{"type": "FeatureCollection", "features": [{"id": "10.1007/s10518-019-00721-1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:42Z", "type": "Journal Article", "created": "2019-09-23", "title": "Comparative analysis of liquefaction susceptibility assessment methods based on the investigation on a pilot site in the greater Lisbon area", "description": "In Portugal, particularly in the greater Lisbon area, there are widespread alluvial sandy deposits, which need to be carefully assessed in terms of liquefaction susceptibility and risk zonation. For this purpose, a pilot site has been set up, as part of the European H2020 LIQUEFACT project. An extensive database of geological and geotechnical reports was collected and a comprehensive site investigation campaign was carried out, including boreholes with standard penetration (SPT), piezocone penetrometer and seismic dilatometer tests as well as geophysical methods, complemented by undisturbed soil sampling for laboratory characterisation. The assessment of liquefaction susceptibility based on field tests was made using the simplified procedure, considering the factor of safety against liquefaction (FSliq), which relates the cyclic resistance ratio (CRR) with the cyclic stress ratio (CSR). While the computation of the CSR is relatively straightforward, the reliability of the CRR strongly depends on the adopted in situ testing technique. Alternative approaches to liquefaction assessment have been proposed, based on quantitative liquefaction damage indexes, namely the Liquefaction Potential Index (LPI) and Liquefaction Severity Number. In this paper, the geotechnical field data is integrated in these distinct approaches to liquefaction assessment. A comparative and in-depth analysis of the conventional approach is presented and the inclusion of specific information on soil type, as a means to overcome the observed differences, is discussed particularly for SPT and VS results. The combination of these criteria enabled to clearly identify the most critical layers, in terms of liquefaction potential and severity.", "keywords": ["Earthquake-induced liquefaction \u00b7 Liquefaction potential \u00b7 Site characterisation \u00b7In situ tests \u00b7 Lisbon earthquake", "0211 other engineering and technologies", "02 engineering and technology", "0201 civil engineering"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s10518-019-00721-1.pdf"}, {"href": "https://doi.org/10.1007/s10518-019-00721-1"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulletin%20of%20Earthquake%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10518-019-00721-1", "name": "item", "description": "10.1007/s10518-019-00721-1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10518-019-00721-1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-09-23T00:00:00Z"}}, {"id": "10.1007/s10518-019-00695-0", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:42Z", "type": "Journal Article", "created": "2019-08-16", "title": "Assessment of post-liquefaction consolidation settlement", "description": "This paper presents a simplified procedure for the evaluation of the free-field consolidation settlement induced by liquefaction, using the results of 1D site response analysis in effective stress and a\u00a0simplified approach based on empirical chart. The excess pore water pressures induced by the seismic action are generated by both a simple stress-based model implemented on a non-linear dynamic analysis and a simplified relationship between the safety factor against liquefaction and the excess pore pressure. The post-cyclic settlement is finally calculated on the obtained distribution of excess pore water pressure along the soil column. The proposed method has been used to estimate the consolidation settlements in a centrifuge test and in well-documented case histories of widespread liquefaction: Treasure Island and Marina District after the 1989 Loma Prieta earthquake. The results have been compared to the measured settlements and to the values obtained by previous studies. It is shown that the proposed approach leads to a much more accurate estimate of the post-liquefaction consolidation settlement, with just a little increase of the calculation effort.", "keywords": ["1D seismic soil response", "liquefaction", "0211 other engineering and technologies", "Liquefaction", " Excess pore pressure", " Post-liquefaction settlement", " In situ testing", " 1D seismic soil response", "excess pore pressure", "post-liquefaction settlement", "02 engineering and technology", "in-situ testing", "0201 civil engineering"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1007/s10518-019-00695-0.pdf"}, {"href": "https://doi.org/10.1007/s10518-019-00695-0"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bulletin%20of%20Earthquake%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10518-019-00695-0", "name": "item", "description": "10.1007/s10518-019-00695-0", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10518-019-00695-0"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-16T00:00:00Z"}}, {"id": "10.1016/j.envpol.2005.10.017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:16:04Z", "type": "Journal Article", "created": "2005-11-30", "title": "Field Evaluation Of In Situ Remediation Of A Heavy Metal Contaminated Soil Using Lime And Red-Mud", "description": "We evaluated the effectiveness of lime and red mud (by-product of aluminium manufacturing) to reduce metal availability to Festuca rubra and to allow re-vegetation on a highly contaminated brown-field site. Application of both lime and red mud (at 3 or 5%) increased soil pH and decreased metal availability. Festuca rubra failed to establish in the control plots, but grew to a near complete vegetative cover on the amended plots. The most effective treatment in decreasing grass metal concentrations in the first year was 5% red mud, but by year two all amendments were equally effective. In an additional pot experiment, P application in combination with red mud or lime decreased the Pb concentration, but not total uptake of Pb in Festuca rubra compared to red mud alone. The results show that both red mud and lime can be used to remediate a heavily contaminated acid soil to allow re-vegetation.", "keywords": ["Festuca", "Geologic Sediments", "Time Factors", "Lime", "Phosphate", "Phosphorus", "Hydrogen-Ion Concentration", "15. Life on land", "01 natural sciences", "6. Clean water", "Calcium Carbonate", "Heavy metals", "Metals", " Heavy", "Clay", "Soil Pollutants", "Aluminum Silicates", "In situ remediation", "Environmental Restoration and Remediation", "Red mud", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2005.10.017"}, {"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.2005.10.017", "name": "item", "description": "10.1016/j.envpol.2005.10.017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2005.10.017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-08-01T00:00:00Z"}}, {"id": "10.1093/ismejo/wrae012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:08Z", "type": "Journal Article", "created": "2024-01-29", "title": "Interspecific interactions facilitate keystone species in a multispecies biofilm that promotes plant growth", "description": "Abstract

Microorganisms colonizing plant roots co-exist in complex, spatially structured multispecies biofilm communities. However, little is known about microbial interactions and the underlying spatial organization within biofilm communities established on plant roots. Here, a well-established four-species biofilm model (Stenotrophomonas rhizophila, Paenibacillus amylolyticus, Microbacterium oxydans, and Xanthomonas retroflexus, termed as SPMX) was applied to Arabidopsis roots to study the impact of multispecies biofilm on plant growth and the community spatial dynamics on the roots. SPMX co-culture notably promoted root development and plant biomass. Co-cultured SPMX increased root colonization and formed multispecies biofilms, structurally different from those formed by monocultures. By combining 16S rRNA gene amplicon sequencing and fluorescence in situ hybridization with confocal laser scanning microscopy, we found that the composition and spatial organization of the four-species biofilm significantly changed over time. Monoculture P. amylolyticus colonized plant roots poorly, but its population and root colonization were highly enhanced when residing in the four-species biofilm. Exclusion of P. amylolyticus from the community reduced overall biofilm production and root colonization of the three species, resulting in the loss of the plant growth-promoting effects. Combined with spatial analysis, this led to identification of P. amylolyticus as a keystone species. Our findings highlight that weak root colonizers may benefit from mutualistic interactions in complex communities and hereby become important keystone species impacting community spatial organization and function. This work expands the knowledge on spatial organization uncovering interspecific interactions in multispecies biofilm communities on plant roots, beneficial for harnessing microbial mutualism promoting plant growth.Soil microbiology has entered into the big data era, but the challenges in bridging laboratory\uffe2\uff80\uff90, field\uffe2\uff80\uff90, and model\uffe2\uff80\uff90based studies of ecosystem functions still remain. Indeed, the limitation of factors in laboratory experiments disregards interactions of a broad range of in situ environmental drivers leading to frequent contradictions between laboratory\uffe2\uff80\uff90 and field\uffe2\uff80\uff90based studies, which may consequently mislead model development and projections. Upscaling soil microbiology research from laboratory to ecosystems represents one of the grand challenges facing environmental scientists, but with great potential to inform policymakers toward climate\uffe2\uff80\uff90smart and resource\uffe2\uff80\uff90efficient ecosystems. The upscaling is not only a scale problem, but also requires disentangling functional relationships and processes on each level. We point to three potential reasons for the gaps between laboratory\uffe2\uff80\uff90 and field\uffe2\uff80\uff90based studies (i.e., spatiotemporal dynamics, sampling disturbances, and plant\uffe2\uff80\uff93soil\uffe2\uff80\uff93microbial feedbacks), and three key issues of caution when bridging observations and model predictions (i.e., across\uffe2\uff80\uff90scale effect, complex\uffe2\uff80\uff90process coupling, and multi\uffe2\uff80\uff90factor regulation). Field\uffe2\uff80\uff90based studies only cover a limited range of environmental variation that must be supplemented by laboratory and mesocosm manipulative studies when revealing the underlying mechanisms. The knowledge gaps in upscaling soil microbiology from laboratory to ecosystems should motivate interdisciplinary collaboration across experimental, observational, theoretic, and modeling research.

", "keywords": ["2. Zero hunger", "0301 basic medicine", "field in situ observation", "0303 health sciences", "soil biogeochemistry", "microbial-based models", "Models", " Theoretical", "Plants", "15. Life on land", "soil microbiology", "Soil", "03 medical and health sciences", "laboratory incubation", "13. Climate action", "Perspective", "global change factors", "Ecosystem", "Soil Microbiology"]}, "links": [{"href": "https://doi.org/10.1111/gcb.16537"}, {"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.16537", "name": "item", "description": "10.1111/gcb.16537", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.16537"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-28T00:00:00Z"}}, {"id": "10.1111/nph.19112", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:47Z", "type": "Journal Article", "created": "2023-06-29", "title": "Gold\u2010FISH enables targeted NanoSIMS analysis of plant\u2010associated bacteria", "description": "Summary

Bacteria colonize plant roots and engage in reciprocal interactions with their hosts. However, the contribution of individual taxa or groups of bacteria to plant nutrition and fitness is not well characterized due to a lack of in\uffc2\uffa0situ evidence of bacterial activity.

To address this knowledge gap, we developed an analytical approach that combines the identification and localization of individual bacteria on root surfaces via gold\uffe2\uff80\uff90based in\uffc2\uffa0situ hybridization with correlative NanoSIMS imaging of incorporated stable isotopes, indicative of metabolic activity.

We incubated Kosakonia strain DS\uffe2\uff80\uff901\uffe2\uff80\uff90associated, gnotobiotically grown rice plants with 15N\uffe2\uff80\uff93N2 gas to detect in\uffc2\uffa0situ N2 fixation activity. Bacterial cells along the rhizoplane showed\uffc2\uffa0heterogeneous patterns of 15N enrichment, ranging from the natural isotope abundance levels up to 12.07 at% 15N (average and median of 3.36 and 2.85 at% 15N, respectively, n\uffe2\uff80\uff89=\uffe2\uff80\uff89697 cells).

The presented correlative optical and chemical imaging analysis is applicable to a broad range of studies investigating plant\uffe2\uff80\uff93microbe interactions. For example, it enables verification of the in\uffc2\uffa0situ metabolic activity of host\uffe2\uff80\uff90associated commercialized strains or plant growth\uffe2\uff80\uff90promoting bacteria, thereby disentangling their role in plant nutrition. Such data facilitate the design of plant\uffe2\uff80\uff93microbe combinations for improvement of crop management.

Mineral dust produced by wind erosion of arid and semiarid surfaces is a major component of atmospheric aerosol that affects climate, weather, ecosystems, and socioeconomic sectors such as human health, transportation, solar energy, and air quality. Understanding these effects and ultimately improving the resilience of affected countries requires a reliable, dense, and diverse set of dust observations, fundamental for the development and the provision of skillful dust-forecast-tailored products. The last decade has seen a notable improvement of dust observational capabilities in terms of considered parameters, geographical coverage, and delivery times, as well as of tailored products of interest to both the scientific community and the various end-users. Given this progress, here we review the current state of observational capabilities, including in situ, ground-based, and satellite remote sensing observations in northern Africa, the Middle East, and Europe for the provision of dust information considering the needs of various users. We also critically discuss observational gaps and related unresolved questions while providing suggestions for overcoming the current limitations. Our review aims to be a milestone for discussing dust observational gaps at a global level to address the needs of users, from research communities to nonscientific stakeholders.The inherent biases of different long-term gridded surface soil moisture (SSM) products, unconstrained by the in situ observations, implies different spatio-temporal patterns. In this study, the Random Forest (RF) model was trained to predict SSM from relevant land surface feature variables (i.e., land surface temperature, vegetation indices, soil texture, and geographical information) and precipitation, based on the in situ soil moisture data of the International Soil Moisture Network (ISMN.). The results of the RF model show an RMSE of 0.05 m3 m\uffe2\uff88\uff923 and a correlation coefficient of 0.9. The calculated impurity-based feature importance indicates that the Antecedent Precipitation Index affects most of the predicted soil moisture. The geographical coordinates also significantly influence the prediction (i.e., RMSE was reduced to 0.03 m3 m\uffe2\uff88\uff923 after considering geographical coordinates), followed by land surface temperature, vegetation indices, and soil texture. The spatio-temporal pattern of RF predicted SSM was compared with the European Space Agency Climate Change Initiative (ESA-CCI) soil moisture product, using both time-longitude and latitude diagrams. The results indicate that the RF SSM captures the spatial distribution and the daily, seasonal, and annual variabilities globally.

", "keywords": ["feature importance", "Science", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "antecedent precipitation index", "SDG 13 - Climate Action", "Global scale", "Antecedent precipitation index; Feature importance; Global scale; In situ constrained; Random forest; Soil moisture", "soil moisture; random forest; global scale; in situ constrained; feature importance; antecedent precipitation index", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "Antecedent precipitation index", "Q", "In situ constrained", "15. Life on land", "Feature importance", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Soil moisture", "soil moisture", "ITC-GOLD", "in situ constrained", "random forest", "Random forest"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://www.iris.unina.it/bitstream/11588/938135/1/2021_Ljie_Zeng_et_al_remotesensing.pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://doi.org/10.3390/rs13234893"}, {"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/rs13234893", "name": "item", "description": "10.3390/rs13234893", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs13234893"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-02T00:00:00Z"}}, {"id": "10.3390/s24113556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:35Z", "type": "Journal Article", "created": "2024-05-31", "title": "Prediction Accuracy of Soil Chemical Parameters by Field- and Laboratory-Obtained vis-NIR Spectra after External Parameter Orthogonalization", "description": "

One challenge in predicting soil parameters using in situ visible and near infrared spectroscopy is the distortion of the spectra due to soil moisture. External parameter orthogonalization (EPO) is a mathematical method to remove unwanted variability from spectra. We created two different EPO correction matrices based on the difference between spectra collected in situ and, respectively, spectra collected from the same soil samples after drying and sieving and after drying, sieving and finely grinding. Spectra from 134 soil samples recorded with two different spectrometers were split into calibration and validation sets and the two EPO corrections were applied. Clay, organic carbon and total nitrogen content were predicted by partial least squares regression for uncorrected and EPO-corrected spectra using models based on the same type of spectra (\u201cwithin domain\u201d) as well as using laboratory-based models to predict in situ collected spectra (\u201ccross-domain\u201d). Our results show that the within-domain prediction of clay is improved with EPO corrections only for the research grade spectrometer, with no improvement for the other parameters. For the cross-domain predictions, there was a positive effect from both EPO corrections on all parameters. Overall, we also found that in situ collected spectra provided an equally successful prediction as laboratory-based spectra.

", "keywords": ["EJP Soil", "570", "ProbeField", "Medical Sciences", "Bioinformatics", "clay content", "in situ soil spectroscopy", "TP1-1185", "01 natural sciences", "630", "Article", "Biomedical Informatics", "PLSR", "Medical Specialties", "Medicine and Health Sciences", "Spectroscopy", "soil spectroscopy", "proximal sensing", "0105 earth and related environmental sciences", "spectrometers", "Chemical technology", "rdCV", "04 agricultural and veterinary sciences", "soil organic carbon", "total nitrogen", "Oncology", "0401 agriculture", " forestry", " and fisheries", "soil moisture", "EPO"]}, "links": [{"href": "https://doi.org/10.3390/s24113556"}, {"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/s24113556", "name": "item", "description": "10.3390/s24113556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s24113556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-05-31T00:00:00Z"}}, {"id": "10.5194/hess-25-5749-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:19Z", "type": "Journal Article", "created": "2021-11-09", "title": "The International Soil Moisture Network: serving Earth system science for over a decade", "description": "

Abstract. In\u00a02009, the International Soil Moisture Network\u00a0(ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et\u00a0al.,\u00a02011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28\u00a0October\u00a02021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000\u00a0active users and over 1000\u00a0scientific publications referencing the data sets provided by the network. As of July\u00a02021, the ISMN now contains the data of 71\u00a0networks and 2842\u00a0stations located all over the globe, with a time period spanning from\u00a01952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70\u2009% of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.

", "keywords": ["[SDE] Environmental Sciences", "Technology", "Atmospheric Science", "550", "Soil Moisture", "TA Engineering (General). Civil engineering (General)", "02 engineering and technology", "Soil Moisture; ISMN; IMA_CAN1; swc; STEMS", "Spatial variability", "Environmental technology. Sanitary engineering", "01 natural sciences", "Agency (philosophy)", "remote sensing", "Antecedent wetness conditions", "Engineering", "Geography. Anthropology. Recreation", "GE1-350", "TD1-1066", "Smos brightness temperature", "Heihe river-basin", "T", "Soil Water Retention", "Leaf-area index", "004", "FOS: Philosophy", " ethics and religion", "Programming language", "Earth and Planetary Sciences", "Physical Sciences", "name=Water Science and Technology", "/dk/atira/pure/subjectarea/asjc/1900/1901", "Medicine", "name=Earth and Planetary Sciences (miscellaneous)", "Mechanics and Transport in Unsaturated Soils", "Environmental Engineering", "Soil Moisture International Network", "0207 environmental engineering", "Epistemology", "Environmental science", "G", "Database", "Soil Moisture; network", "Arctic Permafrost Dynamics and Climate Change", "Scope (computer science)", "Land data assimilation", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Consecutive dry days", "in situ", "FOS: Environmental engineering", "AMSR-E", "15. Life on land", "Remote Sensing of Soil Moisture", "Globe", "Computer science", "Environmental sciences", "QE Geology", "Philosophy", "Ophthalmology", "In-situ measurements", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Environmental Science", "G70.212-70.215 Geographic information system", "soil moisture", "ITC-GOLD", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Wireless sensor network"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2998914/1/prod_447100-doc_161016.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2998914/2/prod_447100-doc_178365.pdf"}, {"href": "https://research.unipg.it/bitstream/11391/1498417/2/2021_The%20international%20soil_OA.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/910145/1/Dourigo_etal_2021.pdf"}, {"href": "https://doi.org/10.5194/hess-25-5749-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-25-5749-2021", "name": "item", "description": "10.5194/hess-25-5749-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-25-5749-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-09T00:00:00Z"}}, {"id": "11353/10.2037573", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:05Z", "type": "Journal Article", "created": "2023-06-29", "title": "Gold\u2010FISH enables targeted NanoSIMS analysis of plant\u2010associated bacteria", "description": "Summary

Bacteria colonize plant roots and engage in reciprocal interactions with their hosts. However, the contribution of individual taxa or groups of bacteria to plant nutrition and fitness is not well characterized due to a lack of in\uffc2\uffa0situ evidence of bacterial activity.

To address this knowledge gap, we developed an analytical approach that combines the identification and localization of individual bacteria on root surfaces via gold\uffe2\uff80\uff90based in\uffc2\uffa0situ hybridization with correlative NanoSIMS imaging of incorporated stable isotopes, indicative of metabolic activity.

We incubated Kosakonia strain DS\uffe2\uff80\uff901\uffe2\uff80\uff90associated, gnotobiotically grown rice plants with 15N\uffe2\uff80\uff93N2 gas to detect in\uffc2\uffa0situ N2 fixation activity. Bacterial cells along the rhizoplane showed\uffc2\uffa0heterogeneous patterns of 15N enrichment, ranging from the natural isotope abundance levels up to 12.07 at% 15N (average and median of 3.36 and 2.85 at% 15N, respectively, n\uffe2\uff80\uff89=\uffe2\uff80\uff89697 cells).

The presented correlative optical and chemical imaging analysis is applicable to a broad range of studies investigating plant\uffe2\uff80\uff93microbe interactions. For example, it enables verification of the in\uffc2\uffa0situ metabolic activity of host\uffe2\uff80\uff90associated commercialized strains or plant growth\uffe2\uff80\uff90promoting bacteria, thereby disentangling their role in plant nutrition. Such data facilitate the design of plant\uffe2\uff80\uff93microbe combinations for improvement of crop management.

Mineral dust produced by wind erosion of arid and semiarid surfaces is a major component of atmospheric aerosol that affects climate, weather, ecosystems, and socioeconomic sectors such as human health, transportation, solar energy, and air quality. Understanding these effects and ultimately improving the resilience of affected countries requires a reliable, dense, and diverse set of dust observations, fundamental for the development and the provision of skillful dust-forecast-tailored products. The last decade has seen a notable improvement of dust observational capabilities in terms of considered parameters, geographical coverage, and delivery times, as well as of tailored products of interest to both the scientific community and the various end-users. Given this progress, here we review the current state of observational capabilities, including in situ, ground-based, and satellite remote sensing observations in northern Africa, the Middle East, and Europe for the provision of dust information considering the needs of various users. We also critically discuss observational gaps and related unresolved questions while providing suggestions for overcoming the current limitations. Our review aims to be a milestone for discussing dust observational gaps at a global level to address the needs of users, from research communities to nonscientific stakeholders.

Abstract. In\u00a02009, the International Soil Moisture Network\u00a0(ISMN) was initiated as a community effort, funded by the European Space Agency, to serve as a centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et\u00a0al.,\u00a02011b, a). The ISMN brings together in situ soil moisture measurements collected and freely shared by a multitude of organisations, harmonises them in terms of units and sampling rates, applies advanced quality control, and stores them in a database. Users can freely retrieve the data from this database through an online web portal (https://ismn.earth/en/, last access: 28\u00a0October\u00a02021). Meanwhile, the ISMN has evolved into the primary in situ soil moisture reference database worldwide, as evidenced by more than 3000\u00a0active users and over 1000\u00a0scientific publications referencing the data sets provided by the network. As of July\u00a02021, the ISMN now contains the data of 71\u00a0networks and 2842\u00a0stations located all over the globe, with a time period spanning from\u00a01952 to the present. The number of networks and stations covered by the ISMN is still growing, and approximately 70\u2009% of the data sets contained in the database continue to be updated on a regular or irregular basis. The main scope of this paper is to inform readers about the evolution of the ISMN over the past decade, including a description of network and data set updates and quality control procedures. A comprehensive review of the existing literature making use of ISMN data is also provided in order to identify current limitations in functionality and data usage and to shape priorities for the next decade of operations of this unique community-based data repository.

", "keywords": ["[SDE] Environmental Sciences", "Technology", "Atmospheric Science", "550", "Soil Moisture", "TA Engineering (General). Civil engineering (General)", "02 engineering and technology", "Soil Moisture; ISMN; IMA_CAN1; swc; STEMS", "SMOS BRIGHTNESS TEMPERATURE", "Spatial variability", "Environmental technology. Sanitary engineering", "01 natural sciences", "Agency (philosophy)", "remote sensing", "Antecedent wetness conditions", "Engineering", "Geography. Anthropology. Recreation", "GE1-350", "Geosciences", " Multidisciplinary", "TD1-1066", "Smos brightness temperature", "Heihe river-basin", "T", "Soil Water Retention", "Geology", "Leaf-area index", "004", "FOS: Philosophy", " ethics and religion", "Programming language", "HEIHE RIVER-BASIN", "Earth and Planetary Sciences", "Physical Sciences", "Water Resources", "name=Water Science and Technology", "/dk/atira/pure/subjectarea/asjc/1900/1901", "Medicine", "0406 Physical Geography and Environmental Geoscience", "name=Earth and Planetary Sciences (miscellaneous)", "3709 Physical geography and environmental geoscience", "Mechanics and Transport in Unsaturated Soils", "Environmental Engineering", "SPATIAL VARIABILITY", "IN-SITU MEASUREMENTS", "0207 environmental engineering", "Epistemology", "0905 Civil Engineering", "Environmental science", "G", "Database", "LAND DATA ASSIMILATION", "Soil Moisture; network", "WIRELESS SENSOR NETWORK", "Arctic Permafrost Dynamics and Climate Change", "Scope (computer science)", "Land data assimilation", "Civil and Structural Engineering", "0105 earth and related environmental sciences", "info:eu-repo/classification/ddc/550", "Science & Technology", "3707 Hydrology", "Consecutive dry days", "LEAF-AREA INDEX", "in situ", "FOS: Environmental engineering", "AMSR-E", "15. Life on land", "Remote Sensing of Soil Moisture", "ANTECEDENT WETNESS CONDITIONS", "Globe", "Computer science", "Environmental sciences", "QE Geology", "0907 Environmental Engineering", "Philosophy", "Ophthalmology", "In-situ measurements", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Environmental Science", "G70.212-70.215 Geographic information system", "4013 Geomatic engineering", "soil moisture", "CONSECUTIVE DRY DAYS", "ITC-GOLD", "/dk/atira/pure/subjectarea/asjc/2300/2312", "Wireless sensor network"]}, "links": [{"href": "https://iris.polito.it/bitstream/11583/2998914/1/prod_447100-doc_161016.pdf"}, {"href": "https://iris.polito.it/bitstream/11583/2998914/2/prod_447100-doc_178365.pdf"}, {"href": "https://cris.unibo.it/bitstream/11585/910145/1/Dourigo_etal_2021.pdf"}, {"href": "https://doi.org/11585/910145"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "11585/910145", "name": "item", "description": "11585/910145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11585/910145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-09T00:00:00Z"}}, {"id": "11588/938135", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:11Z", "type": "Journal Article", "created": "2021-12-06", "title": "In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest Model", "description": "

The inherent biases of different long-term gridded surface soil moisture (SSM) products, unconstrained by the in situ observations, implies different spatio-temporal patterns. In this study, the Random Forest (RF) model was trained to predict SSM from relevant land surface feature variables (i.e., land surface temperature, vegetation indices, soil texture, and geographical information) and precipitation, based on the in situ soil moisture data of the International Soil Moisture Network (ISMN.). The results of the RF model show an RMSE of 0.05 m3 m\u22123 and a correlation coefficient of 0.9. The calculated impurity-based feature importance indicates that the Antecedent Precipitation Index affects most of the predicted soil moisture. The geographical coordinates also significantly influence the prediction (i.e., RMSE was reduced to 0.03 m3 m\u22123 after considering geographical coordinates), followed by land surface temperature, vegetation indices, and soil texture. The spatio-temporal pattern of RF predicted SSM was compared with the European Space Agency Climate Change Initiative (ESA-CCI) soil moisture product, using both time-longitude and latitude diagrams. The results indicate that the RF SSM captures the spatial distribution and the daily, seasonal, and annual variabilities globally.

", "keywords": ["feature importance", "Antecedent precipitation index", "Science", "Q", "0207 environmental engineering", "In situ constrained", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Feature importance", "antecedent precipitation index", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Global scale", "Antecedent precipitation index; Feature importance; Global scale; In situ constrained; Random forest; Soil moisture", "Soil moisture", "soil moisture", "ITC-GOLD", "in situ constrained", "soil moisture; random forest; global scale; in situ constrained; feature importance; antecedent precipitation index", "random forest", "Random forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://www.iris.unina.it/bitstream/11588/938135/1/2021_Ljie_Zeng_et_al_remotesensing.pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://doi.org/11588/938135"}, {"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": "11588/938135", "name": "item", "description": "11588/938135", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11588/938135"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-02T00:00:00Z"}}, {"id": "2027112119", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:34Z", "type": "Journal Article", "created": "2013-11-06", "title": "In situ polymerization of PVDF-HEMA polymers: electrospun membranes with improved flux and antifouling properties for water filtration", "description": "In situ polymerization of poly (vinylidene fluoride) (PVDF) with hydroxyethylmethacrylate (HEMA) followed by electrospinning was employed to prepare electrospun nanofibrous membranes (ENMs), referred to as PVDF-PHEMA-ENMs. Enhanced hydrophilicity of the ENMs was observed after polymerization. A decrease in the fiber thickness resulted in a decrease in the pore size and 60% improvement in the flux. The fiber mat exhibited excellent microfiltration behavior after being coated with a surface-charged chitosan (CS) polymer, compared with its non-coated counterparts. Porosity, flux and protein adsorption studies were performed for these ENMs. A comparatively less reduced flux and better recovery ratio were observed for the PVDF-PHEMA-ENMs and CS-coated PVDF-PHEMA-ENMs due to hydrophilic pendant hydroxyl groups (from PHEMA) and/or CS groups, which can prohibit irreversible protein adsorption, on the ENM surfaces. One step method for the fabrication of electospun nanofibrous membranes (ENMs) with hydrophilic surfaces and improved flux via in situ polymerization technique is described. The developed membranes also possess enhanced antifouling properties when compared with the virgin PVDF polymer.", "keywords": ["2. Zero hunger", "dead end method", "in situ polymerization", "microfiltration", "02 engineering and technology", "BSA adsorption studies", "540", "0210 nano-technology", "pure water flux", "01 natural sciences", "electrospinning", "6. Clean water", "0104 chemical sciences"], "contacts": [{"organization": "Nasreen, S.A.A.N., Sundarrajan, S., Syed Nizar, S.A., Balamurugan, R., Ramakrishna, S.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/2027112119"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Polymer%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2027112119", "name": "item", "description": "2027112119", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2027112119"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-11-06T00:00:00Z"}}, {"id": "3116249518", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:10Z", "type": "Journal Article", "created": "2020-12-17", "title": "SARMENTI: in-situ real-time soil nutrients and gaseous emission measurement", "description": "This paper presents the vision of the H2020 EU SARMENTI project that develops an IoT node that monitors in place and in real-time soil nutrients and emission of gasses above the ground, and provide recommendations to the farmer regarding appropriate fertilization strategies. The development methodology is presented here, the measurement requirements being established with end-users. Then the device architecture is summarized.", "keywords": ["agriculture 4.0", "in situ monitoring", "13. Climate action", "gaseous emission", "soil nutrients", "02 engineering and technology", "15. Life on land", "sensors", "0210 nano-technology", "7. Clean energy", "01 natural sciences", "[SPI.TRON] Engineering Sciences [physics]/Electronics", "0104 chemical sciences"]}, "links": [{"href": "http://xplorestaging.ieee.org/ielx7/9278947/9278778/09278984.pdf?arnumber=9278984"}, {"href": "https://doi.org/3116249518"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2020%207th%20International%20Conference%20on%20Energy%20Efficiency%20and%20Agricultural%20Engineering%20%28EE%26amp%3BAE%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3116249518", "name": "item", "description": "3116249518", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3116249518"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-11-12T00:00:00Z"}}, {"id": "2586114546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:48Z", "type": "Journal Article", "created": "2017-02-10", "title": "Influence of Mineral Composition on Sintering Lunar Regolith", "description": "AbstractThe authors investigate mechanical properties of sintered lunar regolith. Using JSC-1A and DNA lunar simulants, they study the influence of changes in glass content, main plagioclase series...", "keywords": ["Regolith sintering", "0203 mechanical engineering", "In situ resource utilization", "Plagioclase", "02 engineering and technology", "Moon", "Lunar soil", "0210 nano-technology", "Lunar simulants"]}, "links": [{"href": "https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0000721"}, {"href": "https://doi.org/2586114546"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Aerospace%20Engineering", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2586114546", "name": "item", "description": "2586114546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2586114546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-01T00:00:00Z"}}, {"id": "3216678516", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:19Z", "type": "Journal Article", "created": "2021-12-06", "title": "In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest Model", "description": "

The inherent biases of different long-term gridded surface soil moisture (SSM) products, unconstrained by the in situ observations, implies different spatio-temporal patterns. In this study, the Random Forest (RF) model was trained to predict SSM from relevant land surface feature variables (i.e., land surface temperature, vegetation indices, soil texture, and geographical information) and precipitation, based on the in situ soil moisture data of the International Soil Moisture Network (ISMN.). The results of the RF model show an RMSE of 0.05 m3 m\u22123 and a correlation coefficient of 0.9. The calculated impurity-based feature importance indicates that the Antecedent Precipitation Index affects most of the predicted soil moisture. The geographical coordinates also significantly influence the prediction (i.e., RMSE was reduced to 0.03 m3 m\u22123 after considering geographical coordinates), followed by land surface temperature, vegetation indices, and soil texture. The spatio-temporal pattern of RF predicted SSM was compared with the European Space Agency Climate Change Initiative (ESA-CCI) soil moisture product, using both time-longitude and latitude diagrams. The results indicate that the RF SSM captures the spatial distribution and the daily, seasonal, and annual variabilities globally.

", "keywords": ["feature importance", "Science", "0207 environmental engineering", "02 engineering and technology", "01 natural sciences", "antecedent precipitation index", "SDG 13 - Climate Action", "Global scale", "Antecedent precipitation index; Feature importance; Global scale; In situ constrained; Random forest; Soil moisture", "soil moisture; random forest; global scale; in situ constrained; feature importance; antecedent precipitation index", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "Antecedent precipitation index", "Q", "In situ constrained", "15. Life on land", "Feature importance", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "global scale", "Soil moisture", "soil moisture", "ITC-GOLD", "in situ constrained", "random forest", "Random forest"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://www.iris.unina.it/bitstream/11588/938135/1/2021_Ljie_Zeng_et_al_remotesensing.pdf"}, {"href": "https://www.mdpi.com/2072-4292/13/23/4893/pdf"}, {"href": "https://doi.org/3216678516"}, {"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": "3216678516", "name": "item", "description": "3216678516", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3216678516"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-12-02T00:00:00Z"}}, {"id": "PMC10938371", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:27:05Z", "type": "Journal Article", "created": "2024-01-29", "title": "Interspecific interactions facilitate keystone species in a multispecies biofilm that promotes plant growth", "description": "Abstract

Microorganisms colonizing plant roots co-exist in complex, spatially structured multispecies biofilm communities. However, little is known about microbial interactions and the underlying spatial organization within biofilm communities established on plant roots. Here, a well-established four-species biofilm model (Stenotrophomonas rhizophila, Paenibacillus amylolyticus, Microbacterium oxydans, and Xanthomonas retroflexus, termed as SPMX) was applied to Arabidopsis roots to study the impact of multispecies biofilm on plant growth and the community spatial dynamics on the roots. SPMX co-culture notably promoted root development and plant biomass. Co-cultured SPMX increased root colonization and formed multispecies biofilms, structurally different from those formed by monocultures. By combining 16S rRNA gene amplicon sequencing and fluorescence in situ hybridization with confocal laser scanning microscopy, we found that the composition and spatial organization of the four-species biofilm significantly changed over time. Monoculture P. amylolyticus colonized plant roots poorly, but its population and root colonization were highly enhanced when residing in the four-species biofilm. Exclusion of P. amylolyticus from the community reduced overall biofilm production and root colonization of the three species, resulting in the loss of the plant growth-promoting effects. Combined with spatial analysis, this led to identification of P. amylolyticus as a keystone species. Our findings highlight that weak root colonizers may benefit from mutualistic interactions in complex communities and hereby become important keystone species impacting community spatial organization and function. This work expands the knowledge on spatial organization uncovering interspecific interactions in multispecies biofilm communities on plant roots, beneficial for harnessing microbial mutualism promoting plant growth.