Soil microorganisms and their diversity are important bioindicators of soil carbon and nutrient cycling. Land use type is a major determining factor that influences soil microbial community composition in floodplain ecosystems. However, how the structure and diversity of soil microbial communities respond to specific changes in land use, as well as the main drivers of these changes, are still unclear. This study was conducted in the Yellow River floodplain to examine the effects of land use type on soil microbial communities. Four land use types (shrubland, farmland, grassland and forest) were selected, wherein shrubland served as the baseline. We measured soil microbial structure and diversity using phospholipid fatty acids (PLFAs). Land use type significantly affected total, bacterial and fungal PLFAs, and the gram-positive/negative bacterial PLFAs. Compared with shrubland, peanut farmland had higher total and bacterial PLFAs and forest had higher fungal PLFAs. Soil pH and phosphorus were the predominate drivers of microbial PLFAs, explaining 37% and 26% of the variability, respectively. Soil total nitrogen and nitrate nitrogen were the main factors increasing microbial community diversity. Peanut farmland had the highest soil carbon content, soil carbon stock, total PLFAs and microbial diversity, suggesting that farmland has great potential as a carbon sink. Our findings indicated that peanut farmland in the Yellow River floodplain is critical for maintaining soil microbial communities and soil carbon sequestration.
Organic farming (OF) enhances top soil organic carbon (SOC) stocks in croplands compared with conventional farming (CF), which can contribute to sequester C. As farming system differences in the amount of C inputs to soil (e.g. fertilization and crop residues) are not enough to explain such increase, shifts in crop residue traits important for soil C losses such as litter decomposition may also play a role.
To assess whether crop residue (leaf and root) traits determined SOC sequestration responses to OF, we coupled a global meta\uffe2\uff80\uff90analysis with field measurements across a European\uffe2\uff80\uff90wide network of sites. In the meta\uffe2\uff80\uff90analysis, we related crop species averages of leaf N, leaf\uffe2\uff80\uff90dry matter content, fine\uffe2\uff80\uff90root C and N, with SOC stocks and sequestration responses in OF vs. CF. Across six European sites, we measured the management\uffe2\uff80\uff90induced changes in SOC stocks and leaf litter traits after long\uffe2\uff80\uff90term ecological intensive (e.g. OF) vs. CF comparisons.
Our global meta\uffe2\uff80\uff90analysis showed that the positive OF\uffe2\uff80\uff90effects on soil respiration, SOC stocks, and SOC sequestration rates were significant even in organic farms with low manure application rates. Although fertilization intensity was the main driver of OF\uffe2\uff80\uff90effects on SOC, leaf and root N concentrations also played a significant role. Across the six European sites, changes towards higher leaf litter N in CF also promoted lower SOC stocks.
Our results highlight that crop species displaying traits indicative of resource\uffe2\uff80\uff90acquisitive strategies (e.g. high leaf and root N) increase the difference in SOC between OF and CF. Indeed, changes towards higher crop residue decomposability was related with decreased SOC stocks under CF across European sites.
Synthesis and applications. Our study emphasizes that, with management, changes in crop residue traits contribute to the positive effects of organic farming (OF) on soil carbon sequestration. These results provide a clear message to land managers: the choice of crop species, and more importantly their functional traits (e.g. leave and root nitrogen), should be considered in addition to management practices and climate, when evaluating the potential of OF for climate change mitigation.
", "keywords": ["SOC sequestration", "0301 basic medicine", "Organic farming", "Resource economics traits", "Soil Science", "Ecological intensification", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "Markvetenskap", "630", "Soil quality", "climate change mitigation", "Climate change mitigation", "03 medical and health sciences", "ecological intensification", "organic farming", "[SDE.ES] Environmental Sciences/Environment and Society", "Crop residue", "soil carbon stocks", "'Organics' in general", "[SDE.ES]Environmental Sciences/Environment and Society", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "580", "2. Zero hunger", "leaf nitrogen", "04 agricultural and veterinary sciences", "15. Life on land", "resource economics traits", "meta-analysis", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "Meta-analysis", "crop residue", "13. Climate action", "crop traits", "0401 agriculture", " forestry", " and fisheries", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "Leaf nitrogen", "Soil carbon stocks"]}, "links": [{"href": "https://doi.org/10.1111/1365-2664.13113"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Applied%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/1365-2664.13113", "name": "item", "description": "10.1111/1365-2664.13113", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/1365-2664.13113"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-15T00:00:00Z"}}, {"id": "10.1111/j.1365-2486.2012.02657.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:37Z", "type": "Journal Article", "created": "2012-07-10", "title": "Variation In Soil Carbon Stocks And Their Determinants Across A Precipitation Gradient In West Africa", "description": "AbstractWe examine the influence of climate, soil properties and vegetation characteristics on soil organic carbon (SOC) along a transect of West African ecosystems sampled across a precipitation gradient on contrasting soil types stretching from Ghana (15\uffc2\uffb0N) to Mali (7\uffc2\uffb0N). Our findings derive from a total of 1108 soil cores sampled over 14 permanent plots. The observed pattern in SOC stocks reflects the very different climatic conditions and contrasting soil properties existing along the latitudinal transect. The combined effects of these factors strongly influence vegetation structure. SOC stocks in the first 2\uffc2\uffa0m of soil ranged from 20\uffc2\uffa0Mg\uffc2\uffa0C\uffc2\uffa0ha\uffe2\uff88\uff921 for a Sahelian savanna in Mali to over 120\uffc2\uffa0Mg\uffc2\uffa0C\uffc2\uffa0ha\uffe2\uff88\uff921 for a transitional forest in Ghana. The degree of interdependence between soil bulk density (SBD) and soil properties is highlighted by the strong negative relationships observed between SBD and SOC (r2\uffc2\uffa0>\uffc2\uffa00.84). A simple predictive function capable of encompassing the effect of climate, soil properties and vegetation type on SOC stocks showed that available water and sand content taken together could explain 0.84 and 0.86 of the total variability in SOC stocks observed to 0.3 and 1.0\uffc2\uffa0m depth respectively. Used in combination with a suitable climatic parameter, sand content is a good predictor of SOC stored in highly weathered dry tropical ecosystems with arguably less confounding effects than provided by clay content. There was an increased contribution of resistant SOC to the total SOC pool for lower rainfall soils, this likely being the result of more frequent fire events in the grassier savannas of the more arid regions. This work provides new insights into the mechanisms determining the distribution of carbon storage in tropical soils and should contribute significantly to the development of robust predictive models of biogeochemical cycling and vegetation dynamics in tropical regions.
", "keywords": ["550", "Tropical ecosystems", "biotic controls", "West africa", "01 natural sciences", "forest soils", "land-use change", "Precipitation gradient", "Soil bulk density", "senegal", "cycle feedback", "Life Science", "Resistant organic carbon", "organic-matter", "0105 earth and related environmental sciences", "2. Zero hunger", "info:eu-repo/classification/ddc/550", "savanna soils", "ddc:550", "Soil organic carbon", "sequestration", "04 agricultural and veterinary sciences", "15. Life on land", "stabilization", "Earth sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "texture", "Soil carbon stocks"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-2486.2012.02657.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2486.2012.02657.x", "name": "item", "description": "10.1111/j.1365-2486.2012.02657.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2012.02657.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-03-02T00:00:00Z"}}, {"id": "10.1590/s0100-06832009000600009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:22Z", "type": "Journal Article", "created": "2010-02-11", "title": "Carbon Content In Amazonian Oxisols After Forest Conversion To Pasture", "description": "Soil plays an important role in the C cycle, and substitution of tropical forest by cultivated land affects C dynamic and stock. This study was developed in an area of expansion of human settlement in the Eastern Amazon, in Itupiranga, State of Par\uffc3\uffa1, to evaluate the effects of native forest conversion to Brachiaria brizantha pasture on C contents of a dystrophic Oxisol. Soil samples were collected in areas of native forest (NF), of 8 to 10 year old secondary forest (SF), 1 to 2 year old SF (P1-2), 5 to 7 year old SF (P5-7), and of 10 to 12 year old SF (P10-12), and from under pastures, in the layers 0-2, 2-5 and 5-10 cm, to evaluate C levels and stocks and carry out separation of OM based on particle size. After deforestation, soil density increased to a depth of 5 cm, with greater increase in older pastures. Variation in C levels was greatest in the top soil layer; C contents increased with increasing pasture age. In the layers 2-5 and 5-10 cm, C content proved to be stable for the types of plant cover evaluated. Highest C concentrations were found in the silt fraction; however, C contents were highest in the clay fraction, independent of the plant cover. An increase in C associated with the sand fraction in the form of little decomposed organic residues was observed in pastures, confirming greater sensitivity of this fraction to change in soil use.
", "keywords": ["estoque de carbono no solo", "550", "floresta amaz\u00f4nica", "particle-size fractions", "tropical soil", "0401 agriculture", " forestry", " and fisheries", "Amazon rain forest", "fracionamento granulom\u00e9trico", "solo tropical", "04 agricultural and veterinary sciences", "15. Life on land", "630", "soil carbon stock"], "contacts": [{"organization": "Silva da, M. L., /Desjardins, Thierry, /Sarrazin, Max, Melo de, V. S., Martins, P. F. D., Santos, E. R., Carvalho de, C. J. R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1590/s0100-06832009000600009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Revista%20Brasileira%20de%20Ci%C3%AAncia%20do%20Solo", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1590/s0100-06832009000600009", "name": "item", "description": "10.1590/s0100-06832009000600009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1590/s0100-06832009000600009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-12-01T00:00:00Z"}}, {"id": "10.5061/dryad.4qrfj6qg2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:53Z", "type": "Dataset", "created": "2023-07-07", "title": "Depth-dependent effects of Ericoid Mycorrhizal shrubs on soil carbon and nitrogen pools are accentuated under Arbuscular Mycorrhizal Trees", "description": "unspecifiedWe worked in a 3,213-ha second-growth, mixed-hardwood forest in Connecticut, USA (41\u00b057\u2019 N, 72\u00b007\u2019 W). We established 18 10-m radius plots, each containing a pair of 1-m radius subplots (n =36), evenly arrayed across three forest stands that contained areas of both high AM and high EcM tree relative basal area as well as a patchy distribution of the ErM shrub Kalmia latifolia.\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0 \u00a0 Within each of the 18 plots, we established paired 1-m radius subplots with and without K. latifolia in the understory ( \u201c+/- ErM subplot\u201d) within 2 m of the center of the 10-m radius plot. In each 1-m radius subplot, we measured trees \u22651 cm diameter at breast height (DBH; 1.37 m). We also measured DBH of all trees \u226520 cm DBH within 10 m and trees \u22655 cm DBH within 5 m of plot center. We calculated the percentage of EcM tree basal area out of total basal area, scaled to m2 ha-1. \u00a0 In June 2021, we collected and pooled two soil samples for each of three depths within the 36 paired subplots (i.e. 18 +ErM and 18 -ErM subplots). The three depths included: (1) the Oa horizon (depth varied depending on the thickness of the horizon); (2) the top 10 cm of the A horizon, beginning at the base of the Oa horizon; and (3) a second, contiguous A horizon sample that reached a cumulative sampling depth of 30 cm, inclusive of the depth of the Oa horizon. For the organic layer, we removed the litter layer (i.e. the Oi and Oe horizons) and collected and pooled two 25 by 25-cm areas of the Oa horizon using a square template. For the mineral layers, we collected two contiguous depth increments from the A horizon within the footprint of the 25 by 25-cm areas using a 5.08-cm diameter hammer corer. In each instance, we recorded the exact sampling depth. Two subplots did not have an Oa horizon, so we collected a total of 106 samples (3 sites \u00d7 6 plots \u00d7 2 subplots \u00d7 3 depths \u2212 2 Oa samples). Soils were stored at 4\u00b0C prior to their analysis. \u00a0 To prepare the soil samples for analysis, we weighed and homogenized each sample, air dried a representative subsample of non-sieved soil, and passed the remaining field-moist sample through a 4-mm sieve. Using the non-sieved subsample, we estimated the mass and volume of roots and stones and calculated soil bulk density values. For total soil organic matter (SOM) content, we heated samples at 550\u00b0C for 12-h in a muffle furnace and calculated loss on ignition. \u00a0 We used a modified substrate-induced respiration method as an indicator of active saprotrophic microbial biomass. Using autolyzed yeast extract solution as a labile C substrate, we measured rates of CO2 efflux over a 4-h incubation period with an Infra-Red Gas Analyzer and calculated the rate of C-CO2 production per unit of equivalent soil dry mass. For microbially-available C, we estimated potential CO2 production rates over a 14-d incubation period. We measured CO2 efflux over 24-h periods at days 1, 5, 8, and 14 and integrated the four measurements to calculate cumulative C-CO2 production. We estimated water holding capacity by saturating each field-moist sample with water and allowing it to drain freely for 2 h. To calculate the equivalent dry mass of field-moist samples, we measured gravimetric water content by oven-drying the samples to constant mass at 105\u00b0C. \u00a0 We separated the >53 and <53\u2009\u00b5m particle size fractions to quantify particulate (POM) and mineral-associated soil organic matter fractions. We passed air-dried samples through a 2-mm sieve and then dispersed soil aggregates by shaking ~30 g of the sieved, air-dried sample with 30\u2009mL of sodium hexametaphosphate (NaHMP) solution for 18 h. We rinsed each sample over a 53-\u00b5m sieve with deionized water until the water passing through the sieve ran clear. We oven-dried the >53-\u00b5m fraction retained on the top of the sieve and a representative subsample of the <53-\u00b5m fraction suspended in solution at 70\u00b0C. To estimate the mass of the <53-\u00b5m fraction, we calculated the difference between the initial soil mass (105\u00b0C equivalent) and the recovered mass of the >53-\u00b5m fraction (105\u00b0C equivalent). To convert air-dried soil mass to oven-dried mass we dried a subsample of each air-dried sample at 105\u00b0C. Fractions were ground to a fine powder and analyzed for total carbon (C) and nitrogen (N) concentrations using a Costech ESC 4010 Elemental Analyzer. \u00a0 We used an equivalent soil mass approach to calculate soil C, N, SOM, microbial biomass, and microbially-available C stocks in three equivalent soil mass layers as well as the sum of the three layers to estimate cumulative stocks at the subplot level. Following this approach, we report stocks to a standard soil mass and therefore allow the depth of the equivalent soil mass layers to vary depending on soil bulk density. To calculate equivalent soil mass stocks, we added or subtracted elemental stocks of the deeper soil layer to the upper soil layer in 1-mm increments until the soil mass from the upper layer is closest to that of the target soil mass. We chose reference soil masses using the median or target field sampling depth and the mean bulk density value for each of the three depth increments to make them roughly equivalent to the sampled depths. Based on this method, the organic layer had an equivalent mass of ~2.5 kg soil m-2 (median Oa depth = 2.5 cm; mean Oa bulk density = 0.10 g cm-3), the surface mineral layer had an equivalent mass of ~37 kg soil m-2 (target sampling depth = 10 cm; mean bulk density = 0.37 g cm-3), and the subsurface mineral layer had an equivalent mass of ~126 kg soil m-2 (the target sampling depth was 17.5 cm for a sample with a 2.5 cm Oa depth; mean bulk density = 0.72 g cm-3). The cumulative equivalent soil mass for the subplot-level stocks was the sum of the three layers, or ~166 kg soil m-2.", "keywords": ["equivalent soil mass", "ericoid mycorrhizal fungi", "13. Climate action", "ectomycorrhizal fungi", "Particulate organic matter", "FOS: Biological sciences", "soil nitrogen", "Arbuscular mycorrhizal fungi", "Mineral-associated organic matter", "soil carbon stocks", "15. Life on land"], "contacts": [{"organization": "Ward, Elisabeth", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.4qrfj6qg2"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.4qrfj6qg2", "name": "item", "description": "10.5061/dryad.4qrfj6qg2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.4qrfj6qg2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-12T00:00:00Z"}}, {"id": "10.5061/dryad.rn8pk0ph5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:01Z", "type": "Dataset", "title": "Drivers of soil organic carbon stock during tropical forest succession", "description": "Soil organic matter contributes to productivity in terrestrial ecosystems and contains more carbon than is found in the atmosphere. Yet, there is little understanding of soil organic carbon (SOC) sequestration processes during tropical forest succession, particularly after land abandonment from agriculture practices. Here we used vegetation and environmental data from two large-scale surveys covering a total landscape area of 20,000 ha in Southeast Asia to investigate the effects of plant species diversity, functional trait diversity, phylogenetic diversity, aboveground biomass, and environmental factors on SOC sequestration during forest succession. We found that functional trait diversity plays an important role in determining SOC sequestration across successional trajectories. Increases in SOC carbon storage were associated with indirect positive effects of species diversity and succession age via functional trait diversity, but phylogenetic diversity and aboveground biomass showed no significant relationship with SOC stock. Furthermore, the effects of soil properties and functional trait diversity on SOC carbon storage shift across elevation. Synthesis: Our results suggest that reforestation and restoration management practices that implement a trait-based approach by combining long-lived and short-lived species (conservative and acquisitive traits) to increase plant functional diversity could enhance SOC sequestration for climate change mitigation and adaptation efforts, as well as accelerate recovery of healthy soils.", "keywords": ["2. Zero hunger", "tropical forest", "FOS: Agriculture", " forestry", " and fisheries", "15. Life on land", "forest soil", "functional diversity", "plant diversity", "swidden agriculture", "soil organic carbon", "13. Climate action", "forest succession", "functional traits", "tropical forest ecology", "soil carbon stock"]}, "links": [{"href": "https://doi.org/10.5061/dryad.rn8pk0ph5"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.rn8pk0ph5", "name": "item", "description": "10.5061/dryad.rn8pk0ph5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.rn8pk0ph5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-26T00:00:00Z"}}, {"id": "10.5281/zenodo.15203559", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-05-24T16:22:14Z", "type": "Dataset", "title": "Pyrogenic carbon contribution to tropical savanna soil carbon storage", "description": "Savannas are fire-prone ecosystems that contribute substantially to global burned area and fire emissions, but these emissions may be offset by the deposition of fire-derived, persistent pyrogenic carbon (PyC) in soils. While some estimates of PyC contributions to soil organic carbon (SOC) storage in savanna exist, factors driving its accumulation in soils remain largely unknown due to a lack of measurements with consistent methods in the literature. To address this knowledge gap, we sampled 253 sites at a regional scale across tropical savannas in Kruger National Park, South Africa, covering broad gradients in fire regimes, grass biomass, rainfall, and soil texture. We demonstrate that across these savannas, pyrogenic carbon contributes, on average, 14.08% (se = 0.36%, n = 253) of total SOC storage in surface soils but can reach as high as 40%. While fire frequency and grass biomass affect soil PyC stock, savannas with higher soil clay content and lower rainfall \u2013 conditions that favor PyC preservation \u2013 tend to accumulate more PyC in the soil. These results underscore the significant contribution of PyC to SOC storage in tropical savannas and highlight the environmental factors associated with its accumulation across regional scales, providing an empirical basis for understanding fire\u2019s role in the tropical savanna carbon cycle.", "keywords": ["savanna", "pyrogenic carbon", "soil carbon stock"], "contacts": [{"organization": "Zhou, Yong", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15203559"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15203559", "name": "item", "description": "10.5281/zenodo.15203559", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15203559"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-12T00:00:00Z"}}, {"id": "10.5281/zenodo.15936377", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-05-24T16:22:27Z", "type": "Dataset", "title": "Pyrogenic carbon contribution to tropical savanna soil carbon storage", "description": "Savannas are fire-prone ecosystems that contribute substantially to global burned area and fire emissions, but these emissions may be offset by the deposition of fire-derived, persistent pyrogenic carbon (PyC) in soils. While some estimates of PyC contributions to soil organic carbon (SOC) storage in savanna exist, factors driving its accumulation in soils remain largely unknown due to a lack of measurements with consistent methods in the literature. To address this knowledge gap, we sampled 253 sites at a regional scale across tropical savannas in Kruger National Park, South Africa, covering broad gradients in fire regimes, grass biomass, rainfall, and soil texture. We demonstrate that across these savannas, pyrogenic carbon contributes, on average, 14.08% (se = 0.36%, n = 253) of total SOC storage in surface soils but can reach as high as 40%. While fire frequency and grass biomass affect soil PyC stock, savannas with higher soil clay content and lower rainfall \u2013 conditions that favor PyC preservation \u2013 tend to accumulate more PyC in the soil. These results underscore the significant contribution of PyC to SOC storage in tropical savannas and highlight the environmental factors associated with its accumulation across regional scales, providing an empirical basis for understanding fire\u2019s role in the tropical savanna carbon cycle.", "keywords": ["savanna", "pyrogenic carbon", "soil carbon stock"], "contacts": [{"organization": "Zhou, Yong", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15936377"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15936377", "name": "item", "description": "10.5281/zenodo.15936377", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15936377"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-12T00:00:00Z"}}, {"id": "10.5281/zenodo.6397568", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:44Z", "type": "Dataset", "title": "Maps of soil organic carbon stocks in Brazil", "description": "Open AccessThis database was created by Gustavo Vieira Veloso and Lucas Carvalho Gomes 04/06/2022.