Assessment on Long–Term Meteorological Data and Farmer’s Perception towards the Impact of Climate Change during Past 30 YearsShifat Ara*, and M. A. Sattar
Received: 17 July, 2021; Accepted: 29 August, 2021; Published: 31 August, 2021
Climate change has emerged as one of the most serious dangers to people's lives and livelihoods throughout the world in recent years. Bangladesh is one of the world's most susceptible countries to climate change. The country is already dealing with the impacts of climate change, such as increased cyclones, flood frequency, and river erosion. Reduced agricultural production, as well as cropping intensity, have impacted people in many coastal areas. Long-term meteorological data (past 30 years) was used in the study to assess climate change scenarios in the South-West coastal region of Bangladesh. The annual variation of climatic factors during past 30 years of the study areas were collected through Focus Group Discussion (FGD). The Mann-Kendall Trend Test was used to evaluate the accumulated data over time for consistent increasing or decreasing trends in each study area. The maximum and minimum annual temperature was steady increasing trend. Besides that, annual rainfall and humidity showed irregular patterns of increasing and decreasing. Agricultural production was decreased after the year 2012 in those areas. This study will be helpful to determine the barriers to good agricultural production in coastal areas.
Keywords: Climate change, meteorological data, coastal area, and agriculture.
*Corresponding author: Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj-8100, Bangladesh; Department of Agriculture Extension, Ministry of Agriculture, Bangladesh. Email: [email protected]
To cite this article: Ara, S., & Sattar, M. A. (2021). Assessment on Long–Term Meteorological Data and Farmer’s Perception towards the Impact of Climate Change during Past 30 Years. International Journal for Asian Contemporary Research, 1 (III), 113-122.
- Alexandrov, V. A., & Hoogenboom, G. (2001). Climate variation and crop production in Georgia, USA, during the twentieth century. Climate Research, 17(1), 33-43.
- BBS (Bangladesh Bureau of Statistics) (2011) Population and housing census report 2011. Bangladesh Bureau of Statistics, Ministry of Planning, Dhaka
- BCCAAP (Bangladesh Climate Change Strategy and Action Plan) (2010) Ministry of Environment and Forest (MOEF), Government of People’s Republic of Bangladesh, Dhaka
- BPRSP (Bangladesh: Poverty Reduction Strategy Paper) (2005). General economics division. Planning Commission, Government of People’s Republic of Bangladesh, Dhaka
- Climate Change and Water. Technical Paper of the Inter-Governmental Panel on Climate Change, IPCC Secretariat, Geneva, pp 210.
- Fisher, M., Abate, T., Lunduka, R. W., Asnake, W., Alemayehu, Y., & Madulu, R. B. (2015). Drought tolerant maize for farmer adaptation to drought in sub-Saharan Africa: Determinants of adoption in eastern and southern Africa. Climatic Change, 133(2), 283-299.
- Gilbert, R.O. (1987). Statistical Methods for Environmental Pollution Monitoring. Van Nostrand Reinhold Company, Inc, New York.
- Hollander, M., Wolfe, D.A. (1973). Nonparametric Statistical Methods. John Wiley and Sons, Inc., Hoboken, NJ.
- Inter-governmental Panel on Climate Change (IPCC). (2007). Impacts, adaptation and vulnerability. Report of the working group-II.
- IPCC. (2001) Climate change: Impacts, adaptation, and vulnerability, Cambridge: Cambridge University Press, 2001.
- Kendall, M.G. (1975). Rank Correlation Methods. Charles Griffin and Co Ltd, London, U.K.
- Mann, H.B., 1945. Non-parametric tests against trend. Econometrica 13, 245-259.
- Meza-Pale, P., & Yunez-Naude, A. (2015). The Effect of Rainfall Variation on Agricultural Households: Evidence from Mexico.
- Mohammad H. Mondal. (2005.) Challenges and Opportunities of sustainable crop production in Bangladesh. Eighth Biennial Agronomy Convention. Bangladesh Society of Agronomy.
- Partal, T., Kahya, E. (2006). Trend analysis in Turkish precipitation data. Hydrol. Process. 20 (9), 2011-2026.
- Poudel, S., & Shaw, R. (2016). The relationships between climate variability and crop yield in a Mountainous environment: A case study in Lamjung District, Nepal. Climate, 4(1), 13.
- Schlenker, W., & Roberts, M. J. (2008). Estimating the impact of climate change on crop yields: The importance of nonlinear temperature effects: National Bureau of Economic Research.
- Wang, J., Huang, J., & Yang, J. (2014). Overview of impacts of climate change and adaptation in China’s agriculture. Journal of Integrative Agriculture, 13(1), 1-17.
- Yilmaz, G., Perera, B.J.C. (2015). Spatiotemporal trend analysis of extreme rainfall events in Victoria, Australia. Water Resour. Manag. 29 (12), 4465-4480
Copyright information: Copyright © 2021 Author(s) retain the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License