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Article Reference Using self–organizing maps and machine learning models to assess mollusc community structure in relation to physicochemical variables in a West Africa river–estuary system
Located in Library / RBINS Staff Publications 2021
Article Reference Utilitarian framings of biodiversity shape environmental impact assessment in development cooperation
Biodiversity is under threat from anthropogenic pressures, in particular in biodiversity-rich developing countries. Development cooperation actors, who traditionally focus on the improvement of socio-economic conditions in the South, are increasingly acknowledging the linkages between poverty and biodiversity, e.g. by referring to the ecosystem services framework. However, there are many different framings which stress the need for biodiversity integration and which influence how biodiversity and development are and/or should be linked. Moreover, there is a gap between the lip service paid to biodiversity integration and the reality of development cooperation interventions. This study analyses how biodiversity framings are reflected in environmental impact assessment (EIA) practice, and how these framings influence EIA and decision-making. The findings, based on an in-depth qualitative analysis of World Bank EIAs undertaken in West Africa, indicate the incoherent quality but also the dominance of the‘utilitarian’ and‘corrective’ framings, which respectively stress human use of nature and mitigation of negative unintended development impacts. Identifying and highlighting these discursive trends leads to increased awareness of the importance of biodiversity among all development actors in North and South. However, some framings may lead to an overly narrow human-centred approach which downplays the intrinsic value of biodiversity. This study proposes recommendations for an improved integration of biodiversity in development cooperation, including the need for more systematic baseline studies in EIAs.
Located in Library / RBINS Staff Publications 2017
Article Reference Utility of Classical a-Taxonomy for Biodiversity of Aquatic Nematodes
Located in Library / RBINS Staff Publications
Article Reference Utility of GenBank and the Barcode of Life Data Systems (BOLD) for the identification of forensically important Diptera from Belgium and France
Located in Library / RBINS Staff Publications
Article Reference Validating a biophysical dispersal model with the early life-history traits of common sole (Solea solea L.)
Larval dispersal and juvenile survival are crucial in determining variation in recruitment, stock size and adult distribution of commercially important fish. This study investigates the dispersal of early-life stages of common sole (Solea solea L.) in the southern North Sea, both empirically and through modeling. Age at different life-history events of juvenile flatfish sampled along the coasts of Belgium, the Netherlands and the United Kingdom in 2013, 2014 and 2016, was determined through the counting of daily growth rings in the otoliths. Juveniles captured between August and October were estimated to be on average 140 days old with an average pelagic larval duration of 34 days. The hatching period was estimated between early April and mid-May followed by arrival and settlement in the nurseries between May and mid-June. Growth rates were higher off the Belgian coast than in the other nursery areas, especially in 2013, possibly due to a post-settlement differentiation. Empirical pelagic larval duration and settlement distributions were compared with the LARVAE&CO larval dispersal model, which combines local hydrodynamics in the North Sea with sole larval behavior. Yearly predicted and observed settlement matched partially, but the model estimated a longer pelagic phase. The observations fitted even better with the modelled average (1995–2015) distribution curves. Aberrant results for the small juvenile sole sampled along the UK coast in March 2016, led to the hypothesis of a winter disruption in the deposition of daily growth rings, potentially related to starvation and lower food availability. The similarities between measured and modelled distribution curves cross-validated both types of estimations and accredited daily ageing of juveniles as a useful method to calibrate biophysical models and to understand early-life history of fish, both important tools in support of efficient fisheries management strategies.
Located in Library / RBINS Staff Publications 2020
Article Reference Validating the probabilistic sex diagnosis (DSP) method with a special test case on Pre-Columbian mummies (including the famous Rascar Capac)
Many museums have either one or more mummies in their collections. The Royal Museums of Art and History in Brussels is no exception and houses several Pre-Columbian mummies, including the one that inspired Hergé, author of the Tintin comics, to create the character of ‘Rascar Capac’. The accurate identification of the sex of a particular mummy is important for testing hypotheses about social structures in ancient societies. Sexing of mummies is mostly based on visual analysis from CT and MRI scans and macroscopic examination from the skeletal tissue such as genitalia and breasts, although skeletal tissue is not always well preserved. Probabilistic Sex Diagnosis (DSP: Diagnose Sexuelle Probabiliste) is a sex estimation method which has recently proved to be highly effective on different modern human and ancient European populations. The aim of this study was to see if it was possible to apply and validate virtual DSP on a study of four ancient Pre-Columbian mummies from South America (which are outside the reference population of DSP). Virtual DSP was performed in the software ‘lhpFusionBox’. All mummies were CT scanned, 3D models were created and virtual DSP was performed. Sex was determined with a probability of 99.9% or over in all cases (DSP determined one male and three females). Preserved skeletal tissue remains confirmed DSP results in half of the mummies. A Principal Components Analysis (PCA) was performed on the DSP results of the mummies and a modern human (MH) population. Half of the mummies were outside the 95% range of the DSP values of MH, largely due to their smaller size. When size was accounted for, they were within the MH range. The unknown sex mummies identified as females by DSP were found to be grouped with the known sex female mummy and the MH females. Similarly, the unknown sex mummy identified as male by DSP was also found to be grouped with MH males. The use of PCA analysis on DSP results is an effective tool to validate DSP results, even with individuals outside of the reference population. Despite differences in size from ancient to modern humans, DSP was found to be accurate and can be used with mummies and other ancient populations from different countries around the world.
Located in Library / RBINS Staff Publications 2020
Article Reference Validation of Landsat 8 high resolution Sea Surface Temperature using surfers
Nearshore coastal waters are highly dynamic in both space and time. They can be difficult to sample using conventional methods due to their shallow depth, tidal variability, and the presence of strong currents and breaking waves. High resolution satellite sensors can be used to provide synoptic views of Surface Temperature (ST), but the performance of such ST products in the nearshore zone is poorly understood. Close to the shoreline, the ST pixels can be influenced by mixed composition of water and land, as a result of the sensor’s spatial resolution. This can cause thermal adjacency effects due to the highly different diurnal temperature cycles of water bodies and land. Previously, temperature data collected during surfing sessions has been proposed for validation of moderate resolution (1 km pixel size) satellite ST products. In this paper we use surfing temperature data to validate three high resolution (100 m resampled to 30 m pixel size) ST products derived from the Thermal InfraRed Sensor (TIRS) on board Landsat 8 (L8). ST was derived from Collection 1 and 2 Level 1 data (C1L1 and C2L1) using the Thermal Atmospheric Correction Tool (TACT), and was obtained from the standard Collection 2 Level 2 product (USGS C2L2). This study represents one of the first evaluations of the new C2 products, both L1 and L2, released by USGS at the end of 2020. Using automated matchup and image quality control, 88 matchups between L8/TIRS and surfers were identified, distributed across the North-Western semihemisphere. The unbiased Root Mean Squared Difference (uRMSD) between satellite and in situ measurements was generally ¡ 2 K, with warm biases (Mean Average Difference, MAD) of 1.7 K (USGS C2L2), 1.3 K (TACT C1L1) and 0.8 K (TACT C2L1). Large interquartile ranges of ST in 5 × 5 satellite pixels around the matchup location were found for several images, especially for the summer matchups around the Californian coast. By filtering on target stability the number of matchups reduced to 31, which halved the uRMSD across the three methods (to around 1.1K), MAD were much lower, i.e. 1.1 K (USGS C2L2), 0.6 K (TACT C1L1), and 0.2 K (TACT C2L1). The larger biases of the C2L2 product compared to TACT C2L1 are caused as a result of: (1) a lower emissivity value for water targets used in USGS C2L2, and (2) differences in atmospheric parameter retrieval, mainly from differences in upwelling atmospheric radiance and lower atmospheric transmittance retrieved by USGS C2L2. Additionally, tiling artefacts are present in the C2L2 product, which originate from a coarser atmospheric correction process. Overall, the L8/TIRS derived ST product compares well with in situ measurements made while surfing, and we found the best performing ST product for nearshore coastal waters to be the Collection 2 Level 1 data processed with TACT.
Located in Library / RBINS Staff Publications 2022
Article Reference application/x-troff-ms Validation of the 3D biogeochemical model MIRO&CO with field nutrient and phytoplankton data and MERIS-derived surface chlorophyll a images.
This paper presents results obtained with MIRO&CO-3D, a biogeochemical model dedicated to the study of eutrophication and applied to the Channel and Southern Bight of the North Sea (48.5°N–52.5°N). The model results from coupling of the COHERENS-3D hydrodynamic model and the biogeochemical model MIRO, which was previously calibrated in a multi-box implementation. MIRO&CO-3D is run to simulate the annual cycle of inorganic and organic carbon and nutrients (nitrogen, phosphorus and silica), phytoplankton (diatoms, nanoflagellates and Phaeocystis), bacteria and zooplankton (microzooplankton and copepods) with realistic forcing (meteorological conditions and river loads) for the period 1991–2003. Model validation is first shown by comparing time series of model concentrations of nutrients, chlorophyll a, diatom and Phaeocystis with in situ data from station 330 (51°26.00′N, 2°48.50′E) located in the centre of the Belgian coastal zone. This comparison shows the model's ability to represent the seasonal dynamics of nutrients and phytoplankton in Belgian waters. However the model fails to simulate correctly the dissolved silica cycle, especially during the beginning of spring, due to the late onset (in the model) of the early spring diatom bloom. As a general trend the chlorophyll a spring maximum is underestimated in simulations. A comparison between the seasonal average of surface winter nutrients and spring chlorophyll a concentrations simulated with in situ data for different stations is used to assess the accuracy of the simulated spatial distribution. At a seasonal scale, the spatial distribution of surface winter nutrients is in general well reproduced by the model with nevertheless a small overestimation for a few stations close to the Rhine/Meuse mouth and a tendency to underestimation in the coastal zone from Belgium to France. PO4 was simulated best; silica was simulated with less success. Spring chlorophyll a concentration is in general underestimated by the model. The accuracy of the simulated phytoplankton spatial distribution is further evaluated by comparing simulated surface chlorophyll a with that derived from the satellite sensor MERIS for the year 2003. Reasonable agreement is found between simulated and satellite-derived regions of high chlorophyll a with nevertheless discrepancies close to the boundaries.
Located in Library / RBINS Staff Publications
Article Reference Validité du genre Olentangiella CASIER, 1985 (Ostracoda, Dévonien): réponse à la note de G. BECKER (1990).
Located in Library / RBINS Staff Publications
Article Reference Valve chemistry of Limnocythere inopinata (Ostracoda) in a cold arid environment - implications for paleolimnological interpretation
Located in Library / RBINS Staff Publications