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Inproceedings Reference Preliminary validation of MERIS water products for Belgian coastal waters
Located in Library / RBINS Staff Publications
Inproceedings Reference Remote sensing of suspended particulate matter in turbid waters: state of the art and future perspectives
Located in Library / RBINS Staff Publications
Inproceedings Reference The Biogeographic Atlas of the Southern Ocean
Located in Library / RBINS Staff Publications
Inproceedings Reference Intra-annual variations of the diet of gentoo penguins (Pygoscelis papua) at South Georgia (Southern Ocean)
Located in Library / RBINS Staff Publications
Conference Reference 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.
Located in Library / RBINS Staff Publications
Conference Reference 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.
Located in Library / RBINS Staff Publications
Conference Reference 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.
Located in Library / RBINS Staff Publications
Inproceedings Reference Retrieval of oceanic constituents from ocean color using simulated annealing
Located in Library / RBINS Staff Publications
Inproceedings Reference Optical remote sensing in support of eutrophication monitoring in Belgian waters
Located in Library / RBINS Staff Publications
Inproceedings Reference The COASTCOLOUR dataset
The objective of the ESA DUE CoastColour project is to fully exploit the potential of the MERIS instrument for remote sensing of the coastal zone. The product requirements have been derived from a user consultation process. Users have provided in-situ data from many locations, which were used for algorithm development and validation. The MERIS data archive from 2005 onwards has been processed with the finally selected algorithms for 27 globally distributed coastal sites. The CoastColour dataset comprises an improved Level 1b product (L1P), a product that contains directional and normalised water leaving reflectances (L2R) and a product for water properties (L2W). The total data volume is 100TB. All data are online and available from the CoastColour Website. A near real time service was operated from October 2011 until end of the ENVISAT mission. Plans exist to continue the service with Sentinel data.
Located in Library / RBINS Staff Publications