Titre :

Remote sensing provides new insights on phytoplankton biomass dynamics and black pearl oyster life-history traits in a Pacific Ocean deep atoll

Auteur(s) :

Lefebvre, Sébastien [Auteur]
Verpoorter, Charles [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Rodier, Martine [Auteur]
Institut méditerranéen d'océanologie [MIO]
Sangare, Nathanaël [Auteur]
Andréfouët, Serge [Auteur]

Titre de la revue :

Marine Pollution Bulletin

Pagination :

113863

Éditeur :

Elsevier

Date de publication :

2022

ISSN :

0025-326X

Mot(s)-clé(s) en anglais :

Landsat-8
time series
Plankton
Aquaculture
DEB model
Pinctada margaritifera

Résumé en anglais : [en]

Thus far, no long-term in situ observation of planktonic biomass have been undertaken to optimize the black-lippearl oyster aquaculture in the remote Tuamotu atolls. The feasibility of using data from the OLI sensor ...
Lire la suite >Thus far, no long-term in situ observation of planktonic biomass have been undertaken to optimize the black-lippearl oyster aquaculture in the remote Tuamotu atolls. The feasibility of using data from the OLI sensor onboardLandsat-8 satellite to determine chlorophyll a concentrations (Chla) in a deep atoll, Ahe, was then assessed overthe 2013–2021 period using 153 images. Validations with in situ observations were satisfactory, while seasonaland spatial patterns in Chla were evidenced within the lagoon. Then, a bioenergetic modelling exercise wasundertaken 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 to45.3 months) and reproductive outputs (0.5 to 1.7 event year 1). This first study shows the potential of usingremote sensing to monitor the trophic status of deep pearl farming lagoons and help aquaculture management.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

Gestion des Atolls

Collections :

• Laboratoire d'Océanologie et de Géosciences (LOG) - UMR 8187

Source :

Harvested from HAL