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mean PDSI has also increased , and a comparison of climate model simulations with observed data suggests that anthropogenic increases in greenhouse gas and aerosol concentrations have made a detectable contribution to the observed drying trend in PDSI (Burke et al. 2006). For example, Indian agriculture is highly dependent on the spatial and temporal distribution of monsoon rainfall (Kumar et al. 2004). Asada & Matsumoto analysed the relationship between district-level crop yield data (rainy season ‘kharif’ rice) and Amazing book nerd reverse floral all over printed tote bagprecipitation for 1960–2000. It was shown that different regions were sensitive to precipitation extremes in different ways. Crop yield in the upper Ganges basin is linked to total precipitation during the relatively short growing season and is thus sensitive to drought. Conversely, the lower Ganges basin was sensitive to pluvial flooding and the Brahmaputra basin demonstrated an increasing effect of precipitation variability on crop yield, in particular drought. These relationships were not consistent through time, in part owing to precipitation trends. Variation between districts implied the importance of social factors and the

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