Sampling methods applied to fisheries science: a manual

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.

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Bibliographic Details
Main Authors: Cadima, E.L. 1423211771421, FAO, Rome (Italy). Fisheries Dept. eng 184263, Caramelo, A.M. 1423211771422, Afonso-Dias, M. 1423211771423, Conte de Barros, P. 1423211771424, Tandstad, M.O. 1423211771425, De Leiva-Moreno, J.I. 1423211771426
Format: Texto biblioteca
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Published: Rome (Italy) FAO 2005
Subjects:Fishery management, Sampling, Methods, Statistical methods, Animal population, Fishery resources, Population animale, Ressource halieutique, Gestion des pêches, Échantillonnage, Méthode, Méthode statistique, Población animal, Recursos pesqueros, Administración pesquera, Muestra, Métodos, Métodos estadísticos,
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Summary: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.