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001 | 9.829192 |
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003 | CaOODSP |
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005 | 20221107145228 |
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007 | cr ||||||||||| |
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008 | 161215s2016 oncd o f000 0 eng d |
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040 | |aCaOODSP|beng |
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041 | |aeng|bfre |
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043 | |an-cn--- |
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086 | 1 |aFs70-5/2016-095E-PDF |
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245 | 00|aFitting a statistical catch at length model (NFT-SCALE) to Unit 1 + 2 redfish (Sebastes mentella and Sebastes fasciatus) |h[electronic resource] / |cDaniel E. Duplisea ... [et al.]. |
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246 | 1 |iTitle at head of French abstract: |aAjustement d’un modèle statistique des captures à la longueur (NFT-SCALE) pour les sébastes (Sebastes mentella et Sebastes fasciatus) des unités 1 et 2 |
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260 | |aOttawa : |bFisheries and Oceans Canada, Canadian Science Advisory Secretariat, |c2016. |
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300 | |av, 32 p. : |bgraphs |
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490 | 1 |aCanadian Science Advisory Secretariat research document, |x1919-5044 ; |v2016/095, Québec Region |
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500 | |aCover title. |
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500 | |a“December 2016.” |
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504 | |aIncludes bibliographical references (p. 5). |
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520 | |a"A statistical catch at length model (NFT-SCALE) was applied separately to the two species of redfish in the Units 1 and 2 stock area. The SCALE approach is considered advantageous over a previously applied production modelling approach in that it incorporates composition data from both surveys and the commercial fishery and as such it has an ability to show relative strength of specific cohorts both and pre-recruit and adult sizes but it remains to be seen if this approach can be usefully applied to Units 1 and 2 redfish."--Abstract, p. iii. |
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546 | |aIncludes abstract in French. |
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692 | 07|2gccst|aFish |
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692 | 07|2gccst|aFisheries management |
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700 | 1 |aDuplisea, Daniel E., |d1968- |
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710 | 1 |aCanada. |bDepartment of Fisheries and Oceans. |
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710 | 1 |aCanada. |bEcosystems and Oceans Science. |
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710 | 2 |aCanadian Science Advisory Secretariat. |
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830 | #0|aResearch document (Canadian Science Advisory Secretariat)|x1919-5044 ; |v2016/095, Québec Region.|w(CaOODSP)9.507396 |
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856 | 40|qPDF|s2.58 MB|uhttps://publications.gc.ca/collections/collection_2016/mpo-dfo/Fs70-5-2016-095-eng.pdf |
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