| Author | Hung Ling. |
| Call Number | AIT Thesis no.DM-11-02 |
| Subject(s) | Climatic changes--Myanmar.
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| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Disaster Preparedness, Mitigation and Management, School of Environment, Resources and Development |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. DM-11-02. |
| Abstract | In this research study, the trends of observed climatic data (temperature and rainfall) over the last few decades ( 1965-2003) in central Myanmar has been carried out to assess the impact of dryland agriculture in a changing climate environment. The observed temperature and precipitation data of the last several decades shows an increasing trend in temperature and decreasing trend in rainfall in the study areas. In this study, the data collected from 80 households in Nyaung Pin Thar village and Myint Thar Taung village, Kyaukpadaung Township, Mandalay Division, and Central Myanmar was also used to get the perception from farmers. The study assessed the impact of climate change on dry land agriculture, potential impact of dry land famers' activities and their coping mechanisms. The researcher used social scaling by weighted average index (W Al), to verify the corresponding numerical value to severity of the climate change problem perceived by the dry land famers, determine the constrains of changing cropping pattern, reason for hot pepper cultivation, and copping mechanism. One sample t-test was used to analyze if the mean of sample is different from the secondary data of 2004-2008 average yields per acre. To assess the sensitive indicators on climate change impacts on dry land agriculture area under crops by using multiple regression analysis. According to the research, migration for employment was commonly used for adaptation strategies in study areas. The study reveals that yield production is declining due to decreasing rainfall, increasing temperature and frequent drought. The result of multiple regression model output show that the increasing temperature, inadequate rainfall, shifting rainfall, delayed onset of monsoon and early withdrawal and frequent drought are sensitive to dry land agricultural area under crops. |
| Year | 2011 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. DM-11-02. |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Development and Sustainability (DDS) |
| Academic Program/FoS | Disaster Preparedness, Mitigation and Management (DM) |
| Chairperson(s) | Routray, Jayant Kumar.; |
| Examination Committee(s) | Shrestha, Rajendra Prasad;Potty, Jayaraman KV.; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Thesis (M. Sc.) - Asian Institute of Technology, 2011. |