A spatial assessment of agricultural vulnerability to climate change using multidimensional data in Maharashtra state of India
This study aims to examine district-level agricultural vulnerability in the semi-arid and drought-prone state of Maharashtra. Using a multidimensional approach, suitable indicators for 34 districts were selected under exposure, sensitivity and adaptive capacity, aligning with the IPCC 2007 framewor...
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| Language: | English |
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Indian Council of Agricultural Research
2024-11-01
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| Series: | The Indian Journal of Agricultural Sciences |
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| Online Access: | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 |
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| author | PRAKASH G ATHARE DHARAM RAJ SINGH NALINI RANJAN KUMAR GIRISH KUMAR JHA P VENKATESH |
| author_facet | PRAKASH G ATHARE DHARAM RAJ SINGH NALINI RANJAN KUMAR GIRISH KUMAR JHA P VENKATESH |
| author_sort | PRAKASH G ATHARE |
| collection | DOAJ |
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This study aims to examine district-level agricultural vulnerability in the semi-arid and drought-prone state of Maharashtra. Using a multidimensional approach, suitable indicators for 34 districts were selected under exposure, sensitivity and adaptive capacity, aligning with the IPCC 2007 framework for vulnerability assessment. The analysis used temperature and rainfall data spanning 50 years (1968–2017). It also incorporated area and yield data from 2011 to 2020, along with other indicators for the year 2019–20. The composite agricultural vulnerability index (CAVI) score was obtained using proper normalization and assigning weights. The study revealed that the Marathwada and Vidarbha regions reported higher potential crop losses. Among the districts, Sangali was the most exposed (0.57), while Jalgaon was the least exposed (0.31) to climate variations. Ahmednagar exhibited the highest sensitivity (0.70), while Nagpur showed the lowest sensitivity (0.34) to climate change. Regarding adaptive capacity, Pune demonstrated the highest resilience (0.57) and Sindhudurg displayed the lowest score (0.23). CAVI highlighted that the Konkan region, along with western Maharashtra and eastern parts of Vidarbha, exhibited relatively lower vulnerability to climate change, due to factors such as lower potential crop loss and better adaptive capacity. In contrast, Marathwada and western Vidarbha regions were more vulnerable, facing significant crop production losses and higher exposure to climate variability. Hence, to build resilience to climate change and reduce crop production losses, crop planning needs to be adjusted according to the climatic conditions in these regions.
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| format | Article |
| id | doaj-art-1abc30759959473b8ebb59bff3d994c7 |
| institution | Kabale University |
| issn | 0019-5022 2394-3319 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Indian Council of Agricultural Research |
| record_format | Article |
| series | The Indian Journal of Agricultural Sciences |
| spelling | doaj-art-1abc30759959473b8ebb59bff3d994c72024-11-13T06:19:38ZengIndian Council of Agricultural ResearchThe Indian Journal of Agricultural Sciences0019-50222394-33192024-11-01941110.56093/ijas.v94i11.152381A spatial assessment of agricultural vulnerability to climate change using multidimensional data in Maharashtra state of IndiaPRAKASH G ATHARE0DHARAM RAJ SINGH1NALINI RANJAN KUMAR2GIRISH KUMAR JHA3P VENKATESH4ICAR-Indian Agricultural Research Institute, New DelhiICAR-Indian Agricultural Research Institute, New DelhiICAR-National Institute of Agricultural Economics and Policy Research, New DelhiICAR-Indian Agricultural Statistics Research Institute, New DelhiICAR-Indian Agricultural Research Institute, New Delhi 110 012, India This study aims to examine district-level agricultural vulnerability in the semi-arid and drought-prone state of Maharashtra. Using a multidimensional approach, suitable indicators for 34 districts were selected under exposure, sensitivity and adaptive capacity, aligning with the IPCC 2007 framework for vulnerability assessment. The analysis used temperature and rainfall data spanning 50 years (1968–2017). It also incorporated area and yield data from 2011 to 2020, along with other indicators for the year 2019–20. The composite agricultural vulnerability index (CAVI) score was obtained using proper normalization and assigning weights. The study revealed that the Marathwada and Vidarbha regions reported higher potential crop losses. Among the districts, Sangali was the most exposed (0.57), while Jalgaon was the least exposed (0.31) to climate variations. Ahmednagar exhibited the highest sensitivity (0.70), while Nagpur showed the lowest sensitivity (0.34) to climate change. Regarding adaptive capacity, Pune demonstrated the highest resilience (0.57) and Sindhudurg displayed the lowest score (0.23). CAVI highlighted that the Konkan region, along with western Maharashtra and eastern parts of Vidarbha, exhibited relatively lower vulnerability to climate change, due to factors such as lower potential crop loss and better adaptive capacity. In contrast, Marathwada and western Vidarbha regions were more vulnerable, facing significant crop production losses and higher exposure to climate variability. Hence, to build resilience to climate change and reduce crop production losses, crop planning needs to be adjusted according to the climatic conditions in these regions. https://epubs.icar.org.in/index.php/IJAgS/article/view/152381Crop production loss, Climate change, Maharashtra, Agricultural vulnerability |
| spellingShingle | PRAKASH G ATHARE DHARAM RAJ SINGH NALINI RANJAN KUMAR GIRISH KUMAR JHA P VENKATESH A spatial assessment of agricultural vulnerability to climate change using multidimensional data in Maharashtra state of India The Indian Journal of Agricultural Sciences Crop production loss, Climate change, Maharashtra, Agricultural vulnerability |
| title | A spatial assessment of agricultural vulnerability to climate change using multidimensional data in Maharashtra state of India |
| title_full | A spatial assessment of agricultural vulnerability to climate change using multidimensional data in Maharashtra state of India |
| title_fullStr | A spatial assessment of agricultural vulnerability to climate change using multidimensional data in Maharashtra state of India |
| title_full_unstemmed | A spatial assessment of agricultural vulnerability to climate change using multidimensional data in Maharashtra state of India |
| title_short | A spatial assessment of agricultural vulnerability to climate change using multidimensional data in Maharashtra state of India |
| title_sort | spatial assessment of agricultural vulnerability to climate change using multidimensional data in maharashtra state of india |
| topic | Crop production loss, Climate change, Maharashtra, Agricultural vulnerability |
| url | https://epubs.icar.org.in/index.php/IJAgS/article/view/152381 |
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