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Wüstemann, O., & Kammerad, B. (1995). Der Hasel (0thVol. 614). Die Neue Brehm-Bücherei. Heidelberg: Spektrum Akademischer Verlag.
Schlüsselwörter: Leuciscus, Fisch, Gesamtwerk, Wachstum, Ontogenese
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Wünstel, A. (1995). Ein männliches Bachneunauge Lampetra planeri (Bloch), in einer Laichgrube des Flußneunauges, Lampetra fluviatilis (L.) (Vol. 7).
Schlüsselwörter: Neunauge, Lampetra planeri, Lampetra fluviatilis, Bachneunauge, Flussneunauge
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Winkler, C. (1995). Untersuchungen zur Biologie und Ökologie des Strömers (Leuciscus souffia agassizi Val.) in nördlichen Bodenseezuflüssen. Ulm: Universität Ulm.
Schlüsselwörter: Fisch, Leuciscus souffia agassizi, Nahrung, Wachstum, Alter
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Will, A. (1995). Einblick – 3D-Grafik mit OpenGL für Windows 95 und NT.
Schlüsselwörter: 3-d, OpenGl, Grundlage, theorie, listing
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Wichowski, F. J., Kästle, A., & Stelzer, M. (1995). Über den Einfluß von Renaturierungsmaßnahmen auf das Makrozoobenthon und die Ichthyofauna eines Mittelgebirgsbaches (Vol. 24).
Schlüsselwörter: Renaturierung, Fisch
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Wang, Y., Mervyn, R. T., & Somers, I. F. (1995). A maximum likelihood approach for estimating growth from tag-recapture data (Vol. 52).
Zusammenfassung: The Fabens method is commonly used to estimate growth parameters k and l in the von Bertalanffy model from tag-recapture data. However, the Fabens method of estimation has an inherent bias when individual growht is variable. This paper present an asymptotocally unbiasses method using the maximum-likelihood approach that takes account of individual varibility in both maimum lenth and age-at-tagging. ...
Schlüsselwörter: maximum-likeli, modell, capt-recapt, wachstum
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Wang, Y. G., & Thomas, M. R. (1995). Accounting for individual variability in the von Bertalanffy growth model (Vol. 52).
Zusammenfassung: Estimation of von Bertalanffy growth parameters has received considerable attention in fisheries research. Since Sainsbury much of this research effort has centered on accounting for individual variability in the growth parameters. In this paper we demonstrate that, in analysis of tagging data, Sainsbury's method and its derivatives do not, in general, satisfactorily account for individual variability in growth, leading to inconsistent parameter estimates (the bias does not tend to zero as sample size increases to infinity). The bias arises because these methods do not use appropriate conditional expectations as a basis for estimation.
Schlüsselwörter: Fisch, Statistik, Methode, Vergleich, Wachstum, Bertalanffy, Faben
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Walters, C. (1995). Estimation of historical stock sizes and recruitment anomalies from relative abundance time series (Vol. 52).
Zusammenfassung: Often only simple relative abundance time series and basic growth and (or) survival estimates are available for assessing impacts of fishing and environmental factors. Assessment then involves fitting production models to the series, while forcing the model with observed catch or effort series. A key uncertainty in this approach is how to deal with recruitment variations due to factors other than stock size. A dynamic programming algorithm can be used to compute maximum likelihood estimates of the recruitment anomaly sequence, given prior knowledge of growth parameters, the natural survival rate, and proportion of the variation in the relative abundance index that is due to abundance measurement errors.
Schlüsselwörter: stock-assessment; approximation-; anomalies-; recruitment-; abundance-; growth-; survival-; algorithms-; fishery-management; marine-fisheries
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Trauter, J. (1995). Genetische Variabilität innerhalb der Familie Coregonidae (Pisces). Hamburg: Universität.
Schlüsselwörter: Fisch, Genetik, Coregonus
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Strohmeier, P. (1995). Ökologisch-faunistische Untersuchungen an oberfränkischen Bachneunaugen-Populationen. Bayreuth: Universität Bayreuth.
Schlüsselwörter: Neunauge, Population
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