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Climate change impacts assessment using crop simulation model intercomparison approach in northern indo-gangetic basin of Bangladesh

Creador: Chawdhery, M.R.A.
Creador: Al-Mueed, M.
Creador: Wazed, M.A.
Creador: Shah-Al Emran
Creador: Md Abeed Hossain Chowdhury
Creador: Hussain, S.G.
Año: 2022
URI: https://hdl.handle.net/10883/22363
Lenguaje: English
Editor: MDPI
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Tipo: Article
País de enfoque: Bangladesh
Lugar de publicación: Basel (Switzerland)
Número: 23
Volumen: 19
DOI: 10.3390/ijerph192315829
Palabras Claves: APSIM
Palabras Claves: Agricultural Production Systems Simulator
Palabras Claves: DSSAT
Palabras Claves: Decision Support System for Agrotechnology Transfer
Palabras Claves: Crop Simulation Models
Palabras Claves: Climate Change Impact
Palabras Claves: Integrated Approach
Descripción: 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.
Agrovoc: AGRICULTURE
Agrovoc: CLIMATE CHANGE
Agrovoc: CROPS
Agrovoc: CROPPING SYSTEMS
Agrovoc: FARMING SYSTEMS
Agrovoc: FORECASTING
Agrovoc: RICE
Agrovoc: SIMULATION
Agrovoc: SOWING
Agrovoc: WHEAT
Datasets relacionados: https://www.mdpi.com/article/10.3390/ijerph192315829/s1
ISSN: 1660-4601
Revista: International Journal of Environmental Research and Public Health
Número de artículo: 15829


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