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1、上海海洋大学硕士学位论文Researchonthemodeloffisherystockassessmentanditsapplicationofbig-eyetunainIndianOceanABSTRACTIn2014,GOP(GrossOceanProduct),whichhasanincreaseofnearly7.7percentoverthepreviousyear,reached￥5.9936trillionandtheGOPisaccountedfor9.4%ofGDP(GrossDomesticProduct)whichshowstheim
2、portanceofmarinefisheriesinthenationaleconomy.Tuna,asoneofChineseoffshorefisheryresources,isthemainmaterialofsashimiandcannedfoodsothattunahasahigheconomicvalue.Thetuna’sresourcehasbeeninarelativelystablestatebecauseofitsmigratoryanditsstrongabilityofreproduction.Thebig-eyetuna,asa
3、largepelagicspecies,iswidelydistributedinthetropicalandsub-tropicalwatersofthePacific,IndianandAtlantic.Anditisoneofthespecieswhichiscaughtbylong-line.Chinesefisheryworkershaveaccumulatedalotofexperienceaswellasalargenumberoffishingcatchdatainthepracticeoflong-timemarineworking,how
4、ever,duetothelackofrationalanalysisandprocessingofdata,thatleadstoalong-timesituationofblindfishing,highseacostandlowfishingefficiency,etc.inChina.Asoneoftheimportantfactorsinthedevelopmentoffisheryresources,thestocknumberoffisherywillaffectthefishingcatchdirectly.Fishingisthemainf
5、actorthatcausesthefluctuationoffisheryresources.Thecorrectestimationoffishingmortalitycanhelpthefisherymanagerstoformfisherypolicies.Butintraditionalvirtualpopulationanalysistheinitialvalueoffishingmortalityisoftenempiricallyestimated,andthenstocknumberarecalculatedwithfishingmorta
6、lityandmodel.Buttheresultsoftheassessmentareusuallygreatdifferentbecauseofthedifferentinitialvalueoffishingmortality.Atthesametime,informationabouttunabiology,suchasmigrationroute,distributiondensity,thebestmarineenvironmentandformationmechanismoffisheries,etc.isfarthanenough.Sowea
7、reunabletocorrectlyexplainalltherelationshipsbetweenthefishesandmarineenvironmentalfactorsaswellastouseaunifiedmathematicalmodelforquantitativedescriptionrangeoffisheries.Ifwecanaccuratelyknowthestocknumberofbig-eyetunainadvance,findoutascientificfishingmethodandmakesometheoretical
8、analysis,wecanprovidestron
