Subtidal natural hard substrates (SNHS) promote occupancy by rich benthic communities that provide irreplaceable and fundamental ecosystem functions, representing a global priority target for nature conservation and recognised in most European environmental legislation. However, scientifically validated methodologies for their quantitative spatial demarcation, including information on species occupancy and fine-scale environmental drivers (e.g., the effect of stone size on colonisation) are rare. This is, however, crucial information for sound ecological management. In this investigation, high-resolution (1 m) multibeam echosounder (MBES) depth and backscatter data and derivates, underwater imagery (UI) by video drop-frame, and grab sediment samples, all acquired within 32 km2 of seafloor in offshore Belgian waters, were integrated to produce a random forest (RF) spatial model, predicting the continuous distribution of the seafloor areal cover/m2 of the stones’ grain sizes promoting colonisation by sessile epilithic organisms. A semi-automated UI acquisition, processing, and analytical workflow was set up to quantitatively study the colonisation proportion of different grain sizes, identifying the colonisation potential to begin at stones with grain sizes Ø ≥ 2 cm. This parameter (i.e., % areal cover of stones Ø ≥ 2 cm/m2) was selected as the response variable for spatial predictive modelling. The model output is presented along with a protocol of error and uncertainty estimation. RF is confirmed as an accurate, versatile, and transferable mapping methodology, applicable to area-wide mapping of SNHS. UI is confirmed as an essential aid to acoustic seafloor classification, providing spatially representative numerical observations needed to carry out quantitative seafloor modelling of ecologically relevant parameters. This contribution sheds innovative insights into the ecologically relevant delineation of subtidal natural reef habitat, exploiting state-of-the-art underwater remote sensing and acoustic seafloor classification approaches.
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RBINS Staff Publications 2021
Accurate species identification is crucial in the One Health framework because it underpins the ability to effectively monitor, prevent, and mitigate the emergence and spread of human and animal infectious diseases and zoonoses. Moreover, misidentification can lead to inadequate risk assessments, allowing infectious agents or invasive alien species to spread undetected, thereby threatening biodiversity, ecosystem stability, and public health. BopCo is a Belgian research unit that provides such accurate identifications of organisms and biological tissues with relevance for policy and decision-making processes. It is jointly run by the Royal Belgian Institute of Natural Sciences and the Royal Museum for Central Africa, and has access to extensive reference collections, expert taxonomists, and a comprehensive research infrastructure. BopCo uses morphology and DNA-based approaches to handle on-demand species identification requests, and it is a partner on various projects within the One Health context. In this framework, BopCo contributes to identifying the introduction pathways and dispersal dynamics of two invasive mosquito species in Belgium, Aedes albopictus and Ae. japonicus, as part of the MEMO+ project in collaboration with Sciensano and the Institute of Tropical Medicine. Using various DNA identification techniques, BopCo verifies the species identity of the exotic mosquitoes collected at multiple points of entry. Similarly, the Medical Component of the Belgian Armed Forces is investigating the Culicidae mosquito biodiversity at foreign deployment sites. BopCo takes part in this project by providing DNA-based identifications to support the Laboratory for Vector-Borne Diseases of the Queen Astrid Military Hospital. Accurate identification of the various mosquito species is important since they are known vectors of pathogens of significant public health concern such as Western Nile virus, Plasmodium parasites, and dengue virus. Furthermore, BopCo is involved in the monitoring of (exotic) animal product imports into Belgium within the INTERCEPT project, in collaboration with the University of Antwerp. Within this project, meat intercepted from passenger’s luggage at Brussels Airport was sampled and identified using DNA barcoding to prevent the import of transmittable animal diseases and the introduction of invasive alien species. Finally, BopCo contributed to the discovery of the first occurrence of Trichobilharzia regenti in Belgium, a blood parasite of birds, which may try to infect humans, triggering painful skin lesions known as “swimmer’s itch”. Following a reported case in Kampenhout, Belgium, researchers at the Royal Museum for Central Africa and KU Leuven captured freshwater snails (the intermediate hosts) and performed a shedding experiment, after which BopCo used a DNA analysis to identify the shed parasites, unveiling the presence of T. regenti. BopCo continually seeks partnerships with research institutes and government agencies to deliver accurate species identifications within a One Health framework and other policy-relevant research contexts.
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RBINS Staff Publications 2025
