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Multi-scale vulnerability assessment for adaptation planning

机译:多尺度脆弱性评估,以适应规划

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摘要

Vulnerability of communities and natural ecosystems, to potential impacts of climate change in developing countries like India, and the need for adaptation are rapidly emerging as central issues in the debate around policy responses to climate change. The present study presents an approach to identify and prioritize the most vulnerable districts, villages and households in Karnataka State, through a multi-scale assessment of inherent vulnerability to current climate variability. It also identifies the drivers of inherent vulnerability, thereby providing a tool for developing and mainstreaming adaptation strategies, in ongoing developmental or dedicated adaptation programmes. The multi-scale assessment was made for all 30 districts at the state level in Karnataka, about 1220 villages in Chikballapur district, and at the household level for two villages - Gundlapalli and Saddapalli - in Bagepalli taluk of Chikballapur district. At the district, village and household levels, low levels of education and skills are the dominant factors contributing to vulnerability. At the village and household level, the lack of income diversification and livelihood support institutions are key drivers of vulnerability. The approach of multi-scale vulnerability assessment facilitates identification and prioritization of the drivers of vulnerability at different scales, to focus adaptation interventions to address these drivers.
机译:社区和自然生态系统的脆弱性,气候变化对像印度这样的发展中国家的潜在影响以及适应的需求正迅速成为围绕气候变化的政策对策辩论中的核心问题。本研究提出了一种通过对当前气候易变性的固有脆弱性进行多尺度评估来确定和确定卡纳塔克邦最脆弱的地区,村庄和家庭的优先级的方法。它还确定了固有脆弱性的驱动因素,从而为在正在进行的发展或专门的适应计划中制定适应战略并将其纳入主流提供了工具。在卡纳塔克邦州一级的所有30个地区,奇克拉巴拉普地区的约1220个村庄,以及奇克拉巴拉普地区的巴格帕利塔鲁克的两个村庄Gundlapalli和Saddapalli的家庭一级,进行了多尺度评估。在地区,村庄和家庭一级,教育和技能水平低是造成脆弱性的主要因素。在村庄和家庭一级,缺乏收入多样化和生计支持机构是造成脆弱性的主要因素。多尺度脆弱性评估的方法有助于在不同尺度上识别和确定脆弱性驱动因素的优先顺序,从而使适应性干预措施集中于应对这些驱动因素。

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