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": "10.2139/ssrn.5084742", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:13Z", "type": "Journal Article", "created": "2025-05-25", "title": "ZnO-nanostructured electrochemical sensor for efficient detection of glyphosate in water", "description": "Glyphosate is a widely used broad-spectrum herbicide for controlling grassy weeds, despite having potential health hazards. Herein, we report on a solid-state electrochemical sensor based on ZnO nanoparticles (ZnO NPs) for on-site detection of glyphosate. Accordingly, ZnO NPs was drop-cast on the surface of a disposable screen-printed carbon electrode. Eco-friendly ZnO NPs of only 7 nm crystallite sizes were obtained by green sol-gel synthesis using lemon (Citrus limon) waste aqueous extract as the green reducing and capping/stabilizing agent and Zn nitrate precursor as evidenced by scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction and diffuse reflectance. SEM confirmed successful electrode functionalization with the synthesized nanoparticles. Under laboratory conditions in acetate buffer (pH 5), the sensor demonstrated excellent selectivity and sensitivity, with a detection limit of 0.648 \u00b5M, a wide linear detection range (0.5 \u00b5M to 7.5 mM), and a rapid detection time of 30 min. When tested in river water, the sensor achieved a detection limit of 0.96 \u00b5M using differential pulse voltammetry. It also exceptionally tolerated interference from similar organophosphorus compounds and ions commonly found in river water. The excellent detection performance of the sensor was attributed to the strong coordination interactions between Zn atoms and phosphonate/carboxylate groups that are enhanced by a hydrogen bond at acidic pH, as determined by chemical calculations. This disposable sensor offers a cost-effective, efficient, and environmentally friendly solution for monitoring glyphosate in water systems.", "keywords": ["QD71-142", "Environmental water", "Eco-friendly ZnO nanoparticles", "Computational modeling", "Pesticides", "Eco-friendly ZnO nanoparticles;", "[SDV.MP] Life Sciences [q-bio]/Microbiology and Parasitology", "Analytical chemistry", "Sensor"]}, "links": [{"href": "https://doi.org/10.2139/ssrn.5084742"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Talanta%20Open", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2139/ssrn.5084742", "name": "item", "description": "10.2139/ssrn.5084742", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2139/ssrn.5084742"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-01T00:00:00Z"}}, {"id": "10.3389/fbuil.2017.00069", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:28Z", "type": "Journal Article", "created": "2017-12-07", "title": "Gaussian Process Time-Series Models for Structures under Operational Variability", "description": "Open AccessISSN:2297-3362", "keywords": ["metamodels", "random coefficient", "02 engineering and technology", "Engineering (General). Civil engineering (General)", "0201 civil engineering", "time-series models", "HT165.5-169.9", "Structural Health Monitoring", "Structural Health Monitoring; Gaussian Process Time-Series Models", "gaussian process", "TA1-2040", "Gaussian Process Time-Series Models", "uncertainty", "City planning"]}, "links": [{"href": "https://doi.org/10.3389/fbuil.2017.00069"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Built%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fbuil.2017.00069", "name": "item", "description": "10.3389/fbuil.2017.00069", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fbuil.2017.00069"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-08T00:00:00Z"}}, {"id": "10.3389/fpls.2019.00191", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:20:32Z", "type": "Journal Article", "created": "2019-02-22", "title": "Interannual and Seasonal Dynamics of Volatile Organic Compound Fluxes From the Boreal Forest Floor", "description": "In the northern hemisphere, boreal forests are a major source of biogenic volatile organic compounds (BVOCs), which drive atmospheric processes and lead to cloud formation and changes in the Earth's radiation budget. Although forest vegetation is known to be a significant source of BVOCs, the role of soil and the forest floor, and especially interannual variations in fluxes, remains largely unknown due to a lack of long-term measurements. Our aim was to determine the interannual, seasonal and diurnal dynamics of boreal forest floor volatile organic compound (VOC) fluxes and to estimate how much they contribute to ecosystem VOC fluxes. We present here an 8-year data set of forest floor VOC fluxes, measured with three automated chambers connected to the quadrupole proton transfer reaction mass spectrometer (quadrupole PTR-MS). The exceptionally long data set shows that forest floor fluxes were dominated by monoterpenes and methanol, with relatively comparable emission rates between the years. Weekly mean monoterpene fluxes from the forest floor were highest in spring and in autumn (maximum 59 and 86 \u03bcg m-2 h-1, respectively), whereas the oxygenated VOC fluxes such as methanol had highest weekly mean fluxes in spring and summer (maximum 24 and 79 \u03bcg m-2 h-1, respectively). Although the chamber locations differed from each other in emission rates, the inter-annual dynamics were very similar and systematic. Accounting for this chamber location dependent variability, temperature and relative humidity, a mixed effects linear model was able to explain 79-88% of monoterpene, methanol, acetone, and acetaldehyde fluxes from the boreal forest floor. The boreal forest floor was a significant contributor in the forest stand fluxes, but its importance varies between seasons, being most important in autumn. The forest floor emitted 2-93% of monoterpene fluxes in spring and autumn and 1-72% of methanol fluxes in spring and early summer. The forest floor covered only a few percent of the forest stand fluxes in summer.", "keywords": ["VOC EMISSIONS", "Plant Science", "ATMOSPHERIC OH", "01 natural sciences", "forest floor", "SB1-1110", "MONOTERPENE EMISSIONS", "vegetation", "biogenic volatile organic compound", "11. Sustainability", "SCOTS PINE", "EXCHANGE", "0105 earth and related environmental sciences", "decomposition", "CLIMATE-CHANGE", "seasonality", "temperature", "Plant culture", "Forestry", "15. Life on land", "SOIL", "MODEL", "Environmental sciences", "flux", "13. Climate action", "PTR-TOF", "METHANOL"]}, "links": [{"href": "https://doi.org/10.3389/fpls.2019.00191"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Plant%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fpls.2019.00191", "name": "item", "description": "10.3389/fpls.2019.00191", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fpls.2019.00191"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-22T00:00:00Z"}}, {"id": "10.5061/dryad.pb271", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:17Z", "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.14002493", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:22:09Z", "type": "Report", "title": "Pedotransfer Functions Versus Model Structure: What Drives Variance in Agro-Hydrological Model Results?", "description": "Pedotransfer functions (PTFs) are widely used empirical relationships to estimate soil hydraulic parameters. PTFs are usually derived from point soil samples analysed in the field or laboratory; thus, they contain uncertainties at different levels (i.e., from sampling and measuring techniques, as well as empirical approaches chosen to quantify relationships). When PTFs are used to parametrize agro-hydrological models, both the choice of PTF and the choice of the model may influence the simulation results. Both sources of variance (PTF choice and model structural differences) were found to be relevant in previous studies, but how they relate to each other has rarely been investigated. In this study, we addressed this research gap by conducting a systematic analysis of the variance in selected agro-hydrological model outputs (i.e., seepage water, soil water content, actual evapotranspiration, transpiration, biomass production) based on an ensemble of 18 PTFs applied to four agro-hydrological models, namely: APEX, CANDY, DAISY and SWAP. The models were calibrated for aboveground biomass and phenology of silage maize and evaluated using data of actual evapotranspiration, seepage water and soil water content obtained from a lysimeter facility in Switzerland. ANOVA-based variance partitioning was applied to attribute variance in model outputs to two uncertainty sources (PTF choice, model choice). Overall, we found that agro-hydrological model structural differences had a larger influence on the variance in model outputs than PTF differences. Further analyses undertaken per model showed that the sensitivity of the simulated outputs to the choice of PTF differed between the models; our results showed that the models integrating the Richards equation (SWAP, DAISY) were more sensitive to the choice of PTF than those using a reservoir cascade approach (APEX, CANDY). Our results also showed that simulated outputs using the mean of a PTF ensemble performed better than when using a single PTF, irrespective of the model and output variable. We therefore recommend using PTF ensembles in agro-hydrological modelling studies. The benefit of using large PTF ensembles is, however, likely to be reduced in larger ensembles of agro-hydrological models, as structural model uncertainties will dominate over PTF uncertainties, according to the four-member model ensemble investigated here.", "keywords": ["CANDY", "seepage", "DAISY", "model ensemble", "lysimeter", "SWAP", "evapotranspiration", "soil water", "APEX", "yield"], "contacts": [{"organization": "Turek, Maria Eliza, Pullens, Johannes, Meuer, Katharina, Moura-Lima, Edberto, Bano Mehdi-Schulz, Bano, Holzk\u00e4mper, Annelie,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.14002493"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.14002493", "name": "item", "description": "10.5281/zenodo.14002493", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.14002493"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-03-17T00:00:00Z"}}, {"id": "10.5281/zenodo.15395350", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:22:35Z", "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": "2026-05-23T16:23:05Z", "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": "<p>Studies on soil organic carbon (SOC) stocks mostly focus on topsoils (< 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.</p>
", "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": "2026-05-23T16:23:20Z", "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": "1887/4246123", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:24:51Z", "type": "Journal Article", "created": "2023-08-30", "title": "Inland Waters Increasingly Produce and Emit Nitrous Oxide", "description": "Nitrous oxide (N2O) is a long-lived greenhouse gas and currently contributes \u223c10% to global greenhouse warming. Studies have suggested that inland waters are a large and growing global N2O source, but whether, how, where, when, and why inland-water N2O emissions changed in the Anthropocene remains unclear. Here, we quantify global N2O formation, transport, and emission along the aquatic continuum and their changes using a spatially explicit, mechanistic, coupled biogeochemistry-hydrology model. The global inland-water N2O emission increased from 0.4 to 1.3 Tg N yr-1 during 1900-2010 due to (1) growing N2O inputs mainly from groundwater and (2) increased inland-water N2O production, largely in reservoirs. Inland waters currently contribute 7 (5-10)% to global total N2O emissions. The highest inland-water N2O emissions are typically in and downstream of reservoirs and areas with high population density and intensive agricultural activities in eastern and southern Asia, southeastern North America, and Europe. The expected continuing excessive use of nutrients, dam construction, and development of suboxic conditions in aging reservoirs imply persisting high inland-water N2O emissions.", "keywords": ["Inland waters", "N2O cycling", " long-term temporal changes", "long-term temporal changes", "Nitrous oxide", "Asia", " Southern", "Nitrous Oxide", "Integrated process-based modeling", "Water", "Agriculture", "General Chemistry", "15. Life on land", "N2O cycling", "6. Clean water", "Greenhouse gas emission", "13. Climate action", "Environmental Chemistry", "14. Life underwater", "Spatial distributions", "closed N2O budget"]}, "links": [{"href": "https://doi.org/1887/4246123"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%20%26amp%3B%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1887/4246123", "name": "item", "description": "1887/4246123", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1887/4246123"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-30T00:00:00Z"}}, {"id": "10.1002/hyp.14966", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:03Z", "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": "AbstractEvery 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.\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.agrformet.2022.108823", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:28Z", "type": "Journal Article", "created": "2022-01-20", "title": "Timing leaf senescence : a generalized additive models for location, scale and shape approach", "description": "Accurate estimations of phenophases in deciduous trees are important to understand forest ecosystems and their feedback on the climate. In particular, the timing of leaf senescence is of fundamental importance to trees' nutrient stoichiometry and drought tolerance and therefore to trees' vigor and fecundity. Nevertheless, there is no integrated view on the significance, and direction, of seasonal trends in leaf senescence, especially for years characterized by extreme weather events. Difficulties in the acquisition and analyses of hierarchical data can account for this. We collected four years of chlorophyll content index (CCI) measurements in thirty-eight individuals of four deciduous tree species (Betula pendula, Fagus sylvatica, Populus tremula and Quercus robur) in Belgium, Norway and Spain, and analyzed these data using generalized additive models for location, scale and shape (GAMLSS). As a result, (I) the phenological strategy and seasonal trend of leaf senescence in these tree species could be clarified for exceptionally dry and warm years, and (II) the daily average (air) temperature, global radiation, and vapor pressure deficit could be established as main drivers behind the variation in the timing of the senescence transition date. Our results show that the onset of the re-organization phase in the leaf senescence, which we approximated and defined as local minima in the second derivative of a CCI graph, was in all species mainly negatively affected by the average temperature, global radiation and vapor pressure deficit. All together the variables explained 89 to 98% of the variability in the leaf senescence timing. An additional finding is that the generalized beta type 2 and generalized gamma distributions are well suited to model the chlorophyll content index, while the senescence transition date can be modeled using the normal-exponential-student-t, generalized gamma and zero-inflated Box-Cox Cole and Green distributions for beech, oak and birch, and poplar, respectively.", "keywords": ["0106 biological sciences", "Physics", "ta1183", "Silver birch", "15. Life on land", "01 natural sciences", "Generalized additive models for location", "Scale and shape", "European beech", "Pedunculate oak", "Chemistry", "Leaf senescence", "13. Climate action", "European aspen", "ta1181", "0101 mathematics", "Biology"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2022.108823"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2022.108823", "name": "item", "description": "10.1016/j.agrformet.2022.108823", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2022.108823"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-01T00:00:00Z"}}, {"id": "10.5194/gmd-10-1903-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:21:32Z", "type": "Journal Article", "created": "2017-05-17", "title": "GLEAM\u00a0v3: satellite-based land evaporation and root-zone soil moisture", "description": "
Abstract. The Global Land Evaporation Amsterdam Model (GLEAM) is a set of algorithms dedicated to the estimation of terrestrial evaporation and root-zone soil moisture from satellite data. Ever since its development in 2011, the model has been regularly revised, aiming at the optimal incorporation of new satellite-observed geophysical variables, and improving the representation of physical processes. In this study, the next version of this model (v3) is presented. Key changes relative to the previous version include (1)\uffc2\uffa0a revised formulation of the evaporative stress, (2)\uffc2\uffa0an optimized drainage algorithm, and (3)\uffc2\uffa0a new soil moisture data assimilation system. GLEAM\uffc2\uffa0v3 is used to produce three new data sets of terrestrial evaporation and root-zone soil moisture, including a 36-year data set spanning 1980\uffe2\uff80\uff932015, referred to as v3a (based on satellite-observed soil moisture, vegetation optical depth and snow-water equivalent, reanalysis air temperature and radiation, and a multi-source precipitation product), and two satellite-based data sets. The latter share most of their forcing, except for the vegetation optical depth and soil moisture, which are based on observations from different passive and active C- and L-band microwave sensors (European Space Agency Climate Change Initiative, ESA CCI) for the v3b data set (spanning 2003\uffe2\uff80\uff932015) and observations from the Soil Moisture and Ocean Salinity (SMOS) satellite in the v3c data set (spanning 2011\uffe2\uff80\uff932015). Here, these three data sets are described in detail, compared against analogous data sets generated using the previous version of GLEAM (v2), and validated against measurements from 91 eddy-covariance towers and 2325 soil moisture sensors across a broad range of ecosystems. Results indicate that the quality of the v3 soil moisture is consistently better than the one from v2: average correlations against in situ surface soil moisture measurements increase from 0.61 to 0.64 in the case of the v3a data set and the representation of soil moisture in the second layer improves as well, with correlations increasing from 0.47 to 0.53. Similar improvements are observed for the v3b and c data sets. Despite regional differences, the quality of the evaporation fluxes remains overall similar to the one obtained using the previous version of GLEAM, with average correlations against eddy-covariance measurements ranging between 0.78 and 0.81 for the different data sets. These global data sets of terrestrial evaporation and root-zone soil moisture are now openly available at www.GLEAM.eu and may be used for large-scale hydrological applications, climate studies, or research on land\uffe2\uff80\uff93atmosphere feedbacks.
", "keywords": ["TERRESTRIAL WATER FLUXES", "QE1-996.5", "PONDEROSA PINE", "CARBON-DIOXIDE EXCHANGE", "WACMOS-ET PROJECT", "TRIPLE COLLOCATION ANALYSIS", "DATA ASSIMILATION SYSTEM", "Geology", "15. Life on land", "01 natural sciences", "DECIDUOUS FOREST", "EDDY-COVARIANCE", "PARAMETER RETRIEVAL MODEL", "13. Climate action", "Earth and Environmental Sciences", "ENERGY-BALANCE", "14. Life underwater", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://gmd.copernicus.org/articles/10/1903/2017/gmd-10-1903-2017.pdf"}, {"href": "https://doi.org/10.5194/gmd-10-1903-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscientific%20Model%20Development", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/gmd-10-1903-2017", "name": "item", "description": "10.5194/gmd-10-1903-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/gmd-10-1903-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-08-05T00:00:00Z"}}, {"id": "10.1016/j.chemosphere.2017.07.064", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:47Z", "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": "10.1016/j.compag.2021.106038", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:47Z", "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": ["0106 biological sciences", "2. Zero hunger", "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/10.1016/j.compag.2021.106038"}, {"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": "10.1016/j.compag.2021.106038", "name": "item", "description": "10.1016/j.compag.2021.106038", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.compag.2021.106038"}, {"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.energy.2018.09.034", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:56Z", "type": "Journal Article", "created": "2018-09-08", "title": "Spatio-temporal assessment of integrating intermittent electricity in the EU and Western Balkans power sector under ambitious CO2 emission policies", "description": "This work investigates a power dispatch system that aims to supply the power demand of the EU and Western Balkans (EUWB) based on low-carbon generation units, enabled by the expansion of biomass, solar, and wind based electricity. A spatially explicit techno-economic optimization tool simulates the EUWB power sector to explore the dispatch of new renewable electricity capacity on a EUWB scale, under ambitious CO2 emission policies. The results show that utility-scale deployment of renewable electricity is feasible and can contribute about 9\u201339% of the total generation mix, for a carbon price range of 0\u2013200 \u20ac/tCO2 and with the existing capacities of the cross-border transmission network. Even without any explicit carbon incentive (carbon price of 0 \u20ac/tCO2), more than 35% of the variable power in the most ambitious CO2 mitigation scenario (carbon price of 200 \u20ac/tCO2) would be economically feasible to deploy. Spatial assessment of bio-electricity potential (based on forest and agriculture feedstock) showed limited presence in the optimal generation mix (0\u20136%), marginalizing its effect as baseload. Expansion of the existing cross-border transmission capacities helps even out the variability of solar and wind technologies, but may also result in lower installed RE capacity in favor of state-of-the-art natural gas with relatively low sensitivity to increasing carbon taxes. A sensitivity analysis of the investment cost, even under a low-investment scenario and at the high end of the CO2 price range, showed natural gas remains at around 11% of the total generation, emphasizing how costly it would be to achieve the final percentages toward a 100% renewable system.", "keywords": ["Optimization", "Renewable electricity", "330", "0211 other engineering and technologies", "02 engineering and technology", "Decarbonization", "7. Clean energy", "12. Responsible consumption", "Geospatial modeling", "13. Climate action", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "Intermittency", "Power transmission"]}, "links": [{"href": "http://pure.iiasa.ac.at/id/eprint/15514/1/Spatio-temporal%20assessment%20of%20integrating%20RE%20in%20EU-WB%20power%20sector_postprint.pdf"}, {"href": "https://pure.iiasa.ac.at/id/eprint/15514/1/Spatio-temporal%20assessment%20of%20integrating%20RE%20in%20EU-WB%20power%20sector_postprint.pdf"}, {"href": "https://doi.org/10.1016/j.energy.2018.09.034"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Energy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.energy.2018.09.034", "name": "item", "description": "10.1016/j.energy.2018.09.034", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.energy.2018.09.034"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2011.06.036", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:10Z", "type": "Journal Article", "created": "2011-07-27", "title": "Carbon Accumulation In The Biomass And Soil Of Different Aged Secondary Forests In The Humid Tropics Of Costa Rica", "description": "Open AccessMinisterio de Ciencia y Tecnolog\u00eda, Costa Rica", "keywords": ["0106 biological sciences", "NATURAL REGENERATION", "PLANTACIONES", "Carbon pools", "Tree plantations", "Biomass models", "ARBOLES", "NATURAL RESERVES", "15. Life on land", "01 natural sciences", "Environmental science", "BIOMASS", "CARBON", "PLANTATIONS", "RESERVAS NATURALES", "Medio Ambiente", "REGENERACION NATURAL", "TREES", "CARBONO", "Succession age", "Natural regeneration", "BIOMASA"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2011.06.036"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2011.06.036", "name": "item", "description": "10.1016/j.foreco.2011.06.036", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2011.06.036"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-10-01T00:00:00Z"}}, {"id": "10.1016/j.envsoft.2020.104770", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:01Z", "type": "Journal Article", "created": "2020-06-16", "title": "METRIC-GIS: An advanced energy balance model for computing crop evapotranspiration in a GIS environment", "description": "A novel ArcGIS toolbox that applies the Mapping Evapotranspiration with Internalized Calibration model was developed and tested in a semi-arid environment. The tool, named METRIC-GIS, facilitates the pre-processing operations and the automatic identification of potential calibration and pixels review. The energy balance components obtained from METRIC-GIS were contrasted with those from the original METRIC version (R2 = 1; RMSE = 0 W m\u22122 or mm day\u22121 for ETc) Additionally, an irrigated scheme located at southern Spain was considered for assessing Kc variability in the maize fields with METRIC-GIS. The identified spatial variability was mainly due to differences in irrigation regimes, crop management practices, and planting and harvesting dates. This information is critical for developing irrigation advisory strategies that contribute to the area sustainability. The developed tool facilitates data input introduction and reduces computational time by up to 50%, providing a more user-friendly alternative to other existing platforms that use METRIC. This research was funded by the projects RTA2011-00015-00-00 funded by the National Institute for Agricultural and Food Research and Technology (INIA) and FEDER 2014\u20132020 \u201cPrograma Operativo de Crecimiento Inteligente\u201d and by the European Commission with project \u201cSHui\u201d (grant number: 773903). Additional funding support was provided by the Nebraska Agricultural Experiment Station and Idaho Agricultural Experiment Station.", "keywords": ["550", "satellite", "evapotranspiration", "0207 environmental engineering", "02 engineering and technology", "630", "Modelling", "Water requirements", "modelling", "remote sensing", "Natural Resources and Conservation", "crop coefficient", "2. Zero hunger", "Evapotranspiration", "Natural Resources Management and Policy", "Crop coefficients", "water requirements", "04 agricultural and veterinary sciences", "Remote sensing", "15. Life on land", "6. Clean water", "Satellite", "Crop coefficient", "0401 agriculture", " forestry", " and fisheries", "Other Environmental Sciences", "Environmental Sciences"]}, "links": [{"href": "https://www.iris.unict.it/bitstream/20.500.11769/552482/2/Environmental%20modelling%20and%20software%202020.pdf"}, {"href": "https://doi.org/10.1016/j.envsoft.2020.104770"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Modelling%20%26amp%3B%20Software", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envsoft.2020.104770", "name": "item", "description": "10.1016/j.envsoft.2020.104770", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envsoft.2020.104770"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-09-01T00:00:00Z"}}, {"id": "10.1016/j.jenvman.2023.118532", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:27Z", "type": "Journal Article", "created": "2023-07-14", "title": "Predicting spatiotemporal soil organic carbon responses to management using EPIC-IIASA meta-models", "description": "The management of Soil Organic Carbon (SOC) is a critical component of both nature-based solutions for climate change mitigation and global food security. Agriculture has contributed substantially to a reduction in global SOC through cultivation, thus there has been renewed focus on management practices which minimize SOC losses and increase SOC gain as pathways towards maintaining healthy soils and reducing net greenhouse gas emissions. Mechanistic models are frequently used to aid in identifying these pathways due to their scalability and cost-effectiveness. Yet, they are often computationally costly and rely on input data that are often only available at coarse spatial resolutions. Herein, we build statistical meta-models of a multifactorial crop model in order to both (a) obtain a simplified model response and (b) explore the biophysical determinants of SOC responses to management and the geospatial heterogeneity of SOC dynamics across Europe. Using 5600 unique simulations of crop growth from the gridded Environmental Policy Integrated Climate-based Gridded Agricultural Model (EPIC-IIASA GAM) covering 86,000 simulation units across Europe, we build multiple polynomial regression ensemble meta-models for unique combinations of climate and soil across Europe in order to predict SOC responses to varying management intensities. We find that our biophysically-explicit meta models are highly accurate (R2\u00a0=\u00a00.97) representations of the full mechanistic model and can be used in lieu of the full EPIC-IIASA GAM model for the estimation of SOC responses to cropland management. Model stratification by means of climate and soil clustering improved the performance of the meta-models compared to the full EU-scale model. In regional and local validations of the meta-model predictions, we find that the meta-models largely capture broad SOC dynamics such as the linear nature of SOC responses to residue application, yet they often underestimate the magnitude of SOC responses to management. Furthermore, we find notable differences between the results from the biophysically-specific models throughout Europe, which point to spatially-distinct SOC responses to management choices such as nitrogen fertilizer application rates and residue retention that illustrate the potential for these models to be used for future management applications. While more accurate input data, calibration, and validation will be needed to accurately predict SOC change, we demonstrate the use of our meta-models for biophysical cluster and field study scale analyses of broad SOC dynamics with basically zero fine-tuning of the models needed. This work provides a framework for simplifying large-scale agricultural models and identifies the opportunities for using these meta-models for assessing SOC responses to management at a variety of scales.", "keywords": ["2. Zero hunger", "Europe", "Soil", "Carbon Sequestration", "Models", " Statistical", "550", "13. Climate action", "11. Sustainability", "Agriculture", "15. Life on land", "630", "Carbon"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/18928/1/Ippolito_et_al_manuscript_clean.pdf"}, {"href": "https://doi.org/10.1016/j.jenvman.2023.118532"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jenvman.2023.118532", "name": "item", "description": "10.1016/j.jenvman.2023.118532", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jenvman.2023.118532"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-01-01T00:00:00Z"}}, {"id": "d8fa6be4c2dbbabe6ed71474eaec2622", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:29:18Z", "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": "10.1016/j.agwat.2023.108391", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:31Z", "type": "Journal Article", "created": "2023-06-02", "title": "Optimizing relative root-zone water depletion thresholds to maximize yield and water productivity of winter wheat using AquaCrop", "description": "Determination of relative root-zone water depletion (RRWD) thresholds to trigger irrigation is crucial to create optimal irrigation schedules targeting maximum yield and/or water productivity with limited water supply for a crop. In this study, a numerical procedure to determine RRWD thresholds was developed through coupling AquaCrop software with genetic-simplex algorithms. Using a two-year field lysimetric experiment for winter wheat conducted in the North China Plain (NCP), AquaCrop adequately simulated canopy cover, final aboveground biomass, grain yield, seasonal evapotranspiration, and soil water storage, with the normalized root mean squared error (NRMSE) smaller than 15 % and determination coefficient (R2) larger than 0.84. The global optimum range of RRWD thresholds was preliminarily determined using the genetic algorithm, and subsequently final RRWD thresholds were optimized by fine tuning using the simplex algorithm. The RRWD threshold combinations (composed of the RRWD thresholds to trigger different sequential irrigation events) for varying number of irrigation events (i.e.1\u20134) were optimized based on 39 years of historical meteorological data, and the effects of climate change on the optimal crop yield (Ya, opt), water productivity (WPopt), and the combinations of optimized RRWD threshold (RRWDopt) were investigated. The results indicated that both Ya, opt and WPopt generally increased with time showing a tendency of gradually elevated annual CO2 concentration and seasonal average effective temperature. Irrespective of the number of irrigation events during the winter wheat growing season, the differences of RRWDopt for different combinations of irrigation sequence and event in the same kind of hydrological year were relatively small, with a coefficient of variation consistently less than 23 % and a mean of 8 %. When combinations of mean RRWDopt were applied into AquaCrop to trigger irrigation for winter wheat in various hydrological years, the simulated yield (Ya, sim) and water productivity (WPsim) under 1\u20134 irrigation events were found to be comparable to their respective optimums (Ya, opt and WPopt), with all the values of Ya, sim (WPsim) falling in the range of 92 %Ya, opt (90 %WPopt). Therefore, the mean RRWDopt should be helpful to formulate rational irrigation management strategies of winter wheat under changing climatic conditions in the NCP.", "keywords": ["HD9000-9495", "2. Zero hunger", "0106 biological sciences", "Evapotranspiration", "Agriculture (General)", "04 agricultural and veterinary sciences", "Agricultural industries", "15. Life on land", "01 natural sciences", "Irrigation scheduling", "6. Clean water", "S1-972", "Optimization algorithm", "13. Climate action", "Climate change", "0401 agriculture", " forestry", " and fisheries", "Crop model"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2023.108391"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2023.108391", "name": "item", "description": "10.1016/j.agwat.2023.108391", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2023.108391"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-08-01T00:00:00Z"}}, {"id": "10.1029/2020jd034163", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:17:27Z", "type": "Journal Article", "created": "2021-07-23", "title": "Upgrading Land\u2010Cover and Vegetation Seasonality in the ECMWF Coupled System: Verification With FLUXNET Sites, METEOSAT Satellite Land Surface Temperatures, and ERA5 Atmospheric Reanalysis", "description": "AbstractIn this study, we show that limitations in the representation of land cover and vegetation seasonality in the European Centre for Medium\uffe2\uff80\uff90Range Weather Forecasting (ECMWF) model are partially responsible for large biases (up to \uffe2\uff88\uffbc10\uffc2\uffb0C, either positive or negative depending on the region) on the simulated daily maximum land surface temperature (LST) with respect to satellite Earth Observations (EOs) products from the Land Surface Analysis Satellite Application Facility. The error patterns were coherent in offline land\uffe2\uff80\uff90surface and coupled land\uffe2\uff80\uff90atmosphere simulations, and in ECMWF's latest generation reanalysis (ERA5). Subsequently, we updated the ECMWF model's land cover characterization leveraging on state\uffe2\uff80\uff90of\uffe2\uff80\uff90the\uffe2\uff80\uff90art EOs\uffe2\uff80\uff94the European Space Agency Climate Change Initiative land cover data set and the Copernicus Global Land Services leaf area index. Additionally, we tested a clumping parameterization, introducing seasonality to the effective low vegetation coverage. The updates reduced the overall daily maximum LST bias and unbiased root\uffe2\uff80\uff90mean\uffe2\uff80\uff90squared errors. In contrast, the implemented updates had a neutral impact on daily minimum LST. Our results also highlighted the complex regional heterogeneities in the atmospheric sensitivity to land cover and vegetation changes, particularly with issues emerging over eastern Brazil and northeastern Asia. These issues called for a re\uffe2\uff80\uff90calibration of model parameters (e.g., minimum stomatal resistance, roughness length, rooting depth), along with a revision of several model assumptions (e.g., snow shading by high vegetation).
", "keywords": ["Atmospheric Science", "CLIMATE-CHANGE", "IMPACT", "PREDICTION", "SNOW SCHEME", "ASSIMILATION", "MODELS", "15. Life on land", "SOIL-MOISTURE", "01 natural sciences", "PREDICTABILITY", "VARIABILITY", "Geophysics", "Space and Planetary Science", "13. Climate action", "Earth and Environmental Sciences", "Earth and Planetary Sciences (miscellaneous)", "SENSITIVITY", "Research Article", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1029/2020jd034163"}, {"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": "10.1029/2020jd034163", "name": "item", "description": "10.1029/2020jd034163", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2020jd034163"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-08-02T00:00:00Z"}}, {"id": "oai:helvia.uco.es:10396/24059", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:32:17Z", "type": "Report", "title": "Spatial crop-water variations in rainfed wheat systems: From simulation modelling to site-specific management", "description": "Open AccessEn campos en pendiente, los cultivos de secano experimentan diferentes grados de estr\u00e9s h\u00eddrico causados por variaciones espaciales de la humedad en el suelo, y los rendimientos var\u00edan espacialmente dentro del mismo campo. Esta variabilidad supone una oportunidad para la agricultura de precisi\u00f3n a trav\u00e9s del manejo espacialmente variable. Sin embargo, si bien se han logrado avances significativos en los aspectos de la ingenier\u00eda de la variaci\u00f3n espacial, como el aumento de la resoluci\u00f3n espacial de los sistemas de datos y la automatizaci\u00f3n, se ha avanzado mucho menos en relaci\u00f3n a la simulaci\u00f3n de las respuestas de los cultivos a las variaciones espaciales de la humedad y los flujos h\u00eddricos. La mayor\u00eda de los estudios sobre las brechas de rendimiento de secano ignoran la variabilidad dentro de la parcela. Sin embargo, el uso de modelos de simulaci\u00f3n de cultivos como medida de apoyo a los sistemas de gesti\u00f3n espacialmente variable, requiere que los enfoques de modelaci\u00f3n espacial del agua sean capaces de representar y simular con precisi\u00f3n la variaci\u00f3n dentro del campo de los factores relacionados con el agua disponible y la respuesta de los cultivos. Esta tesis doctoral representa una nueva contribuci\u00f3n a la agronom\u00eda de los sistemas agr\u00edcolas de secano, con \u00e9nfasis en el papel que juegan los flujos de agua en zonas de topograf\u00eda ondulada en la determinaci\u00f3n de las variaciones espaciales del rendimiento del trigo. La tesis se ha desarrollado en cap\u00edtulos que se complementan siguiendo un enfoque integrador. La presente tesis doctoral revis\u00f3 algunos de los modelos hidrol\u00f3gicos y de cultivo m\u00e1s ampliamente adoptados y explor\u00f3 nuevas oportunidades para simular variaciones espaciales del agua a nivel de campo mediante la incorporaci\u00f3n del flujo lateral de escorrent\u00eda superficial y sub-superficial en las zonas de menor elevaci\u00f3n del campo. Desde este punto de vista, se evaluaron las variaciones espaciales de las brechas de rendimiento en trigo de secano, en C\u00f3rdoba, Espa\u00f1a, que son causadas por flujos laterales de los puntos altos a los bajos. Desde una perspectiva agron\u00f3mica, las entradas laterales del agua contribuyen a las variaciones de rendimiento en los sistemas de producci\u00f3n de trigo de secano como el que se ha estudiado en el \u00e1mbito de esta tesis. La contribuci\u00f3n neta de estos flujos a las variaciones espaciales de los rendimientos potenciales de secano se mostr\u00f3 relevante pero altamente irregular entre diferentes a\u00f1os. A pesar de la variabilidad interanual, t\u00edpica de las condiciones mediterr\u00e1neas, la existencia de dichos flujos hizo que los rendimientos de trigo simulados variaran un +16% desde las \u00e1reas m\u00e1s elevadas de un campo hacia abajo. El rendimiento medio observado oscil\u00f3 entre 1.3 y 5.4 Mg de rendimiento de grano (GY) ha\u22121. Las respuestas de rendimiento neto al flujo lateral, cuenca abajo, fueron en promedio 383 kg de rendimiento de grano (GY) ha\u22121, y la productividad marginal de agua de LIF alcanz\u00f3 24.6 (\u00b113.2) kg GY ha\u22121 mm\u22121 en a\u00f1os de m\u00e1xima capacidad de respuesta. Dichos a\u00f1os de m\u00e1xima capacidad de respuesta se asociaron con bajas precipitaciones durante las etapas vegetativas del cultivo en combinaci\u00f3n con flujos laterales en las etapas posteriores a la floraci\u00f3n. En condiciones de campo, estas diferencias solo fueron visibles en uno de los dos a\u00f1os experimentales. Las implicaciones econ\u00f3micas asociadas con m\u00faltiples escenarios de tasa de aplicaci\u00f3n variable de nitr\u00f3geno se exploraron a trav\u00e9s de un caso de estudio y se propusieron varias recomendaciones. Tanto el tama\u00f1o de la finca (el \u00e1rea sembrada anual) como la estructura topogr\u00e1fica afectaron la din\u00e1mica de los rendimientos de la inversi\u00f3n. Bajo las condiciones actuales de pol\u00edtica agr\u00edcola, y de precios, la adopci\u00f3n de la tasa de aplicaci\u00f3n variable tendr\u00eda una ventaja econ\u00f3mica en fincas similares a la del caso de estudio con un \u00e1rea sembrada anual superior a 567 ha a\u00f1o\u22121. Sin embargo, las tendencias actuales en los precios de la energ\u00eda, los costes de transporte y los impactos tanto en los precios de los cereales como en los costes de los fertilizantes mejoran la viabilidad de la adopci\u00f3n de esta tecnolog\u00eda para una poblaci\u00f3n m\u00e1s amplia de tipos de fincas. La rentabilidad de la adopci\u00f3n de aplicaci\u00f3n variable de nitr\u00f3geno mejora bajo dichos escenarios y, en ausencia de apoyos adicionales, el \u00e1rea m\u00ednima para la adopci\u00f3n de aplicaci\u00f3n variable disminuye hasta un rango de 68-177 ha a\u00f1o\u22121 de \u00e1rea de siembra. La combinaci\u00f3n de aumentos de precios con la introducci\u00f3n de un subsidio adicional asociado al \u00e1rea de cultivo podr\u00eda reducir sustancialmente el umbral de adopci\u00f3n hasta 46 ha a\u00f1o\u22121, lo que hace que la tecnolog\u00eda sea econ\u00f3micamente viable para una poblaci\u00f3n mucho m\u00e1s amplia de agricultores.", "keywords": ["Agricultural crops", "Water management", "Artificial Neural Network", "Precision agriculture", "Crop modelling", "NDVI", "Spatial modelling", "Machine learning", "Water balance"], "contacts": [{"organization": "Roquette Tenreiro, Tom\u00e1s", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/oai:helvia.uco.es:10396/24059"}, {"rel": "self", "type": "application/geo+json", "title": "oai:helvia.uco.es:10396/24059", "name": "item", "description": "oai:helvia.uco.es:10396/24059", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/oai:helvia.uco.es:10396/24059"}, {"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": "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": "10.1016/j.agee.2021.107655", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:15:26Z", "type": "Journal Article", "created": "2021-09-09", "title": "The impact of water erosion on global maize and wheat productivity", "description": "Abstract Water erosion removes soil nutrients, soil carbon, and in extreme cases can remove topsoil altogether. Previous studies have quantified crop yield losses from water erosion using a range of methods, applied mostly to single plots or fields, and cannot be systematically compared. This study assesses the worldwide impact of water erosion on maize and wheat production using a global gridded modeling approach for the first time. The EPIC crop model is used to simulate the global impact of water erosion on maize and wheat yields, from 1980 to 2010, for a range of field management strategies. Maize and wheat yields were reduced by a median of 3% annually in grid cells affected by water erosion, which represent approximately half of global maize and wheat cultivation areas. Water erosion reduces the annual global production of maize and wheat by 8.9 million tonnes and 5.6 million tonnes, with a value of $3.3bn globally. Nitrogen fertilizer necessary to reduce losses is valued at $0.9bn. As cropland most affected by water erosion is outside major maize and wheat production regions, the production losses account for less than 1% of the annual global production by volume. Countries with heavy rainfall, hilly agricultural regions and low fertilizer use are most vulnerable to water erosion. These characteristics are most common in South and Southeast Asia, sub-Saharan Africa and South and Central America. Notable uncertainties remain around large-scale water erosion estimates that will need to be addressed by better integration of models and observations. Yet, an integrated bio-physical modeling framework \u2013 considering plant growth, soil processes and input requirements \u2013 as presented herein can provide a link between robust water erosion estimates, economics and policy-making so far lacking in global agricultural assessments.", "keywords": ["2. Zero hunger", "550", "04 agricultural and veterinary sciences", "global-gridded crop model", "15. Life on land", "01 natural sciences", "333", "6. Clean water", "fertilizer replacement costs", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "crop production change", "Water erosion", "EPIC", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://pure.iiasa.ac.at/id/eprint/17449/1/erosion_impact_final.pdf"}, {"href": "https://doi.org/10.1016/j.agee.2021.107655"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2021.107655", "name": "item", "description": "10.1016/j.agee.2021.107655", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2021.107655"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-01T00:00:00Z"}}, {"id": "10.1002/2015gb005239", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "type": "Journal Article", "created": "2015-12-19", "title": "Toward More Realistic Projections Of Soil Carbon Dynamics By Earth System Models", "description": "AbstractSoil 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": "10.1002/2015wr018233", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "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": "AbstractA 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.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": "10.1002/2016JF004060", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "type": "Journal Article", "created": "2017-03-06", "title": "Investigation of rock fragmentation during rockfalls and rock avalanches via 3-D discrete element analyses", "description": "AbstractThis 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": "10.1002/2017JD027346", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:58Z", "type": "Journal Article", "created": "2017-12-28", "title": "Soil Moisture-Temperature Coupling in a Set of Land Surface Models", "description": "AbstractThe 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/ajb2.70086", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:13:59Z", "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/bse.2725", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:00Z", "type": "Journal Article", "created": "2021-01-15", "title": "How to innovate business models for a circular bio\u2010economy?", "description": "AbstractShifting 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/ece3.5244", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:01Z", "type": "Journal Article", "created": "2019-06-10", "title": "Evolution of interdisciplinarity in biodiversity science", "description": "AbstractThe 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": "2026-05-23T16:14:01Z", "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": "AbstractManagement 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": "2026-05-23T16:14:02Z", "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": "SummaryThe 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": "2026-05-23T16:14:02Z", "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": "SummaryMegathrust 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": "2026-05-23T16:14:02Z", "type": "Journal Article", "created": "2021-12-10", "title": "Embracing Data Incompleteness for Better Earthquake Forecasting", "description": "AbstractWe 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/we.2621", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:10Z", "type": "Journal Article", "created": "2021-02-14", "title": "Conditional variational autoencoders for probabilistic wind turbine blade fatigue estimation using Supervisory, Control, and Data Acquisition data", "description": "AbstractWind 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": "10.1002/qj.4033", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:14:09Z", "type": "Journal Article", "created": "2021-04-06", "title": "Sensitivity of some African heavy rainfall events to microphysics and planetary boundary layer schemes: Impacts on localised storms", "description": "AbstractHigh\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": "2026-05-23T16:14:09Z", "type": "Journal Article", "created": "2022-11-12", "title": "Frontiers in soil ecology\u2014Insights from the World Biodiversity Forum 2022", "description": "AbstractGlobal 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.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.