{"type": "FeatureCollection", "features": [{"id": "10.1016/j.agee.2006.12.022", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-07-26T16:15:08Z", "type": "Journal Article", "created": "2007-01-19", "title": "Full Accounting Of The Greenhouse Gas (Co2, N2o, Ch4) Budget Of Nine European Grassland Sites", "description": "The full greenhouse gas balance of nine contrasted grassland sites covering a major climatic gradient over Europe was measured during two complete years. The sites include awide range ofmanagement regimes (rotational grazing, continuous grazing andmowing), the three main types of managed grasslands across Europe (sown, intensive permanent and semi-natural grassland) and contrasted nitrogen fertilizer supplies. At all sites, the net ecosystem exchange (NEE) of CO2 was assessed using the eddy covariance technique.N2Oemissions weremonitored using various techniques (GC-cuvette systems, automated chambers and tunable diode laser) and CH4 emissions resulting from enteric fermentation of the grazing cattle were measured in situ at four sites using the SF6 tracer method. Hence, when expressed in CO2-C equivalents, emissions of N2O and CH4 resulted in a 19% offset of the NEE sink activity. An attributedGHG balance has been calculated by subtracting fromthe NBP: (i)N2OandCH4 emissions occurring within the grassland plot and (ii) off-site emissions ofCO2 andCH4 as a result of the digestion and enteric fermentation by cattle of the cut herbage.The net exchanges by the grassland ecosystems of CO2 and of GHG were highly correlated with the difference in carbon used by grazing versus cutting, indicating that cut grasslands have a greater on-site sink activity than grazed grasslands. However, the net biome productivity was significantly correlated to the total C used by grazing and cutting, indicating that, on average, net carbon storage declines with herbage utilisation for herbivores", "keywords": ["Livestock", "330", "net ecosystem exchange", "NITROUS OXIDE", "native tallgrass prairie", "GAZ A EFFET DE SERRE", "Nitrogen cycle", "Carbon sequestration;", "12. Responsible consumption", "dioxide", "primary productivity", "METHANE", "CARBON SEQUESTRATION", "[SDV.EE]Life Sciences [q-bio]/Ecology", "NITROGEN CYCLE", "nitrogen cycle", "soil carbon", "2. Zero hunger", "nitrous oxide", "methane", "land management", "LIVESTOCK", "sequestration", "livestock grazing", "04 agricultural and veterinary sciences", "15. Life on land", "carbon sequestration", "nitrous-oxide emissions", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "Nitrous oxide;", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "agricultural soils", "environment", "Methane", "respiration"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2006.12.022"}, {"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.2006.12.022", "name": "item", "description": "10.1016/j.agee.2006.12.022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2006.12.022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-06-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2013.01.040", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-26T16:15:50Z", "type": "Journal Article", "created": "2013-02-20", "title": "Greenhouse Gas Emissions From A Wheat-Maize Double Cropping System With Different Nitrogen Fertilization Regimes", "description": "Here, we report on a two-years field experiment aimed at the quantification of the emissions of nitrous oxide (N2O) and methane (CH4) from the dominant wheat-maize double cropping system in North China Plain. The experiment had 6 different fertilization strategies, including a control treatment, recommended fertilization, with and without straw and manure applications, and nitrification inhibitor and slow release urea. Application of N fertilizer slightly decreased CH4 uptake by soil. Direct N2O emissions derived from recommended urea application was 0.39% of the annual urea-N input. Both straw and manure had relatively low N2O emissions factors. Slow release urea had a relatively high emission factor. Addition of nitrification inhibitor reduced N2O emission by 55%. We conclude that use of nitrification inhibitors is a promising strategy for N2O mitigation for the intensive wheat-maize double cropping systems.", "keywords": ["Greenhouse Effect", "China", "oxide emissions", "Nitrogen Dioxide", "organic-carbon", "n2o emissions", "Zea mays", "01 natural sciences", "field experiments", "12. Responsible consumption", "Soil", "calcareous soil", "Air Pollution", "Fertilizers", "Triticum", "0105 earth and related environmental sciences", "2. Zero hunger", "Air Pollutants", "north china plain", "Agriculture", "temperate forest soils", "04 agricultural and veterinary sciences", "15. Life on land", "13. Climate action", "nitrification inhibitor", "0401 agriculture", " forestry", " and fisheries", "agricultural soils", "3", "4-dimethylpyrazole phosphate dmpp", "Methane", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2013.01.040"}, {"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.2013.01.040", "name": "item", "description": "10.1016/j.envpol.2013.01.040", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2013.01.040"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-05-01T00:00:00Z"}}, {"id": "10.1016/j.jclepro.2018.06.210", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:16:18Z", "type": "Journal Article", "created": "2018-06-19", "title": "Modifying the settings of CTL timber harvesting machines to reduce fuel consumption and CO2 emissions", "description": "The objectives of this study were to examine the possibility of reducing the fuel consumption and CO2 emissions of harvesters during cut-to-length operations by applying various technical settings to the machine through the machine's own software package. The adjustment of machine settings had an effect on the fuel consumption per unit product (l m3) and can reduce the fuel consumption and CO2 emissions in cut-to-length harvesting operations. The main factor significantly affecting both fuel consumption and productivity was stem size. The study involved three cut-to-length machines operating in thinning with comparable stand environment and silvicultural prescriptions. The novelty of this work is in exploring the fuel saving potential of simple adjustments of machine settings in cut-to-length harvesting machines. Such adjustments have an impact on fuel efficiency and may reduce fuel consumption and CO2 emissions in cut-to-length harvesting operations. This work may result in a reduction of energy consumption and environmental pollution, thereby contributing to cleaner production. This study bridges the gaps between research, development and implementation: it offers practical solutions that may affect manufacturers as well as practitioners and entrepreneurs in the field. The outcome of this study may result in innovative technology development with less impact on the environment.", "keywords": ["hiilidioksidi", "puunkorjuu", "productivity", "Settings", "harvesterit", "ta1172", "CO2 emissions", "7. Clean energy", "12. Responsible consumption", "fuel consumption", "polttoaineet", "fuels", "Harvesting", "polttoaineenkulutus", "settings", "Productivity", "2. Zero hunger", "ta214", "carbon dioxide", "04 agricultural and veterinary sciences", "harvesting", "15. Life on land", "ta4112", "koneet", "harvesters", "620", "Fuel consumption", "13. Climate action", "Timber harvesting; fuel consumption; efficiency; savings", "CTL", "0401 agriculture", " forestry", " and fisheries", "p\u00e4\u00e4st\u00f6t", "hiilidioksidip\u00e4\u00e4st\u00f6t", "carbon dioxide emissions"]}, "links": [{"href": "https://doi.org/10.1016/j.jclepro.2018.06.210"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jclepro.2018.06.210", "name": "item", "description": "10.1016/j.jclepro.2018.06.210", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jclepro.2018.06.210"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2014.05.065", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:16:32Z", "type": "Journal Article", "created": "2014-06-05", "title": "Management Of Irrigation Frequency And Nitrogen Fertilization To Mitigate Ghg And No Emissions From Drip-Fertigated Crops", "description": "Drip irrigation combined with split application of fertilizer nitrogen (N) dissolved in the irrigation water (i.e. drip fertigation) is commonly considered best management practice for water and nutrient efficiency. As a consequence, its use is becoming widespread. Some of the main factors (water-filled pore space, NH4(+) and NO3(-)) regulating the emissions of greenhouse gases (i.e. N2O, CO2 and CH4) and NO from agroecosystems can easily be manipulated by drip fertigation without yield penalties. In this study, we tested management options to reduce these emissions in a field experiment with a melon (Cucumis melo L.) crop. Treatments included drip irrigation frequency (weekly/daily) and type of N fertilizer (urea/calcium nitrate) applied by fertigation. Crop yield, environmental parameters, soil mineral N concentrations and fluxes of N2O, NO, CH4 and CO2 were measured during 85 days. Fertigation with urea instead of calcium nitrate increased N2O and NO emissions by a factor of 2.4 and 2.9, respectively (P<0.005). Daily irrigation reduced NO emissions by 42% (P<0.005) but increased CO2 emissions by 21% (P<0.05) compared with weekly irrigation. We found no relation between irrigation frequency and N2O emissions. Based on yield-scaled Global Warming Potential as well as NO cumulative emissions, we conclude that weekly fertigation with a NO3(-)-based fertilizer is the best option to combine agronomic productivity with environmental sustainability. Our study shows that adequate management of drip fertigation, while contributing to the attainment of water and food security, may provide an opportunity for climate change mitigation.", "keywords": ["Greenhouse Effect", "0106 biological sciences", "oxide emissions", "Agricultural Irrigation", "Climate Change", "water", "Nitrous Oxide", "n2o emissions", "nitric-oxide", "treated pig slurries", "01 natural sciences", "soil", "12. Responsible consumption", "Air Pollution", "Fertilizers", "2. Zero hunger", "Air Pollutants", "carbon", "Agricultura", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "field", "6. Clean water", "mediterranean climate", "13. Climate action", "potato", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2014.05.065"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2014.05.065", "name": "item", "description": "10.1016/j.scitotenv.2014.05.065", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2014.05.065"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-08-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2020.138476", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:16:35Z", "type": "Journal Article", "created": "2020-04-10", "title": "Can flooding-induced greenhouse gas emissions be mitigated by trait-based plant species choice?", "description": "Intensively managed grasslands are large sources of the potent greenhouse gas nitrous oxide (N2O) and important regulators of methane (CH4) consumption and production. The predicted increase in flooding frequency and severity due to climate change could increase N2O emissions and shift grasslands from a net CH4 sink to a source. Therefore, effective management strategies are critical for mitigating greenhouse gas emissions from flood-prone grasslands. We tested how repeated flooding affected the N2O and CH4 emissions from 11 different plant communities (Festuca arundinacea, Lolium perenne, Poa trivialis, and Trifolium repens in monoculture, 2- and 4-species mixtures), using intact soil cores from an 18-month old grassland field experiment in a 4-month greenhouse experiment. To elucidate potential underlying mechanisms, we related plant functional traits to cumulative N2O and CH4 emissions. We hypothesized that traits related with fast nitrogen uptake and growth would lower N2O and CH4 emissions in ambient (non-flooded) conditions, and that traits related to tissue toughness would lower N2O and CH4 emissions in flooded conditions. We found that flooding increased cumulative N2O emissions by 97 fold and cumulative CH4 emissions by 1.6 fold on average. Plant community composition mediated the flood-induced increase in N2O emissions. In flooded conditions, increasing abundance of the grass F. arundinacea was related with lower N2O emissions; whereas increases in abundance of the legume T. repens resulted in higher N2O emissions. In non-flooded conditions, N2O emissions were not clearly mediated by plant traits related with nitrogen uptake or biomass production. In flooded conditions, plant communities with high root carbon to nitrogen ratio were related with lower cumulative N2O emissions, and a lower global warming potential (CO2 equivalent of N2O and CH4). We conclude that plant functional traits related to slower decomposition and nitrogen mineralization could play a significant role in mitigating N2O emissions in flooded grasslands.", "keywords": ["0106 biological sciences", "2. Zero hunger", "Methane emissions", "Plan_S-Compliant-TA", "national", "Nitrous Oxide", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "01 natural sciences", "Floods", "12. Responsible consumption", "Nitrous oxide emissions", "Greenhouse Gases", "Soil", "Flooding", "Intensively managed grassland", "13. Climate action", "11. Sustainability", "Plant functional traits", "SDG 13 - Climate Action", "0401 agriculture", " forestry", " and fisheries", "Extreme weather event", "Methane"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2020.138476"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2020.138476", "name": "item", "description": "10.1016/j.scitotenv.2020.138476", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2020.138476"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2006.09.015", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-07-26T16:16:40Z", "type": "Journal Article", "created": "2006-10-20", "title": "Do Earthworms Increase N2o Emissions In Ploughed Grassland?", "description": "Abstract Earthworm activity has been reported to lead to increased production of the greenhouse gas nitrous oxide (N2O). This is due to emissions from worms themselves, their casts and drilosphere, as well as to general changes in soil structure. However, it remains to be determined how important this effect is on N2O fluxes from agricultural systems under realistic conditions in terms of earthworm density, soil moisture, tillage activity and residue loads. We quantified the effect of earthworm presence on N2O emissions from a pasture after simulated ploughing of the sod (\u2018grassland renovation\u2019) for different soil moisture contents during a 62-day mesocosm study. Sod (with associated soil) and topsoil were separately collected from a loamy Typic Fluvaquent. Treatments included low (L), medium (M) and high (H) moisture content, in combination with: only soil (S); soil+incorporated sod (SG); soil+incorporated sod+the anecic earthworm Aporrectodea longa (SGE). Nitrous oxide and carbon dioxide (CO2) fluxes were measured for 62\u00a0d. At the end of the incubation period, we determined N2O production under water-saturated conditions, potential denitrification and potential mineralization of the soil after removing the earthworms. Cumulative N2O and CO2 fluxes over 62\u00a0d from incorporated sod were highest for treatment HSGE (973\u00a0\u03bcg N2O-N and 302\u00a0mg CO2-C\u00a0kg\u22121 soil) and lowest for LSG (64\u00a0\u03bcg N2O-N and 188\u00a0mg CO2-C\u00a0kg\u22121 soil). Both cumulative fluxes were significantly different for soil moisture (p", "keywords": ["2. Zero hunger", "denitrification", "casts", "carbon", "permanent pastures", "04 agricultural and veterinary sciences", "15. Life on land", "fluxes", "6. Clean water", "nitrous-oxide emissions", "13. Climate action", "soil organic-matter", "community", "0401 agriculture", " forestry", " and fisheries", "denitrifying bacteria", "management"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2006.09.015"}, {"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.2006.09.015", "name": "item", "description": "10.1016/j.soilbio.2006.09.015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2006.09.015"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-02-01T00:00:00Z"}}, {"id": "10.1016/j.watres.2025.123242", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-07-26T16:17:06Z", "type": "Journal Article", "created": "2025-02-03", "title": "How do varying nitrogen fertilization rates affect crop yields and riverine N2O emissions? A hybrid modeling study", "description": "Headwater streams in agricultural areas constitute significant sources of nitrous oxide (N2O) due to nutrient enrichment; however, their emissions are often overlooked in current environmental impact assessments. This scarcity highlights the importance of developing advanced decision tools to evaluate these contributions and create effective mitigation strategies. Our study establishes the first integrated modeling framework that combines a process-based model SWAT+ with a linear mixed model (LMM) to predict N2O emissions from a headwater agricultural river system in Belgium under diverse climate change and fertilization scenarios. In particular, the calibrated and validated SWAT+ model was used to simulate streamflow, nutrient transport, and crop yields under these scenarios, from which, together with biochemical data collected from sampling campaigns, riverine N2O emissions were predicted via LMM. Our results revealed hydrologically driven patterns in riverine N2O emissions, with peak emissions in winter and spring, driven by precipitations enhancing shallow subsurface flows, carrying leached nutrients from fields to the river, and fueling N2O emissions. These phenomena were intensified under climate change scenarios, especially during combined wetter and hotter winters and springs, which elevated headwater N2O emissions by 40 %. Moreover, when coupling these conditions with a 20 % increase in fertilizer rates, riverine N2O emissions would be boosted by 83 %. These findings underscore the importance of integrating land-surface and river processes, to effectively quantify the feedback loop between river nutrient enrichment and climate change under the influence of agricultural practices, and to support comprehensive mitigation strategies under the warming climate.", "keywords": ["Agriculture and Food Sciences", "Hybrid modeling", "Riverine nitrous oxide dynamics", "PROTOCOL", "CLIMATE-CHANGE", "IMPACT", "Agricultural GHG impact", "Climate change", "STREAMS", "PERFORMANCE", "Headwater streams", "OXIDE EMISSIONS"]}, "links": [{"href": "https://doi.org/10.1016/j.watres.2025.123242"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.watres.2025.123242", "name": "item", "description": "10.1016/j.watres.2025.123242", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.watres.2025.123242"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-05-01T00:00:00Z"}}, {"id": "10.1029/2019gb006393", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:17:24Z", "type": "Journal Article", "created": "2020-02-07", "title": "Sources of Uncertainty in Regional and Global Terrestrial CO 2 Exchange Estimates", "description": "

The Global Carbon Budget 2018 (GCB2018) estimated by the atmospheric CO growth rate, fossil fuel emissions, and modeled (bottom\uffe2\uff80\uff90up) land and ocean fluxes cannot be fully closed, leading to a \uffe2\uff80\uff9cbudget imbalance,\uffe2\uff80\uff9d highlighting uncertainties in GCB components. However, no systematic analysis has been performed on which regions or processes contribute to this term. To obtain deeper insight on the sources of uncertainty in global and regional carbon budgets, we analyzed differences in Net Biome Productivity (NBP) for all possible combinations of bottom\uffe2\uff80\uff90up and top\uffe2\uff80\uff90down data sets in GCB2018: (i) 16 dynamic global vegetation models (DGVMs), and (ii) 5 atmospheric inversions that match the atmospheric CO growth rate. We find that the global mismatch between the two ensembles matches well the GCB2018 budget imbalance, with Brazil, Southeast Asia, and Oceania as the largest contributors. Differences between DGVMs dominate global mismatches, while at regional scale differences between inversions contribute the most to uncertainty. At both global and regional scales, disagreement on NBP interannual variability between the two approaches explains a large fraction of differences. We attribute this mismatch to distinct responses to El\uffc2\uffa0Ni\uffc3\uffb1o\uffe2\uff80\uff93Southern Oscillation variability between DGVMs and inversions and to uncertainties in land use change emissions, especially in South America and Southeast Asia. We identify key needs to reduce uncertainty in carbon budgets: reducing uncertainty in atmospheric inversions (e.g., through more observations in the tropics) and in land use change fluxes, including more land use processes and evaluating land use transitions (e.g., using high\uffe2\uff80\uff90resolution remote\uffe2\uff80\uff90sensing), and, finally, improving tropical hydroecological processes and fire representation within DGVMs.

", "keywords": ["[SDE] Environmental Sciences", "FLUXES", "550", "BURNED AREA PRODUCT", "atmospheric inversions", "01 natural sciences", "Environnement et pollution", "DATA ASSIMILATION", "Ph\u00e9nom\u00e8nes atmosph\u00e9riques", "PLANT FUNCTIONAL TYPES", "global carbon budget", "carbon cycle", "ATMOSPHERIC CO2", "0105 earth and related environmental sciences", "LAND-COVER CHANGE", "FOSSIL-FUEL", "VEGETATION MODEL ORCHIDEE", "15. Life on land", "ddc:910", "CARBON-DIOXIDE EMISSIONS", "13. Climate action", "[SDE]Environmental Sciences", "dynamic global vegetation models", "contr\u00f4le de la pollution", "Technologie de l'environnement", "INCORPORATING SPITFIRE"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2019GB006393"}, {"href": "https://doi.org/10.1029/2019gb006393"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Biogeochemical%20Cycles", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2019gb006393", "name": "item", "description": "10.1029/2019gb006393", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2019gb006393"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-02-01T00:00:00Z"}}, {"id": "10.1038/s41467-019-12976-y", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:17:31Z", "type": "Journal Article", "created": "2019-11-01", "title": "Seasonal dynamics of stem N2O exchange follow the physiological activity of boreal trees", "description": "Abstract

The role of trees in the nitrous oxide (N2O) balance of boreal forests has been neglected despite evidence suggesting their substantial contribution. We measured seasonal changes in N2O fluxes from soil and stems of boreal trees in Finland, showing clear seasonality in stem N2O flux following tree physiological activity, particularly processes of CO2 uptake and release. Stem N2O emissions peak during\uffc2\uffa0the vegetation season, decrease rapidly in October, and remain low but significant to the annual totals during winter dormancy. Trees growing on dry soils even turn to consumption of\uffc2\uffa0N2O from the atmosphere during dormancy, thereby reducing their overall N2O emissions. At an\uffc2\uffa0annual scale, pine, spruce and birch are net N2O sources, with spruce being the strongest emitter. Boreal trees thus markedly contribute to the seasonal dynamics of ecosystem N2O exchange, and their species-specific contribution should be included into forest emission inventories.

", "keywords": ["EDDY COVARIANCE", "Science", "Nitrous Oxide", "NITROUS-OXIDE EMISSIONS", "Article", "CO2 EXCHANGE", "Trees", "CARBON-DIOXIDE", "Soil", "METHANE", "Taiga", "CH4 EMISSIONS", "SCOTS PINE", "Ecosystem", "Finland", "Plant Stems", "Atmosphere", "Q", "Forestry", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "FOREST", "Environmental sciences", "SOIL", "PLANT-GROWTH", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Seasons", "Methane"]}, "links": [{"href": "https://www.nature.com/articles/s41467-019-12976-y.pdf"}, {"href": "https://doi.org/10.1038/s41467-019-12976-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41467-019-12976-y", "name": "item", "description": "10.1038/s41467-019-12976-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-019-12976-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-01T00:00:00Z"}}, {"id": "10.1111/gcb.14644", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:18:34Z", "type": "Journal Article", "created": "2019-04-07", "title": "A critical review of the impacts of cover crops on nitrogen leaching, net greenhouse gas balance and crop productivity", "description": "Abstract

Cover crops play an increasingly important role in improving soil quality, reducing agricultural inputs and improving environmental sustainability. The main objectives of this critical global review and systematic analysis were to assess cover crop practices in the context of their impacts on nitrogen leaching, net greenhouse gas balances (NGHGB) and crop productivity. Only studies that investigated the impacts of cover crops and measured one or a combination of nitrogen leaching, soil organic carbon (SOC), nitrous oxide (N2O), grain yield and nitrogen in grain of primary crop, and had a control treatment were included in the analysis. Long\uffe2\uff80\uff90term studies were uncommon, with most data coming from studies lasting 2\uffe2\uff80\uff933\uffc2\uffa0years. The literature search resulted in 106 studies carried out at 372 sites and covering different countries, climatic zones and management. Our analysis demonstrates that cover crops significantly (p\uffc2\uffa0<\uffc2\uffa00.001) decreased N leaching and significantly (p\uffc2\uffa0<\uffc2\uffa00.001) increased SOC sequestration without having significant (p\uffc2\uffa0>\uffc2\uffa00.05) effects on direct N2O emissions. Cover crops could mitigate the NGHGB by 2.06\uffc2\uffa0\uffc2\uffb1\uffc2\uffa02.10\uffc2\uffa0Mg CO2\uffe2\uff80\uff90eq\uffc2\uffa0ha\uffe2\uff88\uff921\uffc2\uffa0year\uffe2\uff88\uff921. One of the potential disadvantages of cover crops identified was the reduction in grain yield of the primary crop by \uffe2\uff89\uff884%, compared to the control treatment. This drawback could be avoided by selecting mixed cover crops with a range of legumes and non\uffe2\uff80\uff90legumes, which increased the yield by \uffe2\uff89\uff8813%. These advantages of cover crops justify their widespread adoption. However, management practices in relation to cover crops will need to be adapted to specific soil, management and regional climatic conditions.

", "keywords": ["Crops", " Agricultural", "net greenhouse gas balance", "330", "Supplementary Data", "Nitrogen", "QH301 Biology", "Supplementary data available", "12. Responsible consumption", "Nitrous oxide emissions", "QH301", "Greenhouse Gases", "Soil", "N content", "nitrate", "C sequestration", "N leaching", "Environmental Chemistry", "General Environmental Science", "NE/M019691/1", "2. Zero hunger", "Global and Planetary Change", "Catch crop", "Ecology", "Soil organic carbon", "green manure", "Natural Environment Research Council (NERC)", "Research Review", "Agriculture", "04 agricultural and veterinary sciences", "15. Life on land", "yield", "Crop Production", "13. Climate action", "N in grain", "Biotechnology and Biological Sciences Research Council (BBSRC)", "Cover crop", "0401 agriculture", " forestry", " and fisheries", "BB/N013484/1", "BB/N013468/1"]}, "links": [{"href": "https://doi.org/10.1111/gcb.14644"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.14644", "name": "item", "description": "10.1111/gcb.14644", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.14644"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-13T00:00:00Z"}}, {"id": "10.1111/gcb.16042", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:18:35Z", "type": "Journal Article", "created": "2021-12-19", "title": "Stimulation of ammonia oxidizer and denitrifier abundances by nitrogen loading: Poor predictability for increased soil N2O emission", "description": "Abstract

Unprecedented nitrogen (N) inputs into terrestrial ecosystems have profoundly altered soil N cycling. Ammonia oxidizers and denitrifiers are the main producers of nitrous oxide (N2O), but it remains unclear how ammonia oxidizer and denitrifier abundances will respond to N loading and whether their responses can predict N\uffe2\uff80\uff90induced changes in soil N2O emission. By synthesizing 101 field studies worldwide, we showed that N loading significantly increased ammonia oxidizer abundance by 107% and denitrifier abundance by 45%. The increases in both ammonia oxidizer and denitrifier abundances were primarily explained by N loading form, and more specifically, organic N loading had stronger effects on their abundances than mineral N loading. Nitrogen loading increased soil N2O emission by 261%, whereas there was no clear relationship between changes in soil N2O emission and shifts in ammonia oxidizer and denitrifier abundances. Our field\uffe2\uff80\uff90based results challenge the laboratory\uffe2\uff80\uff90based hypothesis that increased ammonia oxidizer and denitrifier abundances by N loading would directly cause higher soil N2O emission. Instead, key abiotic factors (mean annual precipitation, soil pH, soil C:N ratio, and ecosystem type) explained N\uffe2\uff80\uff90induced changes in soil N2O emission. Altogether, these findings highlight the need for considering the roles of key abiotic factors in regulating soil N transformations under N loading to better understand the microbially mediated soil N2O emission. bi-culture > wheat) and N2O-N emissions and yield during corn growth (vetch, bi-culture > wheat). Fertilization increased soil inorganic N, gaseous N loss, N leaching, and yield in the organic vetch and conventional wheat systems. Fertilizer scheme affected the magnitude of growing season N2O-N loss in the organic vetch system (organic N > fertilizer N-credit) and the timing of loss (organic N delayed N2O-N loss vs. urea) and NO3-N leaching (urea >> organic N) in the conventional wheat system, but had no effect on yield. Cover crop selection and N fertilization techniques can reduce N leaching and greenhouse gas emissions without sacrificing yield, thereby enhancing N conservation in both organic and conventional conservation agriculture systems.", "keywords": ["2. Zero hunger", "nitrous oxide emissions", "Plant culture", "Plant Science", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "SB1-1110", "conservation agriculture", "ammonia volatilization", "13. Climate action", "nitrate leaching", "0401 agriculture", " forestry", " and fisheries", "cover crops"]}, "links": [{"href": "https://doi.org/10.3389/fpls.2017.02260"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2017.02260", "name": "item", "description": "10.3389/fpls.2017.02260", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2017.02260"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-22T00:00:00Z"}}, {"id": "10.3390/agronomy11071374", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:20:40Z", "type": "Journal Article", "created": "2021-07-07", "title": "The Potential of Digestate and the Liquid Fraction of Digestate as Chemical Fertiliser Substitutes under the RENURE Criteria", "description": "

This study assessed how digestate and the liquid fraction (LF) of digestate would perform as candidate RENURE fertilisers (recovered nitrogen from manure) in nitrate vulnerable zones under the proposed criteria of the Joint Research Centre, namely, (i) a mineral nitrogen to total nitrogen ratio \uffe2\uff89\uffa5 90% (Nmin:TN \uffe2\uff89\uffa5 90%) or a total organic carbon to TN ratio \uffe2\uff89\uffa4 3 (TOC:TN \uffe2\uff89\uffa4 3); (ii) limits of \uffe2\uff89\uffa4300 copper (Cu) mg kg\uffe2\uff88\uff921 and \uffe2\uff89\uffa4800 Zinc (Zn) mg kg\uffe2\uff88\uff921. These criteria were applied to unpublished data (n = 2622) on digestate compositional properties, further amended with data from the literature (n = 180); digestate analysis from seven full-scale biogas facilities (n = 14); and biogas industry stakeholders (n = 23). The results showed that Cu and Zn mostly met the criteria, with compliance rates of 94.7% (of 1035 entries) and 95.0% (of 1038 entries), respectively. Just above 5% (of 1856 entries) met the Nmin/TN \uffe2\uff89\uffa5 90% criterion, while 36% (of 1583 entries) met the TOC/TN \uffe2\uff89\uffa4 3 criterion, while total compliance was 32% (of 1893 entries). When targeting the LF, total compliance increased noticeably, between 43 and 58% depending on DM range, indicating that LFs are better suited RENURE candidate fertilisers than unseparated digestate.

", "keywords": ["Agriculture and Food Sciences", "AMENDMENT PROPERTIES", "RENURE", "liquid fraction", "SEWAGE-SLUDGE", "NITROUS-OXIDE EMISSIONS", "ANAEROBIC CO-DIGESTION", "SAFEMANURE", "7. Clean energy", "NUTRIENT RECOVERY PROCESSES", "NUE", "USE EFFICIENCY", "BIOGAS PRODUCTION", "ORGANIC FRACTION", "S", "circular economy", "Agriculture", "04 agricultural and veterinary sciences", "6. Clean water", "Nitrates Directive", "NFRV", "MINERAL FERTILIZERS", "Earth and Environmental Sciences", "digestate", "manure", "CATTLE SLURRY", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/7/1374/pdf"}, {"href": "https://doi.org/10.3390/agronomy11071374"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11071374", "name": "item", "description": "10.3390/agronomy11071374", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11071374"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-07T00:00:00Z"}}, {"id": "10.3390/app12010341", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:20:42Z", "type": "Journal Article", "created": "2021-12-31", "title": "Replacing Mineral Fertilisers for Bio-Based Fertilisers in Potato Growing on Sandy Soil: A Case Study", "description": "

The refinement level of bio-based fertilisers (BBFs) can influence environmental and agronomic performance. This study analyses the environmental and agronomic effect of different BBFs on potato growing in sandy soil. A less refined product (liquid fraction of digestate (LFD)), two refined products (ammonium sulphate (AS) and potassium concentrate (KC)), and mineral fertilizer (MF) are compared by conducting: (i) a nitrogen (N) incubation experiment where the N release rate of the BBFs is determined, (ii) a greenhouse gas emission experiment where N2O, CO2, and CH4 emissions after BBF application are measured, (iii) a pot experiment where the nutrient fertiliser replacement value (NFRV) of the BBF is calculated, and (iv) a full-scale field trial where the potato quality and quantity and the remaining N residues in the soil after harvest are assessed. The N release rate and the NFRV of AS (142 \uffc2\uffb1 19% and 1.13, respectively) was higher compared with the LFD (113 \uffc2\uffb1 24% and 1.04) and MF (105 \uffc2\uffb1 16% and 1.00). Lowest N2O emissions were observed after the application of the less refined product (0.02 \uffc2\uffb1 0.01 per 100 g N applied) and highest for MF urea (0.11 \uffc2\uffb1 0.02 per 100 g N applied). In the full-scale field trial, no significant difference in potato yield was observed in the plots that received manure in combination with BBF or MF. This study showed that all three BBFs can safely be used in potato growing on sandy soils. However, the adoption of BBFs can be stimulated by (i) solving the practical issues that occurred during the application of LFD, (ii) making sure BBFs are on the list of RENURE materials so they can legally replace mineral fertiliser, and (iii) reducing the surplus of slurry manure to stimulate the use and fair pricing of BBF products.

", "keywords": ["Agriculture and Food Sciences", "Technology", "QH301-705.5", "QC1-999", "NITROUS-OXIDE EMISSIONS", "environmental impact", "Environmental impact", "agricultural circularity", "Biology (General)", "agricultural circularity; sustainable agriculture; environmental impact; manure processing; GHG emissions; fertiliser replacement value", "QD1-999", "manure processing", "fertiliser replacement value", "2. Zero hunger", "Fertiliser replacement value", "MANURE", "Agricultural circularity", "T", "Physics", "Sustainable agriculture", "04 agricultural and veterinary sciences", "Engineering (General). Civil engineering (General)", "6. Clean water", "sustainable agriculture", "GHG emissions", "Chemistry", "13. Climate action", "Earth and Environmental Sciences", "RESIDUES", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "Manure processing", "NITRATE"]}, "links": [{"href": "http://www.mdpi.com/2076-3417/12/1/341/pdf"}, {"href": "https://www.mdpi.com/2076-3417/12/1/341/pdf"}, {"href": "https://doi.org/10.3390/app12010341"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/app12010341", "name": "item", "description": "10.3390/app12010341", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/app12010341"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-30T00:00:00Z"}}, {"id": "10.5194/bg-16-3319-2019", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:21:38Z", "type": "Journal Article", "created": "2019-09-04", "title": "Technical note: Interferences of volatile organic compounds (VOCs) on methane concentration measurements", "description": "

Abstract. Studies that quantify plant methane (CH4) emission rely on the accurate measurement of small changes in the mixing ratio of CH4 that coincide with much larger changes in the mixing ratio of volatile organic compounds (VOCs). Here, we assessed whether 11 commonly occurring VOCs (e.g. methanol, \uffce\uffb1- and \uffce\uffb2-pinene, \uffce\uff943-carene) interfered with the quantitation of CH4 by five laser-absorption spectroscopy and Fourier-transformed infrared spectroscopy (FTIR) based CH4 analysers, and quantified the interference of seven compounds on three instruments. Our results showed minimal interference with laser-based analysers and underlined the importance of identifying and compensating for interferences with FTIR instruments. When VOCs were not included in the spectral library, they exerted a strong bias on FTIR-based instruments (64\uffe2\uff80\uff931800\uffe2\uff80\uff89ppbv apparent CH4\uffe2\uff80\uff89ppmv\uffe2\uff88\uff921 VOC). Minor (0.7\uffe2\uff80\uff93126\uffe2\uff80\uff89ppbv\uffe2\uff80\uff89ppmv\uffe2\uff88\uff921) interference with FTIR-based measurements were also detected when the spectrum of the interfering VOC was included in the library. In contrast, we detected only minor (<20\uffe2\uff80\uff89ppbv\uffe2\uff80\uff89ppmv\uffe2\uff88\uff921) and transient (<\uffe2\uff80\uff891\uffe2\uff80\uff89min) VOC interferences on laser-absorption spectroscopy-based analysers. Overall, our results demonstrate that VOC interferences have only minor effects on CH4 flux measurements in soil chambers, but may severely impact stem and shoot flux measurements. Laser-absorption-based instruments are better suited for quantifying CH4 fluxes from plant leaves and stems than FTIR-based instruments; however, significant interferences in shoot chamber measurements could not be excluded for any of the tested instruments. Our results furthermore showed that FTIR can precisely quantify VOC mixing ratios and could therefore provide a method complementary to proton-transfer-reaction mass spectrometry (PTR-MS).

", "keywords": ["QE1-996.5", "CH4", "Ecology", "NITROUS-OXIDE EMISSIONS", "Geology", "04 agricultural and veterinary sciences", "FOREST", "01 natural sciences", "Environmental sciences", "CARBON", "LIGHT", "Life", "MONOTERPENE EMISSIONS", "DEPENDENCE", "13. Climate action", "Environmental biotechnology", "QH501-531", "11. Sustainability", "PATTERNS", "0401 agriculture", " forestry", " and fisheries", "SCOTS PINE", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/3319/2019/bg-16-3319-2019.pdf"}, {"href": "https://doi.org/10.5194/bg-16-3319-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-16-3319-2019", "name": "item", "description": "10.5194/bg-16-3319-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-16-3319-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-04T00:00:00Z"}}, {"id": "10.5194/essd-10-405-2018", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:21:46Z", "type": "Journal Article", "created": "2018-03-12", "title": "Global Carbon Budget 2017", "description": "

Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere \u2013 the global carbon budget \u2013 is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as \u00b11\u03c3. For the last decade available (2007\u20132016), EFF was 9.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, ELUC 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM 4.7\u202f\u00b1\u202f0.1\u202fGtC\u202fyr\u22121, SOCEAN 2.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND 3.0\u202f\u00b1\u202f0.8\u202fGtC\u202fyr\u22121, with a budget imbalance BIM of 0.6\u202fGtC\u202fyr\u22121 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121. Also for 2016, ELUC was 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM was 6.1\u202f\u00b1\u202f0.2\u202fGtC\u202fyr\u22121, SOCEAN was 2.6\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND was 2.7\u202f\u00b1\u202f1.0\u202fGtC\u202fyr\u22121, with a small BIM of \u22120.3\u202fGtC. GATM continued to be higher in 2016 compared to the past decade (2007\u20132016), reflecting in part the high fossil emissions and the small SLAND consistent with El Ni\u00f1o conditions. The global atmospheric CO2 concentration reached 402.8\u202f\u00b1\u202f0.1\u202fppm averaged over 2016. For 2017, preliminary data for the first 6\u20139\u00a0months indicate a renewed growth in EFF of +2.0\u202f% (range of 0.8 to 3.0\u202f%) based on national emissions projections for China, USA, and India, and projections of gross domestic product (GDP) corrected for recent changes in the carbon intensity of the economy for the rest of the world. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Qu\u00e9r\u00e9 et al., 2016, 2015b, a, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017 (GCP, 2017).

", "keywords": ["ENVIRONMENT SIMULATOR JULES", "550", "530 Physics", "[PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]", "MIXED-LAYER SCHEME", "INTERNATIONAL-TRADE", "7. Clean energy", "01 natural sciences", "333", "12. Responsible consumption", "FOSSIL-FUEL COMBUSTION", "ANTHROPOGENIC CO2 UPTAKE", "11. Sustainability", "SDG 13 - Climate Action", "Life Science", "GE1-350", "SDG 14 - Life Below Water", "ATMOSPHERIC CO2", "DIOXIDE EMISSIONS", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "LAND-COVER CHANGE", "QE1-996.5", "info:eu-repo/classification/ddc/550", "EARTH SYSTEM MODEL", "ddc:550", "VEGETATION MODEL", "Geology", "15. Life on land", "Environmental sciences", "Earth sciences", "13. Climate action", "8. Economic growth", "General Earth and Planetary Sciences"]}, "links": [{"href": "https://ueaeprints.uea.ac.uk/id/eprint/66578/1/Published_manuscript.pdf"}, {"href": "http://oceanrep.geomar.de/42391/1/essd-10-405-2018.pdf"}, {"href": "https://boris.unibe.ch/116576/1/lequere18essd.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/15161/1/essd-10-405-2018.pdf"}, {"href": "https://essd.copernicus.org/articles/10/405/2018/essd-10-405-2018.pdf"}, {"href": "https://doi.org/10.5194/essd-10-405-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-10-405-2018", "name": "item", "description": "10.5194/essd-10-405-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-10-405-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-12T00:00:00Z"}}, {"id": "3015301574", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:26:03Z", "type": "Journal Article", "created": "2020-04-10", "title": "Can flooding-induced greenhouse gas emissions be mitigated by trait-based plant species choice?", "description": "Intensively managed grasslands are large sources of the potent greenhouse gas nitrous oxide (N2O) and important regulators of methane (CH4) consumption and production. The predicted increase in flooding frequency and severity due to climate change could increase N2O emissions and shift grasslands from a net CH4 sink to a source. Therefore, effective management strategies are critical for mitigating greenhouse gas emissions from flood-prone grasslands. We tested how repeated flooding affected the N2O and CH4 emissions from 11 different plant communities (Festuca arundinacea, Lolium perenne, Poa trivialis, and Trifolium repens in monoculture, 2- and 4-species mixtures), using intact soil cores from an 18-month old grassland field experiment in a 4-month greenhouse experiment. To elucidate potential underlying mechanisms, we related plant functional traits to cumulative N2O and CH4 emissions. We hypothesized that traits related with fast nitrogen uptake and growth would lower N2O and CH4 emissions in ambient (non-flooded) conditions, and that traits related to tissue toughness would lower N2O and CH4 emissions in flooded conditions. We found that flooding increased cumulative N2O emissions by 97 fold and cumulative CH4 emissions by 1.6 fold on average. Plant community composition mediated the flood-induced increase in N2O emissions. In flooded conditions, increasing abundance of the grass F. arundinacea was related with lower N2O emissions; whereas increases in abundance of the legume T. repens resulted in higher N2O emissions. In non-flooded conditions, N2O emissions were not clearly mediated by plant traits related with nitrogen uptake or biomass production. In flooded conditions, plant communities with high root carbon to nitrogen ratio were related with lower cumulative N2O emissions, and a lower global warming potential (CO2 equivalent of N2O and CH4). We conclude that plant functional traits related to slower decomposition and nitrogen mineralization could play a significant role in mitigating N2O emissions in flooded grasslands.", "keywords": ["2. Zero hunger", "0106 biological sciences", "Methane emissions", "Plan_S-Compliant-TA", "national", "Nitrous Oxide", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "01 natural sciences", "Floods", "12. Responsible consumption", "Nitrous oxide emissions", "Greenhouse Gases", "Soil", "Flooding", "Intensively managed grassland", "13. Climate action", "11. Sustainability", "Plant functional traits", "SDG 13 - Climate Action", "0401 agriculture", " forestry", " and fisheries", "Extreme weather event", "Methane"]}, "links": [{"href": "https://doi.org/3015301574"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3015301574", "name": "item", "description": "3015301574", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3015301574"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-01T00:00:00Z"}}, {"id": "10261/356392", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-07-26T16:24:39Z", "type": "Journal Article", "created": "2021-12-19", "title": "Stimulation of ammonia oxidizer and denitrifier abundances by nitrogen loading: Poor predictability for increased soil N2O emission", "description": "Abstract

Unprecedented nitrogen (N) inputs into terrestrial ecosystems have profoundly altered soil N cycling. Ammonia oxidizers and denitrifiers are the main producers of nitrous oxide (N2O), but it remains unclear how ammonia oxidizer and denitrifier abundances will respond to N loading and whether their responses can predict N\uffe2\uff80\uff90induced changes in soil N2O emission. By synthesizing 101 field studies worldwide, we showed that N loading significantly increased ammonia oxidizer abundance by 107% and denitrifier abundance by 45%. The increases in both ammonia oxidizer and denitrifier abundances were primarily explained by N loading form, and more specifically, organic N loading had stronger effects on their abundances than mineral N loading. Nitrogen loading increased soil N2O emission by 261%, whereas there was no clear relationship between changes in soil N2O emission and shifts in ammonia oxidizer and denitrifier abundances. Our field\uffe2\uff80\uff90based results challenge the laboratory\uffe2\uff80\uff90based hypothesis that increased ammonia oxidizer and denitrifier abundances by N loading would directly cause higher soil N2O emission. Instead, key abiotic factors (mean annual precipitation, soil pH, soil C:N ratio, and ecosystem type) explained N\uffe2\uff80\uff90induced changes in soil N2O emission. Altogether, these findings highlight the need for considering the roles of key abiotic factors in regulating soil N transformations under N loading to better understand the microbially mediated soil N2O emission.

Abstract. Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere \u2013 the global carbon budget \u2013 is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on land-cover change data and bookkeeping models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as \u00b11\u03c3. For the last decade available (2007\u20132016), EFF was 9.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, ELUC 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM 4.7\u202f\u00b1\u202f0.1\u202fGtC\u202fyr\u22121, SOCEAN 2.4\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND 3.0\u202f\u00b1\u202f0.8\u202fGtC\u202fyr\u22121, with a budget imbalance BIM of 0.6\u202fGtC\u202fyr\u22121 indicating overestimated emissions and/or underestimated sinks. For year 2016 alone, the growth in EFF was approximately zero and emissions remained at 9.9\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121. Also for 2016, ELUC was 1.3\u202f\u00b1\u202f0.7\u202fGtC\u202fyr\u22121, GATM was 6.1\u202f\u00b1\u202f0.2\u202fGtC\u202fyr\u22121, SOCEAN was 2.6\u202f\u00b1\u202f0.5\u202fGtC\u202fyr\u22121, and SLAND was 2.7\u202f\u00b1\u202f1.0\u202fGtC\u202fyr\u22121, with a small BIM of \u22120.3\u202fGtC. GATM continued to be higher in 2016 compared to the past decade (2007\u20132016), reflecting in part the high fossil emissions and the small SLAND consistent with El Ni\u00f1o conditions. The global atmospheric CO2 concentration reached 402.8\u202f\u00b1\u202f0.1\u202fppm averaged over 2016. For 2017, preliminary data for the first 6\u20139\u00a0months indicate a renewed growth in EFF of +2.0\u202f% (range of 0.8 to 3.0\u202f%) based on national emissions projections for China, USA, and India, and projections of gross domestic product (GDP) corrected for recent changes in the carbon intensity of the economy for the rest of the world. This living data update documents changes in the methods and data sets used in this new global carbon budget compared with previous publications of this data set (Le Qu\u00e9r\u00e9 et al., 2016, 2015b, a, 2014, 2013). All results presented here can be downloaded from https://doi.org/10.18160/GCP-2017 (GCP, 2017).

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The predicted increase in flooding frequency and severity due to climate change could increase N2O emissions and shift grasslands from a net CH4 sink to a source. Therefore, effective management strategies are critical for mitigating greenhouse gas emissions from flood-prone grasslands. We tested how repeated flooding affected the N2O and CH4 emissions from 11 different plant communities (Festuca arundinacea, Lolium perenne, Poa trivialis, and Trifolium repens in monoculture, 2- and 4-species mixtures), using intact soil cores from an 18-month old grassland field experiment in a 4-month greenhouse experiment. To elucidate potential underlying mechanisms, we related plant functional traits to cumulative N2O and CH4 emissions. We hypothesized that traits related with fast nitrogen uptake and growth would lower N2O and CH4 emissions in ambient (non-flooded) conditions, and that traits related to tissue toughness would lower N2O and CH4 emissions in flooded conditions. We found that flooding increased cumulative N2O emissions by 97 fold and cumulative CH4 emissions by 1.6 fold on average. Plant community composition mediated the flood-induced increase in N2O emissions. In flooded conditions, increasing abundance of the grass F. arundinacea was related with lower N2O emissions; whereas increases in abundance of the legume T. repens resulted in higher N2O emissions. In non-flooded conditions, N2O emissions were not clearly mediated by plant traits related with nitrogen uptake or biomass production. In flooded conditions, plant communities with high root carbon to nitrogen ratio were related with lower cumulative N2O emissions, and a lower global warming potential (CO2 equivalent of N2O and CH4). We conclude that plant functional traits related to slower decomposition and nitrogen mineralization could play a significant role in mitigating N2O emissions in flooded grasslands.", "keywords": ["2. 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Unprecedented nitrogen (N) inputs into terrestrial ecosystems have profoundly altered soil N cycling. Ammonia oxidizers and denitrifiers are the main producers of nitrous oxide (N2O), but it remains unclear how ammonia oxidizer and denitrifier abundances will respond to N loading and whether their responses can predict N\uffe2\uff80\uff90induced changes in soil N2O emission. By synthesizing 101 field studies worldwide, we showed that N loading significantly increased ammonia oxidizer abundance by 107% and denitrifier abundance by 45%. The increases in both ammonia oxidizer and denitrifier abundances were primarily explained by N loading form, and more specifically, organic N loading had stronger effects on their abundances than mineral N loading. Nitrogen loading increased soil N2O emission by 261%, whereas there was no clear relationship between changes in soil N2O emission and shifts in ammonia oxidizer and denitrifier abundances. Our field\uffe2\uff80\uff90based results challenge the laboratory\uffe2\uff80\uff90based hypothesis that increased ammonia oxidizer and denitrifier abundances by N loading would directly cause higher soil N2O emission. Instead, key abiotic factors (mean annual precipitation, soil pH, soil C:N ratio, and ecosystem type) explained N\uffe2\uff80\uff90induced changes in soil N2O emission. Altogether, these findings highlight the need for considering the roles of key abiotic factors in regulating soil N transformations under N loading to better understand the microbially mediated soil N2O emission.