Agronomic monsoon onset definitions to support planting decisions for rainfed rice in Bangladesh
The usability gaps between climate information producers and users have always been an issue in climate services. This study aims to tackle the gap for rice farmers in Bangladesh by exploring the potential value of tailored agronomic monsoon onset definitions. Summer aman rice is primarily cultivate...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/144034 |
| _version_ | 1855515315276873728 |
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| author | Eunjin Han Montes, Carlo Hussain, Sk. Ghulam Krupnik, Timothy J. |
| author_browse | Eunjin Han Hussain, Sk. Ghulam Krupnik, Timothy J. Montes, Carlo |
| author_facet | Eunjin Han Montes, Carlo Hussain, Sk. Ghulam Krupnik, Timothy J. |
| author_sort | Eunjin Han |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The usability gaps between climate information producers and users have always been an issue in climate services. This study aims to tackle the gap for rice farmers in Bangladesh by exploring the potential value of tailored agronomic monsoon onset definitions. Summer aman rice is primarily cultivated under rainfed conditions, and farmers rely largely on monsoon rainfall and its onset for crop establishment. However, farmers’ perception of the arrival of sufficient rains does not necessarily coincide with meteorological definitions of monsoon onset. Therefore, localized agronomic definitions of monsoon onset need to be developed and evaluated to advance in the targeted actionable climate forecast. We analyzed historical daily rainfall from four locations across a north-south gradient in Bangladesh and defined dynamic definitions of monsoon onset based on a set of local parameters. The agronomic onset definition was evaluated in terms of attainable yields simulated by a rice simulation model compared to results obtained using conventional meteorological onset parameters defined by the amount of rainfall received and static onset dates. Our results show that average simulated yields increase up to 7 – 9% and probabilities of getting lower yields are reduced when the year-to-year varying dynamic onset is used over the two drier locations under fully rainfed conditions. It is mainly due to earlier transplanting dates, avoiding the impact of drought experienced with early monsoon demise. However, no yield increases are observed over the two wetter locations. This study shows the potential benefits of generating “localized and translated” climate predictions. |
| format | Journal Article |
| id | CGSpace144034 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1440342025-12-08T09:54:28Z Agronomic monsoon onset definitions to support planting decisions for rainfed rice in Bangladesh Eunjin Han Montes, Carlo Hussain, Sk. Ghulam Krupnik, Timothy J. monsoons crops modelling rice yields The usability gaps between climate information producers and users have always been an issue in climate services. This study aims to tackle the gap for rice farmers in Bangladesh by exploring the potential value of tailored agronomic monsoon onset definitions. Summer aman rice is primarily cultivated under rainfed conditions, and farmers rely largely on monsoon rainfall and its onset for crop establishment. However, farmers’ perception of the arrival of sufficient rains does not necessarily coincide with meteorological definitions of monsoon onset. Therefore, localized agronomic definitions of monsoon onset need to be developed and evaluated to advance in the targeted actionable climate forecast. We analyzed historical daily rainfall from four locations across a north-south gradient in Bangladesh and defined dynamic definitions of monsoon onset based on a set of local parameters. The agronomic onset definition was evaluated in terms of attainable yields simulated by a rice simulation model compared to results obtained using conventional meteorological onset parameters defined by the amount of rainfall received and static onset dates. Our results show that average simulated yields increase up to 7 – 9% and probabilities of getting lower yields are reduced when the year-to-year varying dynamic onset is used over the two drier locations under fully rainfed conditions. It is mainly due to earlier transplanting dates, avoiding the impact of drought experienced with early monsoon demise. However, no yield increases are observed over the two wetter locations. This study shows the potential benefits of generating “localized and translated” climate predictions. 2024-05 2024-05-23T17:26:13Z 2024-05-23T17:26:13Z Journal Article https://hdl.handle.net/10568/144034 en Open Access application/pdf Springer Han, E., Montes, C., Hussain, Sk. G., & Krupnik, T. J. (2024). Agronomic monsoon onset definitions to support planting decisions for rainfed rice in Bangladesh. Climatic Change, 177(5), 77. https://doi.org/10.1007/s10584-024-03736-z |
| spellingShingle | monsoons crops modelling rice yields Eunjin Han Montes, Carlo Hussain, Sk. Ghulam Krupnik, Timothy J. Agronomic monsoon onset definitions to support planting decisions for rainfed rice in Bangladesh |
| title | Agronomic monsoon onset definitions to support planting decisions for rainfed rice in Bangladesh |
| title_full | Agronomic monsoon onset definitions to support planting decisions for rainfed rice in Bangladesh |
| title_fullStr | Agronomic monsoon onset definitions to support planting decisions for rainfed rice in Bangladesh |
| title_full_unstemmed | Agronomic monsoon onset definitions to support planting decisions for rainfed rice in Bangladesh |
| title_short | Agronomic monsoon onset definitions to support planting decisions for rainfed rice in Bangladesh |
| title_sort | agronomic monsoon onset definitions to support planting decisions for rainfed rice in bangladesh |
| topic | monsoons crops modelling rice yields |
| url | https://hdl.handle.net/10568/144034 |
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