Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/40802
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dc.contributor.authorMEMON, Khadim H.-
dc.contributor.authorLIU, Qun-
dc.contributor.authorSHAIKH, Qurat-ul-ain-
dc.contributor.authorKALHORO, Muhsan A.-
dc.contributor.authorCHANG, Mohammad S.-
dc.contributor.authorMEMON, Aamir M.-
dc.contributor.authorRUK, Majeeda-
dc.contributor.authorUJJAN, Safdar Ali-
dc.date.accessioned2017-03-17T06:01:16Z-
dc.date.available2017-03-17T06:01:16Z-
dc.date.issued2017-03-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/40802-
dc.description576-581en_US
dc.description.abstractThe surplus production models of Fox, Schaefer and Pell-Tomlinson with three error assumptions of normal, log-normal and gamma were used to analyze the catch and effort data of Black PomfretParastromateus niger fishery from Pakistani waters using the computer software package CEDA (catch effort data analysis).When using initial proportion of 0.4 (because the initial catch was roughly 40% of the maximum catch) the estimated maximum sustainable yield (MSY) were about 2000-2300t, the coefficient determinationR2 were about 0.20-0.31. Gamma error assumption often showed minimization failure. The estimated MSY from CEDA is smaller than most recent catch of the fishery which indicates that the fishery of P.niger in Pakistani waters may not be in a sustainable condition.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.46(03) [March 2017]en_US
dc.subjectMaximum sustainable yielden_US
dc.subjectSurplus production modelen_US
dc.subjectParastromateus nigeren_US
dc.subjectCatch-effort data analysis (CEDA)en_US
dc.titleApplications of CEDA (catch effort data analysis) computer software in estimation of Maximum Sustainable Yieldof the Black Pomfret Parastromateus nigerFishery from Pakistani Watersen_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.46(03) [March 2017]

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