{"type": "FeatureCollection", "features": [{"id": "10.1016/j.fcr.2021.108182", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:41Z", "type": "Journal Article", "created": "2021-05-25", "title": "Global sensitivity analysis of crop yield and transpiration from the FAO-AquaCrop model for dryland environments", "description": "Open AccessPeer reviewed", "keywords": ["2. Zero hunger", "570", "Yield", "0208 environmental biotechnology", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "630", "AquaCrop", "6. Clean water", "Transpiration", "Dryland", "13. Climate action", "Sensitivity analysis"]}, "links": [{"href": "https://eprints.soton.ac.uk/449637/1/AquaCrop_GSA_rev2.pdf"}, {"href": "https://eprints.soton.ac.uk/449637/2/Lu2021_AquaCrop_GSA.pdf"}, {"href": "https://doi.org/10.1016/j.fcr.2021.108182"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Field%20Crops%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.fcr.2021.108182", "name": "item", "description": "10.1016/j.fcr.2021.108182", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.fcr.2021.108182"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-01T00:00:00Z"}}, {"id": "10.1016/j.fcr.2022.108579", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:41Z", "type": "Journal Article", "created": "2022-05-23", "title": "Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiaci\u00f3n del proyecto \u201cSoil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems\u201d (773903), coordinado por Jos\u00e9 Alfonso G\u00f3mez Calero, investigador del Instituto de Agricultura Sostenible (IAS). The crop-water production function (CWPF) is widely used to quantitatively describe relationships between crop water deficit and yield, and evaluate the effects of different irrigation strategies in agro-hydrological models. In order to reasonably and reliably estimate crop yield and optimize irrigation scheduling, a novel CWPF was proposed by combining the plant water deficit index (PWDI), estimated based on root-weighted soil water availability, with a daily water sensitivity index derived from a sigmoidal cumulative function. Parameterized using data from a two-year winter wheat field lysimetric experiment conducted in the North China Plain and from a previously published two-year spring maize field drip irrigation experiment in Inner Mongolia, China, the CWPFs provided reasonable estimation of different crop yields with different water stress response characteristics under different field environments. Through coupling the genetic algorithm with the integrated simulations of soil water dynamics, PWDI and CWPF in the soil-wheat system, an optimization procedure was developed to determine PWDI threshold combinations to timely trigger irrigation according to pre-designed crop water deficit status. Crop yield and water use efficiency (WUE) of winter wheat were estimated and compared under different optimized constant and variable PWDI threshold combinations. In addition, the effects of climate change on the optimized variable PWDI threshold combinations were investigated using 38 years of historic meteorological data. The results showed that regulated deficit irrigation (RDI) with a variable threshold combination, in which the sensitivity characteristics to water deficit were considered for the crop at different growth stages, was superior to a constant threshold in enhancing crop yield and WUE. Irrespective of the number of irrigation events (1, 2, 3 or 4) during the growing season, the coefficients of variation (CV) of optimized PWDI thresholds for different combinations of irrigation sequence and events were not very large under the same kind of hydrological year (wet, normal or dry), with CV < 0.39 and a median of 0.21. When the mean (MN) of the optimized PWDI threshold combinations for different irrigation sequence and events was used to schedule RDI of winter wheat in terms of various hydrological years, up to 91% of the estimated relative yield was found to be higher than 90% of the corresponding maximum values. Therefore, the MN can be valuable in formulating rational irrigation management strategies of winter wheat to achieve relatively high yields with limited water under changing climatic conditions. This research was supported partly by National Natural Science Foundation of China (U1706211, 51790532), National Key Research and Development Program of China (2017YFE0118100), and the European Union's Horizon 2020 research and innovation programme under Project SHui, grant agreement No 773903. Peer reviewed", "keywords": ["Winter wheat", "0106 biological sciences", "2. Zero hunger", "Root-weighted plant water deficit index", "13. Climate action", "Crop-water production function", "Cumulative function of water sensitivity index", "15. Life on land", "01 natural sciences", "Regulated deficit irrigation", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.fcr.2022.108579"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Field%20Crops%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.fcr.2022.108579", "name": "item", "description": "10.1016/j.fcr.2022.108579", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.fcr.2022.108579"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-01T00:00:00Z"}}, {"id": "10.1002/2015gb005239", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:14:24Z", "type": "Journal Article", "created": "2015-12-19", "title": "Toward More Realistic Projections Of Soil Carbon Dynamics By Earth System Models", "description": "Abstract

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

", "keywords": ["550", "LAND MODELS", "Oceanography", "HETEROTROPHIC RESPIRATION", "01 natural sciences", "Atmospheric Sciences", "LITTER DECOMPOSITION", "ORGANIC-CARBON", "Geoinformatics", "GLOBAL CLIMATE-CHANGE", "DATA-ASSIMILATION", "Meteorology & Atmospheric Sciences", "TEMPERATURE SENSITIVITY", "CMIP5", "MICROBIAL MODELS", "0105 earth and related environmental sciences", "2. Zero hunger", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "500", "Earth system models", "04 agricultural and veterinary sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "TERRESTRIAL ECOSYSTEMS", "Climate Action", "Geochemistry", "Climate change impacts and adaptation", "realistic projections", "13. Climate action", "recommendations", "Earth Sciences", "0401 agriculture", " forestry", " and fisheries", "soil carbon dynamics", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment", "Climate Change Impacts and Adaptation", "Environmental Sciences", "PARAMETER-ESTIMATION"]}, "links": [{"href": "https://escholarship.org/content/qt1pw7g2r2/qt1pw7g2r2.pdf"}, {"href": "https://doi.org/10.1002/2015gb005239"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Biogeochemical%20Cycles", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/2015gb005239", "name": "item", "description": "10.1002/2015gb005239", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/2015gb005239"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-01T00:00:00Z"}}, {"id": "10.1002/ece3.1867", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:14:27Z", "type": "Journal Article", "created": "2016-01-11", "title": "Grazing Exclusion Reduced Soil Respiration But Increased Its Temperature Sensitivity In A Meadow Grassland On The Tibetan Plateau", "description": "Abstract

Understanding anthropogenic influences on soil respiration (Rs) is critical for accurate predictions of soil carbon fluxes, but it is not known how Rs responds to grazing exclusion (GE). Here, we conducted a manipulative experiment in a meadow grassland on the Tibetan Plateau to investigate the effects of GE on Rs. The exclusion of livestock significantly increased soil moisture and above\uffe2\uff80\uff90ground biomass, but it decreased soil temperature, microbial biomass carbon (MBC), and Rs. Regression analysis indicated that the effects of GE on Rs were mainly due to changes in soil temperature, soil moisture, and MBC. Compared with the grazed blocks, GE significantly decreased soil carbon release by 23.6% over the growing season and 21.4% annually, but it increased the temperature sensitivity (Q10) of Rs by 6.5% and 14.2% for the growing season and annually respectively. Therefore, GE may reduce the release of soil carbon from the Tibetan Plateau, but under future climate warming scenarios, the increases in Q10 induced by GE could lead to increased carbon emissions.

", "keywords": ["570", "MICROBIAL RESPIRATION", "Environmental Sciences & Ecology", "Plant Productivity", "Temperature Sensitivity", "ALPINE GRASSLAND", "630", "Microbial Biomass Carbon", "NORTHERN CHINA", "SEASONAL PATTERNS", "MOUNTAIN GRASSLANDS", "Grazing Exclusion", "Tibetan Plateau", "PLANT-COMMUNITIES", "Original Research", "2. Zero hunger", "Science & Technology", "CLIMATE-CHANGE", "CO2 EFFLUX", "Ecology", "04 agricultural and veterinary sciences", "15. Life on land", "INNER-MONGOLIA", "BELOW-GROUND BIOMASS", "Soil Respiration", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Life Sciences & Biomedicine"]}, "links": [{"href": "https://doi.org/10.1002/ece3.1867"}, {"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/ece3.1867", "name": "item", "description": "10.1002/ece3.1867", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/ece3.1867"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-01-11T00:00:00Z"}}, {"id": "10.1007/s00436-025-08483-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:14:59Z", "type": "Journal Article", "created": "2025-04-08", "title": "Implementation of real-time PCR assays for diagnosing intestinal protozoa infections", "description": "Abstract

Intestinal protozoa infections present a major public health challenge, particularly in areas with poor sanitation and limited access to clean water. Effective diagnostic methods are critical, yet traditional microscopy, though widely used for its simplicity, lacks the sensitivity and specificity of modern techniques like real-time Polymerase Chain Reaction (qPCR), making the latter a more effective tool for monitoring and assessing the burden of intestinal protozoa diseases. In this study, we implemented two duplex qPCR assays to detect Entamoeba dispar\uffe2\uff80\uff89+\uffe2\uff80\uff89Entamoeba histolytica and Cryptosporidium spp.\uffe2\uff80\uff89+\uffe2\uff80\uff89Chilomastix mesnili, along with singleplex assays for Giardia duodenalis and Blastocystis spp., using a 10 \uffc2\uffb5L reaction volume. This marks the first molecular detection of Chilomastix mesnili by qPCR, enhancing diagnostic precision. Using these, we analyzed stool samples from 70 patients on Pemba Island, Tanzania, before and 54 samples after treatment with 20, 25, or 30\uffc2\uffa0mg of emodepside or placebo, aiming to assess protozoa prevalence for this region and emodepside\uffe2\uff80\uff99s potential antiprotozoal effects. Our qPCR reliably detected protozoa in 74.4% of samples, with Entamoeba histolytica and Entamoeba dispar in 31.4% of cases. Notably, one-third of these infections were caused by Entamoeba histolytica. No significant reduction in protozoa was observed after emodepside treatment compared to placebo. The study highlights the utility of qPCR in providing species-level differentiation and improving the speed and cost-effectiveness of testing. The high prevalence of protozoa in this region underscores the need for continued monitoring and control efforts, though emodepside was not effective against protozoa infections. The construction of ecological security pattern is one of the important ways to alleviate the contradiction between economic development and ecological protection, as well as the important contents of ecological civilization construction. How to scientifically construct the ecological security pattern of small-scale counties, and achieve sustainable economic development based on ecological environment protection, it has become an important proposition in regulating the ecological process effectively. Taking Fengxian County of China as an example, this paper selected the importance of ecosystem service functions and ecological sensitivity to evaluate the ecological importance and identify ecological sources. Furthermore, we constructed the ecological resistance surface by various landscape assignments and nighttime lighting modifications. Through a minimum cumulative resistance model, we obtained ecological corridors and finally constructed the ecological security pattern comprehensively combining with ecological resistance surface construction. Accordingly, we further clarified the specific control measures for ecological security barriers and regional functional zoning. This case study shows that the ecological security pattern is composed of ecological sources and corridors, where the former plays an important security role, and the latter ensures the continuity of ecological functions. In terms of the spatial layout, the ecological security barriers built based on ecological security pattern and regional zoning functions are away from the urban core development area. As for the spatial distribution, ecological sources of Fengxian County are mainly located in the central and southwestern areas, which is highly coincident with the main rivers and underground drinking water source area. Moreover, key corridors and main corridors with length of approximately 115.71\uffc2\uffa0km and 26.22\uffc2\uffa0km, respectively, formed ecological corridors of Fengxian County. They are concentrated in the western and southwestern regions of the county which is far away from the built-up areas with strong human disturbance. The results will provide scientific evidence for important ecological land protection and ecological space control at a small scale in underdeveloped and plain counties. In addition, it will enrich the theoretical framework and methodological system of ecological security pattern construction. To some extent, it also makes a reference for improving the regional ecological environment carrying capacities and optimizing the ecological spatial structure in such kinds of underdeveloped small-scale counties.We collated and synthesized previous studies that reported the impacts of microplastics on soil parameters. The data were classified and integrated to screen for the proportion of significant effects, then we suggest several directions to alleviate the current data limitation in future experiments. We compiled 106 datasets capturing significant effects, which were analyzed in detail. We found that polyethylene and pellets (or powders) were the most frequently used microplastic composition and shape for soil experiments. The significant effects mainly occurred in broad size ranges (0.1\uffe2\uff80\uff931 mm) at test concentrations of 0.1%\uffe2\uff80\uff9310% based on soil dry weight. Polyvinyl chloride and film induced significant effects at lower concentrations compared to other compositions and shapes, respectively. We adopted a species sensitivity distribution (SSD) and soil property effect distribution (SPED) method using available data from soil biota, and for soil properties and enzymes deemed relevant for microplastic management. The predicted-no-effect-concentration (PNEC)-like values needed to protect 95% of soil biota and soil properties was estimated to be between 520 and 655 mg kg\uffe2\uff88\uff921. This study was the first to screen microplastic levels with a view toward protecting the soil system. Our results should be regularly updated (e.g., quarterly) with additional data as they become available.

", "keywords": ["Significant effect", "2. Zero hunger", "570", "Soil", "Species sensitivity distribution", "0211 other engineering and technologies", "Soil ; Significant effect ; Soil properties ; Microplastics in agroecosystems ; Species sensitivity distribution ; Research Article", "Soil properties", "500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie", "02 engineering and technology", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://link.springer.com/content/pdf/10.1007/s42832-021-0077-3.pdf"}, {"href": "https://doi.org/10.1007/s42832-021-0077-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Ecology%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s42832-021-0077-3", "name": "item", "description": "10.1007/s42832-021-0077-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s42832-021-0077-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-13T00:00:00Z"}}, {"id": "10.1016/j.biombioe.2012.02.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:15Z", "type": "Journal Article", "created": "2012-03-09", "title": "Origins Of The Debate On The Life-Cycle Greenhouse Gas Emissions And Energy Consumption Of First-Generation Biofuels \u2013 A Sensitivity Analysis Approach", "description": "Available results about energy and GreenHouse Gases (GHG) balances of biofuels from Life-Cycle Assessment (LCA) or life-cycle based studies present large discrepancies and thus, may lead to contradictory policy-making measures. This work reviewed seven important European LCA studies in a sensitivity analysis approach in order to get a better understanding of the roots of such a debate for three major biofuels in European production: rape methyl ester and ethanol from wheat and sugar beet. Global trends and variability of energy and GHG balances were depicted and completed with a sensitivity analysis carried out for each methodological and data parameter, which allowed making recommendations on the carrying out of LCA in a policy-making or a biofuels comparison context. Methodological choices, and especially allocation rule, appeared as key elements for results variation with influences on balances up to 149%; system expansion approach was identified as the most relevant rule since it integrates the market potential and the environmental interest of by-products promotion, which was pointed out as a crucial point for biofuels sustainability. The influence of local specificity for cultivation data was evaluated up to 167%, which puts too large geographical coverage in question. Modelling uncertainties due to N2O emissions from soils showed influences from 17 to 46%, which represents a crucial challenge for research and for LCA results accuracy. Approximations evaluation pointed out the need to integrate agricultural machinery into the assessment. Finally, land-use issue revealed its dramatic importance for LCA results and the need to define explicit scenarios for land-use alternatives.", "keywords": ["[SDV.BIO]Life Sciences [q-bio]/Biotechnology", "330", "http://aims.fao.org/aos/agrovoc/c_24420", "P06 - Sources d'\u00e9nergie renouvelable", "http://aims.fao.org/aos/agrovoc/c_37938", "http://aims.fao.org/aos/agrovoc/c_890", "\u00e9thanol", "02 engineering and technology", "7. Clean energy", "01 natural sciences", "630", "12. Responsible consumption", "11. Sustainability", "0202 electrical engineering", " electronic engineering", " information engineering", "http://aims.fao.org/aos/agrovoc/c_10677", "gaz \u00e0 effet de serre", "http://aims.fao.org/aos/agrovoc/c_34841", "[INFO.INFO-BT]Computer Science [cs]/Biotechnology", "Triticum", "http://aims.fao.org/aos/agrovoc/c_2671", "http://aims.fao.org/aos/agrovoc/c_1066", "0105 earth and related environmental sciences", "2. Zero hunger", "http://aims.fao.org/aos/agrovoc/c_27465", "Ethanol", "Sugar beet", "Brassica napus", "http://aims.fao.org/aos/agrovoc/c_2724", "Life cycle analysis LCA", "15. Life on land", "http://aims.fao.org/aos/agrovoc/c_9000056", "biocarburant", "13. Climate action", "Rapeseed methyl ester", "Wheat", "mod\u00e9lisation environnementale", "ester", "P01 - Conservation de la nature et ressources fonci\u00e8res", "impact sur l'environnement", "Beta vulgaris", "Sensitivity analysis", "P02 - Pollution", "http://aims.fao.org/aos/agrovoc/c_7950", "\u00e9valuation de l'impact"]}, "links": [{"href": "https://doi.org/10.1016/j.biombioe.2012.02.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biomass%20and%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.biombioe.2012.02.011", "name": "item", "description": "10.1016/j.biombioe.2012.02.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.biombioe.2012.02.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-05-01T00:00:00Z"}}, {"id": "10.1016/j.envpol.2022.120873", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:16:37Z", "type": "Journal Article", "created": "2022-12-15", "title": "Comparative selective pressure potential of antibiotics in the environment", "description": "To guide both environmental and public health policy, it is important to assess the degree of antibiotic resistance selection pressure under measured environmental concentrations (MECs), and to compare the efficacy of different mitigation strategies to minimize the spread of resistance. To this end, the resistance selection and enrichment potential due to antibiotic emissions into the environment must be analysed from a life cycle perspective, for a wide range of antibiotics, and considering variations in the underlying fitness costs between different resistance mutations and genes. The aim of this study is to consistently derive fitness cost-dependent minimum selective concentrations (MSCs) from readily available bacterial inhibition data and to build MSC-based species sensitivity distributions (SSDs). These are then used to determine antibiotic-specific resistance selection concentrations predicted to promote resistance in 5% of exposed bacterial species (RSC5). Using a previously developed competition model, we provide estimated MSC10 endpoints for 2,984 antibiotic and bacterial species combinations; the largest set of modelled MSCs available to date. Based on constructed SSDs, we derive RSC5 for 128 antibiotics with four orders of magnitude difference in their 'selective pressure potential' in the environment. By comparing our RSC5 to MECs, we highlight specific environmental compartments (e.g. hospital and wastewater effluents, lakes and rivers), as well as several antibiotics (e.g. ciprofloxacin, norfloxacin, enrofloxacin, and tetracycline), to be scrutinized for their potential role in resistance selection and dissemination. In addition to enabling comparative risk screening of the selective pressure potential of multiple antibiotics, our SSD-derived RSC5 provide the point of departure for calculating new life cycle-based characterization factors for antibiotics to compare mitigation strategies, thereby contributing towards a 'One-Health' approach to tackling the global antibiotic resistance crisis.", "keywords": ["0301 basic medicine", "2. Zero hunger", "0303 health sciences", "Bacteria", "Antibiotic resistance", "Drug Resistance", " Microbial", "Tetracycline", "6. Clean water", "Anti-Bacterial Agents", "3. Good health", "Selection coefficient", "03 medical and health sciences", "Ciprofloxacin", "Species sensitivity distribution", "Fitness cost", "Life cycle impact assessment", "/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being; name=SDG 3 - Good Health and Well-being", "Minimum selective concentration", "Norfloxacin"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2022.120873"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2022.120873", "name": "item", "description": "10.1016/j.envpol.2022.120873", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2022.120873"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-02-01T00:00:00Z"}}, {"id": "10.1016/j.renene.2021.02.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:14Z", "type": "Journal Article", "created": "2020-11-05", "title": "Virtual fatigue diagnostics of wake-affected wind turbine via Gaussian Process Regression", "description": "

We propose a data-driven model to predict the short-term fatigue Damage Equivalent Loads (DEL) on a wake-affected wind turbine based on wind field inflow sensors and/or loads sensors deployed on an adjacent up-wind wind turbine. Gaussian Process Regression (GPR) with Bayesian hyperparameters calibration is proposed to obtain a surrogate from input random variables to output DELs in the blades and towers of the up-wind and wake-affected wind turbines. A sensitivity analysis based on the hyperparameters of the GPR and Kullback-Leibler divergence is conducted to assess the effect of different input on the obtained DELs. We provide qualitative recommendations for a minimal set of necessary and sufficient input random variables to minimize the error in the DEL predictions on the wake-affected wind turbine. Extensive simulations are performed comprising different random variables, including wind speed, turbulence intensity, shear exponent and inflow horizontal skewness. Furthermore, we include random variables related to the blades lift and drag coefficients with direct impact on the rotor aerodynamic induction, which governs the evolution and transport of the meandering wake. In addition, different spacing between the wind turbines and W\u00f6hler exponents for calculation of DELs are considered. The maximum prediction normalized mean squared error, obtained in the tower base DELs in the fore-aft direction of the wake affected wind turbine, is less than 4%. In the case of the blade root DELs, the overall prediction error is less than 1%. The proposed scheme promotes utilization of sparse structural monitoring (loads) measurements for improving diagnostics on wake-affected turbines.

", "keywords": ["bepress|Physical Sciences and Mathematics|Physics|Engineering Physics", "engrXiv|Engineering|Risk Analysis", "engrXiv|Engineering|Other Engineering", "bepress|Engineering", "engrXiv|Engineering|Mechanical Engineering|Fluid Mechanics", "bepress|Engineering|Mechanical Engineering", "engrXiv|Engineering|Mechanical Engineering", "bepress|Engineering|Mechanical Engineering|Applied Mechanics", "Gaussian Process Regression", "02 engineering and technology", "7. Clean energy", "Virtual sensing", "wind turbine", "bepress|Engineering|Computational Engineering", "engrXiv|Engineering|Civil and Environmental Engineering", "0202 electrical engineering", " electronic engineering", " information engineering", "uncertainty", "Fatigue", "wake", "engrXiv|Engineering|Civil and Environmental Engineering|Structural Engineering", "Uncertainty", "engrXiv|Engineering|Mechanical Engineering|Applied Mechanics", "Bayesian Calibration", "engrXiv|Engineering|Engineering Physics", "bepress|Engineering|Risk Analysis", "engrXiv|Engineering", "bepress|Engineering|Civil and Environmental Engineering", "engrXiv|Engineering|Computational Engineering", "Wake", "bepress|Engineering|Aerospace Engineering|Aerodynamics and Fluid Mechanics", "bepress|Engineering|Civil and Environmental Engineering|Structural Engineering", "fatigue", "bepress|Engineering|Other Engineering", "Sensitivity analysis", "Wind turbine", "Bayesian Gaussian process regression"]}, "links": [{"href": "https://doi.org/10.1016/j.renene.2021.02.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Renewable%20Energy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.renene.2021.02.003", "name": "item", "description": "10.1016/j.renene.2021.02.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.renene.2021.02.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-05T00:00:00Z"}}, {"id": "10.3389/fenvs.2022.1020465", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:21:36Z", "type": "Journal Article", "created": "2022-10-03", "title": "Sub-lethal fungicide concentrations both reduce and stimulate the growth rate of non-target soil fungi from a natural grassland", "description": "

Conventional agriculture has relied extensively on the use of fungicides to prevent or control crop diseases. However, some fungicides, particularly broad-spectrum fungicides, not only eliminate target pathogens but also non-target and beneficial soil microbes. This scenario is not only limited to agricultural soil, but this may also potentially occur when neighboring environments are contaminated by fungicides through spray drift. Although concentrations may be sub-lethal, the chemicals may accumulate in the soil when used continuously resulting in more toxic effects. In this study, the effect on the colony extension rate of 31 filamentous soil saprobic fungi, initially isolated from a protected grassland ecosystem, were analyzed under fungicide treatment. These isolates were considered naive (no deliberate exposure), hence presumed to have not developed resistance. Two currently used fungicides with different modes of action were added to Potato Dextrose Agar at varying concentrations. Results showed a wide range of tolerance and sensitivity to isopyrazam and prothioconazole. Fungi belonging to the phylum Basidiomycota were most negatively affected by both fungicides. Phylum Mucoromycota were the most tolerant to prothioconazole while isolates belonging to phylum Ascomycota differed in their responses to both fungicides. Negative effects on the growth rate were more pronounced at higher concentrations except for a few isolates that were inhibited at 1\uffc2\uffa0mg\uffc2\uffb7L\uffe2\uff88\uff921. A slightly positive effect was also observed in three of the isolates under fungicide treatment. Lastly, the negative impact of fungicides was not associated with the growth strategy of the fungi, whether fast growing or slow growing, rather it is isolate-specific and phylogenetically conserved. The results of this study demonstrate that co-occurring fungi differ in their sensitivity to fungicides even without prior exposure. This difference in sensitivity among co-occurring fungi may result in shifts in community composition of the soil fungal community to the detriment of the more sensitive isolates.

", "keywords": ["Environmental sciences", "2. Zero hunger", "570", "soil filamentous fungi", "Biowissenschaften; Biologie", "differential sensitivity", "fungicide", "GE1-350", "15. Life on land", "grassland", "non-target fungi"], "contacts": [{"organization": "Jeane A. dela Cruz, Jeane A. dela Cruz, Tessa Camenzind, Tessa Camenzind, Matthias C. Rillig, Matthias C. Rillig,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.3389/fenvs.2022.1020465"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Environmental%20Science", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/fenvs.2022.1020465", "name": "item", "description": "10.3389/fenvs.2022.1020465", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/fenvs.2022.1020465"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-03T00:00:00Z"}}, {"id": "10.1371/journal.pntd.0012872", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:20:15Z", "type": "Journal Article", "created": "2025-02-18", "title": "Performance of real-time polymerase chain reaction and Kato-Katz for diagnosing soil-transmitted helminth infections and evaluating treatment efficacy of emodepside in randomized controlled trials", "description": "Background

The World Health Organization recommends the use of the microscopy-based Kato-Katz thick smear for diagnosing soil-transmitted helminth (STH) infections. Despite its simplicity and cost-effectiveness, the Kato-Katz method faces challenges, including reader subjectivity and reduced sensitivity. Real-time polymerase chain reaction (qPCR) technology offers standardized readouts and higher sensitivity, making it suitable for STH diagnosis and monitoring the treatment efficacy of emodepside within the framework of randomized controlled trials.

Methodology/Principal findings

We evaluated the performance of Kato-Katz versus qPCR for assessing treatment efficacy in terms of cure rates, of single doses of 5, 10, 15, 20, 25 and 30\uffe2\uff80\uff89mg of emodepside compared to 400\uffe2\uff80\uff89mg albendazole. Spearman\uffe2\uff80\uff99s rank correlation coefficient examined the correlation between STH eggs per gram in stool samples and qPCR Ct values. Diagnostic sensitivity of qPCR was calculated using a Bayesian latent class modelling approach with data from Ascaris lumbricoides infections. Agreement between Kato-Katz and qPCR at baseline was 93.57% for Trichuris trichiura, and 73.49% for both hookworm and A. lumbricoides. For the latter helminth qPCR demonstrated higher sensitivity (85.00% vs. 47.70%) and slightly lower specificity (93.40% vs. 99.40%) compared to Kato-Katz. We observed a fair to moderate agreement with negative correlation between Ct values and Kato-Katz egg counts. Treatment efficacy, as assessed by qPCR, was lower for all doses of emodepside and albendazole compared to Kato-Katz. Nonetheless, emodepside demonstrated higher cure rates against T. trichiura and A. lumbricoides infections compared to albendazole.

Conclusion/ Significance

Our study confirmed that qPCR is a sensitive diagnostic method for diagnosing STH infections compared to Kato-Katz and serves as a valuable tool for determining treatment efficacy in clinical trials. Furthermore, qPCR confirmed the better treatment efficacy of emodepside compared to albendazole, despite indicating lower cure rates than Kato-Katz.In 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": "10.1029/2022gl098700", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:18:13Z", "type": "Journal Article", "created": "2022-07-19", "title": "Drought Legacy in Sub\u2010Seasonal Vegetation State and Sensitivity to Climate Over the Northern Hemisphere", "description": "Abstract

Droughts affect ecosystems at multiple time scales, but their sub\uffe2\uff80\uff90seasonal legacy effects on vegetation activity remain unclear. Combining the satellite\uffe2\uff80\uff90based enhanced vegetation index MODIS EVI with a novel location\uffe2\uff80\uff90specific definition of the growing season, we quantify drought impacts on sub\uffe2\uff80\uff90seasonal vegetation activity and the subsequent recovery in the Northern Hemisphere. Drought legacy effects are quantified as changes in post\uffe2\uff80\uff90drought greenness and sensitivity to climate. We find that greenness losses under severe drought are partially compensated by a \uffe2\uff88\uffbc+5% greening within 2\uffe2\uff80\uff936 growing\uffe2\uff80\uff90season months following the droughts, both in woody and herbaceous vegetation but at different timings. In addition, post\uffe2\uff80\uff90drought sensitivity of herbaceous vegetation to hydrological conditions increases noticeably at high latitudes compared with the local normal conditions, regardless of the choice of drought time scales. In general, the legacy effects on sensitivity are larger in herbaceous vegetation than in woody vegetation.50\u2009years of soil warming. Warming of >50\u2009years drove the ecosystem to a new steady state possessing a distinct biotic composition and reduced species richness, biomass and soil organic matter. However, the warmed state was preceded by an overreaction to warming, which was related to organism physiology and was evident after 5-8\u2009years. Ignoring this overreaction yielded errors of >100% for 83\u2009variables when predicting their responses to a realistic warming scenario of 1\u2009\u00b0C over 50\u2009years, although some, including soil carbon content, remained stable after 5-8\u2009years. This study challenges long-term ecosystem predictions made from short-term observations, and provides a framework for characterization of ecosystem responses to sustained climate change.", "keywords": ["0301 basic medicine", "570", "Environmental management", "INCREASES", "Ecosystem ecology", "Climate Change", "Evolutionary biology", "TERM", "630", "Article", "Carbon Cycle", "Soil", "03 medical and health sciences", "SDG 13 - Climate Action", "106026 Ecosystem research", "Life Below Water", "Ecosystem", "106022 Mikrobiologie", "0303 health sciences", "Ecology", "Climate-change ecology", "SHIFTS", "Biological Sciences", "15. Life on land", "Grassland", "106026 \u00d6kosystemforschung", "13. Climate action", "SDG 13 \u2013 Ma\u00dfnahmen zum Klimaschutz", "FEEDBACKS", "106022 Microbiology", "VEGETATION", "SENSITIVITY", "Environmental Sciences", "SOIL RESPIRATION", "RESPONSES"]}, "links": [{"href": "https://escholarship.org/content/qt99v0g8pc/qt99v0g8pc.pdf"}, {"href": "https://doi.org/10.1038/s41559-019-1055-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Ecology%20%26amp%3B%20Evolution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41559-019-1055-3", "name": "item", "description": "10.1038/s41559-019-1055-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41559-019-1055-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-09T00:00:00Z"}}, {"id": "10.1038/s41565-021-01045-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:18:22Z", "type": "Journal Article", "created": "2022-01-19", "title": "Advances and applications of nanophotonic biosensors", "description": "Nanophotonic devices, which control light in subwavelength volumes and enhance light-matter interactions, have opened up exciting prospects for biosensing. Numerous nanophotonic biosensors have emerged to address the limitations of the current bioanalytical methods in terms of sensitivity, throughput, ease-of-use and miniaturization. In this Review, we provide an overview of the recent developments of label-free nanophotonic biosensors using evanescent-field-based sensing with plasmon resonances in metals and Mie resonances in dielectrics. We highlight the prospects of achieving an improved sensor performance and added functionalities by leveraging nanostructures and on-chip and optoelectronic integration, as well as microfluidics, biochemistry and data science toolkits. We also discuss open challenges in nanophotonic biosensing, such as reducing the overall cost and handling of complex biological samples, and provide an outlook for future opportunities to improve these technologies and thereby increase their impact in terms of improving health and safety.", "keywords": ["Photons", "Cost-Benefit Analysis", "Spectrum Analysis", "protein-detection", "Biosensing Techniques", "02 engineering and technology", "nanoantenna arrays", "01 natural sciences", "enhanced infrared-spectroscopy", "refractive-index sensitivity", "Nanostructures", "0104 chemical sciences", "3. Good health", "Electromagnetic Fields", "surface-plasmon resonance", "nano-objects", "raman-spectroscopy", "0210 nano-technology"]}, "links": [{"href": "https://www.nature.com/articles/s41565-021-01045-5.pdf"}, {"href": "https://doi.org/10.1038/s41565-021-01045-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Nanotechnology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41565-021-01045-5", "name": "item", "description": "10.1038/s41565-021-01045-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41565-021-01045-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-01-01T00:00:00Z"}}, {"id": "10.3390/rs10101601", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:21:57Z", "type": "Journal Article", "created": "2018-10-09", "title": "Sensitivity of Evapotranspiration Components in Remote Sensing-Based Models", "description": "

Accurately estimating evapotranspiration (ET) at large spatial scales is essential to our understanding of land-atmosphere coupling and the surface balance of water and energy. Comparisons between remote sensing-based ET models are difficult due to diversity in model formulation, parametrization and data requirements. The constituent components of ET have been shown to deviate substantially among models as well as between models and field estimates. This study analyses the sensitivity of three global ET remote sensing models in an attempt to isolate the error associated with forcing uncertainty and reveal the underlying variables driving the model components. We examine the transpiration, soil evaporation, interception and total ET estimates of the Penman-Monteith model from the Moderate Resolution Imaging Spectroradiometer (PM-MOD), the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL) and the Global Land Evaporation Amsterdam Model (GLEAM) at 42 sites where ET components have been measured using field techniques. We analyse the sensitivity of the models based on the uncertainty of the input variables and as a function of the raw value of the variables themselves. We find that, at 10% added uncertainty levels, the total ET estimates from PT-JPL, PM-MOD and GLEAM are most sensitive to Normalized Difference Vegetation Index (NDVI) (%RMSD = 100.0), relative humidity (%RMSD = 122.3) and net radiation (%RMSD = 7.49), respectively. Consistently, systemic bias introduced by forcing uncertainty in the component estimates is mitigated when components are aggregated to a total ET estimate. These results suggest that slight changes to forcing may result in outsized variation in ET partitioning and relatively smaller changes to the total ET estimates. Our results help to explain why model estimates of total ET perform relatively well despite large inter-model divergence in the individual ET component estimates.

", "keywords": ["550", "Science", "TROPICAL RAIN-FOREST", "0208 environmental biotechnology", "evapotranspiration", "0207 environmental engineering", "02 engineering and technology", "interception", "SOIL-MOISTURE", "transpiration", "modelling", "partitioning", "soil evaporation", "uncertainty", "DROUGHT", "evapotranspiration; modelling; sensitivity; uncertainty; transpiration; soil evaporation; interception; partitioning", "CLIMATE-CHANGE", "Q", "Biology and Life Sciences", "PLANT TRANSPIRATION", "sensitivity", "6. Clean water", "CHIHUAHUAN DESERT", "GLOBAL TERRESTRIAL EVAPOTRANSPIRATION", "13. Climate action", "Earth and Environmental Sciences", "LAND EVAPORATION", "WATER-BALANCE", "FEEDBACKS", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/10/10/1601/pdf"}, {"href": "https://doi.org/10.3390/rs10101601"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs10101601", "name": "item", "description": "10.3390/rs10101601", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs10101601"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-09T00:00:00Z"}}, {"id": "10261/276613", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:25:48Z", "type": "Journal Article", "created": "2022-05-23", "title": "Crop yield estimation and irrigation scheduling optimization using a root-weighted soil water availability based water production function", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiaci\u00f3n del proyecto \u201cSoil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems\u201d (773903), coordinado por Jos\u00e9 Alfonso G\u00f3mez Calero, investigador del Instituto de Agricultura Sostenible (IAS). The crop-water production function (CWPF) is widely used to quantitatively describe relationships between crop water deficit and yield, and evaluate the effects of different irrigation strategies in agro-hydrological models. In order to reasonably and reliably estimate crop yield and optimize irrigation scheduling, a novel CWPF was proposed by combining the plant water deficit index (PWDI), estimated based on root-weighted soil water availability, with a daily water sensitivity index derived from a sigmoidal cumulative function. Parameterized using data from a two-year winter wheat field lysimetric experiment conducted in the North China Plain and from a previously published two-year spring maize field drip irrigation experiment in Inner Mongolia, China, the CWPFs provided reasonable estimation of different crop yields with different water stress response characteristics under different field environments. Through coupling the genetic algorithm with the integrated simulations of soil water dynamics, PWDI and CWPF in the soil-wheat system, an optimization procedure was developed to determine PWDI threshold combinations to timely trigger irrigation according to pre-designed crop water deficit status. Crop yield and water use efficiency (WUE) of winter wheat were estimated and compared under different optimized constant and variable PWDI threshold combinations. In addition, the effects of climate change on the optimized variable PWDI threshold combinations were investigated using 38 years of historic meteorological data. The results showed that regulated deficit irrigation (RDI) with a variable threshold combination, in which the sensitivity characteristics to water deficit were considered for the crop at different growth stages, was superior to a constant threshold in enhancing crop yield and WUE. Irrespective of the number of irrigation events (1, 2, 3 or 4) during the growing season, the coefficients of variation (CV) of optimized PWDI thresholds for different combinations of irrigation sequence and events were not very large under the same kind of hydrological year (wet, normal or dry), with CV < 0.39 and a median of 0.21. When the mean (MN) of the optimized PWDI threshold combinations for different irrigation sequence and events was used to schedule RDI of winter wheat in terms of various hydrological years, up to 91% of the estimated relative yield was found to be higher than 90% of the corresponding maximum values. Therefore, the MN can be valuable in formulating rational irrigation management strategies of winter wheat to achieve relatively high yields with limited water under changing climatic conditions. This research was supported partly by National Natural Science Foundation of China (U1706211, 51790532), National Key Research and Development Program of China (2017YFE0118100), and the European Union's Horizon 2020 research and innovation programme under Project SHui, grant agreement No 773903. Peer reviewed", "keywords": ["Winter wheat", "2. Zero hunger", "0106 biological sciences", "Root-weighted plant water deficit index", "13. Climate action", "Crop-water production function", "Cumulative function of water sensitivity index", "15. Life on land", "01 natural sciences", "Regulated deficit irrigation", "6. Clean water"]}, "links": [{"href": "https://doi.org/10261/276613"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Field%20Crops%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/276613", "name": "item", "description": "10261/276613", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/276613"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-08-01T00:00:00Z"}}, {"id": "10.1080/1062936x.2023.2254225", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:18:53Z", "type": "Journal Article", "created": "2023-09-06", "title": "What is the ecotoxicity of a given chemical for a given aquatic species? Predicting interactions between species and chemicals using recommender system techniques", "description": "Ecotoxicological safety assessment of chemicals requires toxicity data on multiple species, despite the general desire of minimizing animal testing. Predictive models, specifically machine learning (ML) methods, are one of the tools capable of solving this apparent contradiction as they allow to generalize toxicity patterns across chemicals and species. However, despite the availability of large public toxicity datasets, the data is highly sparse, complicating model development. The aim of this study is to provide insights into how ML can predict toxicity using a large but sparse dataset. We developed models to predict LC50-values, based on experimental LC50-data covering 2431 organic chemicals and 1506 aquatic species from the ECOTOX-database. Several well-known ML techniques were evaluated and a new ML model was developed, inspired by recommender systems. This new model involves a simple linear model that learns low-rank interactions between species and chemicals using factorization machines. We evaluated the predictive performances of the developed models based on two validation settings: 1) predicting unseen chemical-species pairs, and 2) predicting unseen chemicals. The results of this study show that ML models can accurately predict LC50-values in both validation settings. Moreover, we show that the novel factorization machine approach can match well-tuned, complex, ML approaches.", "keywords": ["modelling", "Machine Learning", "machine learning", "Machine learning", "Animals", "Quantitative Structure-Activity Relationship", "prediction", "Ecotoxicology", "LC50", "aquatic toxicity", "species sensitivity"]}, "links": [{"href": "https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2023.2254225"}, {"href": "https://doi.org/10.1080/1062936x.2023.2254225"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/SAR%20and%20QSAR%20in%20Environmental%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1080/1062936x.2023.2254225", "name": "item", "description": "10.1080/1062936x.2023.2254225", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1080/1062936x.2023.2254225"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-09-06T00:00:00Z"}}, {"id": "10.1111/gcb.15496", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:19:25Z", "type": "Journal Article", "created": "2020-12-20", "title": "Topsoil organic matter build\u2010up in glacier forelands around the world", "description": "Abstract

Since the last glacial maximum, soil formation related to ice\uffe2\uff80\uff90cover shrinkage has been one major sink of carbon accumulating as soil organic matter (SOM), a phenomenon accelerated by the ongoing global warming. In recently deglacierized forelands, processes of SOM accumulation, including those that control carbon and nitrogen sequestration rates and biogeochemical stability of newly sequestered carbon, remain poorly understood. Here, we investigate the build\uffe2\uff80\uff90up of SOM during the initial stages (up to 410\uffc2\uffa0years) of topsoil development in 10 glacier forelands distributed on four continents. We test whether the net accumulation of SOM on glacier forelands (i) depends on the time since deglacierization and local climatic conditions (temperature and precipitation); (ii) is accompanied by a decrease in its stability and (iii) is mostly due to an increasing contribution of organic matter from plant origin. We measured total SOM concentration (carbon, nitrogen), its relative hydrogen/oxygen enrichment, stable isotopic (13C, 15N) and carbon functional groups (C\uffe2\uff80\uff90H, C=O, C=C) compositions, and its distribution in carbon pools of different thermal stability. We show that SOM content increases with time and is faster on forelands experiencing warmer climates. The build\uffe2\uff80\uff90up of SOM pools shows consistent trends across the studied soil chronosequences. During the first decades of soil development, the low amount of SOM is dominated by a thermally stable carbon pool with a small and highly thermolabile pool. The stability of SOM decreases with soil age at all sites, indicating that SOM storage is dominated by the accumulation of labile SOM during the first centuries of soil development, and suggesting plant carbon inputs to soil (SOM depleted in nitrogen, enriched in hydrogen and in aromatic carbon). Our findings highlight the potential vulnerability of SOM stocks from proglacial areas to decomposition and suggest that their durability largely depends on the relative contribution of carbon inputs from plants.

", "keywords": ["[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics", "550", "Nitrogen", "Chronosequence", "551", "01 natural sciences", "[SDV.BV.BOT] Life Sciences [q-bio]/Vegetal Biology/Botanics", "Soil", "soil organic matter", "carbon stability; chronosequence; climate sensitivity; soil organic matter; topsoil development; Carbon; Nitrogen; Temperature; Ice Cover; Soil", "[SDV.BID.SPT] Life Sciences [q-bio]/Biodiversity/Systematics", " Phylogenetics and taxonomy", "[SDV.EE.ECO] Life Sciences [q-bio]/Ecology", " environment/Ecosystems", "Ice Cover", "topsoil development", "Carbon stability", "0105 earth and related environmental sciences", "2. Zero hunger", "Soil organic matter", "Temperature", "Phylogenetics and taxonomy", "04 agricultural and veterinary sciences", "[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics", "15. Life on land", "Climate sensitivity", "Primary Research Articles", "Carbon", "chronosequence", "[SDE.BE] Environmental Sciences/Biodiversity and Ecology", "13. Climate action", "[SDV.EE.ECO]Life Sciences [q-bio]/Ecology", "[SDE]Environmental Sciences", "Topsoil development", "climate sensitivity", "carbon stability; chronosequence; climate sensitivity; soil organic matter; topsoil development;", "0401 agriculture", " forestry", " and fisheries", "[SDE.BE]Environmental Sciences/Biodiversity and Ecology", "environment/Ecosystems", "carbon stability"]}, "links": [{"href": "https://air.unimi.it/bitstream/2434/851691/2/khedim%202021%20submitted.pdf"}, {"href": "https://air.unimi.it/bitstream/2434/851691/3/khedim%202021%20Global%20Change%20Biol.pdf"}, {"href": "https://boa.unimib.it/bitstream/10281/300214/2/10281-300214_VoR.pdf"}, {"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.15496"}, {"href": "https://doi.org/10.1111/gcb.15496"}, {"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.15496", "name": "item", "description": "10.1111/gcb.15496", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.15496"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-01-16T00:00:00Z"}}, {"id": "10.1093/jambio/lxac048", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:19:01Z", "type": "Journal Article", "created": "2023-03-17", "title": "Two species-specific TaqMan-based quantitative polymerase chain reaction assays for the detection in soil ofPaenibacillus polymyxainocula", "description": "AbstractAims

The increasingly widespread use of beneficial microbial inocula in agriculture gives rise to two primary needs: i) the assessment of the environmental risk, i.e. their impact on local soil microbiome and soil properties; ii) being able to track them and monitor their persistence and fate to both optimize their formulation and application method. In previous years, PCR-based methods have detected bacterial or fungal bioinoculant at the species or strain level. However, the selective detection, quantification, and monitoring of target microbial species in a complex ecosystem such as soil require that the tests possess high specificity and sensitivity.

Methods and results

The work proposes a quantitative real-time PCR detection method using TaqMan chemistry, showing high specificity and sensitivity for the Paenibacillus polymyxa K16 strain. The primer and probe sets were designed using the polymyxin gene cluster targeting pmxC and pmxE sequences. Validation tests showed that these assays allowed a discriminant and specific detection of P. polymyxa K16 in soil.

Conclusion

The TaqMan-assay developed could thus ensure the necessary level of discrimination required by commercial and regulatory purposes to detect and monitor the bioinoculant in soil. The outstanding tropical land climate characteristic over the past decades is rapid warming, with no significant large-scale precipitation trends. This warming is expected to continue but the effects on tropical vegetation are unknown. El Ni\uffc3\uffb1o-related heat peaks may provide a test bed for a future hotter world. Here we analyse tropical land carbon cycle responses to the 2015/16 El Ni\uffc3\uffb1o heat and drought anomalies using an atmospheric transport inversion. Based on the global atmospheric CO 2 and fossil fuel emission records, we find no obvious signs of anomalously large carbon release compared with earlier El Ni\uffc3\uffb1o events, suggesting resilience of tropical vegetation. We find roughly equal net carbon release anomalies from Amazonia and tropical Africa, approximately 0.5 PgC each, and smaller carbon release anomalies from tropical East Asia and southern Africa. Atmospheric CO anomalies reveal substantial fire carbon release from tropical East Asia peaking in October 2015 while fires contribute only a minor amount to the Amazonian carbon flux anomaly. Anomalously large Amazonian carbon flux release is consistent with downregulation of primary productivity during peak negative near-surface water anomaly (October 2015 to March 2016) as diagnosed by solar-induced fluorescence. Finally, we find an unexpected anomalous positive flux to the atmosphere from tropical Africa early in 2016, coincident with substantial CO release.

This article is part of a discussion meeting issue \uffe2\uff80\uff98The impact of the 2015/2016 El Ni\uffc3\uffb1o on the terrestrial tropical carbon cycle: patterns, mechanisms and implications\uffe2\uff80\uff99.

", "keywords": ["Life Sciences & Biomedicine - Other Topics", "FLUX", "0301 basic medicine", "Hot Temperature", "550", "551", "global warming", "01 natural sciences", "Carbon Cycle", "Greenhouse Gases", "03 medical and health sciences", "[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology", "CHEMICAL-TRANSPORT MODEL", "carbon cycle", "INVERSION", "Biology", "TEMPERATURE", "11 Medical and Health Sciences", "0105 earth and related environmental sciences", "tropical forests", "El Nino-Southern Oscillation", "Evolutionary Biology", "Tropical Climate", "Science & Technology", "Atmosphere", "PHOTOSYNTHESIS", "EQUATORIAL PACIFIC", "Articles", "06 Biological Sciences", "15. Life on land", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "6. Clean water", "Droughts", "[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology", "13. Climate action", "PRECIPITATION", "Remote Sensing Technology", "INDUCED CHLOROPHYLL FLUORESCENCE", "CO2", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "SENSITIVITY", "environment", "Life Sciences & Biomedicine", "fire"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/135234/8/Tropical%20land%20carbon%20cycle%20responses%20to%202015/16%20El%20Ni%C3%B1o%20as%20recorded%20by%20atmospheric%20greenhouse%20gas%20and%20remote%20sensing%20data.pdf"}, {"href": "https://royalsocietypublishing.org/doi/pdf/10.1098/rstb.2017.0302"}, {"href": "https://doi.org/10.1098/rstb.2017.0302"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Philosophical%20Transactions%20of%20the%20Royal%20Society%20B%3A%20Biological%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1098/rstb.2017.0302", "name": "item", "description": "10.1098/rstb.2017.0302", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1098/rstb.2017.0302"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-08T00:00:00Z"}}, {"id": "10.1101/2024.01.17.575993", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:19:10Z", "type": "Journal Article", "created": "2024-01-19", "title": "Exposure of gut bacterial isolates to the anthelminthic drugs, ivermectin and moxidectin, leads to antibiotic-like phenotypes of growth inhibition and adaptation", "description": "Abstract

Due to their broad-spectrum activities, ivermectin and moxidectin are widely used anthelminthics in veterinary and human medicine. However, ivermectin has recently been shown to perturbate gut-microbial growth. Given the macrolide-like structure of both ivermectin and moxidectin, there is a need to characterize the antibiotic spectrum of these anthelminthic drugs and their potential implications in the development of cross-resistance to macrolides and other families of antibiotics. Here, we incubated 59 bacterial isolates representing different clades frequently found in the gut with ivermectin and moxidectin at different concentrations for 16-72h. Further, we challenged 10 bacterial isolates with repeated and gradually increasing concentrations of these two anthelminthics and subsequently characterized their sensitivity to different antibiotics as well as ascending anthelminthic concentrations. We found, that antibacterial activity of the two anthelminthics is comparable to a selection of tested antibiotics, as observed by potency and dose dependence. Bacterial anthelminthic challengingin vitroresulted in decreased anthelminthic sensitivity. Further, adaptation to anthelminthics is associated with decreased antibiotic sensitivity towards three macrolides, a lincosamide, a fluoroquinolone, a tetracycline and two carbapenems. The observed change in bacterial sensitivity profiles is associated with - and likely caused by - repeated anthelminthic exposure. Hence, current and future large-scale administration of ivermectin and moxidectin, respectively, for the control of helminths and malaria raises serious concerns - and hence potential off-target effects should be carefully monitored.Ammonia\uffe2\uff80\uff90oxidising archaea (AOA) are important microorganisms contributing towards the nitrogen flux in the environment. Unlike archaea from other major phyla, genetic tools are yet to be developed for the AOA, and identification of antibiotic resistance markers for selecting mutants is required for a genetic system. The aim of this study was to test the effects of selected antibiotics (hygromycin B, neomycin, apramycin, puromycin, novobiocin) on pure cultures of three well studied AOA strains, \uffe2\uff80\uff98Candidatus Nitrosocosmicus franklandianus C13\uffe2\uff80\uff99, Nitrososphaera viennensis EN76 and Nitrosopumilus maritimus SCM1. Puromycin, hygromycin B and neomycin inhibited some but not all tested archaeal strains. All strains were resistant to apramycin and inhibited by novobiocin to various degrees. As N. viennensis EN76 was relatively more resistant to the tested antibiotics, a wider range of concentrations and compounds (chloramphenicol, trimethoprim, statins) was tested against this strain. N. viennensis EN76 was inhibited by trimethoprim, but not by chloramphenicol, and growth recovered within days in the presence of simvastatin, suggesting either degradation of, or spontaneous resistance against, this compound. This study highlights the physiological differences between different genera of AOA and has identified new candidate antibiotics for selective enrichment and the development of selectable markers for genetic systems in AOA.Mesophyll conductance (gm) is known to affect plant photosynthesis. However,gmis rarely explicitly considered in land surface models (LSMs), with the consequence that its role in ecosystem and large\uffe2\uff80\uff90scale carbon and water fluxes is poorly understood. In particular, the different magnitudes ofgmacross plant functional types (PFTs) are expected to cause spatially divergent vegetation responses to elevated CO2concentrations. Here, an extensive literature compilation ofgmacross major vegetation types is used to parameterize an empirical model ofgmin the LSM JSBACH and to adjust photosynthetic parameters based on simulatedAn\uffc2\uffa0\uffe2\uff88\uff92\uffc2\uffa0Cicurves. We demonstrate that an explicit representation ofgmchanges the response of photosynthesis to environmental factors, which cannot be entirely compensated by adjusting photosynthetic parameters. These altered responses lead to changes in the photosynthetic sensitivity to atmospheric CO2concentrations which depend both on the magnitude ofgmand the climatic conditions, particularly temperature. We then conducted simulations under ambient and elevated (ambient\uffc2\uffa0+\uffc2\uffa0200\uffc2\uffa0\uffce\uffbcmol/mol) CO2concentrations for contrasting ecosystems and for historical and anticipated future climate conditions (representative concentration pathways; RCPs) globally. Thegm\uffe2\uff80\uff90explicit simulations using the RCP8.5 scenario resulted in significantly higher increases in gross primary productivity (GPP) in high latitudes (+10% to + 25%), intermediate increases in temperate regions (+5% to + 15%), and slightly lower to moderately higher responses in tropical regions (\uffe2\uff88\uff922% to +5%), which summed up to moderate GPP increases globally. Similar patterns were found for transpiration, but with a lower magnitude. Our results suggest that the effect of an explicit representation ofgmis most important for simulated carbon and water fluxes in the boreal zone, where a cold climate coincides with evergreen vegetation.

", "keywords": ["0106 biological sciences", "0301 basic medicine", "550", "Climate", "mesophyll conductance", "photosynthetic CO sensitivity", "01 natural sciences", "land surface modeling", "Carbon Cycle", "03 medical and health sciences", "photosynthetic CO2 sensitivity", "XXXXXX - Unknown", "representative concentration pathways", "Photosynthesis", "Ecosystem", "580", "photosynthesis", "plants", "Temperature", "elevated CO concentrations", "carbon dioxide", "Carbon Dioxide", "Models", " Theoretical", "Plants", "15. Life on land", "Primary Research Articles", "13. Climate action", "elevated CO2 concentrations"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.14604"}, {"href": "https://openresearch-repository.anu.edu.au/bitstream/1885/195677/5/01_Knauer_Effects_of_mesophyll_2019.pdf.jpg"}, {"href": "https://doi.org/10.1111/gcb.14604"}, {"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.14604", "name": "item", "description": "10.1111/gcb.14604", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.14604"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-23T00:00:00Z"}}, {"id": "10.1111/gcb.15120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:19:24Z", "type": "Journal Article", "created": "2020-05-15", "title": "Changes in soil organic carbon under perennial crops", "description": "Abstract

This study evaluates the dynamics of soil organic carbon (SOC) under perennial crops across the globe. It quantifies the effect of change from annual to perennial crops and the subsequent temporal changes in SOC stocks during the perennial crop cycle. It also presents an empirical model to estimate changes in the SOC content under crops as a function of time, land use, and site characteristics. We used a harmonized global dataset containing paired\uffe2\uff80\uff90comparison empirical values of SOC and different types of perennial crops (perennial grasses, palms, and woody plants) with different end uses: bioenergy, food, other bio\uffe2\uff80\uff90products, and short rotation coppice. Salient outcomes include: a 20\uffe2\uff80\uff90year period encompassing a change from annual to perennial crops led to an average 20% increase in SOC at 0\uffe2\uff80\uff9330\uffc2\uffa0cm (6.0\uffc2\uffa0\uffc2\uffb1\uffc2\uffa04.6\uffc2\uffa0Mg/ha gain) and a total 10% increase over the 0\uffe2\uff80\uff93100\uffc2\uffa0cm soil profile (5.7\uffc2\uffa0\uffc2\uffb1\uffc2\uffa010.9\uffc2\uffa0Mg/ha). A change from natural pasture to perennial crop decreased SOC stocks by 1% over 0\uffe2\uff80\uff9330\uffc2\uffa0cm (\uffe2\uff88\uff922.5\uffc2\uffa0\uffc2\uffb1\uffc2\uffa04.2\uffc2\uffa0Mg/ha) and 10% over 0\uffe2\uff80\uff93100\uffc2\uffa0cm (\uffe2\uff88\uff9213.6\uffc2\uffa0\uffc2\uffb1\uffc2\uffa08.9\uffc2\uffa0Mg/ha). The effect of a land use change from forest to perennial crops did not show significant impacts, probably due to the limited number of plots; but the data indicated that while a 2% increase in SOC was observed at 0\uffe2\uff80\uff9330\uffc2\uffa0cm (16.81\uffc2\uffa0\uffc2\uffb1\uffc2\uffa055.1\uffc2\uffa0Mg/ha), a decrease in 24% was observed at 30\uffe2\uff80\uff93100\uffc2\uffa0cm (\uffe2\uff88\uff9240.1\uffc2\uffa0\uffc2\uffb1\uffc2\uffa016.8\uffc2\uffa0Mg/ha). Perennial crops generally accumulate SOC through time, especially woody crops; and temperature was the main driver explaining differences in SOC dynamics, followed by crop age, soil bulk density, clay content, and depth. We present empirical evidence showing that the FAO perennialization strategy is reasonable, underscoring the role of perennial crops as a useful component of climate change mitigation strategies.Abstract. Improving the skill of Earth system models (ESMs) in representing climate\uffe2\uff80\uff93vegetation interactions is crucial to enhance our predictions of future climate and ecosystem functioning. Therefore, ESMs need to correctly simulate the impact of climate on vegetation, but likewise feedbacks of vegetation on climate must be adequately represented. However, model predictions at large spatial scales remain subjected to large uncertainties, mostly due to the lack of observational patterns to benchmark them. Here, the bidirectional nature of climate\uffe2\uff80\uff93vegetation interactions is explored across multiple temporal scales by adopting a spectral Granger causality framework that allows identification of potentially co-dependent variables. Results based on global and multi-decadal records of remotely sensed leaf area index (LAI) and observed atmospheric data show that the climate control on vegetation variability increases with longer temporal scales, being higher at inter-annual than multi-month scales. Globally, precipitation is the most dominant driver of vegetation at monthly scales, particularly in (semi-)arid regions. The seasonal LAI variability in energy-driven latitudes is mainly controlled by radiation, while air temperature controls vegetation growth and decay in high northern latitudes at inter-annual scales. These observational results are used as a benchmark to evaluate four ESM simulations from the Coupled Model Intercomparison Project Phase\uffc2\uffa05 (CMIP5). Findings indicate a tendency of ESMs to over-represent the climate control on LAI dynamics and a particular overestimation of the dominance of precipitation in arid and semi-arid regions at inter-annual scales. Analogously, CMIP5 models overestimate the control of air temperature on seasonal vegetation variability, especially in forested regions. Overall, climate impacts on LAI are found to be stronger than the feedbacks of LAI on climate in both observations and models; in other words, local climate variability leaves a larger imprint on temporal LAI dynamics than vice versa. Note however that while vegetation reacts directly to its local climate conditions, the spatially collocated character of the analysis does not allow for the identification of remote feedbacks, which might result in an underestimation of the biophysical effects of vegetation on climate. Nonetheless, the widespread effect of LAI variability on radiation, as observed over the northern latitudes due to albedo changes, is overestimated by the CMIP5 models. Overall, our experiments emphasise the potential of benchmarking the representation of particular interactions in online ESMs using causal statistics in combination with observational data, as opposed to the more conventional evaluation of the magnitude and dynamics of individual variables.

", "keywords": ["0301 basic medicine", "Evolution", "LAND-SURFACE MODELS", "01 natural sciences", "RECENT TRENDS", "03 medical and health sciences", "Behavior and Systematics", "Life", "QH501-531", "NET PRIMARY PRODUCTION", "QH540-549.5", "Earth-Surface Processes", "0105 earth and related environmental sciences", "QE1-996.5", "EARTH SYSTEM MODEL", "Ecology", "LEAF-AREA INDEX", "Biology and Life Sciences", "Geology", "15. Life on land", "DATA SETS", "13. Climate action", "Earth and Environmental Sciences", "FEEDBACKS", "CO2", "VEGETATION", "SENSITIVITY"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/4851/2019/bg-16-4851-2019.pdf"}, {"href": "https://doi.org/10.5194/bg-16-4851-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-16-4851-2019", "name": "item", "description": "10.5194/bg-16-4851-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-16-4851-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-12-20T00:00:00Z"}}, {"id": "10.2166/wst.2018.398", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:21:18Z", "type": "Journal Article", "created": "2018-10-04", "title": "Sensitivity analysis for an elemental sulfur-based two-step denitrification model", "description": "Abstract

A local sensitivity analysis was performed for a chemically synthesized elemental sulfur (S0)-based two-step denitrification model, accounting for nitrite (NO2\uffe2\uff88\uff92) accumulation, biomass growth and S0 hydrolysis. The sensitivity analysis was aimed at verifying the model stability, understanding the model structure and individuating the model parameters to be further optimized. The mass specific area of the sulfur particles (a*) and hydrolysis kinetic constant (k1) were identified as the dominant parameters on the model outputs, i.e. nitrate (NO3\uffe2\uff88\uff92), NO2\uffe2\uff88\uff92 and sulfate (SO42\uffe2\uff88\uff92) concentrations, confirming that the microbially catalyzed S0 hydrolysis is the rate-limiting step during S0-driven denitrification. Additionally, the maximum growth rates of the denitrifying biomass on NO3\uffe2\uff88\uff92 and NO2\uffe2\uff88\uff92 were detected as the most sensitive kinetic parameters.

", "keywords": ["Elemental sulfur", "Environmental Engineering", "0207 environmental engineering", "Biological surface-based hydrolysis; Elemental sulfur; Mathematical modeling; Sensitivity analysis; Two-step autotrophic denitrification; Environmental Engineering; Water Science and Technology", "02 engineering and technology", "01 natural sciences", "Two-step autotrophic denitrification", "Bioreactors", "European Joint Doctorates", "European Commission", "Knowmad Institut", "Biological surface-based hydrolysis", "Nitrites", "Netherlands", "Water Science and Technology", "0105 earth and related environmental sciences", "Aurora Universities Network", "EC", "Nitrates", "H2020", "Energy Research", "13. Climate action", "Denitrification", "Mathematical modeling", "Sensitivity analysis", "Sulfur"]}, "links": [{"href": "https://www.iris.unina.it/bitstream/11588/724909/2/2018%20-%20Kostrytsia%20et%20al.%20-%20Water%20Science%20%26%20Technology%20-%20Sensitivity%20analysis%20for%20S0-based%20denitrification%20model.pdf"}, {"href": "http://iwaponline.com/wst/article-pdf/78/6/1296/504647/wst078061296.pdf"}, {"href": "https://doi.org/10.2166/wst.2018.398"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Science%20and%20Technology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.2166/wst.2018.398", "name": "item", "description": "10.2166/wst.2018.398", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.2166/wst.2018.398"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-09-20T00:00:00Z"}}, {"id": "10.3390/agronomy11122446", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:21:44Z", "type": "Journal Article", "created": "2021-12-01", "title": "Global Sensitivity Analysis for CERES-Rice Model under Different Cultivars and Specific-Stage Variations of Climate Parameters", "description": "

Global sensitivity analysis (SA) has become an efficient way to identify the most influential parameters on model results. However, the effects of cultivar variation and specific-stage variations of climate conditions on model outputs still remain unclear. In this study, 30 indica hybrid rice cultivars were simulated in the CERES-Rice model; then the Sobol\u2019 method was used to perform a global SA on 16 investigated parameters for three model outputs (anthesis day, maturity day, and yield). In addition, we also compared the differences in the sensitivity results under four specific-stage variations (vegetative phase, panicle-formation phase, ripening phase, and the whole growth season) of climate conditions. The results indicated that (1) parameter Tavg, G4, and P2O are the most influential parameters for all model outputs across cultivars during the whole growth season; (2) under the vegetative-phase variation of climate parameters; the variability of model outputs is mainly controlled by parameter P2O and Tavg; (3) under the panicle-formation-phase or ripening-phase variation of climate parameters, parameter P2O was the dominant variable for all model outputs; (4) parameter PORM had a considerable effect (the total sensitivity index, STi; STi>0.05) on yield regardless of the various specific-stage variations of the climate parameters. Findings obtained from this study will contribute to understanding the comprehensive effects of crop parameters on model outputs under different cultivars and specific-stage variations of climate conditions.

", "keywords": ["2. Zero hunger", "sensitivity analysis", "S", "rice", "CERES-Rice", "CERES-Rice; rice; cultivars; Sobol\u2019 method; sensitivity analysis", "cultivars", "Sobol\u2019 method", "0401 agriculture", " forestry", " and fisheries", "Agriculture", "Sobol' method", "04 agricultural and veterinary sciences", "15. Life on land"], "contacts": [{"organization": "Haixiao Ge, Fei Ma, Zhenwang Li, Changwen Du,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2446/pdf"}, {"href": "https://doi.org/10.3390/agronomy11122446"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/agronomy11122446", "name": "item", "description": "10.3390/agronomy11122446", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/agronomy11122446"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-30T00:00:00Z"}}, {"id": "10.3390/rs13245115", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:21:59Z", "type": "Journal Article", "created": "2021-12-16", "title": "Using Sentinel-2 Images for Soil Organic Carbon Content Mapping in Croplands of Southwestern France. The Usefulness of Sentinel-1/2 Derived Moisture Maps and Mismatches between Sentinel Images and Sampling Dates", "description": "

In agronomy, soil organic carbon (SOC) content is important for the development and growth of crops. From an environmental monitoring viewpoint, SOC sequestration is essential for mitigating the emission of greenhouse gases into the atmosphere. SOC dynamics in cropland soils should be further studied through various approaches including remote sensing. In order to predict SOC content over croplands in southwestern France (area of 22,177 km\u00b2), this study addresses (i) the influence of the dates on which Sentinel-2 (S2) images were acquired in the springs of 2017\u20132018 as well as the influence of the soil sampling period of a set of samples collected between 2005 and 2018, (ii) the use of soil moisture products (SMPs) derived from Sentinel-1/2 satellites to analyze the influence of surface soil moisture on model performance when included as a covariate, and (iii) whether the spatial distribution of SOC as mapped using S2 is related to terrain-derived attributes. The influences of S2 image dates and soil sampling periods were analyzed for bare topsoil. The dates of the S2 images with the best performance (RPD \u2265 1.7) were 6 April and 26 May 2017, using soil samples collected between 2016 and 2018. The soil sampling dates were also analyzed using SMP values. Soil moisture values were extracted for each sample and integrated into partial least squares regression (PLSR) models. The use of soil moisture as a covariate had no effect on the prediction performance of the models; however, SMP values were used to select the driest dates, effectively mapping topsoil organic carbon. S2 was able to predict high SOC contents in the specific soil types located on the old terraces (mesas) shaped by rivers flowing from the southwestern Pyr\u00e9n\u00e9es.

", "keywords": ["2. Zero hunger", "550", "soil organic carbon; sentinel-2; soil moisture; croplands; digital soil mapping; southwestern france; topographic wetness index; slaking crust sensitivity index", "sentinel-2", "Science", "Q", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "15. Life on land", "croplands", "630", "soil organic carbon", "southwestern france", "topographic wetness index", "13. Climate action", "digital soil mapping", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "soil moisture", "slaking crust sensitivity index"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/24/5115/pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/24/5115/pdf"}, {"href": "https://doi.org/10.3390/rs13245115"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs13245115", "name": "item", "description": "10.3390/rs13245115", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13245115"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-16T00:00:00Z"}}, {"id": "10.3390/s22197233", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:22:01Z", "type": "Journal Article", "created": "2022-09-26", "title": "Temperature and Humidity Sensitivity of Polymer Optical Fibre Sensors Tuned by Pre-Strain", "description": "

Polymer optical fibre Bragg grating (POFBG) sensors are of high interest due to their enhanced fracture toughness, flexibility in bending, and sensitivity in stress and pressure monitoring applications compared to silica-based sensors. The POFBG sensors can also detect humidity due to the hydrophilic nature of some polymers. However, multi-parameter sensing can cause cross-sensitivity issues in certain applications if the temperature and humidity measurements are not adequately compensated. In this work, we demonstrate the possibility of selectively tuning sensors\uffe2\uff80\uff99 temperature and humidity sensitivities to the desired level by applying a certain amount of fibre pre-strain. The temperature sensitivity of POFBG sensors fabricated in perfluoropolymers (CYTOP) can be selectively tuned from positive to negative values, having the option for insensitivity in specific temperature ranges depending on the amount of the applied pre-strain. The humidity sensitivity of sensors can also be changed from positive values to insensitivity. The importance of thermal annealing treatment of POFBG sensors for improved repeatability in temperature measurements is also reported. An array of 4 multiplexed POFBGs was fabricated, and each sensor was pre-strained accordingly to demonstrate the possibility of having targeted temperature and humidity sensitivities along the same fibre.

", "keywords": ["Chemical technology", "humidity", "temperature", "fibre Bragg gratings", "TP1-1185", "Electrical Engineering - Electronic Engineering - Information Engineering", "sensors", "sensitivity", "01 natural sciences", "Article", "polymer optical fibre", "0103 physical sciences", "Engineering and Technology", "XYLEX", "polymer optical fibre; fibre Bragg gratings; sensors; temperature; humidity; sensitivity; CYTOP; XYLEX", "CYTOP"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/22/19/7233/pdf"}, {"href": "https://www.mdpi.com/1424-8220/22/19/7233/pdf"}, {"href": "https://doi.org/10.3390/s22197233"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s22197233", "name": "item", "description": "10.3390/s22197233", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s22197233"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-23T00:00:00Z"}}, {"id": "10.3390/w13223274", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:05Z", "type": "Journal Article", "created": "2021-11-19", "title": "Modeling the Soil Erosion Regulation Ecosystem Services of the Landscape in Polish Catchments", "description": "

In this study, the soil erosion regulation ecosystem services of the CORINE land use/ land cover types along with soil intrinsic features and geomorphological factors were examined by using the soil erosion data of 327 catchments in Poland, with a mean area of 510 \u00b1 330 km2, applying a multivariate regression modeling approach. The results showed that soil erosion is accelerated by the discontinuous urban fabric (r = 0.224, p \u2264 0.01), by construction sites (r = 0.141, p \u2264 0.05), non-irrigated arable land (r = 0.237, p \u2264 0.01), and is mitigated by coniferous forest (r = \u22120.322, p \u2264 0.01), the clay ratio (r = \u22120.652, p \u2264 0.01), and the organic content of the soil (r = \u22120.622, p \u2264 0.01). The models also indicated that there is a strong relationship between soil erosion and the percentage of land use/land cover types (r2 = [0.62, 0.82, 0.83, 0.74]), i.e., mixed forest, non-irrigated arable land, fruit trees and berry plantations, broad-leaf forest, sport and leisure facilities, construction sites, and mineral extraction sites. The findings show that the soil erosion regulation ecosystem service is sensitive to broadleaf forests, rainfed agriculture, soil water content, terrain slope, drainage network density, annual precipitation, the clay ratio, the soil carbon content, and the degree of sensitivity increases from the broadleaf forest to the soil carbon content.

", "keywords": ["Akaike information criterion", "2. Zero hunger", "landscape composition", "goodness of fit tests", "regression models", "Goodness of fit tests", "Landscape composition", "04 agricultural and veterinary sciences", "Regression models", "15. Life on land", "01 natural sciences", "6. Clean water", "sensitivity analysis", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "Sensitivity analysis", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/22/3274/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/22/3274/pdf"}, {"href": "https://doi.org/10.3390/w13223274"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/w13223274", "name": "item", "description": "10.3390/w13223274", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/w13223274"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-18T00:00:00Z"}}, {"id": "10.5061/dryad.jm63xsjf8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:28Z", "type": "Dataset", "title": "Cyanobacterial- and moss-forming biocrusts consistently mitigate the temperature sensitivity of microbial respiration along a continental precipitation gradient", "description": "1. Biocrusts are prevalent and participate in many soil organic carbon (C) processes in drylands. The predicted increase in aridity will expand the biocrust cover and significantly impact soil organic C dynamics. However, how biocrusts change soil organic C decomposition and what factors drive the effect in response to climate warming remains largely unknown at a continental scale. 2. We measured microbial respiration and its temperature sensitivity (Q10) in bare soil lacking biocrusts and two universal biocrusted soils (cyanobacterial- and moss-crusted soil) from 43 sites across a precipitation gradient from 39 mm to 443 mm to evaluate the relative effects of biocrusts on Q10 and the driving forces in northern China\u2019s dryland. 3. Microbial respiration increased and Q10 decreased with increasing precipitation in bare soil, cyanobacterial- and moss-crusted soil. Biocrusts positively affected microbial respiration, with a more substantial magnitude by moss crusts than cyanobacterial crusts. Biocrusts negatively impacted Q10, and the magnitudes were similar between moss and cyanobacterial crusts. Most importantly, the relative effects of biocrusts on microbial respiration and Q10 increased with decreasing precipitation. 4. The positive effects of biocrusts on soil organic C content and microbial biomass carbon were positively correlated with the level of increased microbial respiration. Contrastingly, the magnitude of reduced Q10 was attributed to the biocrusts\u2019 positive effects on soil organic C quality and adverse effects on the ratio of fungal to bacterial PLFAs (F: B). 5. Our study provides strong evidence that biocrusts decrease the temperature sensitivity of microbial respiration in northern China\u2019s dryland. This result suggests that the predicted expanding biocrust cover is crucial for maintaining the soil organic C stability by buffering the positive impacts of climate warming on soil organic C decomposition in drylands.", "keywords": ["2. Zero hunger", "FOS: Other natural sciences", "microbial biomass", "microbial respiration", "13. Climate action", "Carbon quality", "Fungi:bacteria ratio", "15. Life on land", "Temperature sensitivity", "6. Clean water"], "contacts": [{"organization": "Su, Yan-gui, Huang, Gang,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.jm63xsjf8"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.jm63xsjf8", "name": "item", "description": "10.5061/dryad.jm63xsjf8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.jm63xsjf8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-10-20T00:00:00Z"}}, {"id": "10.5061/dryad.rn8pk0pm8", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:22:31Z", "type": "Dataset", "created": "2024-06-28", "title": "Uncertainties in greenhouse gas emission factors: A comprehensive analysis of switchgrass-based biofuel production", "description": "unspecifiedThis study investigates uncertainties in greenhouse gas (GHG) emission factors related to switchgrass-based biofuel production in Michigan. Using three life cycle assessment (LCA) databases\u2014 US lifecycle inventory database (USLCI), GREET, and Ecoinvent\u2014each with multiple versions, we recalculated the global warming intensity (GWI) and GHG mitigation potential in a static calculation. Employing Monte Carlo simulations along with local and global sensitivity analyses, we assess uncertainties and pinpoint key parameters influencing GWI. The convergence of results across our previous study, static calculations, and Monte Carlo simulations enhances the credibility of estimated GWI values. Static calculations, validated by Monte Carlo simulations, offer reasonable central tendencies, providing a robust foundation for policy considerations. However, the wider range observed in Monte Carlo simulations underscores the importance of potential variations and uncertainties in real-world applications. Sensitivity analyses identify biofuel yield, GHG emissions of electricity, and soil organic carbon (SOC) change as pivotal parameters influencing GWI. Decreasing uncertainties in GWI may be achieved by making greater efforts to acquire more precise data on these parameters. Our study emphasizes the significance of considering diverse GHG factors and databases in GWI assessments and stresses the need for accurate electricity fuel mixes, crucial information for refining GWI assessments and informing strategies for sustainable biofuel production.", "keywords": ["Sensitivity Analysis", "Switchgrass", "FOS: Environmental engineering", "Cellulosic biofuel", "Global warming intensity", "Greenhouse gas emission factor", "LCA database", "uncertainty analysis"], "contacts": [{"organization": "Kim, Seungdo, Dale, Bruce, Basso, Bruno,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.rn8pk0pm8"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.rn8pk0pm8", "name": "item", "description": "10.5061/dryad.rn8pk0pm8", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.rn8pk0pm8"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-16T00:00:00Z"}}, {"id": "10.5281/zenodo.8090608", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:24:50Z", "type": "Journal Article", "created": "2020-01-13", "title": "Construction of ecological security pattern based on the importance of ecosystem service functions and ecological sensitivity assessment: a case study in Fengxian County of Jiangsu Province, China", "description": "Abstract

The construction of ecological security pattern is one of the important ways to alleviate the contradiction between economic development and ecological protection, as well as the important contents of ecological civilization construction. How to scientifically construct the ecological security pattern of small-scale counties, and achieve sustainable economic development based on ecological environment protection, it has become an important proposition in regulating the ecological process effectively. Taking Fengxian County of China as an example, this paper selected the importance of ecosystem service functions and ecological sensitivity to evaluate the ecological importance and identify ecological sources. Furthermore, we constructed the ecological resistance surface by various landscape assignments and nighttime lighting modifications. Through a minimum cumulative resistance model, we obtained ecological corridors and finally constructed the ecological security pattern comprehensively combining with ecological resistance surface construction. Accordingly, we further clarified the specific control measures for ecological security barriers and regional functional zoning. This case study shows that the ecological security pattern is composed of ecological sources and corridors, where the former plays an important security role, and the latter ensures the continuity of ecological functions. In terms of the spatial layout, the ecological security barriers built based on ecological security pattern and regional zoning functions are away from the urban core development area. As for the spatial distribution, ecological sources of Fengxian County are mainly located in the central and southwestern areas, which is highly coincident with the main rivers and underground drinking water source area. Moreover, key corridors and main corridors with length of approximately 115.71\uffc2\uffa0km and 26.22\uffc2\uffa0km, respectively, formed ecological corridors of Fengxian County. They are concentrated in the western and southwestern regions of the county which is far away from the built-up areas with strong human disturbance. The results will provide scientific evidence for important ecological land protection and ecological space control at a small scale in underdeveloped and plain counties. In addition, it will enrich the theoretical framework and methodological system of ecological security pattern construction. To some extent, it also makes a reference for improving the regional ecological environment carrying capacities and optimizing the ecological spatial structure in such kinds of underdeveloped small-scale counties.The applicability of the single-aliquot regenerative-dose (SAR) protocol, by using the optically stimulated luminescence (OSL) signal of quartz as well as the post-infrared\uffe2\uff80\uff93infrared (pIRIR) signals of polymineral fine grains, namely pIRIR<sub>225</sub> and pIRIR<sub>290</sub>, was assessed for dating loess in New Zealand South Island. OSL signals of quartz grains displayed low sensitivity. However, the application of repeated irradiation/bleaching cycles did not result in an increase in sensitivity; annealing in the 300\uffe2\uff80\uff93500\uffc2\uffb0C temperature range generated the sensitisation of both the 110\uffc2\uffb0C thermoluminescence (TL) peak as well as the OSL signal, likely by activation of yet unidentified luminescence centres. After heating, the quartz signal is comparable to that of ideal samples, but the annealing is precluding successful dating. On the other hand, feldspar infrared-stimulated signals displayed satisfactory properties, allowing estimation of ages ranging from 14 \uffc2\uffb1 1\uffe2\uff80\uff9329 \uffc2\uffb1 3 ka for the investigated deposit. It was shown that pIRIR<sub>225</sub> and pIRIR<sub>290</sub> methods have potential for dating loess in the South Island of New Zealand, based on the following observations: (i) Dose recovery tests were successful with recovered-to-given dose ratios with a <10% deviation from unity, (ii) constant residual values of about 4 Gy and about 10 Gy were obtained after exposures for 48 h in the case of pIRIR<sub>225</sub> signals and 96 h in the case of pIRIR<sub>290</sub> signals, respectively, (iii) while a slight dose-dependence of the residual was reported, and for a dose as large as 1600 Gy the residual values are \uffe2\uff89\uff859 Gy and \uffe2\uff89\uff8519 Gy for pIRIR<sub>225</sub> and pIRIR<sub>290</sub> signals, respectively.

", "keywords": ["Mass-wasting -- New Zealand", "quartz; feldspar; luminescence; sensitivity; loess; New Zealand", "Submarine topography -- New Zealand", "Landslide hazard analysis -- New Zealand", "Submarine geology -- New Zealand", "15. Life on land", "Marine sediments -- New Zealand", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://oceanrep.geomar.de/id/eprint/52652/1/10.2478_geochr-2021-0005.pdf"}, {"href": "https://oceanrep.geomar.de/id/eprint/52652/2/geochr-2021-0005_sm.pdf"}, {"href": "https://doi.org/10.5281/zenodo.4536871"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geochronometria", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4536871", "name": "item", "description": "10.5281/zenodo.4536871", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4536871"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-30T00:00:00Z"}}, {"id": "10.5281/zenodo.8091705", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:24:50Z", "type": "Journal Article", "created": "2021-11-30", "title": "Global Sensitivity Analysis for CERES-Rice Model under Different Cultivars and Specific-Stage Variations of Climate Parameters", "description": "

Global sensitivity analysis (SA) has become an efficient way to identify the most influential parameters on model results. However, the effects of cultivar variation and specific-stage variations of climate conditions on model outputs still remain unclear. In this study, 30 indica hybrid rice cultivars were simulated in the CERES-Rice model; then the Sobol\u2019 method was used to perform a global SA on 16 investigated parameters for three model outputs (anthesis day, maturity day, and yield). In addition, we also compared the differences in the sensitivity results under four specific-stage variations (vegetative phase, panicle-formation phase, ripening phase, and the whole growth season) of climate conditions. The results indicated that (1) parameter Tavg, G4, and P2O are the most influential parameters for all model outputs across cultivars during the whole growth season; (2) under the vegetative-phase variation of climate parameters; the variability of model outputs is mainly controlled by parameter P2O and Tavg; (3) under the panicle-formation-phase or ripening-phase variation of climate parameters, parameter P2O was the dominant variable for all model outputs; (4) parameter PORM had a considerable effect (the total sensitivity index, STi; STi>0.05) on yield regardless of the various specific-stage variations of the climate parameters. Findings obtained from this study will contribute to understanding the comprehensive effects of crop parameters on model outputs under different cultivars and specific-stage variations of climate conditions.

", "keywords": ["2. Zero hunger", "sensitivity analysis", "S", "rice", "CERES-Rice", "CERES-Rice; rice; cultivars; Sobol\u2019 method; sensitivity analysis", "cultivars", "Sobol\u2019 method", "0401 agriculture", " forestry", " and fisheries", "Agriculture", "Sobol' method", "04 agricultural and veterinary sciences", "15. Life on land"], "contacts": [{"organization": "Haixiao Ge, Fei Ma, Zhenwang Li, Changwen Du,", "roles": ["creator"]}]}, "links": [{"href": "http://www.mdpi.com/2073-4395/11/12/2446/pdf"}, {"href": "https://doi.org/10.5281/zenodo.8091705"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agronomy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.8091705", "name": "item", "description": "10.5281/zenodo.8091705", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.8091705"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-30T00:00:00Z"}}, {"id": "PMC11897584", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:29:48Z", "type": "Journal Article", "created": "2025-03-12", "title": "Distinct Patterns of Antibiotic Sensitivities in Ammonia\u2010Oxidising Archaea", "description": "ABSTRACT

Ammonia\uffe2\uff80\uff90oxidising archaea (AOA) are important microorganisms contributing towards the nitrogen flux in the environment. Unlike archaea from other major phyla, genetic tools are yet to be developed for the AOA, and identification of antibiotic resistance markers for selecting mutants is required for a genetic system. The aim of this study was to test the effects of selected antibiotics (hygromycin B, neomycin, apramycin, puromycin, novobiocin) on pure cultures of three well studied AOA strains, \uffe2\uff80\uff98 Candidatus Nitrosocosmicus franklandianus C13\uffe2\uff80\uff99, Nitrososphaera viennensis EN76 and Nitrosopumilus maritimus SCM1. Puromycin, hygromycin B and neomycin inhibited some but not all tested archaeal strains. All strains were resistant to apramycin and inhibited by novobiocin to various degrees. As N. viennensis EN76 was relatively more resistant to the tested antibiotics, a wider range of concentrations and compounds (chloramphenicol, trimethoprim, statins) was tested against this strain. N. viennensis EN76 was inhibited by trimethoprim, but not by chloramphenicol, and growth recovered within days in the presence of simvastatin, suggesting either degradation of, or spontaneous resistance against, this compound. This study highlights the physiological differences between different genera of AOA and has identified new candidate antibiotics for selective enrichment and the development of selectable markers for genetic systems in AOA.

In this study, the soil erosion regulation ecosystem services of the CORINE land use/ land cover types along with soil intrinsic features and geomorphological factors were examined by using the soil erosion data of 327 catchments in Poland, with a mean area of 510 \u00b1 330 km2, applying a multivariate regression modeling approach. The results showed that soil erosion is accelerated by the discontinuous urban fabric (r = 0.224, p \u2264 0.01), by construction sites (r = 0.141, p \u2264 0.05), non-irrigated arable land (r = 0.237, p \u2264 0.01), and is mitigated by coniferous forest (r = \u22120.322, p \u2264 0.01), the clay ratio (r = \u22120.652, p \u2264 0.01), and the organic content of the soil (r = \u22120.622, p \u2264 0.01). The models also indicated that there is a strong relationship between soil erosion and the percentage of land use/land cover types (r2 = [0.62, 0.82, 0.83, 0.74]), i.e., mixed forest, non-irrigated arable land, fruit trees and berry plantations, broad-leaf forest, sport and leisure facilities, construction sites, and mineral extraction sites. The findings show that the soil erosion regulation ecosystem service is sensitive to broadleaf forests, rainfed agriculture, soil water content, terrain slope, drainage network density, annual precipitation, the clay ratio, the soil carbon content, and the degree of sensitivity increases from the broadleaf forest to the soil carbon content.

", "keywords": ["Akaike information criterion", "2. Zero hunger", "landscape composition", "goodness of fit tests", "regression models", "Goodness of fit tests", "Landscape composition", "04 agricultural and veterinary sciences", "Regression models", "15. Life on land", "01 natural sciences", "6. Clean water", "sensitivity analysis", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "Sensitivity analysis", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2073-4441/13/22/3274/pdf"}, {"href": "https://www.mdpi.com/2073-4441/13/22/3274/pdf"}, {"href": "https://doi.org/10261/279273"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/279273", "name": "item", "description": "10261/279273", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/279273"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-18T00:00:00Z"}}, {"id": "10281/553298", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:25:55Z", "type": "Journal Article", "created": "2025-04-23", "title": "High-Sensitivity Solution-Processed Organic Phototransistor Based on a Bulk Heterojunction with a Persistent Radical as the Electron Acceptor", "description": "In bilayer organic phototransistors (OPTs), charge transport and light-sensing functionalities are separately performed and optimized in two different layers. For optimizing the sensitivity of solution-processed bilayer OPTs, the approach of using a donor-acceptor bulk heterojunction (BHJ) as the light-sensing layer is well established in the literature, but the choice of the electron-accepting materials is often limited to fullerene-soluble derivatives or to standard nonfullerene acceptors. Herein, we report the unprecedented use of an organic persistent radical as an electron acceptor in the BHJ light-sensing layer of solution-processed bilayer OPTs. The radical acceptor is coupled at different donor:acceptor ratios to a low-band-gap polymer that absorbs in the near-infrared (NIR) region. At a donor:acceptor ratio of 1:3, the organic radical forms isolated domains within the BHJ. Such a morphology, coupled with the strong electron-accepting characteristics of the radical, leads to efficient trapping of electrons and efficient hole transport within the BHJ, as measured in charge-selective devices operated in the space-charge limited current (SCLC) range. This, together with the chemical and photostability of the persistent radical, allows us to obtain an OPT with photosensitivity (P) of 1 \u00d7 105 in response to NIR irradiation at 2 mW/cm2 and excellent photostability over time.", "keywords": ["electron trapping; electron-only device; photogain; photosensitivity; radical acceptor; solution-processed organic phototransistor;"]}, "links": [{"href": "https://boa.unimib.it/bitstream/10281/553298/1/Baroni-et-al-2025-ACS%20Applied%20Electronic%20Materials-VoR.pdf"}, {"href": "https://doi.org/10281/553298"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ACS%20Applied%20Electronic%20Materials", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10281/553298", "name": "item", "description": "10281/553298", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10281/553298"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-23T00:00:00Z"}}, {"id": "10754/669278", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:26:03Z", "type": "Journal Article", "created": "2021-05-24", "title": "Global sensitivity analysis of crop yield and transpiration from the FAO-AquaCrop model for dryland environments", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). -- Trabajo desarrollado bajo la financiaci\u00f3n del proyecto \u201cSoil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems\u201d (773903), coordinado por Jos\u00e9 Alfonso G\u00f3mez Calero, investigador del Instituto de Agricultura Sostenible (IAS). The application of crop models towards improved local scale prediction and precision management requires the identification and description of the major factors influencing model performance. Such efforts are particularly important for dryland areas which face rapid population growth and increasing constraints on water supplies. In this study, a global sensitivity analysis on crop yield and transpiration was performed for 49 parameters in the FAO-AquaCrop model (version 6.0) across three dryland farming areas with different climatic conditions. The Morris screening method and the variance-based Extended Fourier Amplitude Sensitivity Test (EFAST) method were used to evaluate the parameter sensitivities of several staple crops (maize, soybean or winter wheat) under dry, normal and wet scenarios. Results suggest that parameter sensitivities vary with the target model output (e.g., yield, transpiration) and the wetness condition. By synthesizing parameter sensitivities under different scenarios, the key parameters affecting model performance under both high and low water stress were identified for the three crops. Overall, factors relevant to root development tended to have large impacts under high water stress, while those controlling maximum canopy cover and senescence were more influential under low water stress. Parameter sensitivities were also shown to be stage-dependent from a day-by-day analysis of canopy cover and biomass simulations. Subsequent comparison with AquaCrop version 5.0 suggests that AquaCrop version 6.0 is less sensitive to uncertainties in soil properties. This work was partly funded through the \u2018A new paradigm in precision agriculture: assimilation of ultra-fine resolution data into a crop-yield forecasting model\u2019 project, supported by the King Abdullah University of Science and Technology, grant number OSR-2017-CRG6, and through the \u2018Building REsearch Capacity for sustainable water and food security In drylands of sub-saharan Africa (BRECcIA)\u2019 project, which is supported by UK Research and Innovation as part of the Global Challenges Research Fund, grant number NE/P021093/1. Matthew McCabe was funded by KAUST. G. De Lannoy was funded by EU project SHui GA 773903. Peer reviewed", "keywords": ["2. Zero hunger", "570", "Yield", "0208 environmental biotechnology", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "630", "AquaCrop", "6. Clean water", "Transpiration", "Dryland", "13. Climate action", "Sensitivity analysis"]}, "links": [{"href": "https://eprints.soton.ac.uk/449637/1/AquaCrop_GSA_rev2.pdf"}, {"href": "https://eprints.soton.ac.uk/449637/2/Lu2021_AquaCrop_GSA.pdf"}, {"href": "https://doi.org/10754/669278"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Field%20Crops%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10754/669278", "name": "item", "description": "10754/669278", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10754/669278"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-07-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=SENSITIVITY&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=SENSITIVITY&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=SENSITIVITY&", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=SENSITIVITY&offset=50", "hreflang": "en-US"}], "numberMatched": 84, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-05-31T03:10:58.159152Z"}