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Chen, Y., Jackson, D. A., & Harvey, H. H. (1992). A comparison of von Bertalanffy and polynomial functions in modelling fish growth data (Vol. 49).
Zusammenfassung: We compared the von Bertalanffy growth function (VBGF) and five polynormial functions (PF) in modelling fish growth for 16 populations comprising six species of freshwater fishes. Ranked results of the variance explained by each growth function indicated that VBGF described growth data better than three- and four-parameter polynomial functions. Log-transforming length and age greatly improved the goodness-of-fit of the three-parameter polynomial function. Statistical comparison of growth between populations or sexes was done using a general linear model for polynomial functions. The VBGF proved to be the best growth model for all 16 populations.
Schlüsselwörter: Fischerei, wachstum, methode, theorie, modell, statistik
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Talbot, A. J., & Doyle, R. W. (1992). Statistical Interrelation of Length, Growth, and Scale Circulus Spacing: Use of Ossification to Detect Nongrowing Fish (Vol. 49).
Schlüsselwörter: Fisch, wachstum, methode, statistik
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Mulligan, T. J., & Leaman, B. M. (1992). Length-at-Age Analysis: Can you Get What You See? (Vol. 49).
Schlüsselwörter: Fisch, lÄngenfrequenz, statistik, methode, wachstum
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Schnute, J. T. (1992). Statistical Analysis of Embedded Replicates in Mark-Recovery Experiments (Vol. 49).
Schlüsselwörter: Fisch, statistik, capt-recapt, methode
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Schweigert, J. F. (1991). Multivariate Description of Pacipic Herring (clupea Harengus p.) Stocks from Size and Age Information (Vol. 48).
Schlüsselwörter: Fischerei, statistik, multivariat, genetik, morphologie, methode
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France, R., Holmes, J., & Lynch, A. (1991). Use of size-frequency data to estimate the age composition of crayfish populations (Vol. 48).
Zusammenfassung: Age-classes in crayfish populations can be determined from size-frequency data provided 4 tents are adhered to only crayfish collected from areas of rock substrate are used; trapping are excluded; species do not have longevities exceeding about 4 yr; and most importantly, sample sizes are greater than about 200. Studies that have failed to follow these guidelines have met with limited success in dissecting mixed frequency distributions. Further, 3 validation procedures must be undertaken: temporal replication within molting events to measure the precision of both data collection and size-frequency analysis; corroboration with known-age crayfish from either field recaptures or laboratory molt increments; and concordance with independent analysis of the mean size at onset of sexual maturity. When these checks support the size-frequency results, population age composition and analyses of rates of growth or mortality can be considered reliable.
Schlüsselwörter: Krebs, lÄngenfrequenz, methode, statistik, population
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Schnute, J. T., & Richards, L. J. (1990). A Unified Approach to the Analysis of Fish Growth, Maturity, and Survivorship Data (Vol. 47).
Schlüsselwörter: Theorie, wachstum, Reife, methode, mathematik, statistik, fisch
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Thompson, K. R., & Page, F. H. (1989). Detecting Synchrony of Recruitment using Short, Autocorrelated Time Series (Vol. 46).
Schlüsselwörter: Fischerei, statistik, methode, zeitreihe
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Eckmann, R., Gaedke, U., & Wetzlar, H. J. (1988). Effects of Climatic and Density-Dependent Factors on Year-Class Strength of Coregonus lavaretus in Lake Constance (Vol. 45).
Zusammenfassung: The influences of density-dependent and density-independent factors on year-class strength (YCS) of Corogonus lavaretus in Lake Constance were studied by multiple linear regression analyses for the period from 1962 to 1982. Meteorological conditions that lead to early thermal stratification of the lake in April are of prime importance for YCS and account for 41% of the total YCS variance. Zooplankton concentration during spring has no significant influence on YCS. The extensive stocking program on the lake (50-200 million larvae stocked per year) significantly supports YCS, but this relationship becomes apparent only after the influence of meteorological conditions are removed from the data.
Schlüsselwörter: Fischerei, zeitreihe, modell, statistik
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Nemec, A. F. L., & Brinkhurst, R. O. (1988). Using the Bootstrap to Assess Statistical Significance in the Cluster Analysis of Species Abundance Data (Vol. 45).
Schlüsselwörter: Fischerei, statistik, cluster, methode, modell
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