Second, the objectives were to characterize the planktonic communities of Ahe lagoon at different seasons also using new investigation approaches never used before in Tuamotu atoll lagoons. As much

as possible, the influence of pearl farming on planktonic communities was assessed. Third, biology and ecophysiology of oysters at adult and larval stages was investigated. Reproduction, grazing and larval dispersal were monitored in situ in several periods under different environmental conditions. This third project component benefited from additional source of funding. The hydrodynamic component of the project had two main sub-components following Andréfouët et al. (2006) recommendations: an oceanic and a lagoon sub-component. Erlotinib The oceanic and atmospheric forcing of the atoll was classically studied using meteorological data and model. However, the wave regime of the atoll was characterized at high spatial resolution (5 km) using both wave numerical model and satellite altimetry data (Andréfouët et al., 2012). The study shows that MK0683 Ahe atoll experienced an atypical wave regime, with lower wave height year round than other Tuamotu atolls. This is due to the level of protection of the atoll provided by south Tuamotu atolls. The consequences are that Ahe’s lagoon renewal rate is controlled by tide, and not waves. To precisely study the circulation and

renewal rates of Ahe’s lagoon, Dumas et al. (2012) implemented a high resolution (100 m) 3D numerical model using the Mars3D software and assumptions, using finite difference techniques in a sigma coordinate framework. The model was calibrated 2-hydroxyphytanoyl-CoA lyase and validated using one year of intensive field data acquisition. It provided simulated quantitative data

on the three main residual barotropic structures inside the lagoon, under different wind conditions. This demonstrated that the pass played a major role in the hydroscape of the lagoon. It defined areas of high flushing rates, areas of dilution and areas of retention. Circulation is driven by wind. Wind (generally from the east and south-east directions) creates a general overturning circulation parallel to the wind direction and contributes to bring nutrients to the downwind upwelling areas. The 3D model was fully used by Thomas et al. (2012a) to complete with connectivity matrices and dispersal scenarios the mapping of the distribution and the dynamics of bivalve larvae as observed in situ ( Thomas et al., 2012b). Models were run under climatological and realistic wind condition scenarios. The connectivity modelling provided maps of the most suitable areas for spat collection under different weather conditions. The hydrodynamic 3D model was refined for this objective by using a vertical swimming sub-model validated in situ ( Thomas et al., 2012b).