The effects of temperature, salinity and food supply on oyster production in Louisiana: Model predictions versus field data

dc.acquisition-srcDownloaded from-Aquatic Sciences and Fisheries Abstractsen_US
dc.call-noen_US
dc.contract-noen_US
dc.contributor.authorSoniat TMen_US
dc.contributor.authorPowell ENen_US
dc.contributor.otheren_US
dc.date.accessioned2010-02-15T17:14:02Z
dc.date.available2010-02-15T17:14:02Z
dc.date.issued1994 1994 Apr 24en_US
dc.degreeen_US
dc.description-en_US
dc.description-otheren_US
dc.description.abstractEnvironmental variables, seston composition and oyster population parameters were sampled from April 1992 to March 1993 at three sites in the Terrebonne Basin of Louisiana. Environmental measure included water temperature, salinity and transparency. The seston was characterized by dry weight (SDW), particulate organic matter (POM), particulate inorganic matter (PIM), and chlorophyll a concentration (CHL). Oyster population parameters were size-frequency distribution, condition index (CI), gonadal index (GI), and weighted incidence (WI) and percent infection (PI) of Perkinsus marinus. Environmental parameters and seston were measured weekly, whereas oysters were sampled monthly. Water temperature, salinity, SDW and food supply measures were input into an existing model (developed by ENP). The food measures were POM, CHL, and a value (LCP), which relates CHL to the energy content of the seston measured as the sum of the caloric content of particulate lipid, carbohydrate and protein (regression from data of TMS from Galveston Bay). Model simulations suggest that POM greatly overestimates food supply (oysters accrue biomass at unrealistic rates and grow to unobserved sizes), whereas CHL underestimates food supply (oysters do not accrue biomass fast enough nor grow to sizes observed in the field). With LCP as the food-supply input, the model closely tracked oyster production, size-frequency distribution, WI and GI. Best results were obtained using weekly food supply data as opposed to monthly meansen_US
dc.description.urihttp://gbic.tamug.edu/request.htmen_US
dc.historyen_US
dc.identifier.urihttp://hdl.handle.net/1969.3/23021
dc.latitudeen_US
dc.locationen_US
dc.longitudeen_US
dc.notes1994 Annu. Meet. of the National Shellfisheries Assoc., Charleston, SC (USA)0730-8000Abstract onlyEnglishJournal Article; Conference; SummaryMarineCS9509793en_US
dc.placeen_US
dc.publisheren_US
dc.relation.ispartofseries50553.00en_US
dc.relation.urien_US
dc.scaleen_US
dc.seriesJournal of Shellfish Research [J. SHELLFISH RES.]en_US
dc.subjectASW,USA,Louisiana,Terrebonne Basinen_US
dc.subjectbiomassen_US
dc.subjectChlorophyllen_US
dc.subjectdiseasesen_US
dc.subjectDistributionen_US
dc.subjectDOen_US
dc.subjectDry weighten_US
dc.subjectEnvironmental effectsen_US
dc.subjectfood availabilityen_US
dc.subjectGalveston Bayen_US
dc.subjectgrowthen_US
dc.subjectmodellingen_US
dc.subjectO 5060 Aquacultureen_US
dc.subjectorganic matteren_US
dc.subjectOyster cultureen_US
dc.subjectOystersen_US
dc.subjectParticulate organic matteren_US
dc.subjectPerkinsus marinusen_US
dc.subjectPredictionen_US
dc.subjectQ1 01583 Shellfish cultureen_US
dc.subjectQ3 01583 Shellfish cultureen_US
dc.subjectSalinityen_US
dc.subjectSestonen_US
dc.subjectseston compositionen_US
dc.subjectShellfishen_US
dc.subjectsimulationen_US
dc.subjectTemperatureen_US
dc.subjectUSAen_US
dc.subjectUSA,Louisianaen_US
dc.subjectwateren_US
dc.subjectwater temperatureen_US
dc.titleThe effects of temperature, salinity and food supply on oyster production in Louisiana: Model predictions versus field dataen_US
dc.typeCONFen_US
dc.universityen_US
dc.vol-issue()en_US
Files