{"type": "FeatureCollection", "features": [{"id": "10.1016/j.apsoil.2007.12.010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:27Z", "type": "Journal Article", "created": "2008-02-08", "title": "Deepened Snow Alters Soil Microbial Nutrient Limitations In Arctic Birch Hummock Tundra", "description": "Abstract   Microbial activity in the long arctic cold season is low but cumulatively important. In particular, the size of the microbial biomass and soil solution nutrient pool at the end of winter may control the quantity of nutrients available to plants in the following spring. Microbial starvation and lysis as a result of increasingly severe soluble carbon (C) shortages over winter has been hypothesized as a potential mechanism for microbial nutrient release at thaw. These C shortages may be exacerbated by the warmer temperatures and increased winter precipitation that are consistently predicted for a large part of the low Arctic. In particular, warmer soil temperatures due to deeper snow may increase wintertime microbial activity and organic matter decomposition over the winter, potentially resulting in enhanced nutrient availability to plants in the following growing season.  In this study, we investigated nutrient limitations to soil microbial growth and activity in late winter under ambient and experimentally deepened snow (\u223c0.3 and 1\u00a0m respectively) in birch hummock tundra within the Canadian low Arctic. We hypothesized that the build-up of moderately deeper snow over winter would exacerbate soluble C-limitation to microbial growth and activity and increase soluble N accumulation, and thus stimulate the growth of bacteria relative to fungi. We measured the  in situ  response of the soil microbial biomass and soil soluble pools in control and snow-fenced plots at the end of winter, and then incubated soils from these plots with added C, nitrogen (N) and phosphorus (P) (at 0\u201315\u00a0\u00b0C) to characterize nutrient limitations to microbial growth and activity.  In late winter, deepened snow increased the microbial pool of N, yet decreased soil pools of dissolved organic N and C, and decreased bacterial counts. Fungal mass and hyphal lengths did not change, but remained dominant under both ambient and deepened snow. Deepened snow exacerbated the soluble C-limitation to microbial growth and reduced the P-limitation for microbial respiration. Fungal mass and hyphal length responses to nutrient addition were larger than the bacterial mass or abundance responses and fungi from under deepened snow responded more than those from under ambient snow, indicating a different potential structural and physiological response to substrate availability for these two soil microbial communities. Our results indicate that deeper snow may increase microbial nutrient pools and can alter the physiological functioning of the soil microbial community in late winter, suggesting that microbial N release and its availability to plants during spring thaw may be enhanced.", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.1016/j.apsoil.2007.12.010"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20Soil%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.apsoil.2007.12.010", "name": "item", "description": "10.1016/j.apsoil.2007.12.010", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.apsoil.2007.12.010"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-06-01T00:00:00Z"}}, {"id": "10.1016/j.ecoleng.2016.06.124", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:45Z", "type": "Journal Article", "created": "2016-07-26", "title": "Effects of grazing exclusion on carbon sequestration and plant diversity in grasslands of China A meta-analysis", "description": "Abstract   Widespread land degradation has strengthened the urgent need to restore overgrazing grasslands. China has implemented the program \u2018Returning Grazing Land to Grassland\u2019 (RGLG) through grazing exclusion by fence since 2003. Despite a lot of field experiments, there is still controversy on the effects of grazing exclusion on rangeland restoration, highlighting the need for synthetic analysis. We conducted a meta-analysis of 447 entries from 78 papers to analyze the spatiotemporal effects of grazing exclusion on plant diversity, productivity and soil carbon sequestration in the major RGLG-implemented provinces of China. Our results showed that, compared with the grazed sites, grazing exclusion significantly increased carbon stored in aboveground biomass, litter mass, belowground biomass and soils by 84.7%, 111.6%, 25.5% and 14.4%, respectively. Plant coverage, soil available nitrogen, soil available phosphorus and soil microbial biomass carbon increased by 52.0%, 21.7% 22.8% and 26.3%, respectively. However, grazing exclusion had little effects on recovering plant diversity in China\u2019s grasslands. Of the factors examined, climatic factors strongly modified the effects of grazing exclusion on ecosystem carbon stocks, for example, precipitation significantly amplified the positive effects. Grazing exclusion played a positive role in soil carbon sequestration in most grassland types except in temperate desert-steppe. But annual soil carbon sequestration rates decayed rapidly over time in both alpine meadow and temperate steppe. Short-term (\u22645\u00a0years) grazing exclusion remarkably increased species richness, but not significantly in the long run. The threshold from neutral to negative effects of grazing exclusion on species evenness occurs after approximately ten years. Our findings provide evidence that grazing exclusion is an effective way to restore vegetation and sequestrate carbon in degraded grasslands, but not beneficial to plant diversity maintenance. The benefits of grazing exclusion are more effective in humid area than arid area. We suggest that grazing exclusion should be ceased after about six to ten years. Additionally, grazing exclusion should integrate with other appropriate management practices instead of operating on a stand-alone basis.", "keywords": ["2. Zero hunger", "0106 biological sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.ecoleng.2016.06.124"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecological%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.ecoleng.2016.06.124", "name": "item", "description": "10.1016/j.ecoleng.2016.06.124", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.ecoleng.2016.06.124"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-01T00:00:00Z"}}, {"id": "10.1016/j.epsl.2017.04.002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:15:58Z", "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.2003.11.014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:03Z", "type": "Journal Article", "created": "2004-03-06", "title": "Wildfires In Nw Patagonia: Long-Term Effects On A Nothofagus Forest Soil", "description": "In NW Patagonia, Argentina, poor regeneration after fires of Nothofagus pumilio (Poepp. and Endl.) Krasser forests located in drier environments has been attributed to probable edaphic changes. We studied the long-term effects of wildfire on the mineralogical, physical, chemical and biological properties of a soil developed from volcanic-ashes under N. pumilio forests. Soils from six small patches burned in January 1996 and of undisturbed forest were sampled at a depth of 0-10 cm in March 1996,1997, 1998 and 2000. As biological soil indicators we assessed N in microbial biomass (N-MB) and potential N mineralization (pNmin). Chemical properties were analyzed for all 4 years in dry samples, N-BM and pNmin in rewetted samples in 1996 and 1997, and in field-moist samples in 1998 (pNmin) and 2000 (N-MB). Additionally, we measured soil moisture twice during the growing seasons of 1998 and 2000 at 0-16 cm, and mineralogical and physical properties once in 1998. The main effects of fire were: (i) a significant increase in pH, electrical conductivity, extractable P and cations (Ca, Mg, Na, K) and a significant decrease in organic C and total N; 4 years after the fire, C and N were still, respectively, 52 and 20% lower, pH was one unit higher, and electrical conductivity and extractable P were twice as high as in the unburned control; (ii) a considerable decrease in N-MB (>90%), without significant recovery in subsequent years; (iii) an increase of pNmin at the beginning of the incubation period, decreasing afterwards to only 4-44% the levels in the unburned soil; and (iv) a decrease of 31% in field capacity and 56% in soil moisture. No mineralogical changes in the amorphous soil components were observed. Although volcanic soils show a high capacity to stabilize organic matter, buffer pH, retain P and store water, the magnitude of the changes of all soil properties indicated that the intensity of the fire was very high, and might have a powerful effect on seedling emergence and survival. (C) 2003 Published by Elsevier B.V. (Less)", "keywords": ["0106 biological sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences"], "contacts": [{"organization": "Estela Raffaele, Mar\u00eda Julia Mazzarino, Luc\u00eda Roselli, Mar\u0131\u0301a Victoria Alauzis,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2003.11.014"}, {"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.2003.11.014", "name": "item", "description": "10.1016/j.foreco.2003.11.014", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2003.11.014"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-05-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2007.05.004", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:05Z", "type": "Journal Article", "created": "2007-06-27", "title": "Exploring The Effect Of Changes In Land Use On Soil Quality On The Eastern Slope Of The Cofre De Perote Volcano (Mexico)", "description": "Abstract   Changes in land use on the eastern slope of the Cofre de Perote Volcano (Mexico) appear to have a negative effect on soil quality. In this study, we use a multivariate data set to research whether the change in land use has affected soil quality and to identify the indicators that best represent variability of the original data set. An elevation transect was identified as follows: upper segment (US), middle segment (MS) and lower segment (LS). The following nondisturbed areas and farm fields were sampled: US: pinus forest (PF), corn cropland (CP), and abandoned cropland (AC); MS: tropical cloud forest (TF), corn cropland (CC), and grassland (GL); LS: oak forest (OF) and sugarcane (SG). Sixteen soil chemical, physical, and biological attributes were measured on each site of interest. It was shown that the change in land use caused a reduction in organic material content, especially on MS and LS. The highest acidity was recorded in nondisturbed soils and abandoned cropland. Microbial biomass-C (Cm) and the microbial quotient (Cm/C) were altered the most on MS and LS. Cm and mineralized N (Nm) decreased from US to LS. Bulk density (BD) increased with the change in land use, especially on LS. Principal component analysis was used to analyze soil quality overall. The first principal component (PC1) explained 46% of the total variance of the data set, and seven soil attributes had significant loadings. C, N, and total porosity (TP) were negatively weighted and were contrasted with Mg, ECEC, BD, and Cm/C. The second principal component (PC2) explained 16% and had significant positive loadings on Ca, inorganic nitrogen (Ni), and Cm. LS soils had the highest PC1 scores and US soils the lowest. The positively high PC1 scores recorded for LS soils revealed a greater sensitivity to changes in land use. In US, there were no significant effects on PC1 caused by land use change, while in the MS, positively high PC1 scores obtained in the CC soil were related to greater microbial activity and a decrease in C and N. In LS, SG soil had significantly higher PC1 scores than OF soil, indicating an increase in microbial activity.", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2007.05.004"}, {"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.2007.05.004", "name": "item", "description": "10.1016/j.foreco.2007.05.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2007.05.004"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-09-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2008.06.017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:07Z", "type": "Journal Article", "created": "2008-07-24", "title": "Modelling Soil Organic Carbon Turnover In Improved Fallows In Eastern Zambia Using The Rothc-26.3 Model", "description": "Abstract   Scarcity of simple and reliable methods of estimating soil organic carbon (SOC) turnover and lack of data from long-term experiments make it difficult to estimate attainable soil C sequestration in tropical improved fallows. Testing and validating existing and widely used SOC models would help to determine attainable C storage in fallows. The Rothamsted C (RothC) model, therefore, was tested using empirical data from improved fallows at Msekera in eastern Zambia. This study (i) determined the effects of nitrogen fixing tree (NFT) species on aboveground organic C inputs to the soil and SOC stocks, (ii) estimated annual net organic C inputs to the soil using the RothC, and (iii) tested the performance of RothC model using empirical data from improved fallows. Soil samples (0\u201320\u00a0cm) were collected from coppicing and non-coppicing fallow experiments in October 2002 for determination of SOC by LECO CHN-1000 analyser. Data on surface litter, maize and weed biomasses, and on weather, were supplied by the Zambia/ICRAF Agroforestry Project. Measured SOC stocks to 20\u00a0cm depth ranged from 32.2 to 37.8\u00a0t\u00a0ha\u22121 in coppicing fallows and 29.5 to 30.1\u00a0t\u00a0ha\u22121 in non-coppicing fallows compared to 22.2\u201326.2\u00a0t\u00a0ha\u22121 in maize monoculture systems. Coppicing fallows accumulated more SOC (680\u20131150\u00a0g\u00a0m\u22122\u00a0year\u22121) than non-coppicing fallows (410\u2013789\u00a0g\u00a0m\u22122\u00a0year\u22121). While treatments with NFTs accumulated more SOC than NFT-free systems, SOC stocks increased with increasing tree biomass production and tree rotation. For food security and C sequestration, coppicing fallows are a potentially viable option.  The RothC-26.3 model calculates the effect of annual above- and below-ground plant residue inputs to the soil on total organic C, microbial biomass, and radiocarbon age of the soil over a period ranging from a few years to centuries. As plant residue inputs from roots during plant growth are rarely known, the model is most often run in \u2018inverse\u2019 mode to generate total annual plant residue inputs from known soil, site, and weather data. The model, run in reverse, estimated the annual net organic C inputs required to maintain SOC stocks. Estimates ranged from 2.8 to 6.1\u00a0t\u00a0ha\u22121 in coppicing fallows, 2.2\u20135.7\u00a0t\u00a0ha\u22121 in non-coppicing fallows, and from 1.4 to 2.7\u00a0t\u00a0ha\u22121 in controls. Modelled inputs comprising above- and below-ground organic residues in fallows were 12\u2013104% greater than measured above-ground inputs alone. The model provided a good fit to empirical SOC data in fertilized maize monoculture, and in coppicing and non-coppicing fallows. Modelled inputs for Leucaena, Gliricidia, Senna, Sesbania, and Cajanus closely matched plant C input values estimated in separate studies, suggesting that RothC is giving reasonable simulations of soil C changes under improved fallow conditions in Zambia. However, the DPM/RPM ratio for plant C inputs in fallows was increased from 0.25 to 1.10 to suit their biodegradability characteristics. The RothC model can be used to calculate annual organic C inputs and SOC stocks in improved fallows provided suitable DPM:RPM ratios are used.", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2008.06.017"}, {"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.2008.06.017", "name": "item", "description": "10.1016/j.foreco.2008.06.017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2008.06.017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-08-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2019.114061", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:18Z", "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/10.1016/j.geoderma.2019.114061"}, {"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.2019.114061", "name": "item", "description": "10.1016/j.geoderma.2019.114061", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2019.114061"}, {"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": "10.1016/j.scitotenv.2016.02.203", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:41Z", "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": "10.1016/j.soilbio.2017.09.018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:16:57Z", "type": "Journal Article", "created": "2017-09-22", "title": "Effect of fertilization on soil microorganisms in paddy rice systems - A meta-analysis", "description": "Abstract   Soil microorganisms are considered a sensitive indicator of soil health and quality. In cropping systems, soil microorganisms are strongly affected by crop management, including the application of fertilizers. While studies in natural ecosystems have generally found that increased nitrogen (N) inputs decrease microbial biomass, microorganisms in soils under upland crops often benefit from mineral fertilizer input. Paddy rice soils, being flooded for part of the season, are dominated by different carbon (C) and N cycle processes and microbial communities than soils under upland crops. The objective of this study was to explore the effect of fertilizer on soil microorganisms in paddy rice systems in a meta-analysis of the peer-reviewed literature. Across all studies (n\u00a0=\u00a055), the addition of mineral fertilizer significantly increased microbial biomass carbon content (MBC) by 26% in paddy rice soils. Mineral fertilizer applications also increased soil organic carbon content (SOC) by 13%. The higher crop productivity with fertilization likely led to higher organic C inputs, which in turn increased SOC and MBC contents. The time of sampling within a season (pre-plant rice, in-season rice, post-harvest rice, or post-harvest rotational crop) did not significantly affect the response of MBC to mineral fertilizer. The positive effect of mineral fertilizer on MBC content did not differ between cropping systems with continuous rice and systems where paddy rice was grown in rotation with other crops. However, compared with upland cropping systems, the increase in the microbial biomass due to mineral fertilizer application is more pronounced in rice cropping systems, even when rice is grown in rotation with an upland crop. Differences in climate and soil oxygen availability likely explain the stronger response of soil microorganisms to mineral fertilizer input in paddy rice systems. Our analysis suggests that fertilization does not consistently select for specific microbial groups (e.g. gram positive or negative bacteria, fungi, actinomycetes) in paddy rice systems; however, it affects microbial community composition through changes in soil properties. How specific groups of microorganisms respond to mineral fertilization likely depends on environmental factors. Overall, our results suggest that in paddy rice systems the application of inorganic fertilizers increases SOC and MBC contents, both of which are important indicators of soil health.", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"], "contacts": [{"organization": "Bruce A. Linquist, Patricia Lazicki, Daniel Geisseler,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2017.09.018"}, {"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.2017.09.018", "name": "item", "description": "10.1016/j.soilbio.2017.09.018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2017.09.018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.still.2007.02.006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:02Z", "type": "Journal Article", "created": "2007-03-29", "title": "Nitrogen Fertilization And Cropping Systems Effects On Soil Organic Carbon And Total Nitrogen Pools Under Chisel-Plow Tillage In Illinois", "description": "Abstract   Agricultural soils can be a major sink for atmospheric carbon (C) with adoption of recommended management practices (RMPs). Our objectives were to evaluate the effects of nitrogen (N) fertilization and cropping systems on soil organic carbon (SOC) and total N (TN) concentrations and pools. Replicated soil samples were collected in May 2004 to 90\u00a0cm depth from a 23-year-old experiment at the Northwestern Illinois Agricultural Research and Demonstration Center, Monmouth, IL. The SOC and TN concentrations and pools, soil bulk density ( \u03c1  b ) and soil C:N ratio were measured for five N rates [0 (N 0 ), 70 (N 1 ), 140 (N 2 ), 210 (N 3 ) and 280 (N 4 ) kg\u00a0N\u00a0ha \u22121 ] and two cropping systems [continuous corn ( Zea mays  L.) (CC), and corn\u2013soybean ( Glycine max  (L . ) Merr.) rotation (CS)]. Long-term N fertilization and cropping systems significantly influenced SOC concentrations and pools to 30\u00a0cm depth. The SOC pool in 0\u201330\u00a0cm depth ranged from 68.4\u00a0Mg\u00a0ha \u22121  for N 0  to 75.8\u00a0Mg\u00a0ha \u22121  for N 4 . Across all N treatments, the SOC pool in 0\u201330\u00a0cm depth for CC was 4.7\u00a0Mg\u00a0ha \u22121  greater than for CS. Similarly, TN concentrations and pools were also significantly affected by N rates. The TN pool for 0\u201330\u00a0cm depth ranged from 5.36\u00a0Mg\u00a0ha \u22121  for N 0  to 6.14\u00a0Mg\u00a0ha \u22121  for N 4 . In relation to cropping systems, the TN pool for 0\u201320\u00a0cm depth for CC was 0.4\u00a0Mg\u00a0ha \u22121  greater than for CS. The increase in SOC and TN pools with higher N rates is attributed to the increased amount of biomass production in CC and CS systems. Increasing N rates significantly decreased  \u03c1  b  for 0\u201330\u00a0cm and decreased the soil C:N ratio for 0\u201310\u00a0cm soil depth. However, none of the measured soil properties were significantly correlated with N rates and cropping systems below 30\u00a0cm soil depth. We conclude that in the context of developing productive and environmentally sustainable agricultural systems on a site and soil specific basis, the results from this study is helpful to strengthening the database of management effects on SOC storage in the Mollisols of Midwestern U.S.", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.still.2007.02.006"}, {"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.2007.02.006", "name": "item", "description": "10.1016/j.still.2007.02.006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.still.2007.02.006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-09-01T00:00:00Z"}}, {"id": "10.1023/a:1004298309606", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:22Z", "type": "Journal Article", "created": "2002-12-21", "description": "Fluxes of nitrous oxide, methane and carbon dioxide were measured from soils under ambient (350 \u00b5L L-1) and enhanced (600 \u00b5L L-1) carbon dioxide partial pressures (pCO2) at the \u2018Free Air Carbon Dioxide Enrichment\u2019 (FACE) experiment, Eidgenossische Technische Hochschule (ETH), Eschikon, Switzerland in July 1995, using a GC housed in a mobile laboratory. Measurements were made in plots of Lolium perenne maintained under high N input. During the data collection period N fertiliser was applied at a rate of 14 g m-2 of N. Elevated pCO2 appeared to result in an increased (27%) output of N2O, thought to be the consequence of enhanced root-derived available soil C, acting as an energy source for denitrification. The climate, agricultural practices and soils at the FACE experiment combined to give rise to some of the largest N2O emissions recorded for any terrestrial ecosystem. The amount of CO2\u2013C being lost from the control plot was higher (10%) than for the enhanced CO2 plot, and is the reverse of that predicted. The control plot oxidised consistently more CH4 than the enhanced plot, oxidising 25.5 \u00b1 0.8 \u00b5g m-2 hr-1 of CH4 for the control plot, with an average of 8.5 \u00b1 0.4 \u00b5g m-2 hr-1 of CH4 for the enhanced CO2 plot. This suggests that elevated pCO2 may lead to a feedback whereby less CH4 is removed from the atmosphere. Despite the limited nature of the current study (in time and space), the observations made here on the interactions of elevated pCO2 and soil trace gas release suggest that significant interactions are occurring. The feedbacks involved could have importance at the global scale.", "keywords": ["13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land"], "contacts": [{"organization": "Philip Ineson, P.A. Coward, U.A. Hartwig,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1023/a:1004298309606"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Plant%20and%20Soil", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1023/a:1004298309606", "name": "item", "description": "10.1023/a:1004298309606", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1023/a:1004298309606"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1998-01-01T00:00:00Z"}}, {"id": "10.1038/srep06365", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:17:44Z", "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": "10.1093/jpe/rtv027", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:18Z", "type": "Journal Article", "created": "2015-03-07", "title": "Effects Of Precipitation On Soil Organic Carbon Fractions In Three Subtropical Forests In Southern China", "description": "Aims The aim of this study was to investigate the effects of precipitation changes on soil organic carbon (SOC) fractions in subtropical for- ests where the precipitation pattern has been altered for decades. Methods We conducted field manipulations of precipitation, including ambient precipitation as a control (CK), double precipitation (DP) and no precip- itation (NP), for 3 years in three forests with different stand ages (broad- leaf forest (BF), mixed forest (MF) and pine forest (PF)) in subtropical China. At the end of the experiment, soil samples were collected to assay SOC content, readily oxidizable organic carbon (ROC) and non-readily oxidizable organic carbon (NROC), as well as soil microbial biomass carbon (MBC), pH and total nitrogen content. Samples from the forest floors were also collected to analyze carbon (C) functional groups (i.e. alkyl C, aromatic C, O-alkyl C and carbonyl C). Furthermore, fine root biomass was measured periodically throughout the experiment. Important Findings Among the forests, ROC content did not exhibit any notable differ- ences, while NROC content increased significantly with the stand age. This finding implied that the SOC accumulation observed in these forests resulted from the accumulation of NROC in the soil, a mechanism for SOC accumulation in the mature forests of south- ern China. Moreover, NP treatment led to significant reductions in both ROC and NROC content and therefore reduced the total SOC content in all of the studied forests. Such decreases may be due to the lower plant-derived C inputs (C quantity) and to the changes in SOC components (C quality) indicated by C functional groups analyses under NP treatment. DP treatment in all the forests also tended to decrease the SOC content, although the decreases were not statistically significant with the exception of SOC and ROC con- tent in PF. This finding indicated that soils in MF and in BF may be more resistant to precipitation increases, possibly due to less water limitations under natural conditions in the two forests. Our results therefore highlight the different responses of SOC and its fractions to precipitation changes among the forests and suggest that further studies are needed to improve our understanding of SOC dynamics in such an important C sink region.", "keywords": ["13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land"], "contacts": [{"organization": "Guowei Chu, Guoyi Zhou, Xiaomei Chen, Qingyan Qiu, Guohua Liang, Shizhong Liu, Junhua Yan, Juxiu Liu, Deqiang Zhang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1093/jpe/rtv027"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Plant%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/jpe/rtv027", "name": "item", "description": "10.1093/jpe/rtv027", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/jpe/rtv027"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-03-06T00:00:00Z"}}, {"id": "10.1099/acmi.ac2020.po0460", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:24Z", "type": "Journal Article", "created": "2020-07-14", "title": "Identification of isoprene-degrading bacteria in phyllosphere and soil communities from high isoprene-emitting oil palm trees by DNA-stable isotope probing", "description": "<p>Isoprene is the most abundant biogenic volatile organic compound (BVOC) on Earth, with annual global emissions almost equal to those from methane. Due to its volatile nature and high reactivity, isoprene plays a complex role in atmospheric chemistry and hence, climate. However, very little is known about its biological degradation in the environment. The vast majority of isoprene (500 Tg \uffc2\uffb7y-1) is produced by terrestrial plants and oil palm is considered one of the highest isoprene-producing trees, with estimated emissions of 175 \uffce\uffbcg\uffc2\uffb7g-1 dry leaves \uffc2\uffb7h-1. Oil palm is also a heavily cultivated crop since it is the source of 30% of the vegetable oil in the world and in countries such as Malaysia represents &gt;85% of total agricultural land. The vast expansion of a single crop that emits such high amounts of isoprene have raised serious concerns about its impact on air quality and climate change. We performed DNA Stable Isotope Probing (DNA-SIP) to study the isoprene-degrading community of oil palm trees in a Malaysian plantation and identified novel genera of isoprene-utilising bacteria in both oil palm soils and leaves. isoA amplicon sequencing data also confirmed that oil palm trees harbour a novel diversity of isoA genes, which encode the alpha subunit of the isoprene monooxygenase, a key enzyme in isoprene metabolism. In addition, metagenome assembled genomes (MAGs) were reconstructed from metagenomes from oil palm soil and leaf incubations and analysed to identify isoprene degradation gene clusters in these microorganisms. Finally, analysis of unenriched metagenomes showed that isoA-containing bacteria are more abundant in soils than in the oil palm phyllosphere.</p>", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1099/acmi.ac2020.po0460"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Access%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1099/acmi.ac2020.po0460", "name": "item", "description": "10.1099/acmi.ac2020.po0460", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1099/acmi.ac2020.po0460"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-01T00:00:00Z"}}, {"id": "10.1098/rstb.2011.0313", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:23Z", "type": "Journal Article", "created": "2012-03-26", "title": "The Role Of N2o Derived From Crop-Based Biofuels, And From Agriculture In General, In Earth'S Climate", "description": "<p>             In earlier work, we compared the amount of newly fixed nitrogen (N, as synthetic fertilizer and biologically fixed N) entering agricultural systems globally to the total emission of nitrous oxide (N             2             O). We obtained an N             2             O emission factor (EF) of 3\uffe2\uff80\uff935%, and applied it to biofuel production. For \uffe2\uff80\uff98first-generation\uffe2\uff80\uff99 biofuels, e.g. biodiesel from rapeseed and bioethanol from corn (maize), that require N fertilizer, N             2             O from biofuel production could cause (depending on N uptake efficiency) as much or more global warming as that avoided by replacement of fossil fuel by the biofuel. Our subsequent calculations in a follow-up paper, using published life cycle analysis (LCA) models, led to broadly similar conclusions. The N             2             O EF applies to agricultural crops in general, not just to biofuel crops, and has made possible a top-down estimate of global emissions from agriculture. Independent modelling by another group using bottom-up IPCC inventory methodology has shown good agreement at the global scale with our top-down estimate. Work by Davidson showed that the rate of accumulation of N             2             O in the atmosphere in the late nineteenth and twentieth centuries was greater than that predicted from agricultural inputs limited to fertilizer N and biologically fixed N (Davidson, E. A. 2009             Nat. Geosci             .             2             , 659\uffe2\uff80\uff93662.). However, by also including soil organic N mineralized following land-use change and NO                            x                          deposited from the atmosphere in our estimates of the reactive N entering the agricultural cycle, we have now obtained a good fit between the observed atmospheric N             2             O concentrations from 1860 to 2000 and those calculated on the basis of a 4 per cent EF for the reactive N.           </p>", "keywords": ["2. Zero hunger", "Air Pollutants", "330", "Climate", "Nitrous Oxide", "Agriculture", "15. Life on land", "Nitrification", "01 natural sciences", "7. Clean energy", "630", "Soil", "13. Climate action", "Biofuels", "Denitrification", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1098/rstb.2011.0313"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Philosophical%20Transactions%20of%20the%20Royal%20Society%20B%3A%20Biological%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1098/rstb.2011.0313", "name": "item", "description": "10.1098/rstb.2011.0313", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1098/rstb.2011.0313"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-05-05T00:00:00Z"}}, {"id": "10.1111/gcb.12819", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:37Z", "type": "Journal Article", "created": "2014-12-05", "title": "Soil Warming And Co2 Enrichment Induce Biomass Shifts In Alpine Tree Line Vegetation", "description": "Abstract<p>Responses of alpine tree line ecosystems to increasing atmospheric CO2 concentrations and global warming are poorly understood. We used an experiment at the Swiss tree line to investigate changes in vegetation biomass after 9\uffc2\uffa0years of free air CO2 enrichment (+200\uffc2\uffa0ppm; 2001\uffe2\uff80\uff932009) and 6\uffc2\uffa0years of soil warming (+4\uffc2\uffa0\uffc2\uffb0C; 2007\uffe2\uff80\uff932012). The study contained two key tree line species, Larix decidua and Pinus uncinata, both approximately 40\uffc2\uffa0years old, growing in heath vegetation dominated by dwarf shrubs. In 2012, we harvested and measured biomass of all trees (including root systems), above\uffe2\uff80\uff90ground understorey vegetation and fine roots. Overall, soil warming had clearer effects on plant biomass than CO2 enrichment, and there were no interactive effects between treatments. Total plant biomass increased in warmed plots containing Pinus but not in those with Larix. This response was driven by changes in tree mass (+50%), which contributed an average of 84% (5.7\uffc2\uffa0kg\uffc2\uffa0m\uffe2\uff88\uff922) of total plant mass. Pinus coarse root mass was especially enhanced by warming (+100%), yielding an increased root mass fraction. Elevated CO2 led to an increased relative growth rate of Larix stem basal area but no change in the final biomass of either tree species. Total understorey above\uffe2\uff80\uff90ground mass was not altered by soil warming or elevated CO2. However, Vaccinium myrtillus mass increased with both treatments, graminoid mass declined with warming, and forb and nonvascular plant (moss and lichen) mass decreased with both treatments. Fine roots showed a substantial reduction under soil warming (\uffe2\uff88\uff9240% for all roots &lt;2\uffc2\uffa0mm in diameter at 0\uffe2\uff80\uff9320\uffc2\uffa0cm soil depth) but no change with CO2 enrichment. Our findings suggest that enhanced overall productivity and shifts in biomass allocation will occur at the tree line, particularly with global warming. However, individual species and functional groups will respond differently to these environmental changes, with consequences for ecosystem structure and functioning.</p>", "keywords": ["0106 biological sciences", "2. Zero hunger", "Models", " Statistical", "Temperature", "Larix", "Carbon Dioxide", "15. Life on land", "Pinus", "Global Warming", "01 natural sciences", "Soil", "Species Specificity", "13. Climate action", "Biomass", "Tundra", "Switzerland"]}, "links": [{"href": "https://doi.org/10.1111/gcb.12819"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.12819", "name": "item", "description": "10.1111/gcb.12819", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.12819"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-01-30T00:00:00Z"}}, {"id": "10.1111/gcb.70130", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:18:40Z", "type": "Journal Article", "created": "2025-03-18", "title": "What Are the Limits to the Growth of Boreal Fires?", "description": "ABSTRACT<p>Boreal forest regions, including East Siberia, have experienced elevated fire activity in recent years, leading to record\uffe2\uff80\uff90breaking greenhouse gas emissions and severe air pollution. However, our understanding of the factors that eventually halt fire spread and thus limit fire growth remains incomplete, hindering our ability to model their dynamics and predict their impacts. We investigated the locations and timing of 2.2 million fire stops\uffe2\uff80\uff94defined as 300\uffe2\uff80\uff89m unburned pixels along fire perimeters\uffe2\uff80\uff94across the vast East Siberian taiga. Fire stops were retrieved from remote sensing data covering over 27,000 individual fires that collectively burned 80 Mha between 2012 and 2022. Several geospatial datasets, including hourly fire weather data and landscape variables, were used to identify the factors contributing to individual fire stops. Our analysis attributed 87% of all fire stops to a statistically significant (p\uffe2\uff80\uff89&lt;\uffe2\uff80\uff890.01) change in one or more of these drivers, with fire\uffe2\uff80\uff90weather drivers limiting fire growth over time and landscape drivers constraining it across space. We found clear regional and temporal variations in the importance of these drivers. For instance, landscape drivers\uffe2\uff80\uff94such as less flammable land cover and the presence of roads\uffe2\uff80\uff94were key constraints on fire growth in southeastern Siberia, where the landscape is more populated and fragmented. In contrast, fire weather was the primary constraint on fire growth in the remote northern taiga. Additionally, in central Yakutia, a major fire hotspot in recent years, fuel limitations from previous fires increasingly restricted fire spread. The methodology we present is adaptable to other biomes and can be applied globally, providing a framework for future attribution studies on global fire growth limitations. In northeast Siberia, we found that with increasing droughts and heatwaves, remote northern fires could potentially grow even larger in the future, with major implications for the global carbon cycle and climate.</p", "keywords": ["Siberia", "Climate Change", "Taiga", "Remote Sensing Technology", "Life Science", "Weather", "Fires", "Research Article", "Wildfires"], "contacts": [{"organization": "Thomas A. J. Janssen, Sander Veraverbeke,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1111/gcb.70130"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.70130", "name": "item", "description": "10.1111/gcb.70130", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.70130"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-01T00:00:00Z"}}, {"id": "10.1111/j.1365-2486.2006.01131.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:45Z", "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": "2026-05-25T16:18:41Z", "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.1365-2435.2007.01247.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:44Z", "type": "Journal Article", "created": "2007-02-19", "title": "Drought Changes Phosphorus And Potassium Accumulation Patterns In An Evergreen Mediterranean Forest", "description": "Summary<p>  <p>Climate models predict more extreme weather in Mediterranean ecosystems, with more frequent drought periods and torrential rainfall. These expected changes may affect major process in ecosystems such as mineral cycling. However, there is a lack of experimental data regarding the effects of prolonged drought on nutrient cycling and content in Mediterranean ecosystems.</p> <p>A 6\uffe2\uff80\uff90year drought manipulation experiment was conducted in a Quercus ilex Mediterranean forest. The aim was to investigate the effects of drought conditions expected to occur over the coming decades, on the contents and concentrations of phosphorus (P) and potassium (K) in stand biomass, and P and K content and availability in soils.</p> <p>Drought (an average reduction of 15% in soil moisture) increased P leaf concentration by 18\uffc2\uffb72% and reduced P wood and root concentrations (30\uffc2\uffb79% and 39\uffc2\uffb78%, respectively) in the dominant tree species Quercus ilex, suggesting a process of mobilization of P from wood towards leaves. The decrease in P wood concentrations in Quercus ilex, together with a decrease in forest biomass growth, led to an overall decrease (by approximately one\uffe2\uff80\uff90third) of the total P content in above\uffe2\uff80\uff90ground biomass. In control plots, the total P content in the above\uffe2\uff80\uff90ground biomass increased 54\uffc2\uffa0kg\uffc2\uffa0ha\uffe2\uff88\uff921 from 1999 to 2005, whereas in drought plots there was no increase in P levels in above\uffe2\uff80\uff90ground biomass. Drought had no effects on either K above\uffe2\uff80\uff90ground contents or concentrations.</p> <p>Drought increased total soil soluble P by increasing soil soluble organic P, which is the soil soluble P not directly available to plant capture. Drought reduced the ratio of soil soluble inorganic P\uffc2\uffa0:\uffc2\uffa0soil soluble organic P by 50% showing a decrease of inorganic P release from P bound to organic matter. Drought increased by 10% the total K content in the soil, but reduced the soil soluble K by 20\uffc2\uffb74%.</p> <p>Drought led to diminished plant uptake of mineral nutrients and to greater recalcitrance of minerals in soil. This will lead to a reduction in P and K in the ecosystem, due to losses in P and K through leaching and erosion, if the heavy rainfalls predicted by IPCC (Intergovernmental Panel on Climate Change) models occur. As P is currently a limiting factor in many Mediterranean terrestrial ecosystems, and given that P and K are necessary for high water\uffe2\uff80\uff90use efficiency and stomata control, the negative effects of drought on P and K content in the ecosystem may well have additional indirect negative effects on plant fitness.</p>  </p>", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-2435.2007.01247.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Functional%20Ecology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2435.2007.01247.x", "name": "item", "description": "10.1111/j.1365-2435.2007.01247.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2435.2007.01247.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-02-19T00:00:00Z"}}, {"id": "10.1111/j.1365-2486.2009.02121.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:18:48Z", "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": "10.1111/sum.12198", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:04Z", "type": "Journal Article", "created": "2015-07-31", "title": "Long-Term Effects Of Tillage, Nutrient Application And Crop Rotation On Soil Organic Matter Quality Assessed By Nmr Spectroscopy", "description": "Abstract<p>Crop and land management practices affect both the quality and quantity of soil organic matter (SOM) and hence are driving forces for soil organic carbon (SOC) sequestration. The objective of this study was to assess the long\uffe2\uff80\uff90term effects of tillage, fertilizer application and crop rotation onSOCin an agricultural area of southern Norway, where a soil fertility and crop rotation experiment was initiated in 1953 and a second experiment on tillage practices was initiated in 1983. The first experiment comprised 6\uffe2\uff80\uff90yr crop rotations with cereals only and 2\uffe2\uff80\uff90yr cereal and 4\uffe2\uff80\uff90yr grass rotations with recommended (base) and more than the recommended (above base) fertilizer application rates; the second experiment dealt with autumn\uffe2\uff80\uff90ploughed (conventional\uffe2\uff80\uff90till) plots and direct\uffe2\uff80\uff90drilled plots (no\uffe2\uff80\uff90till). Soil samples at 0\uffe2\uff80\uff9310 and 10\uffe2\uff80\uff9330\uffc2\uffa0cm depths were collected in autumn 2009 and analysed for their C and N contents. The quality ofSOMin the top layer was determined by13C solid\uffe2\uff80\uff90stateNMRspectroscopy. TheSOCstock did not differ significantly because of rotation or fertilizer application types, even after 56\uffc2\uffa0yr. However, the no\uffe2\uff80\uff90till system showed a significantly higherSOCstock than the conventional\uffe2\uff80\uff90till system at the 0\uffe2\uff80\uff9310\uffc2\uffa0cm depth after the 26\uffc2\uffa0yr of experiment, but it was not significantly different at the 10\uffe2\uff80\uff9330\uffc2\uffa0cm depth. In terms of quality,SOMwas found to differ by tillage type, rate of fertilizer application and crop rotation. The no\uffe2\uff80\uff90till system showed an abundance of O\uffe2\uff80\uff90alkyl C, while conventional\uffe2\uff80\uff90till system indicated an apparently indirect enrichment in alkyl C, suggesting a more advanced stage ofSOMdecomposition. The long\uffe2\uff80\uff90term quantitative and qualitative effects onSOMsuggest that adopting a no\uffe2\uff80\uff90tillage system and including grass in crop rotation and farmyard manure in fertilizer application may contribute to preserve soil fertility and mitigate climate change.</p>", "keywords": ["Fertilizer application", "2. Zero hunger", "Crop rotation", " fertilizer application", " soil organic carbon (SOC)", " soil organic matter (SOM)", " tillage", " NMR spectroscopy.", "NMR spectroscopy", "Crop rotation", "Soil organic matter (SOM)", "13. Climate action", "Soil organic carbon (SOC)", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Tillage"]}, "links": [{"href": "https://doi.org/10.1111/sum.12198"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Use%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/sum.12198", "name": "item", "description": "10.1111/sum.12198", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/sum.12198"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-07-31T00:00:00Z"}}, {"id": "10.1128/aem.02264-23", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:08Z", "type": "Journal Article", "created": "2024-02-19", "title": "Novel endolithic bacteria of phylum             Chloroflexota             reveal a myriad of potential survival strategies in the Antarctic desert", "description": "ABSTRACT                                     <p>               The ice-free McMurdo Dry Valleys of Antarctica are dominated by nutrient-poor mineral soil and rocky outcrops. The principal habitat for microorganisms is within rocks (endolithic). In this environment, microorganisms are provided with protection against sub-zero temperatures, rapid thermal fluctuations, extreme dryness, and ultraviolet and solar radiation. Endolithic communities include lichen, algae, fungi, and a diverse array of bacteria.               Chloroflexota               is among the most abundant bacterial phyla present in these communities. Among the               Chloroflexota               are four novel classes of bacteria, here named               Candidatus               Spiritibacteria class. nov. (=UBA5177),               Candidatus               Martimicrobia class. nov. (=UBA4733),               Candidatus               Tarhunnaeia class. nov. (=UBA6077), and               Candidatus               Uliximicrobia class. nov. (=UBA2235). We retrieved 17 high-quality metagenome-assembled genomes (MAGs) that represent these four classes. Based on genome predictions, all these bacteria are inferred to be aerobic heterotrophs that encode enzymes for the catabolism of diverse sugars. These and other organic substrates are likely derived from lichen, algae, and fungi, as metabolites (including photosynthate), cell wall components, and extracellular matrix components. The majority of MAGs encode the capacity for trace gas oxidation using high-affinity uptake hydrogenases, which could provide energy and metabolic water required for survival and persistence. Furthermore, some MAGs encode the capacity to couple the energy generated from H               2               and CO oxidation to support carbon fixation (atmospheric chemosynthesis). All encode mechanisms for the detoxification and efflux of heavy metals. Certain MAGs encode features that indicate possible interactions with other organisms, such as Tc-type toxin complexes, hemolysins, and macroglobulins.             </p>                            IMPORTANCE               <p>                 The ice-free McMurdo Dry Valleys of Antarctica are the coldest and most hyperarid desert on Earth. It is, therefore, the closest analog to the surface of the planet Mars. Bacteria and other microorganisms survive by inhabiting airspaces within rocks (endolithic). We identify four novel classes of phylum                 Chloroflexota                 , and, based on interrogation of 17 metagenome-assembled genomes, we predict specific metabolic and physiological adaptations that facilitate the survival of these bacteria in this harsh environment\uffe2\uff80\uff94including oxidation of trace gases and the utilization of nutrients (including sugars) derived from lichen, algae, and fungi. We propose that such adaptations allow these endolithic bacteria to eke out an existence in this cold and extremely dry habitat.               </p>", "keywords": ["570", "Bacteria", "Fungi", "Antarctic Regions", "Chloroflexi", "15. Life on land", "Survival strategies", "Cold Temperature", "Extremophiles", "13. Climate action", "Antarctica", "Endolithic communities", "Metagenomics", "14. Life underwater", "Sugars", "Settore BIO/19 - MICROBIOLOGIA GENERALE"]}, "links": [{"href": "https://doi.org/10.1128/aem.02264-23"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Applied%20and%20Environmental%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1128/aem.02264-23", "name": "item", "description": "10.1128/aem.02264-23", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1128/aem.02264-23"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-19T00:00:00Z"}}, {"id": "10.1139/x04-063", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:11Z", "type": "Journal Article", "created": "2004-10-08", "title": "Loss And Recovery Of Ecosystem Carbon Pools Following Stand-Replacing Wildfire In Michigan Jack Pine Forests", "description": "<p> We used a 72-year chronosequence to study the loss and recovery of ecosystem C pools following stand-replacing wildfire in Michigan, USA, jack pine (Pinus banksiana Lamb.) forests. We quantified the amount of C stored in aboveground plant biomass, standing dead timber, downed dead wood, surface organic soil, and mineral soil in 11 jack pine stands that had burned between 1 and 72 years previously. Total ecosystem C ranged from a low of 59 Mg C\uffc2\uffb7ha&#150;1 in the 4-year-old stand to 110 Mg C\uffc2\uffb7ha&#150;1 in the 72-year-old stand. Changes in total ecosystem C across the chronosequence conformed to theoretical predictions, in which C stocks declined initially as decomposition of dead wood and forest-floor C exceeded production by regenerating vegetation, and then increased asymptotically with the development of a new stand of jack pine. This pattern was well described by the following 'gamma' function: total ecosystem C (Mg\uffc2\uffb7ha&#150;1) = 112.2 &#150; 39.6 \uffc3\uff97 age0.351 \uffc3\uff97 exp(&#150;0.053 \uffc3\uff97 age01.039); mean-corrected R2 = 0.976. Using the first derivative of this parameterized gamma function, we estimated that jack pine stands function as a weak source of C to the atmosphere for only ca. 6 years following wildfire, and reach a maximum net ecosystem productivity of 1.6 Mg C\uffc2\uffb7ha&#150;1\uffc2\uffb7year&#150;1 by year 16. We attribute the rapid transition from carbon source to carbon sink in these ecosystems to two factors: (i) stand-replacing wildfires in these xeric forests leave behind little respirable substrate in surface organic horizons, and (ii) jack pine is able to rapidly reestablish following wildfires via serotinous cones. Jack pine stands remained net sinks for C across the chronosequence; however, net ecosystem productivity had declined to 0.12 C ha&#150;1\uffc2\uffb7year&#150;1 by year 72. Carbon sequestration by mature jack pine ecosystems was driven primarily by continued growth of overstory jack pine, not by accumulation of detrital C. </p>", "keywords": ["0106 biological sciences", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.1139/x04-063"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Canadian%20Journal%20of%20Forest%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1139/x04-063", "name": "item", "description": "10.1139/x04-063", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1139/x04-063"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-09-01T00:00:00Z"}}, {"id": "10.18174/509232", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:50Z", "type": "Report", "created": "2020-03-16", "title": "Novel soil quality indicators for the evaluation of agricultural management practices: a biological perspective", "description": "Developments in soil biology and methods to characterize soil organic carbon have the potential to deliver novel soil quality indicators that can help to identify soil management practices that sustain soil productivity and environmental resilience. This thesis aimed at investigating the suitability of a range of soil biological and biochemical parameters as novel soil quality indicators for agricultural management. The soil parameters, selected through a literature review, comprised different labile organic carbon fractions (hydrophilic dissolved organic carbon (Hy-DOC), dissolved organic carbon (DOC), permanganate oxidizable carbon (POXC), hot water extractable carbon (HWEC) and particulate organic matter carbon (POMC), ordered here from the smallest to the largest proportion of the total organic carbon), soil disease suppressiveness measured with a Pythium-Cress bioassay, nematode communities characterized with amplicon sequencing and qPCR, and microbial community level physiological profiling (CLPP) measured with MicroRespTM. We tested the sensitivity of the novel indicators to tillage and organic matter addition in 10 European long-term field experiments, and assessed their relationship with already existing soil quality indicators linked to soil functioning. Lastly, the results of these experimental chapters are interpreted relative to each other and to the broader body of literature on soil quality assessments. Moreover, pros and cons of the novel indicators are discussed, and possibilities and needs for future research are outlined. Reduced tillage increased carbon availability, disease suppressiveness, nematode richness and diversity, the stability and maturity of the food web, and microbial activity and functional diversity. Organic matter addition had a weaker role in sustaining soil quality, possibly due to the different compositions of the organic matter inputs in the long-term field experiments that were sampled. Random forest analysis showed that POXC was the indicator that discriminates soil management most, and structural equation modelling showed its central role in nutrient cycling, carbon sequestration, biodiversity conservation, erosion control and disease regulation/suppression. The novel indicators proposed here have great potential to improve existing soil quality assessment schemes, but their usefulness is still to be validated and optimized.", "keywords": ["2. Zero hunger", "13. Climate action", "Life Science", "15. Life on land"], "contacts": [{"organization": "Bongiorno, Giulia", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.18174/509232"}, {"rel": "self", "type": "application/geo+json", "title": "10.18174/509232", "name": "item", "description": "10.18174/509232", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.18174/509232"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-16T00:00:00Z"}}, {"id": "10.2111/08-106.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:19:57Z", "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": "10.2136/sssaj2007.0248", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:17Z", "type": "Journal Article", "created": "2008-05-30", "title": "Long-Term Effects Of Harvesting Maize Stover And Tillage On Soil Quality", "description": "<p>Rising concerns about greenhouse gases, increased fuel prices, and the potential for new high value agricultural products have raised interest in the use of maize stover for bioenergy production. However, residue harvest must be weighed against potential negative impacts on soil quality. This study, conducted in Chazy, NY, evaluated the long\uffe2\uff80\uff90term effects of 32 yr of maize (Zea maysL.) stover harvest vs. stover return on soil quality in the surface layer (5\uffe2\uff80\uff9366 mm) under plow till (PT) and no\uffe2\uff80\uff90till (NT) systems on a Raynham silt loam (coarse\uffe2\uff80\uff90silty, mixed, active, nonacid, mesic Aeric Epiaquept) using physical, chemical, and biological soil properties as soil quality indicators. Twenty\uffe2\uff80\uff90five soil properties were measured, including standard chemical soil tests, aggregate stability (WSA), bulk density, (\uffcf\uff81b) penetration resistance (PR), saturated hydraulic conductivity (Ks), infiltrability (Infilt), several porosity indicators (aeration pores(PO &gt; 1000), soil water potential = \uffce\uffa8 &gt; \uffe2\uff88\uff920.36 kPa; air\uffe2\uff80\uff90filled pores at field capacity (PO &gt; 30), \uffce\uffa8 &gt; \uffe2\uff88\uff9210kPa; available water capacity (AWC), \uffe2\uff88\uff921500 &lt; \uffce\uffa8 &lt; \uffe2\uff88\uff9210 kPa), total organic matter (OM), parasitic (Nemparasitic) and beneficial nematode (Nembeneficial) populations, decomposition rate (Decomp), potentially mineralizable N (PMN) and easily extractable (EEG) and total glomalin (TG). Only eight indicators were adversely affected by stover harvest, and most of these effects were significant only under NT. Almost all indicators affected by stover removal were affected equally or more adversely by tillage. A total of 15 indicators were adversely affected by tillage. Results of this study suggest that, on a silt loam soil in a temperate climate, long\uffe2\uff80\uff90term stover harvest had lower adverse impacts on soil quality than long\uffe2\uff80\uff90term tillage. Stover harvest appears to be sustainable when practiced under NT management.</p>", "keywords": ["2. Zero hunger", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.2136/sssaj2007.0248"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Science%20Society%20of%20America%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2136/sssaj2007.0248", "name": "item", "description": "10.2136/sssaj2007.0248", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2136/sssaj2007.0248"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-07-01T00:00:00Z"}}, {"id": "10.3389/fmicb.2016.01446", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:41Z", "type": "Journal Article", "created": "2016-09-14", "description": "Soil management is fundamental to all agricultural systems and fertilization practices have contributed substantially to the impressive increases in food production. Despite the pivotal role of soil microorganisms in agro-ecosystems, we still have a limited understanding of the complex response of the soil microbiota to organic and mineral fertilization in the very long-term. Here, we report the effects of different fertilization regimes (mineral, organic and combined mineral and organic fertilization), carried out for more than a century, on the structure and activity of the soil microbiome. Organic matter content, nutrient concentrations, and microbial biomass carbon were significantly increased by mineral, and even more strongly by organic fertilization. Pyrosequencing revealed significant differences between the structures of bacterial and fungal soil communities associated to each fertilization regime. Organic fertilization increased bacterial diversity, and stimulated microbial groups (Firmicutes, Proteobacteria, and Zygomycota) that are known to prefer nutrient-rich environments, and that are involved in the degradation of complex organic compounds. In contrast, soils not receiving manure harbored distinct microbial communities enriched in oligotrophic organisms adapted to nutrient-limited environments, as Acidobacteria. The fertilization regime also affected the relative abundances of plant beneficial and detrimental microbial taxa, which may influence productivity and stability of the agroecosystem. As expected, the activity of microbial exoenzymes involved in carbon, nitrogen, and phosphorous mineralization were enhanced by both types of fertilization. However, in contrast to comparable studies, the highest chitinase and phosphatase activities were observed in the solely mineral fertilized soil. Interestingly, these two enzymes showed also a particular high biomass-specific activities and a strong negative relation with soil pH. As many soil parameters are known to change slowly, the particularity of unchanged fertilization treatments since 1902 allows a profound assessment of linkages between management and abiotic as well as biotic soil parameters. Our study revealed that pH and TOC were the majors, while nitrogen and phosphorous pools were minors, drivers for structure and activity of the soil microbial community. Due to the long-term treatments studied, our findings likely represent permanent and stable, rather than transient, responses of soil microbial communities to fertilization.", "keywords": ["Soil nutrients", "0301 basic medicine", "2. Zero hunger", "0303 health sciences", "long-term fertilization", "microbial biomass", "15. Life on land", "microbial activity", "Microbiology", "QR1-502", "03 medical and health sciences", "13. Climate action", "soil microbial communities", "soil nutrients", "454 pyrosequencing"]}, "links": [{"href": "https://doi.org/10.3389/fmicb.2016.01446"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Microbiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fmicb.2016.01446", "name": "item", "description": "10.3389/fmicb.2016.01446", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fmicb.2016.01446"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-14T00:00:00Z"}}, {"id": "10.3389/fpls.2019.00191", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:43Z", "type": "Journal Article", "created": "2019-02-22", "title": "Interannual and Seasonal Dynamics of Volatile Organic Compound Fluxes From the Boreal Forest Floor", "description": "In the northern hemisphere, boreal forests are a major source of biogenic volatile organic compounds (BVOCs), which drive atmospheric processes and lead to cloud formation and changes in the Earth's radiation budget. Although forest vegetation is known to be a significant source of BVOCs, the role of soil and the forest floor, and especially interannual variations in fluxes, remains largely unknown due to a lack of long-term measurements. Our aim was to determine the interannual, seasonal and diurnal dynamics of boreal forest floor volatile organic compound (VOC) fluxes and to estimate how much they contribute to ecosystem VOC fluxes. We present here an 8-year data set of forest floor VOC fluxes, measured with three automated chambers connected to the quadrupole proton transfer reaction mass spectrometer (quadrupole PTR-MS). The exceptionally long data set shows that forest floor fluxes were dominated by monoterpenes and methanol, with relatively comparable emission rates between the years. Weekly mean monoterpene fluxes from the forest floor were highest in spring and in autumn (maximum 59 and 86 \u03bcg m-2 h-1, respectively), whereas the oxygenated VOC fluxes such as methanol had highest weekly mean fluxes in spring and summer (maximum 24 and 79 \u03bcg m-2 h-1, respectively). Although the chamber locations differed from each other in emission rates, the inter-annual dynamics were very similar and systematic. Accounting for this chamber location dependent variability, temperature and relative humidity, a mixed effects linear model was able to explain 79-88% of monoterpene, methanol, acetone, and acetaldehyde fluxes from the boreal forest floor. The boreal forest floor was a significant contributor in the forest stand fluxes, but its importance varies between seasons, being most important in autumn. The forest floor emitted 2-93% of monoterpene fluxes in spring and autumn and 1-72% of methanol fluxes in spring and early summer. The forest floor covered only a few percent of the forest stand fluxes in summer.", "keywords": ["VOC EMISSIONS", "Plant Science", "ATMOSPHERIC OH", "01 natural sciences", "forest floor", "SB1-1110", "MONOTERPENE EMISSIONS", "vegetation", "biogenic volatile organic compound", "11. Sustainability", "SCOTS PINE", "EXCHANGE", "0105 earth and related environmental sciences", "decomposition", "CLIMATE-CHANGE", "seasonality", "temperature", "Plant culture", "Forestry", "15. Life on land", "SOIL", "MODEL", "Environmental sciences", "flux", "13. Climate action", "PTR-TOF", "METHANOL"]}, "links": [{"href": "https://doi.org/10.3389/fpls.2019.00191"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2019.00191", "name": "item", "description": "10.3389/fpls.2019.00191", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2019.00191"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-22T00:00:00Z"}}, {"id": "10.3390/agronomy11040652", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:47Z", "type": "Journal Article", "created": "2021-03-29", "title": "Wheat Yield Forecasting for the Tisza River Catchment Using Landsat 8 NDVI and SAVI Time Series and Reported Crop Statistics", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Due to the increasing global demand of food grain, early and reliable information on crop production is important in decision making in agricultural production. Remote sensing (RS)-based forecast models developed from vegetation indices have the potential to give quantitative and timely information on crops for larger regions or even at farm scale. Different vegetation indices are being used for this purpose, however, their efficiency in estimating crop yield certainly needs to be tested. In this study, wheat yield was derived by linear regressing reported yield values against a time series of six different peak-seasons (2013\u20132018) using the Landsat 8-derived Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI). NDVI- and SAVI-based forecasting models were validated based on 2018\u20132019 datasets and compared to evaluate the most appropriate index that performs better in forecasting wheat production in the Tisza river basin. Nash-Sutcliffe efficiency index was positive with E1 = 0.716 for the model from NDVI and for SAVI E1 = 0.909, which means that the forecasting method developed and performed good forecast efficiency. The best time for wheat yield prediction with Landsat 8-SAVI and NDVI was found to be the beginning of full biomass period from the 138th to 167th day of the year (18 May to 16 June; BBCH scale: 41\u201371) with high regression coefficients between the vegetation indices and the wheat yield. The RMSE of the NDVI-based prediction model was 0.357 t/ha (NRMSE: 7.33%). The RMSE of the SAVI-based prediction model was 0.191 t/ha (NRMSE 3.86%). The validation of the results revealed that the SAVI-based model provided more accurate forecasts compared to NDVI. Overall, probable yield amount is possible to predict far before harvest (six weeks earlier) based on Landsat 8 NDVI and SAVI and generating simple thresholds for yield forecasting, and a potential loss of wheat yield can be mapped.</p></article>", "keywords": ["Landsat 8", "2. Zero hunger", "SAVI", "NDVI", "S", "13. Climate action", "wheat", "yield forecasting", "Agriculture", "15. Life on land", "6. Clean water"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/4/652/pdf"}, {"href": "https://www.mdpi.com/2073-4395/11/4/652/pdf"}, {"href": "https://doi.org/10.3390/agronomy11040652"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11040652", "name": "item", "description": "10.3390/agronomy11040652", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11040652"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-29T00:00:00Z"}}, {"id": "10.3390/ma14092302", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:20:56Z", "type": "Journal Article", "created": "2021-04-29", "title": "2D Dynamic Directional Amplification (DDA) in Phononic Metamaterials", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Phononic structures with unit cells exhibiting Bragg scattering and local resonance present unique wave propagation properties at wavelengths well below the regime corresponding to bandgap generation based on spatial periodicity. However, both mechanisms show certain constraints in designing systems with wide bandgaps in the low-frequency range. To face the main practical challenges encountered in such cases, including heavy oscillating masses, a simple dynamic directional amplification (DDA) mechanism is proposed as the base of the phononic lattice. This amplifier is designed to present the same mass and use the same damping element as a reference two-dimensional (2D) phononic metamaterial. Thus, no increase in the structure mass or the viscous damping is needed. The proposed DDA can be realized by imposing kinematic constraints to the structure\u2019s degrees of freedom (DoF), improving inertia and damping on the desired direction of motion. Analysis of the 2D lattice via Bloch\u2019s theory is performed, and the corresponding dispersion relations are derived. The numerical results of an indicative case study show significant improvements and advantages over a conventional phononic structure, such as broader bandgaps and increased damping ratio. Finally, a conceptual design indicates the usage of the concept in potential applications, such as mechanical filters, sound and vibration isolators, and acoustic waveguides.</p></article>", "keywords": ["phononic", "metamaterials", "damping", "13. Climate action", "0103 physical sciences", "02 engineering and technology", "0210 nano-technology", "7. Clean energy", "01 natural sciences", "dynamic directional amplifier", "Article"]}, "links": [{"href": "http://www.mdpi.com/1996-1944/14/9/2302/pdf"}, {"href": "https://www.mdpi.com/1996-1944/14/9/2302/pdf"}, {"href": "https://doi.org/10.3390/ma14092302"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/ma14092302", "name": "item", "description": "10.3390/ma14092302", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/ma14092302"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-29T00:00:00Z"}}, {"id": "10.4081/ija.2012.e26", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:15Z", "type": "Journal Article", "created": "2012-05-31", "description": "Interest in biochar (BC) has grown dramatically in recent years, due mainly to the fact that its incorporation into soil reportedly enhances carbon sequestration and fertility. Currently, BC types most under investigation are those obtained from organic matter (OM) of plant origin. As great amounts of manure solids are expected to become available in the near future, thanks to the development of technologies for the separation of the solid fraction of animal effluents, processing of manure solids for BC production seems an interesting possibility for the recycling of OM of high nutrient value. The aim of this study was to investigate carbon (C) sequestration and nutrient dynamics in soil amended with BC from dried swine manure solids. The experiment was carried out in laboratory microcosms on a silty clay soil. The effect on nutrient dynamics of interaction between BC and fresh digestate obtained from a biogas plant was also investigated to test the hypothesis that BC can retain nutrients. A comparison was made of the following treatments: soil amended with swine manure solids (LC), soil amended with charred swine manure solids (LT), soil amended with wood chip (CC), soil amended with charred wood chip (CT), soil with no amendment as control (Cs), each one of them with and without incorporation of digestate (D) for a total of 10 treatments. Biochar was obtained by treating OM (wood chip or swine manure) with moisture content of less than 10% at 420\u00b0C in anoxic conditions. The CO2-C release and organic C, available phosphorus (P) (Olsen P, POls) and inorganic (ammonium+nitrate) nitrogen (N) (Nmin) contents at the start and three months after the start of the experiment were measured in the amended and control soils. After three months of incubation at 30\u00b0C, the CO2-C emissions from soil with BC (CT and LT, \u00b1D) were the same as those in the control soil (Cs) and were lower than those in the soils with untreated amendments (CC and LC, \u00b1D). The organic C content decreased in CT and LT to a lesser extent than in CC and LC. In soils with D (+D), the CO2-C emissions were equal to or higher than those in soils without (-D). The Nmin content increased in all treatments; the POls content decreased in the +D treatments. The incorporation of BC into soil, by reducing CO2 emissions, actually contributes to C sequestration without modifying N availability for crops. For a given N content, the BC from swine manure solids supplies much more P than the non-treated OM and, therefore, represents an interesting source of P for crops.", "keywords": ["2. Zero hunger", "S", "emissions", "Plant culture", "Agriculture", "04 agricultural and veterinary sciences", "nitrogen", "6. Clean water", "SB1-1110", "13. Climate action", "manure", "0401 agriculture", " forestry", " and fisheries", "biochar", "phosphorus"]}, "links": [{"href": "https://doi.org/10.4081/ija.2012.e26"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Italian%20Journal%20of%20Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.4081/ija.2012.e26", "name": "item", "description": "10.4081/ija.2012.e26", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.4081/ija.2012.e26"}, {"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": "10.5061/dryad.1v87f", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:22Z", "type": "Dataset", "title": "Data from: Post-fire changes in forest carbon storage over a 300-year chronosequence of Pinus contorta-dominated forests", "description": "unspecifiedA warming climate may increase the frequency and severity of  stand-replacing wildfires, reducing carbon (C) storage in forest  ecosystems. Understanding the variability of post-fire C cycling on  heterogeneous landscapes is critical for predicting changes in C storage  with more frequent disturbance. We measured C pools and fluxes for 77  lodgepole pine (Pinus contorta Dougl. ex Loud var. latifolia Engelm.)  stands in and around Yellowstone National Park (YNP) along a 300-year  chronosequence to examine how quickly forest C pools recover after a  stand-replacing fire, their variability through time across a complex  landscape, and the role of stand structure in this variability. Carbon  accumulation after fire was rapid relative to the historical mean fire  interval of 150-300 years, recovering nearly 80% of pre-fire C in 50 years  and 90% within 100 years. Net ecosystem carbon balance (NECB) declined  monotonically from 160 g C m-2 yr-1 at age 12 to 5 g C m 2 yr-1 at age  250, but was never negative after disturbance. Decomposition and  accumulation of dead wood contributed little to NECB relative to live  biomass in this system. Aboveground net primary productivity was  correlated with leaf area for all stands, and the decline in aboveground  net primary productivity with forest age was related to a decline in both  leaf area and growth efficiency. Forest structure was an important driver  of ecosystem C, with ecosystem C, live biomass C, and organic soil C  varying with basal area or tree density in addition to forest age. Rather  than identifying a single chronosequence, we found high variability in  many components of ecosystem C stocks through time; a &gt; 50% random  subsample of the sampled stands was necessary to reliably estimate the  non-linear equation coefficients for ecosystem C. At the spatial scale of  YNP, this variability suggests that landscape C develops via many pathways  over decades and centuries, with prior stand structure, regeneration, and  within-stand disturbance all important. With fire rotation projected to be  &lt; 30 years by mid century in response to a changing climate,  forests in YNP will store substantially less C (at least 4.8 kg C/m2 or  30% less).", "keywords": ["Pinus contorta var. latifolia", "13. Climate action", "Yellowstone", "lodgepole pine", "net ecosystem carbon balance", "15. Life on land", "Carbon"]}, "links": [{"href": "https://doi.org/10.5061/dryad.1v87f"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.1v87f", "name": "item", "description": "10.5061/dryad.1v87f", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.1v87f"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-12-03T00:00:00Z"}}, {"id": "10.5061/dryad.3sm0340", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:23Z", "type": "Dataset", "title": "Data from: Vegetation type controls root turnover in global grasslands", "description": "unspecifiedRoot turnover in  grasslands", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land"], "contacts": [{"organization": "Wang, Jinsong, Sun, Jian, Yu, Zhen, Li, Yong, Tian, Dashuan, Wang, Bingxue, Li, Zhaolei, Niu, Shuli,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.3sm0340"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.3sm0340", "name": "item", "description": "10.5061/dryad.3sm0340", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.3sm0340"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-15T00:00:00Z"}}, {"id": "10.5061/dryad.cz8w9gj78", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:27Z", "type": "Dataset", "title": "Soil microbial relative resource limitation exhibited contrasting seasonal patterns along an elevational gradient in Yulong snow mountain", "description": "unspecified", "keywords": ["2. Zero hunger", "mountain ecosystems", "13. Climate action", "microbial metabolic mechanisms", "microbial relative C limitation", "microbial relative P limitation", "C use efficiency", "FOS: Earth and related environmental sciences", "15. Life on land", "elevations"], "contacts": [{"organization": "Zhang, Dandan, Wu, Baoyun, Li, Jinsheng, Cheng, Xiaoli,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.cz8w9gj78"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.cz8w9gj78", "name": "item", "description": "10.5061/dryad.cz8w9gj78", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.cz8w9gj78"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-02T00:00:00Z"}}, {"id": "10.5061/dryad.pb271", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:31Z", "type": "Dataset", "title": "Data from: Interactions among roots, mycorrhizae and free-living microbial communities differentially impact soil carbon processes", "description": "unspecifiedPlant roots, their associated microbial community and free-living soil  microbes interact to regulate the movement of carbon from the soil to the  atmosphere, one of the most important and least understood fluxes of  terrestrial carbon. Our inadequate understanding of how plant\u2013microbial  interactions alter soil carbon decomposition may lead to poor model  predictions of terrestrial carbon feedbacks to the atmosphere. Roots,  mycorrhizal fungi and free-living soil microbes can alter soil carbon  decomposition through exudation of carbon into soil. Exudates of simple  carbon compounds can increase microbial activity because microbes are  typically carbon limited. When both roots and mycorrhizal fungi are  present in the soil, they may additively increase carbon decomposition.  However, when mycorrhizas are isolated from roots, they may limit soil  carbon decomposition by competing with free-living decomposers for  resources. We manipulated the access of roots and mycorrhizal fungi to  soil in situ in a temperate mixed deciduous forest. We added 13C-labelled  substrate to trace metabolized carbon in respiration and measured  carbon-degrading microbial extracellular enzyme activity and soil carbon  pools. We used our data in a mechanistic soil carbon decomposition model  to simulate and compare the effects of root and mycorrhizal fungal  presence on soil carbon dynamics over longer time periods. Contrary to  what we predicted, root and mycorrhizal biomass did not interact to  additively increase microbial activity and soil carbon degradation. The  metabolism of 13C-labelled starch was highest when root biomass was high  and mycorrhizal biomass was low. These results suggest that mycorrhizas  may negatively interact with the free-living microbial community to  influence soil carbon dynamics, a hypothesis supported by our enzyme  results. Our steady-state model simulations suggested that root presence  increased mineral-associated and particulate organic carbon pools, while  mycorrhizal fungal presence had a greater influence on particulate than  mineral-associated organic carbon pools. Synthesis. Our results suggest  that the activity of enzymes involved in organic matter decomposition was  contingent upon root\u2013mycorrhizal\u2013microbial interactions. Using our  experimental data in a decomposition simulation model, we show that  root\u2013mycorrhizal\u2013microbial interactions may have longer-term legacy  effects on soil carbon sequestration. Overall, our study suggests that  roots stimulate microbial activity in the short term, but contribute to  soil carbon storage over longer periods of time.", "keywords": ["2. Zero hunger", "roots", "13. Climate action", "simulation model", "carbon dynamics", "Rhizosphere", "stable isotope", "plant-soil (belowground) interactions", "15. Life on land", "extra-cellular enzyme activity", "mycorrhizae"], "contacts": [{"organization": "Moore, Jessica A. M., Jiang, Jiang, Patterson, Courtney M., Wang, Gangsheng, Mayes, Melanie A., Classen, Aim\u00e9e T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.pb271"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.pb271", "name": "item", "description": "10.5061/dryad.pb271", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.pb271"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-14T00:00:00Z"}}, {"id": "10.5194/acp-10-7017-2010", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:35Z", "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/soil-2020-96", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:50Z", "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.10065971", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:21:52Z", "type": "Dataset", "title": "Database of topsoil  chemical and physical properties in Croatia", "description": "Sources Data for database is collected from four main sources:\u00a0  Data published in book 'Martinovi\u0107, J. and Vrankovi\u0107, A. (Editors), 1997. Baza podataka o hrvatskim tlima, I. Dr\u017eavna uprava za za\u0161titu prirode i okoli\u0161a, Zagreb' labeled as 'martinovic_1997' in the database.  This source consists of 2199 pedological profiles sampled from 1963 to 1996, most of which include depth to bedrock information. Data from project: 'Spatial variability of trace and toxic metals in agricultural soils of Croatia', Ministry of Science and Education and Croatian Waters. Project leader: prof.dr.sc. Marija Romi\u0107 from Faculty of Agriculture, Zagreb, labeled as 'agricultural_2013'.  Data are sampled from 'database of properties and quality of agricultural soils of Croatia' on 8x8 km grid and consists only from top soil samples (0-30 cm). There are 811 samples in this database. Data from the the project: 'Change in soil carbon stocks and calculation of trends in total nitrogen and organic carbon in soil and C: N ratio', from Ministry of Environmental Protection and Energy, carried on by Croatian Geological Institute (HGI), the Croatian Forestry Institute (H\u0160I) and the Agricultural Land Agency (APZ).  This dataset consists of two subsets:  'azo_2013' - 2519 samples of topsoil (0-25 cm), from 1994 to 2004 for making of Geochemistry Atlas of Croatia 'azo_2016' - 742 locations were revisited during 2015-2016 and new samples are taken and analyzed in horizons 0-10 cm, 10-20 cm, 20-30 cm. Network of piezometers Description of sources\u00a0 Martinovi\u0107, J. and Vrankovi\u0107, A. (Editors), 1997. Baza podataka o hrvatskim tlima (Database of Croatian Soils)\u00a0 The database contains data on soil profiles and covers the total area of the Republic of Croatia. Only data accepted by external control are entered in the Database, as well as those profiles for which there is a minimum data. External control of data reliability was performed by comparing the genetical-morphological characteristics of the soil determined by field research and the data of laboratory soil analyses. The profiles for which the field and laboratory analyses are found to differ are rejected. In addition to data on soil properties, basic data on pedogenetic factors are given. The soil profiles surveyed in the period 1963-1996 are entered in the database. The majority of data come from the Basic Pedological Map of Croatia (Osnovna pedolo\u0161ka karta Hrvatske - OPKH) project. The following are entered in the Database: 1347 profiles in volume I and 851 profiles in volume II, a total of 2198 pedological profiles Spatial variability of trace and toxic metals in agricultural soils of Croatia, Project Leader: Marija Romi\u0107\u00a0 The problem of exposure of agricultural soils to different anthropogenic inputs of toxic metals, but also of other potentially toxic substances, has acquired global dimensions in the last decades. Besides atmospheric deposition, environmental dispersion of chemicals used in agriculture is an important factor directly affecting the natural soil functions, or indirectly endangering the biosphere by bioaccumulation and inclusion into the food chain. Metal concentrations in soil can be generally predicted starting with the element abundance in the parent material. The extent to which pedogenesis affects heavy metals distribution varies according to the prevailing factors affecting soil processes. Because of the toxicity to plants and animals, it is important to determine their content, forms and distribution. Such hypotheses may be tested by total metal content determination, as well as other elements relevant for geochemical valorization of the agricultural soils of Croatia. Thus, the spatial variability and baseline of elements in soils will be determined by means of relevant statistical and geostatistical methods. The maps of toxic metal distribution will be produced and the suitability of soils for agriculture will be assessed. GIS is increasingly used in environmental assessment studies because of its ability to superimpose different spatial information and to combine them with the results of statistical analysis, enabling thus the detection of complex spatial relationships among different parameters. Geostatistics and multivariate statistics has been widely used in geochemical studies to identify pollution sources and to apportion natural vs. anthropogenic contribution, establishing a geochemical background as well. The main objectives of the investigation are: (i) to provide a geochemical database relevant to the agricultural soils in Croatia; (ii) to provide a detailed information about the natural variability of the geochemical background which is pertinent to administrative and legal issues as well as to safety food production and environmental protection; (iii) presenting the influence of human and other environmental activities on the soil quality mainly regarding the toxic and trace metal contents, and (iv) we are going to observe the influence of natural conditions on regional differences which have been widely neglected so far, and have not been taken into account while national regulations and guidelines on soil toxic metal contents have been established. Change in soil carbon stocks and calculation of trends in total nitrogen and organic carbon in soil and C: N ratio\u00a0 The project is funded by the Fund for Environmental Protection and Energy Efficiency within the Program 'Upgrading and Development of the Environmental Information System and Improving the Monitoring and Reporting System on the State of the Environment in the Republic of Croatia', Component 2: Improving the Monitoring and Reporting System on the State of the Environment Croatia; improving the system of data collection and exchange and developing methodologies for their processing in accordance with the guidelines of the UNFCCC and the Kyoto Protocol defined by the IPCC (Intergovernmental Panel on Climate Change).\u00a0 The project holder is the Ministry of Environmental Protection and Energy, and the executors are the Croatian Geological Institute, the Croatian Forestry Institute and the Agricultural Land Agency. In the period 2014-2017, field and laboratory research of soil conditions was conducted at 725 representative locations. General data on the location of sampling were collected, which contain administrative, locational, geographical and other data (relief, climatic and meteorological data, detailed data on land use and vegetation cover, description of surface soil properties). Field soil sampling for each LULUCF land use category was performed according to a modified methodology described in the EU DG JRC (Joint Research Center) 'Protocol for soil sampling to confirm changes in organic carbon stocks in the EU' by Stolbovoy et al. 2007 (Soil sampling protocol to certify the changes of organic carbon stock in mineral soil of the European Union - EU JRC). The protocol modifications aimed to ensure reporting under the UNFCCC and Kyoto protocols, i.e., to ensure compliance with the IPCC methodology. Soil sampling on forest land (FL) according to the JRC protocol is planned at two depths of 0-10 cm and 10 - 20 cm and an organic layer (list), but due to reporting requirements under the UNFCCC and Kyoto protocol, sampling was carried out at a depth of 20 - 30 cm. Land under crops (CL) was sampled at two depths (0-20 cm and 20-30 cm) and grasslands (GL), wetlands (WL), settlements (SL) and other land (OL) were sampled at three depths 0- 10, 10-20 and 20-30 cm. Geochemical analyzes were performed at depths of 0\u201310 and 20\u201330 cm for forest soils (FL) and for meadows and pastures (GL) while for soils under crops (CL) composite samples of 0\u201330 cm and 0\u201320 cm were analyzed. Network of piezometers To get a more accurate depth to bedrock parameter, positions of 812 piezometers are considered as they have at least 4 meters of depth to bedrock. Description of database Column names and descriptions: Metadata columns: site_key - unique identifier that identifies sample in source database\u00a0source_db - label of source database\u00a0source_sampled - label of organization/team who sampled and analyzed data\u00a0site_obsdate - year of taking sample\u00a0longitude_decimal_degrees - longitude in degrees in WGS84 geographical projection\u00a0latitude_decimal_degrees - latitude in degrees in WGS84 geographical projection\u00a0pedon_completeness_index - quality factor (0-100)\u00a0taxgrtgroup - classification of sample according to WBR 2014/2016 classification\u00a0 Soil properties columns: column name - property - measurement units - descriptionoc - Carbon, Organic - % wt - CMS analyte. Organic carbon is a measure of all organic forms of carbon in the soil, including organic carbon within minerals.\u00a0n_tot_ncs - Nitrogen, Total NCS - % wt - Total nitrogen is a measure of all organic and inorganic nitrogen, including that found in nitrogen minerals.ca_mehlich3 - Calcium, Mehlich3 Extractable \u00a0- mg/kg - The calcium extracted by the Mehlich III solution.\u00a0k_mehlich3 - Potassium, Mehlich3 Extractable - mg/kg - The potassium extracted by the Mehlich III solution.\u00a0mg_mehlich3 - Magnesium, Mehlich3 Extractable - mg/kg - The magnesium extracted by the Mehlich III solution.\u00a0p_mehlich3 - Phosphorus, Mehlich3 Extractable - mg/kg - The phosphorus extracted by the Mehlich III solution.\u00a0cec_sum - Cation Exchange Capacity, Summary \u00a0 cmol(+)/kg - The effective cation exchange capacity is calculated by BASE_SUM+AL_KCL. It is not calculated if soluble salts are present. It is reported as meq per 100 grams on a <2 mm base. CMS derived value default\u00a0ec_satp - Electrical Conductivity , Saturation Extract - dS/m - The electrical conductivity of the saturation extract is used to estimate the concentration of salts in a sample, and provides inferences on cation concentration in solution and osmotic pressure. It is reported as mmhos per centimeter.\u00a0caco3 - Carbonates - % wt - Carbonate in the < 2mm fraction is measured by CO2 evolution after acid treatment. It is reported as gravimetric percent CaCO3 on a <2 mm base, even though carbonates of Mg, Na, K, and Fe may be present and react with the acidph_h2o - pH, 1:1 Soil-Water Suspension - (NA) - The pH, 1:1 soil-water suspension is the pH of a sample measured in distilled water at a 1:1 soil:solution ratio. If wider ratios increase the pH, salts are indicated.\u00a0ph_kcl - The pH, 1:1 soil-KCl suspension - (NA) - The pH, 1:1 soil-KCl suspension is the pH of a sample measured in 1.0N KCl at a 1:1 soil:solution ratio. If the pH in KCl < pH in water, Al+++ is indicated.\u00a0total_clay - Clay, Total - % wt - Total clay is the soil separate with <0.002 mm particle diameter. Clay size carbonate is included. Total clay is reported as a weight percent of the <2 mm fraction.\u00a0total_silt - Silt, Total - % wt - Total silt is the soil separate with 0.002 to 0.05 mm particle size. It is reported as a gravimetric percent on a <2 mm base.\u00a0total_sand - Sand, Total - % wt - Total sand is the soil separate with 0.05 to 2.0 mm particle diameter. It is reported as a gravimetric percent on a <2 mm base.\u00a0wpg2 - Coarse fragments - % wt - The weight fraction of particles with >2 mm diameter is reported as a gravimetric percent on a whole soil base.\u00a0db_od Bulk Density, <2mm Fraction, Ovendry - g/cc - Bulk density, oven dry (105 C) is the weight per unit volume of the <2 mm fraction, with volume measured on oven dry (105 C) natural fabric (clods). It is reported as grams per cubic centimeter on a <2 mm base.\u00a0dbr - Depth to bedrock - cm - Depth to the R horizon or similar", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "16. Peace & justice", "3. Good health"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10065971"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10065971", "name": "item", "description": "10.5281/zenodo.10065971", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10065971"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-11-02T00:00:00Z"}}, {"id": "10.5281/zenodo.10959077", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:22:08Z", "type": "Dataset", "created": "2023-10-30", "title": "Knowledge gaps on trade-offs of soil carbon sequestration related to soil management strategies", "description": "The database contains 87 unique literature items (29 reviews, 42 meta-analyses, 16 original papers) describing the effect of a soil management strategy (tillage management, cropping systems, water management, cover crops, crop residues, livestock manure, slurry, compost, biochar, liming) on the trade-offs between soil carbon sequestration or SOC change and N2O emission, CH4 emission and nitrogen leaching. Since some literature items describe effects of several SMS categories, the database_summary tab comprises a total of 112 unique inputs. For each input it is indicated in the Database_summary tab if it was used as input for the 'Soil management effect assessment' in Maenhout et al. (2024) [Maenhout, P., Di Bene, C., Cayuela, M. L., Diaz-Pines, E., Govednik, A., Keuper, F., Mavsar, S., Mihelic, R., O'Toole, A., Schwarzmann, A., Suhadolc, M., Syp, A., & Valkama, E. (2024). Trade-offs and synergies of soil carbon sequestration: Addressing knowledge gaps related to soil management strategies. European Journal of Soil Science, 75(3), e13515. https://doi.org/10.1111/ejss.13515] and/or to define knowledge gaps ('Knowledge gap in tab'-column). Knowledge gaps and research recommendations are gouped per soil management strategy in different tabs in this database. Per soil management strategy, knowledge gaps are clustered per theme in groups. These themes include: the specific soil management strategy, pedoclimatic conditions, establishment of experiments, other soil management strategies, meta-analysis, modelling and other", "keywords": ["Water management", "EJP SOIL", "Climate change mitigation", "Nitrogen leaching", "CH4", "Conservation agriculture", "Cropping systems", "SOMMIT", "N2O", "Organic matter inputs", "Tillage"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.10959077"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.10959077", "name": "item", "description": "10.5281/zenodo.10959077", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.10959077"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-13T00:00:00Z"}}, {"id": "10.5281/zenodo.1423484", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:22:32Z", "type": "Dataset", "title": "GPP: Site-scale and global model outputs from P-model used for Stocker et al. (2019) Nature Geosci.", "description": "<strong>Data from article Stocker et al. (in review) *Nature Geosci.*</strong>  The datasets provided here include:    Site-level GPP model results from the P-model (Wang et al., 2017)  Model outputs from global simulations with the P-model (Wang et al., 2017) as implemented for the study by Stocker et al. (2019)   This data may be used to partly reproduce results presented in Stocker et al. (2019) <em>Nature Geosci</em>. 'Partly' because we used data for our analysis that was not open access but was confidentially shared with us. This includes remote sensing-based GPP estimates from the BESS and VPM models. Other open access data that was used for the analysis may not be distributed under this DOI. This includes FLUXNET 2015 data and MODIS data.  For reproducing results of Stocker et al. (2019) regarding site-scale evaluations, run for example the scripts `plot_bias_all.R` and `plot_bias_problem.R`, available from Github or Zenodo, using CSV files provided here (see comments in scripts). For more insight, including analysis of global simulation outputs, see RMarkdown file `si_soilm_global.Rmd`. This renders the supplementary information PDF document provided along with Stocker et al. (2019), which is available also on RPubs.  The present datasets are prepared by script `prepare_data_openaccess.R ` on Github or Zenodo.  <strong>Data description</strong>  <em>Site-level data</em>  Data is provided as CSV files:    `gpp_daily_fluxnet_stocker18natgeo.csv`: Daily data for full time series (not including MODIS GPP)  `gpp_8daily_fluxnet_stocker18natgeo.csv`: Data aggregated to 8-day periods corresponding to MODIS dates (including MODIS GPP)  `gpp_alg_daily_fluxnet_stocker18natgeo.csv`: Data filtered to periods with substantial soil moisture effects ('fLUE droughts' following Stocker et al. (2018a))  `gpp_alg_8daily_fluxnet_stocker18natgeo.csv`: Data aggregated to 8-day periods and filtered to periods with substantial soil moisture effects.   Each column is a variable with the following name and units (not all variables are available in all files):    `site_id`: FLUXNET site ID   `date`: Date of measurement, units: YYYY-MM-DD  `gpp_pmodel` and `gpp_modis`: Simulated GPP from the P-model and MODIS (see Stocker et al. (2018b), Methods, RS models), units: g C m-2 d-1 (mean across 8 day periods in respective files)  `aet_splash`: Simulated actual evapotranspiration from the SPLASH model (Davis et al., 2017), units: mm d-1  `pet_splash`: Simulated potential evapotranspiration from the SPLASH model (Davis et al., 2017), units: mm d-1  `soilm_splash`: Soil moisture simulated by the SPLASH model (Davis et al., 2017), normalised to vary between zero and one at the maximum water holding capacity, unitless.  `flue`: fLUE estimate from Stocker et al. (2018). Estimates soil moisture stress on light use efficiency from flux data, unitless.  `beta_a`, `beta_b`, and `beta_c`: Empirical soil moisture stress, used as multiplier to simulated GPP as described in Stocker et al. (2018b), unitless.   <em>Global P-model simulation outputs</em>  GPP and soil moisture output is provided as NetCDF files for simulations s0, and s1b (see Stocker et al. (2018b)). All meta information is provided therein. Files for simulation s1b are names as follows (for outputs from other simulations replace s1b with other simulation name). The fraction of each gridcell covered by land (not open water or ice) is given by separate file `s1b_fapar3g_v2_global.fland.nc`.    `s1b_fapar3g_v2_global.d.gpp.nc`: Daily GPP from simulation s1b.  `s1b_fapar3g_v2_global.d.wcont.nc`: Daily soil moisture from simulation s1b (is identical in other simulations, therefore not provided.)   Due to limited total file size allowed for uploads to Zenodo, only outputs from s1b are provided here. Other outputs may be obtained upon request addressed to benjamin.stocker@gmail.com.   <strong>References</strong>  Davis, T. W. et al. Simple process-led algorithms for simulating habitats (SPLASH v.1.0): robust indices of radiation, evapotranspiration and plant-available moisture. Geoscientific Model Development 10, 689\u2013708 (2017).<br> Hufkens, K. khufkens/gee_subset: Google Earth Engine subset script &amp; library. (2017). doi:10.5281/zenodo.833789Running, S. W. et al. A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production. Bioscience 54, 547\u2013560 (2004).<br> Stocker, B. et al., Quantifying soil moisture impacts on light use efficiency across biomes, New Phytologist, doi: 10.1111/nph.15123 (2018a).<br> Stocker, B. et al., Satellite monitoring underestimates the impact of drought on terrestrial primary productivity, Nature Geoscience (2019).<br> Wang, H. et al. Towards a universal model for carbon dioxide uptake by plants. Nat Plants 3, 734\u2013741 (2017).<br>", "keywords": ["13. Climate action"], "contacts": [{"organization": "Stocker, Benjamin", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1423484"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1423484", "name": "item", "description": "10.5281/zenodo.1423484", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1423484"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-21T00:00:00Z"}}, {"id": "10.5281/zenodo.14280633", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-25T16:22:33Z", "type": "Software", "title": "Code files for \"Climate feedbacks from North American boreal forest fires\"", "description": "Computer code as part of the publication in review:  'Climate warming and cooling feedbacks from North American boreal forest fires'  Max J. van Gerrevink1,\u00a0Sander Veraverbeke1,2,\u00a0Sol Cooperdock3,\u00a0Stefano Potter3,\u00a0Qirui Zhong1,4 Michael Moubarak5,\u00a0Scott J. Goetz6,\u00a0Michelle C. Mack7,\u00a0James T. Randerson8,\u00a0Nick Schutgens1, Merritt R. Turetsky9, Guido R. van der Werf10, and Brendan M. Rogers3  1Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands  2School of Environmental Sciences, University of East Anglia, Norwich, United Kingdom  3Woodwell Climate Research Center, Falmouth, MA, USA  4College of Urban and Environmental Sciences, Peking University, Beijing, China  5Hamilton College, Hamilton, NY, USA  6School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA  7Center for Ecosystem Science and Society and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA  8Department of Earth System Science, University of California, Irvine, CA, USA  9Renewable and Sustainable Energy Institute, Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, USA  10Meteorology & Air Quality Group, Wageningen University and Research, Wageningen, The Netherlands  \u00a0  Correspondence to: Max J. van Gerrevink (m.j.van.gerrevink@vu.nl)  \u00a0  Files contain the computer code used to compute the climate radiative forcing from fire.  The computer code is spilt into 7 different scripts:    Well-mixed greenhouse gasses, precursors, and aerosol radiative forcing :\u00a0Radiative_forcing_GHG_precursors_aerosols_boxmodel.py  Mapping and uncertainty of Well-mixed greenhouse gasses, precursors, and aerosol radiative forcing : Radiative_forcing_GHG_precursors_aerosols_Mapping_and_uncertainty.py  Permafrost greenhouse gas emissions radiative forcing\u00a0: Radiative_Forcing_Permafrost_GHG.py  Changes in surface albedo radiative forcing :\u00a0Radiative_Forcing_Albedo_change.py  Uncertainty in surface albedo radiative forcing : Radiative_Forcing_Albedo_change_uncertainty.py  Vegetation recovery radiative forcing :\u00a0Radiative_Forcing_vegetation_recovery.py  Uncertainty in vegetation recovery radiative forcing : Radiative_Forcing_vegetation_recovery_uncertainty.py   \u00a0  * The sensitivity analysis for Permafrost greenhouse gas emissions is included in the Radiative_Forcing_Permafrost_GHG.py script.  Additionally, input files for atmospheric concentrations and impulse response function data are included as CSV files.", "keywords": ["Climate change", "Fires", "Radiative Forcing"], "contacts": [{"organization": "van Gerrevink, Max J., Veraverbeke, Sander, Cooperdock, Sol, Potter, Stefano, Zhong, Qirui, Moubarak, Michael, Goetz, Scott J., Mack, Michelle C., Randerson, James T., Schutgens, Nick, Turetsky, Merritt R., van der Werf, Guido R., Rogers, Brendan M.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14280633"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14280633", "name": "item", "description": "10.5281/zenodo.14280633", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14280633"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-05T00:00:00Z"}}, {"id": "10.5281/zenodo.16894966", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:04Z", "type": "Report", "created": "2023-02-22", "title": "Management of alternative water resources for variable rate irrigation - a Hungarian case study", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Most of the climate scenarios predict increased water scarcity in arid areas, such as Hungary. However, the irrigated area in Hungary covers 2% of agricultural land, mostly with outdated irrigation technology. The aim of the research was to develop the basis of a variable rate irrigation for water-saving precision sprinkler irrigation system on an arable area (85 ha) which is located in the reference area of the Tisza Riven Basin. There is limited available water resources at the site, therefore alternative water sources utilization system was set up for irrigation to adapt to climate change and reduce fertilizers. The basis of the alternative water resources are excess water, treated wastewater, biogas fermentation sludge which is collected in a water reservoir with 114000 m3 capacity. For proper irrigation scheduling, heterogeneity of topography, hydrological, soil and crop conditions has to be explored and monitored. Therefore physically-based modelling of the water balance and remote sensing-based surplus water and &amp;#160;vegetation status surveying are tested to use for accurate irrigation scheduling.Shallow groundwater and/or soil compaction can also contribute to excess inland water. This may occur even if there are drought periods in a year (e.g. in the Pannonian region), resulting in spots with a low crop yield. A LiDAR-based digital elevation model was found to provide appropriate data to identify sites affected by excess inland water. The spots identified can be used as spatial input data to compile a variable rate irrigation prescription map for imposing reduced (or zero) irrigation at areas more vulnerable to the occurrence of excess inland water. The water balance was also assessed for sites with physically-based models. Hydrus was used to model soil moisture changes at the Hungarian case study site.A model concept for crop evapotranspiration estimation was also developed based on vegetation indices calculated from satellite imagery. Several combinations of sensors and remote sensing products were tested to use in ETc modelling potentially. This approach was tested both at the Hungarian case study sites. Remote sensing-based analysis of crop evapotranspiration, combined with physically-based modelling, appears to be a promising method in water balance modelling of maize fields, especially if these fields are in summer when the crop is fully developed. However, the remotely sensed information verification is essential for the proper utilization of the remote sensing data in ETc modelling and predicting the spatio-temporal dynamics of crop yield, evapotranspiration, and irrigation demands.There is a need further benchmark scenarios to improve both physically-based models and satellite-based crop evapotranspiration models to achieve more accurate and valid simulations.The abstract was funded by European Union&amp;#8217;s Horizon 2020 &amp;#8220;WATERAGRI Water retention and nutrient recycling in soils and steams for improved agricultural production&amp;#8221; research and innovation programme under Grant Agreement No. 858375. This research was supported by the J&amp;#225;nos Bolyai Research Scholarship of the Hungarian Academy of Sciences.</p></article>", "keywords": ["2. Zero hunger", "13. Climate action", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.16894966"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.16894966", "name": "item", "description": "10.5281/zenodo.16894966", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.16894966"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-05-15T00:00:00Z"}}, {"id": "10.5281/zenodo.4287780", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:14Z", "type": "Dataset", "title": "Forest carbon prospecting for climate change mitigation: Version 1.0", "description": "This data package includes the two 1-km resolution global maps (.tif) of tropical forests between ~23.44\u00b0N and 23.44\u00b0S produced from the study: 1) investible forest carbon (in tCO<sub>2</sub>e ha<sup>-1</sup>y<sup>-1</sup>) and 2) forest carbon return-on-investment (Net Present Value in USD ha<sup>-1</sup>y<sup>-1</sup>) over a 30-year timeframe. It also includes the R script to reproduce these layers and their uncertainties. <em><strong>Investible Forest Carbon</strong>: </em>The investible forest carbon map was produced based on the total volume of CO<sub>2</sub>e associated with the three main carbon pools in the tropics, namely aboveground carbon, belowground carbon and soil organic carbon. This is followed by the application of key Verified Carbon Standard (VCS) criteria including additionality, to determine the magnitude and areas of investible forest carbon across the tropics. <em>Aboveground carbon.</em> A stoichiometric factor of 0.475 was applied to recent spatial data on aboveground carbon biomass to obtain carbon stock based on established carbon accounting methodologies. An uncertainty analyses was also performed to account for potential variability in stoichiometric factor. Subsequently, a conversion factor of 3.67 was applied to the carbon stock layer to obtain the volume of CO<sub>2</sub>e associated with this carbon pool. <em>Belowground carbon</em>. Belowground carbon biomass was firstly derived by applying two allometric equations relating to root to shoot biomass to the most recent spatial dataset on aboveground carbon biomass following established carbon accounting methodologies. The two equations are: Belowground biomass = 0.489\u00d7aboveground biomass^0.89; and Belowground biomass = 0.26\u00d7aboveground biomass A stoichiometric factor of 0.475 was subsequently applied to the estimated belowground carbon biomass to obtain the carbon stock. An uncertainty analyses was then performed to determine the mean, minimum and maximum values for belowground carbon. Following that, a conversion factor of 3.67 was applied to the carbon stock layer to obtain the volume of CO<sub>2</sub>e associated with this carbon pool. <em>Soil Organic Carbon</em>. Organic carbon density of the topsoil layer (0-30 cm) was obtained from the European Soil Data Centre as it represented the best data available for soil organic carbon. A conversion factor of 3.67 was subsequently applied to derive the volume of CO<sub>2</sub>e associated with this carbon pool. <em>Applying VCS criteria</em>. The criterion of additionality is a pre-condition for carbon credits to be certified under the VCS. This implies that only the volume of forest carbon that are under imminent threat of decline or loss if left unprotected by a conservation intervention can be certified under the VCS. The volume of forest carbon under threat of loss was based on the best available data on predicted deforestation rates across the tropics (through to the year 2029), and annualized over predicted 15-year period. The estimated annual deforestation rates was then applied to the total volume of CO<sub>2</sub>e associated with tropical forests as estimated above, deriving the volume of CO<sub>2</sub>e that would be certifiable and thus investible under the VCS. In addition, a conservative 10-year decay estimate was assumed for the estimate of the belowground carbon pool, and lands that will likely not be certifiable for other reasons, including recently deforested areas (i.e. for the period of 2010-2017), a well as human settlements, were excluded. Lastly, the VCS requirement to set aside buffer credits of 20% was accounted for to consider the risk of non-permanence associated with Agriculture, Forestry and Other Land Use (AFOLU) projects. <strong><em>Return</em>-<em>on-Investment</em></strong>. From the investible forest carbon map, the relative profitability of these areas was then modelled to produce a global forest carbon return-on-investment map based on their NPV. The NPV of returns were based on several simplifying assumptions following established values from previous studies. <em>Cost of project establishment</em>. The cost of project establishment was estimated to be at $25 ha<sup>-1</sup>. This was based on a range of costs that are key to the development of a project, including but not limited to project design, governance and planning, enforcement, zonation, land tenure and acquisition, surveying and research. <em>Cost for annual maintenance</em>. The cost for annual maintenance was estimated to be $10 ha<sup>-1</sup>, which included aspects such as in education and communication, monitoring, sustainable livelihoods, marketing, finance and administration. <em>Carbon price</em>. A constant carbon price of $5.8 t<sup>-1</sup>CO\u00ad<sub>2</sub>e for the first five years was applied. This price was based on an average price of carbon for avoided deforestation projects reported recently by Forest Trends\u2019 Ecosystem Marketplace (i.e. for the period 2006 \u2013 2018). Subsequently, a 5% price appreciation was applied annually over a project timeframe of 30 years. <em>Discount rate</em>. We calculated NPV of annual and accumulated profits over 30 years based on a 10% risk-adjusted discount rate. Further details for these datasets and their uncertainties are presented in Koh et. al. For questions or issues on the spatial data layers, please contact Yiwen Zeng (zengyiwen@nus.edu.sg).", "keywords": ["Carbon stocks", "Climate change mitigation", "13. Climate action", "Carbon finance", "15. Life on land"], "contacts": [{"organization": "Koh, Lian Pin, Zeng, Yiwen, Sarira, Tasya Vadya, Siman, Kelly,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4287780"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4287780", "name": "item", "description": "10.5281/zenodo.4287780", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4287780"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-25T00:00:00Z"}}, {"id": "10.5281/zenodo.3591992", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:12Z", "type": "Dataset", "title": "Organic matter content (om) soil maps of the Upper Colorado River Basin", "description": "UPDATE: WE FOUND A RENDERING ERROR IN MANY AREAS OF THE 5 CM MAP. WE HAVE RECREATED THE MAP AND INCLUDED IN A NEW VERSION OF THE REPOSITORY. Repository includes maps of organic matter content (% wt) as defined by United States soil survey program. These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data. This data should be used in combination with a soil depth or depth to restriction layer map (both layers that will be released soon as part of this project) to eliminate areas mapped at deeper depths than the soil actually goes. This is a limitation of this data which will hopefully be updated in future updates. The creation and interpretation of this data is documented in the following article. Please note this article has not been reviewed yet and this citation will be updated as the peer review process proceeds. Nauman, T. W., Duniway, M. C., In Preparation. Predictive reconstruction of soil survey property maps for field scale adaptive land management. Soil Science Society of America Journal. File Name Details: ACCURACY!! Please see manuscript and Github repository (https://github.com/naumi421/SoilReconProps) for full details on accuracy. We do provide cross validation (CV) accuracy plots in this repository for both the overall sample (_CV_plots.tif). These plots compare CV predictions with observed values relative to a 1:1 line. Values plotted near the 1:1 line are more accurate. Note that values are plotted in hex-bin density scatter plots because of the large number of observations (most are &gt;3000). Predictions are also evaluated with the U.S. soil survey laboratory database soil organic carbon (SOC) data. The SOC measurements were coverted to OM matter values using the common 1.724 conversion factor. The converted OM values are compared to predicted OM values using an accuracy plot (OM_SOC_plots.tif). Elements are separated by underscore (_) in the following sequence: property_r_depth_cm_geometry_model_additional_elements.extension Example: om_r_0_cm_2D_QRF_bt.tif Indicates soil organic matter content (om) at 0 cm depth using a 2D model (separate model for each depth) employing a quantile regression forest. This file is the raster prediction map for this model. There may be additional GIS files associated with this file (e.g. pyramids) that have the same file name, but different extensions. The _bt indicates that the map has been back transformed from ln or sqrt transformation used in modeling. The following elements may also exist on the end of filenames indicating other spatial files that characterize a given model's uncertainty (see below). _95PI_h: Indicates the layer is the upper 95% prediction interval value. _95PI_l: Indicates the layer is the lower 95% prediction interval value. _95PI_relwidth: Indicates the layer is the 95% relative prediction interval (RPI). The RPI is a standardization of the prediction interval that indicates that model is constraining uncertainty relative to the original sample. RPI values less than one represent uncertainty is being improved by the model relative to the original sample, and values less than 0.5 indicate low uncertainty in predictions. See paper listed above and also Nauman and Duniway (In revision) for more details on RPI. References Nauman, T. W., and Duniway, M. C., In Revision, Relative prediction intervals reveal larger uncertainty in 3D approaches to predictive digital soil mapping of soil properties with legacy data: Geoderma", "keywords": ["2. Zero hunger", "13. Climate action", "soil organic matter", "digital soil mapping", "15. Life on land", "6. Clean water", "predictive soil mapping", "soil property mapping"], "contacts": [{"organization": "Nauman, Travis", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.3591992"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.3591992", "name": "item", "description": "10.5281/zenodo.3591992", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.3591992"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-01-28T00:00:00Z"}}, {"id": "10.5281/zenodo.4487144", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:15Z", "type": "Dataset", "title": "Eddy Covariance data from ICOS-associated station IT-NIV \u2013 August-November 2019", "description": "RestrictedData stored here refer to Eddy Covariance (EC) data measured in 2019 between August and November at the Alpine CZO (Critical Zone Observatory, hereafter CZO@Nivolet) which was established at the Nivolet Plain (Piani del Nivolet) in the Gran Paradiso National Park (GPNP), located in the western Italian Alps. The EC site (IT-NIV) is an ICOS-associated station. CZO@Nivolet is aimed at investigating the cross-scale interactions between climatic shifts and ecosystem functions multiple scales, involving multidisciplinary studies. The main research questions that we aim to answer are concerning: (a) the effect of bedrock lithology, soil physics and chemisty, topographic hetereogenity, biotic components and meteo-climatic parameters in modulating CO<sub>2</sub> flux in alpine grassland; and (b) what are the controlling factors of organic C and weathering under geologic substrates and different topographic positions. The investigations started in 2017. In 2019, the EC tower was added to deeply study CO<sub>2</sub>, H<sub>2</sub>0, latent and sensible heat exchanges between soil, vegetation, and atmosphere. Carbon dioxide fluxes and environmental variables are recorded during the snow-free season to estimate carbon storage and explore CO<sub>2</sub> fluxes drivers in high-altitude grasslands. Further developments will regard the integration of different techniques (Eddy Covariance, Remote Sensing, Flux chambers) to improve both spatial and temporal extent of carbon fluxes estimates to finally assess grasslands' productivity.", "keywords": ["13. Climate action", "alpine grassland", "15. Life on land", "Gran Paradiso National Park", "Mountain", "EO_Data", "Eddy Covariance", "Net Ecosystem Exchange", "ecosystem-atmosphere carbon exchange"], "contacts": [{"organization": "Vivaldo, Gianna, Raco, Brunella, Baneschi, Ilaria, Giamberini, Maria Silvia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4487144"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4487144", "name": "item", "description": "10.5281/zenodo.4487144", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4487144"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-20T00:00:00Z"}}, {"id": "10.5281/zenodo.6202061", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:20Z", "type": "Dataset", "title": "Bias-corrected EURO-CORDEX RCM simulations for the OPTAIN case studies", "description": "Open AccessBias-corrected EURO-CORDEX RCM simulations are available on a daily timescale for: -period 1981-2099/2100, -6 RCM, -3 scenarios (RCPs 2.6, 4.5 and 8.5), -7 variables (mean, minimum and maximum temperature, precipitation, solar radiation, wind speed at 2 m and relative humidity) and -18 domains and 23 locations within these domains. Bias correction and further downscaling to 0.1\ufffd\ufffd was done using ERA5-Land reanalysis data with non-parametric empirical quantile mapping. Moreover, the interpolation of gridded bias-corrected climate model simulations to the locations was made using universal kriging. <strong>Organization of the data</strong> The name of the files are <em>domain</em>-<em>type</em>.zip, where <em>type</em> is gridded (NetCDF) or point (csv). Each zip file contains multiple files, organized in subfolders: <em>experiment</em>/<em>modelNumber</em>/<em>variable</em>.nc for gridded and <em>experiment</em>/<em>modelNumber</em>/<em>variable-pilotFieldNumber</em>.txt for point data, where <em>experiment </em>is rcp26, rcp45 or rcp85. <em>domain and pilotFieldNumber</em> <strong>domain</strong> <strong>domain </strong><strong>location (min and max. Longitude, min and max latitude</strong><strong>)</strong> <strong>pilotFieldNumber</strong> <strong>pilot field </strong><strong>location (longitude, latitude)</strong> <strong>case study</strong><strong> number</strong> <strong>country</strong> <strong>Name (OPTAIN case study)</strong> 01 50.95 51.45 14.55 15.05 1 DEU Schoeps 02 46.35 47.05 6.55 7.15 2 46.816667 6.95 2 CHE Petite Glane 02_1 46.75 47.25 7.25 7.75 1 46.983333 7.466667 02_34 47.35 47.85 8.35 3 4 47.433333 8.516667 47.683333 8.616667 02_5 46.15 46.65 5.95 6.45 5 46.4 6.233333 03a 46.65 47.15 17.45 17.95 1 2 3 4 46.92649 17.68246 46.9166 17.68976 46.91283 17.69754 46.91283 17.69723 3a HUN Csorsza 03b 46.45 46.95 16.65 17.15 3b HUN Felso Valicka 04 52.35 52.85 18.45 18.95 1 52.597469 18.728617 4 POL Upper Zglowiaczka 05 46.35 46.85 15.35 15.85 5 SVN Pesnica 06 46.45 46.95 16.15 16.65 6 HUN/SVN Kebele/Kobiljski 07 49.85 50.35 4.75 5.25 7 BEL La Wimbe 08 55.15 55.75 23.55 24.05 1 2 55.522057 23.799235 55.42233194 23.82580339 8 LTU Dotnuvele 09 45.45 45.95 9.65 10.15 9 ITA Cherio 10 59.45 59.95 10.75 11.25 1 2 3 4 5 6 7 8 59.71949 10.83576 59.6833306 10.8833298 59.6833306 10.8833298 59.665 10.9475 59.665 10.9475 59.841012 10.903597 59.757631 11.072031 59.539623 10.856447 10 NOR Krogstad 11 46.45 46.95 17.55 18.05 1 2 46.658333 17.75583 46.656944 17.75833 11 HUN Tetves 12 49.35 49.85 14.75 15.25 1 49.616837 15.078266 12 CZE Cechticky 13 55.85 56.35 25.85 26.45 13 LVA Dviete 14 59.75 60.25 17.55 18.05 14 SWE Ingvastaan Lehstaan <em>modelNumber</em> <strong>modelNumber</strong> <strong>Driving Model (GCM)</strong> <strong>Ensemble</strong> <strong>RCM </strong> <strong>End date</strong> 1 EC-EARTH r12i1p1 CCLM4-8-17 31.12.2100 2 EC-EARTH r3i1p1 HIRHAM5 31.12.2100 3 HadGEM2-ES r1i1p1 HIRHAM5 30.12.2099 4 HadGEM2-ES r1i1p1 RACMO22E 30.12.2099 5 HadGEM2-ES r1i1p1 RCA4 30.12.2099 6 MPI-ESM-LR r2i1p1 REMO2009 31.12.2100 <em>variable</em> <strong>variable</strong> <strong>description</strong> <strong>Unit</strong> Tmean Mean temperature \ufffd\ufffdC Tmin Min temperature \ufffd\ufffdC Tmax Max temperature \ufffd\ufffdC prec Precipitation mm solarRad Solar radiation MJ/m2 windSpeed Wind speed at 2m m/s relHum Relative humidity % <strong>Methodolody</strong> Bias correction was done using non-parametric empirical quantile mapping with modified method from R package qmap. Parameters selected were: corrections for each day of the year using a moving windows for a 31 days; 100 quantiles; wet days corrections for precipitation. The reference period is 1981-2010. The interpolation of gridded bias-corrected climate model simulations to the location was made using universal kriging with R packages automap and gstat with (external) variables x, y, x2, y2, x*y, z, where x is latitude, y is longitude, and z is elevation. For Digital Elevation Model Shuttle Radar Topography Mission was used. If there was an error using above mentioned variables, the number of variables was reduced to x, y, x*y, z and if there was still an error to x, y, z. <strong>Funding</strong> This project has received funding from the European Union\ufffd\ufffd\ufffds Horizon 2020 research and innovation programme under grant agreement No 862756.", "keywords": ["CORDEX", "13. Climate action", "RCM", "ERA5-Land", "OPTAIN", "EURO-CORDEX", "bias correction"], "contacts": [{"organization": "Honzak, Luka", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.6202061"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.6202061", "name": "item", "description": "10.5281/zenodo.6202061", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.6202061"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-02-21T00:00:00Z"}}, {"id": "10.5281/zenodo.7307449", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:30Z", "type": "Dataset", "title": "Components of the complete budget for SAFE intensive carbon plots", "description": "<strong>Description: </strong> Measured components of total carbon budget at SAFE project, values, with standard errors, for each 1-ha carbon plots for 11 plots investigated across a logging gradient from unlogged old-growth to heavily logged.<br> <br> These data are also published in below-ground carbon cycle in Riutta et al 2021 GBC and allocation of net primary productivity from Riutta et al 2019 GCB. This worksheet include two addititional carbon plots from Lambir Hills National Park (see Kho et al. 2013 JGR), which are not part of the SAFE Project. Below-ground carbon cycle data can be found at DOI 10.5281/zenodo.3266770 and leaf respiration at DOI 10.5281/zenodo.3247630.<br> <br> SAFE Intensive Carbon Plots, part of the Global Ecosystem Monitoring (GEM) network, see http://gem.tropicalforests.ox.ac.uk/. All the methods and installation is described in detail in the GEM Intensive Carbon Plots manual, available at http://gem.tropicalforests.ox.ac.uk/files/rainfor-gemmanual.v3.0.pdf. <strong>Project: </strong>This dataset was collected as part of the following SAFE research project: <strong>Changing carbon dioxide and water budgets from deforestation and habitat modification</strong> <strong>Funding: </strong>These data were collected as part of research funded by: Sime Darby Foundation (Grant, SAFE Core data) European Research Council Advanced Investigator Grant, GEM-TRAIT (Grant, Grant number 321131) NERC Human-Modified Tropical Forests Programme: Biodiversity And Land-use Impacts on tropical ecosystem function (BALI) Project (Grant, NE/K016369/1) NERC standard grant: The multi-year impacts of the 2015/2016 El Ni\u00f1o on the carbon cycle of tropical forests worldwide (Grant, NE/P001092/1) HSBC Malaysia (Grant) The University of Zurich (Grant) This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs. <strong>Permits: </strong>These data were collected under permit from the following authorities: Sabah Biodiversity Council (Research licence JKM/MBs.1000-2/2 JLD.6 (76)) <strong>XML metadata: </strong>GEMINI compliant metadata for this dataset is available here <strong>Files: </strong>This consists of 1 file: SAFE_CarbonBalanceComponents.xlsx <strong>SAFE_CarbonBalanceComponents.xlsx</strong> This file contains dataset metadata and 1 data tables: <strong>Carbon balance components data</strong> (described in worksheet Data) Description: Carbon balance components and carbon budget of intensive carbon plots at SAFE project Number of fields: 64 Number of data rows: 11 Fields: <strong>ForestType</strong>: Old-growth or Logged (Field type: categorical) <strong>SAFEPlotName</strong>: SAFE plot name, as in the SAFE Gazetteer (Field type: location) <strong>PlotName</strong>: Plot name (used in field work) (Field type: id) <strong>ForestPlotsCode</strong>: Plot code, as in the ForestPlots database (this should be used in publications, instead of plot name) (Field type: id) <strong>WoodyNPP_Stem</strong>: Woody stem productivity (subcomponent of woody net primary productivity) (Field type: numeric) <strong>WoodyNPP_CoarseRoot</strong>: Coarse root productivity (subcomponent of woody net primary productivity) (Field type: numeric) <strong>WoodyNPP_BranchTurnover</strong>: Branch turnover productivity (subcomponent of woody net primary productivity) (Field type: numeric) <strong>WoodyNPP_Total</strong>: Total woody net primary producivity (Field type: numeric) <strong>CanopyNPP_Leaf</strong>: Leaf productivity (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Twig</strong>: Twig productivity (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Reproductive</strong>: Reproductive productivity, i.e. fruit, seed and flowers (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Miscellaneous</strong>: Unidentified canopy debris (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Herbivory</strong>: Leaf productivity lost to herbivory (subcomponent of canopy net primary productivity) (Field type: numeric) <strong>CanopyNPP_Total</strong>: Total canopy net primary producivty (Field type: numeric) <strong>FineRootNPP</strong>: Fine root productivity (Field type: numeric) <strong>TotalNPP_WithoutMycorrhiza</strong>: Total net primary productivity without mycorrhiza (Field type: numeric) <strong>TotalNPP_WithMycorrhiza</strong>: Total net primary productivity including mycorrhiza (Field type: numeric) <strong>GPP_WithoutMycorrhiza</strong>: Gross primary productivity without mycorrhiza (Field type: numeric) <strong>GPP_WithMycorrhiza</strong>: Gross primary productivity including mycorrhiza (Field type: numeric) <strong>R_Stem</strong>: Respiration from woody stems (Field type: numeric) <strong>R_Leaf</strong>: Leaf Respiration (Field type: numeric) <strong>R_FineRoots</strong>: Respiration from fine roots (Field type: numeric) <strong>R_CoarseRoots</strong>: Respiration from coarse roots (Field type: numeric) <strong>R_SOM</strong>: Respiration from soil organic matter (Field type: numeric) <strong>R_Mycorrhiza</strong>: Respiration from mycorrhiza (Field type: numeric) <strong>R_Litter</strong>: Respiration from litter layer (Field type: numeric) <strong>R_Deadwood</strong>: Deadwood respiration (Field type: numeric) <strong>R_auto</strong>: Total autotrophic respiration (Field type: numeric) <strong>R_het</strong>: Total heterotrophic respiration (Field type: numeric) <strong>R_eco</strong>: Total ecosystem respiration (Field type: numeric) <strong>NEP_WithoutMycorrhiza</strong>: Total net ecosystem productivity (also known as net ecosystem exchange) without including mycorrhiza, whereby positive values indicate a net source of carbon to the atmosphere (Field type: numeric) <strong>NEP_WithMycorrhiza</strong>: Total net ecosystem productivity (also known as net ecosystem exchange) including mycorrhiza, whereby positive values indicate a net source of carbon to the atmosphere (Field type: numeric) <strong>AbovegroundBiomassCarbonStock</strong>: Plot above-ground biomass carbon stock (Field type: numeric) <strong>CoarseRootBiomassCarbonStock</strong>: Biomass carbon stock of coarse roots (Field type: numeric) <strong>SE_WoodyNPP_Stem</strong>: Standard error of woody stem productivity (Field type: numeric) <strong>SE_WoodyNPP_CoarseRoot</strong>: Standard error of coarse root productivity (Field type: numeric) <strong>SE_WoodyNPP_BranchTurnover</strong>: Standard error of branch turnover productivity (Field type: numeric) <strong>SE_WoodyNPP_Total</strong>: Standard error of total woody net primary producivity (Field type: numeric) <strong>SE_CanopyNPP_Leaf</strong>: Standard error of leaf productivity (Field type: numeric) <strong>SE_CanopyNPP_Twig</strong>: Standard error of twig productivity (Field type: numeric) <strong>SE_CanopyNPP_Reproductive</strong>: Standard error of reproductive productivity, i.e. fruit, seed and flowers (Field type: numeric) <strong>SE_CanopyNPP_Miscellaneous</strong>: Standard error of unidentified canopy debris (Field type: numeric) <strong>SE_CanopyNPP_Herbivory</strong>: Standard error of leaf productivity lost to herbivory (Field type: numeric) <strong>SE_CanopyNPP_Total</strong>: Standard error of total canopy net primary producivty (Field type: numeric) <strong>SE_FineRootNPP</strong>: Standard error of fine root productivity (Field type: numeric) <strong>SE_TotalNPP_WithoutMycorrhiza</strong>: Standard error of total net primary productivity without mycorrhiza (Field type: numeric) <strong>SE_TotalNPP_WithMycorrhiza</strong>: Standard error of total net primary productivity including mycorrhiza (Field type: numeric) <strong>SE_GPP_WithoutMycorrhiza</strong>: Standard error of gross primary productivity without mycorrhiza (Field type: numeric) <strong>SE_GPP_WithMycorrhiza</strong>: Standard error of gross primary productivity including mycorrhiza (Field type: numeric) <strong>SE_R_Stem</strong>: Standard error of respiration from woody stems (Field type: numeric) <strong>SE_R_Leaf</strong>: Standard error of leaf Respiration (Field type: numeric) <strong>SE_R_FineRoots</strong>: Standard error of respiration from fine roots (Field type: numeric) <strong>SE_R_CoarseRoots</strong>: Standard error of respiration from coarse roots (Field type: numeric) <strong>SE_R_SOM</strong>: Standard error of respiration from soil organic matter (Field type: numeric) <strong>SE_R_Mycorrhiza</strong>: Standard error of respiration from mycorrhiza (Field type: numeric) <strong>SE_R_Litter</strong>: Standard error of litter layer respiration (Field type: numeric) <strong>SE_R_Deadwood</strong>: Standard error of deadwood respiration (Field type: numeric) <strong>SE_R_auto</strong>: Standard error of total autotrophic respiration (Field type: numeric) <strong>SE_R_het</strong>: Standard error of total heterotrophic respiration (Field type: numeric) <strong>SE_R_eco</strong>: Standard error of total ecosystem respiration (Field type: numeric) <strong>SE_NEP_WithoutMycorrhiza</strong>: Standard error of total net ecosystem productivity (Field type: numeric) <strong>SE_NEP_WithMycorrhiza</strong>: Standard error of total net ecosystem productivity (Field type: numeric) <strong>SE_AbovegroundBiomassCarbonStock</strong>: Standard error of plot above-ground biomass carbon stock (Field type: numeric) <strong>SE_CoarseRootBiomassCarbonStock</strong>: Standard error of biomass carbon stock of coarse roots (Field type: numeric) <strong>Date range: </strong>2011-08-25 to 2018-07-17 <strong>Latitudinal extent: </strong>4.1830 to 5.0700 <strong>Longitudinal extent: </strong>114.0190 to 117.8200", "keywords": ["2. Zero hunger", "Soil carbon cycle", "Soil organic matter", "Flux", "Respiration", "15. Life on land", "Carbon balance", "Autotrophic respiration", "6. Clean water", "SAFE core data", "13. Climate action", "SAFE project", "Heterotropchic respiration", "Litter", "Carbon plot", "Carbon flux", "Productivity"], "contacts": [{"organization": "Riutta, Terhi, Ewers, Robert M, Malhi, Yadvinder, Majalap, Noreen, Khoon, Kho Lip, Mills, Maria,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7307449"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7307449", "name": "item", "description": "10.5281/zenodo.7307449", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7307449"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-09T00:00:00Z"}}, {"id": "10.5281/zenodo.7656722", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:31Z", "type": "Dataset", "title": "Data for: The effect of land-use change on soil C, N, P, and their stoichiometries: A global synthesis", "description": "Open Access<strong><em>Data description</em></strong> This dataset includes detailed information about five different types of land use change reported in \u201cThe effect of land-use change on soil C, N, P, and their stoichiometries: A global synthesis (Agriculture, Ecosystems and Environment; https://doi.org/10.1016/j.agee.2023.108402)\u201d. Lists of five different types of land use change 1) conversion of primary forest to cropland 2) conversion of primary forest to grassland 3) conversion of cropland to forest 4) conversion of grassland to forest 5) conversion of grassland to cropland Lists of detailed information Land use change (pre-LUC, post-LUC) Country, Location, Geographic position (Longitude, Latitude) Altitude (m) Climate zone Weather [rainfall (mm yr<sup>-1</sup>) and temperature (\u00b0C)] Reported time of change (years) Vegetation type (pre-LUC, post-LUC) Fertilizer (pre-LUC, post-LUC: type, application; change) Soil sampling depth (cm) Soil type [units, pre-LUC, post-LUC, change rate (%)] Soil pH, bulk density, CEC [units, pre-LUC, post-LUC, change rate (%)] Soil organic carbon [units, pre-LUC, post-LUC, change rate (%)] Soil total nitrogen [units, pre-LUC, post-LUC, change rate (%)] Soil total phosphorus [units, pre-LUC, post-LUC, change rate (%)] Soil C:N [units, pre-LUC, post-LUC, change rate (%)] Soil C:P [units, pre-LUC, post-LUC, change rate (%)] Soil N:P [units, pre-LUC, post-LUC, change rate (%)] Reference <em><strong>Data collection method</strong></em> We analyzed five different types of LUC: 1) conversion of primary forest to cropland, 2) conversion of primary forest to grassland, 3) conversion of cropland to forest, 4) conversion of grassland to forest, and 5) conversion of grassland to cropland. We classified primary forest as forest that had not previously been cleared and used for other land uses. The conversion of cropland or grassland to forest includes naturally generated and intentionally planted forest. Cropland is land used for growing agricultural crops and may include short pasture phases, and grassland is land used continuously for grazing purposes, but may include occasional and repeated pasture-renewal phases. While we tried to make categorical distinctions between these land-use types, land uses are often more fluid in practice, which may not always have been stated in the publications underlying our data compilation. When a paper reported both contents and stocks, we used the stock-based measure. We used reported stocks if the original work had already been corrected to equivalent soil mass (Ellert and Bettany, 1995) or if corrected stocks had been reported in previous reviews or meta-analyses (Don et al., 2011; Poeplau et al., 2011; Guo and Gifford, 2002). Where bulk-density correction had not been applied, we tried to make those corrections to estimate changes to equivalent soil mass if studies provided sufficient information on soil bulk density and depth, using the method of Zhang et al. (2004). If that was not possible, we used the reported SOC, TN, or TP contents. <em><strong>Acknowledgements</strong></em> We thank scientists who measured, analyzed, and published the data compiled for this study. We are especially grateful to Drs. Axel Don, Christopher Poeplau, Lex Bouwman, and Gaihe Yang, who provided their global meta-data through personal communication. D.-G.K. acknowledges support from the IAEA CRP D15020. M.U.F.K and L.L.L. were supported by the Strategic Science Investment Fund (SSIF) of New Zealand\u2019s Ministry of Business, Innovation and Employment.", "keywords": ["2. Zero hunger", "13. Climate action", "land-use change", " greenhouse gas emissions", " soil", " carbon", " nitrogen", " phosphorus", " stoichiometry", " time", " temperature", " rainfall", " forest type", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7656722"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7656722", "name": "item", "description": "10.5281/zenodo.7656722", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7656722"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-20T00:00:00Z"}}, {"id": "10.5281/zenodo.7695641", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-25T16:23:32Z", "type": "Report", "title": "Soil and land management ontology reference document", "description": "The Soil Mission Support (SMS) project supports the European Commission and the Mission Board of the Horizon Europe<br> Mission in the area of Soil Health and Food in delivering its objectives and related targets. It is assumed that the<br> Soil Mission and its related objectives and specific targets can only be achieved through healthy soils and for that,<br> stakeholder engagement is needed. Healthy soils are defined as soils that are in good chemical, biological and physical<br> condition and thus are able to continuously provide as many ecosystem services as possible (EC, 2021a). Stakeholders<br> are defined as those who are affected in their interest or concern by changes in soil and land management (Brils et al.,<br> 2022).<br> With multi-stakeholder processes, language and use of language is very important. The capability to understand each<br> other is critical. Communication difficulties originate to a large extent from the \u2018jargon\u2019 used in the different communities.<br> A common language facilitates \u2018learning together\u2019 which helps to build trust, develop a common view on the issues<br> at stake, resolve conflicts and arrive at joint solutions that are technically sound and that can be implemented in<br> practice. Ontology defines a common vocabulary for those who, for example, need to converse about a common issue<br> or share information in a specific domain.<br> In first instance the shared domain of discourse was defined and then at different levels of hierarchy:<br> \u00b7 Primary objects of relevance for the domain of discourse were selected;<br> \u00b7 The inter-relational links between these objects was conceptualized (conceptual model); and<br> \u00b7 These objects were defined in a representational vocabulary (a common language).<br> The domain of discourse covers soil and land management aimed to achieve the first six (of the eight) Soil Mission<br> objectives, which are: 1. reduce desertification, 2. conserve soil organic carbon stocks, 3. stop soil sealing and increase<br> re-use of urban soils, 4. reduce soil pollution and enhance restoration, 5. prevent erosion, and 6. improve soil structure<br> to enhance soil biodiversity.<br> The first level of hierarchy covers soil and land and its use. At this level the following objects have been selected, interrelated<br> in a conceptual model (i.e. visual of soil and land-use) and defined in a common language: soil, land, landuse<br> and land-use types (including: urban, industrial, agriculture, forest, nature and protected land).<br> The second level of hierarchy covers soil management. At his level the following objects have been selected, interrelated<br> in a conceptual soil management model and defined in a common language: soil management (including: soil<br> management strategy, measures, program of measures), soil ecosystems (including: ecosystem services, pressures,<br> healthy soil ecosystems), users (stakeholders) and information.<br> Lastly, the third level of hierarchy covers the achievement of the first six Soil Mission objectives. At this level the<br> most relevant objects related to each of these objectives are selected and interrelated to their position in the DPSIR<br> (Drivers-Pressures-State-Impact-Response) framework which is at this 3rd level superimposed on the soil management<br> model as used for level 2.<br> The remaining two Soil Mission objectives, i.e. 7. reduce the EU global footprint on soils and 8. improve soil literacy in<br> society, do not directly relate to the actual management of soil and land. However, also for these mission objectives<br> some important objects have been selected and defined in a common language.<br> Experts in the SMS project \u2013 jointly covering the fields of expertise related to all the 8 Soil Mission objectives \u2013 developed<br> this ontology. This ontology should now be used in soil policy and management practice, such as Living Labs. In<br> such settings, the ontology can be improved through interaction with stakeholders from different backgrounds, further<br> increasing its value.<br> The key-recommendations are:<br> \u00b7 use this ontology in soil policy and management practice (e.g. Living Labs)<br> \u00b7 soil policy makers and managers should promote its use in such practice<br> \u00b7 use the feedback from stakeholders to further improve the ontology<br> In support of the dissemination of this document a policy brief is prepared and attached as annex in this document.<br> Both documents are made publicly available via de SMS website: https://www.soilmissionsupport.eu/outputs", "keywords": ["2. Zero hunger", "13. Climate action", "11. Sustainability", "15. Life on land", "12. 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