No description available.

Thesis (M.S.)--Texas State University-San Marcos, 2007. / Vita. Appendices: leaves 19-27. Includes bibliographical references (leaves 28-33).

Thesis (M.Sc. Biological Sciences)--University of Waikato, 2008. / Title from PDF cover (viewed March 10, 2009) Includes bibliographical references (p. 80-88)

Thesis (M.S.)--Texas State University-San Marcos, 2007. / Vita. Appendices: leaves 19-27. Includes bibliographical references (leaves 28-33).

Thesis (Ph. D.)--University of Wisconsin--Madison, 1961. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ph. D.)--University of Wisconsin--Madison, 1984. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographies.

Thesis (Ph. D., Natural Resources)--University of Idaho, June 2007. / Major professor: Edward O. Garton. Includes bibliographical references. Also available online (PDF file) by subscription or by purchasing the individual file.

M.Sc. (Zoology) / Please refer to full text to view abstract

Simple algebraic relationships and yield equations that require the minimum of data are developed so as to enable quick and reliable assessments of relative rate of harvesting tropical freshwater fish populations. The age of a fish at the inflexion point is inversely related to the growth rate (K) and directly related to the natural logarithm of the weight length exponent (b). Algebraic relationships between the exponent of anabolism (m) and the weight length exponent are developed. Equations for estimating total mortality from age and length distributions in catch samples are given. Total mortality for both continuous and discrete recruitment are considered. The probability density function and the discrete probability function for a negative exponential are given. The effect of a number of variables on trawl catches is studied and some multiple regression equations which might be used to assess the relative degree of exploitation are presented. The parameters which have been recognized as vital to yield prediction are: the growth rate (K), the weight length exponent (b), the maximum length to which a fish grows (L∞) and the natural and total mortality rates. It is shown that one can replace age with a length expression in yield models and still have reliable yield predictions. It is also shown that a model with a few very relevant parameters, has almost the same predictive power as a model requiring more parameters. / Science, Faculty of / Zoology, Department of / Graduate

No description available.