An evaluation of the Standardized Precipitation Index for assessing inter‐annual rice yield variability in the Ganges–Brahmaputra–Meghna region

摘要: Climate variability has major impacts on crop yields and food production in South Asia. The spatial differences of the impact are not, however, well understood. In this study, we thus aim to analyse spatio-temporal relationship between precipitation rice Ganges–Brahmaputra–Meghna region. effects rainfall variation were analysed with regression models using Standardized Precipitation Index (SPI) as an explanatory variable. Our results indicate that large part study region, a strong exists SPI at various lags chosen predictor variable performed describing inter-annual yield variability. However, demonstrated variations strength or optionally suitability methodology for investigating it. mid-plains Ganges, which represent very important agricultural areas, yields, while downstream Ganges Brahmaputra, where is more abundant, was less pronounced. Where performance weaker, it likely depended other factors such management practices climate temperature. further showed 1, 3, 6 12 month calculated monsoon time (June–October) most commonly best explaining can be considered useful some parts demonstrating they could used applications policy decisions improve region's security.