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• W2110731830 abstract "MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 444:155-173 (2012) - DOI: https://doi.org/10.3354/meps09431 Predicting the effects of freshwater diversions on juvenile brown shrimp growth and production: a Bayesian-based approach Aaron T. Adamack1,5,*, Craig A. Stow2, Doran M. Mason2, Lawrence P. Rozas3, Thomas J. Minello4 1Cooperative Institute for Limnology and Ecosystems Research, University of Michigan, Ann Arbor, Michigan 48108, USA 2NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, Michigan 48108, USA 3NOAA National Marine Fisheries Service/SEFSC, Estuarine Habitats and Coastal Fisheries Center, Lafayette, Louisiana 70506, USA 4NOAA National Marine Fisheries Service/SEFSC, Galveston Laboratory, Galveston, Texas 77551, USA 5Present address: Institute for Applied Ecology, University of Canberra, Canberra, ACT 2601, Australia *Email: aaron.adamack@canberra.edu.au ABSTRACT: Freshwater diversions from the Mississippi River may help restore coastal wetlands in Louisiana, but their implementation will alter temperature and salinity regimes, potentially affecting juvenile shrimp growth and production. We developed a bioenergetics model for brown shrimp Farfantepenaeus aztecus to investigate water temperature and salinity effects on brown shrimp growth. The model used a Bayesian framework that provided estimates of parameter and model uncertainty. Temperature affected shrimp metabolism, whereas salinity modified food availability. Mortality was modeled using a size-dependent function. We examined the effects of diversion timing (February, March, April and May), length (2× 14, as well as 30 and 60 d), temperature change (+1, 0, −1, −5 and –10°C), initial salinity (5, 15, 25), salinity during the diversion (2, 5, 10, 15, 20 and 25) and prey biomass response time (7, 14 and 28 d) on juvenile brown shrimp production. Diversions during February and March had little effect on shrimp, but 30 and 60 d diversions starting in April and May often had large, negative effects on production. April and May diversions that dropped water temperature by 5°C or more could decrease juvenile brown shrimp production by 40 to 60% compared with the baseline, no diversion scenarios. Whether changes in salinity had a positive or negative effect on brown shrimp production depended on the initial salinity of the scenario. Longer diversions and slower prey response times extended the duration brown shrimp were exposed to either the positive or negative effects of diversions, and this ­magnified the overall (positive or negative) effect on shrimp production. Limiting diversions to February and March when brown shrimp populations are not abundant would minimize negative effects on shrimp production, though managers will be constrained by the needs of other species such as oysters, as well as ecosystem considerations. KEY WORDS: Farfantepenaeus aztecus · Restoration · Salt marsh · Freshwater diversion · Mississippi River · Louisiana Full text in pdf format PreviousNextCite this article as: Adamack AT, Stow CA, Mason DM, Rozas LP, Minello TJ (2012) Predicting the effects of freshwater diversions on juvenile brown shrimp growth and production: a Bayesian-based approach. Mar Ecol Prog Ser 444:155-173. https://doi.org/10.3354/meps09431 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 444. Online publication date: January 10, 2012 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2012 Inter-Research." @default.
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• W2110731830 title "Predicting the effects of freshwater diversions on juvenile brown shrimp growth and production: a Bayesian-based approach" @default.
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• W2110731830 cites W1965331904 @default.
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• W2110731830 cites W1981464430 @default.
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• W2110731830 cites W1988520084 @default.
• W2110731830 cites W1989097832 @default.
• W2110731830 cites W2000005974 @default.
• W2110731830 cites W2001377974 @default.
• W2110731830 cites W2001417133 @default.
• W2110731830 cites W2002626726 @default.
• W2110731830 cites W2005666854 @default.
• W2110731830 cites W2005943501 @default.
• W2110731830 cites W2008528830 @default.
• W2110731830 cites W2016315539 @default.
• W2110731830 cites W2024958388 @default.
• W2110731830 cites W2026262698 @default.
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• W2110731830 cites W2029858338 @default.
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• W2110731830 cites W2039411739 @default.
• W2110731830 cites W2045253468 @default.
• W2110731830 cites W2051407371 @default.
• W2110731830 cites W2054191648 @default.
• W2110731830 cites W2055626877 @default.
• W2110731830 cites W2072610869 @default.
• W2110731830 cites W2072901565 @default.
• W2110731830 cites W2077912242 @default.
• W2110731830 cites W2081489280 @default.
• W2110731830 cites W2087795205 @default.
• W2110731830 cites W2094417875 @default.
• W2110731830 cites W2102857733 @default.
• W2110731830 cites W2117004938 @default.
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