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Link between monsoon rainfall variability and agricultural drought in the semi-arid region of Maharashtra, India


Affiliations
1 Department of Geography, Vidya Pratishthan’s ASC College, Baramati 413 133, India
 

The monsoon rainfall variability in semi-arid regions affects all economic activities in general and agriculture in particular. The present study, therefore, analyses monsoon rainfall variability and its connection with El Niño Southern Oscillation (ENSO), Indian Ocean Dipole (IOD) and agriculture in the semi-arid region of Maharashtra, India during 1980–2014. Linear correlation and regression analysis were carried out to evaluate the role of ENSO and IOD in rainfall variability. The standardized precipitation index (SPI), standardized cropped productivity index (SCPI) and standardized crop area index (SCAI) were used to compare the agro-meteorological variability. The depen­dency of agricultural cropped area on rainfall was verified using satellite data (NDVI). The El Niño events and positive phase of IOD were mainly responsible for below-average rainfall over the study region. This highlights the need to incorporate the ENSO and IOD for precise forecasting of monsoon rainfall. Rainfall variability (up to 33%) over the study basins causes meteorological droughts and eventually results in agricultural droughts. The agricultural productivity of rainfed as well as irrigated crops was significantly affected by rainfall variability. Particularly, during the severe meteorological droughts (1985–86, 2002–03 and 2012), agricultural productivity and cropped area were significantly reduced. Under the future climate change scenario, a rise in temperature will further add to the already difficult agricultural water management challenge. Therefore, agronomists and water resources managers have to design a judicial plan which can mitigate the water scarcity and sustain agricultural yield even in warming conditions.

Keywords

Agriculture, drought, future climate change, monsoon rainfall, semi-arid regions.
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  • Link between monsoon rainfall variability and agricultural drought in the semi-arid region of Maharashtra, India

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Authors

Rahul S. Todmal
Department of Geography, Vidya Pratishthan’s ASC College, Baramati 413 133, India

Abstract


The monsoon rainfall variability in semi-arid regions affects all economic activities in general and agriculture in particular. The present study, therefore, analyses monsoon rainfall variability and its connection with El Niño Southern Oscillation (ENSO), Indian Ocean Dipole (IOD) and agriculture in the semi-arid region of Maharashtra, India during 1980–2014. Linear correlation and regression analysis were carried out to evaluate the role of ENSO and IOD in rainfall variability. The standardized precipitation index (SPI), standardized cropped productivity index (SCPI) and standardized crop area index (SCAI) were used to compare the agro-meteorological variability. The depen­dency of agricultural cropped area on rainfall was verified using satellite data (NDVI). The El Niño events and positive phase of IOD were mainly responsible for below-average rainfall over the study region. This highlights the need to incorporate the ENSO and IOD for precise forecasting of monsoon rainfall. Rainfall variability (up to 33%) over the study basins causes meteorological droughts and eventually results in agricultural droughts. The agricultural productivity of rainfed as well as irrigated crops was significantly affected by rainfall variability. Particularly, during the severe meteorological droughts (1985–86, 2002–03 and 2012), agricultural productivity and cropped area were significantly reduced. Under the future climate change scenario, a rise in temperature will further add to the already difficult agricultural water management challenge. Therefore, agronomists and water resources managers have to design a judicial plan which can mitigate the water scarcity and sustain agricultural yield even in warming conditions.

Keywords


Agriculture, drought, future climate change, monsoon rainfall, semi-arid regions.

References





DOI: https://doi.org/10.18520/cs%2Fv122%2Fi8%2F934-944