基于农业和社会经济指标,分析印度Madhya Pradesh的地区级气候脆弱性模式
Amit Kumar1, Ashish Kumar2, Khushi Mann3
1School of Humanities and Social Sciences, Indian Institute of Technology Indore, Simrol, Indore, Madhya Pradesh, 453552, India. geoamit8995@gmail.com.
Environmental monitoring and assessment
|May 9, 2024
概括
气候变化对印度农业产生了影响,中邦的地区表现出不同的脆弱性. 量身定制的适应策略对于弹性至关重要,应对影响易感性的农业和社会经济因素.
科学领域:
- 农业科学 农业科学
- 适应气候变化 适应气候变化
- 环境科学 环境科学
背景情况:
- 印度农业在绿色革命后从赤字转向余,但现在面临着气候变化的挑战.
- 气候变化,以降雨量减少和气温上升为特征,显著影响了Madhya Pradesh的农业生产力和生计.
研究的目的:
- 通过复合脆弱性指数 (CVI) 评估马德雅邦的地区气候变化脆弱性.
- 分析农业和社会经济因素,这些因素导致各地区的脆弱性差异.
- 为气候弹性制定有针对性的适应和减缓战略提供信息.
主要方法:
- 计算的复合脆弱性指数 (CVI) 整合农业脆弱性指数 (AVI) 和社会经济脆弱性指数 (SEVI).
- 进行了降雨和温度数据的趋势分析 (1951-2021).
- 利用集群分析验证脆弱性指数结果.
主要成果:
- 地区表现出不同程度的脆弱性:低 (布尔汉普尔,巴拉加特),中等 (帕纳,博帕尔),高 (蒂卡姆加尔,印多尔) 和最高 (巴尔瓦尼,贾布亚).
- 脆弱性与种植范围,依赖降雨,干旱易感性,人口密度,地,雨水农业和边缘化工人的存在等因素有关.
- 集群分析证实了脆弱性的空间模式.
结论:
- 迫切需要量身定制的适应策略,以解决中邦的各种脆弱性指标.
- 调查结果提供了基于证据的政策建议,以提高区域对气候变化的适应力.
- 了解特定地区的脆弱性是农业有效适应气候变化的关键.
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