impact on soil C inputs and suppression of SF compared to CC pure stand with ryegrass, resulting from complementary above and belowground traits.

", "keywords": ["0106 biological sciences", "Soil organic carbon", "Phyllodeposition", "CO labeling", "0401 agriculture", " forestry", " and fisheries", "Biodiversity", "04 agricultural and veterinary sciences", "Species mixtures", "Rhizodeposition", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geodrs.2024.e00879"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma%20Regional", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geodrs.2024.e00879", "name": "item", "description": "10.1016/j.geodrs.2024.e00879", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geodrs.2024.e00879"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-01T00:00:00Z"}}, {"id": "10.1016/j.jhazmat.2025.138291", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:17:00Z", "type": "Journal Article", "created": "2025-04-14", "title": "Occurrence, persistence and risk assessment of pesticide residues in European wheat fields: A continental scale approach", "description": "Pesticide residues in agricultural soils represent an environmental concern that requires special attention due to their potential ecological and public health risks. We analyzed 614 pesticides in 188 wheat fields across Europe subjected to both conventional and organic farming systems. At least one pesticide residue was detected in 141 soils. Seventy-eight pesticides or their metabolites were detected. The presence of pesticides was significantly higher in both number and concentration in conventional fileds (up to 0.98\u202fmg\u202fkg-1) compared to organically managed sites (up to 0.40\u202fmg\u202fkg-1). A total of 88\u202f% of conventional fields and 63\u202f% of organic fields contained two or more pesticides. Conversion from conventional to organic farming does not guarantee that soils will be pesticide-free in the short term. Fenbutatin oxide was the most frequently detected pesticide in both farming systems, followed by AMPA. Other substances, such as boscalid, epoxiconazole, diflufenican, tebuconazole, dinoterb, bixafen, and DEET, were found in \u2265\u202f10\u202f% of samples. Some Persistent Organic Pollutants, including dieldrin, endosulfan sulphate, and chlorpyrifos, were also detected. Ecological risks were higher in conventionally managed fields, with 46\u202f% exhibiting high-risk levels, compared to just 1\u202f% in organic fields. Epoxiconazole and boscalid were the substances with the highest risk levels.", "keywords": ["Emerging contaminants", "2417 Biolog\u00eda Vegetal (Bot\u00e1nica)", "Agricultural soils", "Plant protection products (PPPs)", "3101 Agroqu\u00edmica", "Pesticide mixture", "Ecological risk assessment"]}, "links": [{"href": "https://doi.org/10.1016/j.jhazmat.2025.138291"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hazardous%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jhazmat.2025.138291", "name": "item", "description": "10.1016/j.jhazmat.2025.138291", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhazmat.2025.138291"}, {"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": "10.1016/j.scitotenv.2018.10.441", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:17:12Z", "type": "Journal Article", "created": "2018-11-06", "title": "Pesticide residues in European agricultural soils \u2013 A hidden reality unfolded", "description": "Pesticide use is a major foundation of the agricultural intensification observed over the last few decades. As a result, soil contamination by pesticide residues has become an issue of increasing concern due to some pesticides' high soil persistence and toxicity to non-target species. In this study, the distribution of 76 pesticide residues was evaluated in 317 agricultural topsoil samples from across the European Union. The soils were collected in 2015 and originated from 11 EU Member States and 6 main cropping systems. Over 80% of the tested soils contained pesticide residues (25% of samples had 1 residue, 58% of samples had mixtures of two or more residues), in a total of 166 different pesticide combinations. Glyphosate and its metabolite AMPA, DDTs (DDT and its metabolites) and the broad-spectrum fungicides boscalid, epoxiconazole and tebuconazole were the compounds most frequently found in soil samples and the compounds found at the highest concentrations. These compounds occasionally exceeded their predicted environmental concentrations in soil but were below the respective toxic endpoints for standard in-soil organisms. Maximum individual pesticide content assessed in a soil sample was 2.05\u202fmg\u202fkg-1 while maximum total pesticide content was 2.87\u202fmg\u202fkg-1. This study reveals that the presence of mixtures of pesticide residues in soils are the rule rather than the exception, indicating that environmental risk assessment procedures should be adapted accordingly to minimize related risks to soil life and beyond. This information can be used to implement monitoring programs for pesticide residues in soil and to trigger toxicity assessments of mixtures of pesticide residues on a wider range of soil species in order to perform more comprehensive and accurate risk assessments.", "keywords": ["2. Zero hunger", "Mixtures of pesticide residues", "Predicted environmental concentrations in soil (PECs)", "13. Climate action", "Agricultural soils", "European Union", "15. Life on land", "01 natural sciences", "6. Clean water", "Risk assessment", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2018.10.441"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2018.10.441", "name": "item", "description": "10.1016/j.scitotenv.2018.10.441", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2018.10.441"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2018.03.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:17:29Z", "type": "Journal Article", "created": "2018-03-12", "title": "Forbs Differentially Affect Soil Microbial Community Composition And Functions In Unfertilized Ryegrass-Red Clover Leys", "description": "Increasing plant diversity in agroecosystems is proposed to enhance multiple ecosystem services. Adding selected forbs such as caraway (Carum carvi L.) and plantain (Plantago lanceolata L.) to productive grass-clover mixtures can further enhance forage yields, root biomass, uptake of mineral nutrients and improve animal performance. Yet, it remains unclear whether and how adding these forbs to grass-clover mixtures can influence soil microbial communities and associated soil carbon (C) and nitrogen (N) cycling. Based on a three-year grassland experiment varying in species diversity and composition with and without fertilizer application, we determined soil microbial community composition and functions related to C and N cycling under laboratory incubations. Results showed that inclusion of caraway modified soil microbial community composition by enhancing fungal-to-bacterial phospholipid fatty acids of the ryegrass-red clover mixture. Adding plantain to the ryegrass-red clover mixture increased the relative decomposition rate of the labile C pool, but not of the recalcitrant C pool. Yet, \u03b2-glucosidase activity and net N mineralization were unchanged due to inclusion of either forb. Moreover, fertilization with cattle slurry generally weakened these forb-induced changes in soil microbial properties. These findings demonstrate that adding selected forbs to unfertilized grass-clover leys can modify soil microbial community composition and associated C and N cycling, implying a potential for promoting long-term soil C sequestration through enhanced fungi-to-bacteria ratio, but a limited role in improving soil N fertility.", "keywords": ["2. Zero hunger", "Nitrogen mineralization", "Crop combinations and interactions", "Nutrient turnover", "Fertilization", "Soil carbon dynamics", "Caraway", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Plantain", "Forage mixtures"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2018.03.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2018.03.008", "name": "item", "description": "10.1016/j.soilbio.2018.03.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2018.03.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-01T00:00:00Z"}}, {"id": "10.1016/j.still.2022.105397", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:17:47Z", "type": "Journal Article", "created": "2022-04-16", "title": "Biomass yield, yield stability and soil carbon and nitrogen content under cropping systems destined for biorefineries", "description": "

Sustainable agriculture should aim to increase biomass yield and yield stability, while protecting soil carbon (C) and nitrogen (N) content. However, few studies have concurrently explored changes in biomass yield, yield stability and soil C and N content under different cropping systems targeting biorefinery. In this study, 10 different cropping systems were simultaneously investigated from 2012 to 2017 in central Denmark on a loamy sand soil, including (1) two continuous monocultures of annual crops, (2) one optimized crop rotation, (3) five intensively fertilized perennial grasses, and (4) two grass-legume mixtures without nitrogen (N) fertilization. Our results showed that biomass yield and yield stability differed highly across the cropping systems, highlighting crop-specific characteristics. Of the 10 cropping systems, tall fescue significantly increased soil C and N content at 0\u201320 cm depth, while sustaining high biomass yield and yield stability. There was no clear relationship between biomass yield, yield stability and changes in soil C and N content, challenging some recent findings on the conflicts between increasing biomass yield and protecting soil C and N content. Indeed, the lack of relationships suggest that there is considerable potential to increase biomass yield and yield stability without compromising soil C and N content through selecting proper cropping systems and managements. Altogether, our results underscore how crop-specific documentation of biomass yield, yield stability and changes in soil C and N content on the same experimental platform can advance the understanding of sustainable agriculture for biorefineries, although long-term continuous observations are still required to better clarify the relations between them.

", "keywords": ["2. Zero hunger", "0106 biological sciences", "Optimized crop rotation", "Climate mitigation", "Sustainable agriculture", "Aboveground biomass", "04 agricultural and veterinary sciences", "15. Life on land", "Diversified cropping systems", "01 natural sciences", "12. Responsible consumption", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Grass legume mixture", "Perennial grass", "Conventional agriculture"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2022.105397"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2022.105397", "name": "item", "description": "10.1016/j.still.2022.105397", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2022.105397"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-01T00:00:00Z"}}, {"id": "10.1111/1365-2664.13489", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-07-27T16:19:17Z", "type": "Journal Article", "created": "2019-08-19", "title": "Plant trait\u2010based approaches to improve nitrogen cycling in agroecosystems", "description": "Abstract

Intensive agriculture is dominated by monocultures of high\uffe2\uff80\uff90yielding plants that receive large applications of nitrogen (N) fertilizers to boost plant productivity. However, these systems have low N use efficiency (NUE) as fertilized plants generally take up less than half of the N applied. A large fraction of the remainder N is susceptible to be lost from the agroecosystem generating a cascade of environmental and socio\uffe2\uff80\uff90economic problems. Climate change and projected global increases in fertilizer use pose further risks to N losses and yield stability.

We review and translate concepts from ecology in natural systems to demonstrate that NUE in intensive agroecosystems can be strongly increased by fine\uffe2\uff80\uff90tuning the traits of the plant communities to the levels of N fertilization intensity.

We present key plant traits of importance for N\uffe2\uff80\uff90cycling (architectural, morphological and physiological traits, as well as symbiotic associations and exudation patterns); discuss ecological (with soil fauna and N\uffe2\uff80\uff90cycling microbial communities) and agronomic interactions of this approach; propose interdisciplinary methodologies for future research ranging from pot to global scales; and highlight possible solutions leading to an optimal balance between N fertilizer use and productivity.

Synthesis and applications. By showing the strong links between plant traits and nitrogen (N) cycling, our work opens possibilities to test ecologically informed hypotheses across gradients of soil fertility and N fertilizer management intensity, setting a research agenda for the coming years. Accordingly, the choice of plant species based on their functional traits will play a central role for the development of modern and productive agroecosystems that retain and use N more efficiently.

As a consequence of land\uffe2\uff80\uff90use change and the burning of fossil fuels, atmospheric concentrations of CO2 are increasing and altering the dynamics of the carbon cycle in forest ecosystems. In a number of studies using single tree species, fine root biomass has been shown to be strongly increased by elevated CO2. However, natural forests are often intimate mixtures of a number of co\uffe2\uff80\uff90occurring species. To investigate the interaction between tree mixture and elevated CO2, Alnus glutinosa, Betula pendula and Fagus sylvatica were planted in areas of single species and a three species polyculture in a free\uffe2\uff80\uff90air CO2 enrichment study (BangorFACE). The trees were exposed to ambient or elevated CO2 (580\uffc2\uffa0\uffce\uffbcmol\uffc2\uffa0mol\uffe2\uff88\uff921) for 4\uffc2\uffa0years. Fine and coarse root biomass, together with fine root turnover and fine root morphological characteristics were measured. Fine root biomass and morphology responded differentially to the elevated CO2 at different soil depths in the three species when grown in monocultures. In polyculture, a greater response to elevated CO2 was observed in coarse roots to a depth of 20\uffc2\uffa0cm, and fine root area index to a depth of 30\uffc2\uffa0cm. Total fine root biomass was positively affected by elevated CO2 at the end of the experiment, but not by species diversity. Our data suggest that existing biogeochemical cycling models parameterized with data from species grown in monoculture may be underestimating the belowground response to global change.

", "keywords": ["0106 biological sciences", "570", "fine roots", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "Plant Roots", "01 natural sciences", "free-air CO2 enrichment", "Trees", "mixture", "Polyculture", "Temperate forest", "monoculture", "Species Specificity", "13. Climate action", "temperate forest", "Mixture", "Monoculture", "polyculture", "0401 agriculture", " forestry", " and fisheries", "Free-air CO2 enrichment", "Fine roots", "Biomass"]}, "links": [{"href": "https://doi.org/10.1111/gcb.12039"}, {"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.12039", "name": "item", "description": "10.1111/gcb.12039", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.12039"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-11-01T00:00:00Z"}}, {"id": "10.2139/ssrn.4210928", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:21:13Z", "type": "Journal Article", "created": "2022-09-07", "title": "Field Evaluation of Selected Autochthonous Herbaceous Species for Cover Crops in Mediterranean Woody Crops", "description": "Open AccessPeer reviewed", "keywords": ["0106 biological sciences", "2. Zero hunger", "Phenology", "Ground cover", "Aerial biomass", "0401 agriculture", " forestry", " and fisheries", "Key plant traits", "04 agricultural and veterinary sciences", "Fine root", "15. Life on land", "Cover crop mixtures", "01 natural sciences"], "contacts": [{"organization": "Soriano, Mar\u00eda-Auxiliadora, Cabezas, Jos\u00e9 Manuel, G\u00f3mez, Jos\u00e9 Alfonso,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.2139/ssrn.4210928"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SSRN%20Electronic%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2139/ssrn.4210928", "name": "item", "description": "10.2139/ssrn.4210928", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.4210928"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.24072/pcjournal.537", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:21:23Z", "type": "Journal Article", "created": "2024-01-23", "title": "Evaluating the Effects of Environmental Disturbances and Pesticide Mixtures on N-cycle related Soil Microbial Endpoints", "description": "ABSTRACT

Pesticides are widely used in conventional agriculture, either applied separately or in combination during the culture cycle. Due to their occurrence and persistence in soils, pesticide residues may have an impact on soil microbial communities and on supported ecosystem services. In this regard, the EFSA (European Food Safety Authority) recently published a scientific opinion inciting to change pesticide risk assessment to better protect soil microbe-mediated processes. Climate change is another major concern for all living organisms including soil microbial community stability. Extreme climatic events, such as heat waves or heavy rainfalls, are becoming more and more frequent and their impact on soil microbial diversity and functions have already been demonstrated.

The objectives of this study were to evaluate the effects of temperature and humidity disturbances and pesticide active ingredients exposure on soil microbial community structure and functions. To this end, 250 soil microcosms were exposed to either a heat disturbance, a high humidity to mimic heavy rain, or no environmental disturbance. After three days of recovery, soil microcosms were treated with different active ingredients: clopyralid (herbicide), cypermethrin (insecticide) and pyraclostrobin (fungicide). The treatments were applied alone or in combination at 1x or 10x of the agronomical dose. We then evaluated the effects of the disturbances and the active ingredients on various microbial endpoints related to the diversity and the structure of soil microbial communities, and with a specific focus on microbial guilds involved in nitrification.

Overall, we demonstrated that the impact of environmental disturbances applied to soil microcosms, especially heat, on microbial endpoints was stronger than that of the active ingredients applied alone or in combinations. Compounded effects of environmental disturbances and active ingredients were detected, but sparsely and were of small scale for the chosen pesticides and applied doses.

We present a simple modeling technique based on linear spectral mixture analysis to assess satellite detectability of sub-pixel burned area. Pixel observations are modeled using a linear combination of pure land covers, called endmembers. We executed an experiment using spectral data from Yellowstone National Park, USA. Using endmember samples from spectral libraries, pixel samples were assessed on burn detectability using the widely used differenced Normalized Burn Ratio (dNBR). While individual samples yielded differing results for Landsat 8, Sentinel-2, and the Moderate Resolution Imaging Spectroradiometer (MODIS), the average park-wide detectability of burned area was consistent across satellites. For the commonly used dNBR threshold of 0.15, the results indicated that detectability is reached when around a quarter of a pixel\u2019s area is burned. However, a significant percentage of the modeled burned pixels remained undetectable, especially those with low pre-fire vegetation cover. This has consequences for burned area estimates, as smaller fires in sparsely vegetated terrain may remain undetected in moderate resolution burned area products.

", "keywords": ["13. Climate action", "Science", "Q", "burned area detection", "0401 agriculture", " forestry", " and fisheries", "burned area detection; differenced Normalized Burn Ratio; spectral mixture analysis; Yellowstone National Park", "04 agricultural and veterinary sciences", "Yellowstone National Park", "15. Life on land", "spectral mixture analysis", "differenced Normalized Burn Ratio"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/9/2075/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/9/2075/pdf"}, {"href": "https://doi.org/10.3390/rs14092075"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs14092075", "name": "item", "description": "10.3390/rs14092075", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs14092075"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-26T00:00:00Z"}}, {"id": "10.3390/su13073732", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:22:03Z", "type": "Journal Article", "created": "2021-03-26", "title": "The Optimisation Analysis of Sand-Clay Mixtures Stabilised with Xanthan Gum Biopolymers", "description": "

Sand\uffe2\uff80\uff93clay mixtures can be encountered in both natural soils (e.g., residual soils, clay deposits and clinosols) and artificial fills. The method of utilising biopolymers in ground improvement for sand\uffe2\uff80\uff93clay mixtures has emerged recently. However, a full understanding of the strengthening effect of biopolymer-treated sand\uffe2\uff80\uff93clay mixtures has not yet been achieved due to a limited number of relevant studies. In this study, xanthan gum (XG), as one of the eco-friendly biopolymers, was used to treat reconstituted sand\uffe2\uff80\uff93clay mixtures that had various compositions in related to clay (or sand) content and clay type (kaolin and bentonite). A series of laboratory unconfined compression strength (UCS) tests were conducted to probe the performances of XG-treated sand\uffe2\uff80\uff93clay mixtures from two aspects, i.e., optimum treatment conditions (e.g., XG content and initial moisture content) to achieve the maximum strengthening effect and strengthening efficiency for the sand\uffe2\uff80\uff93clay mixtures with different compositions. The experimental results indicated that the optimum initial moisture content decreased as the sand content increased. The optimum XG content, which also decreased with the increasing sand content, remained approximately 3.75% for all sand\uffe2\uff80\uff93kaolin mixtures and 5.75% for all sand\uffe2\uff80\uff93bentonite mixtures if calculated based on clay fraction. While untreated sand\uffe2\uff80\uff93kaolin mixtures and sand\uffe2\uff80\uff93bentonite mixtures had comparable UCS values, XG-treated sand\uffe2\uff80\uff93kaolin mixtures seemed to have better improved mechanical strength due to higher ionic (or hydrogen) bonds with XG and low-swelling properties compared with bentonite. The deformation modulus of XG-treated sand\uffe2\uff80\uff93clay mixtures were positively related with UCS. The variation in UCS and stiffness for each treatment condition increased as the sand content was elevated for both sand-kaolin and sand-bentonite mixtures. An increment in the proportion of the heterogeneous composite formed by irregular sand particles conglomerated with the XG\uffe2\uff80\uff93clay matrix in total soil might be responsible for this phenomenon.

", "keywords": ["Civil and Environmental Engineering", "TP", "initial moisture content", "engrXiv|Engineering|Civil and Environmental Engineering|Civil Engineering", "bepress|Engineering", "bentonite", "xanthan gum", "QK", "TN", "0211 other engineering and technologies", "sand-clay mixture", "02 engineering and technology", "uniaxial compressive strength tests", "bepress|Engineering|Civil and Environmental Engineering|Civil Engineering", "Civil Engineering", "6. Clean water", "Engineering", "engrXiv|Engineering", "TA", "bepress|Engineering|Civil and Environmental Engineering", "engrXiv|Engineering|Civil and Environmental Engineering", "QE", "kaolin", "biopolymer content"], "contacts": [{"organization": "Geng, Xueyu, Ma, Lei, Hao, Gang-Lai, Ni, Jing, Chen, Jia-Qi,", "roles": ["creator"]}]}, "links": [{"href": "http://wrap.warwick.ac.uk/150469/7/WRAP-Optimisation-analysis-sand-clay-mixtures-stabilised-xanthan-gum-biopolymers-2021.pdf"}, {"href": "http://www.mdpi.com/2071-1050/13/7/3732/pdf"}, {"href": "https://www.mdpi.com/2071-1050/13/7/3732/pdf"}, {"href": "https://doi.org/10.3390/su13073732"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sustainability", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/su13073732", "name": "item", "description": "10.3390/su13073732", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/su13073732"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-26T00:00:00Z"}}, {"id": "10.3847/psj/ad6c3a", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:22:11Z", "type": "Journal Article", "created": "2024-12-20", "title": "Imaging Spectroscopy: Earth and Planetary Remote Sensing with the PSI Tetracorder and Expert Systems from Rovers to EMIT and Beyond", "description": "Abstract

A system for rapid analysis of spectroscopy data with emphasis on planetary surfaces, both imaging and single-spectrum data, is described. The system, called Tetracorder, is commanded by an expert system developed by expert spectroscopists. The Tetracorder and the expert system apply multiple algorithms to analyze a spectrum in segments, leveraging the advantages of each spectral region\uffe2\uff80\uff99s sensitivity to detecting different compounds, whether solid, liquid, or gas. The algorithms compare measured spectra to the spectral properties of materials in spectral libraries. The libraries include pure minerals, mineral mixtures that include areal mixtures, intimate mixtures, coatings, and molecular mixtures and other compounds such as organics, vegetation, liquids, and gases. Absorption bands of a particulate surface change shape with grain size, and shape changes are used in some cases to constrain grain size of each component in the surface. The different algorithm results are compared for each spectral region, and specific material composition and average grain size (when possible) are identified. The system is operational analyzing real-time data on a new generation of rovers for future planetary missions, as well as identifying materials using an imaging spectrometer on the International Space Station. Four abundance models are presented, each with increasing sophistication, that are computationally fast on imaging spectrometer data and use Tetracorder identifications to produce maps of mineral abundances. A fifth full radiative model that includes multilayer surfaces is presented but is computationally intensive. The system is open source and available on GitHub.A system for rapid analysis of spectroscopy data with emphasis on planetary surfaces, both imaging and single-spectrum data, is described. The system, called Tetracorder, is commanded by an expert system developed by expert spectroscopists. The Tetracorder and the expert system apply multiple algorithms to analyze a spectrum in segments, leveraging the advantages of each spectral region\uffe2\uff80\uff99s sensitivity to detecting different compounds, whether solid, liquid, or gas. The algorithms compare measured spectra to the spectral properties of materials in spectral libraries. The libraries include pure minerals, mineral mixtures that include areal mixtures, intimate mixtures, coatings, and molecular mixtures and other compounds such as organics, vegetation, liquids, and gases. Absorption bands of a particulate surface change shape with grain size, and shape changes are used in some cases to constrain grain size of each component in the surface. The different algorithm results are compared for each spectral region, and specific material composition and average grain size (when possible) are identified. The system is operational analyzing real-time data on a new generation of rovers for future planetary missions, as well as identifying materials using an imaging spectrometer on the International Space Station. Four abundance models are presented, each with increasing sophistication, that are computationally fast on imaging spectrometer data and use Tetracorder identifications to produce maps of mineral abundances. A fifth full radiative model that includes multilayer surfaces is presented but is computationally intensive. The system is open source and available on GitHub.

Intensive agriculture is dominated by monocultures of high\uffe2\uff80\uff90yielding plants that receive large applications of nitrogen (N) fertilizers to boost plant productivity. However, these systems have low N use efficiency (NUE) as fertilized plants generally take up less than half of the N applied. A large fraction of the remainder N is susceptible to be lost from the agroecosystem generating a cascade of environmental and socio\uffe2\uff80\uff90economic problems. Climate change and projected global increases in fertilizer use pose further risks to N losses and yield stability.

We review and translate concepts from ecology in natural systems to demonstrate that NUE in intensive agroecosystems can be strongly increased by fine\uffe2\uff80\uff90tuning the traits of the plant communities to the levels of N fertilization intensity.

We present key plant traits of importance for N\uffe2\uff80\uff90cycling (architectural, morphological and physiological traits, as well as symbiotic associations and exudation patterns); discuss ecological (with soil fauna and N\uffe2\uff80\uff90cycling microbial communities) and agronomic interactions of this approach; propose interdisciplinary methodologies for future research ranging from pot to global scales; and highlight possible solutions leading to an optimal balance between N fertilizer use and productivity.

Synthesis and applications. By showing the strong links between plant traits and nitrogen (N) cycling, our work opens possibilities to test ecologically informed hypotheses across gradients of soil fertility and N fertilizer management intensity, setting a research agenda for the coming years. Accordingly, the choice of plant species based on their functional traits will play a central role for the development of modern and productive agroecosystems that retain and use N more efficiently.

We present a simple modeling technique based on linear spectral mixture analysis to assess satellite detectability of sub-pixel burned area. Pixel observations are modeled using a linear combination of pure land covers, called endmembers. We executed an experiment using spectral data from Yellowstone National Park, USA. Using endmember samples from spectral libraries, pixel samples were assessed on burn detectability using the widely used differenced Normalized Burn Ratio (dNBR). While individual samples yielded differing results for Landsat 8, Sentinel-2, and the Moderate Resolution Imaging Spectroradiometer (MODIS), the average park-wide detectability of burned area was consistent across satellites. For the commonly used dNBR threshold of 0.15, the results indicated that detectability is reached when around a quarter of a pixel\u2019s area is burned. However, a significant percentage of the modeled burned pixels remained undetectable, especially those with low pre-fire vegetation cover. This has consequences for burned area estimates, as smaller fires in sparsely vegetated terrain may remain undetected in moderate resolution burned area products.

", "keywords": ["13. Climate action", "Science", "Q", "burned area detection", "0401 agriculture", " forestry", " and fisheries", "burned area detection; differenced Normalized Burn Ratio; spectral mixture analysis; Yellowstone National Park", "04 agricultural and veterinary sciences", "Yellowstone National Park", "15. Life on land", "spectral mixture analysis", "differenced Normalized Burn Ratio"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/9/2075/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/9/2075/pdf"}, {"href": "https://doi.org/1871.1/70b379b0-4a32-4b22-99c2-5b6047cdc86a"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1871.1/70b379b0-4a32-4b22-99c2-5b6047cdc86a", "name": "item", "description": "1871.1/70b379b0-4a32-4b22-99c2-5b6047cdc86a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/70b379b0-4a32-4b22-99c2-5b6047cdc86a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-26T00:00:00Z"}}, {"id": "2899646616", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-27T16:27:16Z", "type": "Journal Article", "created": "2018-11-06", "title": "Pesticide residues in European agricultural soils \u2013 A hidden reality unfolded", "description": "Pesticide use is a major foundation of the agricultural intensification observed over the last few decades. As a result, soil contamination by pesticide residues has become an issue of increasing concern due to some pesticides' high soil persistence and toxicity to non-target species. In this study, the distribution of 76 pesticide residues was evaluated in 317 agricultural topsoil samples from across the European Union. The soils were collected in 2015 and originated from 11 EU Member States and 6 main cropping systems. Over 80% of the tested soils contained pesticide residues (25% of samples had 1 residue, 58% of samples had mixtures of two or more residues), in a total of 166 different pesticide combinations. Glyphosate and its metabolite AMPA, DDTs (DDT and its metabolites) and the broad-spectrum fungicides boscalid, epoxiconazole and tebuconazole were the compounds most frequently found in soil samples and the compounds found at the highest concentrations. These compounds occasionally exceeded their predicted environmental concentrations in soil but were below the respective toxic endpoints for standard in-soil organisms. Maximum individual pesticide content assessed in a soil sample was 2.05\u202fmg\u202fkg-1 while maximum total pesticide content was 2.87\u202fmg\u202fkg-1. This study reveals that the presence of mixtures of pesticide residues in soils are the rule rather than the exception, indicating that environmental risk assessment procedures should be adapted accordingly to minimize related risks to soil life and beyond. This information can be used to implement monitoring programs for pesticide residues in soil and to trigger toxicity assessments of mixtures of pesticide residues on a wider range of soil species in order to perform more comprehensive and accurate risk assessments.", "keywords": ["2. Zero hunger", "Mixtures of pesticide residues", "Predicted environmental concentrations in soil (PECs)", "13. Climate action", "Agricultural soils", "European Union", "15. Life on land", "01 natural sciences", "6. Clean water", "Risk assessment", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/2899646616"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2899646616", "name": "item", "description": "2899646616", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2899646616"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-01T00:00:00Z"}}, {"id": "30759587", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-27T16:27:32Z", "type": "Journal Article", "created": "2018-11-06", "title": "Pesticide residues in European agricultural soils \u2013 A hidden reality unfolded", "description": "Pesticide use is a major foundation of the agricultural intensification observed over the last few decades. As a result, soil contamination by pesticide residues has become an issue of increasing concern due to some pesticides' high soil persistence and toxicity to non-target species. In this study, the distribution of 76 pesticide residues was evaluated in 317 agricultural topsoil samples from across the European Union. The soils were collected in 2015 and originated from 11 EU Member States and 6 main cropping systems. Over 80% of the tested soils contained pesticide residues (25% of samples had 1 residue, 58% of samples had mixtures of two or more residues), in a total of 166 different pesticide combinations. Glyphosate and its metabolite AMPA, DDTs (DDT and its metabolites) and the broad-spectrum fungicides boscalid, epoxiconazole and tebuconazole were the compounds most frequently found in soil samples and the compounds found at the highest concentrations. These compounds occasionally exceeded their predicted environmental concentrations in soil but were below the respective toxic endpoints for standard in-soil organisms. Maximum individual pesticide content assessed in a soil sample was 2.05\u202fmg\u202fkg-1 while maximum total pesticide content was 2.87\u202fmg\u202fkg-1. This study reveals that the presence of mixtures of pesticide residues in soils are the rule rather than the exception, indicating that environmental risk assessment procedures should be adapted accordingly to minimize related risks to soil life and beyond. This information can be used to implement monitoring programs for pesticide residues in soil and to trigger toxicity assessments of mixtures of pesticide residues on a wider range of soil species in order to perform more comprehensive and accurate risk assessments.", "keywords": ["2. Zero hunger", "Mixtures of pesticide residues", "Predicted environmental concentrations in soil (PECs)", "13. Climate action", "Agricultural soils", "European Union", "15. Life on land", "01 natural sciences", "6. Clean water", "Risk assessment", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/30759587"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "30759587", "name": "item", "description": "30759587", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/30759587"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-01T00:00:00Z"}}, {"id": "cee762f9-6697-4da3-acc7-17d06905e5da", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.79, 53.38], [13.79, 53.38], [13.79, 53.38], [13.79, 53.38], [13.79, 53.38]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "robotics"}, {"id": "topsoil"}, {"id": "erosion"}, {"id": "soil organic carbon"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "robotic chamber system"}, {"id": "multifactorial small plot experiment"}, {"id": "topsoil dilution by subsoil admixture"}, {"id": "CO2 exchange measurements"}, {"id": "soil erosion state"}, {"id": "soil organic carbon stock changes"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}, {"id": "Quillow"}, {"id": "Dedelow"}], "scheme": "individual"}], "license": "CC BY", "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-04-23", "type": "Dataset", "created": "2024-03-27", "language": "eng", "title": "Topsoil dilution by subsoil admixture had less impact on the SOC stock development than fertilizer form and soil erosion state - Plant analysis", "description": "This table contains analysis of plant contents.\n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-wae5-8137); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "robotics", "topsoil", "erosion", "soil organic carbon", "opendata", "robotic chamber system", "multifactorial small plot experiment", "topsoil dilution by subsoil admixture", "CO2 exchange measurements", "soil erosion state", "soil organic carbon stock changes", "Boden", "Germany", "Brandenburg", "Uckermark", "Quillow", "Dedelow"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Shrijana Vaidya", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "vaidyashriju@gmail.com"}], "addresses": [{"deliveryPoint": [null], 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-04-23", "type": "Dataset", "created": "2024-03-27", "language": "eng", "title": "Topsoil dilution by subsoil admixture had less impact on the SOC stock development than fertilizer form and soil erosion state", "description": "Current efforts to enhance the agroecosystems carbon (C) sink function for climate mitigation faced challenges, particularly with traditional measures having limited suitability for increasing soil organic carbon (SOC) stocks. One way out of this dilemma could be to create an additional stable soil C sink by inducing SOC under saturation in the topsoil. In the past, attempts were made by abrupt topsoil dilution through subsoil admixture by means of deep tillage but with varying degrees of success. This was partly due to a lack of knowledge about the impact of soil condition like erosion state and N fertilization form ensuring optimum C input into the soil on the desired additional SOC accumulation and partly due to the lack of suitable experimental approaches to record the effect of all relevant factors simultaneously. To help solve these problems, a three-factorial experimental field trial were established: I.) \"moderate topsoil dilution\" (diluted vs non-diluted), II.) \"N fertilization form\" (mineral, i.e., calcium ammonium nitrate and urea vs organic, i.e., digestate) and III.) \"soil types\" (Calcic Luvisol, Nudiargic Luvisol, and Calcaric Regosol) covering the typical range of erosion states in the hummocky ground moraine landscape of NE Germany. \nThis datasets contains weather data, NDVI/RVI measurements data , soil texture data, soil and plant analysis data, CO2 flux obtained using a novel robotic chamber system that were conducted from 23.07.2020 (after manipulation) - 29.06.2021 (Harvest).\n\nThis table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "robotics", "topsoil", "erosion", "soil organic carbon", "opendata", 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