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Sampling methods applied to fisheries science: a manual.











Cadima, E.L.; Caramelo, A.M.; Afonso-Dias, M.; Conte de Barros, P.; Tandstad, M.O.; de Leiva-Moreno, J.I. Sampling methods applied to fisheries science: a manual. FAO Fisheries Technical Paper. No. 434. Rome, FAO. 2005. 88p.


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    Manual of Fisheries Science Part 2 - Methods of Resource Investigation and their Application 1974
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    This document was produced in a provisional version solely for use as background documentation at the FAO/DANIDA Training Centre in the Methodology of Fisheries Science held in Frederikshavn, Denmark from 28 August to 22 September 1972. On the basis of the experience gained in using it as training material it has been revised and edited with a view to circulating it for comment by international workers in this field. This revised version will be used at the second FAO/ DANIDA Training Centre in the Methodology of Fisheries Science (Biology) to be held in Kelibia, Tunisia, from 29 July to 23 August 1974. Comments and criticisms are welcomed and should be addressed to the Aquatic Resources Survey and Evaluation Service, Fishery Resources and Environment Division, FAO, Rome. Hyperlinks to non-FAO Internet sites do not imply any official endorsement of or responsibility for the opinions, ideas, data or products presented at these locati ons, or guarantee the validity of the information provided. The sole purpose of links to non-FAO sites is to indicate further information available on related topics.
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    Sampled-based fishery surveys. A technical handbook 2002
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    The purpose of this handbook is to summarize experience gained over recent years in fishery statistical development by the Fishery Information, Data and Statistics Unit (FIDI) of FAO, and provide planners and users of fishery surveys with simple and step-by-step guidance for developing and implementing cost-effective and sustainable fishery surveys. The methodological and operational concepts discussed here apply equally to both marine and inland capture fisheries and are presented in a manner t hat is generic enough to make them adaptable to most commonly used data collection systems. Statistical aspects are presented in a descriptive rather than theoretical manner. Emphasis is placed on the understanding and interpretation of the statistics and related indicators collected, rather than on the computations producing them. Readers interested in a more in-depth discussion on statistical and computing approaches may make use of the list of references that is given at the end of the handbo ok.

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