Post-harvest fish loss assessment in small-scale fisheries: A guide for the extension officer

FAO Fisheries and Aquaculture Technical Paper No. 559

Post-harvest fish loss assessment in small-scale fisheries
A guide for the extension officer

by
Yvette Diei-Ouadi
Fishery Industry Officer
Products, Trade and Marketing Service
Fisheries and Aquaculture Policy and Economics Division
FAO Fisheries and Aquaculture Department
Rome, Italy

and

Yahya I. Mgawe
Head of Fisheries Research and Training section
Ministry of Livestock and Fisheries Development
Dar es Salaam, United Republic of Tanzania


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Food and Agriculture Organization of the United Nations
Rome 2011


ABSTRACT

Diei-Ouadi, Y.; Mgawe, Y. I.
Post-harvest fish loss assessment in small-scale fisheries: A guide for the extension officer.
FAO Fisheries and Aquaculture Technical Paper. No. 559. Rome, FAO. 2011. 93p.


The field activities within the regional post-harvest loss assessment programme in small-scale fisheries in Africa (an FAO regular programme conducted from 2006 to 2008) tested and validated three key fish loss assessment methodologies that have been developed over the past two decades: the Informal Fish Loss Assessment Method (IFLAM), Load Tracking (LT) and the Questionnaire Loss Assessment Method (QLAM).

This manual describes these three methods in detail and provides practical guidelines on when they can be used and on how to use them to collect reliable data, be it for planning for an intervention to reduce losses in a particular area or at the country level or monitoring and assessing the effectiveness of a loss reduction intervention. While the IFLAM is used to generate qualitative and indicative quantitative post-harvest fish loss data that can be used to inform decision-making or to plan the use of LT and the QLAM, the latter are quantitative assessment methods. Load Tracking is used to quantify losses at stages along the distribution chain or losses related to specific activities, such as fishing, transport, processing and marketing. Key data related to the cause and effects of losses from an IFLAM study are validated using the QLAM before any suitable intervention is introduced. A combination of the IFLAM, LT and QLAM could then be used to monitor and evaluate the effects of an intervention. Illustrative examples and case studies are presented to facilitate the uptake and use of the methods in systematic fish loss assessment.

This fieldwork tool also enlightens the extension officer on how to communicate the data from the assessments and the design of loss reduction interventions to help policy-planners and decision-makers understand important issues facing fishing communities.

It is hoped that this manual will be of interest to all those involved in fisheries technology and development, field research, data analysis and reporting as well as participatory approaches to development.



CONTENTS

Preparation of this document
Abstract
Acronyms and abbreviations


1. Introduction


2. What are post-harvest fish losses?

 

What does "post-harvest fish loss" mean?

 

Main types of losses covered in this manual

 

Summary of causes of different PHFLs


3. Planning for the process of PHFLA

 

Which loss assessment methods to use?

 

Planning for PHFLA


4. PHFLA using the IFLAM

 

Introduction

 

Suggested IFLAM schedule

 

Practical process of the IFLAM


5. PHFLA using load tracking

 

Objective for load tracking

 

Unit of measurement or experimental unit

 

Sampling

 

Replication

 

Response

 

Load tracking data analysis

 

Case studies

 

Reporting


6. PHFLA and validation using the QLAM

 

Objectives

 

Locations for using the QLAM

 

Respondents

 

Enumarators

 

Questionnaires

 

Pilot testing

 

Data analysis and reporting


7. Report writing and communication


8. Planning implementation and monitoring of loss-reduction interventions


Sources of further information


Annexes

  1–

PHFLA Working Group members

  2–

Fish loss assessment report: structure and content

  3–

Load Tracking (LT) and Questionnaire Loss Assessment Method (QLAM) report: structure




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