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Soil Settlement and Uplift Damage to Architectural Heritage Structures in Belgium: Country-Scale Results from an InSAR-Based Analysis
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Soil movement may be induced by a wide variety of natural and anthropogenic causes, which are detectable in the local scale, but may influence the movement of the soil over vast geographical expanses. Space borne interferometric synthetic aperture radar (InSAR) measurements of ground movement provide a method for the remote sensing of soil settlement and uplift over wide geographic areas. Based on this settlement and uplift evaluation, the assessment of the potential damage to architectural heritage structures is possible. In this paper an interdisciplinary monitoring and analysis method is presented that processes satellite, cadastral, patrimonial and building geometry data, used for the calculation of settlement and uplift damage to architectural heritage structures in Belgium. It uses processed InSAR data for the determination of the soil movement profile around each case study, of which the typology is determined from patrimonial information databases and the geometry is calculated from digital elevation models. The impact on the historic structures is calculated from the determined soil movement profile based on various soil-structure interaction models for buildings. The resulting damage is presented in terms of a numerical index illustrating its severity according to different criteria. In this way the potential soil movement damage is quantified in a large number of buildings in an easily interpretable and user-friendly fashion. The processing of InSAR data collected over the previous 3 decades allows the determination of the progress of settlement- and uplift-induced damage in this time period. With the integration of newly acquired and more accurate data, the methodology will continue to produce results in the coming years, both for the evaluation of soil settlement and uplift in Belgium as for introducing related damage risk data for existing architectural heritage buildings. Results of the analysis chain are presented in terms of potential current damage for selected areas and buildings.
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RBINS Staff Publications 2021
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Soil‑litter arthropod communities under pasture land use in southern Rwanda
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Land use change caused by human activities is the main driver of biodiversity loss and changes in ecosystem functioning. However, less is known about how the conversion of a natural to pasture land favour the biological diversity of soil-litter arthropods to advance efective conservation plans and management systems. To fll the gap, this study focussed on soil-litter arthropod communities under a pasture land use in southern Rwanda. Data have been collected using pitfall traps and hand collection between April and June 2021. Sampled specimens of soil-litter arthropods have been identifed to order and family levels by using dichotomous keys. Further, the species name was given when the identifcation key was available, while the morphological description was provided in absence of the identifcation keys. Results indicated a total of 3013 individuals of soil-litter arthropods grouped into 3 classes, 13 orders, 46 families and 87 morpho-species. Coleoptera showed a high number of families, while higher abundance and the number of morpho-species were found for ants (Hymenoptera: Formicidae). Higher abundance of sampled soil-litter arthropods is a sign that the studied area ofers suitable habitat for soil-litter arthropods. However, less abundance found for some groups of soil-litter arthropods might be infuenced by the used sampling techniques which were not appropriate for them. We recommend surveys using multiple sampling techniques to maximize chances of capturing a wide range of soil-litter arthropods
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RBINS Staff Publications 2022
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Solving crimes: a forensic rove beetles (Staphylinidae) barcode database for Belgium
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RBINS Staff Publications 2017
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Something different: excerpts from geology exams collected by a colleague in academia…
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RBINS Staff Publications
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Somewhere I belong: phylogeny and morphological evolution in a species-rich lineage of ectoparasitic flatworms infecting cichlid fishes
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RBINS Staff Publications 2021 OA
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SOOSmap: Your gateway to Antarctic data discovery
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The Southern Ocean is central to global ocean mixing and climate regulation via its disproportionate uptake of human-induced heat and carbon dioxide, yet the underlying processes are still poorly understood. Coordinated and sustained effort in observation and modelling of Southern Ocean processes in the past, present and future is therefore critical for understanding and mitigating the changes underway. Free and equitable access to Southern Ocean data is a fundamental prerequisite to meeting this objective. Here, we present a tool for discovery of, and access to, existing Southern Ocean data—SOOSmap, Version 2 (soosmap.aq). SOOSmap is a gateway to physical, biogeochemical and biological open-access data, free for anyone to use, from ocean science experts to classroom students. SOOSmap was developed in a collaboration of the Southern Ocean Observing System and the European Marine Observations and Data Network Physics project, with the aim to provide an easy to use one-stop-shop for Southern Ocean data held in repositories around the world. In this article, we illustrate the different methods of data access within SOOSmap, describe SOOSmap in the context of other polar data resources and initiatives, demonstrate how SOOSmap can be put into practice by a variety of stakeholders, and instruct users on how they can get involved in the SOOS community and contribute new data to SOOSmap, which is fundamental for this tool to continue to be useful for informing policy and decision-making about changes occurring in the Southern Ocean.
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RBINS Staff Publications 2025
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South American and Trinidadian terrestrial Gastropoda in the collection of the Museum of New Zealand Te Papa Tongarewa
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RBINS Staff Publications 2021 OA
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South American terrestrial Gastropoda in the collection of the Auckland War Memorial Museum
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RBINS Staff Publications 2023 OA
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Spatial and temporal occurrence of bats in the southern North Sea area
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RBINS Staff Publications 2017
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Spatio-temporal feedstock availability and techno-economic constraints in the design and optimization of supply chains: The case of domestic woody biomass for biorefining
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A future bio-based economy envisions the transformation of the petrochemical industry into using biomass such as wood (waste) as a major resource. The early-stage evaluation of a biorefinery project requires the optimization of the lay-out of the supply chain considering the spatio-temporal variability of the availability of feedstock and the techno-economical characteristics of the biorefinery process. Therefore, the presented methodology was developed combining three models: (1) a forest management and planning tool providing a detailed prediction on the wood resource availability as well as the harvested feedstock quantity and cost with respect to location and time, (2) a techno-economic assessment model of the biorefinery process (e.g., species-specific conditions, capacity, CAPEX, OPEX), and (3) a strategic supply chain optimization model combining the insights of (1) and (2) into a spatio-temporal explicit supply chain analysis. The developed methodology has been evaluated through a case-study on the emerging reductive catalytic fractionation (RCF) biorefining in the Flanders region (EU) and shows that the most economically interesting configuration is one large biorefinery with a yearly wood chip intake of 150 kton. The biorefinery location reflects the available feedstock distribution in Flanders and is suggested to be situated best in the most forested region. The proposed methodology proved to be dynamic and robust: (1) input data and technical calculations can easily be adapted or updated; (2) the methodology can be applied to a broad range of applications beyond the scope of the biorefinery, to different feedstock choices; (3) the impact of the biorefinery location on e.g. energy balance, CO2 emissions, and financial balance can be assessed.
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RBINS Staff Publications 2024