Search publications of the members of the Royal Belgian institute of natural Sciences
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Southern Ocean benthic deep-sea biodiversity and biogeography
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Data distribution: Patterns and implications
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Impact of projected wind and temperature changes on larval recruitment of sole in the North Sea.
- The impact of climate change on larval dispersal remains poorly known. The case of sole (Solea solea) is of particular interest because it is one of the most valuable commercial species in the North Sea. It is important to understand how the retention/dispersal of larvae would be affected by climate change in order to propose appropriate measures for stock management. The transport of sole larvae from the spawning grounds to the nurseries is driven by hydrodynamic processes but the final dispersal pattern and larval abundance may be affected by behavioural and environmental factors. A temperature increase could affect for instance the spawning period, the duration of the pelagic stage, the mortality of eggs and larvae, and the match-mismatch with prey fields. Modifications in the magnitude and direction of the wind regime might affect egg and larval retention and dispersal through changes in the hydrodynamics. We compare scenarios of a particle-tracking transport model (IBM) coupled to a 3D hydrodynamic model (COHERENS) to investigate the impact of climate change through temperature increase and wind regime change. The model has been implemented in the area between 48.5°N-4°W and 57°N-10°E over the period 1995 to 2011. A larval mortality parameterization based on remote sensing algal bloom timing is tested. Sensitivity of larval recruitment to climate change is assessed by estimating the impact of a hypothetical (i) temperature increase and (ii) changes in wind magnitude/direction following IPCC scenarios. The results of projections will be discussed relatively to interannual variability.
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Variability in radiocarbon dates in Middle Pleniglacial wood from Kurtak (Central Siberia)
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Integrating field data to parameterize a larval transport model of sole and improve knowledge on recruitment in the North Sea.
- Inter-annual recruitment variability of sole (Solea solea) in the North Sea is high. Among many fish taxa, the early life stages are critical in determining recruitment. With a Lagrangian larval transport model, coupling a physical model with an Individual-Based Model (IBM), it has been shown that hydrodynamics explains part of this variability in sole (Lacroix et al. 2013). IBMs require a good knowledge of the biological processes governing larval dispersal. However, it is difficult to obtain observations of life history traits; their estimates may strongly influence larval connectivity / retention and successful migration as predicted by the model. Various assumptions about these traits can be tested by comparing simulation results with field data. Several datasets, from the literature and from a 2-year-long monthly sampling at 13 stations in the southern North Sea, will be used to identify the most plausible model parameterisation. It represents a first step towards the calibration and improvement of a larval dispersal model of sole in the North Sea and the development of a tool for fisheries management.
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Seaborne measurements of near infrared water-leaving reflectance: The similarity spectrum for turbid waters
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Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters
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A dual-nutrient-reduction strategy to control eutrophication in the southern North Sea continental waters.
- For decades the marine ecological models have sustained progressive developments and been subjected to an increasing degree of complexity in their processes, forcings and parameterization. In parallel, the validation techniques have evolved from visual to statistical comparisons, allowing fair estimates of the bias and correlations between model results and reference data. Still, it is difficult to estimate in advance what will be the uncertainty attached to any model prediction because of the complexity of the ecological models and the non linearity of their response to a change. Also, it is not trivial to determine the uncertainty of the model response due to one specific forcing, especially when this forcing is variable in time and space. The uncertainty in an ecological model response is somewhat linked to the model sensitivity to a perturbation. Since the non-linear model response to a perturbation may vary in a wide range of possibilities, we chose to base our assessment on the probability theory by applying a “light” Monte-Carlo experiment. It consists in a reduced number of randomly-perturbed simulations where knowledge of the system allows narrowing the range of perturbations. We applied the light Monte-Carlo experiment on a biogeochemical model in the English Channel and the southern North Sea (3D-MIRO&CO). The uncertainty on modelled chlorophyll a prediction was studied as a response, first, to random wind perturbations and, second, to random phytoplankton autolysis values. Statistical and probabilistic quantification of the results is being presented for the Belgian coastal and offshore zones.
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Optical teledetection of chlorophyll a in estuarine and coastal waters
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A chlorophyll-retrieval algorithm for satellite imagery (Medium Resolution Imaging Spectrometer) of inland and coastal waters
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Effect of a waveband shift on chlorophyll retrieval from MERIS imagery of inland and coastal waters
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Retrieval of oceanic constituents from ocean color using simulated annealing
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Presentation of a family of turbulence closure models for stratified shallow water flows and preliminary application to the Rhine outflow region
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Preface - 27th International Liege Colloquium on Ocean Hydrodynamics - Liege, May 8-12, 1995 - Processes in Regions of Freshwater Influence
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Model of remote-sensing reflectance including bidirectional effects for case 1 and case 2 waters
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Haline stratification in the Rhine-Meuse freshwater plume - a 3-dimensional model sensitivity analysis
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Optical remote sensing of chlorophyll a in case 2 waters by use of an adaptive two-band algorithm with optimal error properties
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Optical remote sensing in support of eutrophication monitoring in Belgian waters
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A coastal ocean model intercomparison study for a three-dimensional idealised test case
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The spectral reflectance and transparency of river plume waters
