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Research Detail

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Md. Istiaque Hossain
Department of Fisheries, Faculty of Agriculture, University of Rajshahi

Md. Mahmudul Alam
Institute for Environment and Development (LESTARI), UKM, Malaysia

Madan Mohan Dey
Aquaculture Economics and Marketing, Aquaculture/Fisheries Center, University of Arkansas Pine Bluff, USA

Chamhuri Siwar
Institute for Environment and Development (LESTARI), UKM, Malaysia

Mazlin Bin Mokhtar
Institute for Environment and Development (LESTARI), UKM, Malaysia

Bangladesh is the largest floodplain land of the world, which counted 80% land areas and 73% of households of the country. In the floodplain beel area, there are three types of fishermen – part-time, full-time, and subsistence – who mostly depends on the fishing in the monsoon time. However, due to environment degradation and over exploitation of resources the fish production in these beels has dropped down significantly. Therefore to ensure the efficient ways of harvesting and to ensure the socioeconomic welfare of the fishermen, understanding the nature and efficiency of available gears is very important. To measure the productivity of locally used gears this study collected primary data from the beel Sholiamary and beel Gheramary area from Mymensingh Sadar in Bangladesh through a questionnaire survey based on simple stratified random sampling method. The data were analyzed though descriptive statistics, percentile analysis, one-way analysis of variance (ANOVA) F-test, Post Hoc (Scheffe) test, and Pearson’s correlation test. The statistical tests were measured at 1%, 5%, and 10% significance level. This study concluded that the physical productivity in terms of daily catches and economic productivity in terms of income from fishing differed significantly among the available gears—five fishing nets, one fishing trap and two wounding gears. The highest number of used gears was wounding, and lowest was seine-net. The highest fishing effort and fishing duration were recorded for bair, and lowest fishing effort was for seine-net and lowest fishing duration was for push-net. However based on catch per unit of effort the seine-net was found the most productive gear and the bair was the least productive gear. In terms of monetary return (TK), gill-net and long-line provided the highest value and bair the lowest.

  Social, Economic, Productivity, Floodplain, Beel
  Mymensingh Sadar, Bangladesh
  00-07-2006
  00-09-2007
  Animal Health and Management
  Aquatic animal

To find out the productivity of different fishing gears that fishermen used in the floodplain beel areas.

Study area: For this study, data were collected from the beel Sholiamary and beel Gheramary area from Mymensingh Sadar in Bangaldesh. Mymensingh Sadar is situated between 240 38’ and 240 54’ north latitude and between 900 12’ and 900 30’ east latitude having an area of 388.45 sq km. Sholiamary beel is situated beside road side under the village of Bhatibarerpar union of Ghagra upazila of Mymensingh Sadar. It is a semi-closed1 37 hectares water body that privately owned by 106 households. It is connected with Pagairar River under the main river basin of Brammputra. Depth of water is average 1.1 meter and flooding duration is four to five months. Gheramary beel is situated under the village of Dariakandi and Tekervita, union of Ghagra upazila of Mymensingh Sadar. It is also a semi-closed water body connected by Garamalla canal to a nearby local river Pagairar, which further connected to Brahmaputra. This Beel area included 87 ha of privately owned lands and 8 ha of government Khas lands. Farmers grow one rice crop (boro) during January to April and in the rest of the months it remains under water with 2.0-2.5 m water depth during July to October. There is a water control system (sluice gate) of Water Development Board in the canal. There is an earthen road surrounding the floodplain area having several small bridges/culverts (12) in different locations. There are 5 villages located surrounding the beel. Data Collection: The data were collected and monitored in respect of fishing activities and social wellbeing of fishers’ conditions from July’06 to September’07. All the research data were collected by researcher themselves with the help of enumerators. For questionnaire interviews, simple stratified random sampling method was followed. The interview of fishermen was made at home or at field. Models and Variables: Fishing effort: To calculate fishing effort, the total number of average gear used per day per person. Summing the monthly catches gave the annual catch per site. The annual yield was obtained by dividing this total annual catch by the maximum extent of the floodplain at each site. To facilitate the analysis, the species were grouped according to the annual catch was subdivided over these groups. Data were validated by testing statistical significance of the mean value. Different gears were further tested by using one-way analysis of variance (ANOVA) F-test. To identify significant differences among means, Post Hoc (Scheffe) test were conducted. As the number of sample was not equal for all of the gear, Scheffe method was used instead of Tukey for Post Hoc analysis. To check the linkage among physical and monitory performance with gear efficiency, correlation coefficients were estimated by Pearson’s Correlation coefficient method which were also tested for statistical significance at 1%, 5%, and 10% level. The statistical analysis was performed by using SPSS software.
  Nova Journal of Humanities and Social Sciences Vol 2(2), Feb 2014:1-20
  
Funding Source:
  
The physical productivity of gears in terms of daily catches and economic productivity of gears in terms of income from fishing differed significantly, especially seine-net differed significantly with all other gears, and hooks differed with cast-net and gill-net and vice versa. After the bair, the hook was the most unproductive great which showed significant negative relationship with the daily catch amount, monthly and total seasonal income, and number of month of fishing. The fishing gears were not differed significantly based on the social and demographic data and none of the gear had any relationship with the social and demographic data such as number of household members, educations, etc. Daily catches amount that determine the income from fishing showed statistically significant positive relationships with total seasonal income, monthly income and number of fishing months. The availability of fishes in two beels differed due to extra carp fish fingerlings released in one beel so that beels type shows significant relationships with monthly income, number of fishing months, fishing days, and daily catches of fish.
  Journal
  


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