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Research Detail

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Md. Nuralam Hossain*
Faculty of Urban Construction and Environmental Engineering, Chongqing University, Chongqing, China

Md. Mijanur Rahman
NRM and Livelihoods Coordinator, Climate-Resilient Ecosystems and Livelihoods, CREL Project, South-West Region, Khulna, Bangladesh.

Kamrul Islam
Communication Officer, Climate-Resilient Ecosystems and Livelihoods-CREL Project, South-West Region, Khulna, Bangladesh.

Mongla upazila (sub district) of Bangladesh has the traditional practice of agriculture but now is extremely vulnerable due to frequent and intensive recurring phenomenon of natural hazards such as salinity intrusion, water logging, flood, cyclone and tidal surges. Therefore, this study was conducted for the assessment of vulnerability and its potential impacts on agricultural productions. This study was also focused to develop a strategy for minimizing the vulnerability. A total of 12 Focus Group Discussion’s (FGD) and 5 Key Informant Interviews (KII) were conducted. A wellorganized survey questionnaire was developed and used considering objectives and variables throughout this survey. Primary data was collected by face to face interviews, oral talk with local experts, FGD, KII methods and 3 time field visits. Secondary data was collected from different books, reports, daily newspapers, journal articles, research thesis. The major findings of this study were the causes of severely vulnerability of the production of two main crops that is Aman and Boro and also the agricultural labor. Furthermore, the drinking water was also found as severely vulnerable. This study was also revealed that, 88% respondent opined that the salinity has decreasing agriculture productions due to water logging followed by 4%. In contrast, 81% respondent opined that, the agriculture based occupation is shifting besides; 14% viewed that migration was also increased (climate refugee) due to salinity problem and 79% respondent viewed that, saline tolerant rice (HYV) cultivation is taken as a part of adaptation option. Furthermore, this study also emphasized that, the importance of adaptation of introducing saline tolerant rice varieties; re-excavation of canals, streams, and rivers. Moreover, it is suggested that the negotiation between local leaders and farmers to stop conversion of agriculture based lands into shrimp cultivation lands (gher) may be played as vital role to minimize the vulnerability of sustainable agricultural productions.

  Vulnerability; Agriculture; Production; Natural disaster; Bangladesh.
  Mongla upazila (sub-district) of Bagerhat district in Bangladesh
  00-09-2013
  00-03-2014
  Risk Management in Agriculture
  Disaster

The main objectives of the present study were to assess the vulnerability in agricultural production, and to identify the existing adaptation technique as well as to develop a strategy for minimizing the vulnerability.

2.1 Study Area, Demography and Socioeconomic Status Current research work was conducted at Mongla upazila (sub-district) of Bagerhat district in Bangladesh. The Mongla upazila occupies an area of 1461.20 sq. km. of which 1260.87 sq. km. is land area. On the other hand the reserve forest area and riverine area is 5.46 and 1.56 sq. km. respectively. It lies between 21° 49´ and 22° 33 ´ north latitude and between 89° 32 ` and 89° 44` east latitude. It is bounded on the north by Rampal upazila, on the east by Morrelganj and Sarankhola upazilas, on the south by the Bay of Bengal and on the west by Dacope upazila of Khulna district [12]. According to CRA report, 2009, the livelihood groups and their corresponding activities of Mongla upazila are very much diversified. The major livelihood activities include farming, fish culture, agro-labor, fishing service, business, van/rickshaw (mechanized van) pulling, cart pulling, date/palm climber), carpenter (wood), masonry, pottery, boat plying, blacksmith, barber, handicraft, imam etc. [8]. In the upazila the distribution of working people shows agriculture 21.41%, fishing 6.23%, agricultural laborer 12.41%, wage laborer 13.39%, commerce 15.09%, and transport 1.94%, service 16.27%, others 13.26% [12]. 2.2 Methods and Data Collection In order to determine the vulnerability of agricultural production and to identify natural disaster simple stratified random sampling method was followed for selecting the villages in Mongla upazila. Mongla upazila consisted of 6 union parishads among them 3 unions were selected. The data collection methods included the Focus Group Discussion (FGD), structured interviews (questionnaire survey) with the community peoples, and oral talk with local experts direct field observation and Key Informant Interviews (KII). A total of 12 FGD sessions were conducted among farmers, day laborer, fisheries and female groups. A total of 144 respondents were selected from 3 villages for questionnaire survey. A total of 5 key informant interviews (KII) were done by sectoral specialists and social/community leader including upazila food and disaster management officer, fisheries’ officer and agriculture extension officer of Mongla Upazila. The further necessary secondary data was pertaining by accessing the relevant information from different books, Reports, maps, website, daily newspapers, journal articles, research thesis, and data from different local government administrative offices like union and upazila office. During data collection the following questions were focused to get the information i) The major hazards of the study area resulting losses in agricultural production ii) The amount of the agricultural production of the area; and iii) The occupational pattern and changes of livelihood during and without disaster. This study was conducted from September 2013 to March 2014. 2.3 Data Processing and Analysis After completion of all the relevant data and information, all of them were tabulated manually including editing, coding. All the data processing and analysis was done using Microsoft Office and Excel program. According to the United Nations Development Programme defines Risk is conventionally expressed by the equation, Risk = Hazard + Vulnerability, [R= (H+V)]; other scientists defines Risk (disaster), vulnerability, and hazard, whose relations it convenient to schematize in a pseudo-equation: R = H x V, [24]. Therefore vulnerability assessment and computation was done following the equation; V= H x R, (Here, V = Vulnerability, R = Risk and H = hazard).

  British Journal of Applied Science & Technology 16(1): 1-13, 2016, Article no.BJAST.26007; ISSN: 2231-0843, NLM ID: 101664541
  
Funding Source:
1.   Budget:  
  

each year, the country experiences to disasters such as tropical cyclones, storm surges, coastal erosion, floods, and salinity intrusion causing heavy losses for farmers and agriculture sectors. Agricultural activities are by nature prone to risks and uncertainties of various nature- biophysical, abiotic, climatic, environmental, biotic (pests, diseases) and economic. Due to different types of hazard like salinity intrusion, water logging, flood, cyclone and tidal surges causing the agricultural productivity gradually low down and makes the people economically vulnerable. Among them most remarkably, salinity was extensively recognized as a major hazards for the community, agriculture, livestock, agriculture labor, and water supply and sanitation. Present research shown that delayed crop cultivation, shifting agriculture based occupation, saline tolerant rice cultivation, changing cropping pattern, rivers, streams and canals re-excavation to drain out water, built embankment around the agriculture land were adopted by the farmers to cope with climate vulnerability. The study also revealed that, although a variety of low cost, indigenous technologies have been used as adaptation strategies within these communities are not enough or modernized to minimize the vulnerability. Future research will help the policy maker to make local level adaptation plan and farmer’s friendly participatory climate vulnerability assessment plan which will benefit that community to ensure sustainable agriculture.

  Journal
  


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