{"type": "FeatureCollection", "features": [{"id": "10.1016/j.epsl.2017.04.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:07Z", "type": "Journal Article", "created": "2017-04-14", "title": "The origin of volatile element depletion in early solar system material: Clues from Zn isotopes in chondrules", "description": "Abstract   Volatile lithophile elements are depleted in the different planetary materials to various degrees, but the origin of these depletions is still debated. Stable isotopes of moderately volatile elements such as Zn can be used to understand the origin of volatile element depletions. Samples with significant volatile element depletions, including the Moon and terrestrial tektites, display heavy Zn isotope compositions (i.e. enrichment of 66Zn vs. 64Zn), consistent with kinetic Zn isotope fractionation during evaporation. However,  Luck et al. (2005)  found a negative correlation between      \u03b4    66     Zn and 1/[Zn] between CI, CM, CO, and CV chondrites, opposite to what would be expected if evaporation caused the Zn abundance variations among chondrite groups.  We have analyzed the Zn isotope composition of multiple samples of the major carbonaceous chondrite classes: CI (1), CM (4), CV (2), CO (4), CB (2), CH (2), CK (4), and CK/CR (1). The bulk chondrites define a negative correlation in a plot of      \u03b4    66     Zn vs 1/[Zn], confirming earlier results that Zn abundance variations among carbonaceous chondrites cannot be explained by evaporation. Exceptions are CB and CH chondrites, which display Zn systematics consistent with a collisional formation mechanism that created enrichment in heavy Zn isotopes relative to the trend defined by CI\u2013CK.  We further report Zn isotope analyses of chondrite components, including chondrules from Allende (CV3) and Mokoia (CV3), as well as an aliquot of Allende matrix. All chondrules are enriched in light Zn isotopes (\u223c500 ppm on 66Zn/64Zn) relative to the bulk, contrary to what would be expected if Zn were depleted during evaporation, on the other hand the matrix has a complementary heavy isotope composition. We report sequential leaching experiments in un-equilibrated ordinary chondrites, which show sulfides are isotopically heavy compared to silicates and the bulk meteorite by ca. +0.65 per mil on 66Zn/64Zn. We suggest isotopically heavy sulfides were removed from either chondrules or their precursors, thereby producing the light Zn isotope enrichments in chondrules.", "keywords": ["chondrules", "550", "protoplanetary disk", "551", "carbonaceous chondrites", "01 natural sciences", "volatiles", "[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology", "[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "13. Climate action", "[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry", "[SDU.STU.PL] Sciences of the Universe [physics]/Earth Sciences/Planetology", "zinc isotopes", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.epsl.2017.04.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20and%20Planetary%20Science%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.epsl.2017.04.002", "name": "item", "description": "10.1016/j.epsl.2017.04.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.epsl.2017.04.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-06-01T00:00:00Z"}}, {"id": "10.1038/srep06365", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:38Z", "type": "Journal Article", "created": "2014-09-15", "title": "Earthworms increase plant production: a meta-analysis", "description": "To meet the challenge of feeding a growing world population with minimal environmental impact, we need comprehensive and quantitative knowledge of ecological factors affecting crop production. Earthworms are among the most important soil dwelling invertebrates. Their activity affects both biotic and abiotic soil properties, in turn affecting plant growth. Yet, studies on the effect of earthworm presence on crop yields have not been quantitatively synthesized. Here we show, using meta-analysis, that on average earthworm presence in agroecosystems leads to a 25% increase in crop yield and a 23% increase in aboveground biomass. The magnitude of these effects depends on presence of crop residue, earthworm density and type and rate of fertilization. The positive effects of earthworms become larger when more residue is returned to the soil, but disappear when soil nitrogen availability is high. This suggests that earthworms stimulate plant growth predominantly through releasing nitrogen locked away in residue and soil organic matter. Our results therefore imply that earthworms are of crucial importance to decrease the yield gap of farmers who can't -or won't- use nitrogen fertilizer.", "keywords": ["Crops", " Agricultural", "agroecosystems", "Nitrogen", "growth", "n pools", "01 natural sciences", "nitrogen", "Article", "Animals", "Biomass", "soil carbon", "Oligochaeta", "Ecosystem", "agriculture", "0105 earth and related environmental sciences", "2. Zero hunger", "tolerance", "04 agricultural and veterinary sciences", "15. Life on land", "Carbon", "communities", "13. Climate action", "8. Economic growth", "0401 agriculture", " forestry", " and fisheries", "ecosystem services", "management"]}, "links": [{"href": "https://doi.org/10.1038/srep06365"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/srep06365", "name": "item", "description": "10.1038/srep06365", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/srep06365"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-09-15T00:00:00Z"}}, {"id": "10.1071/sr13043", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:50Z", "type": "Journal Article", "created": "2013-12-20", "title": "Impact Of Carbon Farming Practices On Soil Carbon In Northern New South Wales", "description": "<p>This study sought to quantify the influence of \uffe2\uff80\uff98carbon farming\uffe2\uff80\uff99 practices on soil carbon stocks, in comparison with conventional grazing and cropping, in northern New South Wales. The study had two components: assessment of impacts of organic amendments on soil carbon and biological indicators in croplands on Vertosols of the Liverpool Plains; and assessment of the impact of grazing management on soil carbon in Chromosols of the Northern Tablelands. The organic amendment sites identified for the survey had been treated with manures, composts, or microbial treatments, while the conventional management sites had received only chemical fertilisers. The rotational grazing sites had been managed so that grazing was restricted to short periods of several days, followed by long rest periods (generally several months) governed by pasture growth. These were compared with sites that were grazed continuously. No differences in total soil carbon stock, or soil carbon fractions, were observed between sites treated with organic amendments and those treated with chemical fertiliser. There was some evidence of increased soil carbon stock under rotational compared with continuous grazing, but the difference was not statistically significant. Similarly, double-stranded DNA (dsDNA) stocks were not significantly different in either of the management contrasts, but tended to show higher values in organic treatments and rotational grazing. The enzymatic activities of \uffce\uffb2-glucosidase and leucine-aminopeptidase were significantly higher in rotational than continuous grazing but statistically similar for the cropping site treatments. Relative abundance and community structure, measured on a subset of the cropping sites, showed a higher bacteria\uffe2\uff80\uff89:\uffe2\uff80\uff89fungi ratio and provided evidence that microbial process rates were significantly higher in chemically fertilised sites than organic amendment sites, suggesting enhanced mineralisation of organic matter under conventional management. The higher enzyme activity and indication of greater efficiency of microbial populations on carbon farming sites suggests a greater potential to build soil carbon under these practices. Further research is required to investigate whether the indicative trends observed reflect real effects of management.</p>", "keywords": ["2. Zero hunger", "Land Capability and Soil Degradation", "550", "XXXXXX - Unknown", "0401 agriculture", " forestry", " and fisheries", "Carbon Sequestration Science", "04 agricultural and veterinary sciences", "15. Life on land", "Land capability and soil productivity"]}, "links": [{"href": "https://doi.org/10.1071/sr13043"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1071/sr13043", "name": "item", "description": "10.1071/sr13043", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1071/sr13043"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-01T00:00:00Z"}}, {"id": "10.1111/gcb.12819", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:26Z", "type": "Journal Article", "created": "2014-12-05", "title": "Soil Warming And Co2 Enrichment Induce Biomass Shifts In Alpine Tree Line Vegetation", "description": "Abstract<p>Responses of alpine tree line ecosystems to increasing atmospheric CO2 concentrations and global warming are poorly understood. We used an experiment at the Swiss tree line to investigate changes in vegetation biomass after 9\uffc2\uffa0years of free air CO2 enrichment (+200\uffc2\uffa0ppm; 2001\uffe2\uff80\uff932009) and 6\uffc2\uffa0years of soil warming (+4\uffc2\uffa0\uffc2\uffb0C; 2007\uffe2\uff80\uff932012). The study contained two key tree line species, Larix decidua and Pinus uncinata, both approximately 40\uffc2\uffa0years old, growing in heath vegetation dominated by dwarf shrubs. In 2012, we harvested and measured biomass of all trees (including root systems), above\uffe2\uff80\uff90ground understorey vegetation and fine roots. Overall, soil warming had clearer effects on plant biomass than CO2 enrichment, and there were no interactive effects between treatments. Total plant biomass increased in warmed plots containing Pinus but not in those with Larix. This response was driven by changes in tree mass (+50%), which contributed an average of 84% (5.7\uffc2\uffa0kg\uffc2\uffa0m\uffe2\uff88\uff922) of total plant mass. Pinus coarse root mass was especially enhanced by warming (+100%), yielding an increased root mass fraction. Elevated CO2 led to an increased relative growth rate of Larix stem basal area but no change in the final biomass of either tree species. Total understorey above\uffe2\uff80\uff90ground mass was not altered by soil warming or elevated CO2. However, Vaccinium myrtillus mass increased with both treatments, graminoid mass declined with warming, and forb and nonvascular plant (moss and lichen) mass decreased with both treatments. Fine roots showed a substantial reduction under soil warming (\uffe2\uff88\uff9240% for all roots &lt;2\uffc2\uffa0mm in diameter at 0\uffe2\uff80\uff9320\uffc2\uffa0cm soil depth) but no change with CO2 enrichment. Our findings suggest that enhanced overall productivity and shifts in biomass allocation will occur at the tree line, particularly with global warming. However, individual species and functional groups will respond differently to these environmental changes, with consequences for ecosystem structure and functioning.</p>", "keywords": ["0106 biological sciences", "2. Zero hunger", "Models", " Statistical", "Temperature", "Larix", "Carbon Dioxide", "15. Life on land", "Pinus", "Global Warming", "01 natural sciences", "Soil", "Species Specificity", "13. Climate action", "Biomass", "Tundra", "Switzerland"]}, "links": [{"href": "https://doi.org/10.1111/gcb.12819"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.12819", "name": "item", "description": "10.1111/gcb.12819", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.12819"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-30T00:00:00Z"}}, {"id": "10.1111/gcbb.12255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:30Z", "type": "Journal Article", "created": "2015-02-19", "title": "Bioenergy Harvest, Climate Change, And Forest Carbon In The Oregon Coast Range", "description": "Abstract<p>Forests provide important ecological, economic, and social services, and recent interest has emerged in the potential for using residue from timber harvest as a source of renewable woody bioenergy. The long\uffe2\uff80\uff90term consequences of such intensive harvest are unclear, particularly as forests face novel climatic conditions over the next century. We used a simulation model to project the long\uffe2\uff80\uff90term effects of management and climate change on above\uffe2\uff80\uff90 and belowground forest carbon storage in a watershed in northwestern Oregon. The multi\uffe2\uff80\uff90ownership watershed has a diverse range of current management practices, including little\uffe2\uff80\uff90to\uffe2\uff80\uff90no harvesting on federal lands, short\uffe2\uff80\uff90rotation clear\uffe2\uff80\uff90cutting on industrial land, and a mix of practices on private nonindustrial land. We simulated multiple management scenarios, varying the rate and intensity of harvest, combined with projections of climate change. Our simulations project a wide range of total ecosystem carbon storage with varying harvest rate, ranging from a 45% increase to a 16% decrease in carbon compared to current levels. Increasing the intensity of harvest for bioenergy caused a 2\uffe2\uff80\uff933% decrease in ecosystem carbon relative to conventional harvest practices. Soil carbon was relatively insensitive to harvest rotation and intensity, and accumulated slowly regardless of harvest regime. Climate change reduced carbon accumulation in soil and detrital pools due to increasing heterotrophic respiration, and had small but variable effects on aboveground live carbon and total ecosystem carbon. Overall, we conclude that current levels of ecosystem carbon storage are maintained in part due to substantial portions of the landscape (federal and some private lands) remaining unharvested or lightly managed.\uffc2\uffa0Increasing the intensity of harvest for bioenergy on currently harvested land, however,\uffc2\uffa0led to a relatively small reduction in the ability of forests to store carbon. Climate change is unlikely to substantially alter carbon storage in these forests, absent shifts in disturbance regimes.</p>", "keywords": ["0106 biological sciences", "Carbon dioxide mitigation", "Forest ecology -- Oregon -- Oregon Coast Range", "Forest biomass", "13. Climate action", "Carbon cycle (Biogeochemistry)", "Biomass energy", "Forest Biology", "15. Life on land", "01 natural sciences", "7. Clean energy", "Climatic change", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/gcbb.12255"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcbb.12255", "name": "item", "description": "10.1111/gcbb.12255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-25T00:00:00Z"}}, {"id": "10.1111/sum.12198", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:49Z", "type": "Journal Article", "created": "2015-07-31", "title": "Long-Term Effects Of Tillage, Nutrient Application And Crop Rotation On Soil Organic Matter Quality Assessed By Nmr Spectroscopy", "description": "Abstract<p>Crop and land management practices affect both the quality and quantity of soil organic matter (SOM) and hence are driving forces for soil organic carbon (SOC) sequestration. The objective of this study was to assess the long\uffe2\uff80\uff90term effects of tillage, fertilizer application and crop rotation onSOCin an agricultural area of southern Norway, where a soil fertility and crop rotation experiment was initiated in 1953 and a second experiment on tillage practices was initiated in 1983. The first experiment comprised 6\uffe2\uff80\uff90yr crop rotations with cereals only and 2\uffe2\uff80\uff90yr cereal and 4\uffe2\uff80\uff90yr grass rotations with recommended (base) and more than the recommended (above base) fertilizer application rates; the second experiment dealt with autumn\uffe2\uff80\uff90ploughed (conventional\uffe2\uff80\uff90till) plots and direct\uffe2\uff80\uff90drilled plots (no\uffe2\uff80\uff90till). Soil samples at 0\uffe2\uff80\uff9310 and 10\uffe2\uff80\uff9330\uffc2\uffa0cm depths were collected in autumn 2009 and analysed for their C and N contents. The quality ofSOMin the top layer was determined by13C solid\uffe2\uff80\uff90stateNMRspectroscopy. TheSOCstock did not differ significantly because of rotation or fertilizer application types, even after 56\uffc2\uffa0yr. However, the no\uffe2\uff80\uff90till system showed a significantly higherSOCstock than the conventional\uffe2\uff80\uff90till system at the 0\uffe2\uff80\uff9310\uffc2\uffa0cm depth after the 26\uffc2\uffa0yr of experiment, but it was not significantly different at the 10\uffe2\uff80\uff9330\uffc2\uffa0cm depth. In terms of quality,SOMwas found to differ by tillage type, rate of fertilizer application and crop rotation. The no\uffe2\uff80\uff90till system showed an abundance of O\uffe2\uff80\uff90alkyl C, while conventional\uffe2\uff80\uff90till system indicated an apparently indirect enrichment in alkyl C, suggesting a more advanced stage ofSOMdecomposition. The long\uffe2\uff80\uff90term quantitative and qualitative effects onSOMsuggest that adopting a no\uffe2\uff80\uff90tillage system and including grass in crop rotation and farmyard manure in fertilizer application may contribute to preserve soil fertility and mitigate climate change.</p>", "keywords": ["Fertilizer application", "2. Zero hunger", "Crop rotation", " fertilizer application", " soil organic carbon (SOC)", " soil organic matter (SOM)", " tillage", " NMR spectroscopy.", "NMR spectroscopy", "Crop rotation", "Soil organic matter (SOM)", "13. Climate action", "Soil organic carbon (SOC)", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Tillage"]}, "links": [{"href": "https://doi.org/10.1111/sum.12198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Use%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/sum.12198", "name": "item", "description": "10.1111/sum.12198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/sum.12198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-07-31T00:00:00Z"}}, {"id": "10138/578894", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:44Z", "type": "Journal Article", "created": "2024-05-31", "title": "Comparison between lower-cost and conventional eddy covariance setups for CO2 and evapotranspiration measurements above monocropping and agroforestry systems", "description": "Open AccessPeer reviewed", "keywords": ["Physical sciences", "Evapotranspiration", "Lower-cost eddy covariance", "Carbon dioxide flux", "Agroforestry", "Gas analyzer"]}, "links": [{"href": "https://doi.org/10138/578894"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/578894", "name": "item", "description": "10138/578894", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/578894"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-01T00:00:00Z"}}, {"id": "10.1590/s0100-06832009000100016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:19:21Z", "type": "Journal Article", "created": "2009-03-11", "title": "Atributos F\u00edsicos, Qu\u00edmicos E Biol\u00f3gicos De Solo De Cerrado Sob Diferentes Sistemas De Uso E Manejo", "description": "<p>\uffc3\uff80 medida que o conhecimento do sistema plantio direto se amplia, verifica-se que o uso de indicadores qu\uffc3\uffadmicos isolados n\uffc3\uffa3o permite melhor caracteriza\uffc3\uffa7\uffc3\uffa3o dos solos, sendo necess\uffc3\uffa1rio utilizar um conjunto de indicadores da qualidade do solo com a entrada de outros atributos, entre eles os f\uffc3\uffadsicos e os biol\uffc3\uffb3gicos. Objetivou-se avaliar os efeitos de sistemas de manejo e uso do solo nos atributos f\uffc3\uffadsicos, qu\uffc3\uffadmicos e biol\uffc3\uffb3gicos de um Latossolo Vermelho distr\uffc3\uffb3fico e um Neossolo Quartzar\uffc3\uffaanico \uffc3\uffb3rtico sob Cerrado, no entorno do Parque Nacional das Emas. Os aspectos avaliados no Latossolo foram: Cerrado nativo, pastagem, milheto em preparo convencional, nabo forrageiro em plantio direto e sorgo em plantio direto. No Neossolo: Cerrado nativo, pastagem nativa, integra\uffc3\uffa7\uffc3\uffa3o agricultura-pecu\uffc3\uffa1ria, pastagem cultivada, plantio direto com soja no ver\uffc3\uffa3o e plantio direto com milho no ver\uffc3\uffa3o. As amostras de solo foram coletadas na profundidade de 0 a 10 cm. O delineamento experimental foi o inteiramente casualizado, com cinco parcelas de 150 m\uffc2\uffb2, sendo coletadas 10 subamostras aleat\uffc3\uffb3rias. As an\uffc3\uffa1lises qu\uffc3\uffadmicas, f\uffc3\uffadsicas e biol\uffc3\uffb3gicas foram realizadas no Laborat\uffc3\uffb3rio de Solos da UFG/CJ. Os manejos promoveram altera\uffc3\uffa7\uffc3\uffb5es na densidade do solo, volume total de poros, macroporos e resist\uffc3\uffaancia do solo \uffc3\uffa0 penetra\uffc3\uffa7\uffc3\uffa3o no Neossolo e no Latossolo, excetuando-se neste o volume total de poros. Houve pequena varia\uffc3\uffa7\uffc3\uffa3o nos atributos qu\uffc3\uffadmicos nos dois solos, com o Cerrado apresentando maior acidez potencial e menor teor de c\uffc3\uffa1tions troc\uffc3\uffa1veis e P. Os atributos biol\uffc3\uffb3gicos do solo foram alterados pelos sistemas de manejo, sendo mais prejudicados em sistemas com maior revolvimento do solo. A an\uffc3\uffa1lise can\uffc3\uffb4nica dos dados demonstrou que os atributos f\uffc3\uffadsicos foram os de menor import\uffc3\uffa2ncia por apresentar maior coeficiente de pondera\uffc3\uffa7\uffc3\uffa3o nas vari\uffc3\uffa1veis can\uffc3\uffb4nicas. Os atributos do solo, isoladamente, pouco contribu\uffc3\uffadram para a avalia\uffc3\uffa7\uffc3\uffa3o da qualidade do solo: no entanto, quando se usou a an\uffc3\uffa1lise multivariada, subsidiaram a constata\uffc3\uffa7\uffc3\uffa3o dos manejos do solo mais sustent\uffc3\uffa1veis.</p>", "keywords": ["C fra\u00e7\u00e3o leve", "multivariate analysis", "an\u00e1lise multivariada", "plantio direto", "light carbon fraction", "0401 agriculture", " forestry", " and fisheries", "soil quality", "04 agricultural and veterinary sciences"]}, "links": [{"href": "https://doi.org/10.1590/s0100-06832009000100016"}, {"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/s0100-06832009000100016", "name": "item", "description": "10.1590/s0100-06832009000100016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1590/s0100-06832009000100016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-02-01T00:00:00Z"}}, {"id": "10261/179481", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:46Z", "type": "Journal Article", "created": "2018-07-19", "title": "Molecular Fingerprinting of14C Dated Soil Organic Matter Fractions from Archaeological Settings in NW Spain", "description": "Abstract<p>This paper evaluates the complexities of radiocarbon (14C) dates from soil organic matter (SOM) in archaeological scenarios. The aqueous NaOH-insoluble residual SOM from Neolithic to medieval sites in NW Spain produced consistently older calibrated14C ages than NaOH-extractable SOM. Using pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS) and thermally assisted hydrolysis and methylation (THM-GC-MS), we analyzed the molecular composition of these SOM fractions, aiming to understand the differences in14C ages and to gain insight on SOM dynamics in relation to age fractionation. The molecular composition of the NaOH-extractable SOM, which accounts for roughly two-thirds of total SOM, has a larger proportion of microbial detritus than the NaOH-insoluble SOM. This might suggest that the discrepancies between the two fractions is due to microbial rejuvenation in the extractable fraction, leading to14C results that are younger than the activity that is to be dated. However, archaeological evidence presented here unambiguously shows that the14C age of the extractable SOM provides the more accurate age for the targeted activity, and that the insoluble fraction contains inherited old carbon. After statistical data evaluation using Partial Least Squares-Regression (PLS-R), it is concluded that this inherited SOM is a mixture of Black Carbon from wild and/or domestic fires and recalcitrant aliphatic SOM.</p", "keywords": ["Radiocarbon dating", "Molecular composition", "THM-GC-MS", "SOM fractions", "0601 history and archaeology", "06 humanities and the arts", "15. Life on land", "01 natural sciences", "Py-GC-MS", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10261/179481"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Radiocarbon", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/179481", "name": "item", "description": "10261/179481", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/179481"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-18T00:00:00Z"}}, {"id": "10.3390/microorganisms13040848", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:29Z", "type": "Journal Article", "created": "2025-04-10", "title": "Assessing Microbial Activity and Rhizoremediation in Hydrocarbon and Heavy Metal-Impacted Soil", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Rhizodegradation enhances pollutant degradation through plant\u2013microbe interactions in the rhizosphere. Plant roots provide a colonisation surface and root exudates that promote microbial abundance and activity, facilitating organic pollutant breakdown via direct microbial degradation and co-metabolism. This study assessed the rhizodegradation of weathered petroleum hydrocarbons (PHCs) in heavy metal co-contaminated soil in a microcosm-scale pot trial. Treatments included Sinapis alba, Lolium perenne, a L. perenne + Trifolium repens mix, and Cichorium intybus, alongside a non-planted control. After 14 weeks, PHC concentrations were analysed via gas chromatography, and rhizosphere microbial communities were characterised through sequencing. Sinapis alba achieved the highest PHC degradation (68%), significantly exceeding the non-planted control (p &lt; 0.05, Kruskal\u2013Wallis test). Hydrocarbon-degrading bacteria, including KCM-B-112, C1-B045, Hydrogenophaga, unclassified Saccharimonadales sp., and Pedobacter, were enriched in the rhizosphere, with the uncultured clade mle1-27 potentially contributing indirectly. Metals analysis of plant tissues showed that mustard could accumulate copper more than lead and zinc, despite higher concentrations of zinc and lead in the soil. These results highlight the potential of S. alba for rhizoremediation in PHC\u2013heavy metal co-contaminated soils.</p></article>", "keywords": ["petroleum hydrocarbons", "bioremediation", "QH301-705.5", "microbial communities", "phytoremediation", "Biology (General)", "heavy metals", "rhizodegradation", "Article"], "contacts": [{"organization": "Robert Conlon, David N. Dowling, Kieran J. Germaine,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.3390/microorganisms13040848"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Microorganisms", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/microorganisms13040848", "name": "item", "description": "10.3390/microorganisms13040848", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/microorganisms13040848"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-08T00:00:00Z"}}, {"id": "10.5061/dryad.1v87f", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:52Z", "type": "Dataset", "title": "Data from: Post-fire changes in forest carbon storage over a 300-year chronosequence of Pinus contorta-dominated forests", "description": "unspecifiedA warming climate may increase the frequency and severity of  stand-replacing wildfires, reducing carbon (C) storage in forest  ecosystems. Understanding the variability of post-fire C cycling on  heterogeneous landscapes is critical for predicting changes in C storage  with more frequent disturbance. We measured C pools and fluxes for 77  lodgepole pine (Pinus contorta Dougl. ex Loud var. latifolia Engelm.)  stands in and around Yellowstone National Park (YNP) along a 300-year  chronosequence to examine how quickly forest C pools recover after a  stand-replacing fire, their variability through time across a complex  landscape, and the role of stand structure in this variability. Carbon  accumulation after fire was rapid relative to the historical mean fire  interval of 150-300 years, recovering nearly 80% of pre-fire C in 50 years  and 90% within 100 years. Net ecosystem carbon balance (NECB) declined  monotonically from 160 g C m-2 yr-1 at age 12 to 5 g C m 2 yr-1 at age  250, but was never negative after disturbance. Decomposition and  accumulation of dead wood contributed little to NECB relative to live  biomass in this system. Aboveground net primary productivity was  correlated with leaf area for all stands, and the decline in aboveground  net primary productivity with forest age was related to a decline in both  leaf area and growth efficiency. Forest structure was an important driver  of ecosystem C, with ecosystem C, live biomass C, and organic soil C  varying with basal area or tree density in addition to forest age. Rather  than identifying a single chronosequence, we found high variability in  many components of ecosystem C stocks through time; a &gt; 50% random  subsample of the sampled stands was necessary to reliably estimate the  non-linear equation coefficients for ecosystem C. At the spatial scale of  YNP, this variability suggests that landscape C develops via many pathways  over decades and centuries, with prior stand structure, regeneration, and  within-stand disturbance all important. With fire rotation projected to be  &lt; 30 years by mid century in response to a changing climate,  forests in YNP will store substantially less C (at least 4.8 kg C/m2 or  30% less).", "keywords": ["Pinus contorta var. latifolia", "13. Climate action", "Yellowstone", "lodgepole pine", "net ecosystem carbon balance", "15. Life on land", "Carbon"]}, "links": [{"href": "https://doi.org/10.5061/dryad.1v87f"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.1v87f", "name": "item", "description": "10.5061/dryad.1v87f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.1v87f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-12-03T00:00:00Z"}}, {"id": "10433/20153", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:55Z", "type": "Report", "title": "Atlas mundial de los principales factores que controlan el carbono del suelo en un contexto de cambio clim\u00e1tico.", "description": "El carbono (C) es un componente esencial de la matriz del suelo que juega una funci\u00f3n vital en m\u00faltiples servicios ecosist\u00e9micos, desde la regulaci\u00f3n clim\u00e1tica hasta proporcionar suelos f\u00e9rtiles que permitan la seguridad alimentaria. Sin embargo, el cambio clim\u00e1tico y la gesti\u00f3n inadecuada del manejo del suelo est\u00e1n provocando p\u00e9rdidas aceleradas del C almacenado en los suelos de los ecosistemas terrestres, con repercusiones importantes en el clima de la Tierra. A pesar de su importancia, en la actualidad tenemos un conocimiento escaso sobre los factores que controlan los distintos componentes que forman el C almacenado en el suelo y que est\u00e1n asociados con su persistencia en un contexto de cambio clim\u00e1tico (protecci\u00f3n mineral, diversidad de la materia org\u00e1nica [SOM], recalcitrancia bioqu\u00edmica y respiraci\u00f3n heter\u00f3trofa de los microbios del suelo). En esta tesis, se investigaron los principales factores que influyen en la acumulaci\u00f3n de C a nivel global, mediante la utilizaci\u00f3n de suelos provenientes de varios muestreos estandarizados en todos los biomas terrestres. En primer lugar, nuestros resultados mostraron una menor diversidad de la SOM como consecuencia de la acumulaci\u00f3n de restos vegetales despu\u00e9s de millones de a\u00f1os de formaci\u00f3n ecosist\u00e9mica. Las correlaciones positivas entre la diversidad de la SOM y contenido de C en el suelo sugieren que el desarrollo de suelos milenarios m\u00e1s simples podr\u00eda estar asociado con las p\u00e9rdidas t\u00edpicamente observadas de las funciones ecosist\u00e9micas (incluida la acumulaci\u00f3n de C en el suelo) durante la retrogresi\u00f3n. En este contexto, el desarrollo de las comunidades vegetales es determinado por las condiciones clim\u00e1ticas. Nuestro segundo cap\u00edtulo revel\u00f3 que, independientemente del contenido de nutrientes en la capa superficial del suelo, el reservorio de la biomasa vegetal es mayor cuando las condiciones de temperatura y precipitaci\u00f3n permiten el crecimiento de las plantas. Por otra parte, frente a los bien establecidos mecanismos de persistencia, el microbioma del suelo emergi\u00f3 como el principal factor que controla las p\u00e9rdidas de C a la atm\u00f3sfera en escenarios de calentamiento. De hecho, nuestro cuarto cap\u00edtulo tambi\u00e9n revel\u00f3 que incrementar el n\u00famero de factores de cambio global est\u00e1 relacionado negativamente con el almacenamiento y los factores de persistencia del C a nivel global. Por \u00faltimo, propusimos que nuevas herramientas basadas en un enfoque microbiano podr\u00edan mejorar la diversidad de la SOM en tierras degradadas, y, por consiguiente, incrementar las reservas mundiales de C en el menor tiempo posible. En conjunto, los resultados presentados en esta tesis aportan informaci\u00f3n valiosa para orientar nuestros esfuerzos hacia medidas de gesti\u00f3n concretas y efectivas destinadas a construir y preservar el C en los ecosistemas terrestres.", "keywords": ["Carbono", "Cambio clim\u00e1tico", "Microbiolog\u00eda"], "contacts": [{"organization": "S\u00e1ez Sandino, Tadeo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10433/20153"}, {"rel": "self", "type": "application/geo+json", "title": "10433/20153", "name": "item", "description": "10433/20153", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10433/20153"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.5061/dryad.pb271", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:01Z", "type": "Dataset", "title": "Data from: Interactions among roots, mycorrhizae and free-living microbial communities differentially impact soil carbon processes", "description": "unspecifiedPlant roots, their associated microbial community and free-living soil  microbes interact to regulate the movement of carbon from the soil to the  atmosphere, one of the most important and least understood fluxes of  terrestrial carbon. Our inadequate understanding of how plant\u2013microbial  interactions alter soil carbon decomposition may lead to poor model  predictions of terrestrial carbon feedbacks to the atmosphere. Roots,  mycorrhizal fungi and free-living soil microbes can alter soil carbon  decomposition through exudation of carbon into soil. Exudates of simple  carbon compounds can increase microbial activity because microbes are  typically carbon limited. When both roots and mycorrhizal fungi are  present in the soil, they may additively increase carbon decomposition.  However, when mycorrhizas are isolated from roots, they may limit soil  carbon decomposition by competing with free-living decomposers for  resources. We manipulated the access of roots and mycorrhizal fungi to  soil in situ in a temperate mixed deciduous forest. We added 13C-labelled  substrate to trace metabolized carbon in respiration and measured  carbon-degrading microbial extracellular enzyme activity and soil carbon  pools. We used our data in a mechanistic soil carbon decomposition model  to simulate and compare the effects of root and mycorrhizal fungal  presence on soil carbon dynamics over longer time periods. Contrary to  what we predicted, root and mycorrhizal biomass did not interact to  additively increase microbial activity and soil carbon degradation. The  metabolism of 13C-labelled starch was highest when root biomass was high  and mycorrhizal biomass was low. These results suggest that mycorrhizas  may negatively interact with the free-living microbial community to  influence soil carbon dynamics, a hypothesis supported by our enzyme  results. Our steady-state model simulations suggested that root presence  increased mineral-associated and particulate organic carbon pools, while  mycorrhizal fungal presence had a greater influence on particulate than  mineral-associated organic carbon pools. Synthesis. Our results suggest  that the activity of enzymes involved in organic matter decomposition was  contingent upon root\u2013mycorrhizal\u2013microbial interactions. Using our  experimental data in a decomposition simulation model, we show that  root\u2013mycorrhizal\u2013microbial interactions may have longer-term legacy  effects on soil carbon sequestration. Overall, our study suggests that  roots stimulate microbial activity in the short term, but contribute to  soil carbon storage over longer periods of time.", "keywords": ["2. Zero hunger", "roots", "13. Climate action", "simulation model", "carbon dynamics", "Rhizosphere", "stable isotope", "plant-soil (belowground) interactions", "15. Life on land", "extra-cellular enzyme activity", "mycorrhizae"], "contacts": [{"organization": "Moore, Jessica A. M., Jiang, Jiang, Patterson, Courtney M., Wang, Gangsheng, Mayes, Melanie A., Classen, Aim\u00e9e T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.pb271"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.pb271", "name": "item", "description": "10.5061/dryad.pb271", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.pb271"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-14T00:00:00Z"}}, {"id": "10.5281/zenodo.14252610", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:00Z", "type": "Dataset", "title": "Data from: Turfgrass pedogenesis under low maintenance: an experimental analysis with Festuca rubra subspecies at different fertilization levels", "description": "unspecifiedThatchMatThickeness.csv  (Frc = Festuca rubra commutata, Frt = Festuca rubra trichophylla, Frr = Festuca rubra rubra)    spec = subspecies  var = variety  rep = replicate number  Nfert = N fertilization (kg N ha-1)  thatch1 = thatch thickness at 18-5-2018 (cm)  thatch2 = thatch thickness at 26-10-2018 (cm)  thatch3 = thatch thickness at 17-5-2019 (cm)  thatch4 =\u00a0 thatch thickness at 29-10-2019 (cm)  thatch5 = thatch thickness at 10-6-2020 (cm)  thatch6 = thatch tcicknesss at 16-6-2021 (cm)  mat1 = mat thickness at 18-5-2018 (cm)  mat2 = mat thickness at 26-10-2018 (cm)  mat3 = mat thickness at 17-5-2019 (cm)  mat4 =\u00a0 mat thickness at 29-10-2019 (cm)  mat5 = mat thickness at 10-6-2020 (cm)  mat6 = mat tcicknesss at 16-6-2021 (cm)", "keywords": ["Festuca rubra", "festuca rubra", "fertilization", "carbon", "soil layers", "pedogenesis", "turfgrass", "microbes", "Turfgrass", "nitrogen", "Carbon", "organic matter"], "contacts": [{"organization": "Evers, Maurice, De Caluwe, Hannie, Visser, Eric J.W., De Kroon, Hans,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14252610"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14252610", "name": "item", "description": "10.5281/zenodo.14252610", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14252610"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14936177", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:10Z", "type": "Dataset", "title": "Precision Liming Soil Datasets (LimeSoDa) Zenodo Repository", "description": "Overview  Precision Liming Soil Datasets (LimeSoDa) is a collection of 31 datasets from a field- and farm-scale soil mapping context. These datasets are 'ready-to-use' for modeling purposes, as they include target soil properties and features in a tidy tabular format. Three target soil properties are present in every dataset: (1) soil organic matter (SOM) or soil organic carbon (SOC), (2) pH, and (3) clay content, while the features for modeling are dataset-specific. The primary goal of `LimeSoDa` is to enable more reliable benchmarking of machine learning methods in digital soil mapping and pedometrics. All the associated materials and data from LimeSoDa can be downloaded in this data repository. However, for a more in-depth analysis, we refer to the published paper 'LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping' by Schmidinger et al. (2025). You may also use our R\u00a0and Python package likewise called LimeSoDa.  \u00a0  Citation  Upon usage of datasets from LimeSoDa, please cite our associated paper:  Schmidinger, J., Vogel, S., Barkov, V., Pham, A.-D., Gebbers, R., Tavakoli, H., Correa, J., Tavares, T.R., Filippi, P., Jones, E. J., Lukas, V., Boenecke, E., Ruehlmann, J., Schroeter, I., Kramer, E., Paetzold, S., Kodaira, M., Wadoux, A.M.J.-C., Bragazza, L., Metzger, K., Huang, J., Valente, D.S.M., Safanelli, J.L., Bottega, E.L., Dalmolin, R.S.D., Farkas, C., Steiger, A., Horst, T. Z., Ramirez-Lopez, L., Scholten, T., Stumpf, F., Rosso, P., Costa, M.M., Zandonadi, R.S., Wetterlind, J. & Atzmueller, M. (2025). LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping.", "keywords": ["Environmental sciences", "Soil Organic Carbon", "Pedometrics", "pH", "Soil Organic Matter", "Clay", "Remote sensing", "Digital Soil Mapping"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14936177"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14936177", "name": "item", "description": "10.5281/zenodo.14936177", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14936177"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.15096788", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:13Z", "type": "Dataset", "title": "HWSD2_Climate_and_Socioeconomic_agriculturalsoil_dataset_mainland_portugal", "description": "The study uses the Harmonized World Soil Database (HWSD v2.0) developed by FAO and IIASA for biophysical models and agroecological queries. This database consolidates information from various sources, including the European Soil Database, the 1:1 million soil map of China, and national soil maps from Afghanistan, Ghana, and T\u00fcrkiye. It has a spatial resolution of around 1 km and is revised in 2013 and 2023. HWSD v2.0 includes detailed information on soil mapping units, general soil unit information, and specific physical and chemical soil unit characteristics across seven depth layers.  The database fields cover a wide range of attributes, such as soil texture, bulk density, organic carbon content, pH, and cation exchange capacity. The harmonization process ensures that data from different sources is standardized and integrated, providing a consistent and reliable dataset for various applications. However, the HWSD v2.0 has some limitations, such as combining soil inventories gathered at different times, scales, and precision, which may affect its reliability for national studies. It is recommended to use national-level harmonized soil databases for more accurate results in specific regions.  For Portugal's mainland, the data presented in the HWSD v2.0 dataset is sourced from the European Soil Data Centre (ESDAC), which contains various metrics of chemical and physical soil properties. Out of the 2882 Portuguese parishes, only 22 are left out, representing 0.76% percent of the total number of parishes.  The study uses several datasets to analyze land use and occupation in Portugal. The Land Use and Occupation Map (COS2007v3.0) is a detailed thematic map of land use and occupation for mainland Portugal, developed by the Directorate-General for Territory (DGT). The data is organized hierarchically and includes 83 classes of land use and occupation. The CHELSA database, maintained by the Swiss Federal Institute for Forest, Snow, and Landscape Research (WSL), provides bioclimatic indexes for precipitation and average temperature over various temporal intervals and variables.  The National Institute of Statistics (INE) provides data on agricultural machinery distribution across different geographical locations. The dataset covers the total number of agricultural machines, as well as specific categories such as wheeled and tracked tractors, motor cultivators, power hoes, motor mowers, and combine harvesters. The dataset also examines the distribution of farms with access to irrigation based on geographical location.  The burned land data from 1975 to 2023 provides a comprehensive overview of fire occurrences and their impact over time. This data is crucial for understanding long-term patterns, assessing the effectiveness of fire prevention measures, and informing future land management and policy decisions.  Lastly, the population density dataset from the 2021 Census and the 2011 Census provides a decennial comparison of total population density across different geographical regions. These data are essential for understanding the evolution of land use and occupation in Portugal and their implications for environmental and agricultural consequences.", "keywords": ["Soil", "Total organic carbon", "Land use", "Soil use", "Atmospheric precipitation", "Soil type", "Organic carbon", "Land surface temperature"], "contacts": [{"organization": "Almeida Santos, R. G. F.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15096788"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15096788", "name": "item", "description": "10.5281/zenodo.15096788", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15096788"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-27T00:00:00Z"}}, {"id": "10.5281/zenodo.4287780", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:38Z", "type": "Dataset", "title": "Forest carbon prospecting for climate change mitigation: Version 1.0", "description": "This data package includes the two 1-km resolution global maps (.tif) of tropical forests between ~23.44\u00b0N and 23.44\u00b0S produced from the study: 1) investible forest carbon (in tCO<sub>2</sub>e ha<sup>-1</sup>y<sup>-1</sup>) and 2) forest carbon return-on-investment (Net Present Value in USD ha<sup>-1</sup>y<sup>-1</sup>) over a 30-year timeframe. It also includes the R script to reproduce these layers and their uncertainties. <em><strong>Investible Forest Carbon</strong>: </em>The investible forest carbon map was produced based on the total volume of CO<sub>2</sub>e associated with the three main carbon pools in the tropics, namely aboveground carbon, belowground carbon and soil organic carbon. This is followed by the application of key Verified Carbon Standard (VCS) criteria including additionality, to determine the magnitude and areas of investible forest carbon across the tropics. <em>Aboveground carbon.</em> A stoichiometric factor of 0.475 was applied to recent spatial data on aboveground carbon biomass to obtain carbon stock based on established carbon accounting methodologies. An uncertainty analyses was also performed to account for potential variability in stoichiometric factor. Subsequently, a conversion factor of 3.67 was applied to the carbon stock layer to obtain the volume of CO<sub>2</sub>e associated with this carbon pool. <em>Belowground carbon</em>. Belowground carbon biomass was firstly derived by applying two allometric equations relating to root to shoot biomass to the most recent spatial dataset on aboveground carbon biomass following established carbon accounting methodologies. The two equations are: Belowground biomass = 0.489\u00d7aboveground biomass^0.89; and Belowground biomass = 0.26\u00d7aboveground biomass A stoichiometric factor of 0.475 was subsequently applied to the estimated belowground carbon biomass to obtain the carbon stock. An uncertainty analyses was then performed to determine the mean, minimum and maximum values for belowground carbon. Following that, a conversion factor of 3.67 was applied to the carbon stock layer to obtain the volume of CO<sub>2</sub>e associated with this carbon pool. <em>Soil Organic Carbon</em>. Organic carbon density of the topsoil layer (0-30 cm) was obtained from the European Soil Data Centre as it represented the best data available for soil organic carbon. A conversion factor of 3.67 was subsequently applied to derive the volume of CO<sub>2</sub>e associated with this carbon pool. <em>Applying VCS criteria</em>. The criterion of additionality is a pre-condition for carbon credits to be certified under the VCS. This implies that only the volume of forest carbon that are under imminent threat of decline or loss if left unprotected by a conservation intervention can be certified under the VCS. The volume of forest carbon under threat of loss was based on the best available data on predicted deforestation rates across the tropics (through to the year 2029), and annualized over predicted 15-year period. The estimated annual deforestation rates was then applied to the total volume of CO<sub>2</sub>e associated with tropical forests as estimated above, deriving the volume of CO<sub>2</sub>e that would be certifiable and thus investible under the VCS. In addition, a conservative 10-year decay estimate was assumed for the estimate of the belowground carbon pool, and lands that will likely not be certifiable for other reasons, including recently deforested areas (i.e. for the period of 2010-2017), a well as human settlements, were excluded. Lastly, the VCS requirement to set aside buffer credits of 20% was accounted for to consider the risk of non-permanence associated with Agriculture, Forestry and Other Land Use (AFOLU) projects. <strong><em>Return</em>-<em>on-Investment</em></strong>. From the investible forest carbon map, the relative profitability of these areas was then modelled to produce a global forest carbon return-on-investment map based on their NPV. The NPV of returns were based on several simplifying assumptions following established values from previous studies. <em>Cost of project establishment</em>. The cost of project establishment was estimated to be at $25 ha<sup>-1</sup>. This was based on a range of costs that are key to the development of a project, including but not limited to project design, governance and planning, enforcement, zonation, land tenure and acquisition, surveying and research. <em>Cost for annual maintenance</em>. The cost for annual maintenance was estimated to be $10 ha<sup>-1</sup>, which included aspects such as in education and communication, monitoring, sustainable livelihoods, marketing, finance and administration. <em>Carbon price</em>. A constant carbon price of $5.8 t<sup>-1</sup>CO\u00ad<sub>2</sub>e for the first five years was applied. This price was based on an average price of carbon for avoided deforestation projects reported recently by Forest Trends\u2019 Ecosystem Marketplace (i.e. for the period 2006 \u2013 2018). Subsequently, a 5% price appreciation was applied annually over a project timeframe of 30 years. <em>Discount rate</em>. We calculated NPV of annual and accumulated profits over 30 years based on a 10% risk-adjusted discount rate. Further details for these datasets and their uncertainties are presented in Koh et. al. For questions or issues on the spatial data layers, please contact Yiwen Zeng (zengyiwen@nus.edu.sg).", "keywords": ["Carbon stocks", "Climate change mitigation", "13. Climate action", "Carbon finance", "15. Life on land"], "contacts": [{"organization": "Koh, Lian Pin, Zeng, Yiwen, Sarira, Tasya Vadya, Siman, Kelly,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4287780"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4287780", "name": "item", "description": "10.5281/zenodo.4287780", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4287780"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-25T00:00:00Z"}}, {"id": "10.5281/zenodo.4487144", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:39Z", "type": "Dataset", "title": "Eddy Covariance data from ICOS-associated station IT-NIV \u2013 August-November 2019", "description": "RestrictedData stored here refer to Eddy Covariance (EC) data measured in 2019 between August and November at the Alpine CZO (Critical Zone Observatory, hereafter CZO@Nivolet) which was established at the Nivolet Plain (Piani del Nivolet) in the Gran Paradiso National Park (GPNP), located in the western Italian Alps. The EC site (IT-NIV) is an ICOS-associated station. CZO@Nivolet is aimed at investigating the cross-scale interactions between climatic shifts and ecosystem functions multiple scales, involving multidisciplinary studies. The main research questions that we aim to answer are concerning: (a) the effect of bedrock lithology, soil physics and chemisty, topographic hetereogenity, biotic components and meteo-climatic parameters in modulating CO<sub>2</sub> flux in alpine grassland; and (b) what are the controlling factors of organic C and weathering under geologic substrates and different topographic positions. The investigations started in 2017. In 2019, the EC tower was added to deeply study CO<sub>2</sub>, H<sub>2</sub>0, latent and sensible heat exchanges between soil, vegetation, and atmosphere. Carbon dioxide fluxes and environmental variables are recorded during the snow-free season to estimate carbon storage and explore CO<sub>2</sub> fluxes drivers in high-altitude grasslands. Further developments will regard the integration of different techniques (Eddy Covariance, Remote Sensing, Flux chambers) to improve both spatial and temporal extent of carbon fluxes estimates to finally assess grasslands' productivity.", "keywords": ["13. Climate action", "alpine grassland", "15. Life on land", "Gran Paradiso National Park", "Mountain", "EO_Data", "Eddy Covariance", "Net Ecosystem Exchange", "ecosystem-atmosphere carbon exchange"], "contacts": [{"organization": "Vivaldo, Gianna, Raco, Brunella, Baneschi, Ilaria, Giamberini, Maria Silvia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4487144"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4487144", "name": "item", "description": "10.5281/zenodo.4487144", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4487144"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-20T00:00:00Z"}}, {"id": "10.5281/zenodo.7307449", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:52Z", "type": "Dataset", "title": "Components of the complete budget for SAFE intensive carbon plots", "description": "<strong>Description: </strong> Measured components of total carbon budget at SAFE project, values, with standard errors, for each 1-ha carbon plots for 11 plots investigated across a logging gradient from unlogged old-growth to heavily logged.<br> <br> These data are also published in below-ground carbon cycle in Riutta et al 2021 GBC and allocation of net primary productivity from Riutta et al 2019 GCB. This worksheet include two addititional carbon plots from Lambir Hills National Park (see Kho et al. 2013 JGR), which are not part of the SAFE Project. Below-ground carbon cycle data can be found at DOI 10.5281/zenodo.3266770 and leaf respiration at DOI 10.5281/zenodo.3247630.<br> <br> SAFE Intensive Carbon Plots, part of the Global Ecosystem Monitoring (GEM) network, see http://gem.tropicalforests.ox.ac.uk/. All the methods and installation is described in detail in the GEM Intensive Carbon Plots manual, available at http://gem.tropicalforests.ox.ac.uk/files/rainfor-gemmanual.v3.0.pdf. <strong>Project: </strong>This dataset was collected as part of the following SAFE research project: <strong>Changing carbon dioxide and water budgets from deforestation and habitat modification</strong> <strong>Funding: </strong>These data were collected as part of research funded by: Sime Darby Foundation (Grant, SAFE Core data) European Research Council Advanced Investigator Grant, GEM-TRAIT (Grant, Grant number 321131) NERC Human-Modified Tropical Forests Programme: Biodiversity And Land-use Impacts on tropical ecosystem function (BALI) Project (Grant, NE/K016369/1) NERC standard grant: The multi-year impacts of the 2015/2016 El Ni\u00f1o on the carbon cycle of tropical forests worldwide (Grant, NE/P001092/1) HSBC Malaysia (Grant) The University of Zurich (Grant) This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs. <strong>Permits: </strong>These data were collected under permit from the following authorities: Sabah Biodiversity Council (Research licence JKM/MBs.1000-2/2 JLD.6 (76)) <strong>XML metadata: </strong>GEMINI compliant metadata for this dataset is available here <strong>Files: </strong>This consists of 1 file: SAFE_CarbonBalanceComponents.xlsx <strong>SAFE_CarbonBalanceComponents.xlsx</strong> This file contains dataset metadata and 1 data tables: <strong>Carbon balance components data</strong> (described in worksheet Data) Description: Carbon balance components and carbon budget of intensive carbon plots at SAFE project Number of fields: 64 Number of data rows: 11 Fields: <strong>ForestType</strong>: Old-growth or Logged (Field type: categorical) <strong>SAFEPlotName</strong>: SAFE plot name, as in the SAFE Gazetteer (Field type: location) <strong>PlotName</strong>: Plot name (used in field work) (Field type: id) <strong>ForestPlotsCode</strong>: Plot code, as in the ForestPlots database (this should be used in publications, instead of plot name) (Field type: id) <strong>WoodyNPP_Stem</strong>: Woody stem productivity (subcomponent of woody net primary productivity) (Field type: numeric) <strong>WoodyNPP_CoarseRoot</strong>: Coarse root productivity (subcomponent of woody net primary productivity) (Field type: numeric) <strong>WoodyNPP_BranchTurnover</strong>: Branch turnover productivity (subcomponent of woody net primary productivity) (Field type: numeric) <strong>WoodyNPP_Total</strong>: Total woody net primary producivity (Field type: numeric) <strong>CanopyNPP_Leaf</strong>: Leaf productivity (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Twig</strong>: Twig productivity (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Reproductive</strong>: Reproductive productivity, i.e. fruit, seed and flowers (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Miscellaneous</strong>: Unidentified canopy debris (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Herbivory</strong>: Leaf productivity lost to herbivory (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Total</strong>: Total canopy net primary producivty (Field type: numeric) <strong>FineRootNPP</strong>: Fine root productivity (Field type: numeric) <strong>TotalNPP_WithoutMycorrhiza</strong>: Total net primary productivity without mycorrhiza (Field type: numeric) <strong>TotalNPP_WithMycorrhiza</strong>: Total net primary productivity including mycorrhiza (Field type: numeric) <strong>GPP_WithoutMycorrhiza</strong>: Gross primary productivity without mycorrhiza (Field type: numeric) <strong>GPP_WithMycorrhiza</strong>: Gross primary productivity including mycorrhiza (Field type: numeric) <strong>R_Stem</strong>: Respiration from woody stems (Field type: numeric) <strong>R_Leaf</strong>: Leaf Respiration (Field type: numeric) <strong>R_FineRoots</strong>: Respiration from fine roots (Field type: numeric) <strong>R_CoarseRoots</strong>: Respiration from coarse roots (Field type: numeric) <strong>R_SOM</strong>: Respiration from soil organic matter (Field type: numeric) <strong>R_Mycorrhiza</strong>: Respiration from mycorrhiza (Field type: numeric) <strong>R_Litter</strong>: Respiration from litter layer (Field type: numeric) <strong>R_Deadwood</strong>: Deadwood respiration (Field type: numeric) <strong>R_auto</strong>: Total autotrophic respiration (Field type: numeric) <strong>R_het</strong>: Total heterotrophic respiration (Field type: numeric) <strong>R_eco</strong>: Total ecosystem respiration (Field type: numeric) <strong>NEP_WithoutMycorrhiza</strong>: Total net ecosystem productivity (also known as net ecosystem exchange) without including mycorrhiza, whereby positive values indicate a net source of carbon to the atmosphere (Field type: numeric) <strong>NEP_WithMycorrhiza</strong>: Total net ecosystem productivity (also known as net ecosystem exchange) including mycorrhiza, whereby positive values indicate a net source of carbon to the atmosphere (Field type: numeric) <strong>AbovegroundBiomassCarbonStock</strong>: Plot above-ground biomass carbon stock (Field type: numeric) <strong>CoarseRootBiomassCarbonStock</strong>: Biomass carbon stock of coarse roots (Field type: numeric) <strong>SE_WoodyNPP_Stem</strong>: Standard error of woody stem productivity (Field type: numeric) <strong>SE_WoodyNPP_CoarseRoot</strong>: Standard error of coarse root productivity (Field type: numeric) <strong>SE_WoodyNPP_BranchTurnover</strong>: Standard error of branch turnover productivity (Field type: numeric) <strong>SE_WoodyNPP_Total</strong>: Standard error of total woody net primary producivity (Field type: numeric) <strong>SE_CanopyNPP_Leaf</strong>: Standard error of leaf productivity (Field type: numeric) <strong>SE_CanopyNPP_Twig</strong>: Standard error of twig productivity (Field type: numeric) <strong>SE_CanopyNPP_Reproductive</strong>: Standard error of reproductive productivity, i.e. fruit, seed and flowers (Field type: numeric) <strong>SE_CanopyNPP_Miscellaneous</strong>: Standard error of unidentified canopy debris (Field type: numeric) <strong>SE_CanopyNPP_Herbivory</strong>: Standard error of leaf productivity lost to herbivory (Field type: numeric) <strong>SE_CanopyNPP_Total</strong>: Standard error of total canopy net primary producivty (Field type: numeric) <strong>SE_FineRootNPP</strong>: Standard error of fine root productivity (Field type: numeric) <strong>SE_TotalNPP_WithoutMycorrhiza</strong>: Standard error of total net primary productivity without mycorrhiza (Field type: numeric) <strong>SE_TotalNPP_WithMycorrhiza</strong>: Standard error of total net primary productivity including mycorrhiza (Field type: numeric) <strong>SE_GPP_WithoutMycorrhiza</strong>: Standard error of gross primary productivity without mycorrhiza (Field type: numeric) <strong>SE_GPP_WithMycorrhiza</strong>: Standard error of gross primary productivity including mycorrhiza (Field type: numeric) <strong>SE_R_Stem</strong>: Standard error of respiration from woody stems (Field type: numeric) <strong>SE_R_Leaf</strong>: Standard error of leaf Respiration (Field type: numeric) <strong>SE_R_FineRoots</strong>: Standard error of respiration from fine roots (Field type: numeric) <strong>SE_R_CoarseRoots</strong>: Standard error of respiration from coarse roots (Field type: numeric) <strong>SE_R_SOM</strong>: Standard error of respiration from soil organic matter (Field type: numeric) <strong>SE_R_Mycorrhiza</strong>: Standard error of respiration from mycorrhiza (Field type: numeric) <strong>SE_R_Litter</strong>: Standard error of litter layer respiration (Field type: numeric) <strong>SE_R_Deadwood</strong>: Standard error of deadwood respiration (Field type: numeric) <strong>SE_R_auto</strong>: Standard error of total autotrophic respiration (Field type: numeric) <strong>SE_R_het</strong>: Standard error of total heterotrophic respiration (Field type: numeric) <strong>SE_R_eco</strong>: Standard error of total ecosystem respiration (Field type: numeric) <strong>SE_NEP_WithoutMycorrhiza</strong>: Standard error of total net ecosystem productivity (Field type: numeric) <strong>SE_NEP_WithMycorrhiza</strong>: Standard error of total net ecosystem productivity (Field type: numeric) <strong>SE_AbovegroundBiomassCarbonStock</strong>: Standard error of plot above-ground biomass carbon stock (Field type: numeric) <strong>SE_CoarseRootBiomassCarbonStock</strong>: Standard error of biomass carbon stock of coarse roots (Field type: numeric) <strong>Date range: </strong>2011-08-25 to 2018-07-17 <strong>Latitudinal extent: </strong>4.1830 to 5.0700 <strong>Longitudinal extent: </strong>114.0190 to 117.8200", "keywords": ["2. Zero hunger", "Soil carbon cycle", "Soil organic matter", "Flux", "Respiration", "15. Life on land", "Carbon balance", "Autotrophic respiration", "6. Clean water", "SAFE core data", "13. Climate action", "SAFE project", "Heterotropchic respiration", "Litter", "Carbon plot", "Carbon flux", "Productivity"], "contacts": [{"organization": "Riutta, Terhi, Ewers, Robert M, Malhi, Yadvinder, Majalap, Noreen, Khoon, Kho Lip, Mills, Maria,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7307449"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7307449", "name": "item", "description": "10.5281/zenodo.7307449", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7307449"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-09T00:00:00Z"}}, {"id": "10.5281/zenodo.7656722", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:53Z", "type": "Dataset", "title": "Data for: The effect of land-use change on soil C, N, P, and their stoichiometries: A global synthesis", "description": "Open Access<strong><em>Data description</em></strong> This dataset includes detailed information about five different types of land use change reported in \u201cThe effect of land-use change on soil C, N, P, and their stoichiometries: A global synthesis (Agriculture, Ecosystems and Environment; https://doi.org/10.1016/j.agee.2023.108402)\u201d. Lists of five different types of land use change 1) conversion of primary forest to cropland 2) conversion of primary forest to grassland 3) conversion of cropland to forest 4) conversion of grassland to forest 5) conversion of grassland to cropland Lists of detailed information Land use change (pre-LUC, post-LUC) Country, Location, Geographic position (Longitude, Latitude) Altitude (m) Climate zone Weather [rainfall (mm yr<sup>-1</sup>) and temperature (\u00b0C)] Reported time of change (years) Vegetation type (pre-LUC, post-LUC) Fertilizer (pre-LUC, post-LUC: type, application; change) Soil sampling depth (cm) Soil type [units, pre-LUC, post-LUC, change rate (%)] Soil pH, bulk density, CEC [units, pre-LUC, post-LUC, change rate (%)] Soil organic carbon [units, pre-LUC, post-LUC, change rate (%)] Soil total nitrogen [units, pre-LUC, post-LUC, change rate (%)] Soil total phosphorus [units, pre-LUC, post-LUC, change rate (%)] Soil C:N [units, pre-LUC, post-LUC, change rate (%)] Soil C:P [units, pre-LUC, post-LUC, change rate (%)] Soil N:P [units, pre-LUC, post-LUC, change rate (%)] Reference <em><strong>Data collection method</strong></em> We analyzed five different types of LUC: 1) conversion of primary forest to cropland, 2) conversion of primary forest to grassland, 3) conversion of cropland to forest, 4) conversion of grassland to forest, and 5) conversion of grassland to cropland. We classified primary forest as forest that had not previously been cleared and used for other land uses. The conversion of cropland or grassland to forest includes naturally generated and intentionally planted forest. Cropland is land used for growing agricultural crops and may include short pasture phases, and grassland is land used continuously for grazing purposes, but may include occasional and repeated pasture-renewal phases. While we tried to make categorical distinctions between these land-use types, land uses are often more fluid in practice, which may not always have been stated in the publications underlying our data compilation. When a paper reported both contents and stocks, we used the stock-based measure. We used reported stocks if the original work had already been corrected to equivalent soil mass (Ellert and Bettany, 1995) or if corrected stocks had been reported in previous reviews or meta-analyses (Don et al., 2011; Poeplau et al., 2011; Guo and Gifford, 2002). Where bulk-density correction had not been applied, we tried to make those corrections to estimate changes to equivalent soil mass if studies provided sufficient information on soil bulk density and depth, using the method of Zhang et al. (2004). If that was not possible, we used the reported SOC, TN, or TP contents. <em><strong>Acknowledgements</strong></em> We thank scientists who measured, analyzed, and published the data compiled for this study. We are especially grateful to Drs. Axel Don, Christopher Poeplau, Lex Bouwman, and Gaihe Yang, who provided their global meta-data through personal communication. D.-G.K. acknowledges support from the IAEA CRP D15020. M.U.F.K and L.L.L. were supported by the Strategic Science Investment Fund (SSIF) of New Zealand\u2019s Ministry of Business, Innovation and Employment.", "keywords": ["2. Zero hunger", "13. Climate action", "land-use change", " greenhouse gas emissions", " soil", " carbon", " nitrogen", " phosphorus", " stoichiometry", " time", " temperature", " rainfall", " forest type", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7656722"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7656722", "name": "item", "description": "10.5281/zenodo.7656722", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7656722"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-20T00:00:00Z"}}, {"id": "10.5281/zenodo.8057232", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:57Z", "type": "Dataset", "title": "Upscaling soil organic carbon measurements at the continental scale using multivariate clustering analysis and machine learning", "description": "<strong>Data Description</strong>: 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]<br> \u251c\u2500\u2500 available_water_storage_30arc_100cm_us.tif [100 cm depth soil available water storage]<br> \u251c\u2500\u2500 caco3_30arc_30cm_us.tif [30 cm depth soil CaCO3 content]<br> \u251c\u2500\u2500 caco3_30arc_100cm_us.tif [100 cm depth soil CaCO3 content]<br> \u251c\u2500\u2500 cec_30arc_30cm_us.tif [30 cm depth soil cation exchange capacity]<br> \u251c\u2500\u2500 cec_30arc_100cm_us.tif [100 cm depth soil cation exchange capacity]<br> \u251c\u2500\u2500 clay_30arc_30cm_us.tif [30 cm depth soil clay content]<br> \u251c\u2500\u2500 clay_30arc_100cm_us.tif [100 cm depth soil clay content]<br> \u251c\u2500\u2500 depthWT_30arc_us.tif [depth to water table]<br> \u251c\u2500\u2500 kfactor_30arc_30cm_us.tif [30 cm depth soil erosion factor]<br> \u251c\u2500\u2500 kfactor_30arc_100cm_us.tif [100 cm depth soil erosion factor]<br> \u251c\u2500\u2500 ph_30arc_100cm_us.tif [100 cm depth soil pH]<br> \u251c\u2500\u2500 ph_30arc_100cm_us.tif [30 cm depth soil pH]<br> \u251c\u2500\u2500 pondingFre_30arc_us.tif [ponding frequency]<br> \u251c\u2500\u2500 sand_30arc_30cm_us.tif [30 cm depth soil sand content]<br> \u251c\u2500\u2500 sand_30arc_100cm_us.tif [100 cm depth soil sand content]<br> \u251c\u2500\u2500 silt_30arc_30cm_us.tif [30 cm depth soil silt content]<br> \u251c\u2500\u2500 silt_30arc_100cm_us.tif [100 cm depth soil silt content]<br> \u251c\u2500\u2500 water_content_30arc_30cm_us.tif [30 cm depth soil water content]<br> \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]<br> \u251c\u2500\u2500100cm SOC mean.tif [100 cm depth soil SOC]<br> \u251c\u2500\u250030cm SOC CV.tif [30 cm depth soil SOC coefficient of variation]<br> \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 <br> <strong>Data format</strong>: Geospatial files are provided in Geotiff format in Lat/Lon WGS84 EPSG: 4326 projection at 30 arc second resolution. <strong>Geospatial projection</strong>: <pre><code>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]] </code></pre>", "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": "10.5281/zenodo.8320433", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:00Z", "type": "Dataset", "title": "Carbon storage and carbon-equivalent albedo impact for US forests, by age and forest type", "description": "These tables document estimates of carbon storage (Mg/ha +/- Standard Error) and carbon-equivalent albedo impacts (same units) of US forests by age and forest type (Healey et al., in review). Carbon estimates are derived from field measurements made by the USDA Forest Service on approximately 125,000 forested field plots (Domke et al., 2022). Soil organic carbon is omitted from these estimates, but all other above- and below-ground pools are included. Albedo impacts (time-dependent emissions equivalent, TDEE; Bright et al., 2016) were developed by applying atmospheric kernels (Bright and O'Halloran) to a new Landsat blue sky albedo product for the Landsat archive (Erb et al., 2022), as described by Healey et al. (in review). Standard error is supplied for each age/forest type bin for carbon storage, but upper and lower standard error bounds are specified for TDEE because log transformation creates an asymmetrical uncertainty envelope. Bright, Bogren, Bernier, Astrup, (2016). Carbon-equivalent metrics for albedo changes in land management contexts: Relevance of the time dimension. <em>Ecol. Appl.</em> 26, 1868\u20131880 Bright, R. M., &amp; O'Halloran, T. L. (2019). Developing a monthly radiative kernel for surface albedo change from satellite climatologies of Earth's shortwave radiation budget: CACK v1. 0. <em>Geoscientific Model Development, </em>12(9), 3975-3990. Domke, Walters, Nowak, Greenfield, Smith, Nichols, Ogle, Coulston, Wirth (2022). Greenhouse Gas Emissions and Removals From Forest Land, Woodlands, Urban Trees, and Harvested Wood Products in the United States, 1990\u20132020. (US Dept. Ag. For. Service, Madison, WI; https://doi.org/10.2737/FS-RU-382). Erb, Li, Sun, Paynter, Wang, &amp; Schaaf, (2022). Evaluation of the Landsat-8 Albedo Product across the Circumpolar Domain. <em>Remote Sensing</em>, <em>14</em>(21), 5320. Healey, Yang, Erb, Bright, Domke, Frescino, Schaaf, (in review) New satellite observations expose albedo dynamics offsetting half of carbon storage benefits in US forests.", "keywords": ["climate change", "forest carbon", "13. Climate action", "15. Life on land", "Landsat", "albedo"], "contacts": [{"organization": "Healey, Sean, Yang, Zhiqiang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8320433"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8320433", "name": "item", "description": "10.5281/zenodo.8320433", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8320433"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-06T00:00:00Z"}}, {"id": "10.7910/DVN/GVNJAB", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:38Z", "type": "Dataset", "created": "2019-06-24", "title": "Physical topsoil  properties in Murugusi, Western Kenya", "description": "Open Access&lt;b&gt;General:&lt;/b&gt; Lab determined topsoil bulk density, contents of sand, clay and organic carbon in Murugusi, W. Kenya, together with spatial coordinates of where the soil samples were taken (rounded to the closest center point of a 250 m \u00d7 250 m raster). All lab analyses were carried out at the ILRI/CIAT lab in Nairob, Kenya.  &lt;br&gt;  &lt;b&gt;Soil sampling:&lt;/b&gt; At each sample location, one composite topsoil sample was taken; three cores of 7 cm in diameter taken within an area of one square meter. The soil was taken from 0-0.2 m depth below any organic (O) horizon.   &lt;br&gt;  &lt;b&gt;Determination of soil properties:&lt;/b&gt; The bulk density of the soil was determined by taking two undisturbed soil samples (0-10 cm and 10-20 cm depth) of known volume (100 cm2) and weighting them after air drying. Soil fractions of clay (&lt;0.002 mm) and sand (0.05-2 mm) were determined by the hydrometer method (Estefan et al., 2014), using 10% sodium hexametaphosphate as the dispersing agent. Soil pH was determined potentiometrically on a soil suspension of 1:2 (soil: water). Total carbon was measured after dry combustion using an elemental analyser (Elementar Vario max cube; ISO 10694, first edition 1995-03-01)  &lt;br&gt;  &lt;b&gt;Reference: &lt;/b&gt;Estefan G., Sommer R., Ryan J. (2014) Analytical Methods for Soil-Plant and Water in Dry Areas. A Manual of Relevance to the West Asia and North Africa Region. 3rd Edition, International Center for Agricultural Research in the Dry Areas, Aleppo, 255 pp. Available online at: http://repo.mel.cgiar.org:8080/handle/20.500.11766/7512?show=full. Verified: October 9, 2018.  &lt;br&gt;  &lt;b&gt;Acknowledgements: &lt;/b&gt; We are deeply thankful for the good services provided by John Mukulama (soil sampling), John Yumbya Mutua (soil sampling) and Francis Mungthu Njenga (lab analyses) The project was carried out within the CGIAR Research Program on Water, Land and Ecosystems (WLE).", "keywords": ["Soil organic matter", "Agricultural Sciences", "Soil organic carbon", "sand", "Kenya", "Carbon", "Latin America and the Caribbean", "soil", "Soil", "Soil bulk density", "Sand", "soil organic matter", "Earth and Environmental Sciences", "Soil texture", "Murugusi", "Africa", "Clay", "Texture", "Western Kenya", "Agroecosystems and Sustainable Landscapes - ASL"], "contacts": [{"organization": "Piikki, Kristin, S\u00f6derstr\u00f6m, Mats, Sommer, Rolf, Da Silva, Mayesse,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/GVNJAB"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/GVNJAB", "name": "item", "description": "10.7910/DVN/GVNJAB", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/GVNJAB"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/T8CMAT", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:39Z", "type": "Dataset", "created": "2016-02-28", "title": "GMCSD-2. Global Mangrove Carbon, 2000 to 2012, 1 Arc-second, 1 m soil.", "description": "Open AccessGlobal Mangrove Carbon, 2000 to 2012, 1 Arc-Second, 1 m Soil, mid, EQ5.  <p> Annual stocks.  <p> Each of these 13 years is 3TB when extracted. So that is 39 TB as a tif. <p> We needed to use file geodatabase format to compress enough to post on the Dataverse. Hence no TIffs.", "keywords": ["Earth and Environmental Sciences", "Raster", "ArcGIS file Geodatabase rasters", "Global Mangrove Carbon"], "contacts": [{"organization": "Hamilton, Stuart", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/T8CMAT"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/T8CMAT", "name": "item", "description": "10.7910/DVN/T8CMAT", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/T8CMAT"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "11369/372709", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:06Z", "type": "Journal Article", "created": "2018-09-07", "title": "Soil resources and element stocks in drylands to face global issues", "description": "Abstract<p>Drylands (hyperarid, arid, semiarid, and dry subhumid ecosystems) cover almost half of Earth\uffe2\uff80\uff99s land surface and are highly vulnerable to environmental pressures. Here we provide an inventory of soil properties including carbon (C), nitrogen (N), and phosphorus (P) stocks within the current boundaries of drylands, aimed at serving as a benchmark in the face of future challenges including increased population, food security, desertification, and climate change. Aridity limits plant production and results in poorly developed soils, with coarse texture, low C:N and C:P, scarce organic matter, and high vulnerability to erosion. Dryland soils store 646 Pg of organic C to 2\uffe2\uff80\uff89m, the equivalent of 32% of the global soil organic C pool. The magnitude of the historic loss of C from dryland soils due to human land use and cover change and their typically low C:N and C:P suggest high potential to build up soil organic matter, but coarse soil textures may limit protection and stabilization processes. Restoring, preserving, and increasing soil organic matter in drylands may help slow down rising levels of atmospheric carbon dioxide by sequestering C, and is strongly needed to enhance food security and reduce the risk of land degradation and desertification.</p", "keywords": ["2. Zero hunger", "0301 basic medicine", "Conservation of Natural Resources", "0303 health sciences", "Multidisciplinary", "Nitrogen", "Climate", "Climate Change", "Phosphorus", "15. Life on land", "Article", "Carbon", "Food Supply", "Soil", "03 medical and health sciences", "element cycles", "13. Climate action", "carbon cycle", "Life Science", "Humans", "Desert Climate", "Ecosystem", "geochemistry"]}, "links": [{"href": "https://iris.univr.it/bitstream/11562/1001390/1/Soil%20resources%20and%20element%20stocks%20in%20drylands%20to%20face%20global%20issues.pdf"}, {"href": "https://www.nature.com/articles/s41598-018-32229-0.pdf"}, {"href": "https://doi.org/11369/372709"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Scientific%20Reports", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11369/372709", "name": "item", "description": "11369/372709", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11369/372709"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-13T00:00:00Z"}}, {"id": "1854/LU-8732814", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:18Z", "type": "Journal Article", "created": "2021-11-09", "title": "Litter quality, mycorrhizal association, and soil properties regulate effects of tree species on the soil fauna community", "description": "Abstract   Forest management, including selection of appropriate tree species to mitigate climate change and sustain biodiversity, requires a better understanding of factors that affect the composition of soil fauna communities. These communities are an integral part of the soil ecosystem and play an essential role in forest ecosystem functioning related to carbon and nitrogen cycling. Here, by performing a field study across six common gardens in Denmark, we evaluated the effects of tree species identity and mycorrhizal association (i.e., arbuscular mycorrhiza (AM) and ectomycorrhiza (ECM)) on soil fauna (meso- and macrofauna) taxonomic and functional community composition by using diversity, abundance, and biomass as proxies. We found that (1) tree species identity and mycorrhizal association both showed significant effects on soil fauna communities, but the separation between community characteristics in AM and ECM tree species was not entirely consistent; (2) total soil fauna abundance, biomass, as well as taxonomic and functional diversity were generally significantly higher under AM tree species, as well as lime, with higher litter quality (high N and base cation and low lignin:N ratio); (3) tree species significantly influenced the properties of litter, forest floor, and soil, among which litter and/or forest floor N, P, Ca, and Mg concentrations, soil pH, and soil moisture predominantly affected soil fauna abundance, biomass, and taxonomic and functional diversity. Our results from this multisite common garden experiment provide strong and consistent evidence of positive effects of tree species with higher litter quality on soil fauna communities in general, which helps to better understand the effects of tree species selection on soil biodiversity and its functions related to forest soil carbon sequestration.", "keywords": ["DECOMPOSITION", "EARTHWORMS", "Diversity", "PH", "FOREST FLOOR", "Common garden experiment", "Soil meso- and macrofauna", "DIVERSITY", "Biology and Life Sciences", "04 agricultural and veterinary sciences", "15. Life on land", "NITROGEN", "CARBON", "Taxonomic group", "FUNCTIONAL TRAITS", "Abundance", "13. Climate action", "Earth and Environmental Sciences", "Functional group", "0401 agriculture", " forestry", " and fisheries", "BIODIVERSITY", "ABUNDANCE", "Biomass"]}, "links": [{"href": "https://doi.org/1854/LU-8732814"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-8732814", "name": "item", "description": "1854/LU-8732814", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-8732814"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-01T00:00:00Z"}}, {"id": "10.1111/j.1461-0248.2010.01570.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:39Z", "type": "Journal Article", "created": "2010-12-22", "title": "Enhanced Root Exudation Induces Microbial Feedbacks To N Cycling In A Pine Forest Under Long-Term Co2 Fumigation", "description": "<p> Ecology Letters (2011) 14: 187\uffe2\uff80\uff93194</p>Abstract<p>The degree to which rising atmospheric CO2 will be offset by carbon (C) sequestration in forests depends in part on the capacity of trees and soil microbes to make physiological adjustments that can alleviate resource limitation. Here, we show for the first time that mature trees exposed to CO2 enrichment increase the release of soluble C from roots to soil, and that such increases are coupled to the accelerated turnover of nitrogen (N) pools in the rhizosphere. Over the course of 3\uffe2\uff80\uff83years, we measured in situ rates of root exudation from 420 intact loblolly pine (Pinus taeda L.) roots. Trees fumigated with elevated CO2 (200 p.p.m.v. over background) increased exudation rates (\uffce\uffbcg\uffe2\uff80\uff83C\uffe2\uff80\uff83cm\uffe2\uff88\uff921\uffe2\uff80\uff83root\uffe2\uff80\uff83h\uffe2\uff88\uff921) by 55% during the primary growing season, leading to a 50% annual increase in dissolved organic inputs to fumigated forest soils. These increases in root\uffe2\uff80\uff90derived C were positively correlated with microbial release of extracellular enzymes involved in breakdown of organic N (R2\uffe2\uff80\uff83=\uffe2\uff80\uff830.66; P\uffe2\uff80\uff83=\uffe2\uff80\uff830.006) in the rhizosphere, indicating that exudation stimulated microbial activity and accelerated the rate of soil organic matter (SOM) turnover. In support of this conclusion, trees exposed to both elevated CO2 and N fertilization did not increase exudation rates and had reduced enzyme activities in the rhizosphere. Collectively, our results provide field\uffe2\uff80\uff90based empirical support suggesting that sustained growth responses of forests to elevated CO2 in low fertility soils are maintained by enhanced rates of microbial activity and N cycling fuelled by inputs of root\uffe2\uff80\uff90derived C. To the extent that increases in exudation also stimulate SOM decomposition, such changes may prevent soil C accumulation in forest ecosystems.</p>", "keywords": ["0106 biological sciences", "Nitrogen", "Plant Exudates", "Pinus taeda", "04 agricultural and veterinary sciences", "15. Life on land", "Carbon Dioxide", "01 natural sciences", "Plant Roots", "Carbon", "Trees", "Soil", "13. Climate action", "Rhizosphere", "North Carolina", "0401 agriculture", " forestry", " and fisheries", "Soil Microbiology"]}, "links": [{"href": "https://doi.org/10.1111/j.1461-0248.2010.01570.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecology%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1461-0248.2010.01570.x", "name": "item", "description": "10.1111/j.1461-0248.2010.01570.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1461-0248.2010.01570.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-12-22T00:00:00Z"}}, {"id": "10.1007/s11104-011-0759-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:58Z", "type": "Journal Article", "created": "2011-03-08", "title": "Effect Of Biochar Amendment On The Soil-Atmosphere Exchange Of Greenhouse Gases From An Intensive Subtropical Pasture In Northern New South Wales, Australia", "description": "We assessed the effect of biochar incorporation into the soil on the soil-atmosphere exchange of the greenhouse gases (GHG) from an intensive subtropical pasture. For this, we measured N2O, CH4 and CO2 emissions with high temporal resolution from April to June 2009 in an existing factorial experiment where cattle feedlot biochar had been applied at 10\u00a0t\u00a0ha\u22121 in November 2006. Over the whole measurement period, significant emissions of N2O and CO2 were observed, whereas a net uptake of CH4 was measured. N2O emissions were found to be highly episodic with one major emission pulse (up to 502\u00a0\u03bcg N2O-N m\u22122 h\u22121) following heavy rainfall. There was no significant difference in the net flux of GHGs from the biochar amended vs. the control plots. Our results demonstrate that intensively managed subtropical pastures on ferrosols in northern New South Wales of Australia can be a significant source of GHG. Our hypothesis that the application of biochar would lead to a reduction in emissions of GHG from soils was not supported in this field assessment. Additional studies with longer observation periods are needed to clarify the long term effect of biochar amendment on soil microbial processes and the emission of GHGs under field conditions.", "keywords": ["2. Zero hunger", "Biochar", "Nitrogen", "13. Climate action", "Denitrification", "0401 agriculture", " forestry", " and fisheries", "Improved pasture", "04 agricultural and veterinary sciences", "15. Life on land", "Nitrification", "Carbon"]}, "links": [{"href": "https://eprints.qut.edu.au/42094/1/42094A.pdf"}, {"href": "https://doi.org/10.1007/s11104-011-0759-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11104-011-0759-1", "name": "item", "description": "10.1007/s11104-011-0759-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11104-011-0759-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-03-08T00:00:00Z"}}, {"id": "10.1016/j.still.2008.09.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:01Z", "type": "Journal Article", "created": "2008-11-08", "title": "Stratification Ratio Of Soil Organic Matter Pools As An Indicator Of Carbon Sequestration In A Tillage Chronosequence On A Brazilian Oxisol", "description": "Abstract   Long-term no-tillage (NT) leads to profile stratification of soil organic matter (SOM) pools, and the soil organic carbon (SOC) stratification ratio (SR) is an indicator of soil quality. The objective of this report is to assess the feasibility of using SOC-SR as an index for estimating SOC sequestration in NT soils. The effect of a plow tillage (PT) and NT chronosequence on the SR of SOM pools was assessed in an Oxisol in Southern Brazil (50\u00b023\u2032W and 24\u00b036\u2032S). The chronosequence consisted of six sites: (i) native field (NF); (ii) PT of the native field (PNF-1) involving conversion of natural vegetation to cropland; (iii) NT for 10 years (NT-10); (iv) NT for 20 years (NT-20); (v) NT for 22 years (NT-22); (vi) conventional tillage for 22 years (CT-22). Soil samples were collected from four depths (0\u20135\u00a0cm; 5\u201310\u00a0cm; 10\u201320\u00a0cm; 20\u201340\u00a0cm layer) and soil parameters comprised by SOM pools [i.e., C, N, S, particulate organic C (POC), particulate N (PN), stable C (SC) and stable N (SN), microbial biomass C (MBC) and microbial biomass N (MBN), basal respiration (BR), dissolved organic C (DOC), total polysaccharides (TP) and labile polysaccharides (LP)] were measured. In undisturbed NF soil, the SR of all parameters increased with increase in soil depth. In contrast, the SR decreased in PT, and the SOM was uniformly distributed in the soil profile. All NT treatments restored the SR, and were characterized with higher values of all measured parameters compared to NF. The SR for SOC ranged from 1.12 to 1.51 for CT-22 compared with 1.64\u20132.61 SR for NT surface and sub-soil layers, respectively. The SR for POC and PN were higher than those for stable C and N. However, SR for the biological pools (e.g., MBC, MBN and BR) were the highest and strongly correlated with the rate of SOC sequestration. An increase in SR of SOC was also positively correlated with the rate and amount of SOC sequestered. Regression analyses indicated a strong correlation between SR of SOC and all parameters monitored in this study. The data showed that the SR of SOC is an efficient indicator of C sequestration in long-term NT management.", "keywords": ["Carbon sequestration", "2. Zero hunger", "Soil organic matter", "Chronosequence", "No-till", "Black oats", "04 agricultural and veterinary sciences", "15. Life on land", "Soil fertility", "Stratification ratio", "Soil quality", "Lupine", "6. Clean water", "Tillage", "Soil erosion", "0401 agriculture", " forestry", " and fisheries", "Som pools", "Oxisols", "Field Scale", "Conservation tillage"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2008.09.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2008.09.003", "name": "item", "description": "10.1016/j.still.2008.09.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2008.09.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-04-01T00:00:00Z"}}, {"id": "10.1007/s10705-009-9333-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:49Z", "type": "Journal Article", "created": "2009-12-10", "title": "Response Of Bulk Chemical Composition, Lignin And Carbohydrate Signature To Grassland Conversion In A Ley-Arable Cropping System", "description": "Grassland conversion is a common practice in ley-arable cropping systems. The effects of such a disturbance on soil organic matter status and its consequences for biogeochemical cycles in terms of soil organic matter (SOM) dynamics remain poorly understood. We investigated changes occurring in soil organic carbon and nitrogen content, bulk chemical composition and in lignin as well as carbohydrate signature during 2 years after grassland conversion into arable land. Our results showed a rapid SOM decrease in the first few months after the conversion. The bulk chemical composition as seen by solid-state 13C NMR spectroscopy was similar under grassland and arable land, whereas different landuse had an impact on the contribution of plant litter compounds to SOM. SOM of arable soil had higher lignin contents and lower contents of non-cellulosic neutral carbohydrates than grassland soil. After grassland conversion, the most prominent change was an increase of the SOM\u2019s content of non-cellulosic carbohydrate above the contents recorded for grassland or arable land. Principal component analysis indicated that SOM chemical characteristics of converted grassland even after 2 years are similar to those of initial grassland. We conclude that the chemical composition of SOM is less susceptible to rapid change and that re-installation of grassland within some years will safeguard the initial SOM status in ley-arable rotations.", "keywords": ["[SDE] Environmental Sciences", "2. Zero hunger", "GRASSLAND", "[SDV]Life Sciences [q-bio]", "SOIL ORGANIC MATTER", "04 agricultural and veterinary sciences", "RETOURNEMENT DE PRAIRIE", "15. Life on land", "GRASSLAND CONVERSION", "01 natural sciences", "630", "NITROGEN", "[SDV] Life Sciences [q-bio]", "ORGANIC CARBON", "BIOGEOCHEMICAL CYCLE", "CHEMISTRY", "[SDE]Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Rumpel, Corn\u00e9lia, Chabbi, Abad,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10705-009-9333-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10705-009-9333-0", "name": "item", "description": "10.1007/s10705-009-9333-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10705-009-9333-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-12-11T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2007.03.019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:48Z", "type": "Journal Article", "created": "2007-04-19", "title": "Earthworm Activity Affects Soil Aggregation And Organic Matter Dynamics According To The Quality And Localization Of Crop Residues - An Experimental Study (Madagascar)", "description": "Abstract   Soil organic matter (SOM) plays a central role in the functioning of ecosystems, and is beneficial from agronomic and from environmental point of view. Alternative cultural systems, like direct seeding mulch-based cropping (DMC) systems, enhance carbon (C) sequestration in agricultural soils and lead to an increase in soil macrofauna. This study aimed at evaluating in field mesocosms the effects of earthworms on SOM dynamics and aggregation, as influenced by residue quality and management.  In the highlands of Madagascar, buckets were filled with 2\u00a0mm-sieved clayey Inceptisol. The effects of earthworm addition (Pontoscolex corethrurus), residue addition (rice, soybean, and no addition), and localization of the residues (mulched or buried) were studied. After 5 months, soil from mesocosms with earthworms had significantly lower C concentration and higher proportion of large water-stable macroaggregates (>2000\u00a0\u03bcm) than those without earthworms, because of the production of large macroaggregates by earthworms. Earthworm effect on soil aggregation was greater with rice than with soybean residues. Casts (extracted from mesocosms with earthworms) were slightly enriched in C and showed significantly higher mineralization than the non-ingested soil (NIS), showing that at the time scale of our study, the carbon contained in the casts was not protected against mineralization. No difference in microbial biomass was found between casts and NIS.  Complementary investigations are necessary to assess long-term effects of earthworm addition on SOM dynamics, the conditions of occurrence of physical protection, and the impact of earthworms on the structure of the microbial community.", "keywords": ["P33 - Chimie et physique du sol", "Pontoscolex corethrurus", "[SDE] Environmental Sciences", "2. Zero hunger", "residue management", "microbial biomass", "carbon mineralization", "Carbon mineralization", "Direct seeding mulch-based cropping systems", "Microbial biomass", "Residue management", "P34 - Biologie du sol", "04 agricultural and veterinary sciences", "15. Life on land", "630", "carbon protection", "13. Climate action", "[SDE]Environmental Sciences", "Carbon protection", "0401 agriculture", " forestry", " and fisheries", "direct seeding mulch based cropping systems"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2007.03.019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2007.03.019", "name": "item", "description": "10.1016/j.soilbio.2007.03.019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2007.03.019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-08-01T00:00:00Z"}}, {"id": "10.1111/gcb.12338", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:25Z", "type": "Journal Article", "created": "2013-07-29", "title": "Investigating The Long-Term Legacy Of Drought And Warming On The Soil Microbial Community Across Five European Shrubland Ecosystems", "description": "Abstract<p>We investigated how the legacy of warming and summer drought affected microbial communities in five different replicated long\uffe2\uff80\uff90term (&gt;10\uffc2\uffa0years) field experiments across Europe (EU\uffe2\uff80\uff90FP7 INCREASE infrastructure). To focus explicitly on legacy effects (i.e., indirect rather than direct effects of the environmental factors), we measured microbial variables under the same moisture and temperature in a brief screening, and following a pre\uffe2\uff80\uff90incubation at stable conditions. Specifically, we investigated the size and composition of the soil microbial community (PLFA) alongside measurements of bacterial (leucine incorporation) and fungal (acetate in ergosterol incorporation) growth rates, previously shown to be highly responsive to changes in environmental factors, and microbial respiration. We found no legacy effects on the microbial community size, composition, growth rates, or basal respiration rates at the effect sizes used in our experimental setup (0.6\uffc2\uffa0\uffc2\uffb0C, about 30% precipitation reduction). Our findings support previous reports from single short\uffe2\uff80\uff90term ecosystem studies thereby providing a clear evidence base to allow long\uffe2\uff80\uff90term, broad\uffe2\uff80\uff90scale generalizations to be made. The implication of our study is that warming and summer drought will not result in legacy effects on the microbial community and their processes within the effect sizes here studied. While legacy effects on microbial processes during perturbation cycles, such as drying\uffe2\uff80\uff93rewetting, and on tolerance to drought and warming remain to be studied, our results suggest that any effects on overall ecosystem processes will be rather limited. Thus, the legacies of warming and drought should not be prioritized factors to consider when modeling contemporary rates of biogeochemical processes in soil.</p>", "keywords": ["2. Zero hunger", "decomposition", "Hot Temperature", "Bacteria", "soil C cycle", "Climate Change", "global climate change", "warming adaptation", "Fungi", "04 agricultural and veterinary sciences", "15. Life on land", "carbon sequestration", "6. Clean water", "ecosystem service", "Droughts", "Europe", "Leucine", "13. Climate action", "temperature acclimation", "0401 agriculture", " forestry", " and fisheries", "mineralization", "Seasons", "Ecosystem", "Soil Microbiology", "Acetic Acid"]}, "links": [{"href": "https://doi.org/10.1111/gcb.12338"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.12338", "name": "item", "description": "10.1111/gcb.12338", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.12338"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-10-10T00:00:00Z"}}, {"id": "10.5194/gmd-10-1903-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:17Z", "type": "Journal Article", "created": "2017-05-17", "title": "GLEAM\u00a0v3: satellite-based land evaporation and root-zone soil moisture", "description": "<p>Abstract. The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. In this study, the next version of this model (v3) is presented. Key changes relative to the previous version include (1)\uffc2\uffa0a revised formulation of the evaporative stress, (2)\uffc2\uffa0an optimized drainage algorithm, and (3)\uffc2\uffa0a new soil moisture data assimilation system. GLEAM\uffc2\uffa0v3 is used to produce three new data sets of terrestrial evaporation and root-zone soil moisture, including a 36-year data set spanning 1980\uffe2\uff80\uff932015, referred to as v3a (based on satellite-observed soil moisture, vegetation optical depth and snow-water equivalent, reanalysis air temperature and radiation, and a multi-source precipitation product), and two satellite-based data sets. The latter share most of their forcing, except for the vegetation optical depth and soil moisture, which are based on observations from different passive and active C- and L-band microwave sensors (European Space Agency Climate Change Initiative, ESA CCI) for the v3b data set (spanning 2003\uffe2\uff80\uff932015) and observations from the Soil Moisture and Ocean Salinity (SMOS) satellite in the v3c data set (spanning 2011\uffe2\uff80\uff932015). Here, these three data sets are described in detail, compared against analogous data sets generated using the previous version of GLEAM (v2), and validated against measurements from 91 eddy-covariance towers and 2325 soil moisture sensors across a broad range of ecosystems. Results indicate that the quality of the v3 soil moisture is consistently better than the one from v2: average correlations against in situ surface soil moisture measurements increase from 0.61 to 0.64 in the case of the v3a data set and the representation of soil moisture in the second layer improves as well, with correlations increasing from 0.47 to 0.53. Similar improvements are observed for the v3b and c data sets. Despite regional differences, the quality of the evaporation fluxes remains overall similar to the one obtained using the previous version of GLEAM, with average correlations against eddy-covariance measurements ranging between 0.78 and 0.81 for the different data sets. These global data sets of terrestrial evaporation and root-zone soil moisture are now openly available at www.GLEAM.eu and may be used for large-scale hydrological applications, climate studies, or research on land\uffe2\uff80\uff93atmosphere feedbacks.                     </p>", "keywords": ["TERRESTRIAL WATER FLUXES", "QE1-996.5", "PONDEROSA PINE", "CARBON-DIOXIDE EXCHANGE", "WACMOS-ET PROJECT", "TRIPLE COLLOCATION ANALYSIS", "DATA ASSIMILATION SYSTEM", "Geology", "15. Life on land", "01 natural sciences", "DECIDUOUS FOREST", "EDDY-COVARIANCE", "PARAMETER RETRIEVAL MODEL", "13. Climate action", "Earth and Environmental Sciences", "ENERGY-BALANCE", "14. Life underwater", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/10/1903/2017/gmd-10-1903-2017.pdf"}, {"href": "https://doi.org/10.5194/gmd-10-1903-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-10-1903-2017", "name": "item", "description": "10.5194/gmd-10-1903-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-10-1903-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-08-05T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2017.07.064", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:53Z", "type": "Journal Article", "created": "2017-07-18", "title": "Response of soil dissolved organic matter to microplastic addition in Chinese loess soil", "description": "Plastic debris is accumulating in agricultural land due to the increased use of plastic mulches, which is causing serious environmental problems, especially for biochemical and physical properties of the soil. Dissolved organic matter (DOM) plays a central role in driving soil biogeochemistry, but little information is available on the effects of plastic residues, especially microplastic, on soil DOM. We conducted a soil-incubation experiment in a climate-controlled chamber with three levels of microplastic added to loess soil collected from the Loess Plateau in China: 0% (control, CK), 7% (M1) and 28% (M2) (w/w). We analysed the soil contents of dissolved organic carbon (DOC), dissolved organic nitrogen (DON), NH4+, NO3-, dissolved organic phosphorus (DOP), and PO43- and the activities of fluorescein diacetate hydrolase (FDAse) and phenol oxidase. The higher level of microplastic addition significantly increased the nutrient contents of the DOM solution. The lower level of addition had no significant effect on the DOM solution during the first seven days, but the rate of DOM decomposition decreased in M1 between days 7 and 30, which increased the nutrient contents. The microplastic facilitated the accumulation of high-molecular-weight humic-like material between days 7 and 30. The DOM solutions were mainly comprised of high-molecular-weight humic-like material in CK and M1 and of high-molecular-weight humic-like material and tyrosine-like material in M2. The Microplastic stimulated the activities of both enzymes. Microplastic addition thus stimulated enzymatic activity, activated pools of organic C, N, and P, and was beneficial for the accumulation of dissolved organic C, N and P.", "keywords": ["2. Zero hunger", "China", "Nitrogen", "Microplastic", "0211 other engineering and technologies", "Excitation-emission matrix (EEM)", "Agriculture", "Phosphorus", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Carbon", "6. Clean water", "Soil", "Dissolved organic carbon (DOC)", "Dissolved organic phosphorus (DOP)", "Models", " Chemical", "13. Climate action", "Dissolved organic nitrogen (DON)", "Organic Chemicals", "Plastics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.chemosphere.2017.07.064"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemosphere.2017.07.064", "name": "item", "description": "10.1016/j.chemosphere.2017.07.064", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemosphere.2017.07.064"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-01T00:00:00Z"}}, {"id": "10.1111/gcb.12347", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:25Z", "type": "Journal Article", "created": "2013-08-08", "title": "Assessing The Performance Of The Photo-Acoustic Infrared Gas Monitor For Measuring Co2, N2o, And Ch4 Fluxes In Two Major Cereal Rotations", "description": "Abstract<p>Rapid, precise, and globally comparable methods for monitoring greenhouse gas (GHG) fluxes are required for accurate GHG inventories from different cropping systems and management practices. Manual gas sampling followed by gas chromatography (GC) is widely used for measuring GHG fluxes in agricultural fields, but is laborious and time\uffe2\uff80\uff90consuming. The photo\uffe2\uff80\uff90acoustic infrared gas monitoring system (PAS) with on\uffe2\uff80\uff90line gas sampling is an attractive option, although it has not been evaluated for measuring GHG fluxes in cereals in general and rice in particular. We compared N2O, CO2, and CH4 fluxes measured by GC and PAS from agricultural fields under the rice\uffe2\uff80\uff93wheat and maize\uffe2\uff80\uff93wheat systems during the wheat (winter), and maize/rice (monsoon) seasons in Haryana, India. All the PAS readings were corrected for baseline drifts over time and PAS\uffe2\uff80\uff90CH4 (PCH4) readings in flooded rice were corrected for water vapor interferences. The PCH4 readings in ambient air increased by 2.3\uffc2\uffa0ppm for every 1000\uffc2\uffa0mg\uffc2\uffa0cm\uffe2\uff88\uff923 increase in water vapor. The daily CO2, N2O, and CH4 fluxes measured by GC and PAS from the same chamber were not different in 93\uffe2\uff80\uff9398% of all the measurements made but the PAS exhibited greater precision for estimates of CO2 and N2O fluxes in wheat and maize, and lower precision for CH4 flux in rice, than GC. The seasonal GC\uffe2\uff80\uff90 and PAS\uffe2\uff80\uff90N2O (PN2O) fluxes in wheat and maize were not different but the PAS\uffe2\uff80\uff90CO2 (PCO2) flux in wheat was 14\uffe2\uff80\uff9339% higher than that of GC. In flooded rice, the seasonal PCH4 and PN2O fluxes across N levels were higher than those of GC\uffe2\uff80\uff90CH4 and GC\uffe2\uff80\uff90N2O fluxes by about 2\uffe2\uff80\uff90 and 4fold, respectively. The PAS (i) proved to be a suitable alternative to GC for N2O and CO2 flux measurements in wheat, and (ii) showed potential for obtaining accurate measurements of CH4 fluxes in flooded rice after making correction for changes in humidity.</p>", "keywords": ["Chromatography", " Gas", "Spectrophotometry", " Infrared", "Nitrous Oxide", "Zea mays", "01 natural sciences", "7. Clean energy", "greenhouse gases", "climate", "Triticum", "agriculture", "0105 earth and related environmental sciences", "cereals", "2. Zero hunger", "Air Pollutants", "nitrous oxide", "methane", "rice", "carbon dioxide", "Oryza", "Acoustics", "04 agricultural and veterinary sciences", "Carbon Dioxide", "monitoring", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Methane", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1111/gcb.12347"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.12347", "name": "item", "description": "10.1111/gcb.12347", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.12347"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-11-11T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2004.02.014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:19Z", "type": "Journal Article", "created": "2004-04-10", "title": "Conversion Of Grassy Cerrado Into Riparian Forest And Its Impact On Soil Organic Matter Dynamics In An Oxisol From Southeast Brazil", "description": "Abstract   The purpose of this study was to evaluate possible changes in soil organic matter (SOM) dynamics after establishing riparian forests on soils previously under Brazilian savannah (\u201ccerrado\u201d). We selected a site with a homogeneous Typic Acric Red\u2013Yellow Latosol (Anionic Acrustox). Part of this site was maintained under native vegetation (grassy cerrado C 4 -dominated), and part was planted with riparian species (C 3 ) in 1992. Litter and soil samples were collected and analysed (total organic carbon, total nitrogen,  \u03b4  13 C isotopic analysis, and SOM density fractionation). Due to the predominance of grasses, carbon input was mainly below ground in cerrado. In such a soil, the decomposition process was more efficient, and much C and N were transferred to the heavy fraction. When forest was planted, there was a change from belowground to aboveground litter input (largely superficial), leading to higher C and N stocks in the light and lower stocks in the heavy fraction (resulting in lower stocks for bulk soil). The introduction of the C 3  vegetation decreased the soil  \u03b4  13 C signature. It has occurred particularly in the topsoil (0\u20135 cm) due to the deposition of C 3  litter on the soil surface. At the same time, the presence of cerrado-remaining C below 5 cm maintained higher  \u03b4  13 C values in this layer. During the 8 years after forest plantation, the input mode influenced both the  \u03b4  13 C distribution with depth, and the C replacement: between 0 and 2.5 cm, nearly 50% of cerrado-derived C was replaced by forest-derived C, while below 5 cm, replacement was around 20%. The relatively rapid C dynamics in this Oxisol (27% replacement in the top 20 cm after 8 years of forest plantation) shows that, under tropical conditions, significant changes may occur in a short period of time.", "keywords": ["delta-c-13", "decomposition", "c-13 natural-abundance", "particle-size fractions", "turnover", "0401 agriculture", " forestry", " and fisheries", "vegetation changes", "04 agricultural and veterinary sciences", "15. Life on land", "stable carbon isotope", "density fractions", "ratios", "nitrogen"], "contacts": [{"organization": "de Alcantara, F.A., Buurman, P., Furtini Neto, A.E., Curi, N., Roscoe, R.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2004.02.014"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2004.02.014", "name": "item", "description": "10.1016/j.geoderma.2004.02.014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2004.02.014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-12-01T00:00:00Z"}}, {"id": "10.1016/j.energy.2018.09.034", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:03Z", "type": "Journal Article", "created": "2018-09-08", "title": "Spatio-temporal assessment of integrating intermittent electricity in the EU and Western Balkans power sector under ambitious CO2 emission policies", "description": "This work investigates a power dispatch system that aims to supply the power demand of the EU and Western Balkans (EUWB) based on low-carbon generation units, enabled by the expansion of biomass, solar, and wind based electricity. A spatially explicit techno-economic optimization tool simulates the EUWB power sector to explore the dispatch of new renewable electricity capacity on a EUWB scale, under ambitious CO2 emission policies. The results show that utility-scale deployment of renewable electricity is feasible and can contribute about 9\u201339% of the total generation mix, for a carbon price range of 0\u2013200 \u20ac/tCO2 and with the existing capacities of the cross-border transmission network. Even without any explicit carbon incentive (carbon price of 0 \u20ac/tCO2), more than 35% of the variable power in the most ambitious CO2 mitigation scenario (carbon price of 200 \u20ac/tCO2) would be economically feasible to deploy. Spatial assessment of bio-electricity potential (based on forest and agriculture feedstock) showed limited presence in the optimal generation mix (0\u20136%), marginalizing its effect as baseload. Expansion of the existing cross-border transmission capacities helps even out the variability of solar and wind technologies, but may also result in lower installed RE capacity in favor of state-of-the-art natural gas with relatively low sensitivity to increasing carbon taxes. A sensitivity analysis of the investment cost, even under a low-investment scenario and at the high end of the CO2 price range, showed natural gas remains at around 11% of the total generation, emphasizing how costly it would be to achieve the final percentages toward a 100% renewable system.", "keywords": ["Optimization", "Renewable electricity", "330", "0211 other engineering and technologies", "02 engineering and technology", "Decarbonization", "7. Clean energy", "12. Responsible consumption", "Geospatial modeling", "13. Climate action", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Intermittency", "Power transmission"]}, "links": [{"href": "http://pure.iiasa.ac.at/id/eprint/15514/1/Spatio-temporal%20assessment%20of%20integrating%20RE%20in%20EU-WB%20power%20sector_postprint.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/15514/1/Spatio-temporal%20assessment%20of%20integrating%20RE%20in%20EU-WB%20power%20sector_postprint.pdf"}, {"href": "https://doi.org/10.1016/j.energy.2018.09.034"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Energy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.energy.2018.09.034", "name": "item", "description": "10.1016/j.energy.2018.09.034", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.energy.2018.09.034"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2011.06.036", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:15Z", "type": "Journal Article", "created": "2011-07-27", "title": "Carbon Accumulation In The Biomass And Soil Of Different Aged Secondary Forests In The Humid Tropics Of Costa Rica", "description": "Open AccessMinisterio de Ciencia y Tecnolog\u00eda, Costa Rica", "keywords": ["0106 biological sciences", "NATURAL REGENERATION", "PLANTACIONES", "Carbon pools", "Tree plantations", "Biomass models", "ARBOLES", "NATURAL RESERVES", "15. Life on land", "01 natural sciences", "Environmental science", "BIOMASS", "CARBON", "PLANTATIONS", "RESERVAS NATURALES", "Medio Ambiente", "REGENERACION NATURAL", "TREES", "CARBONO", "Succession age", "Natural regeneration", "BIOMASA"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2011.06.036"}, {"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.2011.06.036", "name": "item", "description": "10.1016/j.foreco.2011.06.036", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2011.06.036"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-10-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2013.12.024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:30Z", "type": "Journal Article", "created": "2014-01-24", "title": "Effects Of Long-Term Grazing Disturbance On The Belowground Storage Of Organic Carbon In The Patagonian Monte, Argentina", "description": "The objective of this study was to analyze the effect of grazing disturbance on the amount and the spatial distribution (vertical and horizontal) of root biomass and soil organic carbon (SOC) in order to evaluate whether grazing alters the belowground storage of organic carbon (C) in arid rangelands of the Patagonian Monte. We selected three representative sites (3\u00a0ha each) with low, moderate and high grazing disturbance located far, mid-distance and near the watering point, respectively, in rangelands submitted to sheep grazing for more than 100 years. We assessed the canopy structure and identified the four most frequent plant patch types at each site. We selected four replications of each patch type and extracted a soil sample (0-30\u00a0cm depth) underneath the canopy and in the middle of the nearest inter-patch bare soil area in winter and summer. We assessed the root and soil dry mass and the respective organic C concentration in each sample and then we estimated the total belowground organic C storage at each site. Total plant and perennial grass cover were lower with high than low grazing disturbance while the reverse occurred with dwarf shrub cover. High grazing disturbance led to the increase in total root biomass in the whole soil profile of patch areas and in the upper soil of inter-patch areas. SOC was higher in patch than in inter-patch areas at all sites but at both areas was reduced with high grazing disturbance. This was probably the result of the low total plant cover and the low and recalcitrant contribution of above and below-ground plant litter to soils at sites with high grazing disturbance. Accordingly, these changes did not result in variations in the total belowground organic C storage. We concluded that high grazing disturbance did not affect the total belowground organic C storage but led to changes in the spatial patterning of this organic C storage (i.e shifting from soil to roots).", "keywords": ["0106 biological sciences", "2. Zero hunger", "Carbon Sequestration", "Sheep", "Arid Ecosystems", "Argentina", "Plant Development", "15. Life on land", "Deciduous Shrubs", "Poaceae", "Plant Roots", "01 natural sciences", "Carbon", "Plant Patches", "Soil Organic Carbon", "https://purl.org/becyt/ford/1.6", "Animals", "Biomass", "Herbivory", "https://purl.org/becyt/ford/1", "Root Biomass", "Dwarf Shrubs", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Larreguy, Cecilia, Carrera, Anal\u00eda Lorena, Bertiller, Monica Beatriz,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.jenvman.2013.12.024"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2013.12.024", "name": "item", "description": "10.1016/j.jenvman.2013.12.024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2013.12.024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-02-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2023.118092", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:31Z", "type": "Journal Article", "created": "2023-05-09", "title": "The effects of biochar on soil organic matter pools are not influenced by climate change", "description": "The sustainability of Mediterranean croplands is threatened by climate warming and rainfall reduction. The use of biochar as an amendment represents a tool to store organic carbon (C) in soil. The vulnerability of soil organic C (SOC) to the joint effects of climate change and biochar application needs to be better understood by investigating its main pools. Here, we evaluated the effects of partial rain exclusion (\u223c30%) and temperature increase (\u223c2\u00a0\u00b0C), combined with biochar amendment, on the distribution of soil organic matter (SOM) into particulate organic matter (POM) and the mineral-associated organic matter (MAOM). A set of indices suggested an increase in thermal stability in response to biochar addition in both POM and MAOM fractions. The MAOM fraction, compared to the POM, was particularly enriched in labile substances. Data from micro-Raman spectroscopy suggested that the POM fraction contained biochar particles with a more ordered structure, whereas the structural order decreased in the MAOM fraction, especially after climate manipulation. Crystalline Fe oxides (hematite) and a mix of ferrihydrite and hematite were detected in the POM and in the MAOM fraction, respectively, of the unamended plots under climate manipulation, but not under ambient conditions. Conversely, in the amended soil, climate manipulation did not induce changes in Fe speciation. Our work underlines the importance of discretely taking into account responses of both MAOM and POM to better understand the mechanistic drivers of SOC storage and dynamics.", "keywords": ["Particulate organic matter", " Mineral-associated organic matter", " Open top chambers", " Fe EXAFS", " Raman spectroscopy", " Thermal analysis", "Take urgent action to combat climate change and its impacts", "550", "Climate Change", "Fe EXAFS", "15. Life on land", "6. Clean water", "Carbon", "Soil", "Open top chamber", "13. Climate action", "Particulate organic matter", "Charcoal", "Raman spectroscopy", "Mineral-associated organic matter", "Particulate Matter", "Thermal analysis", "Open top chambers"]}, "links": [{"href": "https://iris.univr.it/bitstream/11562/1093186/2/JEMA%2c%202023%20-%20The%20effects%20of%20biochar%20on%20SOM%20pools%20are%20not.pdf"}, {"href": "https://doi.org/10.1016/j.jenvman.2023.118092"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2023.118092", "name": "item", "description": "10.1016/j.jenvman.2023.118092", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2023.118092"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2023.118532", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:31Z", "type": "Journal Article", "created": "2023-07-14", "title": "Predicting spatiotemporal soil organic carbon responses to management using EPIC-IIASA meta-models", "description": "The management of Soil Organic Carbon (SOC) is a critical component of both nature-based solutions for climate change mitigation and global food security. Agriculture has contributed substantially to a reduction in global SOC through cultivation, thus there has been renewed focus on management practices which minimize SOC losses and increase SOC gain as pathways towards maintaining healthy soils and reducing net greenhouse gas emissions. Mechanistic models are frequently used to aid in identifying these pathways due to their scalability and cost-effectiveness. Yet, they are often computationally costly and rely on input data that are often only available at coarse spatial resolutions. Herein, we build statistical meta-models of a multifactorial crop model in order to both (a) obtain a simplified model response and (b) explore the biophysical determinants of SOC responses to management and the geospatial heterogeneity of SOC dynamics across Europe. Using 5600 unique simulations of crop growth from the gridded Environmental Policy Integrated Climate-based Gridded Agricultural Model (EPIC-IIASA GAM) covering 86,000 simulation units across Europe, we build multiple polynomial regression ensemble meta-models for unique combinations of climate and soil across Europe in order to predict SOC responses to varying management intensities. We find that our biophysically-explicit meta models are highly accurate (R2\u00a0=\u00a00.97) representations of the full mechanistic model and can be used in lieu of the full EPIC-IIASA GAM model for the estimation of SOC responses to cropland management. Model stratification by means of climate and soil clustering improved the performance of the meta-models compared to the full EU-scale model. In regional and local validations of the meta-model predictions, we find that the meta-models largely capture broad SOC dynamics such as the linear nature of SOC responses to residue application, yet they often underestimate the magnitude of SOC responses to management. Furthermore, we find notable differences between the results from the biophysically-specific models throughout Europe, which point to spatially-distinct SOC responses to management choices such as nitrogen fertilizer application rates and residue retention that illustrate the potential for these models to be used for future management applications. While more accurate input data, calibration, and validation will be needed to accurately predict SOC change, we demonstrate the use of our meta-models for biophysical cluster and field study scale analyses of broad SOC dynamics with basically zero fine-tuning of the models needed. This work provides a framework for simplifying large-scale agricultural models and identifies the opportunities for using these meta-models for assessing SOC responses to management at a variety of scales.", "keywords": ["2. Zero hunger", "Europe", "Soil", "Carbon Sequestration", "Models", " Statistical", "550", "13. Climate action", "11. Sustainability", "Agriculture", "15. Life on land", "630", "Carbon"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/18928/1/Ippolito_et_al_manuscript_clean.pdf"}, {"href": "https://doi.org/10.1016/j.jenvman.2023.118532"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2023.118532", "name": "item", "description": "10.1016/j.jenvman.2023.118532", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2023.118532"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.1016/j.jhazmat.2024.136780", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:32Z", "type": "Journal Article", "created": "2024-12-05", "title": "Sensitive and accurate determination of 32 PFAS in human serum using online SPE-UHPLC-HRMS", "description": "Per- and polyfluoroalkyl substances' (PFAS) extreme persistence has been linked to many adverse effects on human health including increased risk of certain cancers. This study presents the development and validation of a new, highly sensitive method for the quantification of 32 PFAS in human serum using online solid-phase extraction (SPE) coupled with ultra-high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). Legacy and emerging PFAS were targeted. Main steps of sample pretreatment include protein precipitation (PP), pellet rinsing, centrifugation, preconcentration through solvent evaporation, and online SPE using a weak anion-exchange polymeric sorbent. The PP and pellet-rinsing procedures were optimized through a comprehensive exploration of solvent combinations. Following this, a pretreatment that offers the best compromise for the targeted PFAS was identified using principal component analysis. The method demonstrated excellent linearity (R\u00b2 = 0.977-0.997) with limits of quantification ranging from 8.9 to 27\u00a0ng/L, 5 to 15 times lower than previous methods. Precision (intraday 2.6-14.0\u00a0% and interday 1.3-11.0\u00a0% relative standard deviation) and accuracy (recoveries 72.7-106\u00a0%) were robust. The method was validated in accordance with ISO/IEC 17025 and successfully applied to five human serum samples, confirming its suitability for high-throughput profiling of PFAS in biomonitoring studies. This method is the first to use online SPE for the simultaneous determination of a broad range of PFAS, including ether congeners such as perfluoro(2-ethoxyethane) sulfonic acid and Nafion byproduct 2. Furthermore, control charts were employed to assess instrument performance during routine analysis and implement necessary actions.", "keywords": ["Human biomonitoring", "Fluorocarbons", "PFAS", "biomonitoring", "Method development", "Solid Phase Extraction", "628", "Humans", "Serum pretreatment", "High resolution mass spectrometry", "Chromatography", " High Pressure Liquid", "Mass Spectrometry", "543"]}, "links": [{"href": "https://iris.univr.it/bitstream/11562/1159353/1/2025%20Sensitive%20and%20accurate%20determination%20of%2032%20PFAS%20in%20human%20serum%20using%20SPE-UHPLC-HRMS.pdf"}, {"href": "https://doi.org/10.1016/j.jhazmat.2024.136780"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hazardous%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jhazmat.2024.136780", "name": "item", "description": "10.1016/j.jhazmat.2024.136780", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jhazmat.2024.136780"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-01T00:00:00Z"}}, {"id": "10.1016/j.njas.2011.05.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:35Z", "type": "Journal Article", "created": "2011-06-27", "title": "Life Cycle Analysis Of Greenhouse Gas Emissions From Organic And Conventional Food Production Systems, With And Without Bio-Energy Options", "description": "AbstractThe Nafferton Factorial Systems Comparison experiments were begun in 2003 to provide data on the production and quality effects of a whole spectrum of different crop production systems ranging from fully conventional to fully organic. In this paper, the crop production data for the first 4 years of the experiments have been used to conduct a life cycle analysis of the greenhouse gas (GHG) emissions from organic and conventional production systems. Actual yield and field activity data from two of the treatments in the experiments (a stocked organic system and a stockless conventional system) were used to determine the GHG emissions per hectare and per MJ of human food energy produced, using both the farm gate and wider society as system boundaries. Emissions from these two baseline scenarios were compared with six other modelled scenarios: conventional stocked system, a stockless system where all crop residues were incorporated into the soil, two stocked systems where manure was used for biogas production, and two stockless systems where all crop residues were removed from the field and used for bio-energy production. Changing the system boundary from the farm gate to wider society did not substantially alter the GHG emissions per hectare of land when organic production methods were used; however, in conventional systems, which rely on more off-farm inputs, emissions were much greater per hectare when societal boundaries were used. Incorporating on-farm bioenergy production into the system allowed GHG emissions to be offset by energy generation. In the case of the organic system that included pyrolysis of crop residues, net GHG emissions were negative, indicating that energy offsets and sequestration of C in biochar can completely offset emissions of GHG from food production. The analysis demonstrates the importance of considering system boundaries and the end use of all agricultural products when conducting life cycle analyses of food production systems.", "keywords": ["2. Zero hunger", "Carbon sequestration", "Organic farming", "0211 other engineering and technologies", "Plant Science", "02 engineering and technology", "15. Life on land", "Development", "7. Clean energy", "6. Clean water", "12. Responsible consumption", "Mixed farming", "13. Climate action", "11. Sustainability", "Greenhouse gas emissions", "Crop production systems", "0202 electrical engineering", " electronic engineering", " information engineering", "Animal Science and Zoology", "Off-farm inputs", "Life cycle analysis", "Agronomy and Crop Science", "Food Science"]}, "links": [{"href": "https://doi.org/10.1016/j.njas.2011.05.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/NJAS%3A%20Wageningen%20Journal%20of%20Life%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.njas.2011.05.002", "name": "item", "description": "10.1016/j.njas.2011.05.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.njas.2011.05.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-12-01T00:00:00Z"}}, {"id": "10.1016/j.rser.2012.09.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:39Z", "type": "Journal Article", "created": "2012-10-04", "title": "Harmonising Bioenergy Resource Potentials\u2014Methodological Lessons From Review Of State Of The Art Bioenergy Potential Assessments", "description": "Published estimates of the potential of bioenergy vary widely, mainly due to the heterogeneity of methodologies, assumptions and datasets employed. These discrepancies are confusing for policy and it is thus important to have scientific clarity on the basis of the assessment outcomes. Such clear insights can enable harmonisation of the different assessments. This review explores current state of the art approaches and methodologies used in bioenergy assessments, and identifies key elements that are critical determinants of bioenergy potentials. We apply the lessons learnt from the review exercise to compare and harmonise a selected set of country based bioenergy potential studies, and provide recommendations for conducting more comprehensive assessments. Depending on scenario assumptions, the harmonised technical biomass potential estimates up to 2030 in the selected countries range from 5.2 to 27.3 EJ in China, 1.1 to 18.8 EJ in India, 2.0 to 10.9 EJ in Indonesia, 1.6 to 7.0 EJ in Mozambique and 9.3 to 23.5 EJ in the US. From the review, we observed that generally, current studies do not cover all the basic (sustainability) elements expected in an ideal bioenergy assessment and there are marked differences in the level of parametric detail and methodological transparency between studies. Land availability and suitability lack spatial detail and especially degraded and marginal lands are poorly evaluated. Competition for water resources is hardly taken into account and biomass yields are based mostly on crude ecological zoning criteria. A few studies take into account improvements in management of agricultural and forestry production systems, but the underlying assumptions are hardly discussed. Competition for biomass resources among the various applications is crudely analysed in most studies and key assumptions such as demographic dynamics, biodiversity protection criteria, etc. are not explicitly discussed. To facilitate more comprehensive bioenergy assessments, we recommend an integrated analytical framework that includes all the key factors, employs high resolution geo-referenced datasets and accounts for potential feedback effects.", "keywords": ["greenhouse-gas", "spatial-distribution", "0211 other engineering and technologies", "Review", "02 engineering and technology", "7. Clean energy", "12. Responsible consumption", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Biomass", "SDG 15 - Life on Land", "2. Zero hunger", "Energy", "Milieukunde", "Methodology", "bio-energy", "Scheikunde", "15. Life on land", "plantation biomass resources", "carbon sequestration", "6. Clean water", "integrated approach", "sustainable bioenergy", "land-use scenarios", "13. Climate action", "climate-change", "water-use", "Potential"]}, "links": [{"href": "https://doi.org/10.1016/j.rser.2012.09.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Renewable%20and%20Sustainable%20Energy%20Reviews", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.rser.2012.09.002", "name": "item", "description": "10.1016/j.rser.2012.09.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.rser.2012.09.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-12-01T00:00:00Z"}}, {"id": "10.1007/s10705-025-10429-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:50Z", "type": "Journal Article", "created": "2025-08-20", "title": "Regenerating productivity after soil fertility depletion in a 20-year cotton\u2013maize rotation in Benin", "description": "Abstract           <p>Soil degradation is a major challenge in Sub-Saharan Africa, where integrated soil fertility management has been promoted to restore productivity. A long-term experiment (1972\uffe2\uff80\uff931992) run in Benin consisted of two phases: a depletion phase (1972\uffe2\uff80\uff931980) with varying levels of mineral and organic fertilisation, and a regeneration phase (1981\uffe2\uff80\uff931992) where all plots received full fertilisation and organic matter additions. Soils were sampled at 0\uffe2\uff80\uff9320\uffc2\uffa0cm depth in 1973, 1974, 1982, and 1989 to assess fertility changes. Mineral fertilisation (N, P, K) and plant biomass management (crop residue retention and biomass additions) significantly influenced seed cotton and maize grain yields during the depletion phase. Soil organic carbon declined consistently in all treatments during depletion but remained stable during regeneration. The long-term effect was evident only in seed cotton yield during depletion. In contrast, due to high variability, maize grain yield showed no consistent trend. The combined use of organic resources and mineral fertilisers helped maintain crop productivity but led to declining soil chemical properties in this Ferralsol. The analysis of this outdated yet unpublished dataset shed light on how long-term soil depletion effects persist over time, even when soil fertility management is restored, indicating a sort of \uffe2\uff80\uff98soil memory\uffe2\uff80\uff99. The persistence of these effect suggests that regenerative interventions must begin before critical thresholds of degradation are crossed. Future research should focus on alternative measures to restore/maintain soil fertility not evaluated in this experiment, such as conservation tillage or legume integration, to provide long-term benefits for smallholder farmers facing soil fertility challenges.</p", "keywords": ["Crop residues", "diversification", "propri\u00e9t\u00e9 physicochimique du sol", "IMPACT", "http://aims.fao.org/aos/agrovoc/c_7170", "rendement des cultures", "Cotton-maize yields", "Nutrient cycling", "http://aims.fao.org/aos/agrovoc/c_875", "fertilisation", "CARBON", "CROP PRODUCTIVITY", "http://aims.fao.org/aos/agrovoc/c_10176", "Long-term experiment", "mauvaise herbe", "http://aims.fao.org/aos/agrovoc/c_2018", "http://aims.fao.org/aos/agrovoc/c_7165", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "COMPOST", "pratique culturale", "http://aims.fao.org/aos/agrovoc/c_8511", "http://aims.fao.org/aos/agrovoc/c_10795", "http://aims.fao.org/aos/agrovoc/c_7168", "http://aims.fao.org/aos/agrovoc/c_35657", "Gossypium", "Soil organic carbon", "MEMORY", "http://aims.fao.org/aos/agrovoc/c_7182", "Soil's memory", "non-travail du sol", "http://aims.fao.org/aos/agrovoc/c_8fc04948", "http://aims.fao.org/aos/agrovoc/c_331583", "STATE", "ORGANIC-MATTER", "fertilit\u00e9 du sol", "s\u00e9questration du carbone", "http://aims.fao.org/aos/agrovoc/c_8347", "YIELD", "d\u00e9gradation du sol", "conservation des sols", "MINERAL FERTILIZER", "http://aims.fao.org/aos/agrovoc/c_3335", "gestion int\u00e9gr\u00e9e de la fertilit\u00e9 des sols", "http://aims.fao.org/aos/agrovoc/c_2344", "mati\u00e8re organique du sol"]}, "links": [{"href": "https://doi.org/10.1007/s10705-025-10429-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nutrient%20Cycling%20in%20Agroecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10705-025-10429-1", "name": "item", "description": "10.1007/s10705-025-10429-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10705-025-10429-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-08-20T00:00:00Z"}}, {"id": "10.1016/j.agee.2015.08.013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:27Z", "type": "Journal Article", "created": "2015-08-28", "title": "Short-Term Conservation Agriculture And Biomass-C Input Impacts On Soil C Dynamics In A Savanna Ecosystem In Cambodia", "description": "Abstract   Conservation agriculture (CA) is an effective tool that is used to increase soil C sequestration and enhance soil quality and agronomic productivity. However, rigorous empirical evidence from Southeast Asia, particularly in the Cambodian agro-ecosystem, is still scarce. We hypothesized that high and diversified biomass-C inputs in CA might be the first step toward to increase SOC in the topsoil by creating the C flow to support C storage overtime. Thus, the aim of this study was to quantify the short-term (i.e., five year) impacts of soil management and cropping systems on soil organic C (SOC), soil total N (STN), particulate organic C (POC) and mineral-associated organic C (MAOC). There were three distinct experiments comprised of a combination of cover and main crops including rice-, soybean- and cassava-based cropping systems, hereafter designated as RcCS, SbCS and CsCS, respectively. The experimental plots were laid out in a randomized complete block design with three replicates. Soil management treatments included conventional tillage (CT) and no-till (NT) and a selected adjacent area of reference vegetation (RV). Soil sampling was conducted in 2011 and 2013 at seven depths (0\u20135, 5\u201310, 10\u201320, 20\u201340, 40\u201360, 60\u201380 and 80\u2013100\u00a0cm). Soil management and crop sequences significantly affected SOC and STN stocks in all three cropping systems. On average, NT SOC stocks at 0\u20135\u00a0cm depth was greater than those of CT by 10%, 20% and 18% and STN stocks by 8%, 25% and 16% for RcCS, SbCS and CsCS, respectively. SOC levels followed the order RV\u00a0>\u00a0NT\u00a0>\u00a0CT. SOC stocks in the subsoil layers were consistently lower in NT than in CT in all three cropping systems. POC stocks at 0\u20135\u00a0cm depth in NT were on average 22%, 20% and 78% greater than those in CT in RcCS, SbCS and CsCS, respectively. However, significant differences were detected only in RcCS and CsCS. The major POC stocks were found at 0\u201320\u00a0cm depth. NT treatments in SbCS stored 9% greater MAOC stocks at 0\u20135\u00a0cm depth than those in CT, and an increasing trend of NT was observed in RcCS and CsCS. In all three cropping systems, NT systems with diversified crop species significantly increased SOC stocks ranging by 6 to 28% and POC stocks by 56\u2013127% in the surface soils and tended to restore SOC and POC in the subsoil layers after five years. The results leads to accept the hypothesis that short-term CA associated with high biomass-C inputs (particularly bi-annual rotations) promotes SOC recovery in the topsoil layer and creates a potential to increase SOC in the subsoil layers when deep-rooting cover crops are included in crop rotations.", "keywords": ["P33 - Chimie et physique du sol", "cycle du carbone", "sol", "Glycine max", "Manihot esculenta", "F08 - Syst\u00e8mes et modes de culture", "teneur en mati\u00e8re organique", "agro\u00e9cologie", "Oryza sativa", "01 natural sciences", "utilisation des terres", "agriculture alternative", "http://aims.fao.org/aos/agrovoc/c_5388", "http://aims.fao.org/aos/agrovoc/c_33990", "teneur en azote", "http://aims.fao.org/aos/agrovoc/c_4073", "biomasse", "http://aims.fao.org/aos/agrovoc/c_36669", "http://aims.fao.org/aos/agrovoc/c_4579", "savane", "syst\u00e8me de culture", "http://aims.fao.org/aos/agrovoc/c_3301", "http://aims.fao.org/aos/agrovoc/c_8511", "http://aims.fao.org/aos/agrovoc/c_35657", "0105 earth and related environmental sciences", "2. Zero hunger", "http://aims.fao.org/aos/agrovoc/c_28792", "non-travail du sol", "04 agricultural and veterinary sciences", "15. Life on land", "agro\u00e9cosyst\u00e8me", "http://aims.fao.org/aos/agrovoc/c_331583", "6. Clean water", "http://aims.fao.org/aos/agrovoc/c_92381", "s\u00e9questration du carbone", "http://aims.fao.org/aos/agrovoc/c_926", "exp\u00e9rimentation au champ", "http://aims.fao.org/aos/agrovoc/c_5438", "http://aims.fao.org/aos/agrovoc/c_4182", "http://aims.fao.org/aos/agrovoc/c_6825", "http://aims.fao.org/aos/agrovoc/c_5193", "0401 agriculture", " forestry", " and fisheries", "P01 - Conservation de la nature et ressources fonci\u00e8res", "http://aims.fao.org/aos/agrovoc/c_1971", "http://aims.fao.org/aos/agrovoc/c_17299", "http://aims.fao.org/aos/agrovoc/c_7156", "mati\u00e8re organique du sol"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2015.08.013"}, {"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.2015.08.013", "name": "item", "description": "10.1016/j.agee.2015.08.013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2015.08.013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-12-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2022.120608", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:17Z", "type": "Journal Article", "created": "2022-11-01", "title": "Tree species traits and mycorrhizal association shape soil microbial communities via litter quality and species mediated soil properties", "description": "Open AccessLes sols abritent une grande diversit\u00e9 de microbiote du sol, qui jouent un r\u00f4le crucial dans les processus \u00e9cosyst\u00e9miques cl\u00e9s tels que la transformation de la liti\u00e8re et la min\u00e9ralisation, mais la fa\u00e7on dont les interactions complexes plante-sol fa\u00e7onnent la diversit\u00e9 et la composition du microbiote du sol reste insaisissable. Nous avons effectu\u00e9 le s\u00e9quen\u00e7age de l'amplicon de l'ADN isol\u00e9 \u00e0 partir de la couche arable min\u00e9rale de six arbres europ\u00e9ens communs plant\u00e9s dans des peuplements de monoculture de jardins communs multi-sites d'\u00e9rables \u00e0 feuilles larges et de fr\u00eanes associ\u00e9s \u00e0 des mycorhizes arbusculaires (MA), de h\u00eatres \u00e0 feuilles larges, de chaux et de ch\u00eanes associ\u00e9s \u00e0 des champignons ectomycorhiziens (MCE) et d'\u00e9pinettes de conif\u00e8res associ\u00e9es \u00e0 la MCE. L'objectif principal de cette \u00e9tude \u00e9tait d'\u00e9valuer les effets de l'identit\u00e9 des esp\u00e8ces d'arbres, des traits et des associations mycorhiziennes sur la diversit\u00e9, la structure de la communaut\u00e9, la coh\u00e9sion et le changement dans l'abondance relative des groupes taxonomiques et fonctionnels de bact\u00e9ries, de champignons et de n\u00e9matodes du sol. Nos r\u00e9sultats ont r\u00e9v\u00e9l\u00e9 que les sols sous les feuillus abritaient une plus grande richesse en bact\u00e9ries, champignons et n\u00e9matodes que sous l'\u00e9pinette de Norv\u00e8ge. Les esp\u00e8ces d'arbres \u00e0 feuilles larges associ\u00e9es aux champignons de la MA ont montr\u00e9 une plus grande coh\u00e9sion des communaut\u00e9s bact\u00e9riennes et fongiques que les arbres \u00e0 feuilles larges associ\u00e9s aux champignons de la mec, mais la coh\u00e9sion des communaut\u00e9s de n\u00e9matodes \u00e9tait plus \u00e9lev\u00e9e sous les arbres associ\u00e9s aux champignons de la mec que sous les arbres associ\u00e9s aux champignons de la MA. Les bact\u00e9ries copiotrophes, les saprotrophes fongiques et les n\u00e9matodes bact\u00e9rivores \u00e9taient associ\u00e9s au fr\u00eane, \u00e0 l'\u00e9rable et \u00e0 la chaux ayant un pH du sol \u00e9lev\u00e9 et des indices de d\u00e9composition de la liti\u00e8re \u00e9lev\u00e9s, tandis que les bact\u00e9ries oligotrophes, les champignons ectomycorhiziens et les n\u00e9matodes fongivores \u00e9taient associ\u00e9s au h\u00eatre, au ch\u00eane et \u00e0 l'\u00e9pinette de Norv\u00e8ge qui avaient un pH du sol faible et des indices de d\u00e9composition de la liti\u00e8re faibles. Les esp\u00e8ces d'arbres associ\u00e9es aux champignons AM pr\u00e9sentaient une forte proportion de bact\u00e9ries copiotrophes et de champignons saprotrophes, tandis que les arbres associ\u00e9s aux champignons ECM pr\u00e9sentaient une abondance relative \u00e9lev\u00e9e de bact\u00e9ries oligotrophes, de champignons ECM et de n\u00e9matodes fongivores. Les diff\u00e9rentes abondances de ces groupes fonctionnels soutiennent l'\u00e9conomie nutritive plus inorganique des esp\u00e8ces d'arbres AM par rapport \u00e0 l'\u00e9conomie nutritive plus organique des esp\u00e8ces d'arbres ECM. La communaut\u00e9 bact\u00e9rienne a \u00e9t\u00e9 indirectement affect\u00e9e par la qualit\u00e9 de la liti\u00e8re via les propri\u00e9t\u00e9s du sol, tandis que la communaut\u00e9 fongique a \u00e9t\u00e9 directement affect\u00e9e par la qualit\u00e9 de la liti\u00e8re et les esp\u00e8ces d'arbres. Les groupes fonctionnels des n\u00e9matodes refl\u00e9taient les communaut\u00e9s de bact\u00e9ries et de champignons, indiquant ainsi les groupes principaux et actifs des communaut\u00e9s microbiennes sp\u00e9cifiques aux esp\u00e8ces d'arbres. Notre \u00e9tude a sugg\u00e9r\u00e9 que l'identit\u00e9, les traits et l'association mycorhizienne des esp\u00e8ces d'arbres fa\u00e7onnent consid\u00e9rablement les communaut\u00e9s microbiennes via un effet direct de la chimie de la liti\u00e8re ainsi que via les propri\u00e9t\u00e9s du sol m\u00e9di\u00e9es par la liti\u00e8re.", "keywords": ["Fagus sylvatica", "Soil Science", "Plant Science", "Plant litter", "Agricultural and Biological Sciences", "Soil biology", "Mycorrhizal Fungi and Plant Interactions", "Soil water", "Genetics", "Saproxylic Insect Ecology and Forest Management", "Soil microbiota", "Symbiosis", "Plant Interactions", "Biology", "Ecosystem", "Amplicon sequencing", "Beech", "Ecology", "Bacteria", "Common garden experiment", "Botany", "Life Sciences", "04 agricultural and veterinary sciences", "15. Life on land", "Ectomycorrhiza", "Insect Science", "FOS: Biological sciences", "Functional groups", "Community cohesion", "0401 agriculture", " forestry", " and fisheries", "Trophic interactions", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Mycorrhiza"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2022.120608"}, {"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.2022.120608", "name": "item", "description": "10.1016/j.foreco.2022.120608", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2022.120608"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "10.1007/s11270-021-05044-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:05Z", "type": "Journal Article", "created": "2021-03-02", "title": "Holistic Assessment of Biochar and Brown Coal Waste as Organic Amendments in Sustainable Environmental and Agricultural Applications", "description": "Abstract<p>Organic amendments can improve soil quality which has knock-on environmental and agronomic benefits. However, the use of new and emerging organic amendments such as biochar and brown coal waste (BCW) in soil systems requires continuous holistic assessments for robust consensus building in their environmental and agricultural applications. To examine the application of BCW and woodchip biochar (BIO) in agroecosystems, secondary data from literature on environmental (soil, air and water) aspects were compiled with primary agronomic data from a 3-year multicropping field trial and collated with supplementary data on economic factors (e.g. cost and availability). For the field trial, replicated plots were amended with FYM (for comparative reasons), BCW and BIO at 30, 24.2 and 12.8 for t ha\uffe2\uff80\uff931, respectively, with and without NPK and cultivated in a cropping sequence of maize, potato and barley. At the end of each season, soils were characterised for pH, cation exchange capacity (CEC) and fertility (macronutrient contents) in addition to nutrient uptake, nutritional quality and yield of crops. Compared with FYM, biochar and BCW were found to be associated with greater improvements in soil quality (e.g. building of soil structure and C sequestration) and knock-on water and air quality benefits mainly facilitated via increased cation retention and humic-linked sorption which abated gaseous emission and mitigated nutrient and heavy metal leaching. These along with variable improvements in soil chemistry, fertility and nutrient uptake in the agronomic field trial accounted for increased mean crop yield across treatments (higher with NPK): FYM (32.7 and 71.7%), BCW (33.5 and 60.1%) and BIO (21.8 and 48.2%). Additionally, biochar and BCW have lower pollutant (e.g. heavy metals) contents and were found to provide additional sustainability and net abatement cost-benefits. While the agronomic benefits of biochar and BCW were slightly lower compared with that of FYM, their lower environmental footprints and associated sustainability benefits are clear advantages for their adoption in environmental and agricultural applications.</p", "keywords": ["2. Zero hunger", "Slow nutrient release", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Soil quality", "6. Clean water", "12. Responsible consumption", "Carbonised organic amendments", "Soil productivity", "Multicropping field trial", "Sustainability", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/172203/1/Amoah-Antwi2021_Article_HolisticAssessmentOfBiocharAnd.pdf"}, {"href": "https://doi.org/10.1007/s11270-021-05044-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%2C%20Air%2C%20%26amp%3B%20Soil%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11270-021-05044-z", "name": "item", "description": "10.1007/s11270-021-05044-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11270-021-05044-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2006.12.022", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:19Z", "type": "Journal Article", "created": "2007-01-19", "title": "Full Accounting Of The Greenhouse Gas (Co2, N2o, Ch4) Budget Of Nine European Grassland Sites", "description": "The full greenhouse gas balance of nine contrasted grassland sites covering a major climatic gradient over Europe was measured during two complete years. The sites include awide range ofmanagement regimes (rotational grazing, continuous grazing andmowing), the three main types of managed grasslands across Europe (sown, intensive permanent and semi-natural grassland) and contrasted nitrogen fertilizer supplies. At all sites, the net ecosystem exchange (NEE) of CO2 was assessed using the eddy covariance technique.N2Oemissions weremonitored using various techniques (GC-cuvette systems, automated chambers and tunable diode laser) and CH4 emissions resulting from enteric fermentation of the grazing cattle were measured in situ at four sites using the SF6 tracer method. Hence, when expressed in CO2-C equivalents, emissions of N2O and CH4 resulted in a 19% offset of the NEE sink activity. An attributedGHG balance has been calculated by subtracting fromthe NBP: (i)N2OandCH4 emissions occurring within the grassland plot and (ii) off-site emissions ofCO2 andCH4 as a result of the digestion and enteric fermentation by cattle of the cut herbage.The net exchanges by the grassland ecosystems of CO2 and of GHG were highly correlated with the difference in carbon used by grazing versus cutting, indicating that cut grasslands have a greater on-site sink activity than grazed grasslands. However, the net biome productivity was significantly correlated to the total C used by grazing and cutting, indicating that, on average, net carbon storage declines with herbage utilisation for herbivores", "keywords": ["Livestock", "330", "net ecosystem exchange", "NITROUS OXIDE", "native tallgrass prairie", "GAZ A EFFET DE SERRE", "Nitrogen cycle", "Carbon sequestration;", "12. Responsible consumption", "dioxide", "primary productivity", "METHANE", "CARBON SEQUESTRATION", "[SDV.EE]Life Sciences [q-bio]/Ecology", "NITROGEN CYCLE", "nitrogen cycle", "soil carbon", "2. Zero hunger", "nitrous oxide", "methane", "land management", "LIVESTOCK", "sequestration", "livestock grazing", "04 agricultural and veterinary sciences", "15. Life on land", "carbon sequestration", "nitrous-oxide emissions", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "Nitrous oxide;", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "agricultural soils", "environment", "Methane", "respiration"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2006.12.022"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2006.12.022", "name": "item", "description": "10.1016/j.agee.2006.12.022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2006.12.022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-06-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2007.01.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:19Z", "type": "Journal Article", "created": "2007-02-10", "title": "Predicted Soil Organic Carbon Stocks And Changes In The Brazilian Amazon Between 2000 And 2030", "description": "Abstract   Currently we have little understanding of the impacts of land use change on soil C stocks in the Brazilian Amazon. Such information is needed to determine impacts on the global C cycle and the sustainability of agricultural systems that are replacing native forest. The aim of this study was to predict soil carbon stocks and changes in the Brazilian Amazon during the period between 2000 and 2030, using the GEFSOC soil carbon (C) modelling system. In order to do so, we devised current and future land use scenarios for the Brazilian Amazon, taking into account: (i) deforestation rates from the past three decades, (ii) census data on land use from 1940 to 2000, including the expansion and intensification of agriculture in the region, (iii) available information on management practices, primarily related to well managed pasture versus degraded pasture and conventional systems versus no-tillage systems for soybean ( Glycine max ) and (iv) FAO predictions on agricultural land use and land use changes for the years 2015 and 2030. The land use scenarios were integrated with spatially explicit soils data (SOTER database), climate, potential natural vegetation and land management units using the recently developed GEFSOC soil C modelling system. Results are presented in map, table and graph form for the entire Brazilian Amazon for the current situation (1990 and 2000) and the future (2015 and 2030). Results include soil organic C (SOC) stocks and SOC stock change rates estimated by three methods: (i) the Century ecosystem model, (ii) the Rothamsted C model and (iii) the intergovernmental panel on climate change (IPCC) method for assessing soil C at regional scale. In addition, we show estimated values of above and belowground biomass for native vegetation, pasture and soybean. The results on regional SOC stocks compare reasonably well with those based on mapping approaches. The GEFSOC system provided a means of efficiently handling complex interactions among biotic-edapho-climatic conditions (>363,000 combinations) in a very large area (\u223c500\u00a0Mha) such as the Brazilian Amazon. All of the methods used showed a decline in SOC stock for the period studied; Century and RothC simulated values for 2030 being about 7% lower than those in 1990. Values from Century and RothC (30,430 and 25,000\u00a0Tg for the 0\u201320\u00a0cm layer for the Brazilian Amazon region were higher than those obtained from the IPCC system (23,400\u00a0Tg in the 0\u201330\u00a0cm layer). Finally, our results can help understand the major biogeochemical cycles that influence soil fertility and help devise management strategies that enhance the sustainability of these areas and thus slow further deforestation.", "keywords": ["land use change", "2. Zero hunger", "clay loam acrisol", "550", "330", "no-tillage", "cropping systems", "04 agricultural and veterinary sciences", "Brazilian Amazon", "regional-scale", "15. Life on land", "matter dynamics", "soil organic carbon", "land-use change", "long-term experiments", "southern brazil", "tropical deforestation", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "regional estimates", "eastern amazonia"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2007.01.008"}, {"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.2007.01.008", "name": "item", "description": "10.1016/j.agee.2007.01.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2007.01.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-09-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=CARBON&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=CARBON&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=CARBON&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=CARBON&offset=50", "hreflang": "en-US"}], "numberMatched": 2889, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-05-25T10:17:36.749568Z"}