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Climate Change Impacts Assessment Using Crop Simulation Model Intercomparison Approach in Northern Indo-Gangetic Basin of Bangladesh

Author

Listed:
  • Md Rafique Ahasan Chawdhery

    (Department of Agroecology and Crop Production, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Kamýcká 129, Suchdol, 16500 Prague, Czech Republic)

  • Murtuza Al-Mueed

    (Ministry of Public Administration, Dhaka 1000, Bangladesh)

  • Md Abdul Wazed

    (Department of Chemical and Materials Engineering, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand)

  • Shah-Al Emran

    (Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA)

  • Md Abeed Hossain Chowdhury

    (Bangladesh Agricultural Research Council, Crop Zoning Project, Farmgate, Dhaka 1000, Bangladesh)

  • Sk Ghulam Hussain

    (International Maize and Wheat Improvement Center (CIIMMYT), Gulshan-1, Dhaka 1212, Bangladesh)

Abstract

The climate change impacts of South Asia (SA) are inextricably linked with increased monsoon variability and a clearly deteriorating trend with more frequent deficit monsoons. One of the most climate-vulnerable nations in the eastern and central Indo-Gangetic Basin is Bangladesh. There have been numerous studies on the effects of climate change in Bangladesh; however, most of them tended to just look at a small fraction of the impact elements or were climatic projections without accounting for the effects on agriculture. Additionally, simulation studies using the CERES-Rice and CERES-Wheat models were conducted for rice and wheat to evaluate the effects of climate change on Bangladeshi agriculture. However, up to now, Bangladesh has not implemented farming system ideas by integrating cropping systems with other income-generating activities. This study was conducted as part of the Indo-Gangetic Basin (IGB) regional evaluations using the protocols and integrated assessment processes of the Agricultural Model Intercomparison and Improvement Project (AgMIP). It was also done to calibrate crop models (APSIM and DSSAT) using rice and wheat. To assist policymakers in creating national and regional plans for anticipated future agricultural systems, our work on the integrated evaluation of climate change impacts on agricultural systems produced realistic predictions. The outcome of this research prescribes a holistic assessment of climate change on future production systems by including all the relevant enterprises in the agriculture sector. The findings of the study suggested two major strategies to minimize the yield and increase the profitability in a rice–wheat cropping system. Using a short-term HYV (High Yielding Variety) of rice can shift the sowing time of wheat by 7 days in advance compared to the traditional sowing days of mid-November. In addition, increasing the irrigation amount by 50 mm for wheat showed a better yield by 1.5–32.2% in different scenarios. These climate change adaptation measures could increase the per capita income by as high as 3.6% on the farm level.

Suggested Citation

  • Md Rafique Ahasan Chawdhery & Murtuza Al-Mueed & Md Abdul Wazed & Shah-Al Emran & Md Abeed Hossain Chowdhury & Sk Ghulam Hussain, 2022. "Climate Change Impacts Assessment Using Crop Simulation Model Intercomparison Approach in Northern Indo-Gangetic Basin of Bangladesh," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15829-:d:986458
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    References listed on IDEAS

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    1. Aftab Wajid & Khalid Hussain & Ayesha Ilyas & Muhammad Habib-ur-Rahman & Qamar Shakil & Gerrit Hoogenboom, 2021. "Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments," Agriculture, MDPI, vol. 11(11), pages 1-22, November.
    2. Muhammad Khalid Anser & Tayyaba Hina & Shahzad Hameed & Muhammad Hamid Nasir & Ishfaq Ahmad & Muhammad Asad ur Rehman Naseer, 2020. "Modeling Adaptation Strategies against Climate Change Impacts in Integrated Rice-Wheat Agricultural Production System of Pakistan," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
    3. Md. Ruhul Amin & Junbiao Zhang & Mingmei Yang, 2015. "Effects of Climate Change on the Yield and Cropping Area of Major Food Crops: A Case of Bangladesh," Sustainability, MDPI, vol. 7(1), pages 1-18, January.
    4. Muhammad Aamir Khan & Alishba Tahir & Nabila Khurshid & Muhammad Iftikhar ul Husnain & Mukhtar Ahmed & Houcine Boughanmi, 2020. "Economic Effects of Climate Change-Induced Loss of Agricultural Production by 2050: A Case Study of Pakistan," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
    5. McCown, R. L. & Hammer, G. L. & Hargreaves, J. N. G. & Holzworth, D. P. & Freebairn, D. M., 1996. "APSIM: a novel software system for model development, model testing and simulation in agricultural systems research," Agricultural Systems, Elsevier, vol. 50(3), pages 255-271.
    6. Potopová, V. & Trnka, M. & Vizina, A. & Semerádová, D. & Balek, J. & Chawdhery, M.R.A. & Musiolková, M. & Pavlík, P. & Možný, M. & Štěpánek, P. & Clothier, B., 2022. "Projection of 21st century irrigation water requirements for sensitive agricultural crop commodities across the Czech Republic," Agricultural Water Management, Elsevier, vol. 262(C).
    Full references (including those not matched with items on IDEAS)

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