No description available.

Thesis (Ph. D.)--College of William and Mary. / Vita. Includes bibliographical references.

Thesis (M.S.)--Tennessee Technological University, 2009. / Title from title page screen (viewed on Jan. 22, 2010). Includes bibliographical references.

No description available.

No description available.

Thesis (Ph.D.) - James Cook University, 2007. / Typescript (photocopy) Bibliography: leaves 154-165.

Thesis (Ph.D.)--University of Washington, 1995. / Vita. Includes bibliographical references (leaves 100-111).

Thesis (M.S.)--University of Wisconsin--Stevens Point, 2002. / Includes bibliographical references (leaves 41-52).

Length-based stock assessment models estimating mortality rates are attractive choices for assessing fisheries with data deficiencies. The U.S. Caribbean is exploring using these models and trying to optimize their commercial sampling program for such a model. A simulation model was constructed to compare two length-based mortality estimators, the Beverton-Holt and Gedamke-Hoenig models. The simulations also tested aspects of the Gedamke-Hoenig model previously not thoroughly addressed, such as the effects of varied life history parameters, violating the assumptions of constant growth and recruitment, sample sizes (n), and sampling program length (Ys) on total mortality rate estimates (Z). Given the scenarios investigated, the Beverton-Holt model produced consistently biased, but more stable results when n was low, variation was high for both growth and recruitment, and sampling began after the change in Z took place. The Gedamke-Hoenig model was generally less biased and detected changes in Z, but produced variable results of the current Z, especially with low sample sizes and high variability. In those situations, both models can be carefully interpreted together for management advice. In the Gedamke-Hoenig model results, a clear pattern emerged in the mean accuracy and precision of the model where after an asymptote was reached, increasing n did not improve the means. The variance of the model improved with both increasing n and increasing Ys. Outliers were predictable and could be accounted for on a case-by-case basis. The model developed here can be a tool for guiding future stock assessment model choice and sample design in the U.S. Caribbean and other regions. / Master of Science

Tam, Man Cheong. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (leaves 254-262). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgements --- p.x / Table of Contents --- p.xii / List of Tables --- p.xvii / List of Figures --- p.xviii / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Coral reef fishes and their interactions with coral reef ecosystem --- p.1 / Chapter 1.2 --- Diversity and world distribution of coral reef fishes --- p.4 / Chapter 1.3 --- Fishery exploitation on reef fish communities --- p.5 / Chapter 1.4 --- Marine reserves and their effects on reef fish assemblages --- p.8 / Chapter 1.5 --- The Marine environment of Hong Kong --- p.19 / Chapter 1.6 --- Reef fishes and inshore fishery in Hong Kong --- p.20 / Chapter 1.7 --- Marine parks and marine reserves in Hong Kong --- p.23 / Chapter 1.8 --- Objectives --- p.25 / Chapter 1.9 --- Nature and structure of this thesis --- p.26 / Chapter Chapter 2 --- Spatial comparison of reef fish assemblages between fished and protected areas of Hong Kong --- p.29 / Chapter 2.1 --- Introduction --- p.29 / Chapter 2.2 --- Study Areas --- p.31 / Chapter 2.2.1 --- Tung Ping Chau Marine Park --- p.32 / Chapter 2.2.2 --- Hoi Ha Wan Marine Park --- p.33 / Chapter 2.2.3 --- Kat O Chau and Ngo Mei Chau --- p.34 / Chapter 2.3 --- Methodology --- p.34 / Chapter 2.3.1 --- Sampling of reef fish assemblages --- p.34 / Chapter 2.3.2 --- Sampling of habitat complexity --- p.36 / Chapter 2.4 --- Data Analysis --- p.37 / Chapter 2.5 --- Results --- p.41 / Chapter 2.5.1 --- "Seasonal trend in mean density, mean biomass and mean species richness" --- p.41 / Chapter 2.5.1.1 --- Seasonal trend in mean density --- p.41 / Chapter 2.5.1.2 --- Seasonal trend in mean biomass --- p.42 / Chapter 2.5.1.3 --- Seasonal trend in mean species richness --- p.42 / Chapter 2.5.2 --- Seasonal trend in fish assemblage structures --- p.43 / Chapter 2.5.2.1 --- A Ye Wan --- p.43 / Chapter 2.5.2.2 --- A Ma Wan --- p.44 / Chapter 2.5.2.3 --- Chau Mei --- p.46 / Chapter 2.5.2.4 --- Chau Tau --- p.47 / Chapter 2.5.2.5 --- Wu Pai --- p.48 / Chapter 2.5.2.6 --- Cheung Shek Tsui --- p.50 / Chapter 2.5.2.7 --- Coral Beach --- p.51 / Chapter 2.5.2.8 --- Moon Island --- p.52 / Chapter 2.5.3 --- Spatial comparison between protected and fished areas in each sampling season --- p.53 / Chapter 2.5.3.1 --- Comparison of mean fish density --- p.54 / Chapter 2.5.3.2 --- Comparison of mean fish species richness --- p.55 / Chapter 2.5.3.3 --- Comparison of mean fish biomass --- p.55 / Chapter 2.5.4 --- "Relationship of mean density, mean species richness and mean biomass with habitat complexity" --- p.55 / Chapter 2.5.4.1 --- Mean fish density versus habitat complexity --- p.56 / Chapter 2.5.4.2 --- Mean species richness of fish versus habitat complexity --- p.56 / Chapter 2.5.4.3 --- Mean fish biomass versus habitat complexity --- p.57 / Chapter 2.5.5 --- Spatial comparison of reef fish assemblage structures --- p.57 / Chapter 2.5.5.1 --- Summer 2002 --- p.57 / Chapter 2.5.5.2 --- Fall 2002 --- p.58 / Chapter 2.5.5.3 --- Winter 2003 --- p.59 / Chapter 2.5.5.4 --- Spring 2003 --- p.61 / Chapter 2.5.5.5 --- Summer 2003 --- p.62 / Chapter 2.5.5.6 --- Fall 2003 --- p.63 / Chapter 2.5.5.7 --- Winter 2004 --- p.65 / Chapter 2.5.5.8 --- Spring 2004 --- p.66 / Chapter 2.6 --- Discussion --- p.67 / Chapter 2.6.1 --- Seasonal changes in reef fish assemblages --- p.67 / Chapter 2.6.2. --- "Effects of protection and habitat complexity on density, biomass and species richness of fish assemblages" --- p.74 / Chapter 2.6.3 --- Effects of protection on fish assemblage structures --- p.78 / Chapter 2.6.4 --- Determination of best sampling seasons for monitoring of protection effects in protected areas --- p.83 / Chapter 2.7 --- Conclusion --- p.85 / Chapter Chapter 3 --- Temporal comparison of1 reef fish assemblages before and after protection in Tung Ping Chau Marine Park --- p.191 / Chapter 3.1 --- Introduction --- p.191 / Chapter 3.2 --- Study areas --- p.192 / Chapter 3.3 --- Methodology --- p.192 / Chapter 3.4 --- Data analysis --- p.193 / Chapter 3.5 --- Results --- p.195 / Chapter 3.5.1 --- Temporal comparison of mean density and species richness among years --- p.195 / Chapter 3.5.1.1 --- Temporal comparison of mean density among years --- p.195 / Chapter 3.5.1.2 --- Temporal comparison of mean species richness among years --- p.197 / Chapter 3.5.2 --- Temporal comparison of fish assemblages structures among years in A Ye Wan --- p.198 / Chapter 3.5.2.1 --- Summer --- p.198 / Chapter 3.5.2.2 --- Fall --- p.199 / Chapter 3.5.2.3 --- Winter --- p.200 / Chapter 3.5.2.4 --- Spring --- p.201 / Chapter 3.5.3 --- Temporal comparison of fish assemblages structures among years in A Ma Wan --- p.202 / Chapter 3.5.3.1 --- Summer --- p.202 / Chapter 3.5.3.2 --- Fall --- p.203 / Chapter 3.5.3.3 --- Winter --- p.204 / Chapter 3.5.3.4 --- Spring --- p.205 / Chapter 3.6 --- Discussion --- p.206 / Chapter 3.6.1 --- Effects of protection on mean density and species richness of fish assemblages --- p.206 / Chapter 3.6.2 --- Effects of protection on fish assemblage structures --- p.208 / Chapter 3.7 --- Conclusion --- p.210 / Chapter Chapter 4 --- Summary and Perspectives --- p.247 / Chapter 4.1. --- Major findings of the present study --- p.247 / Chapter 4.2. --- Significance and implications of the present study --- p.249 / Chapter 4.3 --- Perspectives for further study --- p.252 / References --- p.254 / Appendix --- p.263 / Appendix 1 --- p.263