{"type": "FeatureCollection", "features": [{"id": "10.1016/j.radmeas.2019.106221", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:17:01Z", "type": "Journal Article", "created": "2019-11-19", "title": "Bleaching studies on Al-hole ([AlO4/h]0) electron spin resonance (ESR) signal in sedimentary quartz", "description": "Abstract Electron spin resonance (ESR) dating of sediments using quartz is most commonly used for older sediments (>100 ka), since large residuals render the ESR signal unsuitable for dating young sediments. The multiple-centre approach (utilising both Ti and [AlO4/h]0 signals) is usually used to test the resetting of the signals used for ESR dating. Here we work towards a better understanding of, and correction for, the residual signal in ESR samples of sedimentary quartz. We undertook multiple-centre ESR measurements using quartz [AlO4/h]0 and Ti signals on young aeolian samples of different grain sizes which have been independently dated using optically stimulated luminescence (OSL). Our results demonstrate that [AlO4/h]0 signal yields residuals indicating equivalent doses of about 500\u00a0Gy, substantially older than expected for the known OSL equivalent doses in the range of 8\u201337\u00a0Gy. The decay of [AlO4/h]0 signal as function of bleaching time can be represented by an exponential function. We investigate the dependence of the residual magnitude of the ESR signal as a function of the previous given dose and observe an exponential increase in the residual signal with dose. Such observations are consistent with the results of luminescence process modelling conducted for a model comprising two luminescence centres and several traps, one of which is a so-called deep disconnected trap that cannot be emptied during optical stimulation. We propose that bleaching occurs through an electron-hole recombination process with electrons released from optically sensitive traps. In addition to our new insights into the bleaching mechanisms of the [AlO4/h]0 ESR signal, we discuss the implications for the procedures used for performing residual dose corrections in ESR dating. We recommend that modern analogues be used in addition to laboratory-bleached samples when performing residual dose corrections.", "keywords": ["ESR dating", "Sedimentary quartz", "03 medical and health sciences", "0302 clinical medicine", "Residual", "Sedimentary quartz ESR dating[AlO4/h]0 Residual Bleaching Modelling", "[AlO4/h]0", "Bleaching", "01 natural sciences", "Modelling", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.radmeas.2019.106221"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Radiation%20Measurements", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.radmeas.2019.106221", "name": "item", "description": "10.1016/j.radmeas.2019.106221", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.radmeas.2019.106221"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-01-01T00:00:00Z"}}, {"id": "10.1111/gcb.12819", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:21Z", "type": "Journal Article", "created": "2014-12-05", "title": "Soil Warming And Co2 Enrichment Induce Biomass Shifts In Alpine Tree Line Vegetation", "description": "Abstract

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 <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.

", "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": "10.3390/agronomy9050255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:21:49Z", "type": "Journal Article", "created": "2019-05-21", "title": "Assimilation of Sentinel-2 Leaf Area Index Data into a Physically-Based Crop Growth Model for Yield Estimation", "description": "

Remote sensing data, crop growth models, and optimization routines constitute a toolset that can be used together to map crop yield over large areas when access to field data is limited. In this study, Leaf Area Index (LAI) data from the Copernicus Sentinel-2 satellite were combined with the Environmental Policy Integrated Climate (EPIC) model to estimate crop yield using a re-calibration data assimilation approach. The experiment was implemented for a winter wheat crop during two growing seasons (2016 and 2017) under four different fertilization management strategies. A number of field measurements were conducted spanning from LAI to biomass and crop yields. LAI showed a good correlation between the Sentinel-2 estimates and the ground measurements using non-destructive method. A correlating fit between satellite LAI curves and EPIC modelled LAI curves was also observed. The assimilation of LAI in EPIC provided an improvement in yield estimation in both years even though in 2017 strong underestimations were observed. The diverging results obtained in the two years indicated that the assimilation framework has to be tested under different environmental conditions before being applied on a larger scale with limited field data.

", "keywords": ["2. Zero hunger", "yield estimation", "S", "Leaf Area Index", "EPIC model", "Agriculture", "Crop growth model", "04 agricultural and veterinary sciences", "15. Life on land", "crop growth model", "Yield estimation", "13. Climate action", "Leaf area index", "Data assimilation", "0401 agriculture", " forestry", " and fisheries", "Sentinel-2", "data assimilation"]}, "links": [{"href": "http://www.mdpi.com/2073-4395/9/5/255/pdf"}, {"href": "https://www.mdpi.com/2073-4395/9/5/255/pdf"}, {"href": "https://doi.org/10.3390/agronomy9050255"}, {"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/agronomy9050255", "name": "item", "description": "10.3390/agronomy9050255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy9050255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-05-21T00:00:00Z"}}, {"id": "10.5061/dryad.pb271", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:37Z", "type": "Dataset", "title": "Data from: Interactions among roots, mycorrhizae and free-living microbial communities differentially impact soil carbon processes", "description": "unspecifiedPlant roots, their associated microbial community and free-living soil microbes interact to regulate the movement of carbon from the soil to the atmosphere, one of the most important and least understood fluxes of terrestrial carbon. Our inadequate understanding of how plant\u2013microbial interactions alter soil carbon decomposition may lead to poor model predictions of terrestrial carbon feedbacks to the atmosphere. Roots, mycorrhizal fungi and free-living soil microbes can alter soil carbon decomposition through exudation of carbon into soil. Exudates of simple carbon compounds can increase microbial activity because microbes are typically carbon limited. When both roots and mycorrhizal fungi are present in the soil, they may additively increase carbon decomposition. However, when mycorrhizas are isolated from roots, they may limit soil carbon decomposition by competing with free-living decomposers for resources. We manipulated the access of roots and mycorrhizal fungi to soil in situ in a temperate mixed deciduous forest. We added 13C-labelled substrate to trace metabolized carbon in respiration and measured carbon-degrading microbial extracellular enzyme activity and soil carbon pools. We used our data in a mechanistic soil carbon decomposition model to simulate and compare the effects of root and mycorrhizal fungal presence on soil carbon dynamics over longer time periods. Contrary to what we predicted, root and mycorrhizal biomass did not interact to additively increase microbial activity and soil carbon degradation. The metabolism of 13C-labelled starch was highest when root biomass was high and mycorrhizal biomass was low. These results suggest that mycorrhizas may negatively interact with the free-living microbial community to influence soil carbon dynamics, a hypothesis supported by our enzyme results. Our steady-state model simulations suggested that root presence increased mineral-associated and particulate organic carbon pools, while mycorrhizal fungal presence had a greater influence on particulate than mineral-associated organic carbon pools. Synthesis. Our results suggest that the activity of enzymes involved in organic matter decomposition was contingent upon root\u2013mycorrhizal\u2013microbial interactions. Using our experimental data in a decomposition simulation model, we show that root\u2013mycorrhizal\u2013microbial interactions may have longer-term legacy effects on soil carbon sequestration. Overall, our study suggests that roots stimulate microbial activity in the short term, but contribute to soil carbon storage over longer periods of time.", "keywords": ["2. Zero hunger", "roots", "13. Climate action", "simulation model", "carbon dynamics", "Rhizosphere", "stable isotope", "plant-soil (belowground) interactions", "15. Life on land", "extra-cellular enzyme activity", "mycorrhizae"], "contacts": [{"organization": "Moore, Jessica A. M., Jiang, Jiang, Patterson, Courtney M., Wang, Gangsheng, Mayes, Melanie A., Classen, Aim\u00e9e T.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.pb271"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.pb271", "name": "item", "description": "10.5061/dryad.pb271", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.pb271"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-09-14T00:00:00Z"}}, {"id": "10.5281/zenodo.15395350", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:08Z", "type": "Dataset", "title": "NSW 25-ha Drone Survey Grid", "description": "NSW 25-ha Drone Survey Grid This repository provides a 25-hectare (500m x 500m) resolution spatial grid for New South Wales. This grid layer was used to align systematic drone surveys and spatially structure binomial N-mixture models for estimating the abundance of koalas at the landscape-scale. It supports presence/absence and abundance frameworks and is suitable for use in large-scale ecological monitoring programs. The grid was used in the following study: Ryan, S.A., Southwell, D.M., Beranek, C.T., Clulow, J., Jordan, N.R., Witt, R.R., 2025.\u00a0Estimating the landscape-scale abundance of an arboreal folivore using thermal imaging drones and binomial N-mixture modellingBiological Conservation. Manuscript ID: 111207. https://doi.org/10.1016/j.biocon.2025.111207 \ud83d\udcd8 Abstract Estimating the abundance of wildlife populations at a landscape-scale is vital for conservation, but is often hampered by survey costs, data processing and imperfect detection. In this study, we developed a framework that combines a protocol for validating nocturnal thermal drone detections in real-time with N-mixture modelling to estimate the landscape-scale abundance of arboreal folivores. As a case study, we estimated the abundance of koalas (Phascolarctos cinereus) across seven reserves (673 km\u00b2) in New South Wales, Australia. We conducted thermal drone surveys of 208, 25-ha sites stratified across vegetation type and fire history, on average, three times over consecutive nights (range 1\u201312 repeats), between 18:00\u201304:00 h (May to September). All koala detections were validated by field personnel or in real-time with drones equipped with a thermal camera and searchlight. Koalas were detected on 245 occasions. We fitted N-mixture models to validated repeat count data to quantify the effect of site and observation variables on abundance and detectability. Using our top set of competing models, we estimated that 4357 koalas (95 % CI = 2319\u20138307) occupy the seven reserves, with a mean detection probability of 0.22 (95 % CI = 0.15\u20130.31) over all survey occasions. We found detection probability decreased with increases in relative humidity and temperature. Koala abundance was negatively associated with fire severity, elevation, tree height and soil clay content, and positively associated with available water content, forest cover and soil organic carbon. Our framework, which combines real-time field validated drone data while accounting for imperfect detection, improves the accuracy of abundance estimates for arboreal folivores across large-scales. \ud83d\udcc2 Contents Grid_Albers_00500m_NSW_Polys.shp and associated filesA shapefile representing 25-ha (500 m \u00d7 500 m) grid cells across New South Wales. \ud83d\uddfa\ufe0f Spatial Details CRS: GDA94 / Australian Albers (EPSG:3577) Geometry Type: Polygon Cell Size: 500 m \u00d7 500 m (25 hectares) Total Features: 3,222,693 Attribute Fields: Id (unique cell identifier) Bounding Box (minx, miny, maxx, maxy):(826250.0, \u20134212250.0, 2082750.0, \u20133181250.0) \u2705 Intended Applications Thermal drone survey planning Spatial alignment of repeatable wildlife monitoring Koala and arboreal mammal detection Binomial or Poisson N-mixture model design Landscape-scale ecological stratification \u26a0\ufe0f Data Use and Licensing This grid layer was provided by Allen Mcilwee (NSW Government) and is published with permission as open-access supplementary material to support the following paper: Ryan, S.A., Southwell, D.M., Beranek, C.T., Clulow, J., Jordan, N.R., Witt, R.R. (2025)Estimating the landscape-scale abundance of an arboreal folivore using thermal imaging drones and binomial N-mixture modellingBiological Conservation. Manuscript ID: 111207. https://doi.org/10.1016/j.biocon.2025.111207 The dataset is made available to support open ecological research and systematic drone survey planning in New South Wales.\u00a0 Users applying this grid for survey or monitoring purposes in NSW are encouraged to submit resulting species detection records to NSW BioNet to contribute to state-wide biodiversity data and conservation efforts.", "keywords": ["spatial grid", "wildlife monitoring", "25-ha grid", "New South Wales", "koala", "spatial layer", "thermal drone survey", "abundance modelling"]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15395350"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15395350", "name": "item", "description": "10.5281/zenodo.15395350", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15395350"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-06-04T00:00:00Z"}}, {"id": "10.5281/zenodo.5574882", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:38Z", "type": "Report", "created": "2020-03-09", "title": "Hyperspectral imaging for high resolution mapping of soil profile organic carbon distribution in an Austrian Alpine landscape", "description": "

&lt;p&gt;Studies on soil organic carbon (SOC) stocks mostly focus on topsoils (&lt; 30 cm). However, 30 to 63% of the SOC are stored in the subsoils (30 to 100 cm), and the factors controlling SOC storage in subsoils may be substantially different than in topsoils. The low mean SOC content in subsoils makes its quantification and characterization challenging. Thus, new approaches are required to depict the SOC stocks distribution in full soil profile. Hyperspectral imaging of soil core samples can provide high spatial resolution of the vertical distribution of SOC in a soil profile. The main objective of the ongoing study, within the Horizon 2020 European Project Circular Agronomics, is to apply laboratory hyperspectral imaging with a variety of machine learning approaches for the mapping of OC distribution in undisturbed soil cores. Soil cores were collected down to a depth of one meter in grasslands of 15 organic farms located in the Lungau Valley, in Austria. Some samples were divided into five depths in the field for classical bulk soil measurements (total carbon and nitrogen, texture, pH, EC and bulk density) on disturbed samples. Undisturbed soil cores were sliced vertically for laboratory hyperspectral imaging in the range of Vis-NIR (400-1000 nm). We were able to reveal the hotspots of OC and map the OC distribution in soil profile by applying a variety of machine learning approaches (i.e. partial least square and random forest regression) as a function of spectral responses. A digital elevation model was further exploited to investigate the effects of topographical factors such as elevation, aspect and slope on SOC profile distribution. Landsat 8 data were also used to depict the spatial variability of land insensitive cover/vegetation in study area.&lt;/p&gt;

", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Vis-NIR imaging spectroscopy", " Alpine grassland", " Digital elevation model", " Subsoils"], "contacts": [{"organization": "YASER OSTOVARI, K\u00f6ppend\u00f6rfer, Baptist, Guigue, Julien, Van Groenigen, Jan Willem, Creamer, Rachel, Guggenberger, Thomas, Grassauer, Florian, Hobley, Eleanor, Ferron, Laura, Martens, Henk, K\u00f6gel-Knabner, Ingrid, Vidal, Alix,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.5574882"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.5574882", "name": "item", "description": "10.5281/zenodo.5574882", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.5574882"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-23T00:00:00Z"}}, {"id": "10.5281/zenodo.7856487", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:54Z", "type": "Dataset", "title": "HiLSS Project", "description": "This\u00a0repository is periodically updated. Historic Landscape and Soil Sustainability (MSCA-IF-2019 - Individual Fellowships) The HiLSS Project aims to investigate the relationships between sustainability and landscape heritage with particular reference to soil loss and degradation over the long term. The project will take a multidisciplinary approach that combines archaeology, Historical Landscape Characterisation (HLC), geosciences, and computer-based geospatial analysis (GIS - Geographical Information Systems) and modelling (RUSLE - Revisited Universal Soil Loss Equation). The research objectives of the HiLSS project are to quantify the impact of human activities during the Late Holocene in order to create spatial models which can inform the development of sustainable conservation strategies for rural landscape heritage. This project will focus on two mountainous regions that present historical and cultural similarities but located in different climatic zones of Europe (1- Tuscan-Emilian Apennines, Italy; 2- Northern-mid Galicia, Spain). In previous HLC studies, land-use has been evaluated from the perspective of cultural heritage, whereas RUSLE have used it as a proxy for the land-cover of an area and its effect on soil erosion. The HiLSS project will propose an innovative methodology that combines both the historic/cultural values and the environmental values of land-use to inform development of a model for the sustainable conservation. By considering the different agricultural land-use HLC types in GIS-RUSLE modelling, it will be possible to quantify the effect on soil loss for each HLC type and consequently to devise more environmentally sustainable management for each type. Environmental sustainability and historic landscape conservation are typically treated as two separate fields, but the HiLSS project will develop a transformative model for interdisciplinary research, proposing a new way to embrace both cultural and natural values as components of the same landscape management plans. HLC_RUSLE.zip The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: 'Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023)'. List of files included in HLC_RUSLE.zip: R_script_code named 'HLC_RUSLE'\u00a0in .rmd format Output folder: Figures folder: .png products of the R script code Rasters\u00a0folder: .png products of the R script code Tables\u00a0folder: .pdf\u00a0products of the R script code GeoTiff folder (.TIFF file format): Regional RUSLE\u00a0Data GPKG:\u00a0HLC dataset\u00a0and\u00a0Region Of Interest file in .gpkg format Spatial statistics to reveal patterns and connections in the historic landscape The R script code was developed by dr. F. Brandolini (Newcastle University, UK) to accompany the paper: '\u00a0F.\u00a0Brandolini & S.\u00a0Turner\u00a0(2022)\u00a0Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy),\u00a0Journal of Maps,\u00a0DOI:\u00a010.1080/17445647.2022.2088305.\u00a0'. It is available at:\u00a0https://doi.org/10.5281/zenodo.5907229 Supplementary material_Land _SI_Historic Landscape Evolution.zip Supplementary Materials to accompaing\u00a0the paper:\u00a0The evolution of historic agroforestry landscape in the Northern Apennines (Italy) and its consequences for slope geomorphic processes, submitted to\u00a0Land,\u00a0Special Issue\u00a0Historic Landscape Transformation. Project_Publications.zip List of .pdf file included in the folder:\u00a0 1) Brandolini F, Domingo-Ribas G, Zerboni A and Turner S. A Google Earth Engine-enabled Python approach for the identification of anthropogenic palaeo-landscape features [version 2; peer review: 2 approved, 1 approved with reservations]. Open Res Europe 2021,\u00a01:22\u00a0(https://doi.org/10.12688/openreseurope.13135.2) 2) Brandolini F., Turner S.\u00a0 2022 - Revealing patterns and connections in the historic landscape of the northern Apennines (Vetto, Italy), \u00a0Journal of Maps,\u00a0 (https://doi.org/10.1080/17445647.2022.2088305) 3) Brandolini, F., Kinnaird, T.C., Srivastava, A., Turner S. 2023 -\u00a0Modelling the impact of historic landscape change on soil erosion and degradation. Sci Rep 13, 4949 (2023), (https://doi.org/10.1038/s41598-023-31334-z) 4)\u00a0Brandolini, F., Compostella, C., Pelfini, M., and Turner, S. 2023 - 'The Evolution of Historic Agroforestry Landscape in the Northern Apennines (Italy) and Its Consequences for Slope Geomorphic Processes' Land 12, no. 5: 1054. (https://doi.org/10.3390/land12051054)", "keywords": ["2. Zero hunger", "13. Climate action", "Landscape Archaeology", "11. Sustainability", "RUSLE", "USPED", "15. Life on land", "Historic Landscape Characterisation", "Soil Sustainability", "Soil Erosion Modelling", "12. Responsible consumption"], "contacts": [{"organization": "Brandolini Filippo", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.7856487"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.7856487", "name": "item", "description": "10.5281/zenodo.7856487", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.7856487"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-10T00:00:00Z"}}, {"id": "3129983189", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:27:41Z", "type": "Journal Article", "created": "2021-02-23", "title": "Using NDVI for the assessment of canopy cover in agricultural crops within modelling research", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "0106 biological sciences", "Meta-analysis", "Canopy cover", "NDVI", "Crop modelling", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences"]}, "links": [{"href": "https://doi.org/3129983189"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Computers%20and%20Electronics%20in%20Agriculture", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3129983189", "name": "item", "description": "3129983189", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3129983189"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2006.01.012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:37Z", "type": "Journal Article", "created": "2006-04-18", "title": "Soil Organic Carbon (Soc) Dynamics With And Without Residue Incorporation In Relation To Different Nitrogen Fertilisation Rates", "description": "Abstract Crop residue incorporation is recognised as a simple way to increase C input into the soil, with positive effects on C sequestration from the atmosphere. However, in some long-term experiments, a lack of response to soil C input levels has been observed as a consequence of saturation phenomena and/or interactions between C input and fertilisation. This paper analyses the outcomes of a long-term experiment in north-eastern Italy that started in 1966 and is still ongoing, where residue incorporation is compared with residue removal, over a range of mineral N fertilisations. A general decrease of SOC content was observed in the first 10\u00a0years of the experiment, followed by an approach to a steady state. However, SOC content differed markedly according to residue management and, in plots with residue incorporation, to N fertilisation. Considering 20\u00a0years as a compromise period for reaching a new equilibrium after a land-use change, the sequestration rate of residue incorporation in comparison with removal resulted as 0.17 t ha \u2212\u00a01 of C per year. The measured data were then simulated with Century, a model based on first-order decomposition kinetic, to evaluate if the data could be interpreted by this kind of decomposition process. Model performances were good in most cases, but overestimated SOC decomposition in the more limiting situations for C and N inputs. A possible explanation is given for this behaviour, involving a feed-back effect of the microbial community.", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Soil organic carbon; Residue incorporation; Nitrogen fertilisation; Century model; Feed-back effect"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2006.01.012"}, {"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.2006.01.012", "name": "item", "description": "10.1016/j.geoderma.2006.01.012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2006.01.012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-11-01T00:00:00Z"}}, {"id": "10.1002/2015wr018233", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:04Z", "type": "Journal Article", "created": "2016-04-20", "title": "Modeling soil evaporation efficiency in a range of soil and atmospheric conditions using a meta\u2010analysis approach", "description": "Abstract

A meta\uffe2\uff80\uff90analysis data\uffe2\uff80\uff90driven approach is developed to represent the soil evaporative efficiency (SEE) defined as the ratio of actual to potential soil evaporation. The new model is tested across a bare soil database composed of more than 30 sites around the world, a clay fraction range of 0.02\uffe2\uff80\uff930.56, a sand fraction range of 0.05\uffe2\uff80\uff930.92, and about 30,000 acquisition times. SEE is modeled using a soil resistance (rss) formulation based on surface soil moisture (\uffce\uffb8) and two resistance parameters and \uffce\uffb8efolding. The data\uffe2\uff80\uff90driven approach aims to express both parameters as a function of observable data including meteorological forcing, cut\uffe2\uff80\uff90off soil moisture value at which SEE=0.5, and first derivative of SEE at , named . An analytical relationship between and is first built by running a soil energy balance model for two extreme conditions with rss\uffe2\uff80\uff89=\uffe2\uff80\uff890 and using meteorological forcing solely, and by approaching the middle point from the two (wet and dry) reference points. Two different methods are then investigated to estimate the pair either from the time series of SEE and \uffce\uffb8 observations for a given site, or using the soil texture information for all sites. The first method is based on an algorithm specifically designed to accomodate for strongly nonlinear relationships and potentially large random deviations of observed SEE from the mean observed . The second method parameterizes as a multi\uffe2\uff80\uff90linear regression of clay and sand percentages, and sets to a constant mean value for all sites. The new model significantly outperformed the evaporation modules of ISBA (Interaction Sol\uffe2\uff80\uff90Biosph\uffc3\uffa8re\uffe2\uff80\uff90Atmosph\uffc3\uffa8re), H\uffe2\uff80\uff90TESSEL (Hydrology\uffe2\uff80\uff90Tiled ECMWF Scheme for Surface Exchange over Land), and CLM (Community Land Model). It has potential for integration in various land\uffe2\uff80\uff90surface schemes, and real calibration capabilities using combined thermal and microwave remote sensing data. 90 t ha\u22121) was estimated for the lowlands of Slovakia, and the lowest (< 50 t ha\u22121) for the shallow and stony soils of mountain regions. When aggregated to 78 administrative regions at LAU1 level, the area-weighted averages ranged between 39.20 t ha\u22121 and 80.0 t ha\u22121, with the highest values (> 65 t ha\u22121) being in LAU1 regions in the south-west, south-east, and north of Slovakia where arable land is most prevalent. Total SOC storage in 0\u201330cm topsoil of agricultural land in Slovakia was estimated at 118.39 Mt, with two-thirds of this amount stored in arable soils in 33 south-west, south-east, and south LAU1 administrative regions. As there is no alternative and up-to-date dataset on topsoil SOC content in Slovakia, the upscaling algorithm presented in this study is an important step toward utilizing CMS-P data for sub-national SOC inventories. It may also offer a new way of providing inputs to help predict future or alternative regional topsoil SOC accumulation trajectories in Slovakian agricultural land using process-based or statistical models.", "keywords": ["2. Zero hunger", "Multiple soil classes", "Geographical regionalization", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "630", "Environmental sciences", "13. Climate action", "Upscaling of point measurements", "Soil organic carbon inventory", "11. Sustainability", "Soil indicators", "0401 agriculture", " forestry", " and fisheries", "GE1-350", "Soil organic carbon modelling", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/19278/1/1-s2.0-S2667010023001397-main.pdf"}, {"href": "https://doi.org/10.1016/j.envc.2023.100816"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Challenges", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envc.2023.100816", "name": "item", "description": "10.1016/j.envc.2023.100816", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envc.2023.100816"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2020.118510", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:35Z", "type": "Journal Article", "created": "2020-09-01", "title": "Tree species effects on topsoil carbon stock and concentration are mediated by tree species type, mycorrhizal association, and N-fixing ability at the global scale", "description": "Open AccessSelection of appropriate tree species is an important forest management decision that may affect sequestration of carbon (C) in soil. However, information about tree species effects on soil C stocks at the global scale remains unclear. Here, we quantitatively synthesized 850 observations from field studies that were conducted in a common garden or monoculture plantations to assess how tree species type (broadleaf vs. conifer), mycorrhizal association (arbuscular mycorrhizal (AM) vs. ectomycorrhizal (ECM)), and N-fixing ability (N-fixing vs. non-N-fixing), directly and indirectly, affect topsoil (with a median depth of 10 cm) C concentration and stock, and how such effects were influenced by environmental factors such as geographical location and climate. We found that (1) tree species type, mycorrhizal association, and N-fixing ability were all important factors affecting soil C, with lower forest floor C stocks under broadleaved (44%), AM (39%), or N-fixing (28%) trees respectively, but higher mineral soil C concentration (11%, 22%, and 156%) and stock (9%, 10%, and 6%) under broadleaved, AM, and N-fixing trees respectively; (2) tree species type, mycorrhizal association, and N-fixing ability affected forest floor C stock and mineral soil C concentration and stock directly or indirectly through impacting soil properties such as microbial biomass C and nitrogen; (3) tree species effects on mineral soil C concentration and stock were mediated by latitude, MAT, MAP, and forest stand age. These results reveal how tree species and their specific traits influence forest floor C stock and mineral soil C concentration and stock at a global scale. Insights into the underlying mechanisms of tree species effects found in our study would be useful to inform tree species selection in forest management or afforestation aiming to sequester more atmospheric C in soil for mitigation of climate change.", "keywords": ["2. Zero hunger", "Linear mixed model", "Climate", "Soil property", "Global", "04 agricultural and veterinary sciences", "15. Life on land", "Quantitative Biology - Quantitative Methods", "Meta-analysis", "13. Climate action", "FOS: Biological sciences", "0401 agriculture", " forestry", " and fisheries", "Forest floor", "Mineral soil", "Quantitative Methods (q-bio.QM)"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2020.118510"}, {"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.2020.118510", "name": "item", "description": "10.1016/j.foreco.2020.118510", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2020.118510"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-12-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2022.120355", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:35Z", "type": "Journal Article", "created": "2022-06-22", "title": "Do mycorrhizal symbionts drive latitudinal trends in photosynthetic carbon use efficiency and carbon sequestration in boreal forests?", "description": "There is evidence that carbon fluxes and stocks decrease with increasing latitude in boreal forests, suggesting a reduction in carbon use efficiency. While vegetation and soil carbon dynamics have been widely studied, the empirical finding that ectomycorrhizal fungi (ECM) become more abundant towards the north has not been quantitatively linked to carbon use efficiency. We formulated a conceptual model of combined fine-root and ECM carbon use efficiency (CUE) as NPP/GPP (net primary production/gross primary production). For this, we included the mycorrhiza as gains in plant NPP but considered the extramatrical hyphae as well as exudates as losses. We quantified the carbon processes across a latitudinal gradient using published eco-physiological and morphological measurements from boreal coniferous forests. In parallel, we developed two CUE models using large-scale empirical measurements amended with established models. All models predicted similar latitudinal trends in vegetation CUE and net ecosystem production (NEP). CUE in the ECM model declined on average by 0.1 from latitude 60 to 70 with overall mean 0.390 +/- 0.037. NEP declined by 200 g m(-2) yr(-1) with mean 171 +/- 79.4 g m(-2) yr(-)(1). ECM had no significant effect on predicted soil carbon. Our findings suggest that ECM can use a significant proportion of the carbon assimilated by vegetation and hence be an important driver of the decline in CUE at higher latitudes. Our model suggests the quantitative contribution of ECM to soil carbon to be less important but any possible implications through litter quality remain to be assessed. The approach provides a simple proxy of ECM processes for regional C budget models and estimates.", "keywords": ["Soil C balance", "570", "550", "Forest Science", "hiilen kierto", "Carbon residence time", "Carbon use efficiency", "Forestry", "Carbon allocation", "hiilensidonta", "15. Life on land", "ta4112", "13. Climate action", "maaper\u00e4geologia", "Net ecosystem production", "Soil C:N ratio", "Mycorrhiza", "Model"]}, "links": [{"href": "https://pub.epsilon.slu.se/31150/1/makela-a-et-al-20230622.pdf"}, {"href": "https://doi.org/10.1016/j.foreco.2022.120355"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2022.120355", "name": "item", "description": "10.1016/j.foreco.2022.120355", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2022.120355"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "d8fa6be4c2dbbabe6ed71474eaec2622", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:32:02Z", "type": "Report", "title": "T\u00fcrkiye`de b\u00f6lgesel rekabet g\u00fcc\u00fcn\u00fcn \u00f6l\u00e7\u00fcm\u00fc ve rekabet\u00e7ili\u011fin g\u00f6\u00e7 \u00fczerine etkisi", "description": "Open Access96", "keywords": ["Competition", "Competitive power", "Migrations", "Regional competitiveness", "B\u00f6lgesel Rekabet\u00e7ilik", " B\u00f6lgesel Rekebat\u00e7ilik Endeksi", " G\u00f6\u00e7", " Panel Veri Analizi", " Co\u011frafi A\u011f\u0131rl\u0131kl\u0131 Regresyon", "Economics", "Panel data models", "Regional competitiveness index", "Ekonomi"], "contacts": [{"organization": "Kurnaz, Emre", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/d8fa6be4c2dbbabe6ed71474eaec2622"}, {"rel": "self", "type": "application/geo+json", "title": "d8fa6be4c2dbbabe6ed71474eaec2622", "name": "item", "description": "d8fa6be4c2dbbabe6ed71474eaec2622", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/d8fa6be4c2dbbabe6ed71474eaec2622"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "056534c0-b8b9-4cc6-8578-871e9710bcd5", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.33, 51.53], [12.33, 53.52], [14.99, 53.52], [14.99, 51.53], [12.33, 51.53]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the BonaRes Module A-Project - BonaRes - I4S's research activities.\" Although every care has been taken in preparing and testing the data, the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the BonaRes Module A-Project - BonaRes - I4S and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The BonaRes Module A-Project - BonaRes - I4S and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-07-04", "type": "Service", "created": "2024-06-12", "language": "eng", "title": "Web Map Service of the dataset 'Soil data I4S Boo\u00dfen experiment 2020-2021'", "description": "This Web Map Service includes spatial information used by datasets 'Soil data I4S Boo\u00dfen experiment 2020-2021'", "formats": [{"name": "CSV"}], "keywords": ["infoMapAccessService", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index", "Soil", "crop management", "crop modelling", "fertilization", "crop monitoring", "soil dynamics", "yields", "leaf area index"], "contacts": [{"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Pablo Rosso", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Pablo.rosso@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "ZALF", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": null}]}, {"name": "Siyu Huang", "organization": "ZALF", "position": null, "roles": ["dataCurator"], "phones": [{"value": null}], "emails": [{"value": "siyu.huang@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0009-0000-8713-5490", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Soil"}, {"id": "crop management"}, {"id": "crop modelling"}, {"id": "fertilization"}, {"id": "crop monitoring"}, {"id": "soil dynamics"}, {"id": "yields"}, {"id": "leaf area index"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=c48a62ac-3a63-4a92-9786-ad18702bf24b", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/I4S/ID_5401_Boossen_Brandenburg_2010_2021_samplepoint_1/MapServer/WMSServer?request=GetCapabilities&service=WMS"}, {"rel": "self", "type": "application/geo+json", "title": "056534c0-b8b9-4cc6-8578-871e9710bcd5", "name": "item", "description": "056534c0-b8b9-4cc6-8578-871e9710bcd5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/056534c0-b8b9-4cc6-8578-871e9710bcd5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-04T00:00:00Z"}}, {"id": "10.1002/2015gb005239", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:04Z", "type": "Journal Article", "created": "2015-12-19", "title": "Toward More Realistic Projections Of Soil Carbon Dynamics By Earth System Models", "description": "Abstract

Soil carbon (C) is a critical component of Earth system models (ESMs), and its diverse representations are a major source of the large spread across models in the terrestrial C sink from the third to fifth assessment reports of the Intergovernmental Panel on Climate Change (IPCC). Improving soil C projections is of a high priority for Earth system modeling in the future IPCC and other assessments. To achieve this goal, we suggest that (1) model structures should reflect real\uffe2\uff80\uff90world processes, (2) parameters should be calibrated to match model outputs with observations, and (3) external forcing variables should accurately prescribe the environmental conditions that soils experience. First, most soil C cycle models simulate C input from litter production and C release through decomposition. The latter process has traditionally been represented by first\uffe2\uff80\uff90order decay functions, regulated primarily by temperature, moisture, litter quality, and soil texture. While this formulation well captures macroscopic soil organic C (SOC) dynamics, better understanding is needed of their underlying mechanisms as related to microbial processes, depth\uffe2\uff80\uff90dependent environmental controls, and other processes that strongly affect soil C dynamics. Second, incomplete use of observations in model parameterization is a major cause of bias in soil C projections from ESMs. Optimal parameter calibration with both pool\uffe2\uff80\uff90 and flux\uffe2\uff80\uff90based data sets through data assimilation is among the highest priorities for near\uffe2\uff80\uff90term research to reduce biases among ESMs. Third, external variables are represented inconsistently among ESMs, leading to differences in modeled soil C dynamics. We recommend the implementation of traceability analyses to identify how external variables and model parameterizations influence SOC dynamics in different ESMs. Overall, projections of the terrestrial C sink can be substantially improved when reliable data sets are available to select the most representative model structure, constrain parameters, and prescribe forcing fields.

", "keywords": ["550", "LAND MODELS", "Oceanography", "HETEROTROPHIC RESPIRATION", "01 natural sciences", "Atmospheric Sciences", "LITTER DECOMPOSITION", "ORGANIC-CARBON", "Geoinformatics", "GLOBAL CLIMATE-CHANGE", "DATA-ASSIMILATION", "Meteorology & Atmospheric Sciences", "TEMPERATURE SENSITIVITY", "CMIP5", "MICROBIAL MODELS", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "500", "Earth system models", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "TERRESTRIAL ECOSYSTEMS", "Climate Action", "Geochemistry", "Climate change impacts and adaptation", "realistic projections", "13. Climate action", "recommendations", "Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "soil carbon dynamics", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Climate Change Impacts and Adaptation", "Environmental Sciences", "PARAMETER-ESTIMATION"]}, "links": [{"href": "https://escholarship.org/content/qt1pw7g2r2/qt1pw7g2r2.pdf"}, {"href": "https://doi.org/10.1002/2015gb005239"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Biogeochemical%20Cycles", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2015gb005239", "name": "item", "description": "10.1002/2015gb005239", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2015gb005239"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.1002/2016JF004060", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:04Z", "type": "Journal Article", "created": "2017-03-06", "title": "Investigation of rock fragmentation during rockfalls and rock avalanches via 3-D discrete element analyses", "description": "Abstract

This paper investigates the characteristics of dynamic rock fragmentation and its influence on the postfailure fragment trajectory. A series of numerical simulations by discrete element method (DEM) were performed for a simple rock block and slope geometry, where a particle agglomerate of prismatic shape is released along a sliding plane and subsequently collides onto a flat horizontal plane at a sharp kink point. The rock block is modeled as an assembly of bonded spherical particles with fragmentation arising from bond breakages. Bond strength and stiffness were calibrated against available experimental data. We analyzed how dynamic fragmentation occurs at impact, together with the generated fragment size distributions and consequently their runout for different slope topographies. It emerges that after impact, the vertical momentum of the granular system decreases sharply to nil, while the horizontal momentum increases suddenly and then decreases. The sudden boost of horizontal momentum can effectively facilitate the transport of fragments along the bottom floor. The rock fragmentation intensity is associated with the input energy and increases quickly with the slope angle. Gentle slopes normally lead to long spreading distance and large fragments, while steep slopes lead to high momentum boosts and impact forces, with efficient rock fragmentation and fine deposits. The fragment size decreases, while the fracture stress and fragment number both increase with the impact loading strain rate, supporting the experimental observations. The fragment size distributions can be well fitted by the Weibull's distribution function.

", "keywords": ["550", "DEM; dynamic fragmentation; loading rate; momentum boost; rock avalanche; runout;", "13. Climate action", "0211 other engineering and technologies", "02 engineering and technology", "Fragmentation", " rockslide", " rockavalanche", " DEM", " numerical modeling", " runout", "551", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016JF004060"}, {"href": "https://eprints.ncl.ac.uk/fulltext.aspx?url=237479/388C5B83-7098-4BA3-A221-B7B1CEFCC63B.pdf&pub_id=237479"}, {"href": "https://doi.org/10.1002/2016JF004060"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Earth%20Surface", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2016JF004060", "name": "item", "description": "10.1002/2016JF004060", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2016JF004060"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-03-01T00:00:00Z"}}, {"id": "10.1002/2016JD026099", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:04Z", "type": "Journal Article", "created": "2017-04-07", "title": "Global soil moisture bimodality in satellite observations and climate models", "description": "Abstract

A new diagnostic metric based on soil moisture bimodality is developed in order to examine and compare soil moisture from satellite observations and Earth System Models. The methodology to derive this diagnostic is based on maximum likelihood estimator encoded into an iterative algorithm, which is applied to the soil moisture probability density function. This metric is applied to satellite data from the Advanced Microwave Scanning Radiometer for the Earth Observing System and global climate models data from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Results show high soil moisture bimodality in transitional climate areas and high latitudes, potentially associated with land\uffe2\uff80\uff90atmosphere feedback processes. When comparing satellite versus climate models, a clear difference in their soil moisture bimodality is observed, with systematically higher values in the case of CMIP5 models. These differences appear related to areas where land\uffe2\uff80\uff90atmospheric feedback may be overestimated in current climate models.

", "keywords": ["PREFERENTIAL STATES", "IMPACT", "MIXTURE", "SCHEME", "0207 environmental engineering", "NORMAL-DISTRIBUTIONS", "02 engineering and technology", "15. Life on land", "01 natural sciences", "PART I", "satellite soil moisture", "climate models", "13. Climate action", "Earth and Environmental Sciences", "LAND-SURFACE MODEL", "PRECIPITATION", "SDG 13 - Climate Action", "CMIP5", "ATMOSPHERE COUPLING EXPERIMENT", "land-atmosphere interactions", "soil moisture", "bimodality", "SYSTEM", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016JD026099"}, {"href": "https://doi.org/10.1002/2016JD026099"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2016JD026099", "name": "item", "description": "10.1002/2016JD026099", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2016JD026099"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-04-27T00:00:00Z"}}, {"id": "10.1002/2017JD027346", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:04Z", "type": "Journal Article", "created": "2017-12-28", "title": "Soil Moisture-Temperature Coupling in a Set of Land Surface Models", "description": "Abstract

The land surface controls the partitioning of water and energy fluxes and therefore plays a crucial role in the climate system. The coupling between soil moisture and air temperature, in particular, has been shown to affect the severity and occurrence of temperature extremes and heat waves. Here we study soil moisture\uffe2\uff80\uff90temperature coupling in five land surface models, focusing on the terrestrial segment of the coupling in the warm season. All models are run off\uffe2\uff80\uff90line over a common period with identical atmospheric forcing data, in order to allow differences in the results to be attributed to the models' partitioning of energy and water fluxes. Coupling is calculated according to two semiempirical metrics, and results are compared to observational flux tower data. Results show that the locations of the global hot spots of soil moisture\uffe2\uff80\uff90temperature coupling are similar across all models and for both metrics. In agreement with previous studies, these areas are located in transitional climate regimes. The magnitude and local patterns of model coupling, however, can vary considerably. Model coupling fields are compared to tower data, bearing in mind the limitations in the geographical distribution of flux towers and the differences in representative area of models and in situ data. Nevertheless, model coupling correlates in space with the tower\uffe2\uff80\uff90based results (r = 0.5\uffe2\uff80\uff930.7), with the multimodel mean performing similarly to the best\uffe2\uff80\uff90performing model. Intermodel differences are also found in the evaporative fractions and may relate to errors in model parameterizations and ancillary data of soil and vegetation characteristics.

", "keywords": ["ENVIRONMENT SIMULATOR JULES", "FLUXES", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "CO2 EXCHANGE", "models", "WATER", "SCALE", "Research Articles", "0105 earth and related environmental sciences", "land surface", "CARBON-DIOXIDE EXCHANGE", "eartH2Observe", "temperature", "15. Life on land", "DECIDUOUS FOREST", "CLIMATE", "EVAPORATION", "VARIABILITY", "13. Climate action", "Earth and Environmental Sciences", "BALANCE", "land surface models", "SENSIBLE HEAT", "land-atmosphere interactions", "soil moisture"]}, "links": [{"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2017JD027346"}, {"href": "https://doi.org/10.1002/2017JD027346"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Atmospheres", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2017JD027346", "name": "item", "description": "10.1002/2017JD027346", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2017JD027346"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-02-01T00:00:00Z"}}, {"id": "10.1002/bse.2725", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:06Z", "type": "Journal Article", "created": "2021-01-15", "title": "How to innovate business models for a circular bio\u2010economy?", "description": "Abstract

Shifting from a linear to a circular bio\uffe2\uff80\uff90economy requires new business models. The objective was getting insights into the uncharted research field of business model innovation for a circular and sustainable bio\uffe2\uff80\uff90economy within the agrifood sector. Eight European cases valorising agricultural waste and by\uffe2\uff80\uff90products by closing loops or cascading were studied regarding their innovation drivers and elements, via interviews, on\uffe2\uff80\uff90site visits and secondary data. In this domain, the findings highlight that business model innovations are depending on the (i) macro\uffe2\uff80\uff90environmental institutional\uffe2\uff80\uff90legal conditions and market trends, (ii) driven by internal economic, environmental and/or social objectives, but especially strongly linked to (iii) other actors often from different sectors seeking synergies and (iv) value co\uffe2\uff80\uff90creation via combined organisational and technological innovations. Business models for a circular bio\uffe2\uff80\uff90economy thus depend on various action levels and need radical combined organisational and technological innovations for a most efficient usage of agricultural waste and by\uffe2\uff80\uff90products. This also means new business configurations instead of linear innovation strategies currently still being dominant due to economic viability.

", "keywords": ["330", "9. Industry and infrastructure", "circular economy", "bio-economy", "650", "sustainability", "7. Clean energy", "innovation", "[SHS]Humanities and Social Sciences", "12. Responsible consumption", "agricultural waste and by-products", "13. Climate action", "11. Sustainability", "business models", "[SHS] Humanities and Social Sciences", "co-creation"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/bse.2725"}, {"href": "https://doi.org/10.1002/bse.2725"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Business%20Strategy%20and%20the%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/bse.2725", "name": "item", "description": "10.1002/bse.2725", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/bse.2725"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-12T00:00:00Z"}}, {"id": "10.1002/ajb2.70086", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:05Z", "type": "Journal Article", "created": "2025-08-12", "title": "Moss\u2010cyanobacteria associations: A model for studying symbiotic interactions and evolutionary strategies", "keywords": ["forests", "mosses", "non-vascular plants", "nitrogen fixation", "symbioses", "On the Nature of Things", "cyanobacteria", "model organisms"], "contacts": [{"organization": "Kathrin Rousk", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1002/ajb2.70086"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/American%20Journal%20of%20Botany", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ajb2.70086", "name": "item", "description": "10.1002/ajb2.70086", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ajb2.70086"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-08-01T00:00:00Z"}}, {"id": "10.1002/ece3.5244", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:07Z", "type": "Journal Article", "created": "2019-06-10", "title": "Evolution of interdisciplinarity in biodiversity science", "description": "Abstract

The study of biodiversity has grown exponentially in the last thirty years in response to demands for greater understanding of the function and importance of Earth's biodiversity and finding solutions to conserve it. Here, we test the hypothesis that biodiversity science has become more interdisciplinary over time. To do so, we analyze 97,945 peer\uffe2\uff80\uff90reviewed articles over a twenty\uffe2\uff80\uff90two\uffe2\uff80\uff90year time period (1990\uffe2\uff80\uff932012) with a continuous time dynamic model, which classifies articles into concepts (i.e., topics and ideas) based on word co\uffe2\uff80\uff90occurrences. Using the model output, we then quantify different aspects of interdisciplinarity: concept diversity, that is, the diversity of topics and ideas across subdisciplines in biodiversity science, subdiscipline diversity, that is, the diversity of subdisciplines across concepts, and network structure, which captures interactions between concepts and subdisciplines. We found that, on average, concept and subdiscipline diversity in biodiversity science were either stable or declining, patterns which were driven by the persistence of rare concepts and subdisciplines and a decline in the diversity of common concepts and subdisciplines, respectively. Moreover, our results provide evidence that conceptual homogenization, that is, decreases in temporal \uffce\uffb2 concept diversity, underlies the observed trends in interdisciplinarity. Together, our results reveal that biodiversity science is undergoing a dynamic phase as a scientific discipline that is consolidating around a core set of concepts. Our results suggest that progress toward addressing the biodiversity crisis via greater interdisciplinarity during the study period may have been slowed by extrinsic factors, such as the failure to invest in research spanning across concepts and disciplines. However, recent initiatives such as the Intergovernmental Science\uffe2\uff80\uff90Policy Platform on Biodiversity and Ecosystem Services (IPBES) may attract broader support for biodiversity\uffe2\uff80\uff90related issues and hence interdisciplinary approaches to address scientific, political, and societal challenges in the coming years.

", "keywords": ["0301 basic medicine", "bibliographic analysis", "topic models", "0303 health sciences", "03 medical and health sciences", "conceptual homogenization", "interdisciplinarity", "Ecology", "13. Climate action", "15. Life on land", "Academic Practice in Ecology and Evolution", "QH540-549.5", "biodiversity"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.5244"}, {"href": "https://doi.org/10.1002/ece3.5244"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecology%20and%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/ece3.5244", "name": "item", "description": "10.1002/ece3.5244", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ece3.5244"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-06-01T00:00:00Z"}}, {"id": "10.1002/eco.1810", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:07Z", "type": "Journal Article", "created": "2016-11-10", "title": "Increased complementarity in water-limited environments in Scots pine and European beech mixtures under climate change", "description": "Abstract

Management of mixedwoods is advocated as an effective adaptation strategy to increase ecosystem resiliency in the context of climate change. Although mixedwoods have been shown to have greater resource use efficiency relative to pure stands, considerable uncertainty remains with respect to the underlying ecological processes. We explored species interactions in Scots pine/European beech mixedwoods with the process\uffe2\uff80\uff90based model FORECAST Climate. The model was calibrated for two contrasting forests in the southwestern Pyrenees (northern Spain): a wet Mediterranean site at 625\uffc2\uffa0m.a.s.l. and a subalpine site at 1335\uffc2\uffa0m.a.s.l. Predicted mixedwood yield was higher than that for beech stands but lower than pine stands. When simulating climate change, mixedwood yield was reduced at the Mediterranean site (\uffe2\uff88\uff9233%) but increased at the subalpine site (+11%). Interaction effects were enhanced as stands developed. Complementarity dominated the Mediterranean stand but neutral or net competition dominated the subalpine stand, which had higher stand density and water availability. Reduced water demand and consumption, increased canopy interception, and improved water\uffe2\uff80\uff90use efficiency in mixtures compared to beech stands, suggest a release of beech intraspecific competition. Beech also facilitated pine growth through better litter quality, nonsymbiotic nitrogen fixation, and above\uffe2\uff80\uff90 and belowground stratification, leading to higher foliar nitrogen content and deeper canopies in pines. In conclusion, mixtures may improve water availability and use efficiency for beech and light interception for pine, the main limiting factors for each species, respectively. Encouraging pine\uffe2\uff80\uff93beech mixtures could be an effective adaptation to climate change in drought\uffe2\uff80\uff90prone sites in the Mediterranean region.

", "keywords": ["0106 biological sciences", "2. Zero hunger", "Interspecific competition", "13. Climate action", "Fagus sylvatica", "Mixedwoods", "Pinus sylvestris", "15. Life on land", "Species complementarity", "Intraspecific competition", "01 natural sciences", "6. Clean water", "Ecological modelling"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/eco.1810"}, {"href": "https://doi.org/10.1002/eco.1810"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecohydrology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/eco.1810", "name": "item", "description": "10.1002/eco.1810", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/eco.1810"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-25T00:00:00Z"}}, {"id": "10.1002/eqe.3063", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:08Z", "type": "Journal Article", "created": "2018-06-01", "title": "A frequency-dependent and intensity-dependent macroelement for reduced order seismic analysis of soil-structure interacting systems", "description": "Summary

The computational demand of the soil\uffe2\uff80\uff90structure interaction analysis for the design and assessment of structures, as well as for the evaluation of their life\uffe2\uff80\uff90cycle cost and risk exposure, has led the civil engineering community to the development of a variety of methods toward the model order reduction of the coupled soil\uffe2\uff80\uff90structure dynamic system in earthquake regions. Different approaches have been proposed in the past as computationally efficient alternatives to the conventional finite element model simulation of the complete soil\uffe2\uff80\uff90structure domain, such as the nonlinear lumped spring, the macroelement method, and the substructure partition method. Yet no approach was capable of capturing simultaneously the frequency\uffe2\uff80\uff90dependent dynamic properties along with the nonlinear behavior of the condensed segment of the overall soil\uffe2\uff80\uff90structure system under strong earthquake ground motion, thus generating an imbalance between the modeling refinement achieved for the soil and the structure. To this end, a dual frequency\uffe2\uff80\uff90dependent and intensity\uffe2\uff80\uff90dependent expansion of the lumped parameter modeling method is proposed in the current paper, materialized through a multiobjective algorithm, capable of closely approximating the behavior of the nonlinear dynamic system of the condensed segment. This is essentially the extension of an established methodology, also developed by the authors, in the inelastic domain. The efficiency of the proposed methodology is validated for the case of a bridge foundation system, wherein the seismic response is comparatively assessed for both the proposed method and the detailed finite element model. The above expansion is deemed a computationally efficient and reliable method for simultaneously considering the frequency and amplitude dependence of soil\uffe2\uff80\uff90foundation systems in the framework of nonlinear seismic analysis of soil\uffe2\uff80\uff90structure interaction systems.

", "keywords": ["Lumped parameter model", "Macroelement", "Model order reduction", "0211 other engineering and technologies", "Soil-structure interaction", "02 engineering and technology", "620", "0201 civil engineering"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/eqe.3063"}, {"href": "https://doi.org/10.1002/eqe.3063"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earthquake%20Engineering%20%26amp%3B%20Structural%20Dynamics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/eqe.3063", "name": "item", "description": "10.1002/eqe.3063", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/eqe.3063"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-01T00:00:00Z"}}, {"id": "10.1002/eqe.3286", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:08Z", "type": "Journal Article", "created": "2020-06-22", "title": "Spatiotemporal seismic hazard and risk assessment of M9.0 megathrust earthquake sequences of wood\u2010frame houses in Victoria, British Columbia, Canada", "description": "Summary

Megathrust earthquake sequences, comprising mainshocks and triggered aftershocks along the subduction interface and in the overriding crust, can impact multiple buildings and infrastructure in a city. The time between the mainshocks and aftershocks usually is too short to retrofit the structures; therefore, moderate\uffe2\uff80\uff90size aftershocks can cause additional damage. To have a better understanding of the impact of aftershocks on city\uffe2\uff80\uff90wide seismic risk assessment, a new simulation framework of spatiotemporal seismic hazard and risk assessment of future M9.0 sequences in the Cascadia subduction zone is developed. The simulation framework consists of an epidemic\uffe2\uff80\uff90type aftershock sequence (ETAS) model, ground\uffe2\uff80\uff90motion model, and state\uffe2\uff80\uff90dependent seismic fragility model. The spatiotemporal ETAS model is modified to characterise aftershocks of large and anisotropic M9.0 mainshock ruptures. To account for damage accumulation of wood\uffe2\uff80\uff90frame houses due to aftershocks in Victoria, British Columbia, Canada, state\uffe2\uff80\uff90dependent fragility curves are implemented. The new simulation framework can be used for quasi\uffe2\uff80\uff90real\uffe2\uff80\uff90time aftershock hazard and risk assessments and city\uffe2\uff80\uff90wide post\uffe2\uff80\uff90event risk management.

", "keywords": ["Mainshock-aftershock sequences", "550", "seismic risk", "Damage accumulation", "seismic hazard", "Cascadia", "City-wide seismic risk", "02 engineering and technology", "Wood-frame houses", "01 natural sciences", "aftershocks", "0201 civil engineering", "earthquake clustering", "13. Climate action", "Cascadia subduction earthquakes", "Spatiotemporal ETAS seismicity model", "earthquakes", "State-dependent aftershock fragility curves", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1002/eqe.3286"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earthquake%20Engineering%20%26amp%3B%20Structural%20Dynamics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/eqe.3286", "name": "item", "description": "10.1002/eqe.3286", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/eqe.3286"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-06-21T00:00:00Z"}}, {"id": "10.1002/essoar.10507003.1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:08Z", "type": "Journal Article", "created": "2021-12-10", "title": "Embracing Data Incompleteness for Better Earthquake Forecasting", "description": "Abstract

We propose two methods to calibrate the parameters of the epidemic\uffe2\uff80\uff90type aftershock sequence (ETAS) model based on expectation maximization (EM) while accounting for temporal variation of catalog completeness. The first method allows for model calibration on long\uffe2\uff80\uff90term earthquake catalogs with temporal variation of the completeness magnitude,mc. This calibration technique is beneficial for long\uffe2\uff80\uff90term probabilistic seismic hazard assessment (PSHA), which is often based on a mixture of instrumental and historical catalogs. The second method generalizes the concept ofmc, considering rate\uffe2\uff80\uff90 and magnitude\uffe2\uff80\uff90dependent detection probability, and allows for self\uffe2\uff80\uff90consistent estimation of ETAS parameters and high\uffe2\uff80\uff90frequency detection incompleteness. With this approach, we aim to address the potential biases in parameter calibration due to short\uffe2\uff80\uff90term aftershock incompleteness, embracing incompleteness instead of avoiding it. Using synthetic tests, we show that both methods can accurately invert the parameters of simulated catalogs. We then use them to estimate ETAS parameters for California using the earthquake catalog since 1932. To explore how model calibration, inclusion of small events, and accounting for short\uffe2\uff80\uff90term incompleteness affect earthquakes' predictability, we systematically compare variants of ETAS models based on the second approach in pseudo\uffe2\uff80\uff90prospective forecasting experiments for California. Our proposed model significantly outperforms the ETAS null model, with decreasing information gain for increasing target magnitude threshold. We find that the ability to include small earthquakes for simulation of future scenarios is the primary driver of the improvement and that accounting for incompleteness is necessary. Our results have significant implications for our understanding of earthquake interaction mechanisms and the future of seismicity forecasting.

", "keywords": ["Physics - Geophysics", "13. Climate action", "0103 physical sciences", "earthquake forecasting", "ETAS", "FOS: Physical sciences", "short-term aftershock incompleteness", "data incompleteness", "01 natural sciences", "model inversion", "data incompleteness; model inversion; ETAS; earthquake forecasting", "Geophysics (physics.geo-ph)", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1002/essoar.10507003.1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Geophysical%20Research%3A%20Solid%20Earth", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/essoar.10507003.1", "name": "item", "description": "10.1002/essoar.10507003.1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/essoar.10507003.1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-11T00:00:00Z"}}, {"id": "10.1002/hyp.14966", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:09Z", "type": "Journal Article", "created": "2023-09-15", "title": "Testing CASE: A new event\u2010based Morgan\u2010Morgan\u2010Finney\u2010type erosion model for different rainfall experimental scenarios", "description": "Abstract

Every application of soil erosion models brings the need of proper parameterisation, that is, finding physically or conceptually plausible parameter values that allow a model to reproduce measured values. No universal approach for model parameterisation, calibration and validation exists, as it depends on the model, spatial and temporal resolution and the nature of the datasets used. We explored some existing options for parameterisation, calibration and validation for erosion modelling exemplary with a specific dataset and modelling approach. A new Morgan\uffe2\uff80\uff90Morgan\uffe2\uff80\uff90Finney (MMF)\uffe2\uff80\uff90type model was developed, representing a balanced position between physically\uffe2\uff80\uff90based and empirical modelling approaches. The resulting model termed \uffe2\uff80\uff98calculator for soil erosion\uffe2\uff80\uff99 (CASE), works in a spatially distributed way on the timescale of individual rainfall events. A dataset of 142 high\uffe2\uff80\uff90intensity rainfall experiments in Central Europe (AT, HU, IT, CZ), covering various slopes, soil types and experimental designs was used for calibration and validation with a modified Monte\uffe2\uff80\uff90Carlo approach. Subsequently, model parameter values were compared to parameter values obtained by alternative methods (measurements, pedotransfer functions, literature data). The model reproduced runoff and soil loss of the dataset in the validation setting with R2adj of 0.89 and 0.76, respectively. Satisfactory agreement for the water phase was found, with calibrated saturated hydraulic conductivity (ksat) values falling within the interquartile range of ksat predicted with 14 different pedotransfer functions, or being within one order of magnitude. The chosen approach also well reflected specific experimental setups contained in the dataset dealing with the effects of consecutive rainfall and different soil water conditions. For the sediment phase of the tested model agreement between calibrated cohesion, literature values and field measurements were only partially in line. The methods we explored may specifically be interesting for use with other MMF\uffe2\uff80\uff90type models, or with similar datasets.High\uffe2\uff80\uff90resolution numerical weather prediction (NWP) simulations of heavy rainfall events are known to be strongly sensitive to the choice of the sub\uffe2\uff80\uff90grid scale parameterisation schemes. In the African continent, studies on such a choice at the convective\uffe2\uff80\uff90resolving scales are not numerous. By exploiting a state\uffe2\uff80\uff90of\uffe2\uff80\uff90the\uffe2\uff80\uff90art NWP model, the Weather Research and Forecasting (WRF) model, the sensitivity of the simulation of three heavy rainfall events in Sub\uffe2\uff80\uff90Saharan Africa to the microphysical (MP) and planetary boundary layer (PBL) schemes is studied. Validating the numerical outputs against rainfall satellite estimates, ground\uffe2\uff80\uff90based weather stations, radiosonde profiles and satellite\uffe2\uff80\uff90derived cloud\uffe2\uff80\uff90top temperature maps with an object\uffe2\uff80\uff90based tool, the best\uffe2\uff80\uff90performing setup is identified. In terms of heavy rainfall forecast location, it is found that the PBL scheme has a greater impact than the MP, which is shown to control the cloud\uffe2\uff80\uff90top temperature simulation. Among the schemes considered, the best performances are achieved with a six\uffe2\uff80\uff90class single\uffe2\uff80\uff90moment microphysical scheme and a non\uffe2\uff80\uff90local planetary boundary layer scheme which properly includes the vertical mixing by the large eddies in the atmosphere.

", "keywords": ["NWP model", "13. Climate action", "Africa", "WRF", "Africa; heavy rainfall; microphysics; MODE; NWP model; planetary boundary layer; WRF;", "heavy rainfall", "microphysics", "MODE", "01 natural sciences", "planetary boundary layer", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://re.public.polimi.it/bitstream/11311/1206957/1/Quart%20J%20Royal%20Meteoro%20Soc%20-%202021%20-%20Meroni%20-%20Sensitivity%20of%20some%20African%20heavy%20rainfall%20events%20to%20microphysics%20and%20planetary.pdf"}, {"href": "https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4033"}, {"href": "https://doi.org/10.1002/qj.4033"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Quarterly%20Journal%20of%20the%20Royal%20Meteorological%20Society", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/qj.4033", "name": "item", "description": "10.1002/qj.4033", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/qj.4033"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-01T00:00:00Z"}}, {"id": "10.1002/sae2.12031", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:16Z", "type": "Journal Article", "created": "2022-11-12", "title": "Frontiers in soil ecology\u2014Insights from the World Biodiversity Forum 2022", "description": "Abstract

Global change is affecting soil biodiversity and functioning across all terrestrial ecosystems. Still, much is unknown about how soil biodiversity and function will change in the future in response to simultaneous alterations in climate and land use, as well as other environmental drivers. It is crucial to understand the direct, indirect\uffc2\uffa0and interactive effects of global change drivers on soil communities and ecosystems across environmental contexts, not only today but also in the near future. This is particularly relevant for international efforts to tackle climate change like the Paris Agreement, and considering the failure to achieve the 2020 biodiversity targets, especially the target of halting soil degradation. Here, we outline the main frontiers related to soil ecology that were presented and discussed at the thematic sessions of the World Biodiversity Forum 2022 in Davos, Switzerland. We highlight multiple frontiers of knowledge associated with data integration, causal inference, soil biodiversity and function scenarios, critical soil biodiversity facets, underrepresented drivers, global collaboration, knowledge application and transdisciplinarity, as well as policy and public communication. These identified research priorities are not only of immediate interest to the scientific community but may also be considered in research priority programmes and calls for funding.Wind turbine fatigue estimation is based on time\uffe2\uff80\uff90consuming Monte Carlo simulations for various wind conditions, followed by cycle\uffe2\uff80\uff90counting procedures and the application of engineering damage models. The outputs of the fatigue simulations are large in volume and of high dimensionality, as they typically consist of estimates on finite\uffe2\uff80\uff90element computational meshes. The strain and stress tensor time series, which are the primary quantities of interest when considering the problem of fatigue estimation, are dictated by complex vibration characteristics due to the coupled effect of aerodynamics, structural dynamics, geometrically non\uffe2\uff80\uff90linear mechanics, and control. A Variational Auto\uffe2\uff80\uff90Encoder (VAE) is trained in order to model the probability distribution of the accumulated fatigue on the root cross\uffe2\uff80\uff90section of a simulated wind turbine blade. The VAE is conditioned on historical data that correspond to coarse wind\uffe2\uff80\uff90field measurement statistics, such as mean hub\uffe2\uff80\uff90height wind speed, standard deviation of hub\uffe2\uff80\uff90height wind speed and shear exponent. In the absence of direct measurements of structural loads, the proposed technique finds applications in making long\uffe2\uff80\uff90term probabilistic deterioration predictions from historical Supervisory, Control, and Data Acquisition (SCADA) data, while capturing the inherent aleatoric uncertainty due to the incomplete information on strain time series of the wind turbine structure, when only SCADA data statistics are available.

", "keywords": ["CVAE", "deep generative models", "high dimensional simulation outputs", "uncertainty quantification", "TJ807-830", "blade root fatigue", "conditional variational autoencoder", "SCADA", "wind turbine blade", "7. Clean energy", "Renewable energy sources"]}, "links": [{"href": "https://doi.org/10.1002/we.2621"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Wind%20Energy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/we.2621", "name": "item", "description": "10.1002/we.2621", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/we.2621"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-11T00:00:00Z"}}, {"id": "10.1007/978-3-031-12176-0_11", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:19Z", "type": "Report", "created": "2022-11-28", "title": "Integrating X-ray CT Data into Models", "description": "Open AccessXP is a Mar\u00eda Zambrano Fellow at the Public University of Navarra (UPNA) and acknowledges funding from the European Union - NextGenerationEU through the Spanish program 'Ayuda para la Recualificaci\u00f3n del Sistema Universitario Espa\u00f1ol'. AE acknowledges funding from Swiss National Science Foundation: Grants P2EZP2 175128 and P400PB_186751. TR was funded by ERC Consolidator grant 646809 DIMR.", "keywords": ["2. Zero hunger", "570", "550", "X-Ray computed tomography", "[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation", "Soil properties", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "15. Life on land", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation", "6. Clean water"], "contacts": [{"organization": "Portell, Xavier, Pot, Valerie, Ebrahimi, Ali, Monga, Olivier, Roose, Tiina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/978-3-031-12176-0_11"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/978-3-031-12176-0_11", "name": "item", "description": "10.1007/978-3-031-12176-0_11", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/978-3-031-12176-0_11"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.1007/s00267-013-0148-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:31Z", "type": "Journal Article", "created": "2013-08-12", "title": "Effect Of Nutrient Management Planning On Crop Yield, Nitrate Leaching And Sediment Loading In Thomas Brook Watershed", "description": "Government priorities on provincial Nutrient Management Planning (NMP) programs include improving the program effectiveness for environmental quality protection, and promoting more widespread adoption. Understanding the effect of NMP on both crop yield and key water-quality parameters in agricultural watersheds requires a comprehensive evaluation that takes into consideration important NMP attributes and location-specific farming conditions. This study applied the Soil and Water Assessment Tool (SWAT) to investigate the effects of crop and rotation sequence, tillage type, and nutrient N application rate on crop yield and the associated groundwater [Formula: see text] leaching and sediment loss. The SWAT model was applied to the Thomas Brook Watershed, located in the most intensively managed agricultural region of Nova Scotia, Canada. Cropping systems evaluated included seven fertilizer application rates and two tillage systems (i.e., conventional tillage and no-till). The analysis reflected cropping systems commonly managed by farmers in the Annapolis Valley region, including grain corn-based and potato-based cropping systems, and a vegetable-horticulture system. ANOVA models were developed and used to assess the effects of crop management choices on crop yield and two water-quality parameters (i.e., [Formula: see text] leaching and sediment loading). Results suggest that existing recommended N-fertilizer rate can be reduced by 10-25\u00a0%, for grain crop production, to significantly lower [Formula: see text] leaching (P\u00a0>\u00a00.05) while optimizing the crop yield. The analysis identified the nutrient N rates in combination with specific crops and rotation systems that can be used to manage [Formula: see text] leaching while balancing impacts on crop yields within the watershed.", "keywords": ["2. Zero hunger", "Analysis of Variance", "Conservation of Natural Resources", "Geologic Sediments", "Nitrates", "Agriculture", "04 agricultural and veterinary sciences", "Models", " Theoretical", "15. Life on land", "01 natural sciences", "6. Clean water", "Environmental Policy", "Nova Scotia", "13. Climate action", "Water Quality", "Humans", "0401 agriculture", " forestry", " and fisheries", "Fertilizers", "Groundwater", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1007/s00267-013-0148-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00267-013-0148-z", "name": "item", "description": "10.1007/s00267-013-0148-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00267-013-0148-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-08-13T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2017.07.064", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:05Z", "type": "Journal Article", "created": "2017-07-18", "title": "Response of soil dissolved organic matter to microplastic addition in Chinese loess soil", "description": "Plastic debris is accumulating in agricultural land due to the increased use of plastic mulches, which is causing serious environmental problems, especially for biochemical and physical properties of the soil. Dissolved organic matter (DOM) plays a central role in driving soil biogeochemistry, but little information is available on the effects of plastic residues, especially microplastic, on soil DOM. We conducted a soil-incubation experiment in a climate-controlled chamber with three levels of microplastic added to loess soil collected from the Loess Plateau in China: 0% (control, CK), 7% (M1) and 28% (M2) (w/w). We analysed the soil contents of dissolved organic carbon (DOC), dissolved organic nitrogen (DON), NH4+, NO3-, dissolved organic phosphorus (DOP), and PO43- and the activities of fluorescein diacetate hydrolase (FDAse) and phenol oxidase. The higher level of microplastic addition significantly increased the nutrient contents of the DOM solution. The lower level of addition had no significant effect on the DOM solution during the first seven days, but the rate of DOM decomposition decreased in M1 between days 7 and 30, which increased the nutrient contents. The microplastic facilitated the accumulation of high-molecular-weight humic-like material between days 7 and 30. The DOM solutions were mainly comprised of high-molecular-weight humic-like material in CK and M1 and of high-molecular-weight humic-like material and tyrosine-like material in M2. The Microplastic stimulated the activities of both enzymes. Microplastic addition thus stimulated enzymatic activity, activated pools of organic C, N, and P, and was beneficial for the accumulation of dissolved organic C, N and P.", "keywords": ["2. Zero hunger", "China", "Nitrogen", "Microplastic", "0211 other engineering and technologies", "Excitation-emission matrix (EEM)", "Agriculture", "Phosphorus", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Carbon", "6. Clean water", "Soil", "Dissolved organic carbon (DOC)", "Dissolved organic phosphorus (DOP)", "Models", " Chemical", "13. Climate action", "Dissolved organic nitrogen (DON)", "Organic Chemicals", "Plastics", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.chemosphere.2017.07.064"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Chemosphere", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.chemosphere.2017.07.064", "name": "item", "description": "10.1016/j.chemosphere.2017.07.064", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.chemosphere.2017.07.064"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-01T00:00:00Z"}}, {"id": "10.1007/s00484-016-1135-x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:42Z", "type": "Journal Article", "created": "2016-02-06", "title": "Influence of ground surface characteristics on the mean radiant temperature in urban areas", "description": "The effect of variations in land cover on mean radiant temperature (T mrt ) is explored through a simple scheme developed within the radiation model SOLWEIG. Outgoing longwave radiation is parameterised using surface temperature observations on a grass and an asphalt surface, whereas outgoing shortwave radiation is modelled through variations in albedo for the different surfaces. The influence of ground surface materials on T mrt is small compared to the effects of shadowing. Nevertheless, altering ground surface materials could contribute to a reduction in T mrt to reduce the radiant load during heat-wave episodes in locations where shadowing is not an option. Evaluation of the new scheme suggests that despite its simplicity it can simulate the outgoing fluxes well, especially during sunny conditions. However, it underestimates at night and in shadowed locations. One grass surface used to develop the parameterisation, with very different characteristics compared to an evaluation grass site, caused T mrt to be underestimated. The implications of using high temporal resolution (e.g. 15 minutes) meteorological forcing data under partly cloudy conditions are demonstrated even for fairly proximal sites.", "keywords": ["13. Climate action", "London", "11. Sustainability", "Sunlight", "Temperature", "Water", "Models", " Theoretical", "15. Life on land", "Poaceae", "01 natural sciences", "Hydrocarbons", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://centaur.reading.ac.uk/58036/1/IJB_Lindberg_2016.pdf"}, {"href": "http://link.springer.com/content/pdf/10.1007/s00484-016-1135-x"}, {"href": "https://doi.org/10.1007/s00484-016-1135-x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Journal%20of%20Biometeorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00484-016-1135-x", "name": "item", "description": "10.1007/s00484-016-1135-x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00484-016-1135-x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-02-06T00:00:00Z"}}, {"id": "10.1007/s10021-022-00802-4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:46Z", "type": "Journal Article", "created": "2022-12-12", "title": "Pulse, Shunt and Storage: Hydrological Contraction Shapes Processing and Export of Particulate Organic Matter in River Networks", "description": "Abstract

Streams and rivers act as landscape-scale bioreactors processing large quantities of terrestrial particulate organic matter (POM). This function is linked to their flow regime, which governs residence times, shapes organic matter reactivity and controls the amount of carbon (C) exported to the atmosphere and coastal oceans. Climate change impacts flow regimes by increasing both flash floods and droughts. Here, we used a modelling approach to explore the consequences of lateral hydrological contraction, that is, the reduction of the wet portion of the streambed, for POM decomposition and transport at the river network scale. Our model integrates seasonal leaf litter input as generator of POM, transient storage of POM on wet and dry streambed portions with associated decomposition and ensuing changes in reactivity, and transport dynamics through a dendritic river network. Simulations showed that the amount of POM exported from the river network and its average reactivity increased with lateral hydrological contraction, due to the combination of (1) low processing of POM while stored on dry streambeds, and (2) large shunting during flashy events. The sensitivity analysis further supported that high lateral hydrological contraction leads to higher export of higher reactivity POM, regardless of transport coefficient values, average reactivity of fresh leaf litter and differences between POM reactivity under wet and dry conditions. Our study incorporates storage in dry streambed areas into the pulse-shunt concept (Raymond and others in Ecology 97(1):5\uffe2\uff80\uff9316, 2016. https://doi.org/10.1890/14-1684.1), providing a mechanistic framework and testable predictions about leaf litter storage, transport and decomposition in fluvial networks.Managed grasslands have the potential to store carbon (C) and partially mitigate climate change. However, it remains difficult to predict potential C storage under a given soil or management practice. To study C storage dynamics due to long-term (1952\uffe2\uff80\uff932009) phosphorus (P) fertilizer and irrigation treatments in New Zealand grasslands, we measured radiocarbon (14C) in archived soil along with observed changes in C stocks to constrain a compartmental soil model. Productivity increases from P application and irrigation in these trials resulted in very similar C accumulation rates between 1959 and 2009. The \uffe2\uff88\uff8614C changes over the same time period were similar in plots that were both irrigated and fertilized, and only differed in a non-irrigated fertilized plot. Model results indicated that decomposition rates of fast cycling C (0.1 to 0.2\uffc2\uffa0year\uffe2\uff88\uff921) increased to nearly offset increases in inputs. With increasing P fertilization, decomposition rates also increased in the slow pool (0.005 to 0.008\uffc2\uffa0year\uffe2\uff88\uff921). Our findings show sustained, significant (i.e. greater than 4 per mille) increases in C stocks regardless of treatment or inputs. As the majority of fresh inputs remain in the soil for less than 10\uffc2\uffa0years, these long term increases reflect dynamics of the slow pool. Additionally, frequent irrigation was associated with reduced stocks and increased decomposition of fresh plant material. Rates of C gain and decay highlight trade-offs between productivity, nutrient availability, and soil C sequestration as a climate change mitigation strategy.Managing agricultural watersheds in an environmentally friendly manner necessitate the strategic implementation of well-targeted sustainable land management (SLM) practices that limit soil and nonpoint source pollution losses and translocation. Watershed-scale SLM-scenario modeling has the potential to identify efficient and effective management strategies from the field to the integrated landscape level. In a case study targeting a 66-hectare watershed in Petzenkirchen, Lower Austria, the Soil and Water Assessment Tool (SWAT) was utilized to evaluate a variety of locally adoptable SLM practices. SWAT was calibrated and validated (monthly) at the catchment outlet for flow, sediment, nitrate-nitrogen (NO3\uffe2\uff80\uff93N), ammonium nitrogen (NH4\uffe2\uff80\uff93N), and mineralized phosphorus (PO4\uffe2\uff80\uff93P) using SWATplusR. Considering the locally existing agricultural practices and socioeconomic and environmental factors of the research area, four conservation practices were evaluated: baseline scenario, contour farming (CF), winter cover crops (CC), and a combination of no-till and cover crops (NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC). The NT\uffe2\uff80\uff89+\uffe2\uff80\uff89CC SLM practice was found to be the most effective soil conservation practice in reducing soil loss by around 80%, whereas CF obtained the best results for decreasing the nutrient loads of NO3\uffe2\uff80\uff93N and PO4\uffe2\uff80\uff93P by 11% and 35%, respectively. The findings of this study imply that the setup SWAT model can serve the context-specific performance assessment and eventual promotion of SLM interventions that mitigate on-site land degradation and the consequential off-site environmental pollution resulting from agricultural nonpoint sources.