{"type": "FeatureCollection", "features": [{"id": "10.5281/zenodo.6566752", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:27:10Z", "type": "Dataset", "title": "Soil carbon stock, litter decomposition, and weather data from Ethiopian forests", "description": "Open AccessIntroduction 100 sampling units (SU) were selected from the total of 631 SUs of the Forest Reference Level submission 2017 (FRL 2017). The sampling was designed unbiased for total growing stock per SU, altitude,and mean litter depth per SU. The actual field sampling succeeded on 98 of the pre-selected SUs due to accessibility restrictions. Soil profile sampling Soil sampling was performed from November 2017 till mid-January 2018. Samples were taken from undisturbed soil from depths of 0-10 cm, 10-20 cm, and 20-30 cm below the organic layer. Volumetric samples of 107.5 cm3 were taken vertically, using a 10 cm long conically shaped corer with a cutting lower edge diameter of 37 mm and upper diameter of 40 mm. Composite samples were formed by combining the volumetric samples taken from different depths of two parallel soil profiles. The samples were transported to EEFRI Soil Laboratory in Addis Ababa after 1-4 weeks of sampling at distant locations. Soil physical characteristics The soil samples were air-dried, homogenized, and subjected to oven-drying at 105\u00b0C until constant mass. Total bulk density was determined using the total dry mass and volume of the composite samples. Organic carbon content (C % by wet oxidation method), and soil physical characteristics: moisture content, bulk density of the total sample, and bulk density of fine fraction (particles passing the 2 mm sieve). The mass of the coarse fraction was weighed. The soil fine fraction was also subjected to laser diffraction for more accurate particle size analysis for proportions of clay, silt, and sand. In addition to this 28 samples were also analyzed for C content in the laboratory of Natural Resources Institute Finland to determine C content by LECO CHN analyzer. This was done to calibrate the bulk of wet digestion-based estimates (Fig. 1). Before analysis, the soils were tested for the presence of inorganic C. For Figure 1. See Soil_C_Ethiopia.pdf Figure 1. Comparison of results from wet oxidation (Walkley-Black) and dry oxidation (CHN analyzer). The dotted line shows the theoretical 1:1 match between the axis, the solid line shows linear regression (intercept = 0) between the methods. The estimated slope value of 1.165 was used in adjusting the wet digestion results to match those obtained by dry oxidation: OCadj = 1.165 * OCwet. Based on a linear regression between the wet and dry oxidation analysis results, a correction factor of 1.165 was applied to adjust the organic C% obtained by wet digestion. The adjusted data are shown in the file \u201cSOC_Ethiopia_2017-2018.csv\u201d. SOC stocks were calculated by multiplying the proportion of organic C with BD of fine earth, after which the result was corrected for stoniness, a visually estimated proportion of large stones (S, value from 0 to 1) in the soil profile that could not be included in the volumetric soil samples (FAO VS-FAST). (SOCstock = C_{org} * BD_{fe} * (1-S) ) Soil organic carbon stock data Files: \u201cSOC_Ethiopia_2017-2018.csv\u201d and \u201cSOC_Ethiopia_2017-2018.xlsx\u201d The file includes soil characteristics from layers of 0-10 cm, 10-20 cm, and 20-30 cm below the loose organic layer on top of the soil. The data are used for SOC stock estimation in the respective layers as described above. In the .csv file individual columns are for LAT is the latitude of the sampling site corresponding to FieldCode and SU_nr LON is the longitude of the sampling site corresponding to FieldCode and SU_nr The coordinates are expressed as decimal degrees of the WGS84 system FieldCode refers to the Region and Sampling Unit number of the Ethiopian NFI (see below) SU_nr is the Sampling Unit number of the Ethiopian NFI Region is the name of the administrative region where the sample was taken Biome is the name of the forest biome type where the sample was collected BiomeSimplified is the name of a biome with some close types combined DepthRange is the upper and lower limit of the soil sample in the field, cm StoninessVFAST is a percentage of stones (VS-FAST by FAO) in the ca. 40 cm deep soil profile exposed during the sampling FreshMassInField is the mass of the total composite soil sample of the given layer, g, primarily indicative of checking the correct number of subsamples in composite NrComposites is the number of subsamples included in the composite for each soil layer CorerVolume is a constant of 107.5 cm3 because only one type of corer was used for undisturbed, volumetric sampling CompositeVolume is the volume of the composite sample for each soil depth layer CoarseFractionMass is the dry mass, g of soil particles > 2mm that did not pass the sieve, but were included in the sample volume FE_DryMass is oven-dry mass, g of the fine fraction that passed the 2 mm sieve. BDtot is total bulk density, g m-3, calculated for the composite sample BDfe is the bulk density of the fine earth fraction, g m-3 OC_adj is organic carbon (OC) content (%) in the composite sample, adjusted according to the comparison between dry and wet oxidation methods (Fig. 1) SOCfe is SOC stock calculated for soil fine earth fraction, t ha-1 in the 10 cm deep soil layer SOCfe_stoniness is SOC stock of the fine earth fraction, t ha-1 in the 10 cm deep soil layer, adjusted for stoniness. The correction assumes that the volume occupied by larger stones would be void of OC. Litter stock data File: \u201cLitter_Ethiopia_2017-2018.csv\u201d The file includes measurements of litter layer on Ethiopian NFI Sampling Unit (SU) sites where sampling for SOC stock determination was done. The depth of the litter layer was measured in the SU\u2019s of the NFI, and this data contains in addition to depth also a volumetric sample of the litter layer. The dry bulk density was used to calculate the carbon stocks in the litter pool. The depth of the litter layer was measured in the field. Litter from the respective spot was sampled quantitatively from a frame of 0.01m2 of area for litter dry mass estimate. The organic C stock in a litter (L) was calculated as, (L = {M over z} * {C_{om} over A}, ) where M = Dry mass of the litter sample, g z = Depth of the litter layer in the field, m Com = Conversion factor from dry organic matter to carbon (C), 0.5 A = area of quantitative collection of litter (0.01 m2) In the .csv file individual columns are for LAT, LON is the GPS coordinates (decimal degrees of WGS84) for the Sampling Units (SU_ID) SU_ID is the Sampling Unit identification number of the Ethiopian NFI FieldCode refers to the Region and Sampling Unit number of the Ethiopian NFI (see below) Region is the name of the administrative region where the sample was taken Litter_dry is the dry mass, g of the litter sample Area_m2 is the area, m2 of litter sampling MeanLitterDepth is the mean depth of the litter layer at the sampling area CDensityLitter is the dry bulk density of the litter, g m-2 multiplied by the assumed organic C proportion of the oven-dry litter materials (0.50) LitterCStock_tha is the litter stock, t ha-1 calculated from the C density of the litter layer Litter bag data (decomposition and quality) The leaves and twigs were sampled from 2 species (Juniperus and Podocarpus) and 3 locations of the elevation gradient in the Chilimo forest (Table 1). The forest was considered an old-growth with Juniperus procera and Podocarpus falcatusbeing the main species forming the tree canopy. The sites form an elevation gradient (Table 1). Table 1. Geographical locations of the study sites in the Chilimo forest. id Latitude (deg.) Longitude (deg.) Elevation (m a.s.l) 1 9.0672 38.1443 2500 2 9.0712 38.1556 2670 3 9.0869 38.1684 2800 The dying and dead leaves were sampled directly from the trees later referred to as \u201cfresh\u201d and from the branches found on the ground, referred to as \u201cold\u201d. The old leaves were assumed to be dead for around 3 months. The diameter of the branches/twigs was less than 1 cm in diameter. The samples were first sorted and air-dried in an elevated temperature of the greenhouse and thereafter oven-dried in the oven overnight at 45 \u00b0C. The samples were analyzed for acid, water, ethanol dissolved,and undissolved fractions (AWEN) (Table 2) and for the decomposition rates of the litter installed into the litter bags corresponding to each of the Chilimo sites. Table 2. Acid, water, ethanol (A, W, E, respectively) dissolved and undissolved fractions (N) from the litter components of the dominant tree species in the Chilimo forest. Litter type Species A W E N leaves fresh Juniperus 0.45 0.13 0.1 0.33 leaves fresh Podocarpus 0.42 0.28 0.05 0.25 leaves old Juniperus 0.44 0.07 0.08 0.41 leaves old Podocarpus 0.44 0.09 0.05 0.42 twigs Juniperus 0.61 0.04 0.02 0.32 twigs Podocarpus 0.56 0.15 0.02 0.27 A sufficient amount of litter was placed into the litter bags (polyurethane mesh 1 mm) and the mesh bags were installed on top of the soil surface under the forest canopy (later referred to as \u201ccanopy\u201d) and in the forest gap caused by harvesting (later referred as \u201copen\u201d). The installation of the litter bags (for each species 3 replicates of each litter type for each site and canopy type for the 3 periods, in total 12 litter bags for leaves and 6 bags for twigs) was done on 22.9.2017. The mesh bags were left on the ground, protected from grazing by the fence, and retrieved subsequently on 12.10.2017, 31.10.2017, and 12.12.2017. Despite the efforts took few samples were lost. The retrieved samples were oven-dried and initial mass and mass loss data for each period and litter type with a detailed description of the variables can be found in the file \u201clitter.chilimo_07.02.22.xlsx\u201d. Soil temperature data During the period from 22.9.2017 to 12.12.2017, we monitored the soil temperature at 5 cm depth under the canopy and in the open canopy on all Chilimo sites continuously every 4 hours intervals with the Maxim iButton temperature loggers. However, some sensors were lost. Daily means and their standard deviation of the continuous temperatures can be found in the file \u201csoil.temp.chilimo_07.02.22.xlsx\u201d. Processed weather data The air temperature and precipitation data for 98 sampling units corresponding to soil carbon data originated from 73 weather stations located across Ethiopia and were obtained from Ethiopian Meteorological Agency (http://www.ethiomet.gov.et/). Sampling units were joined with weather data by the closest proximity to their corresponding weather stations. Precipitation was unaltered. The air temperature required correction by elevation is described in more detail in Lehtonen et al. (2020). The monthly values of air temperature and precipitation with an accompanied readme description of the variables can be found for 98 sampling units in the file \u201csampling.units98_meteo_07.02.22.xlsx\u201d and the Chilimo study sites in the file \u201cmonthly.weather.chilimo_07.02.22.xlsx\u201d. The monthly values in the file 'sampling.units98_meteo_07.02.22.xlsx' correspond to long-term average over the period from 1986 to 2017. References: Lehtonen, A., \u0164upek, B., Nieminen, T.M., Bal\u00e1zs, A., Anjulo, A., Teshome, M., Tiruneh, Y. and Alm, J., 2020. Soil carbon stocks in Ethiopian forests and estimations of their future development under different forest use scenarios. Land Degradation & Development, 31(18), pp.2763-2774. FRL 2017. https://redd.unfccc.int/files/ethiopia_frel_3.2_final_modified_submission.pdf", "keywords": ["2. Zero hunger", "REDD", " soil carbon stock", " litter bag studies", " Ethiopia", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Alm, Jukka, \u0164upek, Boris, Anjulo, Agena, Teshome, Mindaye, Tiruneh, Yibeltal, Abay, Abebe, Alebachew, Mehari, Tervahauta, Arja, Lehtonen, Aleksi,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6566752"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6566752", "name": "item", "description": "10.5281/zenodo.6566752", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6566752"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-20T00:00:00Z"}}, {"id": "10.5281/zenodo.8057232", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:27:33Z", "type": "Dataset", "title": "Upscaling soil organic carbon measurements at the continental scale using multivariate clustering analysis and machine learning", "description": "Data Description: To improve SOC estimation in the United States, we upscaled site-based SOC measurements to the continental scale using multivariate geographic clustering (MGC) approach coupled with machine learning models. First, we used the MGC approach to segment the United States at 30 arc second resolution based on principal component information from environmental covariates (gNATSGO soil properties, WorldClim bioclimatic variables, MODIS biological variables, and physiographic variables) to 20 SOC regions. We then trained separate random forest model ensembles for each of the SOC regions identified using environmental covariates and soil profile measurements from the International Soil Carbon Network (ISCN) and an Alaska soil profile data. We estimated United States SOC for 0-30 cm and 0-100 cm depths were 52.6 + 3.2 and 108.3 + 8.2 Pg C, respectively. Files in collection (32): Collection contains 22 soil properties geospatial rasters, 4 soil SOC geospatial rasters, 2 ISCN site SOC observations csv files, and 4 R scripts gNATSGO TIF files: \u251c\u2500\u2500 available_water_storage_30arc_30cm_us.tif [30 cm depth soil available water storage]
\u251c\u2500\u2500 available_water_storage_30arc_100cm_us.tif [100 cm depth soil available water storage]
\u251c\u2500\u2500 caco3_30arc_30cm_us.tif [30 cm depth soil CaCO3 content]
\u251c\u2500\u2500 caco3_30arc_100cm_us.tif [100 cm depth soil CaCO3 content]
\u251c\u2500\u2500 cec_30arc_30cm_us.tif [30 cm depth soil cation exchange capacity]
\u251c\u2500\u2500 cec_30arc_100cm_us.tif [100 cm depth soil cation exchange capacity]
\u251c\u2500\u2500 clay_30arc_30cm_us.tif [30 cm depth soil clay content]
\u251c\u2500\u2500 clay_30arc_100cm_us.tif [100 cm depth soil clay content]
\u251c\u2500\u2500 depthWT_30arc_us.tif [depth to water table]
\u251c\u2500\u2500 kfactor_30arc_30cm_us.tif [30 cm depth soil erosion factor]
\u251c\u2500\u2500 kfactor_30arc_100cm_us.tif [100 cm depth soil erosion factor]
\u251c\u2500\u2500 ph_30arc_100cm_us.tif [100 cm depth soil pH]
\u251c\u2500\u2500 ph_30arc_100cm_us.tif [30 cm depth soil pH]
\u251c\u2500\u2500 pondingFre_30arc_us.tif [ponding frequency]
\u251c\u2500\u2500 sand_30arc_30cm_us.tif [30 cm depth soil sand content]
\u251c\u2500\u2500 sand_30arc_100cm_us.tif [100 cm depth soil sand content]
\u251c\u2500\u2500 silt_30arc_30cm_us.tif [30 cm depth soil silt content]
\u251c\u2500\u2500 silt_30arc_100cm_us.tif [100 cm depth soil silt content]
\u251c\u2500\u2500 water_content_30arc_30cm_us.tif [30 cm depth soil water content]
\u2514\u2500\u2500 water_content_30arc_100cm_us.tif [100 cm depth soil water content] SOC TIF files: \u251c\u2500\u250030cm SOC mean.tif [30 cm depth soil SOC]
\u251c\u2500\u2500100cm SOC mean.tif [100 cm depth soil SOC]
\u251c\u2500\u250030cm SOC CV.tif [30 cm depth soil SOC coefficient of variation]
\u2514\u2500\u2500100cm SOC CV.tif [100 cm depth soil SOC coefficient of variation] site observations csv files: ISCN_rmNRCS_addNCSS_30cm.csv 30cm ISCN sites SOC replaced NRCS sites with NCSS centroid removed data ISCN_rmNRCS_addNCSS_100cm.csv 100cm ISCN sites SOC replaced NRCS sites with NCSS centroid removed data
Data format: Geospatial files are provided in Geotiff format in Lat/Lon WGS84 EPSG: 4326 projection at 30 arc second resolution. Geospatial projection: 
GEOGCS['GCS_WGS_1984', DATUM['D_WGS_1984', SPHEROID['WGS_1984',6378137,298.257223563]], PRIMEM['Greenwich',0], UNIT['Degree',0.017453292519943295]] (base) [jbk@theseus ltar_regionalization]$ g.proj -w GEOGCS['wgs84', DATUM['WGS_1984', SPHEROID['WGS_1984',6378137,298.257223563]], PRIMEM['Greenwich',0], UNIT['degree',0.0174532925199433]]
", "keywords": ["gNATSGO", "the United States SOC", "US soil properties", "15. Life on land", "Gridded National Soil Survey Geographic Database", "International Soil Carbon Network (ISCN)"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8057232"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8057232", "name": "item", "description": "10.5281/zenodo.8057232", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8057232"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-25T00:00:00Z"}}, {"id": "10.1016/j.eja.2011.01.006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:17:18Z", "type": "Journal Article", "created": "2011-02-23", "title": "Biochar As A Strategy To Sequester Carbon And Increase Yield In Durum Wheat", "description": "Carbon sequestration in agricultural soils is a climate change mitigation option since most of cultivated soils are depleted of soil organic carbon and far from saturation. The management practices, most frequently suggested to increase soil organic carbon content have variable effects depending on pedo-climatic conditions and have to be applied for a long time periods to maintain their sink capacity. Biochar (BC), a carbon rich product obtained through carbonization of biomass, can be used for carbon sequestration by applying large amounts of carbon very resistant to decomposition. The BC remains into soil for a long time and there is evidence that the BC stores atmospheric carbon from centennial, to millennial timescales. However most of the agronomic studies on BC application have been made in tropical and sub-tropical climates, while there is a substantial lack of studies at mid-latitudes and in temperate climates. This paper presents the results on an investigation of large volume application of BC (30 and 60 t ha-1) on durum wheat in the Mediterranean climate condition, showing the viability of BC application for carbon sequestration on this crop. BC application also has positive effects up to 30% on biomass production and yield, with no differences in grain nitrogen content. Moreover no significant differences between the two BC treatments were detected, suggesting that even very high BC application rates promote plant growth and are, certainly, not detrimental. The effect of the biochar on durum wheat was sustained for two consecutive seasons when BC application was not repeated in the second year.", "keywords": ["2. Zero hunger", "550", "Grain quality", "Soil amendment", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "630", "Temperate climate", "13. Climate action", "Charcoal", "0401 agriculture", " forestry", " and fisheries", "Soil carbon sequestration", "biochar; durum wheat", "Charcoal; Grain quality; Soil amendment; Soil carbon sequestration; Temperate climate;", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.eja.2011.01.006"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.eja.2011.01.006", "name": "item", "description": "10.1016/j.eja.2011.01.006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.eja.2011.01.006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-05-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2022.120637", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:17:42Z", "type": "Journal Article", "created": "2022-11-25", "title": "How does management affect soil C sequestration and greenhouse gas fluxes in boreal and temperate forests? \u2013 A review", "description": "The global forest carbon (C) stock is estimated at 662 Gt of which 45% is in soil organic matter. Thus, comprehensive understanding of the effects of forest management practices on forest soil C stock and greenhouse gas (GHG) fluxes is needed for the development of effective forest-based climate change mitigation strategies. To improve this understanding, we synthesized peer-reviewed literature on forest management practices that canmitigate climate change by increasing soil C stocks and reducing GHG emissions. We further identified soil processes that affect soil GHG balance and discussed how models represent forest management effects on soil in GHG inventories and scenario analyses to address forest climate change mitigation potential.Forest management effects depend strongly on the specific practice and land type. Intensive timber harvesting with removal of harvest residues/stumps results in a reduction in soil C stock, while high stocking density and enhanced productivity by fertilization or dominance of coniferous species increase soil C stock. Nitrogenfertilization increases the soil C stock and N2O emissions while decreasing the CH4 sink. Peatland hydrology management is a major driver of the GHG emissions of the peatland forests, with lower water level corresponding to higher CO2 emissions. Furthermore, the global warming potential of all GHG emissions (CO2, CH4 and N2O) together can be ten-fold higher after clear-cutting than in peatlands with standing trees. The climate change mitigation potential of forest soils, as estimated by modelling approaches, accounts for stand biomass driven effects and climate factors that affect the decomposition rate. A future challenge is to account for the effects of soil preparation and other management that affects soil processes by changing soil temperature, soil moisture, soil nutrient balance, microbial community structure and processes, hydrology and soil oxygen concentration in the models. We recommend that soil monitoring and modelling focus on linkingprocesses of soil C stabilization with the functioning of soil microbiota.", "keywords": ["[SDE] Environmental Sciences", "330", "550", "Peatland hydrology management", "CLIMATE-CHANGE ADAPTATION", "WOOD ASH APPLICATION", "530", "Greenhouse gas", "SITE PREPARATION", "630", "12. Responsible consumption", "BELOW-GROUND CARBON", "11. Sustainability", "SDG 13 - Climate Action", "NITROGEN-FERTILIZATION", "SDG 15 - Life on Land", "2. Zero hunger", "PONDEROSA PINE", "GE", "PLANT LITTER DECOMPOSITION", "NORWAY SPRUCE", "04 agricultural and veterinary sciences", "15. Life on land", "004", "Forest fertilization", "Harvesting practices", "ORGANIC-MATTER", "Forest fire management", "13. Climate action", "[SDE]Environmental Sciences", "Forest soil carbon management", "0401 agriculture", " forestry", " and fisheries", "MICROBIAL COMMUNITY STRUCTURE", "GE Environmental Sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2022.120637"}, {"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.2022.120637", "name": "item", "description": "10.1016/j.foreco.2022.120637", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2022.120637"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-01T00:00:00Z"}}, {"id": "10.1002/ldr.917", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-06-27T16:15:12Z", "type": "Journal Article", "created": "2009-03-31", "title": "Effects Of Soil-Protecting Agricultural Practices On Soil Organic Carbon And Productivity In Fruit Tree Orchards", "description": "Abstract

This 4\uffe2\uff80\uff90year on\uffe2\uff80\uff90farm study reports the effects of different agricultural practices on yield and soil organic carbon (SOC) in kiwifruit and apricot orchards grown in a Mediterranean area. Groups of plants under local orchard management (LOM,\uffc2\uffa7

Correction made here after initial publication.

) practices (i.e. soil tillage, removing of pruning residues and mineral fertilisers) were compared with plots under soil\uffe2\uff80\uff90protecting orchard management (SPOM) actions (i.e. cover crop, no\uffe2\uff80\uff90tillage, compost application and mulching of pruning residues). In the SPOM blocks fertilisation rate was based on plant demand and irrigation volumes calculated on the evapotranspiration values, while they were empirically calculated in the LOM plots. Results show that yield was 28\uffe2\uff80\uff9350 per cent enhanced by SPOM practices while SOC remained close to the initial values. In comparison with LOM plots, changed practices increased up to 28\uffe2\uff80\uff9390 per cent the amount of P and K, and 13 per cent that of N annually incorporated into soil increasing their reservoir in the soil. The study demonstrates that appropriate land management can increase the mean annual carbon soil inputs from about 1\uffc2\uffb75 to 9\uffc2\uffb70\uffe2\uff80\uff89t\uffe2\uff80\uff89ha\uffe2\uff88\uff921 per year. Copyright \uffc2\uffa9 2009 John Wiley & Sons, Ltd.

", "keywords": ["2. Zero hunger", "soil organic carbon", "Crop residues; land use; organic matter; soil carbon input; SOC; Mediterranean soil; soil organic carbon", "Crop residue", "land use", "0401 agriculture", " forestry", " and fisheries", "soil carbon input", "SOC", "04 agricultural and veterinary sciences", "15. Life on land", "Mediterranean soil", "organic matter"]}, "links": [{"href": "https://doi.org/10.1002/ldr.917"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Land%20Degradation%20%26amp%3B%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ldr.917", "name": "item", "description": "10.1002/ldr.917", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ldr.917"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-03-31T00:00:00Z"}}, {"id": "10.1016/j.agee.2014.04.006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:16:43Z", "type": "Journal Article", "created": "2014-05-09", "title": "Comparative Analysis Of The Microbial Communities In Agricultural Soil Amended With Enhanced Biochars Or Traditional Fertilisers", "description": "(Uploaded by Plazi for the Bat Literature Project) No abstract provided.", "keywords": ["570", "anzsrc-for: 07 Agricultural and Veterinary Sciences", "bats", "Veterinary and Food Sciences", "anzsrc-for: 16 Studies in Human Society", "Carbon Sequestration Science", "bat", "30 Agricultural", "630", "anzsrc-for: 3004 Crop and Pasture Production", "anzsrc-for: 30 Agricultural", "Chiroptera", "Animalia", "2 Zero Hunger", "Chordata", "2. Zero hunger", "Soil Chemistry (excl. Carbon Sequestration Science)", "anzsrc-for: 44 Human society", "anzsrc-for: 05 Environmental Sciences", "Biodiversity", "04 agricultural and veterinary sciences", "15. Life on land", "3004 Crop and Pasture Production", "6. Clean water", "anzsrc-for: 41 Environmental sciences", "Soil chemistry and soil carbon sequestration (excl. carbon sequestration science)", "Mammalia", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2014.04.006"}, {"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.2014.04.006", "name": "item", "description": "10.1016/j.agee.2014.04.006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2014.04.006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-06-01T00:00:00Z"}}, {"id": "10.1007/s00374-016-1111-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:15:35Z", "type": "Journal Article", "created": "2016-04-18", "title": "The Impact Of Long-Term Liming On Soil Organic Carbon And Aggregate Stability In Low-Input Acid Soils", "description": "No description supplied", "keywords": ["Environmental sciences", "2. Zero hunger", "Biological sciences", "Soil chemistry and soil carbon sequestration (excl. carbon sequestration science)", "Agricultural", " veterinary and food sciences", "FOS: Biological sciences", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Uncategorized", "Forestry sciences"], "contacts": [{"organization": "Caixian Tang, Peter Sale, Nang Seng Aye,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s00374-016-1111-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biology%20and%20Fertility%20of%20Soils", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00374-016-1111-y", "name": "item", "description": "10.1007/s00374-016-1111-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00374-016-1111-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-04-18T00:00:00Z"}}, {"id": "10.1007/s10533-021-00838-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:15:55Z", "type": "Journal Article", "created": "2021-08-27", "title": "Soil organic matter turnover rates increase to match increased inputs in grazed grasslands", "description": "Abstract

Managed grasslands have the potential to store carbon (C) and partially mitigate climate change. However, it remains difficult to predict potential C storage under a given soil or management practice. To study C storage dynamics due to long-term (1952\uffe2\uff80\uff932009) phosphorus (P) fertilizer and irrigation treatments in New Zealand grasslands, we measured radiocarbon (14C) in archived soil along with observed changes in C stocks to constrain a compartmental soil model. Productivity increases from P application and irrigation in these trials resulted in very similar C accumulation rates between 1959 and 2009. The \uffe2\uff88\uff8614C changes over the same time period were similar in plots that were both irrigated and fertilized, and only differed in a non-irrigated fertilized plot. Model results indicated that decomposition rates of fast cycling C (0.1 to 0.2\uffc2\uffa0year\uffe2\uff88\uff921) increased to nearly offset increases in inputs. With increasing P fertilization, decomposition rates also increased in the slow pool (0.005 to 0.008\uffc2\uffa0year\uffe2\uff88\uff921). Our findings show sustained, significant (i.e. greater than 4 per mille) increases in C stocks regardless of treatment or inputs. As the majority of fresh inputs remain in the soil for less than 10\uffc2\uffa0years, these long term increases reflect dynamics of the slow pool. Additionally, frequent irrigation was associated with reduced stocks and increased decomposition of fresh plant material. Rates of C gain and decay highlight trade-offs between productivity, nutrient availability, and soil C sequestration as a climate change mitigation strategy.Management measures to reduce atmospheric carbon dioxide concentrations by increasing soil organic carbon (SOC) storage need verification, e.g., by periodic sampling of soils to estimate resulting changes in SOC stock. Estimates of SOC stocks are affected by content of rock fragments (systematic bias) and soil bulk density (random but significant effect), both of which may vary significantly between soils. We investigated the importance of using site-specific bulk density and correcting for rock fragment content on estimates of SOC stock in 0\u201350 cm depth of agricultural minerals soils, collected in 2019 in the Danish National Square Grid. We found that use of an average bulk density value for a given soil type category produced valid estimates of SOC stocks for regional/national inventories. However, large variations in bulk density were found within a given soil type category, which can result in over- or under-estimation at local sites. This calls for measurement of site-specific bulk density and rock fragment content to produce valid estimates of field-scale SOC stock, e.g., to be used in farm carbon credit schemes.

", "keywords": ["Rock fragment content", "Soil bulk density", "13. Climate action", "National soil carbon inventory", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Agricultural mineral soil", "Soil organic carbon stock", "01 natural sciences", "Soil bulk density", " Rock fragment content", " Soil organic carbon stock", " National soil carbon inventory", " Agricultural mineral soil", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geodrs.2022.e00560"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma%20Regional", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geodrs.2022.e00560", "name": "item", "description": "10.1016/j.geodrs.2022.e00560", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geodrs.2022.e00560"}, {"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.soilbio.2024.109342", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:18:33Z", "type": "Journal Article", "created": "2024-03-08", "title": "Liming effects on microbial carbon use efficiency and its potential consequences for soil organic carbon stocks", "description": "

The allocation of metabolised carbon (C) between soil microbial growth and respiration, i.e. C use efficiency (CUE) is crucial for SOC dynamics. The pH was shown to be a major driver of microbial CUE in agricultural soils and therefore, management practices to control soil pH, such as liming, could serve as a tool to modify microbial physiology. We hypothesised that raising soil pH would alleviate CUE-limiting conditions and that liming could thus increase CUE, thereby supporting SOC accrual. This study investigated whether CUE can be manipulated by liming and how this might contribute to SOC stock changes. The effects of liming on CUE, microbial biomass C, abundance of microbial domains, SOC stocks and OC inputs were assessed for soils from three European long-term field experiments. Field control soils were additionally limed in the laboratory to assess immediate effects, accounting for lime-derived CO2 emissions (δ13C signature). The shift in soil pHH2O from 4.5 to 7.3 with long-term liming reduced CUE by 40%, whereas the shift from 5.5 to 8.6 and from 6.5 to 7.8 was associated with increases in CUE by 16% and 24%, respectively. The overall relationship between CUE and soil pH followed a U-shaped (i.e. quadratic) curve, implying that in agricultural soils CUE may be lowest at pHH2O = 6.4. The immediate CUE response to liming followed the same trends. Interestingly, liming increased microbial biomass C in all cases. Changes in CUE with long-term liming contributed to the net effect of liming on SOC stocks. Our study confirms the value of liming as a management practice for climate-smart agriculture, but demonstrates that it remains difficult to predict the impact on SOC stocks due its complex effects on the C cycle.

", "keywords": ["[SDE] Environmental Sciences", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Isotopic labelling", "Organic C inputs", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "Agricultural soil", "630", "Climate change mitigation", "03 medical and health sciences", "Long-term field experiment (LTE)", "13. Climate action", "[SDE]Environmental Sciences", "Microbial soil carbon", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2024.109342"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2024.109342", "name": "item", "description": "10.1016/j.soilbio.2024.109342", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2024.109342"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-01T00:00:00Z"}}, {"id": "10.1016/j.still.2008.10.017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:18:39Z", "type": "Journal Article", "created": "2008-12-11", "title": "The Impact Of 14 Years Of Conventional And No-Till Cultivation On The Physical Properties And Crop Yields Of A Loam Soil At Grafton Nsw, Australia", "description": "Abstract The impact of 14 years of continuous conventional (CT) or no-till (NT) cultivation on surface soil structure and crop yields was examined on a weakly structured silty loam soil at Grafton in N.S.W. The annual soybean yields of the NT treatme between 1981 and 1985 were consistently less than or equal to those resulting from CT with an average of 2.46\u00a0t\u00a0ha\u22121 and 2.82\u00a0t\u00a0ha\u22121, respectively, for the two treatments. However, CT was unable to sustain the greater yield, and from 1987 onwards the yields of the NT treatments have typically been greater than those of the CT with averages of 2.14\u00a0t\u00a0ha\u22121 and 1.67\u00a0t\u00a0ha\u22121, respectively. During the earlier years of the trial, soil porosity and crop yields were not greatly affected by the different tillage techniques. During later years and at the end of the trial, however, soil porosity and structural stability were greater under NT. Increased soil macroporosity (saturated water content of 0.61 for NT vs 0.40 for CT) and structural stability (dispersed silt\u00a0+\u00a0clay contents of 10% for NT vs 30% for CT) under long term no-till cultivation were consistent with higher saturated hydraulic conductivity (189 for NT vs 23\u00a0mm\u00a0h\u22121 for CT), higher infiltration and lower run-off under rainfall, increased plant available water (12.5% for NT vs 10.5% for CT), water use efficiency, and crop yields. The improvement in soil structure observed under NT is associated with the significant increase in surface soil organic carbon contents (3.37% for NT vs 1.67% for CT) and is shown to be the major contributor to the sustained improvement of crop yields.", "keywords": ["Environmental sciences", "2. Zero hunger", "Soil chemistry and soil carbon sequestration (excl. carbon sequestration science)", "Biological sciences", "Agricultural", "veterinary and food sciences", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "So, HB, Grabski, A, Desborough, P,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.still.2008.10.017"}, {"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.2008.10.017", "name": "item", "description": "10.1016/j.still.2008.10.017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2008.10.017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-06-01T00:00:00Z"}}, {"id": "10.1016/j.still.2015.04.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:18:47Z", "type": "Journal Article", "created": "2015-04-11", "title": "Organic Mulching, Irrigation And Fertilization Affect Soil Co2 Emission And C Storage In Tomato Crop In The Mediterranean Environment", "description": "Abstract Carbon stock and CO 2 emissions in agricultural systems are highly affected by the management of applied practices in arable farms, such as fertilizer use, irrigation, soil tillage, cover crop management, etc. This study evaluated the effects of various organic mulches, nitrogen fertilization and irrigation levels on soil CO 2 emissions, soil carbon sequestration and processing tomato production in the Mediterranean environment. The field experiment was carried out with five main treatments, three cover crops of hairy vetch (HV), lacy phacelia (LF) and white mustard (WM) transplanted in autumn and cut in May to be used as mulches, plus barley straw mulch (BS) and conventional (C) (bare soil). After tomato transplanting, the main plots were split into two nitrogen fertilization treatments (0 and 100\u00a0kg\u00a0N\u00a0ha \u22121 ) and the sub-plots were then split again into three irrigation levels (irrigation water 100%, 75%, 50% of evapotranspiration). In all treatments, a general effect was observed in the temporal fluctuations of soil CO 2 emissions throughout the observation period which were significantly influenced by soil temperature and water content. The temporal fluctuations of the soil CO 2 emissions were attributed to climatic conditions and the peaks achieved optimal conditions of soil temperature and water content for soil respiration. A larger amount of TOC was observed in the mulching treatments than in the control after tomato harvesting (on average 1.44% vs 1.33%, respectively and on average 1.43% in HV trastment), probably due to the residual biomass of the cover crops and a greater growth of the tomato. Although the soil carbon output as cumulated CO 2 emissions did not show statistically significant differences between the treatments, the soil carbon balance enabled us to estimate the highest net carbon contribution to the soil in HV determined by inputs and input/output ratio. However, except for the BS in 2013, the input/output ratios were >1 in all mulch treatments. In the Mediterranean environment, agronomical practices, such as the use of hairy vetch mulch on notilled soil, a slight reduction of irrigation water (\u221225%) and a rationalized use of N fertilizer potentially could shift the C balance in favor of soil C accumulation.", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "CO2 emission Fertilization Irrigation Organic mulching Soil carbon Tomato production", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2015.04.001"}, {"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.2015.04.001", "name": "item", "description": "10.1016/j.still.2015.04.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2015.04.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-09-01T00:00:00Z"}}, {"id": "10.1016/j.still.2021.105043", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:18:49Z", "type": "Journal Article", "created": "2021-05-11", "title": "Response of boreal clay soil properties and erosion to ten years of no-till management", "description": "Abstract We compared soil physical, chemical and biological properties, erosion rate and carbon allocation to soil physical fractions between conventional tillage (CT) and no-till (NT) management at a clay soil site under spring cereal monoculture in southwestern Finland. Subsurface drain discharge, surface runoff and soil erosion were continuously monitored in 2008 \u2212 2018. At the end of the 10-year monitoring period in 2018, various soil properties and earthworm total density, mass and species richness were determined. Total soil erosion was 56 % less in NT than in CT although surface water discharge was higher in NT. NT had a clear effect on the topsoil physical structure by decreasing the pore size and increasing soil aggregate size. The total soil carbon stock in the 700 kg m\u22122 mineral topsoil layer (approx. 0\u221260 cm layer) was slightly lower in NT (108 \u00b1 12 Mg C ha-1) than in CT (118 \u00b1 9.0 Mg C ha-1) due to lower carbon content of the 10\u221230 cm layer in NT. In NT the proportion of large macroaggregates was higher and more organic carbon was bound to large macroaggregates in the 0\u221210 cm layer which may be related to the higher abundance of earthworms in NT. The results showed that NT is an effective method to reduce erosion rates but other means to increase carbon input especially below the topsoil layer are likely required to achieve a significant increase in the carbon stock of boreal clay soils. For both tillage managements, the rate of erosion through subsurface drains depended clearly on annual precipitation and winter temperature, posing a challenge in the future climate with mild winters and more extreme discharges.", "keywords": ["No-tillage", " soil aggregate", " soil erosion", " water discharge", " earthworm", " soil carbon", "2. Zero hunger", "550", "ta1172", "No-tillage", "Soil aggregate", "04 agricultural and veterinary sciences", "15. Life on land", "Soil carbon", "630", "6. Clean water", "Water discharge", "13. Climate action", "Earthworm", "Soil erosion", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2021.105043"}, {"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.2021.105043", "name": "item", "description": "10.1016/j.still.2021.105043", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2021.105043"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-01T00:00:00Z"}}, {"id": "10.1038/s41597-023-02751-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:19:27Z", "type": "Journal Article", "created": "2024-01-02", "title": "A global dataset on phosphorus in agricultural soils", "description": "Abstract

Numerous drivers such as farming practices, erosion, land-use change, and soil biogeochemical background, determine the global spatial distribution of phosphorus (P) in agricultural soils. Here, we revised an approach published earlier (called here GPASOIL-v0), in which several global datasets describing these drivers were combined with a process model for soil P dynamics to reconstruct the past and current distribution of P in cropland and grassland soils. The objective of the present update, called GPASOIL-v1, is to incorporate recent advances in process understanding about soil inorganic P dynamics, in datasets to describe the different drivers, and in regional soil P measurements for benchmarking. We trace the impact of the update on the reconstructed soil P. After the update we estimate a global averaged inorganic labile P of 187 kgP ha\uffe2\uff88\uff921 for cropland and 91 kgP ha\uffe2\uff88\uff921 for grassland in 2018 for the top 0\uffe2\uff80\uff930.3\uffe2\uff80\uff89m soil layer, but these values are sensitive to the mineralization rates chosen for the organic P pools. Uncertainty in the driver estimates lead to coefficients of variation of 0.22 and 0.54 for cropland and grassland, respectively. This work makes the methods for simulating the agricultural soil P maps more transparent and reproducible than previous estimates, and increases the confidence in the new estimates, while the evaluation against regional dataset still suggests rooms for further improvement.Soils store large quantities of carbon in the subsoil (below 0.2\uffe2\uff80\uff89m depth) that is generally old and believed to be stabilized over centuries to millennia, which suggests that subsoil carbon sequestration (CS) can be used as a strategy for climate change mitigation. In this article, we review the main biophysical processes that contribute to carbon storage in subsoil and the main mathematical models used to represent these processes. Our guiding objective is to review whether a process understanding of soil carbon movement in the vertical profile can help us to assess carbon storage and persistence at timescales relevant for climate change mitigation. Bioturbation, liquid phase transport, belowground carbon inputs, mineral association, and microbial activity are the main processes contributing to the formation of soil carbon profiles, and these processes are represented in models using the diffusion\uffe2\uff80\uff93advection\uffe2\uff80\uff93reaction paradigm. Based on simulation examples and measurements from carbon and radiocarbon profiles across biomes, we found that advective and diffusive transport may only play a secondary role in the formation of soil carbon profiles. The difference between vertical root inputs and decomposition seems to play a primary role in determining the shape of carbon change with depth. Using the transit time of carbon to assess the timescales of carbon storage of new inputs, we show that only small quantities of new carbon inputs travel through the profile and can be stabilized for time horizons longer than 50\uffe2\uff80\uff89years, implying that activities that promote CS in the subsoil must take into consideration the very small quantities that can be stabilized in the long term.Warming alters soil microbial traits through ecological and evolutionary processes, directly influencing the decomposition of organic matter, which significantly affects global soil carbon emissions. Yet, soil carbon models largely ignore these processes and their implications for global responses to warming. Here, we incorporate eco\uffe2\uff80\uff90evolutionary theory into a mechanistic model describing microbial soil carbon decomposition to address the question of whether such processes could have consequential effects on climate carbon feedbacks globally. We assume that a key trait of microbes, their resource allocation to production of exoenzymes (which facilitate decomposition of organic matter)\uffe2\uff80\uff94is optimized to environmental temperatures by natural selection. We find that eco\uffe2\uff80\uff90evolutionary optimization results in microbes allocating more resources to enzyme production under warming. When applied at the global scale, eco\uffe2\uff80\uff90evolutionary optimization enhances the biological realism of soil carbon models and significantly amplifies global soil carbon loss by 2100. Our results highlight the significant potential of microbial eco\uffe2\uff80\uff90evolutionary responses to influence carbon cycle feedbacks to climate change, and motivate an urgent need for more comprehensive data to accurately quantify the adaptive potential of microbiomes in response to climate change.The future of terrestrial soil carbon stocks plays a crucial role in climate change prediction. Modern machine learning techniques are now widely applied in soil science to predict the spatial distribution of soil properties from observational data. Beyond prediction, the use of machine learning as a data-mining tool offers a promising pathway for improving soil carbon modelling and refining projections of climate\uffe2\uff80\uff93carbon feedbacks. In this paper, we review recent advances in the application of machine learning to global soil carbon modelling as a data-mining tool and highlight its potential to drive an iterative feedback loop that improves the representation of soil carbon dynamics in Earth System Models. Total ecosystem carbon in the soil and vegetation was measured for a range of aspen (Populustremuloides Michx.) ecosystems, including a chronosequence on the same soil ranging in age from 0 to 80 years. Soil carbon stayed relatively constant throughout the stand's life and was not affected by timber harvesting. Changes in ecosystem carbon closely paralleled the changes in standing biomass. Aspen grown on 40-year rotations on good soils will sequester several times as much carbon per year as old-growth forests.

", "keywords": ["Management Options", "0106 biological sciences", "Michigan", "Spermatophyta", "Angiosperms", "Broadleaves", "wisconsin", "aspen", "Minnesota", "01 natural sciences", "Dicots", "forest succession", "Spermatophytes", "Populus tremuloides", "Biomass", "Plantae", "Forest Sciences", "USA", "Vascular Plants", "Salicaceae: Dicotyledones", "carbon", "Rotation Length", "age of trees", "Forestry", "Carbon cycle", "plant succession", "Plants", "Timber Harvest", "forest ecosystem", "carbon storage", "15. Life on land", "Angiospermae", "Chronosequence Soil Carbon", "ecosystems"], "contacts": [{"organization": "Alban, David H., Perala, D.A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1139/x92-146"}, {"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/x92-146", "name": "item", "description": "10.1139/x92-146", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1139/x92-146"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1992-08-01T00:00:00Z"}}, {"id": "10.3390/f5081952", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:23:32Z", "type": "Journal Article", "created": "2014-08-07", "description": "

Tree-based intercropping (TBI) systems, consisting of a medium to fast-growing woody species planted in widely-spaced rows with crops cultivated between tree rows, are a potential sink for atmospheric carbon dioxide (CO2). TBI systems contribute to farm income in the long-term by improving soil quality, as indicated by soil carbon (C) storage, generating profits from crop plus tree production and potentially through C credit trading. The objectives of the current study were: (1) to evaluate soil C and nitrogen (N) stocks in soil depth increments in the 0\uffe2\uff80\uff9330 cm layer between tree rows of nine-year old hybrid poplar-hay intercropping systems, to compare these to C and N stocks in adjacent agricultural systems; and (2) to determine how hay yield, litterfall and percent total light transmittance (PTLT) were related to soil C and N stocks between tree rows and in adjacent agricultural systems. The two TBI study sites (St. Edouard and St. Paulin) had a hay intercrop with alternating rows of hybrid poplar clones and hardwoods and included an adjacent agricultural system with no trees (i.e., the control plots). Soil C and N stocks were greater in the 0\uffe2\uff80\uff935 cm depth increment of the TBI system within 1 m of the hardwood row, to the west of the poplar row, compared to the sampling point 1 m east of poplar at St. Edouard (p = 0.02). However, the agricultural system stored more soil C than the nine-year old TBI system in the 20\uffe2\uff80\uff9330 cm and 0\uffe2\uff80\uff9330 cm depth increments. Accumulation of soil C in the 20\uffe2\uff80\uff9330 cm depth increment could be due to tillage-induced burial of non-harvested crop residues at the bottom of the plow-pan. Soil C and N stocks were similar at all depth increments in TBI and agricultural systems at St. Paulin. Soil C and N stocks were not related to hay yield, litterfall and PTLT at St. Paulin, but hay yield and PTLT were significantly correlated (R = 0.87, p < 0.05, n = 21), with lower hay yield in proximity to trees in the TBI system and similar hay yields in the middle of alleys as in the agricultural system. Nine years of TBI practices did not produce significant gains in soil C and N stocks in the 0\uffe2\uff80\uff9330 cm layer, indicating that the total C budget, including C sequestered in trees and unharvested components (litterfall and roots), must be assessed to determine the long-term profitability of TBI systems in Canada.

", "keywords": ["tree-based intercropping; land management; soil carbon storage", "2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/1999-4907/5/8/1952/pdf"}, {"href": "https://doi.org/10.3390/f5081952"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forests", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/f5081952", "name": "item", "description": "10.3390/f5081952", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/f5081952"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-08-07T00:00:00Z"}}, {"id": "10.3390/agronomy13041002", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:23:28Z", "type": "Journal Article", "created": "2023-03-29", "title": "Soil-Water Effects of Good Agricultural and Environmental Conditions Should Be Weighed in Conjunction with Carbon Farming", "description": "

Soil-water practice is essential for farm sustainability, thereby establishing the reference level for agricultural policy of the European Union (EU). This paper focuses on the critical gap in the knowledge surrounding comparison of soil-water effects of Good Agricultural and Environmental Conditions (GAEC) and carbon farming. We aim to interrogate the tasks assigned to soil-water standards during the 2005\u20132020 timeframe and identify soil-water effects under selected soil-water GAEC topics. The farm-level and landscape-scale effects were weighed for each standard. The investigation included an extensive meta-review of documents that featured scientific work on sustainable practice. In each GAEC document, soil-water sustainability was weighed vis-a-vis carbon farming. Our main finding was that the identification of soil-water effects within GAEC was addressed both at farm-enterprise level (E) and landscape scale (L). This identification was very similar among the sampled Member States (Czech Republic, Hungary, Poland, and Slovakia). A small differentiation was detected in how exact the guidance under each standard was in each of these Member States, and hence how the prioritization was scored, ranging from 1, most influential, to 5, least influential. The scores that prevailed were 2.5\u20135 on the part of the scoring instrument. Carbon farming is a welcome addition to the corpus of good farming practice and is complementary to GAEC.

", "keywords": ["2. Zero hunger", "13. Climate action", "S", "good agricultural practice", "standards", "soil sustainability", "Agriculture", "15. Life on land", "soil carbon", "water use", "good agricultural practice; soil sustainability; standards; soil carbon; water use", "12. Responsible consumption"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/13/4/1002/pdf"}, {"href": "https://www.mdpi.com/2073-4395/13/4/1002/pdf"}, {"href": "https://doi.org/10.3390/agronomy13041002"}, {"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/agronomy13041002", "name": "item", "description": "10.3390/agronomy13041002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy13041002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-03-29T00:00:00Z"}}, {"id": "10.3390/atmos7020017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:23:30Z", "type": "Journal Article", "created": "2016-01-28", "description": "

Since agriculture directly contributes to global anthropogenic greenhouse gas (GHG) emissions, integrating trees into agricultural landscapes through agroforestry systems is a viable adaptive strategy for climate change mitigation. The objective of this study was to evaluate the carbon (C) sequestration and financial benefits of C sequestration according to Quebec\uffe2\uff80\uff99s Cap-and-Trade System for Greenhouse Gas Emissions Allowances (C & T System) or the Syst\uffc3\uffa8me de plafonnement et d\uffe2\uff80\uff99\uffc3\uffa9change de droits d\uffe2\uff80\uff99\uffc3\uffa9mission de gaz \uffc3\uffa0 effet de serre du Qu\uffc3\uffa9bec (SPEDE) program for two experimental 10-year-old tree-based intercropping (TBI) systems in southern Quebec, Canada. We estimated total C stored in the two TBI systems with hybrid poplar and hardwoods and adjacent non-TBI systems under agricultural production, considering soil, crop and crop roots, litterfall, tree and tree roots as C stocks. The C sequestration of the TBI and adjacent non-TBI systems were compared and the market value of the C payment was evaluated using the net present value (NPV) approach. The TBI systems had 33% to 36% more C storage than adjacent non-TBI systems. The financial benefits of C sequestration after 10 years of TBI practices amounted to of $2,259\uffe2\uff80\uff93$2,758 CAD ha\uffe2\uff88\uff921 and $1,568\uffe2\uff80\uff93$1,913 CAD ha\uffe2\uff88\uff921 for St. Edouard and St. Paulin sites, respectively. We conclude that valorizing the C sequestration of TBI systems could be an incentive to promote the establishment of TBI for the purpose of GHG mitigation in Quebec, Canada.

", "keywords": ["2. Zero hunger", "cap-and-trade system", "330", "hybrid poplar", "04 agricultural and veterinary sciences", "15. Life on land", "7. Clean energy", "12. Responsible consumption", "carbon budget", "temperate agroforestry", "hybrid poplar; temperate agroforestry; cap-and-trade system; soil carbon storage; carbon budget", "13. Climate action", "soil carbon storage", "Meteorology. Climatology", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "QC851-999"]}, "links": [{"href": "http://www.mdpi.com/2073-4433/7/2/17/pdf"}, {"href": "https://doi.org/10.3390/atmos7020017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/atmos7020017", "name": "item", "description": "10.3390/atmos7020017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/atmos7020017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-28T00:00:00Z"}}, {"id": "10.3390/f7120308", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:23:32Z", "type": "Journal Article", "created": "2016-12-08", "title": "The Effect of Harvest on Forest Soil Carbon: A Meta-Analysis", "description": "

Forest soils represent a substantial portion of the terrestrial carbon (C) pool, and changes to soil C cycling are globally significant not only for C sequestration but also for sustaining forest productivity and ecosystem services. To quantify the effect of harvesting on soil C, we used meta-analysis to examine a database of 945 responses to harvesting collected from 112 publications from around the world. Harvesting reduced soil C, on average, by 11.2% with 95% CI [14.1%, 8.5%]. There was substantial variation between responses in different soil depths, with greatest losses occurring in the O horizon (\uffe2\uff88\uff9230.2%). Much smaller but still significant losses (\uffe2\uff88\uff923.3%) occurred in top soil C pools (0\uffe2\uff80\uff9315 cm depth). In very deep soil (60\uffe2\uff80\uff93100+ cm), a significant loss of 17.7% of soil C in was observed after harvest. However, only 21 of the 945 total responses examined this depth, indicating a substantial need for more research in this area. The response of soil C to harvesting varies substantially between soil orders, with greater losses in Spodosol and Ultisol orders and less substantial losses in Alfisols and Andisols. Soil C takes several decades to recover following harvest, with Spodosol and Ultisol C recovering only after at least 75 years. The publications in this analysis were highly skewed toward surface sampling, with a maximum sampling depth of 36 cm, on average. Sampling deep soil represents one of the best opportunities to reduce uncertainty in the understanding of the response of soil C to forest harvest.

", "keywords": ["0106 biological sciences", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "forest management; harvest; soil carbon; soil order; deep soil; meta-analysis", "01 natural sciences"]}, "links": [{"href": "http://www.mdpi.com/1999-4907/7/12/308/pdf"}, {"href": "https://doi.org/10.3390/f7120308"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forests", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/f7120308", "name": "item", "description": "10.3390/f7120308", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/f7120308"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-12-07T00:00:00Z"}}, {"id": "10.5061/dryad.ns92q", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-06-27T16:24:26Z", "type": "Dataset", "title": "Data from: Soil carbon response to woody plant encroachment: Importance of spatial heterogeneity and deep soil storage", "description": "unspecified1. Recent global trends of increasing woody plant abundance in grass-dominated ecosystems may substantially enhance soil organic carbon (SOC) storage and could represent a strong carbon (C) sink in the terrestrial environment. However, few studies have quantitatively addressed the influence of spatial heterogeneity of vegetation and soil properties on SOC storage at the landscape scale. In addition, most studies assessing SOC response to woody encroachment consider only surface soils, and have not explicitly assessed the extent to which deeper portions of the soil profile may be sequestering C. 2. We quantified the direction, magnitude, and pattern of spatial heterogeneity of SOC in the upper 1.2 m of the profile following woody encroachment via spatially-specific intensive soil sampling across a landscape in a subtropical savanna in the Rio Grande Plains, USA, that has undergone woody proliferation during the past century. 3. Increased SOC accumulation following woody encroachment was observed to considerable depth, albeit at reduced magnitudes in deeper portions of the profile. Overall, woody clusters and groves accumulated 12.87 and 18.67 Mg C ha-1 more SOC compared to grasslands to a depth of 1.2 m. 4. Woody encroachment significantly altered the pattern of spatial heterogeneity of SOC to a depth of 5 cm, with marginal effect at 5-15 cm, and no significant impact on soils below 15 cm. Fine root density explained greater variability of SOC in the upper 15 cm, while a combination of fine root density and soil clay content accounted for more of the variation in SOC in soils below 15 cm across this landscape. 5. Synthesis: Substantial SOC sequestration can occur in deeper portions of the soil profile following woody encroachment. Furthermore, vegetation patterns and soil properties influenced the spatial heterogeneity and uncertainty of SOC in this landscape, highlighting the need for spatially specific sampling that can characterize this variability and enable scaling and modeling. Given the geographic extent of woody encroachment on a global scale, this undocumented deep soil C sequestration suggests this vegetation change may play a more significant role in regional and global C sequestration than previously thought.", "keywords": ["2. Zero hunger", "deep soil carbon", "13. Climate action", "\u03b413C value", "landscape scale", "woody plant encroachment", "15. Life on land", "pattern of spatial heterogeneity", "SOC storage", "subtropical savanna"], "contacts": [{"organization": "Zhou, Yong, Boutton, Thomas W., Wu, X. Ben,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.ns92q"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.ns92q", "name": "item", "description": "10.5061/dryad.ns92q", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.ns92q"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-10T00:00:00Z"}}, {"id": "10.5194/egusphere-egu24-105", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:24:45Z", "type": "Journal Article", "created": "2024-03-08", "title": "Liming effects on microbial carbon use efficiency and its potential consequences for soil organic carbon stocks", "description": "

The allocation of metabolised carbon (C) between soil microbial growth and respiration, i.e. C use efficiency (CUE) is crucial for SOC dynamics. The pH was shown to be a major driver of microbial CUE in agricultural soils and therefore, management practices to control soil pH, such as liming, could serve as a tool to modify microbial physiology. We hypothesised that raising soil pH would alleviate CUE-limiting conditions and that liming could thus increase CUE, thereby supporting SOC accrual. This study investigated whether CUE can be manipulated by liming and how this might contribute to SOC stock changes. The effects of liming on CUE, microbial biomass C, abundance of microbial domains, SOC stocks and OC inputs were assessed for soils from three European long-term field experiments. Field control soils were additionally limed in the laboratory to assess immediate effects, accounting for lime-derived CO2 emissions (&#948;13C signature). The shift in soil pHH2O from 4.5 to 7.3 with long-term liming reduced CUE by 40%, whereas the shift from 5.5 to 8.6 and from 6.5 to 7.8 was associated with increases in CUE by 16% and 24%, respectively. The overall relationship between CUE and soil pH followed a U-shaped (i.e. quadratic) curve, implying that in agricultural soils CUE may be lowest at pHH2O&#160;=&#160;6.4. The immediate CUE response to liming followed the same trends. Interestingly, liming increased microbial biomass C in all cases. Changes in CUE with long-term liming contributed to the net effect of liming on SOC stocks. Our study confirms the value of liming as a management practice for climate-smart agriculture, but demonstrates that it remains difficult to predict the impact on SOC stocks due its complex effects on the C cycle.

", "keywords": ["[SDE] Environmental Sciences", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Isotopic labelling", "Organic C inputs", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "Agricultural soil", "630", "Climate change mitigation", "03 medical and health sciences", "Long-term field experiment (LTE)", "13. Climate action", "[SDE]Environmental Sciences", "Microbial soil carbon", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study"]}, "links": [{"href": "https://doi.org/10.5194/egusphere-egu24-105"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/egusphere-egu24-105", "name": "item", "description": "10.5194/egusphere-egu24-105", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/egusphere-egu24-105"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-04-01T00:00:00Z"}}, {"id": "20.500.11850/655486", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:29:51Z", "type": "Journal Article", "created": "2024-01-22", "title": "Carbon sequestration in the subsoil and the time required to stabilize carbon for climate change mitigation", "description": "Abstract

Soils store large quantities of carbon in the subsoil (below 0.2\uffe2\uff80\uff89m depth) that is generally old and believed to be stabilized over centuries to millennia, which suggests that subsoil carbon sequestration (CS) can be used as a strategy for climate change mitigation. In this article, we review the main biophysical processes that contribute to carbon storage in subsoil and the main mathematical models used to represent these processes. Our guiding objective is to review whether a process understanding of soil carbon movement in the vertical profile can help us to assess carbon storage and persistence at timescales relevant for climate change mitigation. Bioturbation, liquid phase transport, belowground carbon inputs, mineral association, and microbial activity are the main processes contributing to the formation of soil carbon profiles, and these processes are represented in models using the diffusion\uffe2\uff80\uff93advection\uffe2\uff80\uff93reaction paradigm. Based on simulation examples and measurements from carbon and radiocarbon profiles across biomes, we found that advective and diffusive transport may only play a secondary role in the formation of soil carbon profiles. The difference between vertical root inputs and decomposition seems to play a primary role in determining the shape of carbon change with depth. Using the transit time of carbon to assess the timescales of carbon storage of new inputs, we show that only small quantities of new carbon inputs travel through the profile and can be stabilized for time horizons longer than 50\uffe2\uff80\uff89years, implying that activities that promote CS in the subsoil must take into consideration the very small quantities that can be stabilized in the long term.14C (\ufffd\ufffd\ufffd) normalized to account for the year of sampling (Shi et al., 2020) (see below). In studies that employed sequential density separation (isolation of multiple free light, occluded light, and heavy fractions for the same sample), the multiple fractions were combined by taking a mass-weighted average for C abundance and C-weighted average for \ufffd\ufffd14C values. C distribution among density fractions was normalized to sum to 100%. Overall, our meta-analysis included data from 52 studies. In addition to C measurements, ISRaD compiles ancillary data regarding site and sample characteristics that were either provided directly in the associated published works or provided as supplementary information from manuscript authors. When variables of interest were not available directly through ISRaD, these variables were populated through utilization of geolocated databases (see supplemental materials in associated published manuscript).", "keywords": ["soil fractions", " radiocarbon", " persistence", " soil organic matter", " soil carbon", " climate change", " terrestrial carbon cycle", "15. Life on land"], "contacts": [{"organization": "Heckman, Katherine A, Pries, Caitlin EH, Lawrence, Corey R, Rasmussen, Craig, Crow, Susan E, Hoyt, Alison M, von Fromm, Sophie F, Shi, Zheng, Stoner, Shane, McGrath, Casey, Beem-Miller, Jeffrey, Berhe, Asmeret A, Blankinship, Joseph C, Keiluweit, Marco, Mar\u00edn-Spiotta, Erika, Monroe, J Grey, Plante, Alain F, Sierra, Carlos A, Thompson, Aaron, Wagai, Rota,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5736535"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5736535", "name": "item", "description": "10.5281/zenodo.5736535", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5736535"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-29T00:00:00Z"}}, {"id": "10.5281/zenodo.6413955", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:27:07Z", "type": "Dataset", "title": "Realistic soil carbon sequestration considering food security and climate change", "description": "This dataset contains soil organic carbon stocks as described in Keel et al. Global Change Biology (submitted) Annual soil organic carbon (SOC) stocks (t C ha-1, 0-30 cm depth) of Swiss agricultural soils simulated with the model RothC for the years 2020-2100. Simulations were performed for 240 strata (regions with similar agricultural production types, climatic conditions and clay content). The SOC stocks are weighted averages across strata for the national scale.
Each column contains SOC stocks for a specific combination of a climate model chains (nine in total) and an emission scenario (three in total: RCP 26, RCP 45, RCP 85) (specified in column header). The results include simulated SOC stocks for a baseline scenario and five soil carbon sequestration (SCS) scenarios (cover crops, biochar amendment at two rates, biochar amendment based on biomass from two agroforestry scenarios).
The SCS scenarios were only performed on cropland, therefore there is only a single file for grassland (the baseline scenario).
All simulations (i.e. baseline as well as the five scenarios) account for changes in crop shares and organic matter additions associated with growing food demand as well as climate change. The scenarios are described in Keel et al. Global Change Biology (submitted) CL_baseline: Baseline scenario for cropland (CL)
GL_baseline: Baseline scenario for permanent grassland (GL)
CL_cover_crops: Cover crop scenario for cropland
CL_biochar_I: Biochar I scenario for cropland
CL_biochar_II: Biochar II scenario for cropland
CL_agroforestry_I: Agroforestry I scenario for cropland
CL_agroforestry_II: Agroforestry II scenario for cropland", "keywords": ["2. Zero hunger", "13. Climate action", "soil organic carbon", " negative emission technology", " carbon dioxide removal", " 4p1000", " climate change", " population growth", " food security", " soil carbon modelling", " biomass availability", " RothC", " biochar", " cover crops", " agroforestry", "15. Life on land", "7. Clean energy"], "contacts": [{"organization": "Keel, Sonja G.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6413955"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6413955", "name": "item", "description": "10.5281/zenodo.6413955", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6413955"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-04-05T00:00:00Z"}}, {"id": "10.5281/zenodo.8112993", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:27:36Z", "type": "Dataset", "title": "Data of soil mineralization rates, carbon and nitrogen pools in a rainfed almond crop and an irrigated mandarin crop derived from Diverfarming project", "description": "Data of soil carbon and nitrogen dynamics, auxiliary data and methods metadata from a rainfed almond crop and an irrigated mandarin crop studied in Diverfarming project", "keywords": ["2. Zero hunger", "soil aggregates; soil carbon and nitrogen stabilization; organic carbon mineralization rates; inter-cropping", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Almagro, Mar\u00eda, Mart\u00ednez-Mena, Mar\u00eda, D\u00edaz-Pereira, Elvira, Boix-Fayos, Carolina, S\u00e1nchez-Navarro, Virginia, Zornoza, Ra\u00fal,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8112993"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8112993", "name": "item", "description": "10.5281/zenodo.8112993", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8112993"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-04T00:00:00Z"}}, {"id": "10.5424/sjar/2012103-562-11", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-06-27T16:27:43Z", "type": "Journal Article", "created": "2012-08-01", "description": "

The maintenance of plant cover between olive grove lanes until the beginning of spring is a soil management alternative that is gradually being adopted by olive growers. As well as protecting the soil from erosion, plant covers have other advantages such as improving the physicochemical properties of the soil, favouring its biodiversity and contributing towards the capturing of atmospheric carbon and its fixation in the soil. A trial was conducted over three growing seasons in an olive plantation situated in southern Spain. It was designed to evaluate the C fixation potential of the residues of the cover species Brachypodium distachyon, Eruca vesicaria, Sinapis alba and of spontaneous weeds; and also to study the decomposition dynamics of plant residues after mowing cover. After 156 and 171 days of decomposition, the species that released the largest amount of C was Brachypodium with values of 2,157 and 1,666 kg ha-1 respectively, while the lowest values of 461 and 509 kg ha-1 were obtained by spontaneous weeds. During the third season (163 days of decomposition) and due to the weather conditions restricting the emergence and growth of cover, spontaneous weeds released the most C with a value of 1,494 kg ha-1. With respect to the fixation of C, Sinapis records the best results with an increase in soil organic C (SOC) concentration of 7,690 kg ha-1. Considering the three seasons and a depth of 20 cm, the behaviour sequence of the different species in favouring the fixation of soil organic C was Sinapis>Brachypodium>spontaneous weeds>Eruca.

", "keywords": ["2. Zero hunger", "carbono liberado; cubierta vegetal; fijaci\u00f3n de carbono en suelo", "cubierta vegetal", "0402 animal and dairy science", "04 agricultural and veterinary sciences", "15. Life on land", "carbono liberado", "6. Clean water", "fijaci\u00f3n de carbono en suelo", "carbon release", "environment and ecology \u2013 soil science", "0401 agriculture", " forestry", " and fisheries", "carbon release; cover crops; soil carbon fixation", "cover crops", "agricultura ecol\u00f3gica; suelos", "soil carbon fixation"]}, "links": [{"href": "https://doi.org/10.5424/sjar/2012103-562-11"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Spanish%20Journal%20of%20Agricultural%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5424/sjar/2012103-562-11", "name": "item", "description": "10.5424/sjar/2012103-562-11", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5424/sjar/2012103-562-11"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-07-09T00:00:00Z"}}, {"id": "10.5683/SP3/D8KCYZ", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:27:46Z", "type": "Dataset", "created": "2022-01-05", "title": "Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0", "description": "Open AccessThis project aimed to produce the first wall-to-wall estimate of C stocks in plants and soils of Canada at 250 m spatial resolution. This dataset contains the map with the soil organic carbon (SOC) in kg/m\u00b2 for entire Canada in 30cm and 1m depth, and the uncertainty in SOC predictions. The SOC stock map was produced using 39,323 ground samples of soil organic carbon concentration (g/kg) distributed in 6,533 sites, 11,068 ground samples of bulk density (kg/dm3) distributed in 2,157 sites, long-term climate data, remote sensing observations and a machine learning model. The soil samples containing the x and y coordinates, depth and SOC (in g/kg) information were overlaid with the stacked covariates (soil forming factors) to compose the regression matrix. Random forest models were trained using a recursive feature elimination scheme and a cross-validation assessment. The best model was used for spatial prediction of SOC over Canada in intermediate depths between 0 and 1 m (0cm, 5cm, 15cm, 30cm, 60cm, 100cm). Afterwards, the SOC stock of each depth increment was computed using SOC concentration and bulk density maps, and corrected with coarse fragment information. The depth increments have been added to compose the 0-30cm and 0-1m depth intervals multiplied by rooting depths fraction to discount shallow soils. Water and ice/snow areas were removed using a mask based on the Land Cover of Canada map. Ground ice in permafrost areas was discounted according to ice abundance using the ground ice map of Canada. The SOC stock uncertainty map is the difference between the first and third quantiles of a quantile regression forest approach of SOC concentration and bulk density prediction (90% confidence interval).", "keywords": ["Canada soil carbon stock", "13. Climate action", "FOS: Agriculture", " forestry and fisheries", "Earth and Environmental Sciences", "soil carbon storage", "Soil Sciences", "Soils", "15. Life on land", "soil carbon stock", "soil carbon density"], "contacts": [{"organization": "Gonsamo, Alemu, Sothe, Camile, Snider, James, Finkelstein, Sarah, Arabian, Joyce, Kurz, Werner,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5683/SP3/D8KCYZ"}, {"rel": "self", "type": "application/geo+json", "title": "10.5683/SP3/D8KCYZ", "name": "item", "description": "10.5683/SP3/D8KCYZ", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5683/SP3/D8KCYZ"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "20.500.11850/504181", "type": "Feature", "geometry": null, "properties": {"updated": "2026-06-27T16:29:49Z", "type": "Journal Article", "created": "2021-08-27", "title": "Soil organic matter turnover rates increase to match increased inputs in grazed grasslands", "description": "Abstract

Managed grasslands have the potential to store carbon (C) and partially mitigate climate change. However, it remains difficult to predict potential C storage under a given soil or management practice. To study C storage dynamics due to long-term (1952\uffe2\uff80\uff932009) phosphorus (P) fertilizer and irrigation treatments in New Zealand grasslands, we measured radiocarbon (14C) in archived soil along with observed changes in C stocks to constrain a compartmental soil model. Productivity increases from P application and irrigation in these trials resulted in very similar C accumulation rates between 1959 and 2009. The \uffe2\uff88\uff8614C changes over the same time period were similar in plots that were both irrigated and fertilized, and only differed in a non-irrigated fertilized plot. Model results indicated that decomposition rates of fast cycling C (0.1 to 0.2\uffc2\uffa0year\uffe2\uff88\uff921) increased to nearly offset increases in inputs. With increasing P fertilization, decomposition rates also increased in the slow pool (0.005 to 0.008\uffc2\uffa0year\uffe2\uff88\uff921). Our findings show sustained, significant (i.e. greater than 4 per mille) increases in C stocks regardless of treatment or inputs. As the majority of fresh inputs remain in the soil for less than 10\uffc2\uffa0years, these long term increases reflect dynamics of the slow pool. Additionally, frequent irrigation was associated with reduced stocks and increased decomposition of fresh plant material. Rates of C gain and decay highlight trade-offs between productivity, nutrient availability, and soil C sequestration as a climate change mitigation strategy.