{"type": "FeatureCollection", "features": [{"id": "10.1016/j.foreco.2022.120355", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:27Z", "type": "Journal Article", "created": "2022-06-22", "title": "Do mycorrhizal symbionts drive latitudinal trends in photosynthetic carbon use efficiency and carbon sequestration in boreal forests?", "description": "There is evidence that carbon fluxes and stocks decrease with increasing latitude in boreal forests, suggesting a reduction in carbon use efficiency. While vegetation and soil carbon dynamics have been widely studied, the empirical finding that ectomycorrhizal fungi (ECM) become more abundant towards the north has not been quantitatively linked to carbon use efficiency. We formulated a conceptual model of combined fine-root and ECM carbon use efficiency (CUE) as NPP/GPP (net primary production/gross primary production). For this, we included the mycorrhiza as gains in plant NPP but considered the extramatrical hyphae as well as exudates as losses. We quantified the carbon processes across a latitudinal gradient using published eco-physiological and morphological measurements from boreal coniferous forests. In parallel, we developed two CUE models using large-scale empirical measurements amended with established models. All models predicted similar latitudinal trends in vegetation CUE and net ecosystem production (NEP). CUE in the ECM model declined on average by 0.1 from latitude 60 to 70 with overall mean 0.390 +/- 0.037. NEP declined by 200 g m(-2) yr(-1) with mean 171 +/- 79.4 g m(-2) yr(-)(1). ECM had no significant effect on predicted soil carbon. Our findings suggest that ECM can use a significant proportion of the carbon assimilated by vegetation and hence be an important driver of the decline in CUE at higher latitudes. Our model suggests the quantitative contribution of ECM to soil carbon to be less important but any possible implications through litter quality remain to be assessed. The approach provides a simple proxy of ECM processes for regional C budget models and estimates.", "keywords": ["Soil C balance", "570", "550", "Forest Science", "hiilen kierto", "Carbon residence time", "Carbon use efficiency", "Forestry", "Carbon allocation", "hiilensidonta", "15. Life on land", "ta4112", "13. Climate action", "maaper\u00e4geologia", "Net ecosystem production", "Soil C:N ratio", "Mycorrhiza", "Model"]}, "links": [{"href": "https://pub.epsilon.slu.se/31150/1/makela-a-et-al-20230622.pdf"}, {"href": "https://doi.org/10.1016/j.foreco.2022.120355"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2022.120355", "name": "item", "description": "10.1016/j.foreco.2022.120355", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2022.120355"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "10.1016/j.still.2013.05.013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:17:18Z", "type": "Journal Article", "created": "2013-06-29", "title": "Soil Quality Response To Long-Term Tillage And Crop Rotation Practices", "description": "Abstract   Soil quality is influenced by inherent and anthropogenic factors. This study was conducted to provide multiple groups guidance on how to achieve and maintain improved soil quality/health. Our hypothesis was that tillage intensity was the primary anthropogenic factor degrading soil quality, and our objective was to prove that hypothesis through an intensive 2005 sampling of a central Iowa, USA field study. Chisel plow, disk tillage, moldboard plow, ridge-till and no-till treatments, used for 31 years in a two-year, corn ( Zea mays  L.)/soybean [ Glycine max  (L.) Merr.] (C/S) rotation or for 26 years of continuous corn (CC) production, were evaluated by measuring 23 potential soil quality indicators. Soil samples from 0 to 5- and 5 to 15-cm depth increments were collected from 158 loam or clay loam sampling sites throughout the 10-ha study site. Nine of the indicators were evaluated by depth increment using the Soil Management Assessment Framework (SMAF) which has scoring functions for 13 soil biological, chemical, and physical measurements and can be used to compute individual indicator indices and an overall soil quality index (SQI). Water-stable aggregation (WSA), total organic carbon (TOC), microbial biomass carbon (MBC), and potentially mineralizable nitrogen (PMN) were all significantly lower for the 0 to 5-cm and generally lower for 5 to 15-cm increments after long-term moldboard plowing and its associated secondary tillage operations. This presumably reflected greater physical breakup and oxidation of above- and below-ground plant residues. Bray-P concentrations in moldboard plow plots were also significantly lower at both depth increments. Between soil texture groups, significant differences were found for WSA, Bray-P, TOC and MBC at both depth increments and for both cropping systems. When combined into an overall SQI, both soil texture groups were functioning at 82\u201385% of their potential at 0\u20135-cm and at 75% of their potential at the 5\u201315-cm depth. Our hypothesis that moldboard plowing would have the greatest negative effect on soil quality indicators was verified. Based on this assessment, we recommend that to achieve and maintain good soil health, producers should strive to adopt less aggressive tillage practices.", "keywords": ["2. Zero hunger", "570", "Basic cation saturation ratio (BCSR)", "Soil-testing", "0401 agriculture", " forestry", " and fisheries", "Soil properties", "04 agricultural and veterinary sciences", "15. Life on land", "Soybean", "Conservation tillage", "630", "6. Clean water", "Maize"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2013.05.013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2013.05.013", "name": "item", "description": "10.1016/j.still.2013.05.013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2013.05.013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-10-01T00:00:00Z"}}, {"id": "10.1007/s00267-024-01939-9", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:14:42Z", "type": "Journal Article", "created": "2024-02-01", "title": "Interplay between Livestock Grazing and Aridity on the Ecological and Nutritional Value of Forage in Semi-arid Mediterranean Rangelands (NE Spain)", "description": "Abstract<p>Rangeland-based livestock production constitutes a primary source of livelihood for many inhabitants of dryland regions. Their subsistence relies heavily on maintaining the productivity, biodiversity and services of these ecosystems. Harsh environmental conditions (e.g., drought) combined with land use intensification (e.g., overgrazing) make dryland ecosystems vulnerable and prone to degradation. However, the interplay between livestock grazing intensity and aridity conditions in driving the conservation and nutritional value of forage in arid and semi-arid rangelands is still not fully understood. In this study, we performed structural equation models (SEM) to assess the simultaneous direct and indirect effects of livestock grazing intensity and aridity level on community structure, diversity, biomass, forage production, forage C:N ratio and forage fiber composition in two semi-arid Mediterranean rangelands, NE Spain. Not surprisingly, we found that higher livestock grazing intensity led to lower community plant cover, especially when combined with higher aridity. However, both increasing grazing intensity and aridity were associated with higher forage production after one year of grazing exclusion. We did not find any adverse effect of livestock grazing on plant diversity, although plant species composition differed among grazing intensity levels. On the other hand, we found an aridity-driven trade-off in regard of the nutritional value of forage. Specifically, higher aridity was associated with a decrease in the least digestible fiber fraction (i.e., lignin) and an increase in forage C:N ratio. More interestingly, we found that livestock grazing modulated this trade-off by improving the overall forage nutritional value. Altogether, our results provide further insights into the management of semi-arid Mediterranean rangelands, pointing out that maintaining traditional rangeland-based livestock production may be a sustainable option as long as rangeland conservation (e.g., community plant cover) is not severely compromised.</p", "keywords": ["0106 biological sciences", "2. Zero hunger", "570", "Annual plant production", "Livestock", "Biodiversity", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "01 natural sciences", "630", "Article", "Plant diversity", "Spain", "13. Climate action", "Grazing intensity", "Plant fiber composition", "Animals", "0401 agriculture", " forestry", " and fisheries", "Plant C:N ratio", "Middle Ebro Valley", "Ecosystem"]}, "links": [{"href": "https://doi.org/10.1007/s00267-024-01939-9"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00267-024-01939-9", "name": "item", "description": "10.1007/s00267-024-01939-9", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00267-024-01939-9"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-01T00:00:00Z"}}, {"id": "10.1007/s10533-015-0157-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:15:03Z", "type": "Journal Article", "created": "2015-11-14", "title": "Chronic Nitrogen Fertilization And Carbon Sequestration In Grassland Soils: Evidence Of A Microbial Enzyme Link", "description": "Chronic nitrogen (N) fertilization can greatly affect soil carbon (C) sequestration by altering biochemical interactions between plant detritus and soil microbes. In lignin-rich forest soils, chronic N additions tend to increase soil C content partly by decreasing the activity of lignin-degrading enzymes. In cellulose-rich grassland soils it is not clear whether cellulose-degrading enzymes are also inhibited by N additions and what consequences this might have on changes in soil C content. Here we address whether chronic N fertilization has affected (1) the C content of light versus heavier soil fractions, and (2) the activity of four extracellular enzymes including the C-acquiring enzyme \u03b2-1,4-glucosidase (BG; necessary for cellulose hydrolysis). We found that 19\u00a0years of chronic N-only addition to permanent grassland have significantly increased soil C sequestration in heavy but not in light soil density fractions, and this C accrual was associated with a significant increase (and not decrease) of BG activity. Chronic N fertilization may increase BG activity because greater N availability reduces root C:N ratios thus increasing microbial demand for C, which is met by C inputs from enhanced root C pools in N-only fertilized soils. However, BG activity and total root mass strongly decreased in high pH soils under the application of lime (i.e. CaCO3), which reduced the ability of these organo-mineral soils to gain more C per units of N added. Our study is the first to show a potential \u2018enzyme link\u2019 between (1) long-term additions of inorganic N to grassland soils, and (2) the greater C content of organo-mineral soil fractions. Our new hypothesis is that the \u2018enzyme link\u2019 occurs because (a) BG activity is stimulated by increased microbial C demand relative to N under chronic fertilization, and (b) increased BG activity causes more C from roots and from microbial metabolites to accumulate and stabilize into organo-mineral C fractions. We suggest that any combination of management practices that can influence the BG \u2018enzyme link\u2019 will have far reaching implications for long-term C sequestration in grassland soils.", "keywords": ["DECOMPOSITION", "DYNAMICS", "570", "\u03b2-1", "4-Glucosidase", "/dk/atira/pure/subjectarea/asjc/2300/2304", "NUTRIENT RELEASE", "Environmental Sciences & Ecology", "Root C:N ratio", "Extracellular enzyme activity", "LITTER DECAY", "FOREST ECOSYSTEMS", "0399 Other Chemical Sciences", "0402 Geochemistry", "Environmental Chemistry", "Geosciences", " Multidisciplinary", "beta-1", "4-Glucosidase", "Earth-Surface Processes", "Water Science and Technology", "2. Zero hunger", "Multidisciplinary", "Science & Technology", "/dk/atira/pure/subjectarea/asjc/1900/1904", "Geology", "sequestration", "Agronomy & Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Soil carbon", "N DEPOSITION", "ORGANIC-MATTER", "PHOSPHORUS", "Fertilization", "Physical Sciences", "N ratio [Root C]", "0401 agriculture", " forestry", " and fisheries", "Soil carbon sequestration", "Liming", "TURNOVER", "Life Sciences & Biomedicine", "Geosciences", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Environmental Sciences", "RESPONSES"]}, "links": [{"href": "https://doi.org/10.1007/s10533-015-0157-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-015-0157-5", "name": "item", "description": "10.1007/s10533-015-0157-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-015-0157-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-11-14T00:00:00Z"}}, {"id": "10.1016/j.agee.2012.05.019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:15:36Z", "type": "Journal Article", "created": "2012-06-20", "title": "Changes In Soil Carbon Of Pastures After Afforestation With Mixed Species: Sampling, Heterogeneity And Surrogates", "description": "Abstract   Accurate and efficient estimation of soil C is vital to understanding and monitoring the role of afforestation in C sequestration. Here, we focused on the potential of mixed-species plantings, for which there is negligible information but expanding investment due to their added environmental benefits. We surveyed soil C and N over a representative chronosequence (5\u201329 years old) of existing plantings, including measurements in the adjacent pastures to account for differences in soil type and land-use history among properties. Vegetation characteristics of the tree plantings were measured to identify potential surrogates for rapid assessment of soil C. Soil C was highly heterogeneous under the plantings and the adjacent pastures, with up to eight cores required to sample adequately a plot of 400\u00a0m2. Vegetation surrogates had limited success in predicting soil C after afforestation, with the only strong predictors being tree density and planting age. Three decades of afforestation with mixed species had not led to substantial changes in C concentration or content of the soil. The C:N ratio of soils increased with planting age suggesting that the C becomes more resistant to decomposition after afforestation. Over longer time scales, tree plantings are likely to have larger impacts on the amount and forms of soil C.", "keywords": ["2. Zero hunger", "Afforestation", "soil surrogates", "spatial heterogeneity", "mixed-species plantings", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "sampling size", "C:N ratio"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2012.05.019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2012.05.019", "name": "item", "description": "10.1016/j.agee.2012.05.019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2012.05.019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-09-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2005.10.027", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:16:13Z", "type": "Journal Article", "created": "2005-12-10", "title": "Study Of The Trace Metal Ion Influence On The Turnover Of Soil Organic Matter In Cultivated Contaminated Soils", "description": "The role of metals in the behaviour of soil organic matter (SOM) is not well documented. Therefore, we investigated the influence of metals (Pb, Zn, Cu and Cd) on the dynamic of SOM in contaminated soils where maize (C4 plant) replaced C3 cultures. Three pseudogley brown leached soil profiles under maize with a decreasing gradient in metals concentrations were sampled. On size fractions, stable carbon isotopic ratio (delta13C), metals, organic carbon and nitrogen concentrations were measured in function of depth. The determined sequence for the amount of C4 organic matter in the bulk fractions: M3 (0.9)>M2 (0.4)>M1 (0.3) is in agreement with a significant influence of metals on the SOM turnover. New C4 SOM, mainly present in the labile coarser fractions and less contaminated by metals than the stabilised C3 SOM of the clay fraction, is more easily degraded by microorganisms.", "keywords": ["Geologic Sediments", "550", "Agronomie", "Nitrogen", "[SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy", "Zea mays", "01 natural sciences", "630", "Soil", "Soil organic matter dynamic", "Soil Pollutants", "Biomass", "Humic Substances", "0105 earth and related environmental sciences", "[SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy", "2. Zero hunger", "Carbon Isotopes", "Stable isotopic carbon ratio -", "Spectrophotometry", " Atomic", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "Size fractionation", "6. Clean water", "Zinc", "Biodegradation", " Environmental", "Lead", "Trace metal", "Metals", "Metallurgy", "0401 agriculture", " forestry", " and fisheries", "Environmental Pollution", "Copper", "Cadmium"]}, "links": [{"href": "https://oatao.univ-toulouse.fr/3839/1/Dumat_3839.pdf"}, {"href": "https://doi.org/10.1016/j.envpol.2005.10.027"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2005.10.027", "name": "item", "description": "10.1016/j.envpol.2005.10.027", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2005.10.027"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-08-01T00:00:00Z"}}, {"id": "10138/570094", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:37Z", "type": "Journal Article", "created": "2022-06-22", "title": "Do mycorrhizal symbionts drive latitudinal trends in photosynthetic carbon use efficiency and carbon sequestration in boreal forests?", "description": "There is evidence that carbon fluxes and stocks decrease with increasing latitude in boreal forests, suggesting a reduction in carbon use efficiency. While vegetation and soil carbon dynamics have been widely studied, the empirical finding that ectomycorrhizal fungi (ECM) become more abundant towards the north has not been quantitatively linked to carbon use efficiency. We formulated a conceptual model of combined fine-root and ECM carbon use efficiency (CUE) as NPP/GPP (net primary production/gross primary production). For this, we included the mycorrhiza as gains in plant NPP but considered the extramatrical hyphae as well as exudates as losses. We quantified the carbon processes across a latitudinal gradient using published eco-physiological and morphological measurements from boreal coniferous forests. In parallel, we developed two CUE models using large-scale empirical measurements amended with established models. All models predicted similar latitudinal trends in vegetation CUE and net ecosystem production (NEP). CUE in the ECM model declined on average by 0.1 from latitude 60 to 70 with overall mean 0.390 +/- 0.037. NEP declined by 200 g m(-2) yr(-1) with mean 171 +/- 79.4 g m(-2) yr(-)(1). ECM had no significant effect on predicted soil carbon. Our findings suggest that ECM can use a significant proportion of the carbon assimilated by vegetation and hence be an important driver of the decline in CUE at higher latitudes. Our model suggests the quantitative contribution of ECM to soil carbon to be less important but any possible implications through litter quality remain to be assessed. The approach provides a simple proxy of ECM processes for regional C budget models and estimates.", "keywords": ["Soil C balance", "570", "550", "Forest Science", "hiilen kierto", "Carbon residence time", "Carbon use efficiency", "Forestry", "Carbon allocation", "hiilensidonta", "15. Life on land", "ta4112", "13. Climate action", "maaper\u00e4geologia", "Net ecosystem production", "Soil C:N ratio", "Mycorrhiza", "Model"]}, "links": [{"href": "https://pub.epsilon.slu.se/31150/1/makela-a-et-al-20230622.pdf"}, {"href": "https://doi.org/10138/570094"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/570094", "name": "item", "description": "10138/570094", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/570094"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "10.1890/12-1760.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:20:02Z", "type": "Journal Article", "created": "2013-07-09", "title": "Earthworm Effects On The Incorporation Of Litter C And N Into Soil Organic Matter In A Sugar Maple Forest", "description": "<p>To examine the mechanisms of earthworm effects on forest soil C and N, we double\uffe2\uff80\uff90labeled leaf litter with13C and15N, applied it to sugar maple forest plots with and without earthworms, and traced isotopes into soil pools. The experimental design included forest plots with different earthworm community composition (dominated byLumbricus terrestrisorL. rubellus). Soil carbon pools were 37% lower in earthworm\uffe2\uff80\uff90invaded plots largely because of the elimination of the forest floor horizons, and mineral soil C:N was lower in earthworm plots despite the mixing of high C:N organic matter into soil by earthworms. Litter disappearance over the first winter\uffe2\uff80\uff93spring was highest in theL. terrestris(T) plots, but during the warm season, rapid loss of litter was observed in bothL. rubellus(R) and T plots. After two years, 22.0% \uffc2\uffb1 5.4% of13C released from litter was recovered in soil with no significant differences among plots. Total recovery of added13C (decaying litter plus soil) was much higher in no\uffe2\uff80\uff90worm (NW) plots (61\uffe2\uff80\uff9368%) than in R and T plots (20\uffe2\uff80\uff9329%) as much of the litter remained in the former whereas it had disappeared in the latter. Much higher percentage recovery of15N than13C was observed, with significantly lower values for T than R and NW plots. Higher overwinter earthworm activity in T plots contributed to lower soil N recovery. In earthworm\uffe2\uff80\uff90invaded plots isotope enrichment was highest in macroaggregates and microaggregates whereas in NW plots silt plus clay fractions were most enriched. The net effect of litter mixing and priming of recalcitrant soil organic matter (SOM), stabilization of SOM in soil aggregates, and alteration of the soil microbial community by earthworm activity results in loss of SOM and lowering of the C:N ratio. We suggest that earthworm stoichiometry plays a fundamental role in regulating C and N dynamics of forest SOM.</p>", "keywords": ["Time Factors", "Nitrogen", "TEMPERATE HARDWOOD FOREST", "New York", "Acer", "C:N ratio", "Trees", "OLD-GROWTH FOREST", "Soil", "litter", "EXOTIC EARTHWORMS", "Animals", "NORTHEASTERN FORESTS", "Oligochaeta", "CARBON DYNAMICS", "Ecosystem", "2. Zero hunger", "decomposition", "NITROGEN DEPOSITION", "Ecology", "Lumbricus", "MICROBIAL BIOMASS", "04 agricultural and veterinary sciences", "15. Life on land", "DECIDUOUS FOREST", "Carbon", "stoichiometry", "aggregate", "0401 agriculture", " forestry", " and fisheries", "LUMBRICUS-TERRESTRIS", "Environmental Sciences", "CENTRAL NEW-YORK", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1890/12-1760.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Applications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1890/12-1760.1", "name": "item", "description": "10.1890/12-1760.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1890/12-1760.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-07-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2007.08.021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:17:01Z", "type": "Journal Article", "created": "2007-11-09", "title": "Observed And Modelled Soil Carbon And Nitrogen Changes After Planting A Pinus Radiata Stand Onto Former Pasture", "description": "Abstract   After reforesting pasture land, it is often observed that soil carbon stocks decrease. The present work reports findings from a site near Canberra, Australia, where a pine forest (Pinus radiata) was planted onto a former unimproved pasture site. We report a number of detailed observations seeking to understand the basis of the decline in soil C stocks. This is supported by simulations using the whole-ecosystem carbon and nitrogen cycling model CenW 3.1. The model indicated that over the first 18 years after forest establishment, the site lost about 5.5\u00a0t\u00a0C\u00a0ha\u22121 and 588\u00a0kgN\u00a0ha\u22121 from the soil. The C:N ratio of soil organic matter did not change in a systematic manner over the observational period. Carbon and nitrogen stocks contained in the biomass of the 18-year old pine stand exceeded that of the pasture by 88\u00a0t\u00a0C\u00a0ha\u22121 and 393\u00a0kgN\u00a0ha\u22121. An additional 6.1\u00a0t\u00a0C\u00a0ha\u22121 and 110\u00a0kgN\u00a0ha\u22121 accumulated in above-ground litter. These changes, together with the vertical distribution of carbon and nitrogen in the soil, agreed well with the observation at the site. It was assumed that over 18 years, there was also a loss of 86\u00a0kgN\u00a0ha\u22121 from the ecosystem because of normal gaseous losses during nitrogen turn-over and a small amount of nitrogen leaching. Those losses could not be replenished in the pine system without symbiotic biological nitrogen fixation, and there were no fertiliser additions. A simple mass balance approach indicated that the amount of nitrogen accumulating in plant biomass and the litter layer plus the assumed nitrogen loss from the site matched the amount of nitrogen lost from the soil organic nitrogen pool. This reduction in soil nitrogen, together with an unchanged C:N ratio, provided a simple and internally consistent explanation for the observed reduction of soil carbon after reforestation. It supports the general notion that trends in soil carbon upon land-use change can often be controlled by the possible fates of available soil nitrogen.", "keywords": ["550", "Nitrogen", "CenW", "Reforesting pasture lands", "910", "Carbon inorganic compounds", "01 natural sciences", "Ecosystems", "Nitrogen compounds", "C:N ratio", "Nitrogen fixation", "Pasture", "Biomass", "Reforestation", "0105 earth and related environmental sciences", "Keywords: Biological materials", "Pinus radiata", "Nitrogen cycling models", "modeling", "04 agricultural and veterinary sciences", "15. Life on land", "carbon sequestration", "Soil carbon", "Pine", "coniferous tree", "Pine forest", "Soils", "0401 agriculture", " forestry", " and fisheries", "Model"], "contacts": [{"organization": "Roger M. Gifford, LanBin Guo, Miko U. F. Kirschbaum, Miko U. F. Kirschbaum,", "roles": ["creator"]}]}, "links": [{"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/61078/5/Kirschbaum_Observed_and_modelled_soil_carbon.pdf.jpg"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/61078/7/01_Kirschbaum_Observed_and_modelled_soil_2008.pdf.jpg"}, {"href": "https://doi.org/10.1016/j.soilbio.2007.08.021"}, {"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.2007.08.021", "name": "item", "description": "10.1016/j.soilbio.2007.08.021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2007.08.021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-01-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2007.08.023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:17:01Z", "type": "Journal Article", "created": "2007-11-06", "title": "Direct And Indirect Effects Of Nitrogen Deposition On Litter Decomposition", "description": "Elevated nitrogen (N) deposition can affect litter decomposition directly, by raising soil N availability and the quantity and quality of litter inputs, and indirectly by altering plant community composition. We investigated the importance of these controls on litter decomposition using litter bags placed in annual herb based microcosm ecosystems that had been subject to two rates of N deposition (which raised soil inorganic N availability and stimulated litter inputs) and two planting regimes, namely the plant species compositions of low and high N deposition environments. In each microcosm, we harvested litter bags of 10 annual plant species, over an 8-week period, to determine mass loss from decomposition. Our data showed that species differed greatly in their decomposability, but that these differences were unlikely to affect decomposition at the ecosystem level because there was no correlation between a species\u2019 decomposability and its response to N deposition (measured as population seed production under high N, relative to low N, deposition). Litter mass loss was 2% greater in high N deposition microcosms. Using a comprehensive set of measurements of the microcosm soil environments, we found that the most statistically likely explanation for this effect was increased soil enzyme activity (cellobiosidase, \u03b2-glucosidase and \u03b2-xylosidase), which appears to have occurred in response to a combination of raised soil inorganic N availability and stimulated litter inputs. Our data indicate that direct effects of N deposition on litter input and soil N availability significantly affected decomposition but indirect effects did not. We argue that indirect effects of changes to plant species composition could be stronger in natural ecosystems, which often contain a greater diversity of plant functional types than those considered here.", "keywords": ["2. Zero hunger", "570", "Litter decomposition", "04 agricultural and veterinary sciences", "15. Life on land", "Nitrogen deposition", "630", "Plant species composition", "C:N ratio", "13. Climate action", "Decomposer community", "PLFA", "0401 agriculture", " forestry", " and fisheries", "Soil enzyme activities"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2007.08.023"}, {"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.2007.08.023", "name": "item", "description": "10.1016/j.soilbio.2007.08.023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2007.08.023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-03-01T00:00:00Z"}}, {"id": "10.1016/j.still.2008.09.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:17:15Z", "type": "Journal Article", "created": "2008-11-08", "title": "Stratification Ratio Of Soil Organic Matter Pools As An Indicator Of Carbon Sequestration In A Tillage Chronosequence On A Brazilian Oxisol", "description": "Abstract   Long-term no-tillage (NT) leads to profile stratification of soil organic matter (SOM) pools, and the soil organic carbon (SOC) stratification ratio (SR) is an indicator of soil quality. The objective of this report is to assess the feasibility of using SOC-SR as an index for estimating SOC sequestration in NT soils. The effect of a plow tillage (PT) and NT chronosequence on the SR of SOM pools was assessed in an Oxisol in Southern Brazil (50\u00b023\u2032W and 24\u00b036\u2032S). The chronosequence consisted of six sites: (i) native field (NF); (ii) PT of the native field (PNF-1) involving conversion of natural vegetation to cropland; (iii) NT for 10 years (NT-10); (iv) NT for 20 years (NT-20); (v) NT for 22 years (NT-22); (vi) conventional tillage for 22 years (CT-22). Soil samples were collected from four depths (0\u20135\u00a0cm; 5\u201310\u00a0cm; 10\u201320\u00a0cm; 20\u201340\u00a0cm layer) and soil parameters comprised by SOM pools [i.e., C, N, S, particulate organic C (POC), particulate N (PN), stable C (SC) and stable N (SN), microbial biomass C (MBC) and microbial biomass N (MBN), basal respiration (BR), dissolved organic C (DOC), total polysaccharides (TP) and labile polysaccharides (LP)] were measured. In undisturbed NF soil, the SR of all parameters increased with increase in soil depth. In contrast, the SR decreased in PT, and the SOM was uniformly distributed in the soil profile. All NT treatments restored the SR, and were characterized with higher values of all measured parameters compared to NF. The SR for SOC ranged from 1.12 to 1.51 for CT-22 compared with 1.64\u20132.61 SR for NT surface and sub-soil layers, respectively. The SR for POC and PN were higher than those for stable C and N. However, SR for the biological pools (e.g., MBC, MBN and BR) were the highest and strongly correlated with the rate of SOC sequestration. An increase in SR of SOC was also positively correlated with the rate and amount of SOC sequestered. Regression analyses indicated a strong correlation between SR of SOC and all parameters monitored in this study. The data showed that the SR of SOC is an efficient indicator of C sequestration in long-term NT management.", "keywords": ["Carbon sequestration", "2. Zero hunger", "Soil organic matter", "Chronosequence", "No-till", "Black oats", "04 agricultural and veterinary sciences", "15. Life on land", "Soil fertility", "Stratification ratio", "Soil quality", "Lupine", "6. Clean water", "Tillage", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "Som pools", "Oxisols", "Field Scale", "Conservation tillage"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2008.09.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2008.09.003", "name": "item", "description": "10.1016/j.still.2008.09.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2008.09.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-04-01T00:00:00Z"}}, {"id": "10.1016/j.still.2010.10.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:17:16Z", "type": "Journal Article", "created": "2010-12-05", "title": "Soil Carbon Storage And Stratification Under Different Tillage Systems In A Semi-Arid Region", "description": "Open AccessChanges in the agricultural management can potentially increase the accumulation rate of soil organic carbon (SOC), thereby sequestering CO2 from the atmosphere. In a long-term experiment (1992-2008) we examined the effects of various tillage intensities: no-tillage (NT), minimum tillage with chisel plow (MT), and conventional tillage with mouldboard plow (CT), on the topsoil profile distribution (0-30cm) of SOC, on a semi-arid loamy soil from Central Spain. The crop sequence established was cheap pea (Cicer arietinun L.) cv. Inmaculada/barley (Hordeum vulgare L.) cv. Volley. Soil organic carbon in the various tillage treatments was expressed on a content bases and the equivalent soil mass approach. Measurements made at the end of 17 years showed that in the 0-30cm depth, stocks of SOC had increased under NT compared with MT and CT. Most dramatic changes occurred within the 0-5cm layer where plots under NT had 5.8 and 7.6Mgha-1 more SOC than under MT or CT respectively. No-tillage plots, however, exhibited strong vertical gradients of SOC with concentrations decreasing from 0-5 to 20-30cm. Stratification ratios of SOC in 1992 showed no significant differences between tillage systems. On the contrary, from 1993 onwards all stratification ratios were significantly higher in NT than in the other two tillage systems. In addition, since 2003 stratification ratios of SOC obtained under NT were systematically >2 and more than 2-fold those obtained under MT and CT. Stratification ratios >2 are uncommon under degraded conditions and could suggest that NT management system may have the most benefits to soil quality in semi arid regions with low native soil organic matter. \u00a9 2010 Elsevier B.V.", "keywords": ["2. Zero hunger", "Carbon stocks", "Long-term experiments", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Stratification ratio", "Conservation tillage", "Semi-arid soils"], "contacts": [{"organization": "L\u00f3pez-Fando, Cristina, Pardo Fern\u00e1ndez, Mar\u00eda Teresa,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.still.2010.10.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2010.10.011", "name": "item", "description": "10.1016/j.still.2010.10.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2010.10.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-01-01T00:00:00Z"}}, {"id": "10.1046/j.1365-2486.2001.00388.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:17:59Z", "type": "Journal Article", "created": "2003-03-11", "title": "Chemistry And Decomposition Of Litter From Populus Tremuloides Michaux Grown At Elevated Atmospheric Co2 And Varying N Availability", "description": "Summary<p>It has been hypothesized that greater production of total nonstructural carbohydrates (TNC) in foliage grown under elevated atmospheric carbon dioxide (CO2) will result in higher concentrations of defensive compounds in tree leaf litter, possibly leading to reduced rates of decomposition and nutrient cycling in forest ecosystems of the future. To evaluate the effects of elevated atmospheric CO2on litter chemistry and decomposition, we performed a 111 day laboratory incubation with leaf litter of trembling aspen (Populus tremuloidesMichaux) produced at 36\uffe2\uff80\uff83Pa and 56\uffe2\uff80\uff83Pa CO2and two levels of soil nitrogen (N) availability. Decomposition was quantified as microbially respired CO2and dissolved organic carbon (DOC) in soil solution, and concentrations of nonstructural carbohydrates, N, carbon (C), and condensed tannins were monitored throughout the incubation. Growth under elevated atmospheric CO2did not significantly affect initial litter concentrations of TNC, N, or condensed tannins. Rates of decomposition, measured as both microbially respired CO2and DOC did not differ between litter produced under ambient and elevated CO2. Total C lost from the samples was 38\uffe2\uff80\uff83mg\uffe2\uff80\uff83g\uffe2\uff88\uff921litter as respired CO2and 138\uffe2\uff80\uff83mg\uffe2\uff80\uff83g\uffe2\uff88\uff921litter as DOC, suggesting short\uffe2\uff80\uff90term pulses of dissolved C in soil solution are important components of the terrestrial C cycle. We conclude that litter chemistry and decomposition in trembling aspen are minimally affected by growth under higher concentrations of CO2.</p>", "keywords": ["Ecology and Evolutionary Biology", "carbohydrates", "Quaking aspen", "forest-soil", "litter-plant", "nitrogen", "nitrogen-", "Microlysimeter", "soil-chemistry", "cycling-", "populus-tremuloides", "Geology and Earth Sciences", "Soil Carbon", "Microbiology of soils", "Carbon cycle", "04 agricultural and veterinary sciences", "GLOBAL-ECOLOGY", "chemical-composition", "Organic-matter", "soil-solution", "nutrient-availability", "Tannin", "leaf-litter", "Science", "decomposition-", "Nutrient enrichment", "Carbohydrates", "carbohydrates-", "respiration-", "carbon-dioxide-enrichment", "Nitrogen in soil", "michigan-", "carbon sinks", "C", "Nutrient budget of forests", "Litter", "Populus tremuloides", "Global Change", "tannins-", "Decomposition", "forest-litter", "Foliage", "Carbon dioxide effects on forest litter", "Climatic changes", "15. Life on land", "carbon-nitrogen-ratio", "Forest litter decomposition", "N Ratio", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "microbial-activities", "nitrogen-content"]}, "links": [{"href": "https://doi.org/10.1046/j.1365-2486.2001.00388.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1046/j.1365-2486.2001.00388.x", "name": "item", "description": "10.1046/j.1365-2486.2001.00388.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1046/j.1365-2486.2001.00388.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-01-01T00:00:00Z"}}, {"id": "10.1139/x89-213", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:19:16Z", "type": "Journal Article", "created": "2008-01-08", "title": "The Effect Of Wildfire On Soil Chemistry In 4 Forest Types In Interior Alaska", "description": "<p> Soil chemical properties were studied after a wildfire in stands of white spruce (Piceaglauca (Moench) Voss), black spruce (Piceamariana (Mill.) B.S.P.), paper birch (Betulapapyrifera Marsh.), and quaking aspen (Populustremuloides Michx.). Samples of the forest floor and surface 5\uffe2\uff80\uff82cm of mineral soil were collected from burned sites and unburned controls and analyzed soon after the fire. With the exception of soil pH, effects of the fire on soil chemistry differed among the four forest types. Generally, amounts of exchangeable K, Ca, and Mg did not appreciably increase in the forest floor and surface mineral soil except in heavily burned areas in white spruce and black spruce. Fire reduced amounts of N by about 50% in white spruce, aspen, and birch forest floors. In black spruce, quantities of N were slightly higher in heavily burned locations. Forest floor C:N ratios were substantially lower in heavily burned locations in white spruce and black spruce than in unburned controls. Burning did not have a marked influence on supplies of available P in the forest floor, except in heavily burned black spruce, where average amounts were 12.50\uffe2\uff80\uff82g/m2 versus only 0.46\uffe2\uff80\uff82g/m2 in the control. Burning caused more moderate gains in available P in surface mineral soils under aspen and white spruce. We concluded that fire caused marked short-term changes in soil chemistry in the four forest types. How long these changes will persist is unknown. </p>", "keywords": ["Spermatophyta", "Angiosperms", "PH", "Coniferopsida: Gymnospermae", "Betula Papyrifera", "Gymnosperms", "01 natural sciences", "Dicots", "Picea Mariana", "Picea Glauca", "Populus Tremuloides", "Betulaceae: Dicotyledones", "Spermatophytes", "Magnesium", "Plantae", "Forest Sciences", "0105 earth and related environmental sciences", "Plant Carbon Nitrogen Ratio", "Vascular Plants", "Salicaceae: Dicotyledones", "Phosphorus", "Forestry", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "Angiospermae", "Potassium", "0401 agriculture", " forestry", " and fisheries", "Calcium"], "contacts": [{"organization": "Dyrness, D.T., Van Cleve, K., Levison, J.D.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1139/x89-213"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Canadian%20Journal%20of%20Forest%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1139/x89-213", "name": "item", "description": "10.1139/x89-213", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1139/x89-213"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1989-11-01T00:00:00Z"}}, {"id": "10.15201/hungeobull.69.3.4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:19:40Z", "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": "10.1594/pangaea.960025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:19:52Z", "type": "Dataset", "title": "Analysis of the high density coarse fraction (HDC) from the nearshore zone of Herschel Island (Yukon, Canada)", "keywords": ["14C AMS", "MICADAS accelerator mass spectrometer AMS", "Elemental analyzer (EA)", " Thermo Scientific", " FlashEA 1112", "Fraction modern carbon", "Permafrost", "Quantachrome", "Age", " dated", "Surface area analyzer", " Quantachrome", " Nova 4200e; 6-point Brunauer\u2013Emmett\u2013Teller (BET) method according to Brunauer et al. (1938)", "Arctic", "Elemental analyzer EA", "Isotope ratio mass spectrometry-elemental analyzer (IRMS-EA)", " Thermo Finnigan", " Delta XP; Elemental analyzer (EA)", " Thermo Scientific", " FlashEA 1112", "Thermo Scientific", "Calculated", "Carbon Nitrogen ratio", "Carbon", " organic", " loading", "total", "Laboratory code label", "Minerals", "Multiple investigations", "Laboratory code/label", "Ionplus according to McIntyre et al 2017 and Haghipour et al 2018", "Minerals", " surface area", "error", "loading", "Nitrogen", " total", "Earth System Research", "\u03b413C", "FlashEA 1112", "Isotope ratio mass spectrometry elemental analyzer IRMS EA", "Nitrogen", "organic", "\u039414C", "MICADAS accelerator mass spectrometer (AMS)", " Ionplus; according to McIntyre et al. (2017) and Haghipour et al. (2018)", "Surface area analyzer", "dated", "Age", "Delta XP Elemental analyzer EA", "Organic carbon", "Comment", "surface area", "Carbon", "Carbon/Nitrogen ratio", "relative", "Thermo Finnigan", "sediment", "Sample ID", "Age", " 14C AMS", "Biomarkers", "Nova 4200e 6 point Brunauer Emmett Teller BET method according to Brunauer et al 1938", "Carbon", " organic", " total", "Fraction modern carbon", " error", " relative"]}, "links": [{"href": "https://doi.org/10.1594/pangaea.960025"}, {"rel": "self", "type": "application/geo+json", "title": "10.1594/pangaea.960025", "name": "item", "description": "10.1594/pangaea.960025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1594/pangaea.960025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1594/pangaea.963212", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:19:52Z", "type": "Dataset", "title": "Stream water chemistry and landscape characteristics in Zackenberg Valley, NE Greenland summer 2021", "description": "The data contains water chemistry and spectral catchment NDVI for 14 streams in Zackenberg Valley in Northeast Greenland, sampled summer 2021 from 10th July to 15th September. We collected water samples for measuring water chemistry, and we determined landscape parameters using GIS based tools. The data was collected at three sampling periods in summer 2021 in the Zackenberg Research Station (74\u00b028'N, 20\u00b034'W). The area has a polar tundra climate with mean annual air temperature of -9.1 \u00b0C. Water chemistry (i.e. dissolved and particulate nitrogen, phosphorus, carbon; dissolved iron and silicate) and catchment characteristics (i.e. catchment area, altitude, slope, aspect, NDVI, snow cover) was measured for each of the 14 stream sites. Water chemistry samples were collected and analyzed using standard methods, and landscape characteristics were determined using GIS resources. The data was collected in order to study relationships between landscape characteristics and stream water chemistry. The water samples were collected by a team of two people, and the detailed methods are given below.", "keywords": ["inorganic", "median", "Nitrate Nitrogen", "Nitrogen", " inorganic", " dissolved/Nitrogen", " total dissolved ratio", "Nitrate", "Normalized Difference Vegetation Index", "Latitude of event", "Inductively Coupled Plasma Mass Spectrometry ICP MS", "Arctic", "Temperature", " water", "WTW", "Total organic carbon analyzer TOC VCPH TNM 1", "Total organic carbon analyzer (TOC-VCPH/TNM-1)", " Shimadzu", "Calculated", "dissolved ratio", "Nitrate/Nitrogen", " inorganic", " dissolved ratio", "total dissolved ratio", "Multiple investigations", "Temperature", "Nitrogen", " total dissolved", "Month", "dissolved", "specific", "streams", "6. Clean water", "Nitrogen", " inorganic", " dissolved", "Chemistry", "Inductively Coupled Plasma - Mass Spectrometry (ICP-MS)", " PerkinElmer Instruments", " Optima 2000 DV", "Sum cations", "Natural Sciences", "Ammonium", "Potassium Silicon ratio", "Calcium Magnesium ratio", "Conductivity Meter", " WTW", " ProfiLine Cond 3110", "Longitude of event", "Silicon", "Lachat QuickChem 8500 flow injection autoanalyser", "Nitrogen", "organic", "water chemistry", "Iron", "Calcium/Magnesium ratio", "water", "Site", "Nitrate/Ammonium ratio", "Aspect", "Normalized Differenced Vegetation Index", " median", "Ammonium Nitrogen", "Normalized Differenced Vegetation Index", "Catchment area", "Slope", "PerkinElmer Instruments", "ProfiLine Cond 3110", "Shimadzu", "Date/Time of event", "Conductivity Meter", "Nitrate Ammonium ratio", "total dissolved", "Conductivity", "Event label", "Date Time of event", "Nitrogen", " inorganic", " dissolved/Nitrogen", " organic", " dissolved ratio", "15. Life on land", "Carbon", " organic", " dissolved", "dissolved Nitrogen", "Elevation of event", "Carbon", "rivers", "Snow coverage", "Greening", "Potassium/Silicon ratio", "Optima 2000 DV", "Nitrogen", " organic", " dissolved", "13. Climate action", "Discharge", "Conductivity", " specific", "Ammonium/Nitrogen", " inorganic", " dissolved ratio"], "contacts": [{"organization": "Riis, Tenna, Tank, Jennifer, Holmboe, Cecilie Marie Hartvig, Gim\u00e9nez-Grau, Pau, Mastepanov, Mikhail, Catalan, Nuria, Stott, David, Hansen, Birgitte, Kristiansen, S\u00f8ren M, Pastor, Ada,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1594/pangaea.963212"}, {"rel": "self", "type": "application/geo+json", "title": "10.1594/pangaea.963212", "name": "item", "description": "10.1594/pangaea.963212", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1594/pangaea.963212"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.1594/pangaea.972409", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:19:53Z", "type": "Dataset", "title": "Organic carbon content, stable carbon isotope ratios, and lignin phenol fingerprint of terrestrial material deposited at the paleo-delta of the Lena River at the transition to the Preboreal", "description": "The dataset was used to reconstruct the release of permafrost organic carbon from the watershed of the Lena River (Russia) between 11.1 and 11.7 calibrated thousand years Before Present (cal. kyr BP, Present = 1950 AD) and to model potential methane emissions from this carbon source. Data were obtained analyzing plant debris isolated from the low density fraction (&lt;1.8 g/cm3) of muddy sediments from the Piston Core 23 (PC23). The sediment core was retrieved in July 2014 in the mid/outer-shelf of the Laptev Sea shelf (76\u00b0 10' 15.6''N; 129\u00b0 20' 13.2''E, water depth of 56 m) during Leg 1 of the SWERUS-C3 expedition (Swedish-Russian-U.S. Arctic Ocean \u2013 Investigation of Climate-Cryosphere-Carbon interactions). Measurement of total organic carbon (TOC) and stable (d\u00b9\u00b3C) carbon isotopes were performed on 0.3 to 0.7 mg of samples on February 2022 using a Thermo DeltaQ isotope-ratio mass spectrometer (IRMS) coupled to a Thermo Flash 2000 Elemental Analyzer via a ConFlo IV interface at the at the Institute of Polar Sciences from the National Research Council of Italy (Bologna Section, Italy). The methodology for sample preparation followed Nieuwenhuize et al. (1994). Data on biomarkers (lignin phenols) were obtained extracting 2 to 3 mg of samples using a Microwave Accelerated Reaction System (MARS) 5 from CEM and following the methodology from Go\u00f1i &amp; Montgomery (2000). The extracts were analysed using a Agilent 7890A gas chromatograph (GC) coupled to an Agilent 5975C mass spectrometer to identify and quantify the compounds of interest. Biomarkers extraction and analyses were carried out on March 2022 in the organic chemistry laboratories of the Ente Nazionale Idrocarburi (ENI)-National Research Council (CNR) of Italy Joint Research Center 'Aldo Pontremoli' (Lecce, Italy). Stable isotope ratios and biomarkers were used to gain insights on the main vegetation source of the plant debris and (biomarkers only) to investigate the degradation state of the terrestrial material.", "keywords": ["5 dihydroxybenzoic acid per unit mass organic carbon", "p Coumaric acid per unit mass organic carbon", "SWERUS C3", "p-Hydroxybenzaldehyde per unit mass organic carbon", "Permafrost", "p Hydroxybenzaldehyde per unit mass organic carbon", "Latitude of event", "Arctic", "Gas chromatography (GC", " Agilent 7890A) equipped with a mass selective detector (MSD", " Agilent 5975C) and a flame ionization detector (FID", " Agilent 7683B)", "p-Hydroxybenzoic acid per unit mass organic carbon", "p-Hydroxyacetophenone/p-hydroxyl phenols ratio", "bottom maximum", "top min", "total", "Sample code/label", "p-Coumaric acid per unit mass organic carbon", "Vanillic acid vanillin ratio", "Deglaciation", "p-Hydroxyl phenols/vanillyl phenols ratio", "Depth", " sediment/rock", " bottom/maximum", "Syringic acid per unit mass organic carbon", "p-Hydroxyl phenols per unit mass organic carbon", "Sample code label", "p Hydroxyl phenols per unit mass organic carbon", "Depth", " top/min", "Acetovanillone per unit mass organic carbon", "Vanillic acid per unit mass organic carbon", "p Hydroxybenzoic acid per unit mass organic carbon", "p Hydroxyacetophenone per unit mass organic carbon", "Vanillic acid/vanillin ratio", "sediment rock", "p Hydroxyl phenols vanillyl phenols ratio", "Syringyl phenols vanillyl phenols ratio", "Earth System Research", "\u03b413C", "Ferulic acid per unit mass organic carbon", "Syringaldehyde per unit mass organic carbon", "Vanillin per unit mass organic carbon", "Methane", "Piston corer", "Isotope ratio mass spectrometer", " Thermo", " DeltaQ; coupled to an Elemental Analyzer; Thermo Flash 2000 via a ConFlo IV", "Longitude of event", "Syringyl phenols per unit mass organic carbon", "organic", "Syringic acid/syringaldehyde ratio", "Cinnamyl phenols/vanillyl phenols ratio", "DEPTH", " sediment/rock", "5 dihydroxybenzoic acid vanillyl phenols ratio", "Oden", "Cinnamyl phenols vanillyl phenols ratio", "Agilent 7683B", "p-Hydroxyacetophenone per unit mass organic carbon", "Date/Time of event", "Acetosyringone per unit mass organic carbon", "3", "5-dihydroxybenzoic acid per unit mass organic carbon", "Depth", "Event label", "Date Time of event", "p Hydroxyacetophenone p hydroxyl phenols ratio", "Vanillyl phenols per unit mass organic carbon", "Elevation of event", "Syringyl phenols/vanillyl phenols ratio", "Agilent 5975C and a flame ionization detector FID", "Carbon", "Cinnamyl phenols per unit mass organic carbon", "Agilent 7890A equipped with a mass selective detector MSD", "DEPTH", "Syringic acid syringaldehyde ratio", "3", "5-dihydroxybenzoic acid/vanillyl phenols ratio", "Gas chromatography GC", "Thermo", "SWERUS-C3", "Isotope ratio mass spectrometer", "DeltaQ coupled to an Elemental Analyzer Thermo Flash 2000 via a ConFlo IV", "Carbon", " organic", " total"], "contacts": [{"organization": "Sabino, Mathia, Gustafsson, \u00d6rjan, Wild, Birgit, Semiletov, Igor P, Dudarev, Oleg V, Ingrosso, Gianmarco, Tesi, Tommaso,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1594/pangaea.972409"}, {"rel": "self", "type": "application/geo+json", "title": "10.1594/pangaea.972409", "name": "item", "description": "10.1594/pangaea.972409", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1594/pangaea.972409"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.2136/sssaj1994.03615995005800010025x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:20:18Z", "type": "Journal Article", "created": "2010-07-28", "description": "Abstract<p>Deforestation is one of the main reasons for the global net release of CO2 from soil to atmosphere. Estimates of CO2 emission from soils are highly variable, mainly due to limited data of C dynamics in soils after forest clearing. The objective of this study was to calculate the changes in soil organic carbon (SOC) storage after deforestation in three soil types in the Atlantic Zone of Costa Rica with help of the \uffce\uffb413C method. Changes in bulk density, which normally accompany land use changes, had a profound influence on the results of the calculations. Deforestation, followed by 25 yr of pasture, caused a net loss of 21.8 Mg ha\uffe2\uff88\uff921 in SOC for an Eutric Hapludand and 1.5 Mg ha\uffe2\uff88\uff921 for an Oxic Humitropept. The SOC changes in time were studied on a deforestation sequence on an Andic Humitropept. In the first years after forest clearing, decomposition of tree roots caused an extra input of SOC, which influenced the \uffce\uffb413C signal. Decomposition of forest C and increase of pasture C were mathematically described for several depths. A considerable influence of depth on decomposition rates was found. The strong stabilization of organic C by Al\uffe2\uff80\uff90organic matter complexes probably caused the relatively small net C loss from SOC since forest clearing.</p>", "keywords": ["forests", "forestry", "carbon dioxide", "land use", "04 agricultural and veterinary sciences", "15. Life on land", "costa rica", "waste land", "01 natural sciences", "carbon-nitrogen ratio", "soil", "13. Climate action", "afforestation", "deforestation", "0401 agriculture", " forestry", " and fisheries", "relationships", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Veldkamp, E.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.2136/sssaj1994.03615995005800010025x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Science%20Society%20of%20America%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/sssaj1994.03615995005800010025x", "name": "item", "description": "10.2136/sssaj1994.03615995005800010025x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/sssaj1994.03615995005800010025x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1994-01-01T00:00:00Z"}}, {"id": "10.3389/ffgc.2021.686945", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:20:47Z", "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": "10.3390/rs14092075", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:09Z", "type": "Journal Article", "created": "2022-04-27", "title": "How Much of a Pixel Needs to Burn to Be Detected by Satellites? A Spectral Modeling Experiment Based on Ecosystem Data from Yellowstone National Park, USA", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>We present a simple modeling technique based on linear spectral mixture analysis to assess satellite detectability of sub-pixel burned area. Pixel observations are modeled using a linear combination of pure land covers, called endmembers. We executed an experiment using spectral data from Yellowstone National Park, USA. Using endmember samples from spectral libraries, pixel samples were assessed on burn detectability using the widely used differenced Normalized Burn Ratio (dNBR). While individual samples yielded differing results for Landsat 8, Sentinel-2, and the Moderate Resolution Imaging Spectroradiometer (MODIS), the average park-wide detectability of burned area was consistent across satellites. For the commonly used dNBR threshold of 0.15, the results indicated that detectability is reached when around a quarter of a pixel\u2019s area is burned. However, a significant percentage of the modeled burned pixels remained undetectable, especially those with low pre-fire vegetation cover. This has consequences for burned area estimates, as smaller fires in sparsely vegetated terrain may remain undetected in moderate resolution burned area products.</p></article>", "keywords": ["13. Climate action", "Science", "Q", "burned area detection", "0401 agriculture", " forestry", " and fisheries", "burned area detection; differenced Normalized Burn Ratio; spectral mixture analysis; Yellowstone National Park", "04 agricultural and veterinary sciences", "Yellowstone National Park", "15. Life on land", "spectral mixture analysis", "differenced Normalized Burn Ratio"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/9/2075/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/9/2075/pdf"}, {"href": "https://doi.org/10.3390/rs14092075"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs14092075", "name": "item", "description": "10.3390/rs14092075", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs14092075"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-26T00:00:00Z"}}, {"id": "10.3390/rs13224611", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:08Z", "type": "Journal Article", "created": "2021-11-17", "title": "Evaluating the Hyperspectral Sensitivity of the Differenced Normalized Burn Ratio for Assessing Fire Severity", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Fire severity represents fire-induced environmental changes and is an important variable for modeling fire emissions and planning post-fire rehabilitation. Remotely sensed fire severity is traditionally evaluated using the differenced normalized burn ratio (dNBR) derived from multispectral imagery. This spectral index is based on bi-temporal differenced reflectance changes caused by fires in the near-infrared (NIR) and short-wave infrared (SWIR) spectral regions. Our study aims to evaluate the spectral sensitivity of the dNBR using hyperspectral imagery by identifying the optimal bi-spectral NIR SWIR combination. This assessment made use of a rare opportunity arising from the pre- and post-fire airborne image acquisitions over the 2013 Rim and 2014 King fires in California with the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) sensor. The 224 contiguous bands of this sensor allow for 5760 unique combinations of the dNBR at a high spatial resolution of approximately 15 m. The performance of the hyperspectral dNBR was assessed by comparison against field data and the spectral optimality statistic. The field data is composed of 83 in situ measurements of fire severity using the Geometrically structured Composite Burn Index (GeoCBI) protocol. The optimality statistic ranges between zero and one, with one denoting an optimal measurement of the fire-induced spectral change. We also combined the field and optimality assessments into a combined score. The hyperspectral dNBR combinations demonstrated strong relationships with GeoCBI field data. The best performance of the dNBR combination was derived from bands 63, centered at 0.962 \u00b5m, and 218, centered at 2.382 \u00b5m. This bi-spectral combination yielded a strong relationship with GeoCBI field data of R2 = 0.70 based on a saturated growth model and a median spectral index optimality statistic of 0.31. Our hyperspectral sensitivity analysis revealed optimal NIR and SWIR bands for the composition of the dNBR that are outside the ranges of the NIR and SWIR bands of the Landsat 8 and Sentinel-2 sensors. With the launch of the Precursore Iperspettrale Della Missione Applicativa (PRISMA) in 2019 and several planned spaceborne hyperspectral missions, such as the Environmental Mapping and Analysis Program (EnMAP) and Surface Biology and Geology (SBG), our study provides a timely assessment of the potential and sensitivity of hyperspectral data for assessing fire severity.</p></article>", "keywords": ["composite burn index", "Science", "Q", "04 agricultural and veterinary sciences", "01 natural sciences", "differenced normalized burn ratio", "fire severity", "hyperspectral imagery", "13. Climate action", "Airborne Visible/Infrared Imaging Spectrometer", "0401 agriculture", " forestry", " and fisheries", "spectral index optimality", "fire severity; differenced normalized burn ratio; composite burn index; spectral index optimality; hyperspectral imagery; Airborne Visible/Infrared Imaging Spectrometer", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/22/4611/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/22/4611/pdf"}, {"href": "https://doi.org/10.3390/rs13224611"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13224611", "name": "item", "description": "10.3390/rs13224611", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13224611"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-16T00:00:00Z"}}, {"id": "10.5061/dryad.26d32", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:28Z", "type": "Dataset", "title": "Data from: A shady business: pine afforestation alters the primary controls on litter decomposition along a precipitation gradient in Patagonia, Argentina", "description": "unspecifiedOur understanding of the principal controls on litter decomposition is  critical for our capacity to predict how global changes will impact  terrestrial ecosystems. Although climate, litter quality and soil  organisms clearly modulate carbon (C) and nutrient turnover, land-use  change affecting plant species composition and structure can alter the  relative importance of such controls. We took advantage of prior land-use  changes of intentional planting of exotic forest species along a broad  precipitation gradient [250\u20132200 mm mean annual precipitation (MAP)] in  Patagonia, South America, where we established five paired sites in  natural vegetation and adjacent 35-year-old pine plantations. We explored  direct and interactive effects of precipitation and plant community  structure on litter decomposition with in situ decomposition, common  litters and reciprocal transplants, in addition to an evaluation of  microenvironmental changes. Surface litter decomposition in natural  vegetation (NV) was similar in all sites along the gradient, independent  of litter quality, MAP or soil characteristics, while mass loss  demonstrated a significant positive linear relationship with MAP in pine  plantations (PP). Decomposition of common litters in PP was markedly  reduced with respect to NV, which was &gt; 50% faster at the arid  extreme of the gradient. C:N ratios predicted decomposition only in PP,  and differences in decomposition were highly correlated with impacts of  vegetative cover on incident solar radiation. Synthesis. Concurrent  changes in plant cover in NV with increasing MAP resulted in reduced  incident solar radiation at the soil surface and decreased the relative  importance of photodegradation as a control on surface mass loss. These  changes eclipsed direct effects of water availability, litter quality and  soil nutrients. In contrast, increased shade and recalcitrant litter with  afforestation in PP sites combined such that photodegradation was entirely  eliminated as a control and biotic decomposition was much reduced. While  afforestation projects are promoted as a strategy to mitigate increased  atmospheric carbon dioxide due to human activity, our results highlight  that primary controls of litter decomposition were substantially altered  with unexpected consequences for the C balance of these ecosystems.", "keywords": ["13. Climate action", "litter quality", "Carbon cycle", "15. Life on land", "photodegradation", "plant-climate interactions", "Lignin", "C:N ratio", "Pinus ponderosa", "organic matter"], "contacts": [{"organization": "Araujo, Patricia I., Austin, Amy T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.26d32"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.26d32", "name": "item", "description": "10.5061/dryad.26d32", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.26d32"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-06-09T00:00:00Z"}}, {"id": "10.5061/dryad.rbnzs7hhb", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:37Z", "type": "Dataset", "created": "2023-09-28", "title": "Carbon availability affects already large species-specific differences in chemical composition of ectomycorrhizal fungal mycelia in pure culture", "description": "unspecifiedAlthough ectomycorrhizal (ECM) contribution to soil organic matter  processes receives increased attention, little is known about fundamental  differences in chemical composition among species, and how that may be  affected by carbon (C) availability. Here we study how 16 species (incl.  19 isolates) grown in pure culture at three different C:N ratios (10:1,  20:1 and 40:1) vary in chemical structure, using Fourier transform  infrared (FTIR) spectroscopy. We hypothesised that C availability impacts  directly on chemical composition, expecting increased C availability to  lead to more carbohydrates and less proteins in the mycelia. There were  strong and significant effects of ECM species (R2 = 0.873 and P = 0.001)  and large species-specific differences in chemical composition. Chemical  composition also changed significantly with C availability, and increased  C led to more polysaccharides and less proteins for many species, but not  all. Understanding how chemical composition change with altered C  availability is a first step towards understanding their role in organic  matter accumulation and decomposition.", "keywords": ["Pure culture", "cell wall composition", "carbon availability", "ectomycorrhizal fungi", "Carbohydrates", "Fungi", "Chemical composition", "Fourier-transform infrared spectroscopy", "Proteins", "15. Life on land", "C:N ratio", "soil organic carbon", "FTIR spectra", "FOS: Biological sciences", "mycelia"], "contacts": [{"organization": "Fransson, Petra, Robertson, A H Jean, Campbell, Colin D,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.rbnzs7hhb"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.rbnzs7hhb", "name": "item", "description": "10.5061/dryad.rbnzs7hhb", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.rbnzs7hhb"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-05T00:00:00Z"}}, {"id": "10.5061/dryad.zpc866t6r", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-07-25T16:21:39Z", "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": "2318/2070051", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:25:46Z", "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": "3212123848", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:26:25Z", "type": "Journal Article", "created": "2021-11-17", "title": "Evaluating the Hyperspectral Sensitivity of the Differenced Normalized Burn Ratio for Assessing Fire Severity", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Fire severity represents fire-induced environmental changes and is an important variable for modeling fire emissions and planning post-fire rehabilitation. Remotely sensed fire severity is traditionally evaluated using the differenced normalized burn ratio (dNBR) derived from multispectral imagery. This spectral index is based on bi-temporal differenced reflectance changes caused by fires in the near-infrared (NIR) and short-wave infrared (SWIR) spectral regions. Our study aims to evaluate the spectral sensitivity of the dNBR using hyperspectral imagery by identifying the optimal bi-spectral NIR SWIR combination. This assessment made use of a rare opportunity arising from the pre- and post-fire airborne image acquisitions over the 2013 Rim and 2014 King fires in California with the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) sensor. The 224 contiguous bands of this sensor allow for 5760 unique combinations of the dNBR at a high spatial resolution of approximately 15 m. The performance of the hyperspectral dNBR was assessed by comparison against field data and the spectral optimality statistic. The field data is composed of 83 in situ measurements of fire severity using the Geometrically structured Composite Burn Index (GeoCBI) protocol. The optimality statistic ranges between zero and one, with one denoting an optimal measurement of the fire-induced spectral change. We also combined the field and optimality assessments into a combined score. The hyperspectral dNBR combinations demonstrated strong relationships with GeoCBI field data. The best performance of the dNBR combination was derived from bands 63, centered at 0.962 \u00b5m, and 218, centered at 2.382 \u00b5m. This bi-spectral combination yielded a strong relationship with GeoCBI field data of R2 = 0.70 based on a saturated growth model and a median spectral index optimality statistic of 0.31. Our hyperspectral sensitivity analysis revealed optimal NIR and SWIR bands for the composition of the dNBR that are outside the ranges of the NIR and SWIR bands of the Landsat 8 and Sentinel-2 sensors. With the launch of the Precursore Iperspettrale Della Missione Applicativa (PRISMA) in 2019 and several planned spaceborne hyperspectral missions, such as the Environmental Mapping and Analysis Program (EnMAP) and Surface Biology and Geology (SBG), our study provides a timely assessment of the potential and sensitivity of hyperspectral data for assessing fire severity.</p></article>", "keywords": ["composite burn index", "Science", "Q", "04 agricultural and veterinary sciences", "01 natural sciences", "differenced normalized burn ratio", "fire severity", "hyperspectral imagery", "13. Climate action", "Airborne Visible/Infrared Imaging Spectrometer", "0401 agriculture", " forestry", " and fisheries", "spectral index optimality", "fire severity; differenced normalized burn ratio; composite burn index; spectral index optimality; hyperspectral imagery; Airborne Visible/Infrared Imaging Spectrometer", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/22/4611/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/22/4611/pdf"}, {"href": "https://doi.org/3212123848"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3212123848", "name": "item", "description": "3212123848", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3212123848"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-16T00:00:00Z"}}, {"id": "10.5281/zenodo.16614097", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:23:15Z", "type": "Dataset", "title": "BETA-FOR_SP4_SoilCN_2023", "description": "unspecifiedAt each subpatch of all patches, we took a soil core with 10 cm depth and 5 cm diameter. It is important to note that we only roughly removed litter and the soil cores include organic and mineral soil together. After sieving the soil at 2 mm, soil samples were dried at 30 \u00b0C for 72 h, ground, and then transferred into tin capsules (20 mg each). The analysis was conducted using dry combustion with a VarioEL cube IR elemental analyzer. The C and N content were provided as the percentage of the element's mass relative to the sample mass, and the C:N ratio was calculated from these values.", "keywords": ["Soil nitrogen", "Soil C:N ratio", "Soil carbon"], "contacts": [{"organization": "Schwarz, Rike, Cesarz, Simone, Eisenhauer, Nico,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16614097"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16614097", "name": "item", "description": "10.5281/zenodo.16614097", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16614097"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-07-30T00:00:00Z"}}, {"id": "10.5281/zenodo.3971022", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-25T16:23:26Z", "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": {"license": "Open Access", "updated": "2026-07-25T16:23:25Z", "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": "10261/362037", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:44Z", "type": "Journal Article", "created": "2024-02-01", "title": "Interplay between Livestock Grazing and Aridity on the Ecological and Nutritional Value of Forage in Semi-arid Mediterranean Rangelands (NE Spain)", "description": "Abstract<p>Rangeland-based livestock production constitutes a primary source of livelihood for many inhabitants of dryland regions. Their subsistence relies heavily on maintaining the productivity, biodiversity and services of these ecosystems. Harsh environmental conditions (e.g., drought) combined with land use intensification (e.g., overgrazing) make dryland ecosystems vulnerable and prone to degradation. However, the interplay between livestock grazing intensity and aridity conditions in driving the conservation and nutritional value of forage in arid and semi-arid rangelands is still not fully understood. In this study, we performed structural equation models (SEM) to assess the simultaneous direct and indirect effects of livestock grazing intensity and aridity level on community structure, diversity, biomass, forage production, forage C:N ratio and forage fiber composition in two semi-arid Mediterranean rangelands, NE Spain. Not surprisingly, we found that higher livestock grazing intensity led to lower community plant cover, especially when combined with higher aridity. However, both increasing grazing intensity and aridity were associated with higher forage production after one year of grazing exclusion. We did not find any adverse effect of livestock grazing on plant diversity, although plant species composition differed among grazing intensity levels. On the other hand, we found an aridity-driven trade-off in regard of the nutritional value of forage. Specifically, higher aridity was associated with a decrease in the least digestible fiber fraction (i.e., lignin) and an increase in forage C:N ratio. More interestingly, we found that livestock grazing modulated this trade-off by improving the overall forage nutritional value. Altogether, our results provide further insights into the management of semi-arid Mediterranean rangelands, pointing out that maintaining traditional rangeland-based livestock production may be a sustainable option as long as rangeland conservation (e.g., community plant cover) is not severely compromised.</p", "keywords": ["2. Zero hunger", "0106 biological sciences", "570", "Annual plant production", "Livestock", "Biodiversity", "04 agricultural and veterinary sciences", "Plants", "15. Life on land", "01 natural sciences", "630", "Article", "Plant diversity", "Spain", "13. Climate action", "Grazing intensity", "Plant fiber composition", "Animals", "0401 agriculture", " forestry", " and fisheries", "Plant C:N ratio", "Middle Ebro Valley", "Ecosystem"]}, "links": [{"href": "https://doi.org/10261/362037"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/362037", "name": "item", "description": "10261/362037", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/362037"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-01T00:00:00Z"}}, {"id": "1871.1/bb27703f-c0af-4b0d-b480-dfe2ab61ed80", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:25:18Z", "type": "Journal Article", "created": "2021-11-17", "title": "Evaluating the Hyperspectral Sensitivity of the Differenced Normalized Burn Ratio for Assessing Fire Severity", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Fire severity represents fire-induced environmental changes and is an important variable for modeling fire emissions and planning post-fire rehabilitation. Remotely sensed fire severity is traditionally evaluated using the differenced normalized burn ratio (dNBR) derived from multispectral imagery. This spectral index is based on bi-temporal differenced reflectance changes caused by fires in the near-infrared (NIR) and short-wave infrared (SWIR) spectral regions. Our study aims to evaluate the spectral sensitivity of the dNBR using hyperspectral imagery by identifying the optimal bi-spectral NIR SWIR combination. This assessment made use of a rare opportunity arising from the pre- and post-fire airborne image acquisitions over the 2013 Rim and 2014 King fires in California with the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) sensor. The 224 contiguous bands of this sensor allow for 5760 unique combinations of the dNBR at a high spatial resolution of approximately 15 m. The performance of the hyperspectral dNBR was assessed by comparison against field data and the spectral optimality statistic. The field data is composed of 83 in situ measurements of fire severity using the Geometrically structured Composite Burn Index (GeoCBI) protocol. The optimality statistic ranges between zero and one, with one denoting an optimal measurement of the fire-induced spectral change. We also combined the field and optimality assessments into a combined score. The hyperspectral dNBR combinations demonstrated strong relationships with GeoCBI field data. The best performance of the dNBR combination was derived from bands 63, centered at 0.962 \u00b5m, and 218, centered at 2.382 \u00b5m. This bi-spectral combination yielded a strong relationship with GeoCBI field data of R2 = 0.70 based on a saturated growth model and a median spectral index optimality statistic of 0.31. Our hyperspectral sensitivity analysis revealed optimal NIR and SWIR bands for the composition of the dNBR that are outside the ranges of the NIR and SWIR bands of the Landsat 8 and Sentinel-2 sensors. With the launch of the Precursore Iperspettrale Della Missione Applicativa (PRISMA) in 2019 and several planned spaceborne hyperspectral missions, such as the Environmental Mapping and Analysis Program (EnMAP) and Surface Biology and Geology (SBG), our study provides a timely assessment of the potential and sensitivity of hyperspectral data for assessing fire severity.</p></article>", "keywords": ["composite burn index", "Science", "Q", "04 agricultural and veterinary sciences", "01 natural sciences", "differenced normalized burn ratio", "fire severity", "hyperspectral imagery", "13. Climate action", "Airborne Visible/Infrared Imaging Spectrometer", "0401 agriculture", " forestry", " and fisheries", "spectral index optimality", "fire severity; differenced normalized burn ratio; composite burn index; spectral index optimality; hyperspectral imagery; Airborne Visible/Infrared Imaging Spectrometer", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/22/4611/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/22/4611/pdf"}, {"href": "https://doi.org/1871.1/bb27703f-c0af-4b0d-b480-dfe2ab61ed80"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1871.1/bb27703f-c0af-4b0d-b480-dfe2ab61ed80", "name": "item", "description": "1871.1/bb27703f-c0af-4b0d-b480-dfe2ab61ed80", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/bb27703f-c0af-4b0d-b480-dfe2ab61ed80"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-16T00:00:00Z"}}, {"id": "1871.1/70b379b0-4a32-4b22-99c2-5b6047cdc86a", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-25T16:25:17Z", "type": "Journal Article", "created": "2022-04-26", "title": "How Much of a Pixel Needs to Burn to Be Detected by Satellites? A Spectral Modeling Experiment Based on Ecosystem Data from Yellowstone National Park, USA", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>We present a simple modeling technique based on linear spectral mixture analysis to assess satellite detectability of sub-pixel burned area. Pixel observations are modeled using a linear combination of pure land covers, called endmembers. We executed an experiment using spectral data from Yellowstone National Park, USA. Using endmember samples from spectral libraries, pixel samples were assessed on burn detectability using the widely used differenced Normalized Burn Ratio (dNBR). While individual samples yielded differing results for Landsat 8, Sentinel-2, and the Moderate Resolution Imaging Spectroradiometer (MODIS), the average park-wide detectability of burned area was consistent across satellites. For the commonly used dNBR threshold of 0.15, the results indicated that detectability is reached when around a quarter of a pixel\u2019s area is burned. However, a significant percentage of the modeled burned pixels remained undetectable, especially those with low pre-fire vegetation cover. This has consequences for burned area estimates, as smaller fires in sparsely vegetated terrain may remain undetected in moderate resolution burned area products.</p></article>", "keywords": ["13. Climate action", "Science", "Q", "burned area detection", "0401 agriculture", " forestry", " and fisheries", "burned area detection; differenced Normalized Burn Ratio; spectral mixture analysis; Yellowstone National Park", "04 agricultural and veterinary sciences", "Yellowstone National Park", "15. Life on land", "spectral mixture analysis", "differenced Normalized Burn Ratio"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/14/9/2075/pdf"}, {"href": "https://www.mdpi.com/2072-4292/14/9/2075/pdf"}, {"href": "https://doi.org/1871.1/70b379b0-4a32-4b22-99c2-5b6047cdc86a"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1871.1/70b379b0-4a32-4b22-99c2-5b6047cdc86a", "name": "item", "description": "1871.1/70b379b0-4a32-4b22-99c2-5b6047cdc86a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/70b379b0-4a32-4b22-99c2-5b6047cdc86a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-26T00:00:00Z"}}, {"id": "3167308845", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:26:21Z", "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=N+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=N+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=N+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=N+Ratio&offset=35", "hreflang": "en-US"}], "numberMatched": 35, "numberReturned": 35, "distributedFeatures": [], "timeStamp": "2026-07-26T09:20:01.347207Z"}