{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.10959077", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:22:08Z", "type": "Dataset", "created": "2023-10-30", "title": "Knowledge gaps on trade-offs of soil carbon sequestration related to soil management strategies", "description": "The database contains 87 unique literature items (29 reviews, 42 meta-analyses, 16 original papers) describing the effect of a soil management strategy (tillage management, cropping systems, water management, cover crops, crop residues, livestock manure, slurry, compost, biochar, liming) on the trade-offs between soil carbon sequestration or SOC change and N2O emission, CH4 emission and nitrogen leaching. Since some literature items describe effects of several SMS categories, the database_summary tab comprises a total of 112 unique inputs. For each input it is indicated in the Database_summary tab if it was used as input for the 'Soil management effect assessment' in Maenhout et al. (2024) [Maenhout, P., Di Bene, C., Cayuela, M. L., Diaz-Pines, E., Govednik, A., Keuper, F., Mavsar, S., Mihelic, R., O'Toole, A., Schwarzmann, A., Suhadolc, M., Syp, A., & Valkama, E. (2024). Trade-offs and synergies of soil carbon sequestration: Addressing knowledge gaps related to soil management strategies. European Journal of Soil Science, 75(3), e13515. https://doi.org/10.1111/ejss.13515] and/or to define knowledge gaps ('Knowledge gap in tab'-column). Knowledge gaps and research recommendations are gouped per soil management strategy in different tabs in this database. Per soil management strategy, knowledge gaps are clustered per theme in groups. These themes include: the specific soil management strategy, pedoclimatic conditions, establishment of experiments, other soil management strategies, meta-analysis, modelling and other", "keywords": ["Water management", "EJP SOIL", "Climate change mitigation", "Nitrogen leaching", "CH4", "Conservation agriculture", "Cropping systems", "SOMMIT", "N2O", "Organic matter inputs", "Tillage"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10959077"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10959077", "name": "item", "description": "10.5281/zenodo.10959077", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10959077"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-13T00:00:00Z"}}, {"id": "10.1016/j.njas.2011.05.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:33Z", "type": "Journal Article", "created": "2011-06-27", "title": "Life Cycle Analysis Of Greenhouse Gas Emissions From Organic And Conventional Food Production Systems, With And Without Bio-Energy Options", "description": "AbstractThe Nafferton Factorial Systems Comparison experiments were begun in 2003 to provide data on the production and quality effects of a whole spectrum of different crop production systems ranging from fully conventional to fully organic. In this paper, the crop production data for the first 4 years of the experiments have been used to conduct a life cycle analysis of the greenhouse gas (GHG) emissions from organic and conventional production systems. Actual yield and field activity data from two of the treatments in the experiments (a stocked organic system and a stockless conventional system) were used to determine the GHG emissions per hectare and per MJ of human food energy produced, using both the farm gate and wider society as system boundaries. Emissions from these two baseline scenarios were compared with six other modelled scenarios: conventional stocked system, a stockless system where all crop residues were incorporated into the soil, two stocked systems where manure was used for biogas production, and two stockless systems where all crop residues were removed from the field and used for bio-energy production. Changing the system boundary from the farm gate to wider society did not substantially alter the GHG emissions per hectare of land when organic production methods were used; however, in conventional systems, which rely on more off-farm inputs, emissions were much greater per hectare when societal boundaries were used. Incorporating on-farm bioenergy production into the system allowed GHG emissions to be offset by energy generation. In the case of the organic system that included pyrolysis of crop residues, net GHG emissions were negative, indicating that energy offsets and sequestration of C in biochar can completely offset emissions of GHG from food production. The analysis demonstrates the importance of considering system boundaries and the end use of all agricultural products when conducting life cycle analyses of food production systems.", "keywords": ["2. Zero hunger", "Carbon sequestration", "Organic farming", "0211 other engineering and technologies", "Plant Science", "02 engineering and technology", "15. Life on land", "Development", "7. Clean energy", "6. Clean water", "12. Responsible consumption", "Mixed farming", "13. Climate action", "11. Sustainability", "Greenhouse gas emissions", "Crop production systems", "0202 electrical engineering", " electronic engineering", " information engineering", "Animal Science and Zoology", "Off-farm inputs", "Life cycle analysis", "Agronomy and Crop Science", "Food Science"]}, "links": [{"href": "https://doi.org/10.1016/j.njas.2011.05.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/NJAS%3A%20Wageningen%20Journal%20of%20Life%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.njas.2011.05.002", "name": "item", "description": "10.1016/j.njas.2011.05.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.njas.2011.05.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-12-01T00:00:00Z"}}, {"id": "10.1007/s11104-021-05101-w", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:14:53Z", "type": "Journal Article", "created": "2021-08-21", "title": "Short-term impact of crop diversification on soil carbon fluxes and balance in rainfed and irrigated woody cropping systems under semiarid Mediterranean conditions", "description": "Abstract                 Purpose                 <p>Diversification practices such as intercropping in woody cropping systems have recently been proposed as a promising management strategy for addressing problems related to soil degradation, climate change mitigation and food security. In this study, we assess the impact of several diversification practices in different management regimes on the main carbon fluxes regulating the soil carbon balance under semiarid Mediterranean conditions.</p>                                Methods                 <p>The study was conducted in two nearby cropping systems: (i) a low input rainfed almond (Prunus dulcis Mill.) orchard cultivated on terraces and (ii) a levelled intensively irrigated mandarin (Citrus reticulata Blanco) orchard with a street-ridge morphology. The almond trees were intercropped with Capparis spinosa or with Thymus hyemalis While the mandarin trees were intercropped with a mixture of barley and vetch followed by fava bean. Changes caused by crop diversifications on C inputs into the soil and C outputs from the soil were estimated.</p>                                Results                 <p>Crop diversification did not affect soil organic carbon stocks but did affect the carbon inputs and outputs regulating the soil carbon balance of above Mediterranean agroecosystems. Crop diversification with perennials in the low-input rainfed woody crop system significantly improved the annual soil C balance in the short-term. However, crop diversification with annual species in the intensively managed woody crop system had not effect on the annual soil C balance.</p>                                Conclusions                 <p>Our results highlight the potential of intercropping with perennials in rainfed woody crop systems for climate change mitigation through soil carbon sequestration.</p>", "keywords": ["2. Zero hunger", "Eroded carb\u00f3n", "Intercropping \u00b7 Agricultural practices \u00b7 Soil CO2 emissions \u00b7 Eroded carbon \u00b7 Plant carbon inputs \u00b7 Carbon cycle", "Intercropping \u00b7 Agricultural practices \u00b7  Soil CO2 emissions \u00b7 Eroded carbon \u00b7 Plant carbon  inputs \u00b7 Carbon cycle", "Soil CO2 emissions", "Carbon cycle", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "Plant carbon inputs", "Agricultural practices", "Intercropping", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s11104-021-05101-w.pdf"}, {"href": "https://doi.org/10.1007/s11104-021-05101-w"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-021-05101-w", "name": "item", "description": "10.1007/s11104-021-05101-w", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-021-05101-w"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-21T00:00:00Z"}}, {"id": "10.1007/s13165-020-00330-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:04Z", "type": "Journal Article", "created": "2020-10-07", "title": "Current use of copper, mineral oils and sulphur for plant protection in organic horticultural crops across 10 European countries", "description": "The use of several plant protection inputs of mineral origin, such as copper, sulphur or mineral oils is seen as contentious by many consumers and stakeholders within the organic sector. Although the use of these inputs is legal in organic systems and also applied in non-organic agriculture, their use by organic growers raises questions for organic practice, which aspires to be free from toxic, non-renewable chemicals. Data on the current use of permitted plant protection inputs is currently scarce, especially in horticulture where chemical inputs deserve special attention since horticultural products are often readily edible. A mapping of the use of copper, sulphur and mineral oils was conducted by collecting expert knowledge across 10 European countries during May\u2013October 2018, i.e. before the limitation of copper use to 4\u00a0kg\u00a0ha\u22121\u00a0year\u22121 from February 1, 2019. Results show that copper is widely used by Mediterranean organic growers in citrus, olive, tomato and potato production. The annual limit of 6\u00a0kg\u00a0ha\u22121\u00a0year\u22121 was not always respected. We also found that tomato producers apply high amounts of copper in winter crops in greenhouses. Mineral oils are applied to control scales, mites and whiteflies. Sulphur is also commonly used by organic vegetable growers, especially in greenhouses. We conclude that the high usage found in various different crops (especially Mediterranean crops) confirms the need for researching alternatives.", "keywords": ["[SDV.SA]Life Sciences [q-bio]/Agricultural sciences", "0106 biological sciences", "0301 basic medicine", "2. Zero hunger", "plant protection", "571", "Crop health", " quality", " protection", "Mediterranean crops", "Greenhouse crops", "tomato", "15. Life on land", "01 natural sciences", "[SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy", "Organic-PLUSX", "03 medical and health sciences", "13. Climate action", "Contentious inputs", "Vegetables", "FiBL60073", "Mediterranean crops", " Greenhouse crops", " Tomato", " Contentious inputs", " plant protection", "Abacus"]}, "links": [{"href": "https://www.iris.unict.it/bitstream/20.500.11769/494877/1/Katsoulas2020_Article_CurrentUseOfCopperMineralOilsA%20%282%29.pdf"}, {"href": "https://link.springer.com/content/pdf/10.1007/s13165-020-00330-2.pdf"}, {"href": "https://doi.org/10.1007/s13165-020-00330-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Organic%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s13165-020-00330-2", "name": "item", "description": "10.1007/s13165-020-00330-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s13165-020-00330-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-07T00:00:00Z"}}, {"id": "10.1016/j.dib.2024.111226", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:43Z", "type": "Journal Article", "created": "2024-12-11", "title": "A harmonized dataset relating alternative farmer management practices to crop yield, soil organic carbon stock, nitrous oxide emissions, and nitrate leaching generated using IPCC methodologies and meta-analyses", "description": "Farming practices such as soil tillage, organic/mineral fertilization, irrigation, crop selection and residues management influence multiple ecosystem services provided by agricultural systems. These practices exhibit complex, non-linear interrelationships that affect crop productivity, water quality, and non-carbon dioxide greenhouse gases (GHG) emissions, possibly offsetting their benefits regarding soil organic carbon (SOC) sequestration. Current methodologies from the Intergovernmental Panel on Climate Change (IPCC) for assessing the impacts of alternative farming practices on GHG emissions rely on global or country-specific coefficients. However, these methods often do not explicitly account for the combined effects of management practices on carbon and nitrogen cycles or productivity, as this is not required for national GHG inventories. Here we present a new dataset featuring 1.8 Mln of agronomic case scenarios, i.e., unique combinations of farming practices and pedoclimatic conditions, which have been associated with values of SOC changes, nitrous oxide emissions, nitrate-nitrogen leaching, and crop yield. To synthesize trade-offs and synergies between farming practices, each case scenario has been ranked with a \u2211ommit index (\u2211i) value, a fuzzy-based measure ranging from 0 (bad) to 1 (good). The four trade-off components have been estimated by combining available information from i) the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, ii) the guidelines for Green Water Footprint Accounting, iii) the Italian National Institute of Statistics, iv) and other international meta-analytic studies. The dataset presents four \u2211i series, corresponding to alternative perceptions of sustainability from three potential stakeholder categories (young farmers\u2019 cooperative, agrochemical company, public agricultural policy agency) plus one equally weighted option. By providing a harmonized data source and an innovative metric, this dataset allows users to explore trade-offs associated with alternative management practices across four key agricultural components and assess their impact on perceived agroecosystem sustainability.", "keywords": ["Soil management", "Crop choice", "Q1-390", "Science (General)", "Computer applications to medicine. Medical informatics", "Farming sustainability", "R858-859.7", "Organic matter inputs", "Greenhouse gases emissions", "Data Article"]}, "links": [{"href": "https://doi.org/10.1016/j.dib.2024.111226"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Data%20in%20Brief", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.dib.2024.111226", "name": "item", "description": "10.1016/j.dib.2024.111226", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.dib.2024.111226"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2016.06.035", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:18Z", "type": "Journal Article", "created": "2016-07-07", "title": "Cover Crops Prevent The Deleterious Effect Of Nitrogen Fertilisation On Bacterial Diversity By Maintaining The Carbon Content Of Ploughed Soil", "description": "Abstract   Synthetic nitrogen (N) fertilisers are widely used for enhancing agrosystem productivity and are thus thought to increase organic inputs from crop residues. However, many crop rotations have a low amount of organic residue returned to the soil since the whole aboveground crop biomass is harvested and exported. To compensate for such organic outputs and to improve soil quality, the introduction of winter cover crops in rotations has been suggested. A 4-year controlled field experiment was conducted to quantify the respective and combined effects of chemical N fertilisation and winter cover crops on plant productivity, organic carbon (C) and N inputs from crop residues and cover crops, changes in soil C and N concentrations, C:N ratio, soil mineral N, pH, soil moisture and soil bacterial biodiversity. A ploughing tillage system with low organic input was assessed, for which the main crops were spring wheat, green pea, forage maize, along with cover crops of different legume and non-legume species.  N fertilisation did not have an impact on the aboveground biomass except following forage maize. Cover crops increased the total amount of C and N inputs, irrespective of N fertilisation which had no significant effect. The soil N concentration decreased in all treatments, particularly when N fertilisers were applied under bare fallow conditions. The latter treatment also caused decreased soil C concentrations (slightly increased in the other treatments) and decreased bacterial biodiversity (no change in the other treatments). Bacteria from the Proteobacteria and Bacterioidetes phyla were highly correlated with soil from fertilised bare fallow conditions. While Verrucomicrobia was characteristic of non-fertilised bare fallow soils, Acidobacteria and Cyanobacteria were associated with the high C and N concentrations present in soils following cover crop treatments.  Taken together, these results demonstrate that in ploughing systems, under low organic restitution regimes, intensive N fertilisation decreases the diversity of the bacterial soil community and reduces soil C and N concentrations, but only in bare fallow conditions. There is a protective effect of winter cover crops against the deleterious effect of chemical N fertilisation on soil biodiversity and nutrient cycling, since they can maintain soil C and N concentrations. The use of winter cover crops containing legumes is thus a practice that is able to meet the criteria of a sustainable agriculture.", "keywords": ["2. Zero hunger", "Cover crops", "[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering", "[SDV]Life Sciences [q-bio]", "04 agricultural and veterinary sciences", "Soil nitrogen/carbon", "[SDV.IDA] Life Sciences [q-bio]/Food engineering", "15. Life on land", "01 natural sciences", "630", "6. Clean water", "Organic inputs", "[SDV] Life Sciences [q-bio]", "Crop productivity", "Nitrogen fertilisation", "[SDV.IDA]Life Sciences [q-bio]/Food engineering", "11. Sustainability", "[SDV.BV]Life Sciences [q-bio]/Vegetal Biology", "0401 agriculture", " forestry", " and fisheries", "[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering", "[SDV.BV] Life Sciences [q-bio]/Vegetal Biology", "Soil bacterial diversity", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2016.06.035"}, {"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": "10.1016/j.geoderma.2016.06.035", "name": "item", "description": "10.1016/j.geoderma.2016.06.035", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2016.06.035"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-11-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2020.107947", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:58Z", "type": "Journal Article", "created": "2020-08-15", "title": "Nitrogen inputs may improve soil biocrusts multifunctionality in dryland ecosystems", "description": "Open AccessSoil biocrusts (communities of cyanobacteria, algae, mosses, lichens, and heterotrophs living at the soil surface) are fundamental components of dryland ecosystems worldwide. There is increasing concern over the potential for increasing nitrogen (N) inputs to affect biocrusts. This is of special concern in Mediterranean Basin drylands that face the threat of increased N inputs however, the effect on biocrusts remains poorly studied. We evaluated the potential effects of increased N inputs on biocrust structure and functioning in surrounding Mediterranean shrublands in the seventh year of a N-manipulation field experiment. We tracked the N-driven changes in biotope (changes in bare soil and in the non-legume and the legume occupation areas, and the percentage of radiation intercepted by plant canopies), evaluated biocrust functional traits (based on pigments) and measured biocrust functioning in terms of C and N cycling, soil fertility (macro and micronutrients) and biodiversity, and integrated these multiple soil functions simultaneously (i.e. soil multifunctionality) Biocrust pigment concentration was significantly influenced by both plant legacy and N input. Biocrust pigments revealed a clear functional shift from: i) biocrusts dominated by photosynthetically inactive cyanobacteria that fix N and are mostly committed to photoprotection at the expense of N-containing pigments under low N inputs; into ii) biocrusts more evenly composed of prokaryotes and eukaryotes, which are more photosynthetically active, but less committed to photoprotection and N fixation under exposure to increased N inputs. The N-driven functional and structural changes in biocrusts resulted in trade-offs in biocrust functioning and processes (only N fixation was affected) and an overall improvement in biocrust multifunctionality. By itself, biocrust pigment evenness accounted for ~50% of the observed variation in biocrust multifunctionality. The biocrust pigment functional approach we adopted to study the effects of increased N inputs from patchy developed anthropogenic landscapes provides novel and critical knowledge of biocrusts community and functioning, which may be used as a tool in biodiversity conservation strategies, ecosystem functions and ecological modelling.", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "03 medical and health sciences", "Biocrust functioning", "13. Climate action", "Plant species legacy", "Biological soil crusts", "Biocrust pigments", "15. Life on land", "Increased N inputs", "Pigment functional traits"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2020.107947"}, {"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.2020.107947", "name": "item", "description": "10.1016/j.soilbio.2020.107947", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2020.107947"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2024.109342", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:58Z", "type": "Journal Article", "created": "2024-03-08", "title": "Liming effects on microbial carbon use efficiency and its potential consequences for soil organic carbon stocks", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The allocation of metabolised carbon (C) between soil microbial growth and respiration, i.e. C use efficiency (CUE) is crucial for SOC dynamics. The pH was shown to be a major driver of microbial CUE in agricultural soils and therefore, management practices to control soil pH, such as liming, could serve as a tool to modify microbial physiology. We hypothesised that raising soil pH would alleviate CUE-limiting conditions and that liming could thus increase CUE, thereby supporting SOC accrual. This study investigated whether CUE can be manipulated by liming and how this might contribute to SOC stock changes. The effects of liming on CUE, microbial biomass C, abundance of microbial domains, SOC stocks and OC inputs were assessed for soils from three European long-term field experiments. Field control soils were additionally limed in the laboratory to assess immediate effects, accounting for lime-derived CO2 emissions (&amp;#948;13C signature). The shift in soil pHH2O from 4.5 to 7.3 with long-term liming reduced CUE by 40%, whereas the shift from 5.5 to 8.6 and from 6.5 to 7.8 was associated with increases in CUE by 16% and 24%, respectively. The overall relationship between CUE and soil pH followed a U-shaped (i.e. quadratic) curve, implying that in agricultural soils CUE may be lowest at pHH2O&amp;#160;=&amp;#160;6.4. The immediate CUE response to liming followed the same trends. Interestingly, liming increased microbial biomass C in all cases. Changes in CUE with long-term liming contributed to the net effect of liming on SOC stocks. Our study confirms the value of liming as a management practice for climate-smart agriculture, but demonstrates that it remains difficult to predict the impact on SOC stocks due its complex effects on the C cycle.</p></article>", "keywords": ["[SDE] Environmental Sciences", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Isotopic labelling", "Organic C inputs", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "Agricultural soil", "630", "Climate change mitigation", "03 medical and health sciences", "Long-term field experiment (LTE)", "13. Climate action", "[SDE]Environmental Sciences", "Microbial soil carbon", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2024.109342"}, {"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.2024.109342", "name": "item", "description": "10.1016/j.soilbio.2024.109342", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2024.109342"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-01T00:00:00Z"}}, {"id": "10.5281/zenodo.10137003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:53Z", "type": "Dataset", "title": "Liming effects on microbial carbon use efficiency and its potential consequences for soil organic carbon stocks", "description": "This repository contains all necessary raw data as well as the R code used to conduct statistical analysis and create figures of the publication  \u00a0  Liming effects on microbial carbon use efficiency and its potential consequences for soil organic carbon stocks  Julia Schroeder1, Claudia D\u01cem\u01cet\u00eerc\u01ce2,6, Tobias B\u00f6lscher3, Claire Chenu3, Lars Elsgaard4, Christoph C. Tebbe5, Laura Skadell1, Christopher Poeplau1  1 Th\u00fcnen Institute of Climate-Smart Agriculture, Bundesallee 68, 38116 Braunschweig, Germany  2 University of Turin, Department of Agricultural, Forest and Food Sciences, Largo Paolo Braccini 2, 10095 Grugliasco TO, Italy  3 Universit\u00e9 Paris-Saclay, INRAE, AgroParisTech, UMR EcoSys, 22 place de l'Agronomie, 91120 Palaiseau, France  4 Aarhus University, Department of Agroecology, Blichers All\u00e9 20, 8830 Tjele, Denmark  5 Th\u00fcnen Institute of Biodiversity, Bundesallee 65, 38116 Braunschweig, Germany  6\u00a0current address: Euro-Mediterranean Center on Climate Change (CMCC) Foundation, Division on Climate Change Impacts on Agriculture, Forests and Ecosystem Services (IAFES), Via Igino Garbini 51, 01100 Viterbo, Italy  DOI:\u00a0\u00a0 10.1016/j.soilbio.2024.109342  In this study, we set out to test the potential of liming as means to control the microbial carobn use efficiency (CUE). We assessed CUE using the 18O-labelling method for soils from three European long-term liming field trials (i.e. Jyndevad, Versailles, and D\u00fcrnast). Additionally, the immediate response of CUE to liming in the lab was tested accounting for lime-derived CO2 emission. The lime-induced pH shift was a strong determinant of CUE. However, the relationship between CUE and soil pH followed a U-shaped (i.e. quadratic) curve, suggesting that CUE may be lowest at near neutral soil pH and therefore to interfere with agronomic interests (i.e. high crop yield). To assess the potential contribution of CUE on the net liming effect on SOC stocks, we calculated OC inputs and SOC stocks. Liming had a positive effect on SOC stocks, regardless of the change in CUE. Our results suggest that CUE added to the net liming effect on SOC stocks.\u00a0  Statistical analyses and data visualisation were conducted in R v4.1.2 (2021-11-01) (R Core Team, 2020) using RStudio\u00a0v2022.12.0 (Posit team, 2022).\u00a0  The repository includes the following files:    liming_sample_data_R.csv - 18O-CUE data and measured pH for DK, DA, VB and DL (n=43)  site_info_R.csv - C, N, bulk density and pH data shared by co-authors for DK, DA and VB (n=32)  yield_R.csv - yield data shared by co-authors for DK, DA and VB (n=236)  CO2sources_R.csv - long-formatted data for CO2 source differentiation in the direct liming experiment (n=66)  C_input_allocation_factors_R.csv - allocation factors to crop types (Jacobs et al. 2020, https://doi.org/10.1007/s10705-020-10087-5 )   \u00a0    Schroeder_et_al._liming_effect_on_CUE.Rproj - Rproject (load project to work on provided scripts and data)  load_data.R - loads required data  liming_on_soil_pH.R -\u00a0 statistical analysis liming effect on soil pH, creates output for Table 1 (additional figure effect liming on soil pH)  liming_on_CUE.R - statistical analysis liming effect on CUE, creates output for Tables 2, S1 and S2  liming_on_CmicCorg.R - statistical analysis liming effect on Cmic/Corg (laboratory liming excluded), creates output for Table 3  liming_on_microbial_params.R - statistical analysis liming effect on Cmic, Cgrowth, Crespiration (all treatments), creates output for Tables S1 and S2  liming_on_abundances.R - statistical analysis liming effect on microbial abundances (fungi, bacteria, archaea), creates output for Tables S1 and S2  liming_on_K2SO4extrC.R - statistical analysis liming effect on K2SO4 extractable C as proxy for DOC, creates output for Table S3 and Figure S1  z-tranformation_best_fit.R - tests different models to find best fit of z-transformed data over pH  calculation_C_stocks.R - test on treatment differences in bulk density, calculation of SOC stocks, creates output for Table S4 and Figure 7  calculation_C_input.R - calculation of C inputs based on yield_R.csv data and C_input_allocation_factors_R.csv, output Figure S3 and Table S5  calculation_SOC_formation_efficiency.R - calculation of SOC formation efficiency based on estimated marginal mean difference of C stocks and inputs, script requires calculation_C_stocks.R and calculation_C_inputs.R to be run beforehand  plot_figures.R - plots Figures 2, 3, 4, 5 ,6, and Figures S2 and S4  plot_Figure8_radar_chart.R - plots Figure 8   \u00a0    calculation_maximum_relative_error_respiration_rate_estimates.xlsx - Output data from Visual MINTEQ secnarios plus calculation for error estimation", "keywords": ["microbial soil carbon", "agricultural soil", "isotopic labelling", "long-term field experiment (LTE)", "organic C inputs", "climate change mitigation"], "contacts": [{"organization": "Schroeder, Julia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10137003"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10137003", "name": "item", "description": "10.5281/zenodo.10137003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10137003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-31T00:00:00Z"}}, {"id": "10.1111/ejss.13488", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:35Z", "type": "Journal Article", "title": "Effectiveness of soil management strategies for mitigation of N 2 O emissions in European arable land: A meta\u2010analysis", "description": "Soil management strategies involving the application of organic matter (OM) inputs (crop residues, green and livestock manure, slurry, digestate, compost and biochar) can increase soil carbon storage but simultaneously lead to an increase in non-CO2 greenhouse gas (GHG) emissions such as N2O. Although multiple meta-analyses have been conducted on the topic of OM input impacts on GHG, none has focused specifically on European arable soils. This study plugs this gap and can assist policymakers in steering European agriculture in a more sustainable direction. The objective of this meta-analysis was to quantify how OM inputs of different nature and quality, but also the application strategy, can mitigate soil N2O emissions in different pedoclimatic conditions in Europe. We quantitatively synthesised the results of over 50 field experiments conducted in 15 European countries. Diverse arable crops, mainly cereals, were cultivated in monoculture or in crop rotations on mineral soils. Cumulative N2O emissions were monitored during periods of 30\u20131070 days in treatments, which received OM inputs, alone or in combination with mineral N fertiliser; and in controls fertilised with mineral N. The overall effect of OM inputs had a slight tendency to reduce N2O emissions by 10% (n = 53). With the increasing carbon-to-nitrogen ratio of the OM inputs, this mitigation effect became more pronounced. In particular, compost and biochar significantly reduced N2O emissions by 25% (n = 6) and 33% (n = 8) respectively. However, their effect strongly depended on pedoclimatic characteristics. Regarding the other types of OM inputs studied, a slight N2O emission reduction can be achieved by their application alone, without mineral N fertiliser (by 16%, n = 17). In contrast, their co-application with mineral N fertiliser elevated emissions to some extent compared to the control (by 14%, n = 22). We conclude that amongst the seven OM inputs studied, the application of compost and biochar are the most promising soil management practices, ...", "keywords": ["nitrous oxide", "effect size", "EJPSOIL", "organic matter inputs", "pedoclimatic characteristics", "630", "climate change mitigation"], "contacts": [{"organization": "Valkama, Elena, Tzemi, Domna, Esparza\u2010Robles, Ulises Ramon, Syp, Alina, O'Toole, Adam, Maenhout, Peter,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1111/ejss.13488"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ejss.13488", "name": "item", "description": "10.1111/ejss.13488", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.13488"}, {"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": "10.1111/ejss.13515", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:35Z", "type": "Journal Article", "created": "2024-06-07", "title": "Trade\u2010offs and synergies of soil carbon sequestration: Addressing knowledge gaps related to soil management strategies", "description": "Abstract<p>Soil organic carbon (SOC) sequestration in agricultural soils is an important tool for climate change mitigation within the EU soil strategy for 2030 and can be achieved via the adoption of soil management strategies (SMS). These strategies may induce synergistic effects by simultaneously reducing greenhouse gas (GHG) emissions and/or nitrogen (N) leaching. In contrast, other SMS may stimulate emissions of GHG such as nitrous oxide (N2O) or methane (CH4), offsetting the climate change mitigation gained via SOC sequestration. Despite the importance of understanding trade\uffe2\uff80\uff90offs and synergies for selecting sustainable SMS for European agriculture, knowledge on these effects remains limited. This review synthesizes existing knowledge, identifies knowledge gaps and provides research recommendations on trade\uffe2\uff80\uff90offs and synergies between SOC sequestration or SOC accrual, non\uffe2\uff80\uff90CO2 GHG emissions and N leaching related to selected SMS. We investigated 87 peer\uffe2\uff80\uff90reviewed articles that address SMS and categorized them under tillage management, cropping systems, water management and fertilization and organic matter (OM) inputs. SMS, such as conservation tillage, adapted crop rotations, adapted water management, OM inputs by cover crops (CC), organic amendments (OA) and biochar, contribute to increase SOC stocks and reduce N leaching. Adoption of leguminous CC or specific cropping systems and adapted water management tend to create trade\uffe2\uff80\uff90offs by stimulating N2O emissions, while specific cropping systems or application of biochar can mitigate N2O emissions. The effect of crop residues on N2O emissions depends strongly on their C/N ratio. Organic agriculture and agroforestry clearly mitigate CH4 emissions but the impact of other SMS requires additional study. More experimental research is needed to study the impact of both the pedoclimatic conditions and the long\uffe2\uff80\uff90term dynamics of trade\uffe2\uff80\uff90offs and synergies. Researchers should simultaneously assess the impact of (multiple) agricultural SMS on SOC stocks, GHG emissions and N leaching. This review provides guidance to policymakers as well as a framework to design field experiments and model simulations, which can address knowledge gaps and non\uffe2\uff80\uff90intentional effects of applying agricultural SMS meant to increase SOC sequestration.</p", "keywords": ["CH4", "330", "N2O", "cropping systems", "organic matter inputs", "04 agricultural and veterinary sciences", "01 natural sciences", "630", "climate change mitigation", "conservation agriculture", "EJPSOIL", "water management", "tillage", "0401 agriculture", " forestry", " and fisheries", "nitrogen leaching", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/ejss.13515"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/ejss.13515", "name": "item", "description": "10.1111/ejss.13515", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/ejss.13515"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-01T00:00:00Z"}}, {"id": "10.1038/s41561-020-0612-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:40Z", "type": "Journal Article", "created": "2020-07-27", "title": "Persistence of soil organic carbon caused by functional complexity", "description": "Soil organic carbon management has the potential to aid climate change mitigation through drawdown of atmospheric carbon dioxide. To be effective, such management must account for processes influencing carbon storage and re-emission at different space and time scales. Achieving this requires a conceptual advance in our understanding to link carbon dynamics from the scales at which processes occur to the scales at which decisions are made. Here, we propose that soil carbon persistence can be understood through the lens of decomposers as a result of functional complexity derived from the interplay between spatial and temporal variation of molecular diversity and composition. For example, co-location alone can determine whether a molecule is decomposed, with rapid changes in moisture leading to transport of organic matter and constraining the fitness of the microbial community, while greater molecular diversity may increase the metabolic demand of, and thus potentially limit, decomposition. This conceptual shift accounts for emergent behaviour of the microbial community and would enable soil carbon changes to be predicted without invoking recalcitrant carbon forms that have not been observed experimentally. Functional complexity as a driver of soil carbon persistence suggests soil management should be based on constant care rather than one-time action to lock away carbon in soils.", "keywords": ["[SDE] Environmental Sciences", "DECOMPOSITION", "2. Zero hunger", "106022 Mikrobiologie", "[SDE.MCG]Environmental Sciences/Global Changes", "UNCERTAINTY", "04 agricultural and veterinary sciences", "INPUTS", "15. Life on land", "TRANSPORT", "MODEL", "[SDE.MCG] Environmental Sciences/Global Changes", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "[SDE]Environmental Sciences", "SDG 13 - Climate Action", "Meteorology & Atmospheric Sciences", "106022 Microbiology", "GROWTH", "0401 agriculture", " forestry", " and fisheries", "TURNOVER", "PLANT", "106026 Ecosystem research", "MATTER"]}, "links": [{"href": "http://www.nature.com/articles/s41561-020-0612-3.pdf"}, {"href": "https://escholarship.org/content/qt84n3398c/qt84n3398c.pdf"}, {"href": "https://doi.org/10.1038/s41561-020-0612-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41561-020-0612-3", "name": "item", "description": "10.1038/s41561-020-0612-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41561-020-0612-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-27T00:00:00Z"}}, {"id": "10.1590/s0100-06832003000500006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:41Z", "type": "Journal Article", "created": "2005-04-26", "title": "Estoques Totais De Carbono Org\u00e2nico E Seus Compartimentos Em Argissolo Sob Floresta E Sob Milho Cultivado Com Aduba\u00e7\u00e3o Mineral E Org\u00e2nica", "description": "<p>Os estoques de mat\uffc3\uffa9ria org\uffc3\uffa2nica do solo e seus compartimentos s\uffc3\uffa3o importantes na disponibilidade de nutrientes, agrega\uffc3\uffa7\uffc3\uffa3o do solo e no fluxo de gases de efeito estufa entre a superf\uffc3\uffadcie terrestre e a atmosfera. Os objetivos deste estudo foram: (a) avaliar os efeitos de sistemas de produ\uffc3\uffa7\uffc3\uffa3o de milho sob aduba\uffc3\uffa7\uffc3\uffa3o org\uffc3\uffa2nica e mineral nos estoques totais de carbono org\uffc3\uffa2nico (COT) e nitrog\uffc3\uffaanio (NT) e de compartimentos de carbono (C) org\uffc3\uffa2nico, em um Argissolo Vermelho-Amarelo, e (b) estimar a contribui\uffc3\uffa7\uffc3\uffa3o desses sistemas no seq\uffc3\uffbcestro ou emiss\uffc3\uffa3o de CO2 atmosf\uffc3\uffa9rico. Os sistemas de produ\uffc3\uffa7\uffc3\uffa3o, durante 16 anos, constaram de combina\uffc3\uffa7\uffc3\uffb5es entre dois n\uffc3\uffadveis (0 e 1) de composto org\uffc3\uffa2nico, nas doses de 0 e 40 m\uffc2\uffb3 ha-1 (AO), e tr\uffc3\uffaas n\uffc3\uffadveis (0, 1 e 2) de adubo mineral, nas doses de 0, 250 (AM1), e 500 kg ha-1 (AM2) da f\uffc3\uffb3rmula 4-14-8. Uma \uffc3\uffa1rea sob Floresta Atl\uffc3\uffa2ntica (FA) adjacente ao experimento foi amostrada e usada como refer\uffc3\uffaancia de um estado de equil\uffc3\uffadbrio. Os sistemas de produ\uffc3\uffa7\uffc3\uffa3o em que o composto org\uffc3\uffa2nico foi adicionado apresentaram maiores estoques de COT, NT, carbono da fra\uffc3\uffa7\uffc3\uffa3o leve (C FL) e carbono l\uffc3\uffa1bil (C L) do que os sistemas sem aduba\uffc3\uffa7\uffc3\uffa3o ou apenas com aduba\uffc3\uffa7\uffc3\uffa3o mineral, o que confirma a aduba\uffc3\uffa7\uffc3\uffa3o org\uffc3\uffa2nica como estrat\uffc3\uffa9gia de manejo importante para a melhoria da qualidade do solo. No entanto, no solo sob FA, os estoques de COT, NT e dos compartimentos de C foram maiores do que aqueles observados nos sistemas de produ\uffc3\uffa7\uffc3\uffa3o. Em virtude da maior sensibilidade, os estoques dos compartimentos do C FL e do C L foram reduzidos em maior intensidade do que os estoques de COT, raz\uffc3\uffa3o por que podem ser usados como indicadores da interfer\uffc3\uffaancia antr\uffc3\uffb3pica ou das mudan\uffc3\uffa7as no manejo sobre o estado da mat\uffc3\uffa9ria org\uffc3\uffa2nica do solo.</p>", "keywords": ["carbon inputs", "2. Zero hunger", "Agriculture (General)", "qualidade de solo", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "manejo do solo", "S1-972", "13. Climate action", "soil organic matter", "0401 agriculture", " forestry", " and fisheries", "mat\u00e9ria org\u00e2nica do solo", "soil quality", "soil management", "aporte de carbono", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1590/s0100-06832003000500006"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Revista%20Brasileira%20de%20Ci%C3%AAncia%20do%20Solo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1590/s0100-06832003000500006", "name": "item", "description": "10.1590/s0100-06832003000500006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1590/s0100-06832003000500006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2003-10-01T00:00:00Z"}}, {"id": "10.3390/w12061722", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:07Z", "type": "Journal Article", "created": "2020-06-18", "title": "Influence of Dissolved Organic Matter Sources on In-Stream Net Dissolved Organic Carbon Uptake in a Mediterranean Stream", "description": "<p>Studies exploring how different sources of dissolved organic matter (DOM) influence in-stream dissolved organic carbon (DOC) uptake at the ecosystem scale are scarce in the literature. To fill this knowledge gap, we examined the relationship between DOM sources and in-stream net DOC uptake (UDOC) in a sub-humid Mediterranean stream. We considered four reach-scale scenarios occurring under natural conditions that differed in predominant DOM sources (groundwater, leaf litter, and/or upstream water). Results showed that groundwater inputs favored in-stream net DOC uptake, while leaf litter inputs promoted in-stream net DOC release. However, there was no clear effect of DOM source mixing on the magnitude of UDOC. Further, the variability in UDOC within and among scenarios was mostly explained by stream DOC concentration, suggesting that DOC availability limits microbial activity in this stream. DOM composition became a controlling factor of UDOC variability only during the leaf litter period, when stream DOC concentration was the highest. Together, these results suggest that the capacity of headwater forested streams to process DOC is closely tied to the availability of different DOM sources and how they vary over time and along the river network.</p>", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "leaf litter", "carbon availability", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "577", "Leaf litter", "910", "15. Life on land", "dissolved organic carbon", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Dissolved organic matter composition", "groundwater inputs", "13. Climate action", "Groundwater inputs", "dissolved organic matter composition", "In-stream net uptake", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Dissolved organic carbon", "environment", "in-stream net uptake", "Carbon availability", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1722/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1722/pdf"}, {"href": "https://doi.org/10.3390/w12061722"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w12061722", "name": "item", "description": "10.3390/w12061722", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w12061722"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-17T00:00:00Z"}}, {"id": "10.3929/ethz-b-000445427", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:13Z", "type": "Journal Article", "created": "2020-09-08", "title": "GP-ARX-Based Structural Damage Detection and Localization under Varying Environmental Conditions", "description": "<p>The representation of structural dynamics in the absence of physics-based models, is often accomplished through the identification of parametric models, such as the autoregressive with exogenous inputs, e.g. ARX models. When the structure is amenable to environmental variations, parameter-varying extensions of the original ARX model can be implemented, allowing for tracking of the operational variability. Yet, the latter occurs in sufficiently longer time-scales (days, weeks, months), as compared to system dynamics. For inferring a \uffe2\uff80\uff9cglobal\uffe2\uff80\uff9d, long time-scale varying ARX model, data from a full operational cycle has to typically become available. In addition, when the sensor network comprises multiple nodes, the identification of long time-scale varying, vector ARX models grow in complexity. We address these issues by proposing a distributed framework for structural identification, damage detection and localization. Its main features are: (i) the individual estimation of local, single-input-single-output ARX models at every operational point; (ii) the long time-scale representation of each individual ARX coefficient via a Gaussian process regression, which captures dependency on varying Environmental and Operational Conditions (EOCs); (iii) the establishment of a distributed residual generation algorithm for damage detection, which produces time-series of well-defined stationary statistics, with detected discrepancies used for damage diagnosis; and, (iv) exploitation of ARX-inferred mode shape curvatures, obtained via ARX-inferred global state-space models, of the healthy and damaged states, for damage localization. The method is assessed via application on two numerical case studies of different complexity, with the results confirming its efficacy for diagnostics under varying EOCs.</p>", "keywords": ["Technology", "0209 industrial biotechnology", "varying environmental and operational conditions", "Structural health monitoring", "structural health monitoring", "Damage detection and localization", "T", "mode shape curvatures", "distributed sensor network", "Autoregressive with exogenous inputs", "02 engineering and technology", "0201 civil engineering", "autoregressive with exogenous inputs", "Structural health monitoring; Varying environmental and operational conditions; Damage detection and localization; Gaussian process regression; Autoregressive with exogenous inputs; Distributed sensor network; Mode shape curvatures", "Distributed sensor network", "Mode shape curvatures", "damage detection and localization", "Varying environmental and operational conditions", "Gaussian process regression"]}, "links": [{"href": "http://www.mdpi.com/2224-2708/9/3/41/pdf"}, {"href": "https://doi.org/10.3929/ethz-b-000445427"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Sensor%20and%20Actuator%20Networks", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3929/ethz-b-000445427", "name": "item", "description": "10.3929/ethz-b-000445427", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3929/ethz-b-000445427"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-08T00:00:00Z"}}, {"id": "10.5061/dryad.c2fqz6175", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:27Z", "type": "Dataset", "title": "Plant composition of northern temperate pastures and their disturbance history in Alberta, Canada", "description": "unspecifiedMethods copied from our accepted manuscript:\u00a0Pyle, Lysandra A.,  Hall, Linda, and Bork, Edward W. (In Press). Northern temperate pastures  exhibit divergent plant community responses to management and disturbance  legacies identified through a producer survey. <em>Applied  Vegetation Science</em>. <b>1.\u00a0 Study  location</b> We surveyed 102 pastures during 2012 (n=44) and 2013 (n=58)  between May 24 and July 6, distributed across agricultural lands within 80  km of Edmonton, Alberta, Canada.\u00a0 About half the pastures were in the  Central Parkland (n=50), with the remainder in the Dry Mixedwood (n=50)  and Central Mixedwood (n=2) subregions.\u00a0A large and well-distributed  sample size ensured wide variation in soil textures, seeded and non-seeded  vegetation, and management actions. Pastures were selected using a  stratified random approach, separated by at least 800 m. Pastures were  identified through consultation with municipal county staff, then driving  roadsides to confirm suitable fields visually. Pastures had to accommodate  a 260 m long transect (minimum of 4 ha) with buffer zones from wetlands  (30 m), forests and fence lines (10 m), with larger pastures given  preference.\u00a0Acquisition of sites was constrained by landowners\u2019  willingness to grant permission to their land, although refusals were  uncommon (n &lt; 10). A privacy agreement with landowners prohibits us  from releasing the locations of pastures.  <strong>2. Producer management and disturbance  history</strong> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Pasture management  and disturbance history were acquired for all 102 pastures through a  retrospective, in-person interview.\u00a0Interviews were approved by the  University of Alberta\u2019s Research Ethics Board (ID: Pro0030842). Interviews  identified historical and current land-use practices and natural  disturbances potentially influencing soil and vegetation. Managers were  initially asked about ownership and whether the pasture had been  previously cultivated. If cultivated, managers estimated when it was  planted (grassland age) and how (seeding history was described in Pyle,  Hall, &amp; Bork, 2018); cultivation status could also be classified  as unknown (attributed to land-turnover or rented pasture). Recent  management actions were summarized, including grazing history (grazing  system, timing of grazing, number of animals, type of livestock,  supplemental feeding with hay), mechanical treatments (aerated, harrowed,  or swathed/mowed), nutrient addition (fertilizer or manure), or herbicide  application. Livestock stocking rates [in animal-unit-months per ha (AUM  ha<sup>-1</sup>)] were calculated for pastures (n=80) where  adequate information on grazing activities was obtained (see Pyle, Hall,  &amp; Bork, 2018), where one AUM is the forage required to support a  mature cow (with or without a calf) for one month. Other natural  disturbances capable of influencing vegetation, such as a known history of  recent fire, were recorded. All management actions and disturbance factors  are described in Appendix S1 (<em>Applied Vegetation  Science</em> manuscript). <strong>3.  Plant cover, ground cover, and soil properties</strong>  \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Following the interview, a grassland assessment was  conducted. To begin sampling, a random point was located from which a 260  m long \u2018W-transect\u2019 was laid out (Thomas, 1985). Plant composition and  ground cover were assessed at nine equidistant locations using a 0.25  m<sup>2</sup> quadrat. Foliar cover was estimated for each  plant species, with trace species recorded as 0.1%. Plants were identified  (Moss &amp; Packer, 1983) and nomenclature updated using VASCAN  (Brouillet et al., 2018). Plant species were later grouped into major  cover components by origin (total native, total introduced) and growth  form [forbs, graminoids (grasses, sedges, rushes)], as well as functional  groups such as introduced grasses (seeded or widely naturalized),  introduced legumes (seeded or widely naturalized), introduced ruderal  forbs (agronomic weeds), noxious weeds [defined by the <i>Weed  Control Act </i>(Province of Alberta, 2010)], native perennial  graminoids, native perennial forbs, native ruderal forbs, and native woody  plants. These functional groups are related to rangeland health, which  evaluates key forages, along with unpalatable and disturbance-induced  plants. For each pasture, plant community richness, diversity (effective  number of species), and Pielou\u2019s evenness were summarized for inclusion in  multivariate analyses. At all locations where cover was observed, the area of  litter and exposed mineral soil on the ground surface were estimated, and  litter depth was measured at five random locations within the 0.25  m<sup>2 </sup>frame. Mineral soil was sampled to a depth of 15  cm at ten random locations. During preparation of soil cores (Pyle, Hall,  &amp; Bork, 2019), charcoal layers in the top 15 cm of mineral soil  were often found, indicating fire occurrence in the pasture\u2019s history and  not reported by managers. For each grassland, soil properties including %  total carbon (C), % total nitrogen (N), carbon to nitrogen ratio (C:N),  organic matter (OM), pH, electrical conductivity (EC), and texture (%  clay, % sand, % silt) were measured. Procedures and specific responses are  summarized elsewhere (Pyle, Hall, &amp; Bork, 2019).  <strong>4. Rangeland health</strong>  \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Rangeland health was assessed using the <i>Tame  Pasture Assessment Form </i>developed by Alberta Environment and  Parks (Adams et al., 2010; resources available at https://www.alberta.ca/range-health.aspx). In brief, this process evaluated grasslands based on six criteria, including: (1) vegetation composition and forage cover (tame or modified-tame), (2) the status of vegetation as either desirable (i.e., tall, productive forages) or non-desirable (non-palatable) species in tame pasture, (3) hydrologic function and nutrient cycling (abundance of litter), (4) site stability (exposed mineral soil and evidence of erosion), (5) noxious weeds, and (6) encroachment by woody plants (scoring is summarized in Pyle, Hall, &amp; Bork, 2018). In total, 60% of the health score arises from vegetation attributes, 25% from hydrologic function, and 15% from site stability (Adams et al., 2010). <strong>5. Literature Cited</strong> Adams, B. W., Ehlert, G., Stone, C., Lawrence, D., Alexander, M., Willoughby, M., Hincz, C., Moisey, D., Burkinshaw, A., Carlson, J., &amp; France, K. (2010). <i>Rangeland health assessment for grassland, forest and tame pasture</i>. Public Lands and Forests Division, Alberta Sustainable Resource Development, Alberta, Canada. \u00a0 Brouillet L, Desmet P, Coursol F, Meades SJ, Favreau M, Anions M, B\u00e9lisle P, Gendreau C, Shorthouse D, &amp; Contributors. (2018). <i>Database of Vascular Plants of Canada (VASCAN).</i> Online at http://data.canadensys.net/vascan. https://doi.org/10.3897/phytokeys.25.3100\u00a0 [accessed in August 2018] \u00a0 Moss, E. H., &amp; Packer, J. G. (1983). <i>Flora of Alberta: a manual of flowering plants, conifers, ferns, and fern allies found growing without cultivation in the Province of Alberta, Canada </i>(2<sup>nd</sup> ed.). University of Toronto Press, London, Ontario, Canada. Province of Alberta. 2010. <i>Weed Control Act</i>. Her Majesty the Queen in the Right of Alberta, Edmonton, Alberta, Canada. Pyle, L. A, Hall, L. M. &amp; Bork, E. W. (2018). Linking management practices with range health in northern temperate pastures. <i>Canadian Journal of Plant Science</i>, 98(3), 657-671. https://doi.org/10.1139/cjps-2017-0223 Pyle, L. A, Hall, L. M., &amp; Bork, E. W. (2019). Soil properties in northern temperate pastures do not vary with management practices and are independent of rangeland health. <i>Canadian Journal of Soil Science</i>, 99(4), 495-507. https://doi.org/10.1139/CJSS-2019-0076 Thomas, A. G. (1985). Weed survey system used in Saskatchewan for cereal and oilseed crops. <i>Weed Science</i>, 33(1), 34-43. https://doi.org/10.1017/S0043174500083892", "keywords": ["2. Zero hunger", "pasture management", "plant composition", "vegetation composition", "disturbance legacy", "15. Life on land", "rangeland health", "12. Responsible consumption", "fire history", "cultivation", "soil properties", "pasture inputs", "FOS: Other agricultural sciences", "producer survey"]}, "links": [{"href": "https://doi.org/10.5061/dryad.c2fqz6175"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.c2fqz6175", "name": "item", "description": "10.5061/dryad.c2fqz6175", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.c2fqz6175"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-25T00:00:00Z"}}, {"id": "10.5061/dryad.cc2fqz6d9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:27Z", "type": "Dataset", "created": "2023-12-20", "title": "Data from: Do Tasmanian devil declines impact ecosystem function?", "description": "unspecifiedTasmanian eucalypt forests are among the most carbon-dense in the world,  but projected changes in climate could destabilize this critical carbon  sink. While the impact of abiotic factors on forest ecosystem carbon  dynamics have received considerable attention, biotic factors, such as the  input of animal scat, are less understood. Tasmanian devils (Sarcophilus  harrisii)\u2014an osteophageous scavenger that can ingest and solubilize  nutrients locked in bone material\u2014may subsidize plant and microbial  productivity by concentrating bioavailable nutrients (e.g., nitrogen and  phosphorus) in scat latrines. Dramatic declines in devil population  densities are driven by the spread of a transmissible cancer and may have  underappreciated consequences for soil organic carbon (SOC) storage and  forest productivity by altering nutrient cycling. Here, we fuse  experimental data and modeling to quantify and predict future changes to  forest productivity and SOC under various climate and scat-quality  futures. We find that devil scat significantly increases concentrations of  nitrogen, ammonium, phosphorus, and phosphate in the soil, and shifts soil  microbial communities towards those dominated by r-selected (e.g.,  fast-growing) phyla. Further, under simulated increases in temperature and  precipitation, devil scat inputs are projected to increase above- and  belowground net primary productivity and microbial biomass carbon through  2100. In contrast, when devil scat is replaced by lower-quality scat  (e.g., from non-osteophageous scavengers and herbivores), forest carbon  pools either increase more slowly or decline. Together, our results  suggest biotic factors will interact with climate change to drive current  and future carbon pool dynamics in Tasmanian forests.", "keywords": ["forest productivity", "Tasmanian devils", "soil microbiome", "Climate change", "nutrient cycling", "FOS: Earth and related environmental sciences", "scat inputs", "Soil carbon"], "contacts": [{"organization": "Stephenson, Torrey", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.cc2fqz6d9"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.cc2fqz6d9", "name": "item", "description": "10.5061/dryad.cc2fqz6d9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.cc2fqz6d9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-09T00:00:00Z"}}, {"id": "10.5061/dryad.r4xgxd2k7", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:31Z", "type": "Dataset", "created": "2023-07-18", "title": "Kruger National Park EBP carbon", "description": "unspecifiedSoil samples were obtained under  and away from the canopies of five large (&gt; 6 m)  <em>Sclerocarya birrea</em> trees on each plot in 2016.  Under-canopy samples were taken halfway between the tree trunk and the  edge of the canopy. Away from canopy samples were taken away (&gt; 5  m) from tree canopies. After litter was scraped away, a trowel was used to  sample to 5 cm and, below this depth, a 4 cm-diameter soil auger was used  to sample from 5-30 cm (at increments of 5\u201310 cm, 10\u201320 cm, and 20\u201330 cm)  and soils kept separate for each depth. The soil was dry sieved through a  2 mm sieve to remove all roots after which a bulk sample was taken to make  one sample per canopy and one away from canopy per plot per depth (two  vegetation types \u00b4 4 replicates  (strings) \u00b4  4 fire treatments \u00b4 canopy/away from  canopy \u00b4 4  depths = 256 samples). After soil sampling, soil texture was analysed at  Elsenburg Laboratory (Western Cape, South Africa) following the hydrometer  method for soil particle analysis (Committee, 1990). Soil carbon and  <sup>13</sup>C/<sup>12</sup>C ratios of the soil  carbon were determined using a Thermo Finnigan Delta plus XP mass  spectrometer coupled with a conflo III device to a Thermo Finnigan Flash  EA1112 Elemental Analyser with automatic sampler (Thermo Electron, Bremen,  Germany). Although we did not expect to find carbonates in our study soils  based on the pH values of the soils, we treated a subset (about 25%) of  the soil samples with HCl to remove carbonates and reran these for  variation in the C content, which confirmed the absence of inorganic  carbon. These results were calibrated relative to Pee-Dee Belemnite as  well as to correct for drift in the reference gas. The results are  expressed as parts per thousand (\u2030) and relative to the Pee-Dee Belemnite  standard are denoted by the term \u03b4, with precision of duplicate analysis  0.1\u2030 (February et al.,  2011). Based on the \u03b4<sup>13</sup>C values of the  soil and end member (mean) \u03b4<sup>13</sup>C values of the  grasses (-13.17\u2030) and trees (-27.61\u2030) at our study site (February &amp; Higgins, 2010),  a standard end-member mixing model was used to determine the relative  proportion of C<sub>3</sub> (trees)- and  C<sub>4</sub> (grass)-derived carbon in the soil. This mixing  model was only applied to the 0\u201330 cm soil horizon (surface soils) because  of unrelated fractionation processes at deeper depths causing enrichment  of soil \u03b4<sup>13</sup>C unrelated to the inputs from  C<sub>3</sub> or C<sub>4</sub> derived carbon  (Balesdent &amp; Mariotti, 1996;  Nel et al., 2018). We  calculated bulk density of the soil<em> </em>(Wigley et al., 2013) for each  depth category and used this value to convert C concentrations to total C  per volume of soil (i.e., stocks). Stocks of C per  m<sup>2</sup> for each depth was calculated before summing  these values and converting to total soil C per ha for soils from 0-30 cm  deep (Mg ha<sup>-1</sup>). We then incorporated the impact of  localised enrichment of tree canopies on SOC by weighting our calculation  of C stocks by the relative tree cover using the following  equation: plot total C (Mg  ha<sup>-1</sup>) = ((proportion woody cover \u00b4 soil  C<sub>tree</sub>) + (proportion grass cover \u00b4 soil  C<sub>grass</sub>)), where grass cover equals 1 - woody  cover.", "keywords": ["13. Climate action", "FOS: Biological sciences", "fire manipulation", "soil organic carbon sequestration", "woody cover changes", "15. Life on land", "savanna fires", "grass biomass inputs", "historic aerial photos"], "contacts": [{"organization": "Wigley-Coetsee, Corli", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.r4xgxd2k7"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.r4xgxd2k7", "name": "item", "description": "10.5061/dryad.r4xgxd2k7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.r4xgxd2k7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-08T00:00:00Z"}}, {"id": "10.5194/egusphere-egu24-105", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:44Z", "type": "Journal Article", "created": "2024-03-08", "title": "Liming effects on microbial carbon use efficiency and its potential consequences for soil organic carbon stocks", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>The allocation of metabolised carbon (C) between soil microbial growth and respiration, i.e. C use efficiency (CUE) is crucial for SOC dynamics. The pH was shown to be a major driver of microbial CUE in agricultural soils and therefore, management practices to control soil pH, such as liming, could serve as a tool to modify microbial physiology. We hypothesised that raising soil pH would alleviate CUE-limiting conditions and that liming could thus increase CUE, thereby supporting SOC accrual. This study investigated whether CUE can be manipulated by liming and how this might contribute to SOC stock changes. The effects of liming on CUE, microbial biomass C, abundance of microbial domains, SOC stocks and OC inputs were assessed for soils from three European long-term field experiments. Field control soils were additionally limed in the laboratory to assess immediate effects, accounting for lime-derived CO2 emissions (&amp;#948;13C signature). The shift in soil pHH2O from 4.5 to 7.3 with long-term liming reduced CUE by 40%, whereas the shift from 5.5 to 8.6 and from 6.5 to 7.8 was associated with increases in CUE by 16% and 24%, respectively. The overall relationship between CUE and soil pH followed a U-shaped (i.e. quadratic) curve, implying that in agricultural soils CUE may be lowest at pHH2O&amp;#160;=&amp;#160;6.4. The immediate CUE response to liming followed the same trends. Interestingly, liming increased microbial biomass C in all cases. Changes in CUE with long-term liming contributed to the net effect of liming on SOC stocks. Our study confirms the value of liming as a management practice for climate-smart agriculture, but demonstrates that it remains difficult to predict the impact on SOC stocks due its complex effects on the C cycle.</p></article>", "keywords": ["[SDE] Environmental Sciences", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Isotopic labelling", "Organic C inputs", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "Agricultural soil", "630", "Climate change mitigation", "03 medical and health sciences", "Long-term field experiment (LTE)", "13. Climate action", "[SDE]Environmental Sciences", "Microbial soil carbon", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study"]}, "links": [{"href": "https://doi.org/10.5194/egusphere-egu24-105"}, {"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": "10.5194/egusphere-egu24-105", "name": "item", "description": "10.5194/egusphere-egu24-105", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-egu24-105"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-01T00:00:00Z"}}, {"id": "10.5281/zenodo.10959076", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:22:08Z", "type": "Dataset", "created": "2023-10-30", "title": "Knowledge gaps on trade-offs of soil carbon sequestration related to soil management strategies", "description": "The database contains 87 unique literature items (29 reviews, 42 meta-analyses, 16 original papers) describing the effect of a soil management strategy (tillage management, cropping systems, water management, cover crops, crop residues, livestock manure, slurry, compost, biochar, liming) on the trade-offs between soil carbon sequestration or SOC change and N2O emission, CH4 emission and nitrogen leaching. Since some literature items describe effects of several SMS categories, the database_summary tab comprises a total of 112 unique inputs. For each input it is indicated in the Database_summary tab if it was used as input for the 'Soil management effect assessment' in Maenhout et al. (2024) [Maenhout, P., Di Bene, C., Cayuela, M. L., Diaz-Pines, E., Govednik, A., Keuper, F., Mavsar, S., Mihelic, R., O'Toole, A., Schwarzmann, A., Suhadolc, M., Syp, A., & Valkama, E. (2024). Trade-offs and synergies of soil carbon sequestration: Addressing knowledge gaps related to soil management strategies. European Journal of Soil Science, 75(3), e13515. https://doi.org/10.1111/ejss.13515] and/or to define knowledge gaps ('Knowledge gap in tab'-column). Knowledge gaps and research recommendations are gouped per soil management strategy in different tabs in this database. Per soil management strategy, knowledge gaps are clustered per theme in groups. These themes include: the specific soil management strategy, pedoclimatic conditions, establishment of experiments, other soil management strategies, meta-analysis, modelling and other", "keywords": ["Water management", "EJP SOIL", "Climate change mitigation", "Nitrogen leaching", "CH4", "Conservation agriculture", "Cropping systems", "SOMMIT", "N2O", "Organic matter inputs", "Tillage"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10959076"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10959076", "name": "item", "description": "10.5281/zenodo.10959076", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10959076"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-13T00:00:00Z"}}, {"id": "10.5281/zenodo.10907111", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:22:07Z", "type": "Dataset", "created": "2023-10-13", "title": "Database to: Effectiveness of soil management strategies for mitigation of N2O emissions in European arable land: A meta-analysis", "description": "Database to a meta-analysis studing the effects of adding different organic matter inputs (crop residues, green manure, livestock manure, slurry, digestate, compost or biochar) to soils on N2O emissions. Database consists of over 50 field experiments conducted in 15 European countries. Diverse arable crops, mainly cereals, were cultivated in monoculture or in crop rotations on mineral soils. \u00a0Cumulative N2O emissions per unit land area were monitored during periods of 30 to 1,070 days in treatments, which received organic matter inputs, alone or in combination with mineral N fertiliser; and in controls fertilised with mineral N. The original results appeared in 46 articles published between 1993 and 2022 in peer-reviewed scientific journals, as well as a project report, and a PhD thesis.", "keywords": ["meta-analysis", "nitous oxide", "EJPSOIL", "effect size", "N2O", "organic matter inputs", "pedoclimatic characteristics", "field experiments"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10907111"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10907111", "name": "item", "description": "10.5281/zenodo.10907111", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10907111"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-02T00:00:00Z"}}, {"id": "10.5281/zenodo.10907112", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:22:07Z", "type": "Dataset", "created": "2023-10-13", "title": "Database to: Effectiveness of soil management strategies for mitigation of N2O emissions in European arable land: A meta-analysis", "description": "Database to a meta-analysis studing the effects of adding different organic matter inputs (crop residues, green manure, livestock manure, slurry, digestate, compost or biochar) to soils on N2O emissions. Database consists of over 50 field experiments conducted in 15 European countries. Diverse arable crops, mainly cereals, were cultivated in monoculture or in crop rotations on mineral soils. \u00a0Cumulative N2O emissions per unit land area were monitored during periods of 30 to 1,070 days in treatments, which received organic matter inputs, alone or in combination with mineral N fertiliser; and in controls fertilised with mineral N. The original results appeared in 46 articles published between 1993 and 2022 in peer-reviewed scientific journals, as well as a project report, and a PhD thesis.", "keywords": ["meta-analysis", "nitous oxide", "EJPSOIL", "effect size", "N2O", "organic matter inputs", "pedoclimatic characteristics", "field experiments"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10907112"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10907112", "name": "item", "description": "10.5281/zenodo.10907112", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10907112"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-02T00:00:00Z"}}, {"id": "10451/49705", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:39Z", "type": "Journal Article", "created": "2020-08-15", "title": "Nitrogen inputs may improve soil biocrusts multifunctionality in dryland ecosystems", "description": "Open AccessSoil biocrusts (communities of cyanobacteria, algae, mosses, lichens, and heterotrophs living at the soil surface) are fundamental components of dryland ecosystems worldwide. There is increasing concern over the potential for increasing nitrogen (N) inputs to affect biocrusts. This is of special concern in Mediterranean Basin drylands that face the threat of increased N inputs however, the effect on biocrusts remains poorly studied. We evaluated the potential effects of increased N inputs on biocrust structure and functioning in surrounding Mediterranean shrublands in the seventh year of a N-manipulation field experiment. We tracked the N-driven changes in biotope (changes in bare soil and in the non-legume and the legume occupation areas, and the percentage of radiation intercepted by plant canopies), evaluated biocrust functional traits (based on pigments) and measured biocrust functioning in terms of C and N cycling, soil fertility (macro and micronutrients) and biodiversity, and integrated these multiple soil functions simultaneously (i.e. soil multifunctionality) Biocrust pigment concentration was significantly influenced by both plant legacy and N input. Biocrust pigments revealed a clear functional shift from: i) biocrusts dominated by photosynthetically inactive cyanobacteria that fix N and are mostly committed to photoprotection at the expense of N-containing pigments under low N inputs; into ii) biocrusts more evenly composed of prokaryotes and eukaryotes, which are more photosynthetically active, but less committed to photoprotection and N fixation under exposure to increased N inputs. The N-driven functional and structural changes in biocrusts resulted in trade-offs in biocrust functioning and processes (only N fixation was affected) and an overall improvement in biocrust multifunctionality. By itself, biocrust pigment evenness accounted for ~50% of the observed variation in biocrust multifunctionality. The biocrust pigment functional approach we adopted to study the effects of increased N inputs from patchy developed anthropogenic landscapes provides novel and critical knowledge of biocrusts community and functioning, which may be used as a tool in biodiversity conservation strategies, ecosystem functions and ecological modelling.", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "03 medical and health sciences", "Biocrust functioning", "13. Climate action", "Plant species legacy", "Biological soil crusts", "Biocrust pigments", "15. Life on land", "Increased N inputs", "Pigment functional traits"]}, "links": [{"href": "https://repositorio.ulisboa.pt/bitstream/10451/49705/1/Nitrogen%20inputs%20may%20improve%20soil%20biocrusts%20multifunctionality%20in%20dryland%20ecosystems.pdf"}, {"href": "https://doi.org/10451/49705"}, {"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": "10451/49705", "name": "item", "description": "10451/49705", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10451/49705"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-01T00:00:00Z"}}, {"id": "10.5281/zenodo.15609417", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:22:58Z", "type": "Dataset", "title": "Raw data : \"Soil organic carbon stocks and dynamics under contrasting organic matter management practices - Results from a 65-year-old experiment in Belgium\"", "description": "unspecifiedLong-term field experiments (LTEs) are key for evaluating the long-term effect of agricultural practices on soil organic carbon (SOC) storage. In this work, we studied the long-term effect of organic matter (OM) management practices on SOC in a 65-year LTE under arable cropping in Belgium. To evaluate SOC dynamics, a time series (1959-2021) of topsoil SOC content was analyzed for three subperiods in which N fertilization remained unchanged. Topsoil and subsoil SOC stocks were calculated by the equivalent soil mass method for one individual sampling campain in 2018.\u00a0  Cattle manure (CM) application led to the most significant SOC storage, increasing topsoil SOC stock and content by approximately 20% over the long term. Other individual OM management practices \u2013 pig slurry (PS) application, cereal straw incorporation and cover crops (CC) cultivation \u2013 induced smaller, non-significant SOC increases of about 5%. Nevertheless, their combined effects were cumulative, resulting in significant SOC accruals. In contrast to the topsoil, SOC stock in the subsoil was unaffected by the OM management practices.  Annual humified C inputs calculated from the amount and quality of livestock manures and (cover) crops residues correlated strongly with SOC content in the topsoil (r=0.8), which underlines that the amount and quality of C inputs are key drivers of SOC storage. Changes in N fertilization over time and N fertilization adjustments among treatments significantly affected SOC dynamics. This highlights the complexity of interpreting time series of data from LTEs, for which the evolution of management practices over time may act as confounding factors.", "keywords": ["Crop residues", "Crop yields", "Livestock manures", "Cover crops", "C inputs", "Long-term field experiment", "Organic matter practices", "Organic carbon"], "contacts": [{"organization": "Sail, Simon", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15609417"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15609417", "name": "item", "description": "10.5281/zenodo.15609417", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15609417"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-02T00:00:00Z"}}, {"id": "10.5281/zenodo.6921009", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:23:25Z", "type": "Report", "title": "Soil biodiversity enhancement in European agroecosystems to promote their stability and resilience by external inputs reduction and crop performance increase", "description": "Soil biodiversity enhancement in European agroecosystems to promote their stability and resilience by external inputs reduction and crop performance increase This work was funded by the European Commission Horizon 2020 project SoildiverAgro [grant agreement 817819].", "keywords": ["2. Zero hunger", "Crop performance", "Soil Biodiversity", "15. Life on land", "External Inputs"], "contacts": [{"organization": "David-Alexander Bind", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6921009"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6921009", "name": "item", "description": "10.5281/zenodo.6921009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6921009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-06-29T00:00:00Z"}}, {"id": "10261/215719", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:28Z", "type": "Journal Article", "created": "2020-06-18", "title": "Influence of Dissolved Organic Matter Sources on In-Stream Net Dissolved Organic Carbon Uptake in a Mediterranean Stream", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Studies exploring how different sources of dissolved organic matter (DOM) influence in-stream dissolved organic carbon (DOC) uptake at the ecosystem scale are scarce in the literature. To fill this knowledge gap, we examined the relationship between DOM sources and in-stream net DOC uptake (UDOC) in a sub-humid Mediterranean stream. We considered four reach-scale scenarios occurring under natural conditions that differed in predominant DOM sources (groundwater, leaf litter, and/or upstream water). Results showed that groundwater inputs favored in-stream net DOC uptake, while leaf litter inputs promoted in-stream net DOC release. However, there was no clear effect of DOM source mixing on the magnitude of UDOC. Further, the variability in UDOC within and among scenarios was mostly explained by stream DOC concentration, suggesting that DOC availability limits microbial activity in this stream. DOM composition became a controlling factor of UDOC variability only during the leaf litter period, when stream DOC concentration was the highest. Together, these results suggest that the capacity of headwater forested streams to process DOC is closely tied to the availability of different DOM sources and how they vary over time and along the river network.</p></article>", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "leaf litter", "carbon availability", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "577", "Leaf litter", "910", "15. Life on land", "dissolved organic carbon", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Dissolved organic matter composition", "groundwater inputs", "13. Climate action", "Groundwater inputs", "dissolved organic matter composition", "In-stream net uptake", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Dissolved organic carbon", "environment", "in-stream net uptake", "Carbon availability", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1722/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1722/pdf"}, {"href": "https://doi.org/10261/215719"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/215719", "name": "item", "description": "10261/215719", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/215719"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-17T00:00:00Z"}}, {"id": "10261/394505", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:24:35Z", "type": "Journal Article", "created": "2024-06-07", "title": "Trade\u2010offs and synergies of soil carbon sequestration: Addressing knowledge gaps related to soil management strategies", "description": "Abstract<p>Soil organic carbon (SOC) sequestration in agricultural soils is an important tool for climate change mitigation within the EU soil strategy for 2030 and can be achieved via the adoption of soil management strategies (SMS). These strategies may induce synergistic effects by simultaneously reducing greenhouse gas (GHG) emissions and/or nitrogen (N) leaching. In contrast, other SMS may stimulate emissions of GHG such as nitrous oxide (N2O) or methane (CH4), offsetting the climate change mitigation gained via SOC sequestration. Despite the importance of understanding trade\uffe2\uff80\uff90offs and synergies for selecting sustainable SMS for European agriculture, knowledge on these effects remains limited. This review synthesizes existing knowledge, identifies knowledge gaps and provides research recommendations on trade\uffe2\uff80\uff90offs and synergies between SOC sequestration or SOC accrual, non\uffe2\uff80\uff90CO2 GHG emissions and N leaching related to selected SMS. We investigated 87 peer\uffe2\uff80\uff90reviewed articles that address SMS and categorized them under tillage management, cropping systems, water management and fertilization and organic matter (OM) inputs. SMS, such as conservation tillage, adapted crop rotations, adapted water management, OM inputs by cover crops (CC), organic amendments (OA) and biochar, contribute to increase SOC stocks and reduce N leaching. Adoption of leguminous CC or specific cropping systems and adapted water management tend to create trade\uffe2\uff80\uff90offs by stimulating N2O emissions, while specific cropping systems or application of biochar can mitigate N2O emissions. The effect of crop residues on N2O emissions depends strongly on their C/N ratio. Organic agriculture and agroforestry clearly mitigate CH4 emissions but the impact of other SMS requires additional study. More experimental research is needed to study the impact of both the pedoclimatic conditions and the long\uffe2\uff80\uff90term dynamics of trade\uffe2\uff80\uff90offs and synergies. Researchers should simultaneously assess the impact of (multiple) agricultural SMS on SOC stocks, GHG emissions and N leaching. This review provides guidance to policymakers as well as a framework to design field experiments and model simulations, which can address knowledge gaps and non\uffe2\uff80\uff90intentional effects of applying agricultural SMS meant to increase SOC sequestration.</p", "keywords": ["2. Zero hunger", "CH4", "330", "N2O", "cropping systems", "organic matter inputs", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "630", "6. Clean water", "climate change mitigation", "12. Responsible consumption", "conservation agriculture", "13. Climate action", "EJPSOIL", "water management", "11. Sustainability", "tillage", "CH4 | climate change mitigation | conservation agriculture | cropping systems | EJP SOIL | N2O | nitrogen leaching | organic matter inputs | tillage | water management", "0401 agriculture", " forestry", " and fisheries", "nitrogen leaching", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10261/394505"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Soil%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/394505", "name": "item", "description": "10261/394505", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/394505"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-01T00:00:00Z"}}, {"id": "6bf5829e-9fcd-46fc-be6b-6b790c3bfc4a", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Laboratory experimentation"}, {"id": "Phosphate fertilizers"}, {"id": "fertilizers"}, {"id": "farm inputs"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "XRD"}, {"id": "Hydroxides"}, {"id": "Vivianite"}, {"id": "Hydroxyapatite"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - InnoSoilPhos's research activities.\"\n\nAlthough every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and  the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2020-07-30", "type": "Dataset", "created": "2020-03-06", "language": "eng", "title": "Raw data X-ray diffraction (XRD) Fe-Al-Hydroxides, vivianite, and hydroxyapatite", "description": "X-ray diffraction pattern were created for the crystalline Fe-hydroxide goethite, the crystalline Al-hydroxide gibbsite, the poorly crystalline Fe-hydroxide ferrihydrite, amorphous Fe- Al-hydroxides mixed in molar ratios of 1:0, 10:1, 5:1. 1:1, 1:5, 1:10 and 0:1, the Fe-phosphate vivianite, and the Ca-phosphate hydroxyapatite. The minerals crystallization as well as amorphous structures were verified by X-ray diffraction (XRD), using an Empyrean powder diffractometer (PANalytical, Almelo, Netherlands), with a theta-theta-goniometer, Cu-K\u03b1 radiation (\u03bb=0.15418 nm), automatic divergent and anti-scatter slits and a PIXcel3D detector. Diffraction data were recorded from 4.6\u00b0 to 84.9\u00b0 2\u03f4 with a step-size of 0.0131, a step time of 58.4 s, and generator settings of 40 kV and 40 mA. The elemental composition of the minerals was verified using SEM-EDX, scanning electron microscopy (DSM 962, Zeiss, Oberkochen, Germany) with energy dispersive X-ray spectroscopy (X-Max 50 mm\u00b2 with INCA, Oxford Instruments, Abingdon, Great Britain). The final resulting mineral phase of pure Al(OH)3 and FeO(OH) for the amorphous hydroxides was identified. \n\nResearch domain: Plant Nutrition\nResearch question: Which P bindings are formed on the various mineral Fe- and Al-hydroxide surfaces and how do inorganic and organic compounds contribute to the availability of both adsorbed/precipitated and naturally bound phosphorus from phosphate minerals?", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Laboratory experimentation", "Phosphate fertilizers", "fertilizers", "farm inputs", "XRD", "Hydroxides", "Vivianite", "Hydroxyapatite", "opendata", "Boden"], "contacts": [{"name": "Stella Gypser", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["author"], "phones": [{"value": "00 49 (0) 355 693318"}], "emails": [{"value": "stella.gypser@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": "https://orcid.org/", "protocol": null, "protocol_url": "", "name": "0000-0002-4765-8067", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Dirk Freese", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["workPackageLeader"], "phones": [{"value": "00 49 (0) 355 694238"}], "emails": [{"value": "dirk.freese@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": "https://orcid.org/", "protocol": null, "protocol_url": "", "name": "0000-0002-9837-7441", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 381 498 3120"}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Stella Gypser", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["dataCollector"], "phones": [{"value": "00 49 (0) 355 693318"}], "emails": [{"value": "stella.gypser@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4765-8067", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=6bf5829e-9fcd-46fc-be6b-6b790c3bfc4a", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "6bf5829e-9fcd-46fc-be6b-6b790c3bfc4a", "name": "item", "description": "6bf5829e-9fcd-46fc-be6b-6b790c3bfc4a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/6bf5829e-9fcd-46fc-be6b-6b790c3bfc4a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-30T00:00:00Z"}}, {"id": "21.11116/0000-0006-C73B-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:22Z", "type": "Journal Article", "created": "2020-07-27", "title": "Persistence of soil organic carbon caused by functional complexity", "description": "Soil organic carbon management has the potential to aid climate change mitigation through drawdown of atmospheric carbon dioxide. To be effective, such management must account for processes influencing carbon storage and re-emission at different space and time scales. Achieving this requires a conceptual advance in our understanding to link carbon dynamics from the scales at which processes occur to the scales at which decisions are made. Here, we propose that soil carbon persistence can be understood through the lens of decomposers as a result of functional complexity derived from the interplay between spatial and temporal variation of molecular diversity and composition. For example, co-location alone can determine whether a molecule is decomposed, with rapid changes in moisture leading to transport of organic matter and constraining the fitness of the microbial community, while greater molecular diversity may increase the metabolic demand of, and thus potentially limit, decomposition. This conceptual shift accounts for emergent behaviour of the microbial community and would enable soil carbon changes to be predicted without invoking recalcitrant carbon forms that have not been observed experimentally. Functional complexity as a driver of soil carbon persistence suggests soil management should be based on constant care rather than one-time action to lock away carbon in soils.", "keywords": ["[SDE] Environmental Sciences", "DECOMPOSITION", "2. Zero hunger", "106022 Mikrobiologie", "[SDE.MCG]Environmental Sciences/Global Changes", "UNCERTAINTY", "04 agricultural and veterinary sciences", "INPUTS", "15. Life on land", "TRANSPORT", "MODEL", "[SDE.MCG] Environmental Sciences/Global Changes", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "[SDE]Environmental Sciences", "SDG 13 - Climate Action", "Meteorology & Atmospheric Sciences", "106022 Microbiology", "GROWTH", "0401 agriculture", " forestry", " and fisheries", "TURNOVER", "PLANT", "106026 Ecosystem research", "MATTER"]}, "links": [{"href": "http://www.nature.com/articles/s41561-020-0612-3.pdf"}, {"href": "https://escholarship.org/content/qt84n3398c/qt84n3398c.pdf"}, {"href": "https://doi.org/21.11116/0000-0006-C73B-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "21.11116/0000-0006-C73B-8", "name": "item", "description": "21.11116/0000-0006-C73B-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/21.11116/0000-0006-C73B-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-27T00:00:00Z"}}, {"id": "210e3f7e-bf7e-44f3-9c14-49d4c0068f0d", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Phosphate fertilizers"}, {"id": "fertilizers"}, {"id": "farm inputs"}, {"id": "Phosphates"}, {"id": "Bones"}, {"id": "Laboratory experimentation"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Hydroxide"}, {"id": "Phosphorus"}, {"id": "Desorption"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - InnoSoilPhos's research activities.\"\n\nAlthough every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and  the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2020-07-29", "type": "Dataset", "created": "2020-03-06", "language": "eng", "title": "P desorption kinetics from Fe- and Al-hydroxides", "description": "The synthetic commercially hydroxides were goethite (99%, Alfa Aesar, Haverhill, Massachusetts, USA), and gibbsite (Merck Millipore, Merck KGaA, Darmstadt, Germany), which were of analytical grade. 2-line-ferrihydrite was prepared, at which a 1 M KOH was added to 500 ml of a 0.2 M Fe(NO3)3 \u2219 9 H2O-solution, until a pH of 7.5 was reached. The developed precipitate was centrifuged and washed for 5 min at 12134 x G, subsequently frozen, freeze-dried, and stored in a desiccator. The mixed Fe-Al-hydroxides were prepared by mixing 0.1 M Fe(NO3)3 \u2219 9 H2O and 0,1 M Al(NO3)3 \u2219 9 H2O were mixed in molar ratios of 1:0, 10:1, 5:1. 1:1, 1:5, 1:10 and 0:1, and brought to a pH of 6 with 5 M KOH. After equilibration for 1 h, the precipitate was centrifuged for 5 min at 12134 x G, washed with ultrapure water, dried at 60\u00b0C, and ground into a powder.\nThe elemental composition of the adsorbents was verified using SEM-EDX, scanning electron microscopy (DSM 962, Zeiss, Oberkochen, Germany) with energy dispersive X-ray spectroscopy (X-Max 50 mm\u00b2 with INCA, Oxford Instruments, Abingdon, Great Britain). The final resulting mineral phase of pure Al(OH)3 and FeO(OH) for the amorphous hydroxides was identified. Determination of the minerals crystallization as well as amorphous structures were verified by X-ray diffraction (XRD), using an Empyrean powder diffractometer (PANalytical, Almelo, Netherlands), with a theta-theta-goniometer, Cu-K\u03b1 radiation (\u03bb=0.15418 nm), automatic divergent and anti-scatter slits and a PIXcel3D detector. Diffraction data were recorded from 4.6\u00b0 to 84.9\u00b0 2\u03f4 with a step-size of 0.0131, a step time of 58.4 s, and generator settings of 40 kV and 40 mA.\nPrior to desorption, the hydroxides were coated on silica sand (particle size 0.2 \u2013 0.8 mm, Merck Millipore) to ensure a similar sample treatment (e.g. centrifugation times and revolutions). The silica sand used was finely granulated, washed, and calcined. 10 g of the hydroxide in a 0.01 M NaNO3-solution were adjusted to pH 6, resulting in a final volume of 100 ml. 100 g of pure silica sand was added to the suspension, and shaken for 24 h at room temperature. The supernatant was decanted and the material was washed three to five times with the 0.01 M NaNO3-solution at pH 6, and in a final step with ultrapure water to remove hydroxide traces and soluble salts. The coated silica sand was oven dried at 60\u00b0C for 48 h. The silica-hydroxide mixtures were preload with P. Therefore, 200 ml of a 2 mmol l-1 KH2PO4 solution and a 0.01 M CaCl2 background solution were added to the mixtures. After shaking horizontally for 24 h at 150 motions min-1, the hydroxides were centrifuged for 5 min at 929 x G. The supernatant was filtrated and the adsorbed P concentration determined\nDesorption experiments were conducted with CaCl2, CaSO4, humic acid, and citric acid, adjusted to pH 6. 2.5 g of the coated silica sand was treated with 50 ml of 0.01 M CaCl2 or 0.01 M CaSO4. 5 g of the coated silica sand was used for desorption with 50 ml of 2 g l-1 humic acid and citric acid (Alfa Aesar). A concentration of 2 g l-1 for both humic and citric acid was selected to provide a concentration similar to that of the CaCl2 and CaSO4. For desorption experiments, treatment solutions were added to the samples, shaken at 150 motions min-1, and centrifuged for 15 min at 2091 x g. After this, the supernatant was filtered for measurement of P. The time steps were 2, 6, 24, 48, 168, 336, 672, and 1344 h.\n\nResearch domain: \n\nResearch question: 207-03 Plant Nutrition\nWhich P bindings are formed on the various mineral Fe- and Al-hydroxide surfaces and how do inorganic and organic compounds contribute to the availability of both adsorbed/precipitated and naturally bound phosphorus from phosphate minerals?", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Phosphate fertilizers", "fertilizers", "farm inputs", "Phosphates", "Bones", "Laboratory experimentation", "Hydroxide", "Phosphorus", "Desorption", "opendata", "Boden"], "contacts": [{"name": "Stella Gypser", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["author"], "phones": [{"value": "00 49 (0) 355 693318"}], "emails": [{"value": "stella.gypser@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4765-8067", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stella Gypser", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["dataCollector"], "phones": [{"value": "00 49 (0) 355 693318"}], "emails": [{"value": "stella.gypser@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4765-8067", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Dirk Freese", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["workPackageLeader"], "phones": [{"value": "00 49 (0) 355 694238"}], "emails": [{"value": "dirk.freese@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-9837-7441", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 381 498 3120"}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=210e3f7e-bf7e-44f3-9c14-49d4c0068f0d", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "210e3f7e-bf7e-44f3-9c14-49d4c0068f0d", "name": "item", "description": "210e3f7e-bf7e-44f3-9c14-49d4c0068f0d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/210e3f7e-bf7e-44f3-9c14-49d4c0068f0d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-29T00:00:00Z"}}, {"id": "2eed3d66-84cd-4dd0-bce5-e4fa1560af7a", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Phosphate fertilizers"}, {"id": "fertilizers"}, {"id": "farm inputs"}, {"id": "Phosphates"}, {"id": "Bones"}, {"id": "Laboratory experimentation"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Vivianite"}, {"id": "Hydroxyapatite"}, {"id": "Bone char"}, {"id": "Citric acid"}, {"id": "Phosphorus"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - InnoSoilPhos's research activities.\"\n\nAlthough every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and  the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2020-07-29", "type": "Dataset", "created": "2020-03-06", "language": "eng", "title": "P release kinetics from vivianite, hydroxyapatite and bone char", "description": "The bone char used for P release experiments was produced by Bonechar Carv\u00e3o Ativado Do Brasil Ltda. (Maring\u00e1, Brazil) in 2015. It has been manufactured by pyrolysis of rendered (de-fatted) bovine bones at more than 800\u00b0C. A particle size analysis of the bone char was carried out, whereby 100 g of char was divided into three particle size fractions:  200 \u00b5m, 200 - 2000 \u00b5m, and 2000 \u00b5m. The P bearing minerals used were the commercially available Ca-phosphate hydroxyapatite (Ca5[OH(PO4)3]) (Acros Organics, Geel, Belgium) and the Fe-phosphate vivianite (Fe32+[PO4]2 \u00b7 8H2O). Vivianite was prepared where 250 ml of a 0.035 M H3PO4-solution were added to solid FeSO4. The resulting 0.05 M FeSO4-solution was adjusted to pH 6 with 5 M KOH. The precipitate formed was centrifuged for 5 min at 2090 \u00d7 G and washed with ultrapure water. The prepared vivianite was dried at 40\u00b0C and ground into powder using mortar and pestle. P, Ca, and Fe were determined using ICP-AES after pressure digestion or aqua regia digestion.\nThe composition of hydroxyapatite and vivianite was verified using X-ray diffraction (XRD). The specific surface area was determined with an Autosorb-1 (Quantachrome, Odelzhausen, Germany) using a multi-point BET-measurement (Brunauer-Emmett-Teller) and N2 as adsorptive medium. The specific surface area of hydroxyapatite was with 68.4 m\u00b2 g-1 1.7 fold higher than for vivianite with 39.5 m\u00b2 g-1. Bone char had the highest specific surface area with values in the range from 92.1 to 94.8 m\u00b2 g-1, increasing with decreasing particle size.\nP release experiments were conducted in triplicate by using a batch setup with an initial pH of 6. For this, 2.5 g of the bone char and the phosphate minerals were weighed into PE bottles. Batch solubilization experiments were performed with CaCl2 (Merck Millipore) and citric acid with the formula C6H8O7 (99 %, Alfa Aesar), adjusted to pH 6 with KOH. These reaction solutions were used in concentrations 0.01 M, 0.05 M, and 0.1 M, respectively. 50 ml reaction solution was added to the bone char samples and 40 ml was added to hydroxyapatite and vivianite samples, respectively. The samples were shaken on a horizontal shaker for 24 h at 200 motions min-1, centrifuged for 15 min at 2090 \u00d7 G, and the supernatant was filtrated by using P-poor Whatman 512 1/2 filters. Following, fresh reaction solution was added to the samples. Samples for P measurement were taken after 2, 6, 24, 48, and 168 h.\nThe cumulative P release based on 168 h with CaCl2 is very low for all used materials. While the total P release for bone char was close to the detection limit, minor P concentrations were measured for vivianite and hydroxyapatite, which increased slightly with increasing CaCl2 concentration. The use of citric acid enabled significantly more P to be solved, whereby an increase of dissolved P with increasing citric acid concentration was measured as well. At low citric acid concentration of 0.01 M, the lowest amount of P was released from bone char, where most P was released from the smallest particle fraction. In total, most P was released from hydroxyapatite after 168 hours.\n\nResearch domain: Plant Nutrition\n\nResearch question: Which P bindings are formed on the various mineral Fe- and Al-hydroxide surfaces and how do inorganic and organic compounds contribute to the availability of both adsorbed/precipitated and naturally bound phosphorus from phosphate minerals?", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Phosphate fertilizers", "fertilizers", "farm inputs", "Phosphates", "Bones", "Laboratory experimentation", "Vivianite", "Hydroxyapatite", "Bone char", "Citric acid", "Phosphorus", "opendata", "Boden"], "contacts": [{"name": "Stella Gypser", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["author"], "phones": [{"value": "00 49 (0) 355 693318"}], "emails": [{"value": "stella.gypser@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4765-8067", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stella Gypser", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["dataCollector"], "phones": [{"value": "00 49 (0) 355 693318"}], "emails": [{"value": "stella.gypser@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4765-8067", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Dirk Freese", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["workPackageLeader"], "phones": [{"value": "00 49 (0) 355 694238"}], "emails": [{"value": "dirk.freese@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-9837-7441", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 381 498 3120"}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=2eed3d66-84cd-4dd0-bce5-e4fa1560af7a", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "2eed3d66-84cd-4dd0-bce5-e4fa1560af7a", "name": "item", "description": "2eed3d66-84cd-4dd0-bce5-e4fa1560af7a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2eed3d66-84cd-4dd0-bce5-e4fa1560af7a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-29T00:00:00Z"}}, {"id": "3036446340", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:53Z", "type": "Journal Article", "created": "2020-06-18", "title": "Influence of Dissolved Organic Matter Sources on In-Stream Net Dissolved Organic Carbon Uptake in a Mediterranean Stream", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Studies exploring how different sources of dissolved organic matter (DOM) influence in-stream dissolved organic carbon (DOC) uptake at the ecosystem scale are scarce in the literature. To fill this knowledge gap, we examined the relationship between DOM sources and in-stream net DOC uptake (UDOC) in a sub-humid Mediterranean stream. We considered four reach-scale scenarios occurring under natural conditions that differed in predominant DOM sources (groundwater, leaf litter, and/or upstream water). Results showed that groundwater inputs favored in-stream net DOC uptake, while leaf litter inputs promoted in-stream net DOC release. However, there was no clear effect of DOM source mixing on the magnitude of UDOC. Further, the variability in UDOC within and among scenarios was mostly explained by stream DOC concentration, suggesting that DOC availability limits microbial activity in this stream. DOM composition became a controlling factor of UDOC variability only during the leaf litter period, when stream DOC concentration was the highest. Together, these results suggest that the capacity of headwater forested streams to process DOC is closely tied to the availability of different DOM sources and how they vary over time and along the river network.</p></article>", "keywords": ["[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "leaf litter", "carbon availability", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "577", "Leaf litter", "910", "15. Life on land", "dissolved organic carbon", "01 natural sciences", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Dissolved organic matter composition", "groundwater inputs", "13. Climate action", "Groundwater inputs", "dissolved organic matter composition", "In-stream net uptake", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "Dissolved organic carbon", "environment", "in-stream net uptake", "Carbon availability", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/12/6/1722/pdf"}, {"href": "https://www.mdpi.com/2073-4441/12/6/1722/pdf"}, {"href": "https://doi.org/3036446340"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3036446340", "name": "item", "description": "3036446340", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3036446340"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-17T00:00:00Z"}}, {"id": "3045287773", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:25:53Z", "type": "Journal Article", "created": "2020-07-27", "title": "Persistence of soil organic carbon caused by functional complexity", "description": "Soil organic carbon management has the potential to aid climate change mitigation through drawdown of atmospheric carbon dioxide. To be effective, such management must account for processes influencing carbon storage and re-emission at different space and time scales. Achieving this requires a conceptual advance in our understanding to link carbon dynamics from the scales at which processes occur to the scales at which decisions are made. Here, we propose that soil carbon persistence can be understood through the lens of decomposers as a result of functional complexity derived from the interplay between spatial and temporal variation of molecular diversity and composition. For example, co-location alone can determine whether a molecule is decomposed, with rapid changes in moisture leading to transport of organic matter and constraining the fitness of the microbial community, while greater molecular diversity may increase the metabolic demand of, and thus potentially limit, decomposition. This conceptual shift accounts for emergent behaviour of the microbial community and would enable soil carbon changes to be predicted without invoking recalcitrant carbon forms that have not been observed experimentally. Functional complexity as a driver of soil carbon persistence suggests soil management should be based on constant care rather than one-time action to lock away carbon in soils.", "keywords": ["[SDE] Environmental Sciences", "DECOMPOSITION", "2. Zero hunger", "106022 Mikrobiologie", "[SDE.MCG]Environmental Sciences/Global Changes", "UNCERTAINTY", "04 agricultural and veterinary sciences", "INPUTS", "15. Life on land", "TRANSPORT", "MODEL", "[SDE.MCG] Environmental Sciences/Global Changes", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "[SDE]Environmental Sciences", "SDG 13 - Climate Action", "Meteorology & Atmospheric Sciences", "106022 Microbiology", "GROWTH", "0401 agriculture", " forestry", " and fisheries", "TURNOVER", "PLANT", "106026 Ecosystem research", "MATTER"]}, "links": [{"href": "http://www.nature.com/articles/s41561-020-0612-3.pdf"}, {"href": "https://escholarship.org/content/qt84n3398c/qt84n3398c.pdf"}, {"href": "https://doi.org/3045287773"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Geoscience", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3045287773", "name": "item", "description": "3045287773", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3045287773"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-27T00:00:00Z"}}, {"id": "8170ee67-01c9-42b6-82ae-1b6442e5bdc3", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.08, 51.14], [9.08, 53.35], [11.62, 53.35], [11.62, 51.14], [9.08, 51.14]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Phosphate fertilizers"}, {"id": "Phosphates"}, {"id": "Phosphate fertilizers"}, {"id": "farm inputs"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - InnoSoilPhos's research activities.\"\n\nAlthough every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and  the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2021-01-28", "type": "Dataset", "created": "2019-11-14", "language": "eng", "title": "Field experiment FV 4 Braunschweig \u2013 harvest of winter barley 2014", "description": "The phosphorus (P) taken up by organisms cannot be substituted from any other element; the only source of an increasing P demand for feeding the growing global population is mineable rock phosphate, upgraded to mineral P fertilizer. There are concerns about the global reserves of rock phosphates, expressed in terms of \u201cpeak phosphorus\u201d (demand production). Bone char (BC) produced of de-fatted and de-gelatinized bones (15% P, 28% Calcium, 1% Magnesium) from slaughterhouses by a pyrolysis process could be an alternative source of P. Phosphorus in BC is mainly bound in a structure similar to hydroxylapatite (HA) in accordance with their origin from bones. Generally, P in HA is of low solubility and, consequently, it cannot be expected that bones or BC have a high fertilization value. Consequently, further attempts were directed to increase the P solubility of BC by a sulfur (S) enrichment leading to so called BCplus (patent DE102011010525). \nA former long-term field P fertilization trial (1985-2008) led to distinctive differences in available soil P (PCAL) concentrations. For some detailed description of the former experiment and further soil information see: Vogeler, I.; Rogasik, J.; Funder, U.; Panten, K.; Schnug, E. (2009) Effect of tillage systems and P-fertilization on soil physical and chemical properties, crop yield and nutrient uptake. Soil and Tillage Research 103 (1): 137-143.The resulting differences in soil P were conserved below an extensively managed grassland until 2013 when the experiment was ploughed to a depth of 25 cm and oat was seeded. After the harvest of 2013, the newly designed experiment (FV 4) was established testing the fertilizing potential of BC and BCplus. According to their mean PCAL concentrations (0-30 cm) one third of the plots were assigned to soil class A (11 mg kg-1 PCAL), B (21 mg kg-1 PCAL), and C (47 mg kg-1 PCAL) each. The experiment was set up as a completely randomized block design with three replicates, a plot size of 5.75 m * 17.5 m, and crop rotation of winter barley, winter oilseed rape, winter wheat, lupine and winter rye. Chisel ploughing and ploughing to a depth of 25 cm incorporates crop residues before seeding. Additionally to a control without P fertilization (P0), three different types of P fertilizer (BC, BCplus, TSP) are applied to an equivalent of 45 kg ha-1 P once a year shortly before seeding since autumn 2013.  \nThis data set presents the first harvest of winter barley (Hordeum vulgare L., variety OTTO) in 2014.\n\nResearch domain: Plant Nutrition", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Phosphate fertilizers", "Phosphates", "Phosphate fertilizers", "farm inputs", "opendata", "Boden"], "contacts": [{"name": "Panten, Kerstin", "organization": "Julius K\u00fchn-Institut, Institut f\u00fcr Pflanzenbau und Bodenkunde", "position": "Research Scientist", "roles": ["author"], "phones": [{"value": "00 49 (0) 531 5962111"}], "emails": [{"value": "kerstin.panten@julius-kuehn.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 69"], "city": "Braunschweig", "administrativeArea": "Lower Saxony", "postalCode": "38116", "country": "Germany"}], "links": [{"href": {"url": "https://orcid.org/", "protocol": null, "protocol_url": "", "name": "0000-0003-3723-7549", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Panten, Kerstin", "organization": "Julius K\u00fchn-Institut, Institut f\u00fcr Pflanzenbau und Bodenkunde", "position": "Research Scientist", "roles": ["projectLeader"], "phones": [{"value": "00 49 (0) 531 5962111"}], "emails": [{"value": "kerstin.panten@julius-kuehn.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 69"], "city": "Braunschweig", "administrativeArea": "Lower Saxony", "postalCode": "38116", "country": "Germany"}], "links": [{"href": {"url": "https://orcid.org/", "protocol": null, "protocol_url": "", "name": "000-0003-3723-7549", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Julius K\u00fchn-Institut, Institut f\u00fcr Pflanzenbau und Bodenkunde", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=8170ee67-01c9-42b6-82ae-1b6442e5bdc3", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "8170ee67-01c9-42b6-82ae-1b6442e5bdc3", "name": "item", "description": "8170ee67-01c9-42b6-82ae-1b6442e5bdc3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/8170ee67-01c9-42b6-82ae-1b6442e5bdc3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-28T00:00:00Z"}}, {"id": "3c4bd99a-4068-4a6d-a4c3-d7b60fffe075", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.11, 52.51], [14.11, 52.52], [14.13, 52.52], [14.13, 52.51], [14.11, 52.51]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Langzeitversuch"}, {"id": "Landwirtschaft"}, {"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "D\u00fcngung"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "agriculture"}, {"id": "Field experimentation"}, {"id": "Fertilization"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Fertilizer application"}, {"id": "Fertilization"}, {"id": "Potassium"}, {"id": "Phosphorus"}, {"id": "Biofertilizers"}, {"id": "farm inputs"}, {"id": "fertilizers"}, {"id": "Composts"}, {"id": "Organic fertilizers"}, {"id": "Phosphate fertilizers"}, {"id": "nitrogen fertilizers"}, {"id": "Inorganic fertilizers"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Dauerfeldversuch"}, {"id": "Dauerversuch"}, {"id": "Langzeitfeldversuch"}, {"id": "Langzeitversuch"}, {"id": "Dauerd\u00fcngungversuch"}, {"id": "Langzeitd\u00fcngungsversuch"}, {"id": "DFV"}, {"id": "DDV"}, {"id": "DV"}, {"id": "Long-Term Field Experiment"}, {"id": "Long-Term Experiment"}, {"id": "Long-Term Trial"}, {"id": "Long-Term Field Trial"}, {"id": "Long-Term Fertilizer Experiment"}, {"id": "Long-Term Soil Experiment"}, {"id": "LTFE"}, {"id": "LTE"}, {"id": "LTSE"}], "scheme": "individual"}], "rights": "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 re-used from the BonaRes Data Centre (www.bonares.de). These data were created as part of ZALF research activities\". Although every care has been taken in preparing and testing the data, ZALF and BonaRes Data Centre cannot guarantee that the data are correct; neither does ZALF and 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 and Data Centre will not be responsible for any direct or indirect use which might be made of the data. If access to actual data is requested, please contact the data owner/author because these underlay an embargo. Please cite as: Barkusky et al. 2018, LTFE V140, ZALF M\u00fcncheberg, Table \"Fertilization\". 10.20387/BonaRes-BSVY-R418\n\nThis data/file was excluded from further dissemination and should no longer be used.", "updated": "2020-12-01", "type": "Dataset", "created": "2018-05-17", "language": "eng", "title": "Long-term field experiment V140 Muencheberg from 1963 to 2009 - Fertilization", "description": "This data/file has been withdrawn by the author and is no longer available for free reuse.\n\nAuthor's statement: The published LTE-data was withdrawn and replaced by an updated Version.The usability of the tables is enhanced and the experiment can be analyzed in the new Version as a single factorial experiment. The tables FAKTOR_1_STUFE and FAKTOR_2_STUFE were not longer necessary.\n\nTable with information about applied fertilizing measures", "formats": [{"name": "CSV"}], "keywords": ["Langzeitversuch", "Landwirtschaft", "Boden", "D\u00fcngung", "agriculture", "Field experimentation", "Fertilization", "Fertilizer application", "Fertilization", "Potassium", "Phosphorus", "Biofertilizers", "farm inputs", "fertilizers", "Composts", "Organic fertilizers", "Phosphate fertilizers", "nitrogen fertilizers", "Inorganic fertilizers", "Dauerfeldversuch", "Dauerversuch", "Langzeitfeldversuch", "Langzeitversuch", "Dauerd\u00fcngungversuch", "Langzeitd\u00fcngungsversuch", "DFV", "DDV", "DV", "Long-Term Field Experiment", "Long-Term Experiment", "Long-Term Trial", "Long-Term Field Trial", "Long-Term Fertilizer Experiment", "Long-Term Soil Experiment", "LTFE", "LTE", "LTSE"], "contacts": [{"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data'  - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "AG - Versuchswesen Service Experimental Station M\u00fcncheberg", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Dietmar Barkusky", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": "+49 33432 82 168"}], "emails": [{"value": "dbarkusky@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}]}, "links": [{"href": "https://ltfe-map.bonares.de/", "rel": "information"}, {"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=3c4bd99a-4068-4a6d-a4c3-d7b60fffe075", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/v140_mun.PNG", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/05dda4f7-17f9-4b57-bf1d-21a51725eada", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3c4bd99a-4068-4a6d-a4c3-d7b60fffe075", "name": "item", "description": "3c4bd99a-4068-4a6d-a4c3-d7b60fffe075", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3c4bd99a-4068-4a6d-a4c3-d7b60fffe075"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1963-01-01T00:00:00Z", "2009-12-31T00:00:00Z"]}}, {"id": "0374373d-7928-4422-b012-264eae21e75e", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[14.11, 52.51], [14.11, 52.52], [14.13, 52.52], [14.13, 52.51], [14.11, 52.51]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Langzeitversuch"}, {"id": "Landwirtschaft"}, {"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "D\u00fcngung"}], "scheme": "GEMET - Concepts, version 2.4"}, {"concepts": [{"id": "agriculture"}, {"id": "Field experimentation"}, {"id": "Fertilization"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Fertilizer application"}, {"id": "Fertilization"}, {"id": "Potassium"}, {"id": "Phosphorus"}, {"id": "Biofertilizers"}, {"id": "farm inputs"}, {"id": "fertilizers"}, {"id": "Composts"}, {"id": "Organic fertilizers"}, {"id": "Phosphate fertilizers"}, {"id": "nitrogen fertilizers"}, {"id": "Inorganic fertilizers"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Dauerfeldversuch"}, {"id": "Dauerversuch"}, {"id": "Langzeitfeldversuch"}, {"id": "Langzeitversuch"}, {"id": "Dauerd\u00fcngungversuch"}, {"id": "Langzeitd\u00fcngungsversuch"}, {"id": "DFV"}, {"id": "DDV"}, {"id": "DV"}, {"id": "Long-Term Field Experiment"}, {"id": "Long-Term Experiment"}, {"id": "Long-Term Trial"}, {"id": "Long-Term Field Trial"}, {"id": "Long-Term Fertilizer Experiment"}, {"id": "Long-Term Soil Experiment"}, {"id": "LTFE"}, {"id": "LTE"}, {"id": "LTSE"}], "scheme": "individual"}], "rights": "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 re-used from the BonaRes Data Centre (www.bonares.de). These data were created as part of ZALF research activities\". Although every care has been taken in preparing and testing the data, ZALF and BonaRes Data Centre cannot guarantee that the data are correct; neither does ZALF and 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 and Data Centre will not be responsible for any direct or indirect use which might be made of the data. If access to actual data is requested, please contact the data owner/author because these underlay an embargo. Please cite as: Barkusky et al. 2018, LTFE V140, ZALF M\u00fcncheberg, Table \"Fertilization\". 10.20387/BonaRes-BSVY-R418 This data/file was excluded from further dissemination and should no longer be used. To cite the complete datacollection: Barkusky et al. (2021). LTE V140, ZALF M\u00fcncheberg, (Version 2.0). Leibniz Centre for Agricultural Landscape Research (ZALF). DOI: 10.20387/bonares-8fhj-r52g To cite the individual table: Barkusky et al. (2021). LTE V140, ZALF M\u00fcncheberg, (Version 2.0). Table: V2_0_2012_DUENGUNG. Leibniz Centre for Agricultural Landscape Research (ZALF). DOI: 10.20387/bonares-8fhj-r52g", "updated": "2021-05-03", "type": "Dataset", "created": "2018-05-17", "language": "eng", "title": "Long-term field experiment V140 Muencheberg from (launched in 1963) - Fertilization", "description": "Child table of long-term field experiment V140 Muencheberg. \n\nTable with information about applied fertilizing measures. General description about the V140 experiment can be found in the table V140 - Plots. More information about database schema, assorted literature overview, the detailed location plan, etc.can be found in the supplemental material.", "formats": [{"name": "CSV"}], "keywords": ["Langzeitversuch", "Landwirtschaft", "Boden", "D\u00fcngung", "agriculture", "Field experimentation", "Fertilization", "Fertilizer application", "Fertilization", "Potassium", "Phosphorus", "Biofertilizers", "farm inputs", "fertilizers", "Composts", "Organic fertilizers", "Phosphate fertilizers", "nitrogen fertilizers", "Inorganic fertilizers", "Dauerfeldversuch", "Dauerversuch", "Langzeitfeldversuch", "Langzeitversuch", "Dauerd\u00fcngungversuch", "Langzeitd\u00fcngungsversuch", "DFV", "DDV", "DV", "Long-Term Field Experiment", "Long-Term Experiment", "Long-Term Trial", "Long-Term Field Trial", "Long-Term Fertilizer Experiment", "Long-Term Soil Experiment", "LTFE", "LTE", "LTSE"], "contacts": [{"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Experimental Station M\u00fcncheberg (Service)", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Experimental Infrastructure Platform", "roles": ["projectLeader"], "phones": [{"value": "+49 33432 82 168"}], "emails": [{"value": "dbarkusky@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Dietmar Barkusky", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": "+49 33432 82 168"}], "emails": [{"value": "dbarkusky@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}]}, "links": [{"href": "https://ltfe-map.bonares.de/", "rel": "information"}, {"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=0374373d-7928-4422-b012-264eae21e75e", "rel": "download"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/v140_mun_v2.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e1562f46-4a0d-4d8a-ac13-44cb47366e36", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "0374373d-7928-4422-b012-264eae21e75e", "name": "item", "description": "0374373d-7928-4422-b012-264eae21e75e", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0374373d-7928-4422-b012-264eae21e75e"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1963-01-01T00:00:00Z", "2012-12-31T00:00:00Z"]}}, {"id": "e9e5c4f6-cd43-4b91-9504-33e4850b2e37", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.08, 51.14], [9.08, 53.35], [11.62, 53.35], [11.62, 51.14], [9.08, 51.14]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2021-03-03", "type": "Service", "created": "2019-11-14", "language": "eng", "title": "WMS Service of the dataset 'Field experiment FV 4 Braunschweig \u2013 harvest of winter barley 2014'", "description": "This WMS Service includes spatial information used by datasets 'WMS Service of the dataset 'Field experiment FV 4 Braunschweig \u2013 harvest of winter barley 2014''", "keywords": ["infoMapAccessService", "Soil", "Phosphate fertilizers", "Phosphates", "Phosphate fertilizers", "farm inputs"], "contacts": [{"name": "Panten, Kerstin", "organization": "Julius K\u00fchn-Institut, Institut f\u00fcr Pflanzenbau und Bodenkunde", "position": "Research Scientist", "roles": ["author"], "phones": [{"value": "00 49 (0) 531 5962111"}], "emails": [{"value": "kerstin.panten@julius-kuehn.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 69"], "city": "Braunschweig", "administrativeArea": "Lower Saxony", "postalCode": "38116", "country": "Germany"}], "links": [{"href": {"url": "https://orcid.org/", "protocol": null, "protocol_url": "", "name": "0000-0003-3723-7549", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Panten, Kerstin", "organization": "Julius K\u00fchn-Institut, Institut f\u00fcr Pflanzenbau und Bodenkunde", "position": "Research Scientist", "roles": ["projectLeader"], "phones": [{"value": "00 49 (0) 531 5962111"}], "emails": [{"value": "kerstin.panten@julius-kuehn.de"}], "addresses": [{"deliveryPoint": ["Bundesallee 69"], "city": "Braunschweig", "administrativeArea": "Lower Saxony", "postalCode": "38116", "country": "Germany"}], "links": [{"href": {"url": "https://orcid.org/", "protocol": null, "protocol_url": "", "name": "000-0003-3723-7549", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Julius K\u00fchn-Institut, Institut f\u00fcr Pflanzenbau und Bodenkunde", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "Phosphate fertilizers"}, {"id": "Phosphates"}, {"id": "Phosphate fertilizers"}, {"id": "farm inputs"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=e9e5c4f6-cd43-4b91-9504-33e4850b2e37", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/INNOSOILPHOS_ID_4035_Location/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/INNOSOILPHOS_ID_4035_Location/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/INNOSOILPHOS_ID_4035_Location/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Innosoilphos/INNOSOILPHOS_ID_4035_Location/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "e9e5c4f6-cd43-4b91-9504-33e4850b2e37", "name": "item", "description": "e9e5c4f6-cd43-4b91-9504-33e4850b2e37", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/e9e5c4f6-cd43-4b91-9504-33e4850b2e37"}, {"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": "9dd3bd40-4ce9-4bda-8642-85415cf3a3ed", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Phosphate fertilizers"}, {"id": "fertilizers"}, {"id": "farm inputs"}, {"id": "Phosphates"}, {"id": "Bones"}, {"id": "Laboratory experimentation"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Fe- Al-Hydroxide"}, {"id": "Phosphorus"}, {"id": "Adsorption"}, {"id": "FT-IR spectrsocopy"}, {"id": "Gibbsite"}, {"id": "Ferrihydrite"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Phosphorus"}, {"id": "Adsorption"}, {"id": "Spectroscopy"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - InnoSoilPhos's research activities.\"\n\nAlthough every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and  the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2020-07-29", "type": "Dataset", "created": "2020-03-06", "language": "eng", "title": "Normalized FT-IR spectra of crystalline and amorphous Fe- Al-hydroxides during P adsorption", "description": "Fourier-Transform Infrared (FT-IR) spectroscopic analyses were carried out during P adsorption on highly crystalline gibbsite, poorly crystalline 2-line-ferrihydrite and amorphous Fe:Al-hydroxide mixtures in the molar ratio 1:0, 10:1, 1:1, 1:10 and 0:1. The elemental composition of the adsorbents was verified by using SEM-EDX, scanning electron microscopy (DSM 962, Zeiss, Oberkochen, Germany) with energy dispersive X-ray spectroscopy (X-Max 50 mm\u00b2 with INCA, Oxford Instruments, Abingdon, Great Britain). The formation of pure Al(OH)3 and FeO(OH) for the amorphous hydroxides was revealed. Determination of the adsorbent crystallization as well as amorphous structures was carried out by X-ray diffraction (XRD) using a PANalytical Empyrean powder diffractometer (Almelo, Netherlands) from GFZ Potsdam, with a theta-theta-goniometer, Cu-K\u03b1 radiation (\u03bb=0.15418 nm), automatic divergent and anti-scatter slits and a PIXcel3D detector. Diffraction data were recorded from 4.6\u00b0 to 84.9\u00b0 2\u03f4 with a step-size of 0.0131 and a step time of 58.4 s. The generator settings were 40 kV and 40 mA. Specific surface areas of all adsorbents were determined with an Autosorb-1 (Quantachrome, Odelzhausen, Germany) using a multi-point BET-measurement (Brunauer-Emmett-Teller) and N2 as adsorptive medium. \nP adsorption was investigated with batch experiments, in which a solid-solution ratio of 1:20 was chosen for gibbsite, and a solid-solution ratio of 1:200 was chosen for ferrihydrite and the Fe:Al-hydroxide mixtures due to their high specific surface areas and P-adsorption capacity. The initial P-concentrations for the adsorption experiments were 150 \u00b5mol l-1, 1000 \u00b5mol l-1 and 2000 \u00b5mol l-1  KH2PO4 for gibbsite and 1000 \u00b5mol l-1, 2000 \u00b5mol l-1 and 5000 \u00b5mol l-1 KH2PO4 for ferrihydrite and the Fe:Al-hydroxides with a 0.01 mol l-1 CaCl2-background electrolyte solution, adjusted to a pH of 6. For P measurements, the gibbsite and ferrihydrite samples were centrifuged for 15 min at 336 \u00d7 G, while the Fe:Al-hydroxide samples were centrifuged for 15 min at 21572 \u00d7 G. The clear supernatant was filtered by using P-poor Whatman 512 1/1 filters. For FT-IR spectroscopic measurements, the remaining solid matter was dried for 24 h at 40\u00b0C, stored overnight in a desiccator and analyzed without further treatment. IR spectroscopic measurements were carried out by measurement of the absorbance in the FT-IR DRIFT mode (Tensor 27 HTS-XT, Bruker, Billerica, USA) with 40 scans per sample, a wavenumber range from 4000 to 400 cm-1, and a resolution of 1.9 cm-1.\n\nResearch domain: Plant Nutrition\n\nResearch question: Which P bindings are formed on the various mineral Fe- and Al-hydroxide surfaces and how do inorganic and organic compounds contribute to the availability of both adsorbed/precipitated and naturally bound phosphorus from phosphate minerals?", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Phosphate fertilizers", "fertilizers", "farm inputs", "Phosphates", "Bones", "Laboratory experimentation", "Fe- Al-Hydroxide", "Phosphorus", "Adsorption", "FT-IR spectrsocopy", "Gibbsite", "Ferrihydrite", "opendata", "Boden", "Phosphorus", "Adsorption", "Spectroscopy"], "contacts": [{"name": "Stella Gypser", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["author"], "phones": [{"value": "00 49 (0) 355 693318"}], "emails": [{"value": "stella.gypser@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4765-8067", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stella Gypser", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["dataCollector"], "phones": [{"value": "00 49 (0) 355 693318"}], "emails": [{"value": "stella.gypser@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4765-8067", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "BonaRes Data Centre", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - WG Geodata", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 171"}], "emails": [{"value": "bonares-datenzentrum@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Dirk Freese", "organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "position": "Researcher", "roles": ["workPackageLeader"], "phones": [{"value": "00 49 (0) 355 694238"}], "emails": [{"value": "dirk.freese@b-tu.de"}], "addresses": [{"deliveryPoint": ["Konrad-Wachsmann-Allee 6"], "city": "Cottbus", "administrativeArea": "Brandenburg", "postalCode": "03046", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-9837-7441", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Leinweber, Peter", "organization": "University of Rostock", "position": "Professor", "roles": ["projectLeader"], "phones": [{"value": "+49 381 498 3120"}], "emails": [{"value": "peter.leinweber@uni-rostock.de"}], "addresses": [{"deliveryPoint": ["Justus-von-Liebig-Weg 6"], "city": "Rostock", "administrativeArea": "Mecklenburg-Vorpommern", "postalCode": "18051", "country": "Germany"}], "links": [{"href": null}]}, {"organization": "Brandenburgische Technische Universit\u00e4t Cottbus-Senftenberg", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=9dd3bd40-4ce9-4bda-8642-85415cf3a3ed", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "9dd3bd40-4ce9-4bda-8642-85415cf3a3ed", "name": "item", "description": "9dd3bd40-4ce9-4bda-8642-85415cf3a3ed", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/9dd3bd40-4ce9-4bda-8642-85415cf3a3ed"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-29T00:00:00Z"}}, {"id": "2d43d8f7-e485-4df8-aea1-f68347efeabd", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[5.81, 47.26], [5.81, 54.76], [15.77, 54.76], [15.77, 47.26], [5.81, 47.26]]]}, "properties": {"themes": [{"concepts": [{"id": "environment"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Phosphates"}, {"id": "Phosphate fertilizers"}, {"id": "fertilizers"}, {"id": "farm inputs"}, {"id": "Bones"}, {"id": "Laboratory experimentation"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Phosphorus"}, {"id": "Adsorption"}, {"id": "Goethite"}, {"id": "Gibbsite"}, {"id": "Ferrihydrite"}, {"id": "Hydroxide"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}, {"id": "Phosphorus"}, {"id": "Adsorption"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - InnoSoilPhos's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - InnoSoilPhos and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - InnoSoilPhos and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data. The access to this data is restricted during embargo time. If prior access is requested, contact the data owner / author.", "updated": "2023-04-12", "type": "Dataset", "created": "2020-03-06", "language": "eng", "title": "Kinetics of P adsorption on crystalline and amorphous Fe- and Al-hydroxides", "description": "P adsorption was investigated using batch experiments on highly crystalline goethite and gibbsite, poorly crystalline 2-line-ferrihydrite and amorphous Fe:Al-hydroxide mixtures in the molar ratio 1:0, 10:1, 1:1, 1:10 and 0:1. A solid-solution ratio of 1:20 was chosen for gibbsite, and a solid-solution ratio of 1:200 was chosen for ferrihydrite and the Fe:Al-hydroxide mixtures due to their high specific surface areas and P-adsorption capacity. The initial P-concentrations for the adsorption experiments were 150 \u00b5mol l-1, 1000 \u00b5mol l-1 and 2000 \u00b5mol l-1  KH2PO4 for gibbsite and 1000 \u00b5mol l-1, 2000 \u00b5mol l-1 and 5000 \u00b5mol l-1 KH2PO4 for ferrihydrite and the Fe:Al-hydroxides with a 0.01 mol l-1 CaCl2-background electrolyte solution, adjusted to a pH of 6. For P measurements, the gibbsite and ferrihydrite samples were centrifuged for 15 min at 336 \u00d7 G, while the Fe:Al-hydroxide samples were centrifuged for 15 min at 21572 \u00d7 G. The clear supernatant was filtered by using P-poor Whatman 512 1/1 filters.\nThe elemental composition of the adsorbents was verified by using SEM-EDX, scanning electron microscopy (DSM 962, Zeiss, Oberkochen, Germany) with energy dispersive X-ray spectroscopy (X-Max 50 mm\u00b2 with INCA, Oxford Instruments, Abingdon, Great Britain). The formation of pure Al(OH)3 and FeO(OH) for the amorphous hydroxides was revealed. Determination of the adsorbent crystallization as well as amorphous structures was carried out by X-ray diffraction (XRD) using a PANalytical Empyrean powder diffractometer (Almelo, Netherlands) from GFZ Potsdam, with a theta-theta-goniometer, Cu-K\u03b1 radiation (\u03bb=0.15418 nm), automatic divergent and anti-scatter slits and a PIXcel3D detector. Diffraction data were recorded from 4.6\u00b0 to 84.9\u00b0 2\u03f4 with a step-size of 0.0131 and a step time of 58.4 s. The generator settings were 40 kV and 40 mA. Specific surface areas of all adsorbents were determined with an Autosorb-1 (Quantachrome, Odelzhausen, Germany) using a multi-point BET-measurement (Brunauer-Emmett-Teller) and N2 as adsorptive medium. \nThe P adsorption kinetics of goethite showed an adsorbed P amount of 100 % (0.2 \u00b5mol m-2) for an initial P concentration of 150 \u00b5mol l-1, 100 % (1.2 \u00b5mol m-2) for an initial P concentration of 1000 \u00b5mol l-1, and 100 % (2.4 \u00b5mol m-2) for an initial P concentration of 2000 \u00b5mol l-1, respectively after an adsorption time of 2688 h (16 weeks). \nThe P adsorption by gibbsite increased strongly with increasing initial P concentration and totaled 100 % (3.2 \u00b5mol m-2) for an initial P concentration of 150 \u00b5mol l-1, 45 % (10.2 \u00b5mol m-2) for an initial P concentration of 1000 \u00b5mol l-1, and 42 % (19.5 \u00b5mol m-2) for an initial P concentration of 2000 \u00b5mol l-1, respectively after an adsorption time of 2688 h. \nThe P adsorption kinetics of ferrihydrite showed an adsorbed P amount of 100 % (0.01 \u00b5mol m-2) for an initial P concentration of 1000 \u00b5mol l-1, 100 % (0.07 \u00b5mol m-2) for an initial P concentration of 2000 \u00b5mol l-1, and 99 % (0.14 \u00b5mol m-2) for an initial P concentration of 5000 \u00b5mol l-1, respectively after an adsorption time of 2688 h.\nThe P adsorption kinetics of 1 Fe:0 Al showed an adsorbed P amount of 100 % (17.6 \u00b5mol m-2) for an initial P concentration of 1000 \u00b5mol l-1, 100 % (35.7 \u00b5mol m-2) for an initial P concentration of 2000 \u00b5mol l-1, and 100 % (88.5 \u00b5mol m-2) for an initial P concentration of 5000 \u00b5mol l-1, respectively after an adsorption time of 2688 h.\nThe P adsorption kinetics of 10 Fe:1 Al showed an adsorbed P amount of 100 % (0.8 \u00b5mol m-2) for an initial P concentration of 1000 \u00b5mol l-1, 100 % (1.6 \u00b5mol m-2) for an initial P concentration of 2000 \u00b5mol l-1, and 100 % (4.1 \u00b5mol m-2) for an initial P concentration of 5000 \u00b5mol l-1, respectively after an adsorption time of 2688 h.\nThe P adsorption kinetics of 5 Fe:1 Al showed an adsorbed P amount of 100 % (0.9 \u00b5mol m-2) for an initial P concentration of 1000 \u00b5mol l-1, 100 % (1.8 \u00b5mol m-2) for an initial P concentration of 2000 \u00b5mol l-1, and 100 % (4.6 \u00b5mol m-2) for an initial P concentration of 5000 \u00b5mol l-1, respectively after an adsorption time of 2688 h.\nThe P adsorption kinetics of 1 Fe:1 Al showed an adsorbed P amount of 99 % (2.5 \u00b5mol m-2) for an initial P concentration of 1000 \u00b5mol l-1, 100 % (5.0 \u00b5mol m-2) for an initial P concentration of 2000 \u00b5mol l-1, and 100 % (12.6 \u00b5mol m-2) for an initial P concentration of 5000 \u00b5mol l-1, respectively after an adsorption time of 2688 h.\nThe P adsorption kinetics of 1 Fe:5 Al showed an adsorbed P amount of 89 % (203.8 \u00b5mol m-2) for an initial P concentration of 1000 \u00b5mol l-1, 91 % (427.5 \u00b5mol m-2) for an initial P concentration of 2000 \u00b5mol l-1, and 97 % (1140.8 \u00b5mol m-2) for an initial P concentration of 5000 \u00b5mol l-1, respectively after an adsorption time of 2688 h.\nThe P adsorption kinetics of 1 Fe:10 Al showed an adsorbed P amount of 83 % (202.5 \u00b5mol m-2) for an initial P concentration of 1000 \u00b5mol l-1, 85 % (428.0 \u00b5mol m-2) for an initial P concentration of 2000 \u00b5mol l-1, and 94 % (1169.1 \u00b5mol m-2) for an initial P concentration of 5000 \u00b5mol l-1, respectively after an adsorption time of 2688 h.\nThe P adsorption kinetics of 0 Fe:1 Al showed an adsorbed P amount of 65 % (106.2 \u00b5mol m-2) for an initial P concentration of 1000 \u00b5mol l-1, 69 % (228.2 \u00b5mol m-2) for an initial P concentration of 2000 \u00b5mol l-1, and 82 % (688.1 \u00b5mol m-2) for an initial P concentration of 5000 \u00b5mol l-1, respectively after an adsorption time of 2688 h.\n\nResearch domain: Plant Nutrition\n\nResearch question:Which P bindings are 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