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Mapping the need for adaptation: assessing drought vulnerability using the livelihood vulnerability index approach in a mid-hill region of Nepal

机译:绘制适应需求:使用尼泊尔中山地区的生计脆弱性指数方法评估干旱脆弱性

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For effective development and adaptation interventions in resource-poor regions to take place, it is critical to identify, at the highest spatial scale possible, regions of higher priority based on current needs and vulnerabilities. The index-based assessment of vulnerability to climate change and variability is typically used to identify administrative-level regions of high vulnerability using various socioeconomic and biophysical datasets. One method that combines both approaches at the community level consists of collecting highly resolved socio-economic data and using the livelihood vulnerability index (LVI) to assess population vulnerability to increased climate variability and shocks. We use this mixed-methods approach in mapping climate vulnerability of ten drought-prone villages in the central-east mid-hill region of Nepal. We integrate data from over 900 household surveys and national-level databases and identify spatial patterns in the different components of climate vulnerability. We assess to what extent climatic extremes or people's socioeconomic capacity contribute to vulnerability and may shape development needs at the sub-district scale. We find that the majority of our study area falls in the high vulnerability category with significant spatial variation. In some villages, there are different vulnerability classes in different wards, indicating that even within the lowest administrative units, there is a significant spatial variation in the level of vulnerability. Livelihood strategies, water availability, and topographic components played the most important role in determining overall vulnerability and we measure strong interconnections among different components. The interconnectedness nature of different vulnerability components is creating a self-reinforcing downward spiral of vulnerability that traps local communities in a state of heightened vulnerability. We conclude that adaptation strategies in highly vulnerable regions should include careful consideration of different livelihoods and environmental components, their fine-scale spatial variations, and interconnections.
机译:为了在资源贫困地区进行有效的开发和适应干预措施,至关基于当前需求和漏洞,以最高的空间尺度识别最高的空间比例至关重要。基于指数的气候变化和变异性的脆弱性评估通常用于使用各种社会经济和生物物理数据集识别高漏洞的行政级别区域。结合社区级别的两种方法的一种方法包括收集高度解决的社会经济数据,并使用生计漏洞指数(LVI)来评估人口脆弱性,以增加气候变异性和冲击。我们使用这种混合方法方法在尼泊尔中央东部山区地区的十个干旱普通村的气候脆弱性。我们将数据从超过900名户级数据库集成,并确定了气候脆弱性不同组成部分中的空间模式。我们评估了气候极端或人民社会经济能力在多大程度上促进脆弱性,并且可以在子地区规模上塑造发展需求。我们发现,我们的大多数研究区都属于高漏洞类别,具有显着的空间变化。在一些村庄,不同病房中存在不同的漏洞课程,表明即使在最低的行政单位内,脆弱性水平也存在显着的空间变化。生计策略,水可用性和地形组件在确定整体漏洞中发挥了最重要的作用,我们测量不同组件之间的强大互连。不同漏洞组件的互连性质正在创造自我加强的向下螺旋的脆弱性,以捕获漏洞的状态捕获当地社区。我们得出结论,高度弱势地区的适应策略应包括仔细考虑不同的生计和环境组成部分,它们的微尺度空间变化和互连。

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