Assessment of Disaster Impact Fisheries Sector J. Roberto Jovel, Consultant

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23Sep05RJovel3 Types of Effects Damage to assets Losses in catch or landing

23Sep05RJovel4 Types of Damage Complete or partial destruction of fishing assetsComplete or partial destruction of fishing assets –Boats –Engines (in outboard cases) –Gear and nets –Traps and cages Docking facilitiesDocking facilities Aquaculture facilities and stockAquaculture facilities and stock

23Sep05RJovel5 Types of Losses Fish landing loss while boats and gear are being replaced or repairedFish landing loss while boats and gear are being replaced or repaired Aquaculture production loss while facilities are being replaced or repairedAquaculture production loss while facilities are being replaced or repaired

23Sep05RJovel6 General Assessment Procedure Develop baseline for analysis of damage and losses on the basis of normal or pre-disaster conditions Estimate post-disaster situation in terms of damage sustained and estimated volume of fishery catch and aquaculture production Estimate expected damage and losses by comparing baseline and post-disaster situation

23Sep05RJovel7 Essential Information Requirements: Statistical Data On Assets Number and characteristics of –Boats and engines –Fishing gear –Traps and cages –Aquaculture facilities Replacement value of assets On Production Average landing per type or size of boat Average catch per type of trap and cages Average production for aquaculture facilities Prices paid to fishermen and to producers

Examples of Assessment

23Sep05RJovel9 Example# 1 Example # 1 Fishing fleet in the Andaman Sea of Thailand was completely or partially destroyed by waves of the tsunami, and the volume of fish catch dropped immediately and will remain depressed until replacement of assets is achieved Damage and losses are to be estimated

23Sep05RJovel10 Impact on the Fishing Fleet Total Damage US$ 40.0 million

23Sep05RJovel11 Loss of catch in marine fishery in 2005 (producer value) The value of annual catch per type of boat (commercial and artisan) in the Andaman Sea was estimatedThe value of annual catch per type of boat (commercial and artisan) in the Andaman Sea was estimated Down time for boats was assummed as followsDown time for boats was assummed as follows –Commercial, 4 months –Artisan, 2.5 months Total loss in catch for the year was estimated as 3,728 million Baht or its equivalent of US$ 93.2 millionTotal loss in catch for the year was estimated as 3,728 million Baht or its equivalent of US$ 93.2 million It is equivalent to less than 4% of the total country GDP for the entire sectorIt is equivalent to less than 4% of the total country GDP for the entire sector

23Sep05RJovel12 Losses in Fishery Catch Commercial Vessels Artisan Vessels Total Vessels Number of boats out of commission 1,2002,600 Time required for their replacement of repair, months Average monthly value of catch per boat, US$ 16,2502,333 Loss in catch, million US$

23Sep05RJovel13 Summary of Damage and Losses Million US$ Damage 40.0 Losses 93.2 Total 133.2

23Sep05RJovel14 Example # 2 The value of losses in fishery landings is to be estimated for the Maldive Islands after the tsunami Actual monthly data of fish landings is available for period January to June 2005

23Sep05RJovel15 Pre- and Post-Tsunami Fish Landings Loss

23Sep05RJovel16 Estimation of Landing Losses Value of loss 80 million Rf or US$ 6.3 million

Application to Kenya drought 1. Obtain monthly fishery catch and unit prices paid to fishermen for all affected Provinces and Districts for years 2007, 2008, 2009, 2010 and 2011, broken down by -Maritime fishing -In-land fishing -Aquaculture 2. Determine trends of each of the above to ascertain whether there has been any negative or positive effects caused by drought in in-land fishery and aquaculture (due to water quality changes or as coping mechanism after crop failures) 23Sep05RJovel17

Fishery sector production in Kenya 23Sep05RJovel18

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