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运用动态指数法评估农业对气候变化的脆弱性。

Assessing agricultural vulnerability to climate change through dynamic indexing approach.

机构信息

Department of Economics, Faculty of Social Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India.

School of Law, Dayananda Sagar University, Bangalore, 560068, India.

出版信息

Environ Sci Pollut Res Int. 2024 Sep;31(42):55000-55021. doi: 10.1007/s11356-024-34738-0. Epub 2024 Sep 2.

DOI:10.1007/s11356-024-34738-0
PMID:39222231
Abstract

The present study aims to assess agricultural vulnerability in the context of climate change, focusing on the diverse districts of Odisha. Acknowledging that vulnerability is influenced by exposure, sensitivity, and adaptive capacity, our research incorporates the growth rate and instability of vital performance indicators to evaluate the relative vulnerability of each district. A key strength of this approach is the use of normalized indicators, weighted in accordance with the proportional acreage of major crops in each district relative to the state, culminating in a comprehensive vulnerability index through the aggregation of these weighted components. Our findings reveal significant variability in the vulnerability profiles across districts, thereby necessitating state-level intervention through tailored "Location Performance Vulnerability" based adaptation strategies. These strategies, including early weather warning systems, development of new and early maturing crop varieties, and adjustment of crop planting dates, are crucial for mitigating the adverse effects of climate change on agriculture. The study's methodology and findings offer significant contributions to the field, providing policymakers and stakeholders with a district-specific framework for climate change adaptation. This approach is especially relevant for the international academic and policy-making communities, as it highlights the importance of localized adaptation strategies in the broader context of global climate change resilience.

摘要

本研究旨在评估气候变化背景下的农业脆弱性,重点关注奥里萨邦的不同地区。我们认识到脆弱性受到暴露度、敏感度和适应能力的影响,因此我们的研究纳入了重要绩效指标的增长率和不稳定性,以评估每个地区的相对脆弱性。该方法的一个主要优势是使用归一化指标,根据每个地区相对于该邦的主要作物的比例进行加权,通过对这些加权成分的聚合得出全面的脆弱性指数。我们的研究结果表明,各地区的脆弱性特征存在显著差异,因此需要通过基于“地点绩效脆弱性”的适应性策略进行州级干预。这些策略包括早期天气预报系统、开发新的和早熟作物品种,以及调整作物种植日期,对于减轻气候变化对农业的不利影响至关重要。本研究的方法和发现为该领域做出了重要贡献,为政策制定者和利益相关者提供了一个针对气候变化适应的地区特定框架。这种方法对于国际学术界和政策制定者来说尤为重要,因为它强调了在更广泛的全球气候变化适应背景下,本地化适应策略的重要性。

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