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Typical patterns of smallholder vulnerability to weather extremes with regard to food security in the Peruvian Altiplano

机译:在秘鲁高原地区,小农户在极端天气下对粮食安全的脆弱性的典型模式

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Smallholder livelihoods in the Peruvian Altiplano are frequently threatened by weather extremes, including droughts, frosts and heavy rainfall. Given the persistence of significant undernourishment despite regional development efforts, we propose a cluster approach to evaluate smallholders' vulnerability to weather extremes with regard to food security. We applied this approach to 268 smallholder households using information from two existing regional assessments and from our own household survey. The cluster analysis revealed four vulnerability patterns that depict typical combinations of household attributes, including their harvest failure risk, agricultural resources, education level and non-agricultural income. We validated the identified vulnerability patterns by demonstrating the correlation between them and an independently reported damage: the purchase of food and fodder resulting from exposure to weather extremes. The vulnerability patterns were then ranked according to the different amounts of purchase. A second validation aspect accounted for independently reported mechanisms explaining smallholders' sensitivity and adaptive capacity. Based on the similarities among the households, our study contributes to the understanding of vulnerability beyond individual cases. In particular, the validation strengthens the credibility and suitability of our findings for decision-making pertaining to the reduction of vulnerability.
机译:秘鲁高原地区的小农户生计经常受到极端天气的威胁,包括干旱,霜冻和大雨。考虑到尽管区域发展做出了巨大努力,但仍然存在严重的营养不足,我们提出了一种集群方法来评估小农在粮食安全方面对极端天气的脆弱性。我们使用来自两个现有区域评估和我们自己的家庭调查的信息,将这种方法应用于268个小农户。聚类分析揭示了四种脆弱性模式,这些模式描述了家庭属性的典型组合,包括其收成失败风险,农业资源,教育水平和非农业收入。我们通过证明它们与独立报告的损害之间的相关性来验证所确定的脆弱性模式:暴露于极端天气导致的食物和饲料购买。然后根据购买量的不同对漏洞模式进行排名。第二个验证方面是独立报告的机制,解释了小农的敏感性和适应能力。基于住户之间的相似性,我们的研究有助于理解个别案例之外的脆弱性。尤其是,验证可以增强我们的调查结果在降低脆弱性方面的可信度和适用性。

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