Based on a thorough literature review and expert consultation, this study provides an inventory of all introduced non-indigenous species (iNIS) reported for Belgian marine and brackish waters. The data indicate a strong increase in iNIS in the study area from the 1990s onward, averaging 2.2 newly detected species per year, with a cumulative total of 108 iNIS between 1800 and 2024. The majority of these iNIS have the Northwestern Pacific or Northwestern Atlantic as their native region and are primarily introduced in Western Europe via shipping or aquaculture. In addition to compiling the inventory, the context in which the iNIS are detected is examined, distinguishing between official monitoring programs, project-based data collection efforts, and citizen science initiatives. Our findings indicate that while the EU aims to promote coordination between its Marine Strategy Framework Directive (MSFD) and Water Framework Directive (WFD), a misalignment occurs in the practical implementation of iNIS monitoring at the Belgian level. For example, a coherent and integrated monitoring framework across marine, brackish, and freshwater systems is still lacking. Furthermore, despite the EU’s ambition to ensure comprehensive iNIS monitoring, no legal framework currently mandates targeted monitoring in coastal ports, despite their well-documented role as hotspots for new marine introductions. After all, iNIS monitoring is only mandatory under the MSFD, which in essence applies only seaward from the coastal baseline and therefore does not cover waters within these ports. In addition, while the EU’s IAS Regulation has recently incorporated a few marine species on the Union list, its monitoring requirements remain primarily focused on terrestrial and freshwater species. As a result, observations published by citizens with significant expertise in the field represent the primary source of marine iNIS data in coastal port areas in recent decades in Belgium. The fragmentary nature of iNIS data complicates the efficient flow of information to international or European iNIS reference databases that support policy and decision-making. Yet, even species officially reported by Member States under MSFD Descriptor 2 are not always included in these reference databases. Nonetheless, accurate data on iNIS presence and distribution are essential for effectively targeting and managing iNIS.
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RBINS Staff Publications 2025
The Royal Belgian Institute of Natural Sciences (RBINS), the Royal Museum for Central Africa (RMCA) and Meise Botanic Garden house more than 50 million specimens covering all fields of natural history. While many different research topics have their own specificities, throughout the years it became apparent that with regards to collection data management, data publication and exchange via community standards, collection holding institutions face similar challenges (James et al. 2018, Rocha et al. 2014). In the past, these have been tackled in different ways by Belgian natural history institutions. In addition to local and national collaborations, there is a great need for a joint structure to share data between scientific institutions in Europe and beyond. It is the aim of large networks and infrastructures such as the Global Biodiversity Information Facility (GBIF), the Biodiversity Information Standards (TDWG), the Distributed System of Scientific collections (DiSSCo) and the Consortium of European Taxonomic Facilities (CETAF) to further implement and improve these efforts, thereby gaining ever increasing efficiencies. In this context, the three institutions mentioned above, submitted the NaturalHeritage project (http://www.belspo.be/belspo/brain-be/themes\_3\_HebrHistoScien\_en.stm) granted in 2017 by the Belgian Science Policy Service, which runs from 2017 to 2020. The project provides links among databases and services. The unique qualities of each database are maintained, while the information can be concentrated and exposed in a structured way via one access point. This approach aims also to link data that are unconnected at present (e.g. relationship between soil/substrate, vegetation and associated fauna) and to improve the cross-validation of data. (1) The NaturalHeritage prototype (http://www.naturalheritage.be) is a shared research portal with an open access infrastructure, which is still in the development phase. Its backbone is an ElasticSearch catalogue, with Kibana, and a Python aggregator gathering several types of (re)sources: relational databases, REpresentational State Transfer (REST) services of objects databases and bibliographical data, collections metadata and the GBIF Internet Publishing Toolkit (IPT) for observational and taxonomical data. Semi-structured data in English are semantically analysed and linked to a rich autocomplete mechanism. Keywords and identifiers are indexed and grouped in four categories (“what”, “who”, “where”, “when”). The portal can act also as an Open Archives Initiatives Protocol for Metadata Harvesting (OAI-PMH) service and ease indexing of the original webpage on the internet with microdata enrichment. (2) The collection data management system of DaRWIN (Data Research Warehouse Information Network) of RBINS and RMCA has been improved as well. External (meta)data requirements, i.e. foremost publication into or according to the practices and standards of GBIF and OBIS (Ocean Biogeographic Information System: https://obis.org) for biodiversity data, and INSPIRE (https://inspire.ec.europa.eu) for geological data, have been identified and evaluated. New and extended data structures have been created to be compliant with these standards, as well as the necessary procedures developed to expose the data. Quality control tools for taxonomic and geographic names have been developed. Geographic names can be hard to confirm as their lack of context often requires human validation. To address this a similarity measure is used to help map the result. Species, locations, sampling devices and other properties have been mapped to the World Register of Marine Species and DarwinCore (http://www.marinespecies.org), Marine Regions and GeoNames, the AGRO Agronomy and Vertebrate trait ontologies and the British Oceanographic Data Centre (BODC) vocabularies (http://www.obofoundry.org/ontology/agro.html). Extensive mapping is necessary to make use of the ExtendedMeasurementOrFact Extension of DarwinCore (https://tools.gbif.org/dwca-validator/extensions.do).
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RBINS Staff Publications 2019
