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Quantitative data on post-harvest fish losses in Tanzania: The fisheries of Lake Victoria and Mafia Island

Quantitative data on post-harvest fish losses in Tanzania: The fisheries of Lake Victoria and Mafia Island

Ward, Ansen (1996) Quantitative data on post-harvest fish losses in Tanzania: The fisheries of Lake Victoria and Mafia Island. Technical Report. Natural Resources Institute, Chatham, UK.

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Abstract

This report presents a summary of the data generated during the development of two fish loss assessment methodologies. A formal recall questionnaire survey was designed and used to generate quantitative data. The other methodology developed was an informal one based on the tools and techniques of Participatory and Rapid Appraisal, the development of this generated qualitative as well as indicative quantitative data on fish losses. The work was done in Tanzania by the Natural Resources Institute (NRI) as part of the Overseas Development Administration's Post Harvest Fisheries Research Programme. It was done in collaboration with the Fisheries Division of Tanzania between 1992 and 1995. Most of the data presented in the report is quantitative, from recall questionnaire surveys of the fishing, processing, transport and retail sectors of the Lake Victoria fishery from 1993 to 1995 and of the Mafia Island fishery from 1994 to 1995. The data on post-harvest losses is presented according to survey site, fishing method and product type. The report also presents data on the reasons why losses are occuring.

Item Type: Monograph (Technical Report)
Uncontrolled Keywords: quantitative, postharvest, fish, loss, Tanzania, fisheries, Lake Victoria, Mafia Island
Faculty / Department / Research Group: Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Food & Markets Department
Related URLs:
Last Modified: 21 Jun 2016 08:45
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/12101

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