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The main objective of this manual is to present the basic and standard concepts of sampling methods applied to fisheries science. In order to ensure sound fisheries research, it is essential to have reliable data from landing ports, fishery stocks and research surveys. A rational management of fishing resources can then be established to ensure a sustainable exploitation rate and responsible fisheries management, providing long-term benefits for all. This document provides an introduction to sampling theory and introduces the theory of the three worlds (population, sample and sampling), as well as a short revision of probability concepts. It also provides an overview of the simple random, random stratified, cluster and two-stage sampling methods. The expressions for estimating the mean and total of the populations, their sampling distributions, the expected values, the sampling variances and their estimates are included and justified for each of the sampling designs. The document also contains a case study of biological sampling from landing ports and exercises that should be used to further understanding of the objectives of sampling and its advantages for fishery resource studies.
This was the first effort to standardize methods for inland fish sampling across North America and, as such, was a joint effort contributed to by a large group of talented and dedicated individuals, in addition to the authors and coeditors. While these sampling methods were primarily developed for North America, most could be used with little or no modification in other areas of the world. Those involved with standard sampling efforts in North America would welcome the opportunity to collaborate with scientists from other regions to develop methods to share data worldwide.
This manual contains guidance on data collection methods for developing socio-economic indicators, and it can be used to facilitate and simplify reporting under international conventions and agreements on matters relating to the sustainable fisheries development. The methodologies can be applied to fisheries at many different levels, from individual fisheries and coastal management units to a global level, and it aims to encourage consistent use of statistical methods in data collection.
Ocean harvests have plateaued worldwide and many important commercial stocks have been depleted. This has caused great concern among scientists, fishery managers, the fishing community, and the public. This book evaluates the major models used for estimating the size and structure of marine fish populations (stock assessments) and changes in populations over time. It demonstrates how problems that may occur in fisheries dataâ€"for example underreporting or changes in the likelihood that fish can be caught with a given type of gearâ€"can seriously degrade the quality of stock assessments. The volume makes recommendations for means to improve stock assessments and their use in fishery management.