Dynamics of Pink Shrimp (Farfantepenaeus duorarum) Recruitment Potential in Relation to Salinity and Temperature in Florida Bay

Progress is reported in relating upstream water management and freshwater flow to Florida Bay to a valuable commercial fishery for pink shrimp (Farfantepenaeus duorarum), which has major nursery grounds in Florida Bay. Changes in freshwater inflow are expected to affect salinity patterns in the bay,...

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Veröffentlicht in:Estuaries 2002-12, Vol.25 (6), p.1355-1371
Hauptverfasser: Browder, Joan A., Zein-Eldin, Zoula, Criales, Maria M., Robblee, Michael B., Wong, Steven, Jackson, Thomas L., Johnson, Darlene
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container_issue 6
container_start_page 1355
container_title Estuaries
container_volume 25
creator Browder, Joan A.
Zein-Eldin, Zoula
Criales, Maria M.
Robblee, Michael B.
Wong, Steven
Jackson, Thomas L.
Johnson, Darlene
description Progress is reported in relating upstream water management and freshwater flow to Florida Bay to a valuable commercial fishery for pink shrimp (Farfantepenaeus duorarum), which has major nursery grounds in Florida Bay. Changes in freshwater inflow are expected to affect salinity patterns in the bay, so the effect of salinity and temperature on the growth, survival, and subsequent recruitment and harvest of this ecologically and economically important species was examined with laboratory experiments and a simulation model. Experiments were conducted to determine the response of juvenile growth and survival to temperature (15°C to 33°C) and salinity (2‰ to 55‰), and results were used to refine an existing model. Results of these experiments indicated that juvenile pink shrimp have a broad salinity tolerance range at their optimal temperature, but the salinity tolerance range narrows with distance from the optimal temperature range, 20-30°C. Acclimation improved survival at extreme high salinity (55‰), but not at extremely low salinity (i. e., 5‰, 10‰). Growth rate increases with temperature until tolerance is exceeded beyond about 35°C. Growth is optimal in the mid-range of salinity (30‰) and decreases as salinity increases or decreases. Potential recruitment and harvests from regions of Florida Bay were simulated based on local observed daily temperature and salinity. The simulations predict that potential harvests might differ among years, seasons, and regions of the bay solely on the basis of observed temperature and salinity. Regional differences in other characteristics, such as seagrass cover and tidal transport, may magnify regional differences in potential harvests. The model predicts higher catch rates in the September-December fishery, originating from the April and July settlement cohorts, than in the January-June fishery, originating from the October and January settlement cohorts. The observed density of juveniles in western Florida Bay during the same years simulated by the model was greater in the fall than the spring, supporting modeling results. The observed catch rate in the fishery, a rough index of abundance, was higher in the January-June fishery than the July-December fishery in most of the biological years from 1989-1990 through 1997-1998, contrary to modeling results and observed juvenile density in western Florida Bay.
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Changes in freshwater inflow are expected to affect salinity patterns in the bay, so the effect of salinity and temperature on the growth, survival, and subsequent recruitment and harvest of this ecologically and economically important species was examined with laboratory experiments and a simulation model. Experiments were conducted to determine the response of juvenile growth and survival to temperature (15°C to 33°C) and salinity (2‰ to 55‰), and results were used to refine an existing model. Results of these experiments indicated that juvenile pink shrimp have a broad salinity tolerance range at their optimal temperature, but the salinity tolerance range narrows with distance from the optimal temperature range, 20-30°C. Acclimation improved survival at extreme high salinity (55‰), but not at extremely low salinity (i. e., 5‰, 10‰). Growth rate increases with temperature until tolerance is exceeded beyond about 35°C. Growth is optimal in the mid-range of salinity (30‰) and decreases as salinity increases or decreases. Potential recruitment and harvests from regions of Florida Bay were simulated based on local observed daily temperature and salinity. The simulations predict that potential harvests might differ among years, seasons, and regions of the bay solely on the basis of observed temperature and salinity. Regional differences in other characteristics, such as seagrass cover and tidal transport, may magnify regional differences in potential harvests. The model predicts higher catch rates in the September-December fishery, originating from the April and July settlement cohorts, than in the January-June fishery, originating from the October and January settlement cohorts. The observed density of juveniles in western Florida Bay during the same years simulated by the model was greater in the fall than the spring, supporting modeling results. 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Changes in freshwater inflow are expected to affect salinity patterns in the bay, so the effect of salinity and temperature on the growth, survival, and subsequent recruitment and harvest of this ecologically and economically important species was examined with laboratory experiments and a simulation model. Experiments were conducted to determine the response of juvenile growth and survival to temperature (15°C to 33°C) and salinity (2‰ to 55‰), and results were used to refine an existing model. Results of these experiments indicated that juvenile pink shrimp have a broad salinity tolerance range at their optimal temperature, but the salinity tolerance range narrows with distance from the optimal temperature range, 20-30°C. Acclimation improved survival at extreme high salinity (55‰), but not at extremely low salinity (i. e., 5‰, 10‰). Growth rate increases with temperature until tolerance is exceeded beyond about 35°C. Growth is optimal in the mid-range of salinity (30‰) and decreases as salinity increases or decreases. Potential recruitment and harvests from regions of Florida Bay were simulated based on local observed daily temperature and salinity. The simulations predict that potential harvests might differ among years, seasons, and regions of the bay solely on the basis of observed temperature and salinity. Regional differences in other characteristics, such as seagrass cover and tidal transport, may magnify regional differences in potential harvests. The model predicts higher catch rates in the September-December fishery, originating from the April and July settlement cohorts, than in the January-June fishery, originating from the October and January settlement cohorts. The observed density of juveniles in western Florida Bay during the same years simulated by the model was greater in the fall than the spring, supporting modeling results. 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Psychology</topic><topic>Marine</topic><topic>Modeling</topic><topic>National parks</topic><topic>Nursery grounds</topic><topic>Ocean fisheries</topic><topic>Protozoa. Invertebrata</topic><topic>Salinity</topic><topic>Salinity tolerance</topic><topic>Shrimp</topic><topic>Simulations</topic><topic>USA, Florida, Florida Bay</topic><topic>Water inflow</topic><topic>Water management</topic><topic>Water temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Browder, Joan A.</creatorcontrib><creatorcontrib>Zein-Eldin, Zoula</creatorcontrib><creatorcontrib>Criales, Maria M.</creatorcontrib><creatorcontrib>Robblee, Michael B.</creatorcontrib><creatorcontrib>Wong, Steven</creatorcontrib><creatorcontrib>Jackson, Thomas L.</creatorcontrib><creatorcontrib>Johnson, Darlene</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Aqualine</collection><jtitle>Estuaries</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Browder, Joan A.</au><au>Zein-Eldin, Zoula</au><au>Criales, Maria M.</au><au>Robblee, Michael B.</au><au>Wong, Steven</au><au>Jackson, Thomas L.</au><au>Johnson, Darlene</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamics of Pink Shrimp (Farfantepenaeus duorarum) Recruitment Potential in Relation to Salinity and Temperature in Florida Bay</atitle><jtitle>Estuaries</jtitle><date>2002-12-01</date><risdate>2002</risdate><volume>25</volume><issue>6</issue><spage>1355</spage><epage>1371</epage><pages>1355-1371</pages><issn>0160-8347</issn><issn>1559-2723</issn><eissn>1559-2731</eissn><coden>ESTUDO</coden><abstract>Progress is reported in relating upstream water management and freshwater flow to Florida Bay to a valuable commercial fishery for pink shrimp (Farfantepenaeus duorarum), which has major nursery grounds in Florida Bay. Changes in freshwater inflow are expected to affect salinity patterns in the bay, so the effect of salinity and temperature on the growth, survival, and subsequent recruitment and harvest of this ecologically and economically important species was examined with laboratory experiments and a simulation model. Experiments were conducted to determine the response of juvenile growth and survival to temperature (15°C to 33°C) and salinity (2‰ to 55‰), and results were used to refine an existing model. Results of these experiments indicated that juvenile pink shrimp have a broad salinity tolerance range at their optimal temperature, but the salinity tolerance range narrows with distance from the optimal temperature range, 20-30°C. Acclimation improved survival at extreme high salinity (55‰), but not at extremely low salinity (i. e., 5‰, 10‰). Growth rate increases with temperature until tolerance is exceeded beyond about 35°C. Growth is optimal in the mid-range of salinity (30‰) and decreases as salinity increases or decreases. Potential recruitment and harvests from regions of Florida Bay were simulated based on local observed daily temperature and salinity. The simulations predict that potential harvests might differ among years, seasons, and regions of the bay solely on the basis of observed temperature and salinity. Regional differences in other characteristics, such as seagrass cover and tidal transport, may magnify regional differences in potential harvests. The model predicts higher catch rates in the September-December fishery, originating from the April and July settlement cohorts, than in the January-June fishery, originating from the October and January settlement cohorts. The observed density of juveniles in western Florida Bay during the same years simulated by the model was greater in the fall than the spring, supporting modeling results. The observed catch rate in the fishery, a rough index of abundance, was higher in the January-June fishery than the July-December fishery in most of the biological years from 1989-1990 through 1997-1998, contrary to modeling results and observed juvenile density in western Florida Bay.</abstract><cop>Lawrence, KS</cop><pub>Estuarine Research Federation</pub><doi>10.1007/BF02692230</doi><tpages>17</tpages></addata></record>
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subjects Acclimatization
Animal and plant ecology
Animal reproduction
Animal, plant and microbial ecology
Animals
Applied ecology
Biogeochemistry
Biological and medical sciences
Brackish
Crustaceans
Demecology
Economic importance
Estuaries
Everglades
Exploitation and management of natural biological resources (hunting, fishing and exploited populations survey, etc.)
Farfantepenaeus duorarum
Fisheries
Fisheries science
Fresh water
Fundamental and applied biological sciences. Psychology
Marine
Modeling
National parks
Nursery grounds
Ocean fisheries
Protozoa. Invertebrata
Salinity
Salinity tolerance
Shrimp
Simulations
USA, Florida, Florida Bay
Water inflow
Water management
Water temperature
title Dynamics of Pink Shrimp (Farfantepenaeus duorarum) Recruitment Potential in Relation to Salinity and Temperature in Florida Bay
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