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| 02852nam 2200313za 4500 |
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| 001 | 9.821677 |
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| 003 | CaOODSP |
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| 005 | 20221107143520 |
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| 007 | cr ||||||||||| |
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| 008 | 160211s2007 onc|||||o f100 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 |aFs97-4/2816E-PDF |
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| 100 | 1 |aChu, C. |
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| 245 | 10|aLife history invariants of lean and siscowet lake trout, lake whitefish, bloater, walleye and yellow perch populations in the Great Lakes |h[electronic resource] / |c[by] C. Chu and M.A. Koops. |
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| 260 | |aBurlington, ON : |bFisheries and Oceans Canada, |cc2007. |
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| 300 | |aviii, 38 p. : |bmap, tables, figs, graphs. |
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| 490 | 1 |aCanadian manuscript report of fisheries and aquatic sciences, |x1488-5387 ; |v2816 |
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| 504 | |aIncludes bibliographical references. |
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| 520 | |aLife history invariants are symmetries in the trade-offs among life history traits where achange in one trait produces a predictable change in another life history trait. The excellent fits of proposed life history invariants to interspecific data has encouraged the use of proposed invariants in fisheries management and modelling. However, the few published intraspecific comparisons have been inconsistent in their support of proposed invariants. This study estimates life history invariants for populations of five fishes within the Great Lakes and within populations through time. Our analyses included 12 lean and 6 siscowet lake trout (Salvelinus namaycush), 26 lake whitefish (Coregonus clupeaformis), 8 bloater (Coregonus hoyi), 9 walleye (Sander vitreus), and 12 yellow perch (Perca flavescens) populations. Growth, maturity and population location data were gathered for each population. These data were used to calculate eight life history parameters (k, L∞, t0, L0, α, Lα, M and tmax) and eight life history invariants (1st Beverton-Holt, 2nd Beverton-Holt, 3rd Beverton-Holt, Roff, Hoenig, Charnov-Berrigan, Jensen and Mangel). Our results indicate that for all of these species, invariant values vary both among populations and within populations through time. The 2nd and 3rd Beverton-Holt invariants appeared to vary the least of the invariants tested but our results suggest that caution should be used when applying life history invariants to modelling exercises and fisheries management. |
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| 692 | 07|2gccst|aFisheries management |
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| 692 | 07|2gccst|aFisheries |
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| 700 | 1 |aKoops, Marten A., |d1969- |
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| 710 | 1 |aCanada. |bDepartment of Fisheries and Oceans. |
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| 710 | 2 |aBayfield Institute. |
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| 710 | 2 |aGreat Lakes Laboratory for Fisheries and Aquatic Sciences. |
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| 830 | #0|aCanadian manuscript report of fisheries and aquatic sciences,|x1488-5387 ; |v2816|w(CaOODSP)9.505211 |
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| 856 | 40|qPDF|s306 KB|uhttps://publications.gc.ca/collections/collection_2016/mpo-dfo/Fs97-4-2816-eng.pdf |
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