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Research Detail

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Md. Atiqul Islam Mondal
Institute of Marine Sciences and Fisheries, University of Chittagong, Chittagong-4331, Bangladesh

M.A. Kader
Institute of Marine Sciences and Fisheries, University of Chittagong, Chittagong-4331, Bangladesh

Md. Rashed-Un-Nabi
Institute of Marine Sciences and Fisheries, University of Chittagong, Chittagong-4331, Bangladesh

Abdullah Al Mamun Siddiqui
Institute of Marine Sciences and Fisheries, University of Chittagong, Chittagong-4331, Bangladesh

Md Masum Billah
Institute of Marine Sciences and Fisheries, University of Chittagong, Chittagong-4331, Bangladesh

Abdulla-Al-Asif
Department of Aquaculture, Faculty of Fisheries, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh

The present investigation was conducted from May to December 2005 at Kumira, the representative area of Chittagong coast for bio-socioeconomic analysis of ESBN fishery. In catch composition of Kumira, it was observed that finfish occupied 77.03 %, shrimp 19.82 % and crab 3.15 % and the average catch per boat per day were found 16.6 kg in Kumira. The highest total catch per boat per day (50 kg) was found in October at Kumira. The lowest catch was found (2 kg) in August at Kumira. The average total catch per landing center per month was found 14805 kg at Kumira. The average catch per fishermen per day was found 3.39 kg at Kumira and the average cost per boat per month was about 7,813 Tk in the study area. Average sale per month was found over 18,713 Tk in Kumira. During the month July and August most of the fishermen were engaged in Hilsa fishing with the Hilsa gill net resulting the total catch was with ESBN lowest in those months.

 

  Bio-economic; ESBN fishery; Coastal area; Chittagong; Bangladesh
  ESBN fishing village Kumira
  00-01-2005
  00-12-2005
  Socio-economic and Policy
  Fish

1. To evaluate the catch composition of ESBN fishery;

2. To observe monthly fluctuation of fishes and

3. To suggest some proper management practices of ESBN fishery resources.

Study area and periods- The study was conducted in an ESBN fishing village Kumira; coordinates 22°30'58.9"N and 91°41'37.1"E during January to December, 2005. Data collection- Biological data collection started from January to December, 2005; it included catch and species composition and prices of the various commercial fishes collected by ESBN. Data were collected by sampling fishing vessels operating the ESBN. Fishing effort of ESBN fishery was estimated. These data were then used to estimate production and revenue from the ESBN. Subsequently, this information was utilized to assess the ESBN stock  in the area. Bio-economic analysis- Species composition of the catches: Catch and species composition data were treated separately for each fishing gear due to the differences in fishing efficiency of catch gear and the different criteria used for sorting the shrimp into various commercial categories. Around 5 to 10 kg of mixed fishes was directly collected from the fish baskets when the fishing  boats came to the landing center. Samples were collected for two days in every month. The days were the full moon in each month and the next day. The samples were than transport in to laboratory and finally sorted into different group or species. The weight of each group of species was taken and their percentage composition was determined. Effort estimation- Fishing effort with the various gears was obtained from interviews with the fishing gear-operators and shrimp- collectors as well as from direct observations of the vessels engaged in fishing. Direct observations of fishing effort using bag nets were not possible as this gear is operated off a small. Fishing effort, therefore, had to be estimated based on interviews with the operators of this gear. Correct estimation of fishing effort is very important, as monthly production figures for each species are dependent on it. Sampling of catch and effort- Catch and effort data, with details of number of craft, number of ESBN net, number of huals/day, trip/day, catch per boat, catch/trip etc. were collected at the fishing. Information on total landing for a number of boat and the number of hauls/ day, estimated number of fishing days per month, species composition of catch (by weight), and value (Taka) for each species for caught was collected at the landing sites. Estimation of total catch- The boats were selected and fish baskets in each selected boats were counted and their weight was confirmed thought particularly discussion with the fishermen of the study area. Estimation total effort- Monthly total effort in involved in the landing centre for ESBN fishing was calculated by the following formula: Total effort (boat) = (Number of boat/trip) X (Number of trip/day) X (number of fishing/month).

Estimation of Catch per Unit Effort (CPUE):Total CPUE was calculated with the following formula: CPUE=(Catch/month) / (boat/month)

Cost and earning- Monthly data of cost and earning were collected for every month regularly. The monthly gross revenue for each species or group of shrimp or fin fish caught by a unit was obtained by multiplying the monthly mean catch rate of the species, or group, by the average price of the species/group, the number of fishing days and the average number of hauls per day. Data analysis- Entire collected data were precised and inspected cautiously and documented. Afterward assortment of data, these were revised and notched. In conclusion, significant tables were prepared in accordance with the objectives of the study. Data presented mostly in the tabular form and bar chart as well as pie chart because it is simple in calculation, widely used and easy to understand. Data were analyzed using the Microsoft excel 2007.

  Asian J. Med. Biol. Res. 2018, 4 (3), 315-322; ISSN 2411-4472 (Print) 2412-5571 (Online)
  doi: 10.3329/ajmbr.v4i3.38471
Funding Source:
1.   Budget:  
  

Estuarine Setbagnet (ESBN) fishing is organized as a family enterprise, with active participation of the family in fishing, marketing and processing. Although it is practiced almost round the year, fishermen seasonally shift to other fisheries also i.e. Hilsha fishing by gill net. They also undertake a variety of non-fishing activities as part time source of additional income.

  Journal
  


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