A flexible fully coupled oyster metapopulation modeling tool has been developed, calibrated and validated by a multidisciplinary team of modelers, agency scientists, and managers to  inform current and future oyster restoration and management planning, scenario analysis, and project performance.  The modeling project is supported by LDWF as the lead agency funded under the Monitoring and Adaptive Management Implementation Program (MAIP) by the DWH Louisiana Trustee Implementation Group (LA TIG).  The coupled metapopulation modeling approach is comprised of a 3D hydrodynamic (Hydro) model, an oyster larval transport model running on an hourly timestep, and an oyster reef individual-based model (IBM) running on a daily timestep and set up as point models across each coastal basin in Louisiana.  The Hydro model generates 3D outputs for water flow, temperature and salinity that are input to the larval transport model, and daily depth-averaged salinity and temperature outputs that are input to the reef IBM point models.  The larval transport model is sourced by egg production from the reef IBMs, and larval settlement from the larval transport model drives new spat recruitment on the reef IBMs.  Oyster model outputs for reef connectivity and larval settlement, and for reef density, size structure, total biomass, and egg production are used to determine (1) where LDWF should construct protected broodstock reefs, and (2) how oyster metapopulation persistence is maintained across a range of environmental conditions in each basin.   The key metapopulation outcomes for Barataria Basin are demonstrated as an example using different broodstock reef locations and designs.  The data gaps from the current modeling are described, and the next steps for the team to implement towards improved understanding and modeling are outlined for coastal Louisiana.