Remote sensing provides new insights on phytoplankton biomass dynamics and black pearl oyster life-history traits in a Pacific Ocean deep atoll Lefebvre, S. Verpoorter, C. /Rodier, Martine Sangare, N. /Andréfouët, Serge Landsat-8, time series Plankton Aquaculture DEB model Pinctada margaritifera Thus far, no long-term in situ observation of planktonic biomass have been undertaken to optimize the black-lip pearl oyster aquaculture in the remote Tuamotu atolls. The feasibility of using data from the OLI sensor onboard Landsat-8 satellite to determine chlorophyll a concentrations (Chla) in a deep atoll, Ahe, was then assessed over the 2013-2021 period using 153 images. Validations with in situ observations were satisfactory, while seasonal and spatial patterns in Chla were evidenced within the lagoon. Then, a bioenergetic modelling exercise was undertaken to estimate oyster life-history traits when exposed to the retrieved Chla. The outputs provide spatio-temporal variations in pelagic larval duration (11.1 to 30.6 days), time to reach commercial size (18.8 to 45.3 months) and reproductive outputs (0.5 to 1.7 event year(-1)). This first study shows the potential of using remote sensing to monitor the trophic status of deep pearl farming lagoons and help aquaculture management. 2022 text https://www.documentation.ird.fr/hor/fdi:010085892 fdi:010085892 Lefebvre S., Verpoorter C., Rodier Martine, Sangare N., Andréfouët Serge. Remote sensing provides new insights on phytoplankton biomass dynamics and black pearl oyster life-history traits in a Pacific Ocean deep atoll. 2022, 181, 113863 [13 p.] EN PACIFIQUE POLYNESIE FRANCAISE TUAMOTU ARCHIPEL