Brown shrimp (Farfantepenaeus aztecus) are a commercially important fishery species of the northern Gulf of Mexico. Young shrimp settle in estuarine salt marsh habitats during the juvenile phase of their life history, and processes that occur during their residency affect growth, survival, and recruitment of sub-adults to the fishery. We developed an agent based model that simulates the cumulative effects of temperature, salinity, and access to emergent marsh vegetation on juvenile brown shrimp growth and survival. Our model is spatially articulate, with three habitat types and three salinity zones it functions on an hourly time step to track growth and survival of shrimp super-individuals from recruitment into the shallow nursery habitats at 10 mm total length until they reach 70 mm and move into deeper bay water. We have compared our modeled shrimp production with various abundance and biomass data from fishery independent surveys. Preliminary analysis shows similarities in seasonal patterns, but annual variability in resource survey data appears higher than our modeled estimates. We are continuing to explore larval recruitment patterns and trophic interactions as possible interacting factors. Ultimately, we hope to use inter-annual variability in production estimates to reduce uncertainty in the current stock assessment model used by the US National Marine Fisheries Service.
About this Dataset
| Title | Simulating environmental effects on brown shrimp production in the northern Gulf of Mexico |
|---|---|
| Description | Brown shrimp (Farfantepenaeus aztecus) are a commercially important fishery species of the northern Gulf of Mexico. Young shrimp settle in estuarine salt marsh habitats during the juvenile phase of their life history, and processes that occur during their residency affect growth, survival, and recruitment of sub-adults to the fishery. We developed an agent based model that simulates the cumulative effects of temperature, salinity, and access to emergent marsh vegetation on juvenile brown shrimp growth and survival. Our model is spatially articulate, with three habitat types and three salinity zones it functions on an hourly time step to track growth and survival of shrimp super-individuals from recruitment into the shallow nursery habitats at 10 mm total length until they reach 70 mm and move into deeper bay water. We have compared our modeled shrimp production with various abundance and biomass data from fishery independent surveys. Preliminary analysis shows similarities in seasonal patterns, but annual variability in resource survey data appears higher than our modeled estimates. We are continuing to explore larval recruitment patterns and trophic interactions as possible interacting factors. Ultimately, we hope to use inter-annual variability in production estimates to reduce uncertainty in the current stock assessment model used by the US National Marine Fisheries Service. |
| Modified | 2025-04-04T13:19:51.961Z |
| Publisher Name | N/A |
| Contact | N/A |
| Keywords | DOC/NOAA/NMFS/SEFSC > Southeast Fisheries Science Center, National Marine Fisheries Service, NOAA, U.S. Department of Commerce , Galveston Fisheries Ecology Projects , oceans |
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