{"type": "FeatureCollection", "features": [{"id": "10.15201/hungeobull.69.3.4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:20:16Z", "type": "Journal Article", "created": "2020-10-02", "title": "Crop growth, carbon sequestration and soil erosion in an organic vineyard of the Vill\u00e1ny Wine District, Southwest Hungary", "description": "<p>A more resilient adaptation to changing climate calls for crop diversification in vineyards, too. As a contribution to the H2020 collaborative project of the European Union, called Diverfarming, and part of the agroecological experiments during 2018 and 2019, grapevine biomass growth was monitored in connection with carbon storage types in soil and in the deposits removed by soil erosion. Phenometry was carried out interpreting segmented images to follow changes in biomass. It was found that crop growth could be best described by the Richards growth function. The distinction between grapevine and intercrop growth, however, requires further refinement in image analysis. In the laboratory TOC and Ntotal were measured for both the soil and the plant organs as well as for the eroded sediments. Greenhouse gas emissions and photosynthesis were monitored. Looking at the change of Leaf Area Index (LAI) over the growing period, image analysis pointed out the role of cut shoots from pruning in the C and N cycles. Maximum leaf area (at ripening) for guyot cultivation technique was extimated at 7,840 m2 ha-1. Soil loss by erosion was established by sediment traps at the end of vinestock rows. The grain size distribution analysis led to the remarkable result that as erosion proceeded, the ratio of the sand fraction increased but remained within the range for the textural class of loam. Organic matter contents grew to 38 g kg-1. The rate of soil erosion is higher in ploughed than in grassed interrows by orders of magnitude.</p>", "keywords": ["2. Zero hunger", "Geography (General)", "soil erosion", "leaf area index", "biomass", "Leaf Area Index", "04 agricultural and veterinary sciences", "15. Life on land", "C/N ratio", "carbon sequestration", "crop diversification", "image analysis", "13. Climate action", "G1-922", "0401 agriculture", " forestry", " and fisheries", "phenometry", "c/n ratio", "organic vineyard"]}, "links": [{"href": "https://doi.org/10.15201/hungeobull.69.3.4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hungarian%20Geographical%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15201/hungeobull.69.3.4", "name": "item", "description": "10.15201/hungeobull.69.3.4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15201/hungeobull.69.3.4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-10-02T00:00:00Z"}}, {"id": "10.3389/ffgc.2021.686945", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:21:24Z", "type": "Journal Article", "created": "2021-06-11", "title": "Modeling Microbial Adaptations to Nutrient Limitation During Litter Decomposition", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Microbial decomposers face large stoichiometric imbalances when feeding on nutrient-poor plant residues. To meet the challenges of nutrient limitation, microorganisms might: (i) allocate less carbon (C) to growth vs. respiration or excretion (i.e., flexible C-use efficiency, CUE), (ii) produce extracellular enzymes to target compounds that supply the most limiting element, (iii) modify their cellular composition according to the external nutrient availability, and (iv) preferentially retain nutrients at senescence. These four resource use modes can have different consequences on the litter C and nitrogen (N) dynamics\u2013modes that selectively remove C from the system can reduce C storage in soil, whereas modes that delay C mineralization and increase internal N recycling could promote storage of C and N. Since we do not know which modes are dominant in litter decomposers, we cannot predict the fate of C and N released from plant residues, in particular under conditions of microbial nutrient limitation. To address this question, we developed a process-based model of litter decomposition in which these four resource use modes were implemented. We then parameterized the model using \u223c80 litter decomposition datasets spanning a broad range of litter qualities. The calibrated model variants were able to capture most of the variability in litter C, N, and lignin fractions during decomposition regardless of which modes were included. This suggests that different modes can lead to similar litter decomposition trajectories (thanks to the multiple alternative resource acquisition pathways), and that identification of dominant modes is not possible using \u201cstandard\u201d litter decomposition data (an equifinality problem). Our results thus point to the need of exploring microbial adaptations to nutrient limitation with empirical estimates of microbial traits and to develop models flexible enough to consider a range of hypothesized microbial responses.</p></article>", "keywords": ["2. Zero hunger", "microbial model", "carbon use efficiency", "nitrogen limitation", "Forestry", "extracellular enzymes", "litter decomposition", "04 agricultural and veterinary sciences", "Biological Sciences", "SD1-669.5", "15. Life on land", "microbial stoichiometry", "C/N ratio", "C:N ratio", "12. Responsible consumption", "Environmental sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Biologiska vetenskaper", "GE1-350"]}, "links": [{"href": "https://doi.org/10.3389/ffgc.2021.686945"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Forests%20and%20Global%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/ffgc.2021.686945", "name": "item", "description": "10.3389/ffgc.2021.686945", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/ffgc.2021.686945"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-11T00:00:00Z"}}, {"id": "10.5061/dryad.zpc866t6r", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-06-24T16:22:16Z", "type": "Dataset", "title": "Soil organic carbon accumulation modes between pioneer and old-growth forest ecosystems", "description": "1. Increasing evidence suggests that high biomass and litterfall do not  necessarily bring about soil organic carbon (SOC) sinks, contrary to the  assumption that higher litterfall implies higher SOC when designing carbon  models. The underlying mechanism is related to the quality of litter. 2.  We conducted 15 years (2000\u20132015) of consecutive field measurements of  \u03b413C values in SOC and plants in a pioneer forest (Pinus massoniana  forest, PF) and an old-growth forest (monsoon evergreen broadleaved  forest, BF), using an isotope mixing model based on mass balance to  quantify the effects of vegetation on SOC stock and soil characteristics.  3. The carbon to nitrogen (C/N) ratio of litter in BF was lower than that  in PF. The proportion of organic carbon yield input to the soil (Cinput)  to the total litter carbon loss during decomposition was 38.7 \u00b1 3.3% and  28.0 \u00b1 2.1% in BF and PF, respectively. New carbon input was higher in BF  (148.7 \u00b1 8.8 g C m\u22122 yr\u22121) than PF (99.7 \u00b1 4.5 g C m\u22122 yr\u22121), though there  was a non-significant difference in annual litterfall between the two  forests. Moreover, the Cinput was concentrated in the topsoil layer in PF  but distributed in a more dispersed state across the whole soil profile in  BF. Consequently, only the \u03b413C values of SOC decreased in the topsoil  layer of PF, whereas these decreased at both soil depths in BF from 2000  to 2015. 4. Compared with PF, BF exhibited higher carbon input and a more  favourable soil environment for carbon storage. It was the amount of  intermediate product (i.e., Cinput) of litter decomposition, not the  amount of litterfall itself, that drove the contrasting differences in SOC  status. 5. Synthesis and applications. Litter quality controls SOC  accumulation by regulating the fate of decomposing litter, which may  explain why old-growth forests can sustainably accumulate carbon in soil.  This finding questions the carbon models that predict the dependence of  SOC accumulation on biomass and litter yield and suggests that litter  quality should be valued in future carbon cycling models.30-Jul-2020", "keywords": ["intermediate product", "soil organic carbon", "13. Climate action", "\u03b413C", "litter quality", "15. Life on land", "C/N ratio"], "contacts": [{"organization": "Xiong, Xin, Zhou, Guoyi, Zhang, Deqiang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.zpc866t6r"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.zpc866t6r", "name": "item", "description": "10.5061/dryad.zpc866t6r", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.zpc866t6r"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-25T00:00:00Z"}}, {"id": "10.5281/zenodo.3971022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:24:11Z", "type": "Dataset", "title": "VDMBC_vertical_distribution_soil_microbial_biomass_carbon", "description": "Soil microbial biomass carbon (SMBC) is important in regulating soil organic carbon (SOC) dynamics along soil profiles by mediating the decomposition and formation of SOC. The dataset (VDMBC) is about the vertical distributions of SOC, SMBC, and soil microbial quotient (SMQ = SMBC/SOC) and their relations to environmental factors across five continents. Data were collected from literature, with a total of 289 soil profiles and 1040 observations in different soil layers compiled. The associated environment data collectd include climate, ecosystem types, and edaphic factors. We developed this dataset by searching the the Web of Sciene and the China National Knowledge Infrastructure from the year of 1970 to 2019. All the data in this dataset met two creteria: 1) there were at least three mineral soil layers along a soil profile, and 2) SMBC was measured using the fumigation extraction method. The data in tables and texts were obtained from literature directly, and the data in figures were extracted by using the GetData Graph digitizer software version 2.25. When climate and soil properties were not available from publications, we obtainted the data from the World Weather Information Service (https://worldweather.wmo.int/en/home.html) and SoilGrids at a spatial resolution of 250 meters (version 0.5.3, https://soilgrids.org). The units of all the variables were converted to the standard international units or commonly used ones and the values were converted correspondingly. For example, the value of soil organic matter (SOM) was converted to SOC using the equation (SOC = SOM \u00d7 0.58). Soil depth was calculated as the arithmetic mean value of the upper and lower boundaries for a given soil layer. This dataset can be used in predicting global SOC change along soil profiles using the multi-layer soil carbon models. It can also be used to analyse how soil microbial biomass changes with plant roots as well as the composition, structure, and functions of soil microbial communities along soil profiles at large spatial scales. This dataset offers opportunities to improve our prediction of SOC dynamics under global changes and to advance our understanding of the environmental controls.", "keywords": ["2. Zero hunger", "soil organic carbon", "13. Climate action", "deep soils", "soil clay content", "soil C/N ratio", "soil profile", "15. Life on land", "micorbial quotient"], "contacts": [{"organization": "Sun, Tingting, Wang, Yugang, Hui, Dafeng, Jing, Xin, Feng, Wenting,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3971022"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3971022", "name": "item", "description": "10.5281/zenodo.3971022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3971022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-03T00:00:00Z"}}, {"id": "10.5281/zenodo.3884383", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:24:11Z", "type": "Dataset", "title": "The vertical distribution of soil microbial biomass carbon: A global dataset", "description": "Soil microbial biomass carbon (SMBC) is important in regulating soil organic carbon (SOC) dynamics along soil profiles by mediating the decomposition and formation of SOC. The dataset is about the vertical distributions of SOC, SMBC, and soil microbial quotient (SMQ = SMBC/SOC) and their relations to environmental factors across five continents. Data are collected from literature, with a total of 289 soil profiles and 1040 observations in different soil layers compiled. The associated environment data were also collectd including climate, ecosystem types, and edaphic factors. More specifically, we develop this dataset by compiling data from 59 papers published in the Web of Sciene and the China National Knowledge Infrastructure from the year of 1970 to 2019. All the data included in this dataset meet two creteria: 1) there are at least three soil layers along a soil profile, and 2) soil MBC is measured using the fumigation extraction method. The data were obtained from tables and texts from literature directly, and the data in figures were extracted using GetData Graph digitizer software version 2.25. When climate and soil properties are not available from publications, we obtainted the data from the World Weather Information Service (https://worldweather.wmo.int/en/home.html) and SoilGrids at a spatial resolution of 250 meters (version 0.5.3, https://soilgrids.org). The units of all the variables are converted to the standard international units or commonly used ones and the values are converted correspondingly. For example, the value of soil organic matter (SOM) is converted to SOC using the equation (SOC = SOM \u00d7 0.58). Soil depth is calculated as the arithmetic mean value of the upper and lower boundaries for a given soil layer. This dataset can be used in predicting global SOC change along soil profiles using the multi-layer soil C models. It can also be used to analyse how soil microbial biomass changes with plant roots as well as the composition, structure, and functions of soil microbial communities along soil profiles at large spatial scales. This dataset offers opportunities to improve our prediction of SOC dynamics under global changes and to advance our understanding of the environmental controls.", "keywords": ["2. Zero hunger", "soil organic carbon", "13. Climate action", "deep soils", "soil clay content", "soil profile", "soil C/N ratio", "15. Life on land", "micorbial quotient"], "contacts": [{"organization": "Sun, Tingting, Wang, Yugang, Hui, Dafeng, Jing, Xin, Feng, Wenting,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3884383"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3884383", "name": "item", "description": "10.5281/zenodo.3884383", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3884383"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-21T00:00:00Z"}}, {"id": "2318/2070051", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-24T16:26:40Z", "type": "Journal Article", "created": "2025-03-14", "title": "Factors influencing nitrogen derived from soil organic matter mineralisation: Results from a long-term experiment", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Mineralised nitrogen (N) from soil organic matter (SOM) is a crucial source of N for both natural ecosystems and agroecosystems. Therefore, accurate estimation of the amount of N available to crops from SOM mineralisation is necessary to correctly manage N addition. For application in an N budget, a field-scale assessment of the main factors affecting SOM mineralisation is required. The objective of this study was to quantify the influence of meteorological conditions and soil properties on N mineralised by SOM in an agroecosystem. The N mineralised from the SOM was calculated as the N uptake of the unfertilised plot minus the N derived from atmospheric deposition and irrigation. This study analysed 29 years of crop, agrometeorological, and soil data from three maize cropping systems (maize for grain, maize for silage, and maize-It. ryegrass double cropping) in a long-term experiment conducted in NW Italy. A Linear Mixed Model (LMM) was developed for the purpose of this study. The average of N derived from SOM mineralisation predicted by the model was 96&amp;#8239;kg&amp;#8239;N ha&amp;#8722;1&amp;#160;yr&amp;#8722;1, with a root mean square error of 22&amp;#8239;kg&amp;#8239;N ha&amp;#8722;1&amp;#160;yr&amp;#8722;1. The fixed factors of LMM, which are soil organic carbon (SOC), carbon-to-nitrogen ratio (C/N) and the sum of rainfall and irrigation (R.I.), were responsible for 19&amp;#8239;% of the annual variations in mineralised N. SOC and R.I. had a positive effect and greater weight on the process, whereas C/N had a negative effect and lower weight. The explanatory power of the model increased to 52&amp;#8239;% when cropping systems and interannual variability were included as random factors. This study highlights the importance of weather conditions and SOC content in determining the amount of N derived from soil mineralisation and can contribute to plant nutrition. In a future climate scenario characterised by increased aridity, N mineralisation could decrease, thus increasing the demand for fertilisers.</p></article>", "keywords": ["Linear mixed model", "Soil organic matter mineralisation", "Agrometeorological indicators", "Agrometeorological indicators; C/N ratio; Linear mixed model; Maize; Nitrogen uptake; Soil organic matter mineralisation", "C/N ratio", "Nitrogen uptake", "Maize"]}, "links": [{"href": "https://iris.unito.it/bitstream/2318/2070051/1/A60%20Octavian%20TF0.pdf"}, {"href": "https://doi.org/2318/2070051"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2318/2070051", "name": "item", "description": "2318/2070051", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2318/2070051"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "3167308845", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-24T16:27:18Z", "type": "Journal Article", "created": "2021-06-11", "title": "Modeling Microbial Adaptations to Nutrient Limitation During Litter Decomposition", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Microbial decomposers face large stoichiometric imbalances when feeding on nutrient-poor plant residues. To meet the challenges of nutrient limitation, microorganisms might: (i) allocate less carbon (C) to growth vs. respiration or excretion (i.e., flexible C-use efficiency, CUE), (ii) produce extracellular enzymes to target compounds that supply the most limiting element, (iii) modify their cellular composition according to the external nutrient availability, and (iv) preferentially retain nutrients at senescence. These four resource use modes can have different consequences on the litter C and nitrogen (N) dynamics\u2013modes that selectively remove C from the system can reduce C storage in soil, whereas modes that delay C mineralization and increase internal N recycling could promote storage of C and N. Since we do not know which modes are dominant in litter decomposers, we cannot predict the fate of C and N released from plant residues, in particular under conditions of microbial nutrient limitation. To address this question, we developed a process-based model of litter decomposition in which these four resource use modes were implemented. We then parameterized the model using \u223c80 litter decomposition datasets spanning a broad range of litter qualities. The calibrated model variants were able to capture most of the variability in litter C, N, and lignin fractions during decomposition regardless of which modes were included. This suggests that different modes can lead to similar litter decomposition trajectories (thanks to the multiple alternative resource acquisition pathways), and that identification of dominant modes is not possible using \u201cstandard\u201d litter decomposition data (an equifinality problem). Our results thus point to the need of exploring microbial adaptations to nutrient limitation with empirical estimates of microbial traits and to develop models flexible enough to consider a range of hypothesized microbial responses.</p></article>", "keywords": ["2. Zero hunger", "microbial model", "carbon use efficiency", "nitrogen limitation", "Forestry", "extracellular enzymes", "litter decomposition", "04 agricultural and veterinary sciences", "Biological Sciences", "SD1-669.5", "15. Life on land", "microbial stoichiometry", "C/N ratio", "C:N ratio", "12. Responsible consumption", "Environmental sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Biologiska vetenskaper", "GE1-350"]}, "links": [{"href": "https://doi.org/3167308845"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Forests%20and%20Global%20Change", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3167308845", "name": "item", "description": "3167308845", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3167308845"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-06-11T00:00:00Z"}}, {"id": "8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[9.02, 52.76], [9.02, 52.76], [9.03, 52.76], [9.03, 52.76], [9.02, 52.76]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Bodenbedeckung"}, {"id": "Bodennutzung"}, {"id": "Landwirtschaftliche Anlagen und Aquakulturanlagen"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Shoots"}, {"id": "Plant parts"}, {"id": "nutrient balance"}, {"id": "Avena"}, {"id": "Avena nuda"}, {"id": "Poaceae"}, {"id": "Mustard"}, {"id": "Sinapis alba"}, {"id": "Phacelia tanacetifolia"}, {"id": "Trifolium alexandrinum"}, {"id": ",biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "biomass"}, {"id": "Elements"}, {"id": "Nitrogen"}, {"id": "Nitrogen content"}, {"id": "Phosphorus"}, {"id": "Carbon"}, {"id": "Magnesium"}, {"id": "Potassium"}, {"id": "Boron"}, {"id": "Aluminium"}, {"id": "Manganese"}, {"id": "Sulphur"}, {"id": "Zinc"}, {"id": "Iron"}, {"id": "Copper"}, {"id": "Calcium"}, {"id": "Catch cropping"}, {"id": "Crop rotation"}, {"id": "cropping systems"}, {"id": "Biological competition"}, {"id": "Interspecific competition"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Shoot biomass"}, {"id": "catch crops"}, {"id": "mineral elements"}, {"id": "macro elements"}, {"id": "micro elements"}, {"id": "C/N ratio"}, {"id": "plant nutrition"}, {"id": "ICP-OES"}, {"id": "EA"}, {"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}], "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 reused from the BonaRes Data Centre www.bonares.de. This data were created as part of BonaRes Module A-Project - CATCHY's research activities.\n\nAlthough every care has been taken in preparing and testing the data, BonaRes Module A - Project - CATCHY and BonaRes Data Centre cannot guarantee that the data are correct; neither does BonaRes Module A - Project 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 BonaRes Module A-Project-CATCHY 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": "2019-06-21", "type": "Dataset", "created": "2017-10-19", "language": "eng", "title": "Catch crop nutrient uptake 1st crop rotation cycle", "description": "A central aspect when including catch crops into a crop rotation is the conservation of nutrients in their biomass for the subsequently grown crop. Therefore, it is important to qualify and to quantify the nutrient accumulation in the biomass of catch crop species. Since it was often described, that mixtures yield higher biomasses than pure stands of catch crops, we evaluated the nutrient scavenging potential of pure stands vs. mixtures. \nTest objects were the four species mustard, phacelia, bristle oat and Egyptian clover either grown in pure stands (sowing densities: mustard - 300, phacelia - 706, bristle oat - 588, Egyptian clover - 833) or in a 4-species mixture (sowing densities: mustard - 67, phacelia - 294, bristle oat - 53, Egyptian clover - 233). Additionally, a commercial mixture of the DSV with a higher species diversity called TerraLife MaisPro was included in the experiment. Their single-species nutrient accumulation was evaluated after 2.5 months of cultivation in total shoot material (dryed for 3 d at 80 \u00b0C and ground in a mill) obtained from two sites in Germany (Asendorf - Lower Saxony and Triesdorf - Bavaria), and at two initial starting points of the respective wheat-catch crop-maize long-term rotation (2015 and 2016) - in total 4 test environments. \nGenerally, nutrient concentrations in the shoot biomass often followed species-specific patterns, e.g. phacelia and oat which are described to have a shallow root system with a high amount of fine roots in the upper soil layers had consistently highest P and K concentrations, S, which is prone to leaching, was most concentrated in the cruciferous species mustard, Ca concentration was highest in phacelia but very low abundant in oat as grass species or Mg was highest in clover since photosynthesis rate must be kept high because biologically fixed N has to be incorporated into carbon skeletons. Increasing interspecific competition in the mix (at higher plant survival rates or at vigorous plant development) favored higher concentrations of several nutrients in some of the species, e.g. higher P concentration in phacelia when cultivated in the 4-species mix. Non-favorable conditions like less water availability led, against this, to higher N concentrations in clover likely due to the establishment of N fixation (Triesdorf 2015 and Asendorf 2016).\nHowever, total nutrient scavenging was largely influenced by the biomass formed by a catch crop variant. In this case, above-ground nutrient conservation capacities were mostly equally high in mustard, phacelia, partially oat and the mixed cultures. Only in one test environment (Triesdorf 2016) where quite loose pure stands established, the mixed cultivation offered a larger nutrient conservation capacity via the production of higher total biomass.", "formats": [{"name": "CSV"}], "keywords": ["Bodenbedeckung", "Bodennutzung", "Landwirtschaftliche Anlagen und Aquakulturanlagen", "Shoots", "Plant parts", "nutrient balance", "Avena", "Avena nuda", "Poaceae", "Mustard", "Sinapis alba", "Phacelia tanacetifolia", "Trifolium alexandrinum", "", "biomass", "biomass", "biomass", "biomass", "biomass", "biomass", "Elements", "Nitrogen", "Nitrogen content", "Phosphorus", "Carbon", "Magnesium", "Potassium", "Boron", "Aluminium", "Manganese", "Sulphur", "Zinc", "Iron", "Copper", "Calcium", "Catch cropping", "Crop rotation", "cropping systems", "Biological competition", "Interspecific competition", "Shoot biomass", "catch crops", "mineral elements", "macro elements", "micro elements", "C/N ratio", "plant nutrition", "ICP-OES", "EA", "opendata", "Boden"], "contacts": [{"name": "Heuermann, Diana", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Staff member (Molecular Plant Nutrition)", "roles": ["author"], "phones": [{"value": "0049394825514"}], "emails": [{"value": "heuermannd@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Wir\u00e9n, Nicolaus von", "organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "position": "Department head", "roles": ["projectLeader"], "phones": [{"value": "0049 39482 5603"}], "emails": [{"value": "vonwiren@ipk-gatersleben.de"}], "addresses": [{"deliveryPoint": ["Correnstra\u00dfe 3"], "city": "Stadt Seeland", "administrativeArea": "Saxony-Anhalt", "postalCode": "06466", "country": "Germany"}], "links": [{"href": null}]}, {"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}]}, {"organization": "Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben", "roles": ["contributor"]}], "title_alternate": "Nutrient accumulation in the biomass of catch crop species in pure stands vs. mix at the beginning of a wheat-catch crop-maize long-term rotation"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&doi=8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "rel": "download"}, {"rel": "self", "type": "application/geo+json", "title": "8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "name": "item", "description": "8d34ddab-2bc9-4288-869b-a4afdd68f0dd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/8d34ddab-2bc9-4288-869b-a4afdd68f0dd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-21T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=C%2FN+ratio&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=C%2FN+ratio&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=C%2FN+ratio&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=C%2FN+ratio&offset=8", "hreflang": "en-US"}], "numberMatched": 8, "numberReturned": 8, "distributedFeatures": [], "timeStamp": "2026-06-25T07:27:53.505571Z"}