{"type": "FeatureCollection", "features": [{"id": "10.1016/j.epsl.2017.04.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:38Z", "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": "10.1016/j.foreco.2010.07.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:47Z", "type": "Journal Article", "created": "2010-08-04", "title": "Thinning Method And Intensity Influence Long-Term Mortality Trends In A Red Pine Forest", "description": "Tree mortality shapes forest development, but rising mortality can represent lost production or an adverse response to changing environmental conditions. Thinning represents a strategy for reducing mortality rates, but different thinning techniques and intensities could have varying impacts depending on how they alter stand structure. We analyzed trends in stand structure, relative density, stand-scale mortality, climate, and correlations between mortality and climate over 46 years of thinning treatments in a red pine forest in Northern Minnesota, USA to examine how thinning techniques that remove trees of different crown classes interact with growing stock manipulation to impact patterns of tree mortality. Relative density in unharvested plots increased during the first 25 years of the study to around 80%, then began to plateau, but was lower (12-62%) in thinned stands. Mortality in unharvested plots claimed 2.5 times more stems yr\u22121 and 8.6 times as large a proportion of annual biomass increment during the last 21 years of the study compared to the first 25 years, but showed few temporal trends in thinned stands. Mortality in thinning treatments was generally lower than in controls, particularly during the last 21 years of the study when mortality averaged about 0.1% of stems yr \u22121 and 4% of biomass increment across thinning treatments, but 0.8% of stems yr \u22121 and 49% of biomass increment in unharvested plots. Treatments that combined thinning from above with low growing stock levels represented an exception, where mortality exceeded biomass production after initial thinning. Mortality averaged less than 0.1% of stems yr\u22121 and less than 1% of annual biomass production in stands thinned from below. These trends suggest thinning from below minimizes mortality across a wide range of growing stock levels while thinning from above to low growing stock levels can result in dramatic short-term increases in mortality. Moderate to high growing stock levels (21-34 m 2 ha \u22121 ) may offer greater flexibility for limiting mortality across a range of thinning methods. Mean and maximum annual and growing season temperatures rose by 0.6-1.8 \u25e6C during the study, and temperature variables were positively correlated with mortality in unharvested plots. Mortality increases in unharvested plots, however, were consistent with self-thinning principles and probably not driven by rising temperatures. These results suggest interactions between thinning method and intensity influence mortality reductions associated with thinning, and demonstrate the need for broader consideration of developmental processes as potential explanations for increased", "keywords": ["0106 biological sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2010.07.002"}, {"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.2010.07.002", "name": "item", "description": "10.1016/j.foreco.2010.07.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2010.07.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-08-01T00:00:00Z"}}, {"id": "10.1016/j.pedobi.2003.06.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:12Z", "type": "Journal Article", "created": "2004-02-28", "title": "Effect Of Management Practices And Cropping Systems On Earthworm Abundance And Microbial Activity In Sanborn Field: A 115-Year-Old Agricultural Field", "description": "Abstract   Sanborn Field, an agricultural demonstration field at the University of Missouri-Columbia, has over 100 years of cropping histories and management practices implemented at this site. We examined the effect of these cropping systems and management practices on earthworm populations and microbial activity. A field experiment was conducted to characterize and quantify earthworms and to determine the microbial activity in the same selected plots. We sampled 14 plots at the site, six of which were the original plots established in 1888 with the same cropping histories and management, and eight of which had been modified over the years to accommodate changing farmer needs and scientific questions. Earthworms and soil samples were collected in the spring and fall of 1999.  Aporrectodea trapezoides ,  Aporrectodea caliginosa , and  Lumbricus terrestris  were the dominant species found in this field.  Lumbricus terrestris  was commonly associated with the no-tillage plot at Sanborn Field. Due partly to soil moisture conditions, most of the species were found and identified during the spring. Microbial activity, as expected, was greatest during the spring. Manure, no-tillage and crop rotations that include legumes had the greatest earthworm abundance and microbial activity. In general, where no fertility treatments were added to soil or where food sources were lacking, earthworm abundance decreased significantly. The abundance of earthworms found in this field reflected the cropping history and management practices used recently and within the last 100 years. In most cases, microbial activity showed similar trends as earthworm density. However, some dynamic microbial transformations, like nitrification, do not always follow the same trend as potential soil quality biotic indicators. Earthworms, along with microbial activity, may serve as useful soil quality indicators in sustained and short-term field trials.", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Victoria C. Hubbard, D Jordan, R.J Miles, T Lorenz,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.pedobi.2003.06.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Pedobiologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.pedobi.2003.06.001", "name": "item", "description": "10.1016/j.pedobi.2003.06.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.pedobi.2003.06.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-03-01T00:00:00Z"}}, {"id": "10.1016/j.radmeas.2019.106221", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:14Z", "type": "Journal Article", "created": "2019-11-19", "title": "Bleaching studies on Al-hole ([AlO4/h]0) electron spin resonance (ESR) signal in sedimentary quartz", "description": "Abstract   Electron spin resonance (ESR) dating of sediments using quartz is most commonly used for older sediments (>100 ka), since large residuals render the ESR signal unsuitable for dating young sediments. The multiple-centre approach (utilising both Ti and [AlO4/h]0 signals) is usually used to test the resetting of the signals used for ESR dating. Here we work towards a better understanding of, and correction for, the residual signal in ESR samples of sedimentary quartz. We undertook multiple-centre ESR measurements using quartz [AlO4/h]0 and Ti signals on young aeolian samples of different grain sizes which have been independently dated using optically stimulated luminescence (OSL). Our results demonstrate that [AlO4/h]0 signal yields residuals indicating equivalent doses of about 500\u00a0Gy, substantially older than expected for the known OSL equivalent doses in the range of 8\u201337\u00a0Gy. The decay of [AlO4/h]0 signal as function of bleaching time can be represented by an exponential function. We investigate the dependence of the residual magnitude of the ESR signal as a function of the previous given dose and observe an exponential increase in the residual signal with dose. Such observations are consistent with the results of luminescence process modelling conducted for a model comprising two luminescence centres and several traps, one of which is a so-called deep disconnected trap that cannot be emptied during optical stimulation. We propose that bleaching occurs through an electron-hole recombination process with electrons released from optically sensitive traps. In addition to our new insights into the bleaching mechanisms of the [AlO4/h]0 ESR signal, we discuss the implications for the procedures used for performing residual dose corrections in ESR dating. We recommend that modern analogues be used in addition to laboratory-bleached samples when performing residual dose corrections.", "keywords": ["ESR dating", "Sedimentary quartz", "03 medical and health sciences", "0302 clinical medicine", "Residual", "Sedimentary quartz ESR dating[AlO4/h]0 Residual Bleaching Modelling", "[AlO4/h]0", "Bleaching", "01 natural sciences", "Modelling", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.radmeas.2019.106221"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Radiation%20Measurements", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.radmeas.2019.106221", "name": "item", "description": "10.1016/j.radmeas.2019.106221", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.radmeas.2019.106221"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.1016/j.scitotenv.2016.02.203", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:18Z", "type": "Journal Article", "created": "2016-03-11", "title": "Seasonal Patterns Of Nitrogen Cycling In Subtropical Short-Hydroperiod Wetlands: Effects Of Precipitation And Restoration", "description": "In the event of increased frequency of extreme wet or dry events resulting from climate change, it becomes more important to understand the temporal dynamics of soil nitrogen (N) processes in ecosystems. Here, seasonal patterns of N cycling were characterized in subtropical wetlands in Everglades National Park, Florida, USA. Two restored sites and one reference site with different nutrient status, soil depth, and vegetation communities, were selected. Soil available N, microbial biomass, potential N mineralization and denitrification rates, enzyme activities of leucine aminopeptidase (LAP) and N-acetyl-\u03b2-d-glucosaminidase (NAG) were measured across the wet and dry seasons from 2010 to 2011. In general, most N processes were significantly correlated with soil water contents (P<0.05) which reflected the precipitation regime. The lower elevation and shallower soil (2-3cm depth) at the restored site may contribute to their higher soil water contents compared to the reference site with ~10cm soil depth, which further led to the earlier peaks of microbial biomass at the two restored sites. Potential N mineralization was positively correlated with LAP at the restored sites whereas with NAG at the reference site (P<0.05), implying that different vegetation composition may provide varying substrates for soil microbes. The build-up of nitrate in the dry spring of 2011 induced a pulse of denitrification after rewetting by a sudden rainfall, implying the presence of a hot moment of denitrification during the dry-rewetting transition period. The decrease of MBC:MBN ratio from dry to wet season indicates a possible microbial composition shift from fungi to bacteria, shedding lights on the potential contribution of fugal groups to denitrification in the dry season. Our study highlight that even under the same climate regime, the small-scale variations could affect the seasonal patterns of N cycling.", "keywords": ["13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.scitotenv.2016.02.203"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Science%20of%20The%20Total%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.scitotenv.2016.02.203", "name": "item", "description": "10.1016/j.scitotenv.2016.02.203", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.scitotenv.2016.02.203"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-06-01T00:00:00Z"}}, {"id": "10.1023/a:1013072519889", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:18:06Z", "type": "Journal Article", "created": "2002-12-23", "title": "Soil Freezing Alters Fine Root Dynamics In A Northern Hardwood Forest", "description": "The retention of nutrients within an ecosystem depends on temporal andspatial synchrony between nutrient availability and nutrient uptake, anddisruption of fine root processes can have dramatic impacts on nutrientretention within forest ecosystems. There is increasing evidence thatoverwinter climate can influence biogeochemical cycling belowground,perhaps by disrupting this synchrony. In this study, we experimentallyreduced snow accumulation in northern hardwood forest plots to examinethe effects of soil freezing on the dynamics of fine roots (< 1 mm diameter)measured using minirhizotrons. Snow removal treatment during therelatively mild winters of 1997\u20131998 and 1998\u20131999 induced mild freezingtemperatures (to \u22124 \u00b0C) lasting approximately three months atshallow soil depths (to \u221230 cm) in sugar maple and yellow birch stands.This treatment resulted in elevated overwinter fine root mortality in treatedcompared to reference plots of both species, and led to an earlier peak infine root production during the subsequent growing season. These shiftsin fine root dynamics increased fine root turnover but were not largeenough to significantly alter fine root biomass. No differences inmorality response were found between species. Laboratory tests on pottedtree seedlings exposed to controlled freezing regimes confirmed that mildfreezing temperatures (to \u22125 \u00b0C) were insufficient to directlyinjure winter-hardened fine roots of these species, suggesting that themarked response recorded in our forest plots was caused indirectly bymechanical damage to roots in frozen soil. Elevated fine root necromass intreated plots decomposed quickly, and may have contributed an excess fluxof about 0.5 g N/m2\u00b7yr, which is substantial relative tomeasurements of N fluxes from these plots. Our results suggest elevatedoverwinter mortality temporarily reduced fine root length in treatmentplots and reduced plant uptake, thereby disrupting the temporalsynchrony between nutrient availability and uptake and enhancing ratesof nitrification. Increased frequency of soil freezing events, as may occurwith global change, could alter fine root dynamics within the northernhardwood forest disrupting the normally tight coupling between nutrientmineralization and uptake.", "keywords": ["0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1023/a:1013072519889"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1023/a:1013072519889", "name": "item", "description": "10.1023/a:1013072519889", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1023/a:1013072519889"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2001-11-01T00:00:00Z"}}, {"id": "10.1038/srep06365", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:18:25Z", "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": "10.1111/j.1365-2486.2006.01131.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:19:32Z", "type": "Journal Article", "created": "2006-03-24", "title": "Estimating The Uncertainty In Annual Net Ecosystem Carbon Exchange: Spatial Variation In Turbulent Fluxes And Sampling Errors In Eddy-Covariance Measurements", "description": "Abstract<p>Above forest canopies, eddy covariance (EC) measurements of mass (CO2, H2O vapor) and energy exchange, assumed to represent ecosystem fluxes, are commonly made at one point in the roughness sublayer (RSL). A spatial variability experiment, in which EC measurements were made from six towers within the RSL in a uniform pine plantation, quantified large and dynamic spatial variation in fluxes. The spatial coefficient of variation (CV) of the scalar fluxes decreased with increasing integration time, stabilizing at a minimum that was independent of further lengthening the averaging period (hereafter a \uffe2\uff80\uff98stable minimum\uffe2\uff80\uff99). For all three fluxes, the stable minimum (CV=9\uffe2\uff80\uff9311%) was reached at averaging times (\uffcf\uff84p) of 6\uffe2\uff80\uff937\uffe2\uff80\uff83h during daytime, but higher stable minima (CV=46\uffe2\uff80\uff93158%) were reached at longer \uffcf\uff84p (&gt;12\uffe2\uff80\uff83h) during nighttime. To the extent that decreasing CV of EC fluxes reflects reduction in micrometeorological sampling errors, half of the observed variability at \uffcf\uff84p=30\uffe2\uff80\uff83min is attributed to sampling errors. The remaining half (indicated by the stable minimum CV) is attributed to underlying variability in ecosystem structural properties, as determined by leaf area index, and perhaps associated ecosystem activity attributes. We further assessed the spatial variability estimates in the context of uncertainty in annual net ecosystem exchange (NEE). First, we adjusted annual NEE values obtained at our long\uffe2\uff80\uff90term observation tower to account for the difference between this tower and the mean of all towers from this experiment; this increased NEE by up to 55\uffe2\uff80\uff83g\uffe2\uff80\uff83C\uffe2\uff80\uff83m\uffe2\uff88\uff922\uffe2\uff80\uff83yr\uffe2\uff88\uff921. Second, we combined uncertainty from gap filling and instrument error with uncertainty because of spatial variability, producing an estimate of variability in annual NEE ranging from 79 to 127\uffe2\uff80\uff83g\uffe2\uff80\uff83C\uffe2\uff80\uff83m\uffe2\uff88\uff922\uffe2\uff80\uff83yr\uffe2\uff88\uff921. This analysis demonstrated that even in such a uniform pine plantation, in some years spatial variability can contribute \uffe2\uff88\uffbc50% of the uncertainty in annual NEE estimates.</p>", "keywords": ["550", "13. Climate action", "15. Life on land", "551", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-2486.2006.01131.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2486.2006.01131.x", "name": "item", "description": "10.1111/j.1365-2486.2006.01131.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2006.01131.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-04-03T00:00:00Z"}}, {"id": "10.1111/gcbb.12255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:19:27Z", "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/j.1365-2486.2008.01809.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:19:35Z", "type": "Journal Article", "created": "2008-11-04", "title": "Soil Organic Carbon Contents In Long-Term Experimental Grassland Plots In The Uk (Palace Leas And Park Grass) Have Not Changed Consistently In Recent Decades", "description": "Abstract<p>A recent report of widespread declines in soil organic C (SOC) in the UK over the 10\uffe2\uff80\uff9325 years until the early 2000s has focussed attention on the importance of resampling previously characterized sites to assess long\uffe2\uff80\uff90term trends in SOC contents and the importance of soils as a potentially volatile and globally significant reservoir of terrestrial C. We have used two sets of long\uffe2\uff80\uff90term experimental plots which have been under constant and known management for over a century and for which historical data exist that allow comparison over recent decades to determine what, if any, changes in SOC content have occurred. The plots used are the Palace Leas (PL) Meadow Hay Plots in north\uffe2\uff80\uff90east England (UK) established in 1897, and from the Park Grass (PG) Continuous Hay experiment established in 1856 at Rothamsted in south\uffe2\uff80\uff90east England. Collectively, these plots represent the only grassland sites in the UK under long\uffe2\uff80\uff90term management where changes in SOC over several decades can be assessed, and are probably unique in the world. The plots have received different manure and fertilizer treatment and have been under known management for at least 100 years. In 1982, total SOC contents were determined for the 0\uffe2\uff80\uff9327\uffe2\uff80\uff83cm layer of six of the PL plots using measurements of SOC concentrations, bulk density and soil depth. In 2006, the same six PL plots were resampled and SOC contents determined again. Four of the plots showed no net change in SOC content, but two plots showed net loss of SOC of 15% and 17% (amounting to decreases of 18 and 15\uffe2\uff80\uff83t\uffe2\uff80\uff83C\uffe2\uff80\uff83ha\uffe2\uff88\uff921) since 1982. However, these differences in total SOC content were in a similar range to the variations in bulk density (6\uffe2\uff80\uff9331%) with changing soil water content. In 1959, the soil masses and SOC concentrations to 23\uffe2\uff80\uff83cm depth were measured on six PG plots with fertilizer and manure treatments corresponding closely with those measured on PL. In 2002, the SOC concentrations on the same plots were measured again. On three of the PG plots, SOC concentrations had declined by 2\uffe2\uff80\uff9310%, but in the other three it had increased by 4\uffe2\uff80\uff938% between 1959 and 2002. If it is assumed that the soil bulk density had not changed over this period, the losses of SOC from the top soils ranged range from 10 to 3\uffe2\uff80\uff83t\uffe2\uff80\uff83C\uffe2\uff80\uff83ha\uffe2\uff88\uff921, while the gains ranged from 4 to 7\uffe2\uff80\uff83t\uffe2\uff80\uff83C\uffe2\uff80\uff83ha\uffe2\uff88\uff921. When the differences with time in SOC contents for the six PL and the six PG plots were examined using paired t\uffe2\uff80\uff90tests, that is, regarding the plots as two sets of six replicate permanent grasslands, there were no significant differences between 1982 and 2006 for the PL plots or between 1959 and 2002 for the PG plots. Thus, these independent observations on similar plots at PL and PG indicate there has been no consistent decrease in SOC stocks in surface soils under old, permanent grassland in England in recent decades, even though meteorological records for both sites indicate significant warming of the soil and air between 1980 and 2000. Because the potential influences of changes in management or land use have been definitively excluded, and measured rather than derived bulk densities have been used to convert from SOC concentrations to SOC amounts, our observations question whether for permanent grassland in England, losses in SOC in recent decades reported elsewhere can be attributed to widespread environmental change.</p>", "keywords": ["2. Zero hunger", "Ecology", "0401 agriculture", " forestry", " and fisheries", "biodiversity conservation", "04 agricultural and veterinary sciences", "15. Life on land", "Environmental Sciences"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-2486.2008.01809.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2486.2008.01809.x", "name": "item", "description": "10.1111/j.1365-2486.2008.01809.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2008.01809.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-06-05T00:00:00Z"}}, {"id": "10.1111/j.1365-2486.2009.02121.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:19:35Z", "type": "Journal Article", "created": "2009-12-22", "title": "Functional Changes In The Control Of Carbon Fluxes After 3 Years Of Increased Drought In A Mediterranean Evergreen Forest?", "description": "Abstract<p>Our objective was to test how a long\uffe2\uff80\uff90term increased water limitation affects structural and functional properties of a Mediterranean ecosystem, and how these changes modify the response of the main carbon fluxes to climatic controls. In 2003, a 27% throughfall exclusion experiment was installed in a Quercus ilex L. forest in France. Gross primary production (GPP), ecosystem respiration (RECO) and net ecosystem exchange (NEE) were estimated in a control and a dry treatment. Decreasing throughfall decreased GPP by 14% and had a smaller effect on RECO (\uffe2\uff88\uff9212%), especially soil respiration RS (\uffe2\uff88\uff9211%). Interannual variability of GPP (29%) was higher than for RECO (12%). Error propagation was used to estimates uncertainties in the NEE fluxes, which ranged from 3% to 10% in the control treatment but up to 167% for NEE in the dry treatment because more steps and data types were involved in the scaling. After 3 years of throughfall exclusion, we found no acclimation of RS to climatic drivers. Functional properties of the response of RS to soil water, temperature and rain pulse remained similar in the control and the dry treatments. A diurnal clockwise hysteresis in RS was probably controlled by canopy photosynthesis with a 3\uffe2\uff80\uff83h lag. The proportion of diurnal variation of respiration due to photosynthesis was similar in all treatments (4\uffe2\uff80\uff935%). Because of the characteristic of rain in Mediterranean climates, a continuous decrease of water input in these environments have an effect on topsoil water and consequently on RS only during short periods when rainfall is characterized by infrequent and small events that does not allow the topsoil to reach field capacity and does not allow to dry completely. However, in the longer term, we expect a stronger decrease in RS in the dry treatment driven by the decrease in GPP.</p>", "keywords": ["0106 biological sciences", "550", "15. Life on land", "gross primary production", "soil respiration", "01 natural sciences", "630", "6. Clean water", "Quercus ilex", "throughfall exclusion", "13. Climate action", "rain pulse", "eddy-covariance", "Q(10)", "error propagation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-2486.2009.02121.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2486.2009.02121.x", "name": "item", "description": "10.1111/j.1365-2486.2009.02121.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2009.02121.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-08-01T00:00:00Z"}}, {"id": "10.1175/bams-d-20-0086.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:20:05Z", "type": "Journal Article", "created": "2020-08-20", "title": "Tundra greenness", "description": "Physical and Space Geodesy", "keywords": ["[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology", "[SDU.STU.ME] Sciences of the Universe [physics]/Earth Sciences/Meteorology", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://journals.ametsoc.org/downloadpdf/journals/bams/101/8/bamsD200086.xml"}, {"href": "https://doi.org/10.1175/bams-d-20-0086.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulletin%20of%20the%20American%20Meteorological%20Society", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1175/bams-d-20-0086.1", "name": "item", "description": "10.1175/bams-d-20-0086.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1175/bams-d-20-0086.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-01T00:00:00Z"}}, {"id": "10.1186/s12302-025-01141-6", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:20:06Z", "type": "Journal Article", "created": "2025-06-15", "title": "Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments", "description": "Abstract                        Background             <p>Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill leachate, surface runoff, and atmospheric deposition. The primary objectives are to assess the extent of PFAS contamination, identify key emission sources and transport pathways, and evaluate associated risks in terms of the potential exceedance of current and proposed environmental regulatory thresholds in the European Union.</p>                                   Results             <p>The findings reveal a widespread presence of PFAS, with PFOA, PFOS and short-chain compounds being predominant. The Alz River and Gendorf chemical park emerge as hotspots with far-reaching effects downstream, contributing significantly to diffuse legacy contamination of PFOA and being a significant source of two industrial PFOA substitutes, ADONA and GenX. Wastewater treatment plants, old municipal landfills, and sites with a history of fire-fighting foam application are identified as key pathways or sources of legacy pollution, exhibiting higher concentrations compared to the other matrices. Notably, no significant removal is observed when comparing influent and effluent samples from conventional WWTPs. The study further demonstrates that groundwater is vulnerable to contamination from point sources and to infiltration from rivers, with bank filtration proving largely ineffective in preventing PFAS contamination.</p>                                   Conclusions             <p>The study underscores the necessity for source and pathway control measures to mitigate PFAS pollution, the implementation of advanced treatment technologies to safeguard drinking water and surface water quality, and targeted remediation for legacy soil and groundwater contamination. Additionally, strong use regulations should be explored to minimize ongoing emissions. The multi-compartment monitoring proves to be a crucial approach to understand the complexity of PFAS distribution at the catchment scale. Comparative analysis and risk assessment highlight challenging situations for water management, offering an indispensable basis for emission modeling as a next step for quantitative assessment of the relevance of different sources and pathways for surface water pollution.</p>", "keywords": ["Emerging contaminants", "Emerging Pollutants", "PFAS", "Source identification", "Watershed management", "Environmental sciences", "Emission", "Water Framework Directive", "Environmental law", "Water pollution", "GE1-350", "K3581-3598", "Catchment monitoring", "Environmental Monitoring"]}, "links": [{"href": "https://doi.org/10.1186/s12302-025-01141-6"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s12302-025-01141-6", "name": "item", "description": "10.1186/s12302-025-01141-6", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s12302-025-01141-6"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-15T00:00:00Z"}}, {"id": "10.15454/SVDTOU", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:20:26Z", "type": "Dataset", "title": "Statistiques spatio-temporelles sur les propri\u00e9t\u00e9s agronomiques des sols agricoles en France issues de la Base de Donn\u00e9es d'Analyses de Terre (BDAT)", "description": "In France, farmers commission about 250,000 soil-testing analyses per year to assist them managing soil fertility. The number and diversity of origin of the samples make these analyses an interesting and original information source regarding cultivated topsoil variability. Moreover, these analyses relate to several parameters strongly influenced by human activity (macronutrient contents, pH...), for which existing cartographic information is not very relevant. Compiling the results of these analyses into a database makes it possible to re-use these data within both a national and temporal framework. A database compilation relating to data collected over the period 1990-2014 has been recently achieved. So far, commercial soil-testing laboratories approved by the Ministry of Agriculture have provided analytical results from more than 3,600,000 samples. After the initial quality control stage, analytical results from more than 1,900,000 samples were available in the database. The anonymity of the landholders seeking soil analyses is perfectly preserved, as the only identifying information stored is the location of the nearest administrative city to the sample site. We present in this dataset a set of statistical parameters of the spatial distributions for several agronomic soil properties. These statistical parameters are calculated for 4 different nested spatial entities (administrative areas: e.g. regions, departments, counties and agricultural areas) and for 5 time periods (1990-1994, 1995-1999, 2000-2004, 2005-2009, 2010-2014). Two kinds of agronomic soil properties are available: the first one correspond to the quantitative variables like the organic carbon content, and the second one corresponds to the qualitative variables like the texture class. For each spatial unit and temporal period, we calculated the following statistics sets: the first set is calculated for the quantitative variables and corresponds to the number of samples, the mean, the standard deviation and, the 2-,4-,10-quantiles; the second set is calculated for the qualitative variables and corresponds to the number of samples, the value of the dominant class, the number of samples of the dominant class, the second dominant class, the number of samples of the second dominant class.", "keywords": ["2. Zero hunger", "Earth and Environmental Science", "Soils and soil sciences", "Earth and Environmental Sciences", "Soil Sciences", "soil texture", "15. Life on land", "soil analysis", "Environmental Research", "Natural Sciences", "Geosciences"], "contacts": [{"organization": "Saby, Nicolas P.A., Lemercier, Blandine, Arrouays, Dominique, Walter, Christian, Gouny, Laetitia, Swidersky, Chlo\u00e9, Toutain, Beno\u00eet, Bispo, Antonio,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.15454/SVDTOU"}, {"rel": "self", "type": "application/geo+json", "title": "10.15454/SVDTOU", "name": "item", "description": "10.15454/SVDTOU", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15454/SVDTOU"}, {"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": "10.2111/08-106.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:20:50Z", "type": "Journal Article", "created": "2010-01-22", "title": "Land Use Influences Carbon Fluxes In Northern Kazakhstan", "description": "A mobile, closed-chamber system (CC) was used to measure carbon and water fluxes on four land-use types common in the Kazakh steppe ecoregion. Land uses represented crop (wheat or barley, WB), abandoned land (AL), crested wheatgrass (CW), and virgin land (VL). Measurements were conducted during the growing season of 2002 in northern Kazakhstan at three locations (blocks) 15\u201320 km apart. The CC allowed the measurement of the carbon flux components of net ecosystem exchange (NEE), ecosystem respiration (RE) and soil respiration (RS), together with evapotranspiration (ET). Nonlinear regression analyse sw ere used to model gross primary production (GPP) and ET as a function of photosynthetically active radiation (Q); RE and RS were modeled based on air (Tair) and soil (Ts) temperature, respectively. GPP, RE, RS, and ET were estimated for the entire year with the use of continuous 20-min means of Q, Tair, and Ts. Annual NEE indicated that AL gained 536 g CO2 ? m 22 , WB lost 2 191 g CO2 ? m 22 , CW was near equilibrium (2 14 g CO2 ? m 22 ), and VL exhibited considerable carbon accumulation (153 g CO2 ? m 22 ). The lower GPP values of the land-use types dominated by native species (CW and VL) compared to WB and AL were compensated by positive NEE values that were maintained during a longer growing season. As expected, VL and CW allocated a larger proportion of their carbon assimilates belowground. Non\u2013growing-season RE accounted for about 19% of annual RE in all land-use types. The results of this landscape-level study suggest that carbon lost by cultivation of VLs is partially being restored when fields are left uncultivated, and that VLs are net sinks of carbon. Estimations of carbon balances have important management implications, such as estimation of ecosystem productivity and carbon credit certification. Resumen", "keywords": ["2. Zero hunger", "abandoned fields", "13. Climate action", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.2111/08-106.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Rangeland%20Ecology%20%26amp%3B%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2111/08-106.1", "name": "item", "description": "10.2111/08-106.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2111/08-106.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-01-01T00:00:00Z"}}, {"id": "10261/179481", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:25:46Z", "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": "10.5194/acp-10-7017-2010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:34Z", "type": "Journal Article", "created": "2010-04-29", "description": "<p>Abstract. We present and discuss a new dataset of gridded emissions covering the historical period (1850\uffe2\uff80\uff932000) in decadal increments at a horizontal resolution of 0.5\uffc2\uffb0 in latitude and longitude. The primary purpose of this inventory is to provide consistent gridded emissions of reactive gases and aerosols for use in chemistry model simulations needed by climate models for the Climate Model Intercomparison Program #5 (CMIP5) in support of the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). Our best estimate for the year 2000 inventory represents a combination of existing regional and global inventories to capture the best information available at this point; 40 regions and 12 sectors are used to combine the various sources. The historical reconstruction of each emitted compound, for each region and sector, is then forced to agree with our 2000 estimate, ensuring continuity between past and 2000 emissions. Simulations from two chemistry-climate models is used to test the ability of the emission dataset described here to capture long-term changes in atmospheric ozone, carbon monoxide and aerosol distributions. The simulated long-term change in the Northern mid-latitudes surface and mid-troposphere ozone is not quite as rapid as observed. However, stations outside this latitude band show much better agreement in both present-day and long-term trend. The model simulations indicate that the concentration of carbon monoxide is underestimated at the Mace Head station; however, the long-term trend over the limited observational period seems to be reasonably well captured. The simulated sulfate and black carbon deposition over Greenland is in very good agreement with the ice-core observations spanning the simulation period. Finally, aerosol optical depth and additional aerosol diagnostics are shown to be in good agreement with previously published estimates and observations.                         </p>", "keywords": ["info:eu-repo/classification/ddc/550", "550", "IPCC", "[SDE.MCG]Environmental Sciences/Global Changes", "Physics", "QC1-999", "emissions", "551", "01 natural sciences", "7. Clean energy", "J", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "13. Climate action", "[SDE.ES] Environmental Sciences/Environment and Society", "CMIP5", "[SDE.ES]Environmental Sciences/Environment and Society", "QD1-999", "AR5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/9279/1/acp-10-7017-2010.pdf"}, {"href": "http://pure.iiasa.ac.at/id/eprint/9279/1/acp-10-7017-2010.pdf"}, {"href": "https://doi.org/10.5194/acp-10-7017-2010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-10-7017-2010", "name": "item", "description": "10.5194/acp-10-7017-2010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-10-7017-2010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-02-19T00:00:00Z"}}, {"id": "10.5194/essd-17-741-2025", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:22:47Z", "type": "Journal Article", "created": "2025-02-26", "title": "Time series of Landsat-based bimonthly and annual spectral indices for continental Europe for 2000\u20132022", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The production and evaluation of the analysis-ready and cloud-optimized\u00a0(ARCO) data cube for continental Europe (including Ukraine, the\u00a0UK, and T\u00fcrkiye), derived from the Landsat analysis-ready dataset version\u00a02\u00a0(ARD\u00a0V2) produced by Global Land Analysis and Discovery\u00a0(GLAD) team and covering the period from\u00a02000 to\u00a02022, is described. The data cube consists of 17\u2009TB of data at a 30\u2009m resolution and includes bimonthly, annual, and long-term spectral indices on various thematic topics, including surface reflectance bands, normalized difference vegetation index\u00a0(NDVI), soil adjusted vegetation index\u00a0(SAVI), fraction of absorbed photosynthetically active radiation\u00a0(FAPAR), normalized difference snow index\u00a0(NDSI), normalized difference water index\u00a0(NDWI), normalized difference tillage index\u00a0(NDTI), minimum normalized difference tillage index\u00a0(minNDTI), bare soil fraction\u00a0(BSF), number of seasons\u00a0(NOS), and crop duration ratio\u00a0(CDR). The data cube was developed with the intention to provide a comprehensive feature space for environmental modeling and mapping. The quality of the produced time series was assessed by (1)\u00a0assessing the accuracy of gap-filled bimonthly Landsat data with artificially created gaps; (2)\u00a0visual examination for artifacts and inconsistencies; (3)\u00a0plausibility checks with ground survey data; and (4)\u00a0predictive modeling tests, examples with soil organic carbon\u00a0(SOC) and land cover\u00a0(LC) classification. The time series reconstruction demonstrates high accuracy, with a root mean squared error (RMSE) smaller than\u00a00.05, and R2\u00a0higher than\u00a00.6, across all bands. The visual examination indicates that the product is complete and consistent, except for winter periods in northern latitudes and high-altitude areas, where high cloud and snow density introduce significant gaps and hence many artifacts remain. The plausibility check further shows that the indices logically and statistically capture the processes. The BSF index showed a strong negative correlation\u00a0(\u22120.73) with crop coverage data, while the minNDTI index had a moderate positive correlation\u00a0(0.57) with the Eurostat tillage practice survey data. The detailed temporal resolution and long-term characteristics provided by different tiers of predictors in this data cube proved to be important for both soil organic carbon regression and LC classification experiments based on 60\u2009723\u00a0LUCAS observations: long-term characteristics (tier\u00a04) were particularly valuable for predictive mapping of SOC and LC, coming out on top of variable importance assessment. Crop-specific indices (NOS and CDR) provided limited value for the tested applications, possibly due to noise or insufficient quantification methods. The data cube is made available at https://doi.org/10.5281/zenodo.10776891 (Tian et al., 2024) under a CC-BY license and will be continuously updated.                     </p></article>", "keywords": ["Environmental sciences", "QE1-996.5", "Life Science", "GE1-350", "Geology"]}, "links": [{"href": "https://doi.org/10.5194/essd-17-741-2025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth%20System%20Science%20Data", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/essd-17-741-2025", "name": "item", "description": "10.5194/essd-17-741-2025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/essd-17-741-2025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-12T00:00:00Z"}}, {"id": "10.5194/gmd-15-8411-2022", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:22:49Z", "type": "Journal Article", "created": "2022-11-21", "title": "Global biomass burning fuel consumption and emissions at 500\u2009m spatial resolution based on the Global Fire Emissions Database (GFED)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In fire emission models, the spatial resolution of both the modelling framework and the satellite data used to quantify burned area can have considerable impact on emission estimates. Consideration of this sensitivity is especially important in areas with heterogeneous land cover and fire regimes and when constraining model output with field measurements. We developed a global fire emissions model with a spatial resolution of 500\u2009m using MODerate resolution Imaging Spectroradiometer (MODIS) data. To accommodate this spatial resolution, our model is based on a simplified version of the Global Fire Emissions Database (GFED) modelling framework. Tree mortality as a result of fire, i.e.\u00a0fire-related forest loss, was modelled based on the overlap between 30\u2009m forest loss data and MODIS burned area and active fire detections. Using this new 500\u2009m model, we calculated global average carbon emissions from fire of 2.1\u00b10.2 (\u00b11\u03c3 interannual variability, IAV)\u2009Pg\u2009C\u2009yr\u22121 during 2002\u20132020. Fire-related forest loss accounted for 2.6\u00b10.7\u2009% (uncertainty range =1.9\u2009%\u20133.3\u2009%) of global burned area and 24\u00b16\u2009% (uncertainty range =16\u2009%\u201331\u2009%) of emissions, indicating that fuel consumption in forest fires is an order of magnitude higher than the global average. Emissions from the combustion of soil organic carbon (SOC) in the boreal region and tropical peatlands accounted for 13\u00b14\u2009% of global emissions. Our global fire emissions estimate was higher than the 1.5\u2009Pg\u2009C\u2009yr\u22121 from GFED4 and similar to 2.1\u2009Pg\u2009C\u2009yr\u22121 from GFED4s. Even though GFED4s included more burned area by accounting for small fires undetected by the MODIS burned area mapping algorithm, our emissions were similar to GFED4s due to higher average fuel consumption. The global difference in fuel consumption could mainly be explained by higher SOC emissions from the boreal region as constrained by additional measurements. The higher resolution of the 500\u2009m model also contributed to the difference by improving the simulation of landscape heterogeneity and reducing the scale mismatch in comparing field measurements to model grid cell averages during model calibration. Furthermore, the fire-related forest loss algorithm introduced in our model led to more accurate and widespread estimation of high-fuel-consumption burned area. Recent advances in burned area detection at resolutions of 30\u2009m and finer show a substantial amount of burned area that remains undetected with 500\u2009m sensors, suggesting that global carbon emissions from fire are likely higher than our 500\u2009m estimates. The ability to model fire emissions at 500\u2009m resolution provides a framework for further improvements with the development of new satellite-based estimates of fuels, burned area, and fire behaviour, for use in the next generation of GFED.                     </p></article>", "keywords": ["QE1-996.5", "13. Climate action", "11. Sustainability", "Geology", "15. Life on land", "01 natural sciences", "7. Clean energy", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5194/gmd-15-8411-2022"}, {"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-15-8411-2022", "name": "item", "description": "10.5194/gmd-15-8411-2022", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-15-8411-2022"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-30T00:00:00Z"}}, {"id": "10.5194/soil-2020-96", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:22:53Z", "type": "Report", "created": "2021-02-06", "title": "Controls on heterotrophic soil respiration and carbon cycling in geochemically distinct African tropical forest soils", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Heterotrophic soil respiration is an important component of the global terrestrial carbon (C) cycle, driven by environmental factors acting from local to continental scales. For tropical Africa, these factors and their interactions remain largely unknown. Here, using samples collected along strong topographic and geochemical gradients in the East African Rift Valley, we study how soil chemistry and soil fertility, derived from the geochemical composition of soil parent material, can drive soil respiration even after many millennia of weathering and soil development. To address the drivers of soil respiration, we incubated soils from three regions with contrasting geochemistry (mafic, felsic, and mixed sedimentary) sampled along slope gradients. For three soil depths, we measured the potential maximum heterotrophic respiration under stable environmental conditions as well as the radiocarbon content (\u039414C) of the bulk soil and respired CO2. We found that soil microbial communities were able to mineralize C from fossil as well as other poor quality C sources under laboratory conditions representative of tropical topsoils. Furthermore, despite similarities in terms of climate, vegetation, and the size of soil C stocks, soil respiration showed distinct patterns with soil depth and parent material geochemistry. The topographic origin of our samples was not a main determinant of the observed respiration rates and \u039414C. In situ, however, soil hydrological conditions likely influence soil C stability by inhibiting decomposition in valley subsoils. Our study shows that soil fertility conditions are the main determinant of C stability in tropical forest soils. Further, in the presence of organic carbon sources of poor quality or the presence of strong mineral related C stabilization, microorganisms tend to discriminate against these sources in favor of more accessible forms of soil organic matter as energy sources, resulting in a slower rate of C cycling. Our results demonstrate that even in deeply weathered tropical soils, parent material has a long-lasting effect on soil chemistry that can influence and control microbial activity, the size of subsoil C stocks, and the turnover of C in soil. Soil parent material and its lasting control on soil chemistry need to be taken into account to understand and predict C stabilization and rates of C cycling in tropical forest soils.                         </p></article>", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5194/soil-2020-96"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/soil-2020-96", "name": "item", "description": "10.5194/soil-2020-96", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/soil-2020-96"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-04T00:00:00Z"}}, {"id": "10.5281/zenodo.14027088", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:23:34Z", "type": "Dataset", "created": "2024-11-01", "title": "Per- and Polyfluoroalkyl Substances (PFAS) Concentrations in the Upper Danube Catchment: Integrated Dataset from H2020 Project PROMISCES - Case Study 2", "description": "Dataset Description  This dataset was produced within the framework of\u00a0Horizon 2020 Framework Programme, Project PROMISCES (Preventing Recalcitrant Organic Mobile Industrial chemicalS for Circular Economy in the Soil-sediment-water system). Project website: https://promisces.eu/  The dataset contains information on the environmental concentrations of Per- and Polyfluoroalkyl substances (PFASs) collected as part of the PROMISCES project's Case Study #2,\u00a0Subtask 2.2.4 \u2013 Large catchment scale monitoring in different environmental compartments. It also includes data gathered from various external sources.  Abstract  PFASs are a group of synthetic chemicals widely used in various household and industrial applications (Gl\u00fcge et al., 2020). Due to their high chemical stability, PFASs are resistant to natural degradation processes, leading to their accumulation in different environmental matrices and ultimately posing potential health risks to humans (Sunderland et al., 2019). PROMISCES CS#2 focused on understading the fate and transport of PFASs in the upper Danube catchment, covering the Danube from its source to the city of Budapest. Over approximately 1.5 years, a comprehensive monitoring campaign was conducted in this study area, across multiple environmental compartments:\u00a0    Atmopsheric Deposition:\u00a0  River water: including Danube mainstream and its tributaries.  Groundwater: including bank-filtered water from the Danube, and groundwater directly influenced by the landfills  Landfill leachate  Surface Runoff  Wastewater: Influent and effluent from municipal waterwater treatment plants (WWTPs) and direct industrial dischargers   Particularly, the case study placed a special focus on the Danube and its bank filtration sites at two major cities in the Upper Danube, Vienna and Budapest.  The dataset primarily consists results from targeted analysis of 32 individual PFAS substances. In addition, available data for these 32 PFASs in the study area were collected from various online resources or provided directly by project partners. For confidentiality reasons, some external data have been anonymized on names and locations.\u00a0  Partial of this dataset have already contributed to a 2023 publication (Liu et al.), which was based on preliminary data before the completion of the full monitoring campaign and external data collection.  The full dataset was analysed and discussed in the publication Liu et al. (2025): https://www.doi.org/10.1186/s12302-025-01141-6  Technical Details  This dataset includes:    A Zip file containing .accdb Microsoft Access database  A ZIP file containing .csv files structured to match the database   Notice that the .accdb version is out of maintance and removed in version 3.0. The only changes compared to version 2.0 was the substance short-names for two compounds:    substance with CAS number 2355-31-9 updated from \u201cMeFOSAA\u201d to \u201cN-MeFOSAA\u201d  substance with CAS number 2991-50-6 updated from \u201cEtFOSAA\u201d to \u201cN-EtFOSAA   Database structure  One query is created to show most important information:    Concentrations_PFAS: contains all PFAS concentration data.\u00a0   In addition, tables were provided with more infomation on the metadata:    Table1_measurements: concentrations data with units, values, limit of quantifications (LOQs); keys indicating relationships with other tables.  Table2_samplings: sample codes, sampling times (if available), sampling type, sampling techniques; key indicating relationships with Table7_analytical_methods.  Table3_samples: sample names, sample sites, coordinates and coordinate systems (if available).  Table4_compartments: sample matrices/compartments, more detailed sample types.  Table5_compounds: CAS numbers, substance short names, Sus Dat IDs, substance names in NORMAN database, substance group short names and long names.  Table6_datasources: data source names, organisations, countries, references, links.  Table7_analytical_methods: laboratories, preparation methods, analytical methods, analytical method standards.   References  Gl\u00fcge, J., Scheringer M., Cousins I., DeWitt J., Goldenman G., Herzke D., Lohmann R., Ng A., Trier X., Wang Z (2020) An Overview of the Uses of Per- and Polyfluoroalkyl Substances (PFAS). Environmental Science: Processes & Impacts 12. https://doi.org/10.1039/D0EM00291G  Liu, M., Saracevic, E., Kittlaus, S., Oudega, T., Obeid, A., Nagy-Kov\u00e1cs, Z., L\u00e1szl\u00f3, B., Krlovic, N., Saracevic, Z., Lindner, G., Rab, R., Derx, J., Zoboli, O., Zessner, M. (2023) PFAS-Belastungen im Einzugsgebiet der oberen Donau. \u00d6sterr Wasser- und Abfallw 75, 503\u2013514 . https://doi.org/10.1007/s00506-023-00973-x\u00a0  Sunderland, Elsie M., Xindi C. Hu, Clifton Dassuncao, Andrea K. Tokranov, Charlotte C. Wagner, and Joseph G. Allen. (2019) A Review of the Pathways of Human Exposure to Poly- and Perfluoroalkyl Substances (PFASs) and Present Understanding of Health Effects. Journal of Exposure Science & Environmental Epidemiology 29, no. 2 : 131\u201347. https://doi.org/10.1038/s41370-018-0094-1", "keywords": ["Water management", "Environmental sciences", "water pollution", "emerging pollutants", "PFAS", "hazardous substances", "Danube", "water quality", "Pollution", "environmental monitoring"], "contacts": [{"organization": "Liu, Meiqi", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14027088"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14027088", "name": "item", "description": "10.5281/zenodo.14027088", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14027088"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-11-01T00:00:00Z"}}, {"id": "10.5281/zenodo.14936177", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-05-30T16:23:54Z", "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.15680931", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:24:11Z", "type": "Journal Article", "created": "2025-06-15", "title": "Investigating the extent of PFAS contamination in the Upper Danube Basin across environmental compartments", "description": "Abstract                        Background             <p>Per- and polyfluoroalkyl substances (PFAS) are emerging organic pollutants widely detected in environmental systems, posing risks to human health and the ecosystem. Despite increasing efforts to monitor PFAS in river systems, knowledge gaps remain regarding sources and emissions via different pathways. This study investigates PFAS contamination across multiple environmental compartments in the Upper Danube Basin, including surface water, groundwater, wastewater, landfill leachate, surface runoff, and atmospheric deposition. The primary objectives are to assess the extent of PFAS contamination, identify key emission sources and transport pathways, and evaluate associated risks in terms of the potential exceedance of current and proposed environmental regulatory thresholds in the European Union.</p>                                   Results             <p>The findings reveal a widespread presence of PFAS, with PFOA, PFOS and short-chain compounds being predominant. The Alz River and Gendorf chemical park emerge as hotspots with far-reaching effects downstream, contributing significantly to diffuse legacy contamination of PFOA and being a significant source of two industrial PFOA substitutes, ADONA and GenX. Wastewater treatment plants, old municipal landfills, and sites with a history of fire-fighting foam application are identified as key pathways or sources of legacy pollution, exhibiting higher concentrations compared to the other matrices. Notably, no significant removal is observed when comparing influent and effluent samples from conventional WWTPs. The study further demonstrates that groundwater is vulnerable to contamination from point sources and to infiltration from rivers, with bank filtration proving largely ineffective in preventing PFAS contamination.</p>                                   Conclusions             <p>The study underscores the necessity for source and pathway control measures to mitigate PFAS pollution, the implementation of advanced treatment technologies to safeguard drinking water and surface water quality, and targeted remediation for legacy soil and groundwater contamination. Additionally, strong use regulations should be explored to minimize ongoing emissions. The multi-compartment monitoring proves to be a crucial approach to understand the complexity of PFAS distribution at the catchment scale. Comparative analysis and risk assessment highlight challenging situations for water management, offering an indispensable basis for emission modeling as a next step for quantitative assessment of the relevance of different sources and pathways for surface water pollution.</p>", "keywords": ["Emerging contaminants", "Emerging Pollutants", "PFAS", "Source identification", "Watershed management", "Environmental sciences", "Emission", "Water Framework Directive", "Environmental law", "Water pollution", "GE1-350", "K3581-3598", "Catchment monitoring", "Environmental Monitoring"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1186/s12302-025-01141-6.pdf"}, {"href": "https://doi.org/10.5281/zenodo.15680931"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Sciences%20Europe", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15680931", "name": "item", "description": "10.5281/zenodo.15680931", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15680931"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-15T00:00:00Z"}}, {"id": "10.5281/zenodo.8089699", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:24:50Z", "type": "Journal Article", "created": "2019-11-28", "title": "High-resolution and three-dimensional mapping of soil texture of China", "description": "The lack of detailed three-dimensional soil texture information largely restricts many applications in agriculture, hydrology, climate, ecology and environment. This study predicted 90 m resolution spatial variations of sand, silt and clay contents at a national extent across China and at multiple depths 0\u20135, 5\u201315, 15\u201330, 30\u201360, 60\u2013100 and 100\u2013200 cm. We used 4579 soil profiles collected from a national soil series inventory conducted recently and currently available environmental covariates. The covariates characterized environmental factors including climate, parent materials, terrain, vegetation and soil conditions. We constructed random forest models and employed a parallel computing strategy for the predictions of soil texture fractions based on its relationship with the environmental factors. Quantile regression forest was used to estimate the uncertainty of the predictions. Results showed that the predicted maps were much more accurate and detailed than the conventional linkage maps and the SoilGrids250m product, and could well represent spatial variation of soil texture across China. The relative accuracy improvement was around 245\u2013370% relative to the linkage maps and 83\u2013112% relative to the SoilGrids250m product with regard to the R2, and it was around 24\u201326% and 14\u201319% respectively with regard to the RMSE. The wide range between 5% lower and 95% upper prediction limits may suggest that there was a substantial room to improve current predictions. Besides, we found that climate and terrain factors are major controllers for spatial patterns of soil texture in China. The heat and water-driven physical and chemical weathering and wind-driven erosion processes primarily shape the pattern of clay content. The terrain, wind and water-driven deposition, erosion and transportation sorting processes of soil particles primarily shape the pattern of silt. The findings provide clues for modeling future soil evolution and for national soil security management under the background of global and regional environmental changes.", "keywords": ["2. Zero hunger", "Digital soil mapping", "13. Climate action", "Large extent", "Machine learning", "Environmental factors", "Uncertainty", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.8089699"}, {"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": "10.5281/zenodo.8089699", "name": "item", "description": "10.5281/zenodo.8089699", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8089699"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-01T00:00:00Z"}}, {"id": "10.5846/stxb201105220671", "type": "Feature", "geometry": null, "properties": {"license": "unspecified", "updated": "2026-05-30T16:25:21Z", "type": "Journal Article", "created": "2012-08-20", "description": "Litter decomposition is an important component of nutrient cycling and carbon decomposition in grassland ecosystems,and livestock grazing has been a major human intervention to these process.The effects of grazing on litter decomposition vary with climate environment conditions and grassland vegetation types.Alpine mesophytic meadow and alpine semi-hydric marsh meadow are the two rangeland ecosystems commonly seen on the eastern Qinghai-Tibet Plateau,which differentiate themselves by not only the physic/bio environments but also the plant species composition and therefore the litter qualities.In order to understand grazing effects on the litter decomposition of these two meadows,grazed and fenced plots were set respectively on the both meadows.The rates of decomposition and nutrient release were measured for the three littler samples(mesophytic meadow mixed litter,Deschampsia caespitos litter,and Potentilla anserine litter) in the alpine mesophytic meadow plots,and three litter samples(semi-hydric marsh mixed litter,Carex muliensis litter\u3001Kobresia tibetica litter) in the semi-hyddric marsh meadow plots.The four species generally also represented the dominant species showing respectively in the reverse succession series driven by grazing and climate warming.It was found that there were significant differences in litter decompositions for the dominant species.In alpine mesophytic meadow,Potentilla anserine decomposed faster than Deschampsia caespitos,while in alpine semi-hydric meadowKobresia tibetica decomposed more quickly.Grazing accelerated the litter decomposition in general,but the responses varied with the species.On the other hand,Deschamp siacaespitos and Carex muliensis have lower decomposition rates in the grazed plots.Grazing has little effect on organic carbon decomposition and the release of C,but positively affected on the release of N and P from the litters.The patterns of litter decomposition and nutrient release of the dominant species suggested that there might exist a positive feedback effect in the alpine marsh meadow degradation due to the accelerating decomposition rate and C release along the reverse succession series.In addition,Potentilla anserine,a typical dominant species of in degraded meadow,was found to have higher litter quality and faster decomposition rate than the other species,reflecting that in the mesophytic community,the plant adopted 'evasion strategy' rather than 'resistance strategy' in response to heavy grazing.", "keywords": ["2. Zero hunger", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "\u738b\u5fd7\u8fdc Wang Zhiyuan, \u5b59\u5e9a Sun Geng, \u5434\u5b81 Wu Ning, \u7f57\u5149\u8363 Luo Guangrong, \u5f20\u8273\u535a Zhang Yanbo, \u7f57\u9e4f Luo Peng, \u725f\u6210\u9999 Mou Chengxiang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5846/stxb201105220671"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Acta%20Ecologica%20Sinica", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5846/stxb201105220671", "name": "item", "description": "10.5846/stxb201105220671", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5846/stxb201105220671"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/M4ZGXP", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:25:38Z", "type": "Dataset", "title": "MSZSI: Multi-Scale Zonal Statistics [AgriClimate] Inventory", "description": "&lt;b&gt;MSZSI: Multi-Scale Zonal Statistics [AgriClimate] Inventory&lt;/b&gt; &lt;br&gt;&lt;br&gt; -------------------------------------------------------------------------------------- &lt;br&gt; MSZSI is a data extraction tool for Google Earth Engine that aggregates time-series remote sensing information to multiple administrative levels using the FAO GAUL data layers. The code at the bottom of this page (metadata) can be pasted into the Google Earth Engine JavaScript code editor and ran at https://code.earthengine.google.com/.  &lt;br&gt;&lt;br&gt; &lt;i&gt;Please refer to the associated publication&lt;/i&gt;:  &lt;br&gt; Peter, B.G., Messina, J.P., Breeze, V., Fung, C.Y., Kapoor, A. and Fan, P., 2024. Perspectives on modifiable spatiotemporal unit problems in remote sensing of agriculture: evaluating rice production in Vietnam and tools for analysis. &lt;i&gt;Frontiers in Remote Sensing&lt;/i&gt;, 5, p.1042624. &lt;br&gt; &lt;a href='https://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2024.1042624'&gt;https://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2024.1042624&lt;/a&gt; &lt;br&gt;&lt;br&gt; &lt;i&gt;Input options:&lt;/i&gt; &lt;br&gt; [1] Country of interest &lt;br&gt; [2] Start and end year &lt;br&gt; [3] Start and end month &lt;br&gt; [4] Option to mask data to a specific land-use/land-cover type &lt;br&gt; [5] Land-use/land-cover type code from CGLS LULC &lt;br&gt; [6] Image collection for data aggregation &lt;br&gt; [7] Desired band from the image collection &lt;br&gt; [8] Statistics type for the zonal aggregations &lt;br&gt; [9] Statistic to use for annual aggregation &lt;br&gt; [10] Scaling options &lt;br&gt; [11] Export folder and label suffix &lt;br&gt;&lt;br&gt; &lt;i&gt;Output:&lt;/i&gt; Two CSVs containing zonal statistics for each of the FAO GAUL administrative level boundaries &lt;br&gt; &lt;i&gt;Output fields:&lt;/i&gt; system:index, 0-ADM0_CODE, 0-ADM0_NAME, 0-ADM1_CODE, 0-ADM1_NAME, 0-ADMN_CODE, 0-ADMN_NAME, 1-AREA_PERCENT_LULC, 1-AREA_SQM_LULC, 1-AREA_SQM_ZONE, 2-X_2001, 2-X_2002, 2-X_2003, ..., 2-X_2020, .geo &lt;br&gt;&lt;br&gt; &lt;img src ='https://github.com/cartoscience/seagul/blob/main/mszsi/mszsi_input_v5.PNG?raw=true' width='1000' height='auto'&lt;/img&gt; &lt;br&gt;&lt;br&gt; &lt;b&gt;PREPROCESSED DATA DOWNLOAD&lt;/b&gt; &lt;br&gt;&lt;br&gt; The datasets available for download contain zonal statistics at 2 administrative levels (FAO GAUL levels 1 and 2). Select countries from Southeast Asia and Sub-Saharan Africa &lt;b&gt;(Cambodia, Indonesia, Lao PDR, Myanmar, Philippines, Thailand, Vietnam, Burundi, Kenya, Malawi, Mozambique, Rwanda, Tanzania, Uganda, Zambia, Zimbabwe)&lt;/b&gt; are included in the current version, with plans to extend the dataset to contain global metrics. Each zip file is described below and two example NDVI tables are available for preview. &lt;br&gt;&lt;br&gt; &lt;b&gt;Key&lt;/b&gt;: [source, data, units, temporal range, aggregation, masking, zonal statistic, notes]  &lt;br&gt;&lt;br&gt; Currently available: &lt;br&gt;&lt;b&gt;MSZSI-V2_V-NDVI-MEAN.tar&lt;/b&gt;: [NASA-MODIS, NDVI, index, 2001\u20132020, annual mean, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_T-LST-DAY-MEAN.tar&lt;/b&gt;: [NASA-MODIS, LST Day, \u00b0C, 2001\u20132020, annual mean, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_T-LST-NIGHT-MEAN.tar&lt;/b&gt;: [NASA-MODIS, LST Night, \u00b0C, 2001\u20132020, annual mean, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_R-PRECIP-SUM.tar&lt;/b&gt;: [UCSB-CHG-CHIRPS, Precipitation, mm, 2001\u20132020, annual sum, agriculture, mean, n/a]  &lt;br&gt;&lt;b&gt;MSZSI-V2_S-BDENS-MEAN.tar&lt;/b&gt;: [OpenLandMap, Bulk density, g/cm3, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-ORGC-MEAN.tar&lt;/b&gt;: [OpenLandMap, Organic carbon, g/kg, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-PH-MEAN.tar&lt;/b&gt;: [OpenLandMap, pH in H2O, pH, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-WATER-MEAN.tar&lt;/b&gt;: [OpenLandMap, Soil water, % at 33kPa, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-SAND-MEAN.tar&lt;/b&gt;: [OpenLandMap, Sand, %, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-SILT-MEAN.tar&lt;/b&gt;: [OpenLandMap, Silt, %, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_S-CLAY-MEAN.tar&lt;/b&gt;: [OpenLandMap, Clay, %, static, n/a, agriculture, mean, at depths 0-10-30-60-100-200] &lt;br&gt;&lt;b&gt;MSZSI-V2_E-ELEV-MEAN.tar&lt;/b&gt;: [MERIT, [elevation, slope, flowacc, HAND], [m, degrees, km&lt;sup&gt;2&lt;/sup&gt;, m], static, n/a, agriculture, mean, n/a] &lt;br&gt;&lt;br&gt;&lt;i&gt;Coming soon&lt;/i&gt; &lt;br&gt;&lt;b&gt;MSZSI-V2_C-STAX-MEAN.tar&lt;/b&gt;: [OpenLandMap, Soil taxonomy, category, static, n/a, agriculture, area sum, n/a] &lt;br&gt;&lt;b&gt;MSZSI-V2_C-LULC-MEAN.tar&lt;/b&gt;: [CGLS-LC100-V3, LULC, category, 2015\u20132019, mode, none, area sum, n/a] &lt;br&gt;&lt;br&gt;&lt;br&gt; &lt;img src ='https://github.com/cartoscience/seagul/blob/main/mszsi/mszsi_diagram_v2.png?raw=true' width='1000' height='auto'&lt;/img&gt; &lt;br&gt;&lt;br&gt; &lt;b&gt;Data sources:&lt;/b&gt;  &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD13Q1'&gt;https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD13Q1&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD11A2'&gt;https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MOD11A2&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_PENTAD'&gt;https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_PENTAD&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_BULKDENS-FINEEARTH_USDA-4A1H_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_BULKDENS-FINEEARTH_USDA-4A1H_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_ORGANIC-CARBON_USDA-6A1C_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_ORGANIC-CARBON_USDA-6A1C_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_PH-H2O_USDA-4C1A2A_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_PH-H2O_USDA-4C1A2A_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_WATERCONTENT-33KPA_USDA-4B1C_M_v01&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_CLAY-WFRACTION_USDA-3A1A1A_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_CLAY-WFRACTION_USDA-3A1A1A_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_SAND-WFRACTION_USDA-3A1A1A_M_v02&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX_C_v01'&gt;https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_SOL_SOL_GRTGROUP_USDA-SOILTAX_C_v01&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global'&gt;https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/MERIT_Hydro_v1_0_1'&gt;https://developers.google.com/earth-engine/datasets/catalog/MERIT_Hydro_v1_0_1&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level0'&gt;https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level0&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level1'&gt;https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level1&lt;/a&gt; &lt;br&gt;&lt;li&gt;&lt;a href='https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level2'&gt;https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level2&lt;/a&gt;&lt;/li&gt; &lt;br&gt; &lt;b&gt;Project information:&lt;/b&gt; &lt;br&gt; SEAGUL: Southeast Asia Globalization, Urbanization, Land and Environment Changes &lt;br&gt; &lt;a href='http://seagul.info/'&gt;http://seagul.info/&lt;/a&gt;; &lt;a href='https://lcluc.umd.edu/projects/divergent-local-responses-globalization-urbanization-land-transition-and-environmental'&gt;https://lcluc.umd.edu/projects/divergent-local-responses-globalization-urbanization-land-transition-and-environmental&lt;/a&gt; &lt;br&gt; This project was made possible by the the NASA Land-Cover/Land-Use Change Program (Grant #: 80NSSC20K0740) &lt;br&gt;&lt;br&gt; For an additional interactive visualization, visit: &lt;a href='https://cartoscience.users.earthengine.app/view/maup-mapper-multi-scale-modis-ndvi'&gt;https://cartoscience.users.earthengine.app/view/maup-mapper-multi-scale-modis-ndvi&lt;/a&gt; &lt;br&gt;&lt;br&gt; &lt;img src ='https://github.com/cartoscience/seagul/blob/main/mszsi/mszsi_app.png?raw=true' width='1000' height='auto'&lt;/img&gt; &lt;br&gt;&lt;br&gt;&lt;br&gt; &lt;i&gt; Google Earth Engine code&lt;/i&gt; &lt;pre&gt; /*/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// MSZSI: Multi-Scale Zonal Statistics Inventory Authors: Brad G. Peter, Department of Geography, University of Alabama  Joseph Messina, Department of Geography, University of Alabama  Austin Raney, Department of Geography, University of Alabama  Rodrigo E. Principe, AgriCircle AG  Peilei Fan, Department of Geography, Environment, and Spatial Sciences, Michigan State University  Citation: Peter, Brad; Messina, Joseph; Raney, Austin; Principe, Rodrigo; Fan, Peilei, 2021,  'MSZSI: Multi-Scale Zonal Statistics Inventory', https://doi.org/10.7910/DVN/YCUBXS, Harvard Dataverse, V#  SEAGUL: Southeast Asia Globalization, Urbanization, Land and Environment Changes http://seagul.info/ https://lcluc.umd.edu/projects/divergent-local-responses-globalization-urbanization-land-transition-and-environmental This project was made possible by the the NASA Land-Cover/Land-Use Change Program (Grant #: 80NSSC20K0740)   ///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////*/  /*----------------------------------------------------------------------------------------------------------------------------------- Description: MSZSI is a data extraction tool for aggregating time-series remote sensing information to multiple administrative levels  using the FAO GAUL data layers.  Input parameterization: [1] Enter the country code for the desired country [2] Select a start and end year. Be sure to check for data availability in the collection selected in input 6. [3] Select a start month and end month to specify a temporal range within each year.  [4] Select an image collection for data aggregation. [5] Select the desired band from the image collection. [6] Option to mask data to a specific land-use/land-cover type. Enter 'TRUE' or 'FALSE'. [7] Enter a land-use/land-cover type code from CGLS LULC. Ignore this option if no masking is desired and set input 4 to 'FALSE'. [8] Select a statistics type for the zonal aggregations (defaults to mean) [9] Select a statistic for temporal aggregation (see available options in the parameterization below) [10] Scaling options [11] Export folder output file label suffix  Check tasks tab for CSV exports. Select a point on the map to view timeseries statistics.  Hover over the layers panel to turn layers on/off and set visualization parameters.   For an additional interactive visualization, visit: https://cartoscience.users.earthengine.app/view/maup-mapper-multi-scale-modis-ndvi  Boundary data Layers: https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level0 https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level1 https://developers.google.com/earth-engine/datasets/catalog/FAO_GAUL_2015_level2 -----------------------------------------------------------------------------------------------------------------------------------*/  // \u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022 USER PARAMETERIZATION \u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022  /*[1]*/ var countryCode = 264  // Refer to http://www.fao.org/in-action/countrystat/news-and-events/events/training-material/gaul-codes2014/en/  /*[2]*/ var startYear = 2001 // Check data availability for the collection selected in input 4  var endYear = 2020 /*[3]*/ var startMonth = 1  var endMonth = 12  /*[4]*/ var ic = ee.ImageCollection('MODIS/006/MOD13Q1') /*[5]*/ var band = 'NDVI'  /*[6]*/ var maskToLULC = 'TRUE' // Set to 'TRUE' or 'FALSE'  /*[7]*/ var lcType = 40   // Refer to https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_Landcover_100m_Proba-V-C3_Global  /*[8]*/ var zonalStatType = ee.Reducer.mean() // examples: ee.Reducer.mean(), ee.Reducer.median(), ee.Reducer.stdDev(),   // ee.Reducer.min(), ee.Reducer.max(), ee.Reducer.sum() /*[9]*/ var temporalAggregateType = 'mean' // available options: 'mean', 'median', 'stddev', 'min', 'max', 'sum'  /*[10]*/ var nativeScale = 'TRUE' // Set to 'TRUE' or 'FALSE'  var scale = 1000 // option to increase the scale to avoid memory crashes  /*[11]*/ var exportFolder = 'GEE_Exports'  var labelSuffix = 'NDVI-MEAN_VIETNAM'  // sample export name: MSZSI-V2_2001-2020_1-12_LC40_GAUL-152-L1_NDVI-MEAN_VIETNAM, but can be changed during download prompt  // note that some country names will need to be adjusted in the download prompt if they contain special characters  ///////////////////////////////////////////////////// NO USER INPUT NEEDED BELOW ////////////////////////////////////////////////////  // Administrative zones and preprocessing ------------------------------------------------------------------------------------------- ic = ic.select(band) var years = ee.List.sequence(startYear,endYear)  var fc_L0 = ee.FeatureCollection('FAO/GAUL/2015/level0').filterMetadata('ADM0_CODE','equals',countryCode) var fc_L1 = ee.FeatureCollection('FAO/GAUL/2015/level1').filterMetadata('ADM0_CODE','equals',countryCode)  .select(['ADM0_CODE','ADM0_NAME','ADM1_CODE','ADM1_NAME'],  ['0-ADM0_CODE','0-ADM0_NAME','0-ADM1_CODE','0-ADM1_NAME']) fc_L1 = fc_L1.map(function(f) {  return f.set('0-ADM2_CODE','NULL').set('0-ADM2_NAME','NULL')  })   var fc_L2 = ee.FeatureCollection('FAO/GAUL/2015/level2').filterMetadata('ADM0_CODE','equals',countryCode)  .select(['ADM0_CODE','ADM0_NAME','ADM1_CODE','ADM1_NAME','ADM2_CODE','ADM2_NAME'],  ['0-ADM0_CODE','0-ADM0_NAME','0-ADM1_CODE','0-ADM1_NAME','0-ADM2_CODE','0-ADM2_NAME'])  // LULC preprocessing --------------------------------------------------------------------------------------------------------------- var lulc = ee.ImageCollection('COPERNICUS/Landcover/100m/Proba-V-C3/Global').select('discrete_classification') var lulcMode = lulc.mode().eq(lcType) var lcLabel = '_LC'+lcType var lulcClip = lulcMode.clip(fc_L0) var lulcZone = lulcClip.remap([0,1],[1,1]).rename('zoneArea') var mask = lulcClip.updateMask(lulcClip.eq(1)).rename('mask')  if(maskToLULC == 'FALSE') {  lcLabel = ''  mask = lulcZone }  if(nativeScale == 'TRUE') {  scale = lulc.first().projection().nominalScale() }  // Add area fields ------------------------------------------------------------------------------------------------------------------ var temporal = ee.ImageCollection(years.map(function(y) {  var filterYear = ic.filter(ee.Filter.calendarRange(y,y,'year'))  .filter(ee.Filter.calendarRange(startMonth, endMonth, 'month'))   var aggregate // the temporal aggregation type is set in input 9  if (temporalAggregateType == 'mean') {  aggregate = filterYear.mean()  }  if (temporalAggregateType == 'median') {  aggregate = filterYear.median()  }  if (temporalAggregateType == 'stddev') {  aggregate = filterYear.stdDev()  }  if (temporalAggregateType == 'min') {  aggregate = filterYear.min()  }  if (temporalAggregateType == 'max') {  aggregate = filterYear.max()  }  if (temporalAggregateType == 'sum') {  aggregate = filterYear.sum()  }    return aggregate.where(aggregate.eq(0),1e-10) // True zeroes are currently set to 1e-10 to avoid false no data flags  .updateMask(mask)  .set('extract',ee.String('2-'+labelSuffix+'_').cat(ee.Number(y).toInt()))  .set('year',ee.Number(y).toInt())  .rename('band') }))  // Run functions for each administrative level -------------------------------------------------------------------------------------- var zonal_L1 = zonalStat(fc_L1) var zonal_L2 = zonalStat(fc_L2) var merge = zonal_L1.combine(zonal_L2)  var fcAreas_L1 = getAreas(fc_L1) var fcAreas_L2 = getAreas(fc_L2)  var samples_L1 = createSamples(fc_L1) var samples_L2 = createSamples(fc_L2)  var added_L1 = addFields(samples_L1,fcAreas_L1.select('zoneAreas'),fcAreas_L1.select('lulcAreas')) var added_L2 = addFields(samples_L2,fcAreas_L2.select('zoneAreas'),fcAreas_L2.select('lulcAreas'))  exporter(added_L1,zonal_L1,1) exporter(added_L2,zonal_L2,2)  // Calculate zonal statistics ------------------------------------------------------------------------------------------------------- function zonalStat(fc) {  return temporal.map(function(i) {  var year = i.get('year')  return i.reduceRegions({  collection: fc,  reducer: ee.Reducer.mean().setOutputs(['zStat']),   scale: scale  }).reduceToImage({  properties: ['zStat'],  reducer: ee.Reducer.first()  }).set('extract',i.get('extract')).set('year',year).rename('band')  }) }  // Calculate areas ------------------------------------------------------------------------------------------------------------------ function getAreas(fc) {  var zoneAreas = ee.Image.pixelArea().updateMask(lulcZone).reduceRegions({  collection: fc,  reducer: ee.Reducer.sum(),   scale: scale  }).reduceToImage({  properties: ['sum'],  reducer: ee.Reducer.first()  }).rename('zoneAreas')  var lulcAreas = ee.Image.pixelArea().updateMask(mask).reduceRegions({  collection: fc,  reducer: ee.Reducer.sum(),   scale: scale  }).reduceToImage({  properties: ['sum'],  reducer: ee.Reducer.first()  }).rename('lulcAreas')  return zoneAreas.addBands(lulcAreas) }  // Feature to points ---------------------------------------------------------------------------------------------------------------- function createSamples(fc) {  return fc.map(function(g) {  return ee.Feature(ee.FeatureCollection.randomPoints({  region: g.geometry(),   points: 1,   seed: 0  }).geometry()).copyProperties(g)  })  }  // Add area fields ------------------------------------------------------------------------------------------------------------------ function addFields(samples, areaGridZone, areaGridLULC) {  return samples.map(function(p) {  var point = p.geometry()  var zoneArea = areaGridZone.rename('area').reduceRegion({  reducer: ee.Reducer.first(),   geometry: point,   scale: 1,   maxPixels: 1e13  }).get('area')  var lulcArea = areaGridLULC.rename('area').reduceRegion({  reducer: ee.Reducer.first(),  geometry: point,  scale: 1  }).get('area')  var percLULC = ee.Number(lulcArea).divide(zoneArea).multiply(100)  return ee.Feature(p).set('1-AREA_SQM_LULC',0)  .set('1-AREA_SQM_ZONE',zoneArea).set('1-AREA_SQM_LULC',ee.Algorithms.If(lulcArea,lulcArea,0))  .set('1-AREA_PERCENT_LULC',ee.Algorithms.If(lulcArea,percLULC,0))  }) }  // Export function ------------------------------------------------------------------------------------------------------------------ function exporter(e,zones,n) {  var extracted = e.map(extractToPoints)  function extractToPoints(feature) {  var geom = feature.geometry()  var addField = function(image, f) {  var newFeature = ee.Feature(f)  var getName = image.get('extract')  var setValue = image.reduceRegion({  reducer: ee.Reducer.first(),   geometry: geom,   scale: 1,   maxPixels: 1e13  }).get('band')  return ee.Feature(ee.Algorithms.If(setValue,  newFeature.set(getName, ee.String(setValue)),  newFeature.set(getName, ee.String('No data'))))  }  var newFeature = ee.Feature(zones.iterate(addField, feature))  return newFeature  }    Export.table.toDrive({  collection: extracted,  description: 'MSZSI-V2_'+startYear+'-'+endYear+'_'+startMonth+'-'+endMonth  +lcLabel+'_GAUL-'+countryCode+'-L'+n+'_'+labelSuffix,  folder: exportFolder  }) }  // Map display settings ------------------------------------------------------------------------------------------------------------- var leftMap = ui.Map() var rightMap = ui.Map() ui.Map.Linker([leftMap, rightMap]) ui.root.widgets().reset([leftMap,rightMap]) leftMap.centerObject(fc_L0) leftMap.setOptions('HYBRID').style().set('cursor', 'crosshair') rightMap.setOptions('HYBRID').style().set('cursor', 'crosshair')  // Adds each image to the map displays var len = years.length().getInfo() for (var i = 0; i &lt; len; i++) {  var year = i+startYear  var namer = 'ZSTATS_'+year  var image_L1 = ee.Image(zonal_L1.toList(zonal_L1.size()).get(i)).rename(band)  var image_L2 = ee.Image(zonal_L2.toList(zonal_L2.size()).get(i)).rename(band)  leftMap.addLayer(image_L1,{},namer,false)  rightMap.addLayer(image_L2,{},namer,false) }  var hollow = {color: 'white', width: 0.3, fillColor: '00000000'} leftMap.addLayer(fc_L1.style(hollow),{},'FAO-GAUL-L1') rightMap.addLayer(fc_L2.style(hollow),{},'FAO-GAUL-L2')  // Chart display settings ----------------------------------------------------------------------------------------------------------- var chartOptions = {  fontSize: 11,  width: '100px',  curveType: 'function',  format: 'short',  margin: '0 0 0 0',  hAxis: {format: '0000', textStyle: {fontSize: 10, color: '303030'}, gridlines: {color: 'transparent'}},  vAxis: {textStyle: {fontSize: 10, color: '303030'}, gridlines: {}},  trendlines: {0: {color: '303030', lineWidth: 0.5, visibleInLegend: false}},  series: {0: {color: '303030', lineWidth: 0.8}},  legend: {textStyle: {color: '303030'}}, }  var panelStyle = {  width: '235px',  position: 'bottom-left',  margin: '0 0 0 0',  border: '1px solid #303030' } var leftChart = ui.Panel({  widgets: ui.Label('Select a point to chart regional time-series',{margin: '0 0 0 0', color:'303030'}),  style: panelStyle }) leftMap.add(leftChart)  // onClick function to query time-series --------------------------------------------------------------------------------------------  function pickLocation(location) {  leftChart.widgets().set(0,ui.Label('Time-series',{fontSize: '14px', fontWeight: 'bold', color: '303030', margin: '7px 0 7px 10px'}))  var chartOptions = {  fontSize: 10,  height: '200px',  curveType: 'function',  format: 'short',  margin: '0 0 0 0',  hAxis: {format: '0000', textStyle: {fontSize: 11, color: '303030'}, gridlines: {color: 'transparent'}},  vAxis: {textStyle: {fontSize: 10, color: '303030'}, gridlines: {}},  trendlines: {0: {color: 'blue', lineWidth: 0.5, visibleInLegend: false},  1: {color: 'red', lineWidth: 0.5, visibleInLegend: false}  },  series: {0: {color: 'blue', lineWidth: 0.8},  1: {color: 'red', lineWidth: 0.8}  },  legend: {position:'none'}  }    leftChart.widgets().set(1,ui.Label('Loading...',{fontSize: '13px',color:'9C9C9C', margin: '0 0 7px 10px'}))  leftChart.widgets().set(2,ui.Label('',{fontSize: '13px',color:'9C9C9C', margin: '0 0 7px 10px'}))    var pLat = location.lat  var pLon = location.lon  var point = ee.Geometry.Point([pLon,pLat])  var selection_L1 = fc_L1.filterBounds(point)  var selection_L2 = fc_L2.filterBounds(point)  var zone_L1_name = ee.Feature(selection_L1.first()).get('0-ADM1_NAME')  var zone_L2_name = ee.Feature(selection_L2.first()).get('0-ADM2_NAME')    leftChart.widgets().set(3,ui.Chart.image.series({  imageCollection: merge,  region: point,  scale: scale,  xProperty: 'year'  }).setOptions(chartOptions))    zone_L1_name.evaluate(function(result_L1) {  zone_L2_name.evaluate(function(result_L2) {  leftChart.widgets().set(1,ui.Label(result_L1+' (L1)',{fontSize: '13px', color: 'blue', margin: '0 0 7px 10px'}))  leftChart.widgets().set(2,ui.Label(result_L2+' (L2)',{fontSize: '13px', color: 'red', margin: '0 0 0 10px'}))  })  })    leftMap.layers().set(len+1, ui.Map.Layer(point,{color: 'blue', opacity: 0.6},'Selected point'))  rightMap.layers().set(len+1, ui.Map.Layer(point,{color: 'red', opacity: 0.6},'Selected point')) }  leftMap.onClick(pickLocation) rightMap.onClick(pickLocation) &lt;/pre&gt;", "keywords": ["Computer and Information Science", "Agricultural Sciences", "Earth and Environmental Sciences", "Social Sciences"], "contacts": [{"organization": "Peter, Brad, Messina, Joseph, Raney, Austin, Principe, Rodrigo, Fan, Peilei,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.7910/DVN/M4ZGXP"}, {"rel": "self", "type": "application/geo+json", "title": "10.7910/DVN/M4ZGXP", "name": "item", "description": "10.7910/DVN/M4ZGXP", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.7910/DVN/M4ZGXP"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-01T00:00:00Z"}}, {"id": "10.7910/DVN/T8CMAT", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:25:38Z", "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": "11586/524923", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:26:15Z", "type": "Journal Article", "created": "2024-12-03", "title": "Addressing the environmental sustainability of plastics used in agriculture: a multi-actor perspective", "description": "Abstract                   <p>Plastics used in agriculture, commonly known as agriplastics (AP), offer numerous advantages in terrestrial agriculture, forestry, fisheries and aquaculture, but the diffusion of AP-intensive practices has led to extensive pollution. This review aims to synthesise scientific and policy discussions surrounding AP, examining evidence of their benefits and detrimental environmental and agricultural impacts. Following the proposal of a preliminary general taxonomy of AP, this paper presents the findings from a survey conducted among international experts from the plastic industry, farmer organisations, NGOs and environmental research institutes. This analysis highlights knowledge gaps, demands and perspectives for the sustainable future use of AP. Stakeholder positions vary on the options of \uffe2\uff80\uff98rejection\uffe2\uff80\uff99 or \uffe2\uff80\uff98reduction\uffe2\uff80\uff99 of AP, as well as the role of alternative materials such as (bio)degradable and compostable plastics. However, there is consensus on critical issues such as redesign, labelling, traceability, environmental safety standards, deployment and retrieval standards, as well as innovative waste management approaches. All stakeholders express concern for the environment. A \uffe2\uff80\uff98best practice\uffe2\uff80\uff99-based circular model was elaborated capturing these perspectives. In the context of global food systems increasingly reliant on AP, scientists emphasise the need to simultaneously preserve nature-based and traditional knowledge-based sustainable agricultural practices to enhance food system resilience.</p", "keywords": ["multi-actor approach", "330", "Multi-actor approach", "Agriculture", "Environmental technology. Sanitary engineering", "630", "Environmental sciences", "plastic pollution", "plastic waste", "Agriplastics", "Plastic pollution", "Plastic waste", "agriplastics", "GE1-350", "TD1-1066", "agriculture"]}, "links": [{"href": "https://doi.org/11586/524923"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Cambridge%20Prisms%3A%20Plastics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11586/524923", "name": "item", "description": "11586/524923", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11586/524923"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-04T00:00:00Z"}}, {"id": "1854/LU-8732814", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:26:24Z", "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": "1871.1/bbc7e25d-d1b9-4c7d-baa4-1a09012f06b2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:26:25Z", "type": "Journal Article", "created": "2022-11-21", "title": "Global biomass burning fuel consumption and emissions at 500\u2009m spatial resolution based on the Global Fire Emissions Database (GFED)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. In fire emission models, the spatial resolution of both the modelling framework and the satellite data used to quantify burned area can have considerable impact on emission estimates. Consideration of this sensitivity is especially important in areas with heterogeneous land cover and fire regimes and when constraining model output with field measurements. We developed a global fire emissions model with a spatial resolution of 500\u2009m using MODerate resolution Imaging Spectroradiometer (MODIS) data. To accommodate this spatial resolution, our model is based on a simplified version of the Global Fire Emissions Database (GFED) modelling framework. Tree mortality as a result of fire, i.e.\u00a0fire-related forest loss, was modelled based on the overlap between 30\u2009m forest loss data and MODIS burned area and active fire detections. Using this new 500\u2009m model, we calculated global average carbon emissions from fire of 2.1\u00b10.2 (\u00b11\u03c3 interannual variability, IAV)\u2009Pg\u2009C\u2009yr\u22121 during 2002\u20132020. Fire-related forest loss accounted for 2.6\u00b10.7\u2009% (uncertainty range =1.9\u2009%\u20133.3\u2009%) of global burned area and 24\u00b16\u2009% (uncertainty range =16\u2009%\u201331\u2009%) of emissions, indicating that fuel consumption in forest fires is an order of magnitude higher than the global average. Emissions from the combustion of soil organic carbon (SOC) in the boreal region and tropical peatlands accounted for 13\u00b14\u2009% of global emissions. Our global fire emissions estimate was higher than the 1.5\u2009Pg\u2009C\u2009yr\u22121 from GFED4 and similar to 2.1\u2009Pg\u2009C\u2009yr\u22121 from GFED4s. Even though GFED4s included more burned area by accounting for small fires undetected by the MODIS burned area mapping algorithm, our emissions were similar to GFED4s due to higher average fuel consumption. The global difference in fuel consumption could mainly be explained by higher SOC emissions from the boreal region as constrained by additional measurements. The higher resolution of the 500\u2009m model also contributed to the difference by improving the simulation of landscape heterogeneity and reducing the scale mismatch in comparing field measurements to model grid cell averages during model calibration. Furthermore, the fire-related forest loss algorithm introduced in our model led to more accurate and widespread estimation of high-fuel-consumption burned area. Recent advances in burned area detection at resolutions of 30\u2009m and finer show a substantial amount of burned area that remains undetected with 500\u2009m sensors, suggesting that global carbon emissions from fire are likely higher than our 500\u2009m estimates. The ability to model fire emissions at 500\u2009m resolution provides a framework for further improvements with the development of new satellite-based estimates of fuels, burned area, and fire behaviour, for use in the next generation of GFED.</p></article>", "keywords": ["QE1-996.5", "13. Climate action", "11. Sustainability", "Geology", "15. Life on land", "7. Clean energy", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/1871.1/bbc7e25d-d1b9-4c7d-baa4-1a09012f06b2"}, {"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": "1871.1/bbc7e25d-d1b9-4c7d-baa4-1a09012f06b2", "name": "item", "description": "1871.1/bbc7e25d-d1b9-4c7d-baa4-1a09012f06b2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1871.1/bbc7e25d-d1b9-4c7d-baa4-1a09012f06b2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-30T00:00:00Z"}}, {"id": "1887/4246123", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:26:27Z", "type": "Journal Article", "created": "2023-08-30", "title": "Inland Waters Increasingly Produce and Emit Nitrous Oxide", "description": "Nitrous oxide (N2O) is a long-lived greenhouse gas and currently contributes \u223c10% to global greenhouse warming. Studies have suggested that inland waters are a large and growing global N2O source, but whether, how, where, when, and why inland-water N2O emissions changed in the Anthropocene remains unclear. Here, we quantify global N2O formation, transport, and emission along the aquatic continuum and their changes using a spatially explicit, mechanistic, coupled biogeochemistry-hydrology model. The global inland-water N2O emission increased from 0.4 to 1.3 Tg N yr-1 during 1900-2010 due to (1) growing N2O inputs mainly from groundwater and (2) increased inland-water N2O production, largely in reservoirs. Inland waters currently contribute 7 (5-10)% to global total N2O emissions. The highest inland-water N2O emissions are typically in and downstream of reservoirs and areas with high population density and intensive agricultural activities in eastern and southern Asia, southeastern North America, and Europe. The expected continuing excessive use of nutrients, dam construction, and development of suboxic conditions in aging reservoirs imply persisting high inland-water N2O emissions.", "keywords": ["Inland waters", "N2O cycling", " long-term temporal changes", "long-term temporal changes", "Nitrous oxide", "Asia", " Southern", "Nitrous Oxide", "Integrated process-based modeling", "Water", "Agriculture", "General Chemistry", "15. Life on land", "N2O cycling", "6. Clean water", "Greenhouse gas emission", "13. Climate action", "Environmental Chemistry", "14. Life underwater", "Spatial distributions", "closed N2O budget"]}, "links": [{"href": "https://doi.org/1887/4246123"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1887/4246123", "name": "item", "description": "1887/4246123", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1887/4246123"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-30T00:00:00Z"}}, {"id": "1959.7/uws:73855", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:26:30Z", "type": "Journal Article", "created": "2022-11-28", "title": "UV index and climate seasonality explain fungal community turnover in global drylands", "description": "AbstractAim<p>Fungi are major drivers of ecosystem functioning. Increases in aridity are known to negatively impact fungal community composition in dryland ecosystems globally; yet, much less is known on the potential influence of other environmental drivers, and whether these relationships are linear or nonlinear.</p>Time period<p>2017\uffe2\uff80\uff932021.</p>Location<p>Global.</p>Major taxa studied<p>Fungi.</p>Methods<p>We re\uffe2\uff80\uff90analysed multiple datasets from different dryland biogeographical regions, for a total of 912 samples and 1,483 taxa. We examined geographical patterns in community diversity and composition, and spatial, edaphic and climatic factors driving them.</p>Results<p>UV index, climate seasonality, and sand content were the most important environmental predictors of community shifts, showing the strongest association with the richness of putative plant pathogens and saprobes. Important nonlinear relationships existed with each of these fungal guilds, with increases in UV and temperature seasonality above 7.5 and 900 SD (standard deviation x 100 of the mean monthly temperature), respectively, being associated with an increased probability of plant pathogen and unspecified saprotroph occurrence. Conversely, these environmental parameters had a negative relationship with litter and soil saprotroph richness. Consequently, these ecological groups might be particularly sensitive to shifts in UV radiation and climate seasonality, which is likely to disturb current plant\uffe2\uff80\uff93soil dynamics in drylands.</p>Main conclusions<p>Our synthesis integrates fungal community data from drylands across the globe, allowing the investigation of fungal distribution and providing the first evidence of shifts in fungal diversity and composition of key fungal ecological groups along diverse spatial, climatic and edaphic gradients in these widely distributed ecosystems. Our findings imply that shifts in soil structure and seasonal climatic patterns induced by global change will have disproportionate consequences for the distribution of fungal groups linked to vegetation and biogeochemical cycling in drylands, with implications for plant\uffe2\uff80\uff93soil interactions in drylands.</p", "keywords": ["0106 biological sciences", "0301 basic medicine", "570", "drylands", "fungal traits", "Drylands", "Fungal traits", "Fungi", "500", "15. Life on land", "01 natural sciences", "Environmental predictors", "03 medical and health sciences", "climate change", "13. Climate action", "Settore BIO/07 - ECOLOGIA", "XXXXXX - Unknown", "Climate change", "fungi", "environmental predictors", "climate change; drylands; environmental predictors; fungal traits; fungi"]}, "links": [{"href": "https://openpub.fmach.it/bitstream/10449/78989/1/2023%20GEB%20Albanese.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/geb.13607"}, {"href": "https://doi.org/1959.7/uws:73855"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Ecology%20and%20Biogeography", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1959.7/uws:73855", "name": "item", "description": "1959.7/uws:73855", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1959.7/uws:73855"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-27T00:00:00Z"}}, {"id": "10.1016/j.agee.2017.04.015", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:58Z", "type": "Journal Article", "created": "2017-05-06", "title": "Ecosystem service delivery of agri-environment measures: A synthesis for hedgerows and grass strips on arable land", "description": "Abstract   In north western Europe, agricultural systems are generally managed to maximize the potential delivery of provisioning ecosystem services. This has often been at the expense of other ecosystem services. Because the current supply of most ecosystem services is insufficient to meet the increasing demand, particular attention to ecosystem service delivery and hence multifunctionality in agriculture is vital. In this paper, we quantitatively assessed the impact of hedgerows and grass strips bordering parcels with annual arable crops on the simultaneous delivery of a set of ecosystem services and from there we identified synergies and trade-offs on virtual parcels. After a systematic literature search, mixed models were applied on observations from 60 studies and quantitative effect relationships between ecosystem service delivery and hedgerow and grass strip characteristics were developed. Next to the hedgerow, until a distance of twice the hedgerow height, arable crop yield was reduced by 29%. Beyond this distance, until 20 times the hedgerow height, crop yield was increased by 6%. Compared to a similar arable parcel without hedgerow or grass strip, soil carbon stock was 22% higher in the hedgerow, on average 6% higher in the adjacent parcel next to the hedgerow and 37% higher in the upper 30\u00a0cm soil layer in the grass strip. Both hedgerows and grass strips intercepted nitrogen from the surface (69% and 67%, respectively) and subsurface (34% and 32%, respectively) flow and phosphorus (67% and 73%, respectively) and soil sediment (91% and 90%, respectively) from the surface flow. More natural predator species were found on parcels with hedgerows, but the number of predators was unaffected. On parcels with grass strips, both predator density and diversity was higher and aphid density was reduced. Our calculations on parcel level indicate that the trade-off between arable crop yield and regulating ecosystem services depends on hedgerow width and height and parcel dimensions. A similar trade-off is found on parcels with grass strips, but increasing grass strip width results in a proportionally higher delivery of regulating ecosystem services.", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2017.04.015"}, {"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.2017.04.015", "name": "item", "description": "10.1016/j.agee.2017.04.015", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2017.04.015"}, {"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": "10.1016/j.eja.2009.05.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:29Z", "type": "Journal Article", "created": "2009-06-19", "title": "Multiple Functions Of Buffer Strips In Farming Areas", "description": "Buffer strips (BSs) are strips interposed between fields and streams that intercept and treat the waters leaving cropland, and so are a useful tool for reducing agricultural diffuse pollution in lowland areas. If properly vegetated and managed, they can also produce wood for burning, act as sinks for atmospheric CO2 and enhance the landscape beauty. The paper presents an analysis of the different functions of BS and reviews the more important data from research programmes conducted over the last decade in Veneto Region (North-East Italy). Over a period of 3-5 years, in two experimental sites, young BS reduced total runoff by 33%, losses of N by 44% and P by 50% compared to no-BS. A mature BS was able to abate both NO3-N and dissolved phosphorus concentrations by almost 100%, in most cases having exiting water that satisfied the limit for avoiding eutrophication. The BS also proved to be a useful barrier for herbicides, with concentrations abated by 60% and 90%, depending on the chemical and the time elapsed since application. Considering the CO2 immobilized in the wood and soil together, the different BS monitored stored up to 80 t ha-1 year-1 . The BS caused negligible disturbance to maize, soybean and sugarbeet yields. The hedgerows, par- ticularly if composed of trees taller than 6 m, positively influenced the aesthetic value of the territory, improving its perceived naturalness and screening the man-made elements. Lastly, through a multi-objective analysis, opportunity costs were estimated to support the public decision-maker in determining the subsidies to be paid to encourage farmers to plant BS.", "keywords": ["2. Zero hunger", "multifunction", "13. Climate action", "buffer strip", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "buffer strips; diffused pollution; CO2 immobilistion; economics", "15. Life on land", "01 natural sciences", "hedgerow", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.eja.2009.05.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/European%20Journal%20of%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.eja.2009.05.003", "name": "item", "description": "10.1016/j.eja.2009.05.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.eja.2009.05.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2010-01-01T00:00:00Z"}}, {"id": "10.1016/j.radmeas.2019.106187", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:14Z", "type": "Journal Article", "created": "2019-09-16", "title": "Phenomenological model of aluminium-hole ([AlO4/h+]0) defect formation in sedimentary quartz upon room temperature irradiation: electron spin resonance (ESR) study", "description": "Abstract   The mechanism governing the production of the paramagnetic [AlO4/h+]0 centres (denoted also as Al-hole or Al-h) in quartz as a function of given dose is of great importance in electron spin resonance (ESR) dating, as the analytical function used to characterise the evolution of this centre with accumulated dose is used to derive the equivalent dose by extrapolation to the abscissa-axis. The single saturating exponential model fails to accurately represent the dose response curve especially at high doses, and consequently, empirical functions, such as a saturating exponential plus a linear term, are widely used in the dating community. Herein, a physical phenomenological model is presented to describe the Al-hole formation under gamma irradiation in sedimentary quartz. Based on previous studies it is known that the Al-hole centre is formed via the dissociation of the Al centres compensated with alkali ions [AlO4/M+]0 (generally denoted as Al-M) where M+ could be Li+, Na+ or K+, as well as by the dissociation of Al compensated with hydrogen ions [AlO4/H+]0, (denoted as Al\u2013H). When irradiation moves interstitial alkali ions away from the aluminium ions, they can be replaced by H+ ions beside the conversion to Al-hole centres. By assuming that the rate of the dissociation process is proportional to the concentration of the defects themselves, a sum of saturating exponential functions is obtained for describing the growth of Al-hole with dose. The model is applied on data obtained on sedimentary quartz specimens of different origins for describing the dose response of the paramagnetic Al-hole ESR signal. We are showing that the signal of Al-hole does not reach full saturation at doses even as high as 100\u00a0kGy and can it be well represented by two exponential components as predicted by the model. As such, the additional linear term reported by other works when describing the dose response is just a first order approximation of one of the saturating exponential functions.", "keywords": ["03 medical and health sciences", "0302 clinical medicine", "ESR dating Al-hole centres ([AlO4/h+]0)Production mechanism Dose response curve", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.radmeas.2019.106187"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Radiation%20Measurements", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.radmeas.2019.106187", "name": "item", "description": "10.1016/j.radmeas.2019.106187", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.radmeas.2019.106187"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2018.12.007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:57Z", "type": "Journal Article", "created": "2018-12-19", "title": "Organic carbon content controls the severity of water repellency and the critical moisture level across New Zealand pasture soils", "description": "<p>Organic matter can render soil hydrophobic and cause soil water repellency (SWR) which has large implications for agriculture. Consequences such as fingered flow, uneven wetting patterns, and increased overland flow reduce irrigation efficiency and plant nutrient availability. The phenomenon of SWR is a transient soil property depending, inter alia, on soil water content (w). Soil can exhibit SWR from oven-dry w until the critical w where it again becomes fully wettable (w<sub>NON</sub>). The total SWR can be obtained from the nonlinear SWR-w relationship as the integrated trapezoidal area under the SWR-w curve (SWR<sub>AREA</sub>). We analyzed 78 soil samples, representing five dominant soil orders in the South Island of New Zealand. The soils had a large range in clay (0.000\u20130.520 kg kg<sup>\u22121</sup>) and organic carbon (OC) content (0.021\u20130.217 kg kg<sup>\u22121</sup>). The degree of SWR was measured on soils at air-dry conditions (SWR<sub>AD</sub>) and after heat-pretreatment at 60 (SWR<sub>60</sub>) and 105\u00b0C (SWR<sub>105</sub>). Further, SWR was measured in small w increments above air-dry w until w<sub>NON</sub> was reached. The SWR-w curves were either unimodal or bimodal, or no SWR occurred. SWR<sub>AREA</sub> ranged from 0.16 to 26.82 mN m<sup>\u22121</sup> kg kg<sup>\u22121</sup>. Among the five soil orders tested, the Podzols exhibited the highest severity in SWR, whereas the Semiarid soils were the least hydrophobic soils. In conclusion, OC was the main factor for controlling the severity of SWR. Though, pH also had minor effects on SWR. Further, an upper limit critical water content was derived from the simple relationship between the w<sub>NON</sub> and OC, which could be applied to improve irrigation practices of pastoral soils. However, there is a need for further testing on different soils and land uses.</p>", "keywords": ["2. Zero hunger", "07 Agricultural and Veterinary Sciences", "05 Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "06 Biological Sciences", "910", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2018.12.007"}, {"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.2018.12.007", "name": "item", "description": "10.1016/j.geoderma.2018.12.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2018.12.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.1007/s00442-004-1788-8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:14:59Z", "type": "Journal Article", "created": "2005-02-01", "title": "Effects Of Fire On Properties Of Forest Soils: A Review", "description": "Many physical, chemical, mineralogical, and biological soil properties can be affected by forest fires. The effects are chiefly a result of burn severity, which consists of peak temperatures and duration of the fire. Climate, vegetation, and topography of the burnt area control the resilience of the soil system; some fire-induced changes can even be permanent. Low to moderate severity fires, such as most of those prescribed in forest management, promote renovation of the dominant vegetation through elimination of undesired species and transient increase of pH and available nutrients. No irreversible ecosystem change occurs, but the enhancement of hydrophobicity can render the soil less able to soak up water and more prone to erosion. Severe fires, such as wildfires, generally have several negative effects on soil. They cause significant removal of organic matter, deterioration of both structure and porosity, considerable loss of nutrients through volatilisation, ash entrapment in smoke columns, leaching and erosion, and marked alteration of both quantity and specific composition of microbial and soil-dwelling invertebrate communities. However, despite common perceptions, if plants succeed in promptly recolonising the burnt area, the pre-fire level of most properties can be recovered and even enhanced. This work is a review of the up-to-date literature dealing with changes imposed by fires on properties of forest soils. Ecological implications of these changes are described.", "keywords": ["Nitrogen", "Phosphorus", "Fire", " Forest ecosystems", " Forest soils", " Soil ecology", " Soil properties.", "04 agricultural and veterinary sciences", "15. Life on land", "Invertebrates", "01 natural sciences", "Carbon", "Fires", "Trees", "Soil", "13. Climate action", "Animals", "0401 agriculture", " forestry", " and fisheries", "Hydrophobic and Hydrophilic Interactions", "Soil Microbiology", "0105 earth and related environmental sciences"], "contacts": [{"organization": "CERTINI, GIACOMO", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s00442-004-1788-8"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Oecologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00442-004-1788-8", "name": "item", "description": "10.1007/s00442-004-1788-8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00442-004-1788-8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-02-02T00:00:00Z"}}, {"id": "10.1016/j.agee.2011.07.004", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:53Z", "type": "Journal Article", "created": "2011-09-20", "title": "Soil-Profile Distribution Of Carbon And Associated Properties In No-Till Along A Precipitation Gradient In The Central Great Plains", "description": "Abstract   No-till (NT) farming is considered as a potential strategy for sequestering C in the soil. Data on soil-profile distribution of C and related soil properties are, however, limited, particularly for semiarid regions. We assessed soil C pool and soil structural properties such as aggregate stability and strength to 1\u00a0m soil depth across three long-term (\u226521\u00a0year) NT and conventional till (CT) experiments along a precipitation gradient in the central Great Plains of the USA. Tillage systems were in continuous winter wheat (Triticum aestivum L.) on a loam at Hutchinson and winter wheat\u2013sorghum [Sorghum bicolor (L.) Moench]-fallow on silt loams at Hays and Tribune, Kansas. Mean annual precipitation was 889\u00a0mm for Hutchinson, 580\u00a0mm for Hays, and 440\u00a0mm for Tribune. Changes in profile distribution of soil properties were affected by differences in precipitations input among the three sites. At Hutchinson, NT had 1.8 times greater SOC pool than CT in the 0\u20132.5-cm depth, but CT had 1.5 times greater SOC pool in the 5\u201320-cm. At Hays, NT had 1.4 times greater SOC pool than CT in the 0\u20132.5-cm depth. Differences in summed SOC pool for the whole soil profile (0\u20131\u00a0m depth) between NT and CT were not significant at any site. The summed SOC pool with depth between NT and CT were only significant above the 5\u00a0cm depth at Hutchinson and 2.5\u00a0cm depth at Hays. At Hutchinson, NT stored 3.4\u00a0Mg\u00a0ha\u22121 more SOC than CT above 5\u00a0cm depth. At Hays, NT stored 1.35\u00a0Mg\u00a0ha\u22121 more SOC than CT above 2.5\u00a0cm depth. Moreover, NT management increased mean weight diameter of aggregates (MWDA) by 3 to 4 times for the 0\u20135-cm depth at Hutchinson and by 1.8 times for the 0\u20132.5-cm depth at Hays. It also reduced air-dry aggregate tensile strength (TS) for the 0\u20135-cm depth at Hutchinson and Hays and for the 0\u20132.5-cm depth at Tribune. The TS (r\u00a0=\u00a0\u22120.73) and MWDA (r\u00a0=\u00a00.81) near the soil surface were more strongly correlated with SOC concentration at Hutchinson than at Hays and Tribune attributed to differences in precipitation input. Results suggested NT impacts on increasing SOC pool and improving soil structural properties decreased with a decrease in precipitation input. Changes in soil properties were larger at Hutchinson (880\u00a0mm of precipitation) than at Hays and Tribune (\u2264580\u00a0mm). While NT management did not increase SOC pool over CT for the whole soil profile, the greater near-surface accumulation of SOC in NT than in CT was critical to the improvement in soil structural properties. Overall, differences in precipitation input among soils appeared to be the dominant factor influencing NT impacts on soil-profile distribution of SOC and soil structural properties in this region.", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"], "contacts": [{"organization": "William F. Heer, Alan J. Schlegel, Humberto Blanco-Canqui,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2011.07.004"}, {"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.2011.07.004", "name": "item", "description": "10.1016/j.agee.2011.07.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2011.07.004"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-11-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2022.115915", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:57Z", "type": "Journal Article", "created": "2022-05-02", "title": "Mineral element recycling in topsoil following permafrost degradation and a vegetation shift in sub-Arctic tundra", "description": "Climate change affects the Arctic and sub-Arctic regions by exposing previously frozen permafrost to thaw, unlocking soil nutrients, changing hydrological processes, and boosting plant growth. As a result, sub-Arctic tundra is subject to a shrub expansion, called \u201cshrubification\u201d, at the expense of sedge species. Depending on the intrinsic foliar properties of these plant species, changes in foliar mineral element fluxes with shrubification in the context of permafrost degradation may influence topsoil mineral element composition. Despite the potential implications of changes in topsoil mineral element concentrations for the fate of organic carbon, this remains poorly quantified. Here, we investigate vegetation foliar and topsoil mineral element composition (Si, K, Ca, P, Mn, Zn, Cu, Mo, V) across a natural gradient of permafrost degradation at a typical sub-Arctic tundra at Eight Mile Lake (Alaska, USA). Results show that foliar mineral element concentrations are higher (up to 9 times; Si, K, Mo for all species, and for some species Zn) or lower (up to 2 times; Ca, P, Mn, Cu, V for all species, and for some species Zn) in sedge than in shrub species. As a result, a vegetation shift over ~40 years has resulted in lower topsoil concentrations in Si, K, Zn, and Mo (respectively of 52, 24, 20, and 51%) in highly degraded permafrost sites compared to poorly degraded permafrost sites due to lower foliar fluxes of these elements. For other elements (Ca, P, Mn, Cu, and V), the vegetation shift has not induced a marked change in topsoil concentrations at this current stage of permafrost degradation. A modeled amplified shrubification associated with a further permafrost degradation is expected to increase foliar Ca, P, Mn, Cu, and V fluxes, which will likely change these element concentrations in topsoil. These data can serve as a first estimate to assess the influence of other shifts in vegetation in Arctic and sub-Arctic tundra such as sedge expansion under wetter soil conditions.", "keywords": ["topsoil", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "mineral elements", "04 agricultural and veterinary sciences", "sub-Arctic tundra", "15. Life on land", "01 natural sciences", "vegetation change", "13. Climate action", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "0401 agriculture", " forestry", " and fisheries", "shrubification", "permafrost degradation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2022.115915"}, {"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.2022.115915", "name": "item", "description": "10.1016/j.geoderma.2022.115915", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2022.115915"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "10.1016/j.still.2008.10.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:43Z", "type": "Journal Article", "created": "2008-12-17", "title": "Assessment Of Tillage Erosion Rates On Steep Slopes In Northern Laos", "description": "Abstract   In the hills of south-east Asia shifting cultivation is developing towards more permanent cropping systems. In association with short fallow periods, fields suffer from weed pressure and this, in turn, leads to more frequent and deeper manual tillage. Due to steep slopes these operations induce tillage erosion. Measurements of such soil losses under on-farm conditions are still scarce. In this study tillage erosion was assessed and a predictive model of tillage erosion was established based on slope angle and contact cover, i.e. basal crop area and weed cover. The experiments were conducted in the Houay Pano, Northern Laos. The farmers cultivate annual crops in rotation with 1\u20133 year fallow periods without external inputs and using only hand tools. Tillage erosion was assessed using the tracer method across nine slope classes (0.30\u20131.10\u00a0m\u00a0m \u22121 ) for two crops, upland rice and Job's tears ( Coix lacryma-jobi  L.). Soil movement due to land preparation and weeding were assessed separately because different tools are used, a medium size hoe and a small curved hoe. A multivariate regression showed a highly significant relation ( R  2 \u00a0=\u00a00.83) between soil losses due to land preparation, slope gradient and contact cover. Predicting models of soil losses due to weeding were also highly significant ( R  2 \u00a0=\u00a00.79 for upland rice,  R  2 \u00a0=\u00a00.88 for Job's tears), confirming the importance of tillage erosion on steep slopes (4, 6 and 11\u00a0t\u00a0ha \u22121 \u00a0year \u22121  on slopes with gradients of 0.30, 0.60 and 0.90\u00a0m\u00a0m \u22121 , respectively). Tillage erosion has increased exponentially over the last 40 years because of weed invasion associated with short fallow periods; the initially no-till system has changed into a system heavily dependent on tillage to control weeds and this greatly contributes to soil degradation.", "keywords": ["subsistence farming", "2. Zero hunger", "weed control", "Upland rice", "sloping land", "04 agricultural and veterinary sciences", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "erosion", "shifting cultivation", "Weed pressure", "01 natural sciences", "630", "Tillage erosion", "Steep slopes", "upland rice", "Job's tears", "tillage", "Shifting cultivation", "0401 agriculture", " forestry", " and fisheries", "farming systems", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2008.10.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.still.2008.10.005", "name": "item", "description": "10.1016/j.still.2008.10.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2008.10.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-04-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2005.12.007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:44Z", "type": "Journal Article", "created": "2006-01-27", "title": "Litter Layer Residence Time In Forest And Coffee Agroforestry Systems In Sumberjaya, West Lampung", "description": "Forest conversion to coffee-based agroforestry leads to sudden disappearance of the litter layer and a decrease in the rate of litter fall, reducing food for ecosystem engineers such as earthworms. With time, however, a new litter layer is created potentially returning to forest-like conditions at the soil surface. This research quantified litter thickness, earthworm populations and soil macroporosity in response to land use change in the Sumberjaya benchmark area (West Lampung, Indonesia) by comparing: (a) remnant forest (control); (b) multistrata shaded coffee with fruit and timber trees, as well as nitrogen-fixing shade trees; (c) shaded coffee (nitrogen-fixing shade trees, but less than five tree species per plot); and (d) sun coffee (\u2018monoculture\u2019) with coffee forming more than 80% of total stem basal area. Plots were selected with tree ages of 7\u201010 years in three slope classes: (a) flat (0\u2010108); (b) medium (10\u2010308); and (c) steep (>308). The mean standing necromass was 6.1, 4.5, 3.8 and 3.0 Mg ha \ufffd 1 for forest, multistrata, shade coffee and sun coffee, respectively, without significant influences of slope. Fine, partly decomposed litter was 33\u201040% of total necromass, coarse leaf litter 14\u201016%, and twigs and branches comprised the remaining 43\u201052%. Soil organic carbon content (Corg) was highest in the forest. The largest annual litter input was found in the remnant forest (14 Mg ha \ufffd 1 year \ufffd 1 ), followed by multistrata, shaded and monoculture coffee systems, i.e., 9.8, 6.6 and 4.0 Mg ha \ufffd 1 year \ufffd 1 , respectively. The population density of earthworms in the forest was 50% lower than in multistrata coffee gardens (150 individuals m \ufffd 2 ), but its biomass (31 g m \ufffd 2 ) was twice that in the multistrata coffee gardens. The lowest population density of earthworms was found in the shade coffee system (150 individuals m \ufffd 2 ) with a biomass of 7 g m \ufffd 2 . A simple model suggests that the standing litter in the various land use systems is consistent with measured litter inputs and decay rates, but that the soil organic matter (SOM) content and macroporosity of the shade and multistrata systems are less than predicted. The recovery of a surface litter layer in sun coffee systems can provide protection from erosion with time, but will not be sufficient to restore macroporosity at the level of forest soils, leading to hydrologic alterations that favor overland flow. # 2006 Elsevier B.V. All rights reserved.", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2005.12.007"}, {"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.2005.12.007", "name": "item", "description": "10.1016/j.foreco.2005.12.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2005.12.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-03-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2012.04.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:31Z", "type": "Journal Article", "created": "2012-04-24", "title": "Biological Degradation Of Pyrogenic Organic Matter In Temperate Forest Soils", "description": "Abstract   Pyrogenic organic matter (PyOM), derived from the incomplete combustion of plant biomass and fossil fuels, has been considered one of the most stable pools of soil organic matter (SOM) and a potentially important terrestrial sink for atmospheric CO 2 . Recent evidence suggests that PyOM may degrade faster in soil than previously thought, and can affect native SOM turnover rates. We conducted a six-month laboratory incubation study to better understand the processes controlling the degradation of PyOM in soils using dual-enriched ( 13 C/ 15 N) PyOM and its precursor wood ( Pinus ponderosa ). We examined the effects of soil type and inorganic N addition on PyOM and wood C and N mineralization rates, microbial C utilization patterns, and native SOM turnover rates. PyOM charred at 450\u00a0\u00b0C or its precursor pine wood was incubated in two temperate forest subsoils with contrasting short range order (SRO) clay mineralogy (granite versus andesite parent material). Duplicates of experimental treatments with and without PyOM added were sterilized and abiotic C mineralization was quantified. In a second incubation, PyOM or wood was incubated in granitic soil with and without added NH 4 NO 3  (20\u00a0kg\u00a0N\u00a0ha \u22121 ). The fate of  13 C/ 15 N-enriched PyOM and wood was followed as soil-respired  13 CO 2  and total extractable inorganic  15 N. The uptake of  13 C from PyOM and wood by soil microbial community groups was quantified using  13 C-phospholipids fatty acids (PLFA). We found that (1) The mean residence time (MRT) of PyOM-C was on a centennial time scale (390\u2013600\u00a0yr) in both soil types; (2) PyOM-C mineralization was mainly biologically mediated; (3) Fungi more actively utilized wood-C than PyOM-C, which was utilized by all bacteria groups, especially gram (+) bacteria in the andesite (AN) soil; (4) PyOM-N mineralization was 2 times greater in granite (GR) than in AN soils; (5) PyOM additions did not affect native soil C or N mineralization rates, microbial biomass, or PLFA-defined microbial community composition in either soil; (6) The addition of N to GR soil had no effect on the MRT of C from PyOM, wood, or native SOM. The centennial scale MRT for PyOM-C was 32 times slower than that for the precursor pine wood-C or native soil C, which is faster than the MRT used in ecosystem models. Our results show that PyOM-C is readily utilized by all heterotrophic microbial groups, and PyOM-C and -N may be more dynamic in soils than previously thought.", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2012.04.005"}, {"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.2012.04.005", "name": "item", "description": "10.1016/j.soilbio.2012.04.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2012.04.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-08-01T00:00:00Z"}}, {"id": "10.1007/s11368-019-02388-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:40Z", "type": "Journal Article", "created": "2019-08-07", "title": "The effect of exogenous organic matter on the thermal properties of tilled soils in Poland and the Czech Republic", "description": "Organic matter improves soil fertility and water and thermal properties, but its content often decreases. This decrease may be mitigated by the addition of exogenous organic matter (EOM). The aim of this study was to assess the effect of EOMs, including compost from manure, slurry, and straw (Ag); industrial organic compost from sewage sludge (Ra); animal meal from animal by-products (Mb); and digestate from a biogas fry factory (Dg) on soil thermal conductivity, heat capacity, thermal diffusivity, water content, and bulk density in the top (0\u201315-cm) layer of two soils in Poland and the Czech Republic. Irrespective of EOM type, the total yearly nitrogen application rate being 200\u00a0kg N\u00a0ha\u22121 (100%) was from a given EOM at the rates 0, 50, 75, and 100% and the remaining parts from the mineral fertilizer. The study was conducted in 2013\u20132014 in Poland (Braszowice) and the Czech Republic (Puste Jakartice) on loam silt and clay silt loam, respectively, as part of a cross-border cooperation project. The soil properties were examined using classical descriptive statistics, semivariograms, and kriging-interpolated maps. Analysis of linear regressions (trends) showed that the EOM application rate influenced (positively or negatively) the soil properties in most measurement occasions. The variability of all soil properties was low and medium (coefficient of variation 7.3\u201334%). Geostatistical analysis indicated that the spatial dependence (C0/(C0\u2009+\u2009Cs)) of the soil properties on the EOM-amended plots was very strong or moderate. The maps revealed that the heterogeneity and degree of patch fragmentation were greater for thermal conductivity and heat capacity than for thermal diffusivity, water content, and bulk density. In general, all the soil properties were spatially more variable in the Braszowice than Puste Jakartice soil and in spring than autumn in both sites. The spatial analysis and maps enhance the comprehensive understanding of changes in soil thermal properties in response to EOM application. Suitability of the results from the field experiments in models predicting some thermal properties based on soil bulk density and water content in relation to EOM addition was indicated. Expressing the amount of EOMs added using the organic carbon content basis (% kg OC/kg of soil) instead of the nitrogen content basis allowed identifying areas on the kriging-interpolated maps where the distribution of soil thermal properties resembled that of soil organic carbon content, water content, and bulk density. Thus, the effect of EOMs on soil thermal properties is considered along with changes in soil water content and bulk density. The results will be helpful in forecasting effects of exogenous organic matter on the soil thermal properties affecting surface-energy partitioning, temperature distribution in soil, and plant growth.", "keywords": ["2. Zero hunger", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "recycled organic matter", "soil thermal properties", "13. Climate action", "kriging maps", "0401 agriculture", " forestry", " and fisheries", "Poland", "semivariograms", "Czech Republic", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s11368-019-02388-2.pdf"}, {"href": "https://doi.org/10.1007/s11368-019-02388-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Soils%20and%20Sediments", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11368-019-02388-2", "name": "item", "description": "10.1007/s11368-019-02388-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11368-019-02388-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-07T00:00:00Z"}}, {"id": "10.1007/s10646-009-0329-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:16Z", "type": "Journal Article", "created": "2009-06-06", "title": "Trace Elements And Activity Of Antioxidative Enzymes In Cistus Ladanifer L. Growing On An Abandoned Mine Area", "description": "The Mediterranean shrub Cistus ladanifer grows naturally in S\u00e3o Domingos (Portugal), an abandoned copper mine. High levels of trace elements in plants can generate oxidative stress increasing the activity of antioxidant enzymes. The aim of this work was to evaluate and compare As, Cu, Pb and Zn concentrations and the activity of the soluble and cell wall ionically bounded forms of the enzymes catalase, peroxidase and superoxide dismutase in leaves of C. ladanifer, collected in spring and summer, growing on S\u00e3o Domingos mine and on a non-contaminated area (Pomar\u00e3o). S\u00e3o Domingos soils showed high total concentrations of As (2.6 g kg(-1)) and Pb (7.3 g kg(-1)) however the available fraction represented less than 1.5% of the total. C. ladanifer population from mine showed tolerance to Pb and Zn, which attain in leaves concentrations considered toxic for plants. The enzymatic activity of catalase, peroxidise and superoxide dismutase varied with plant populations and seasons, although with no particular trend, being specific to each trace element and enzyme cell localization. Catalase activity was evenly distributed between the soluble and ionically bounded forms, whereas the ionically bounded form of peroxidase predominated relatively to total activity, and the opposite was observed for superoxide dismutase. Spring and summer leaves from the two areas presented enzymatic activities in both fractions except to peroxidase soluble activities in leaves collected in summer. C. ladanifer enzymatic activity seems to be related with the co-existence of different stress factors (trace elements concentration, temperature, UV radiation and drought). The survival and growth of this species on contaminated mining soils is due to the presence of effective antioxidant enzyme-based defence systems.", "keywords": ["0106 biological sciences", "trace elements", "Industrial Waste", "antioxidative enzymes", "Antioxidative enzymes", "01 natural sciences", "Mining", "Soil", "Cell Wall", "Soil Pollutants", "adaptative capacity", "0105 earth and related environmental sciences", "Trace elements", "Portugal", "Cistus", "Adaptative capacity", "15. Life on land", "Sulphide abandoned mine", "cistus ladanifer L.", "Trace Elements", "Plant Leaves", "Oxidative Stress", "sulphide abandoned mine", "Cistus ladanifer L.", "Oxidoreductases", "Copper"]}, "links": [{"href": "https://doi.org/10.1007/s10646-009-0329-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecotoxicology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10646-009-0329-y", "name": "item", "description": "10.1007/s10646-009-0329-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10646-009-0329-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-06-05T00:00:00Z"}}, {"id": "10.1016/j.gsf.2023.101566", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:59Z", "type": "Journal Article", "created": "2023-02-06", "title": "Cryosphere as a temporal sink and source of microplastics in the Arctic region", "description": "Microplastics (MPs) pollution has become a serious environmental issue of growing global concern due to the increasing plastic production and usage. Under climate warming, the cryosphere, defined as the part of Earth's layer characterized by the low temperatures and the presence of frozen water, has been experiencing significant changes. The Arctic cryosphere (e.g., sea ice, snow cover, Greenland ice sheet, permafrost) can store and release pollutants into environments, making Arctic an important temporal sink and source of MPs. Here, we summarized the distributions of MPs in Arctic snow, sea ice, seawater, rivers, and sediments, to illustrate their potential sources, transport pathways, storage and release, and possible effects in this sentinel region. Items concentrations of MPs in snow and ice varied about 1\u20136 orders of magnitude in different regions, which were mostly attributed to the different sampling and measurement methods, and potential sources of MPs. MPs concentrations from Arctic seawater, river/lake water, and sediments also fluctuated largely, ranging from several items of per unit to >40,000 items m\u22123, 100 items m\u22123, and 10,000 items kg\u22121 dw, respectively. Arctic land snow cover can be a temporal storage of MPs, with MPs deposition flux of about (4.9\u201314.26) \u00d7 108 items km\u22122 yr\u22121. MPs transported by rivers to Arctic ocean was estimated to be approximately 8\u201348 ton/yr, with discharge flux of MPs at about (1.65\u20139.35) \u00d7 108 items/s. Average storage of MPs in sea ice was estimated to be about 6.1\u00d71018 items, with annual release of about 5.1\u00d71018 items. Atmospheric transport of MPs from long-distance terrestrial sources contributed significantly to MPs deposition in Arctic land snow cover, sea ice and oceanic surface waters. Arctic Great Rivers can flow MPs into the Arctic Ocean. Sea ice can temporally store, transport and then release MPs in the surrounded environment. Ocean currents from the Atlantic brought high concentrations of MPs into the Arctic. However, there existed large uncertainties of ...", "keywords": ["550", "13. Climate action", "Environmental engineering", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://strathprints.strath.ac.uk/85248/1/Zhang_etal_GF_2023_Cryosphere_as_a_temporal_sink_and_source_of_microplastics.pdf"}, {"href": "https://doi.org/10.1016/j.gsf.2023.101566"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscience%20Frontiers", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gsf.2023.101566", "name": "item", "description": "10.1016/j.gsf.2023.101566", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gsf.2023.101566"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-01T00:00:00Z"}}, {"id": "10.1007/s10646-011-0619-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:16Z", "type": "Journal Article", "created": "2011-03-04", "title": "Investigations Of Responses To Metal Pollution In Land Snail Populations (Cantareus Aspersus And Cepaea Nemoralis) From A Smelter-Impacted Area", "description": "A cross-transplantation field experiment was performed to investigate about possible adaptation/acclimatization to metal pollution in common garden snail Cantareus aspersus (ex-Helix aspersa) and brown-lipped grove snail Cepaea nemoralis populations. Adults were collected from an area surrounding a former smelter (ME), highly polluted by trace metals (TMs) for decades, and from an unpolluted site (BE). Subadults of first generation (F1) were exposed in microcosms in a 28-day kinetic study. Four exposure sites were chosen around the smelter along a soil pollution gradient (vegetation and soil otherwise comparable). Bioaccumulation in snail soft tissues globally increased with soil contamination, with Cd, Pb and Zn concentrations reaching 271, 187, 5527\u00a0\u03bcg\u00a0g(-1), respectively. Accumulation kinetic patterns were similar between snail species but C. nemoralis showed greater TM levels than C. aspersus. Some inter-population differences were revealed in TM accumulation (bioaccumulation factors, accumulation kinetics) but did not suggest consistent adaptive responses. We did not detect negative effects of TM exposure on snail condition (body weight, shell size, shell weight). ME C. aspersus snails produced heavier shells than BE snails under exposure to TMs at the highest level, suggesting an adaptive response. The protocol used in this study, however, did not allow unambiguously distinguishing whether this response was due to genetic adaptation or to maternal effects. Abnormal but reversible shell development of adult ME C. nemoralis suggested physiological acclimatization. Differences in responses to TMs between populations are observed for conchological parameters, not for bioaccumulation, with different strategies according to the species (acclimatization or adaptation/maternal effects).", "keywords": ["550", "invertebrate", "Snails", "590", "0211 other engineering and technologies", "02 engineering and technology", "heavy metal", "Adaptation", " Physiological", "01 natural sciences", "Kinetics", "bioaccumulation", "Models", " Chemical", "Metals", "13. Climate action", "adaptive response", "Metallurgy", "Animals", "Body Size", "Soil Pollutants", "[SDE.ES]Environmental Sciences/Environment and Society", "Environmental Monitoring", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10646-011-0619-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecotoxicology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10646-011-0619-z", "name": "item", "description": "10.1007/s10646-011-0619-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10646-011-0619-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-03-03T00:00:00Z"}}, {"id": "10.1007/s11242-015-0572-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:35Z", "type": "Journal Article", "created": "2015-09-14", "title": "Visualization and Characterization of Heterogeneous Water Flow in Double-Porosity Media by Means of X-ray Computed Tomography", "description": "Three-dimensional visualization of dynamic water transport process in soil by 1 computed tomography (CT) technique is still limited by its low temporal resolution. In order 2 to monitor dynamically water transport in soil, a compromise has to be found between water 3 flow velocity and CT acquisition time. Furthermore, an efficient image analysis method is 1 4 necessary. In this work, we followed the water transport in three dimensions by CT imaging 5 across a double-porosity media constituted of two distinct materials, i.e. sand and porous 6 clay spheres. The CT acquisition parameters were adjusted to the water pore velocity so that 7 we succeeded to register the water front displacement per time range of 25 min. We also used 8 the image subtraction method to extract water distribution evolution with time with a space 9 resolution of 6 \u00d7 10 \u22123 cm. Both time and space resolution are relatively high compared with 10 other dynamic studies. The water content profiles showed that the clay spheres remained 11 in their dry state during water infiltration, while the water transport only occurred in the 12 sand matrix. These results are consistent with macroscopic experiments. The water front 13 visualized by CT showed a non-symmetrical shape which was related to water transfer in 14 non-equilibrium as shown by column displacement experiments.", "keywords": ["2. Zero hunger", "550", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0208 environmental biotechnology", "Porous media", "0207 environmental engineering", "02 engineering and technology", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "6. Clean water", "620", "Image analysis", "3D visualization", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Computed tomography", "Water transport"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s11242-015-0572-z"}, {"href": "https://doi.org/10.1007/s11242-015-0572-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Transport%20in%20Porous%20Media", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s11242-015-0572-z", "name": "item", "description": "10.1007/s11242-015-0572-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s11242-015-0572-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-09-14T00:00:00Z"}}, {"id": "10.1002/essoar.10503814.3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:14:29Z", "type": "Journal Article", "created": "2020-07-31", "title": "Extreme Precipitation Return Levels for Multiple Durations on a Global Scale", "description": "Quantifying the magnitude and frequency of extreme precipitation events is key in translating climate observations to planning and engineering design. Past efforts have mostly focused on the estima...", "keywords": ["MSWEP", "13. Climate action", "Generalized extreme value distribution", "Peaks-over-threshold", "Precipitation extremes", "Generalized extreme value distribution; Global domain; Metastatistical extreme value distribution; MSWEP; Peaks-over-threshold; Precipitation extremes", "910", "15. Life on land", "01 natural sciences", "Global domain", "Metastatistical extreme value distribution", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.research.unipd.it/bitstream/11577/3546209/3/Grundemann%20et%20al_JoH_2023.pdf"}, {"href": "https://doi.org/10.1002/essoar.10503814.3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Hydrology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/essoar.10503814.3", "name": "item", "description": "10.1002/essoar.10503814.3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/essoar.10503814.3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-31T00:00:00Z"}}, {"id": "10.1002/hyp.6971", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:14:30Z", "type": "Journal Article", "created": "2008-02-27", "title": "Investigation Of Runoff Generation In A Pristine, Poorly Gauged Catchment In The Chilean Andes I: A Multi-Method Experimental Study", "description": "Abstract<p>Catchment scale hydrological process studies in southern Chile are of special interest as little research at this scale has been carried out in this region. In particular, the young volcanic ash soils, which are typical for this area, are not well understood in their hydrological behaviour. In addition, extensive land use changes require detailed knowledge of hydrological processes in disturbed as well as undisturbed catchments in order to estimate resulting risks of erosion, eutrophication, floods and droughts. This study focuses on data collection and experimental determination of relevant processes in an undisturbed forested catchment in the Andes of southern Chile. The here gained understanding of runoff generation can serve as a reference for comparison with sites subject to human intervention, improving estimation of the effects of land use change. Owing to the lack of long\uffe2\uff80\uff90term data for this catchment it was necessary to replace long time series by a multitude of experimental methods covering as many aspects of the runoff generation process as possible. The methods used in this investigation include: measurements of streamflow, rainfall, throughfall, water chemistry, soil water dynamics, groundwater dynamics, soil physics, soil mineralogy, geo\uffe2\uff80\uff90electrical sounding, and tracer techniques. Methods and equipment used during field campaigns are described and evaluated for usefulness versus expenditure (labour and financial costs). Selected results and the hypotheses developed from these findings are presented. The results suggest the importance of fast processes for rainfall runoff response on the one hand as well as considerable dampening effects of a large subsurface storage on the other hand. Copyright \uffc2\uffa9 2008 John Wiley &amp; Sons, Ltd.</p>", "keywords": ["13. Climate action", "0208 environmental biotechnology", "0207 environmental engineering", "550 - Earth sciences", "02 engineering and technology", "15. Life on land", "6. 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