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Spatial patterns in the adaptive capacity of dryland agricultural households in South Punjab, Pakistan
Journal of Arid Environments ( IF 2.7 ) Pub Date : 2021-08-10 , DOI: 10.1016/j.jaridenv.2021.104610
Nausheen Mazhar 1, 2, 3 , Safdar Ali Shirazi 2 , Lindsay C. Stringer 3, 4 , Rachael H. Carrie 3 , Martin Dallimer 3
Affiliation  

Climate change and desertification continue to threaten livelihoods in drylands across the globe. This study explores the relative importance of Sustainable Livelihoods Framework components in explaining variation in the adaptive capacity of agricultural households in three districts in the drylands of south Punjab, Pakistan, and to identify spatial patterns in adaptive capacity distribution. Questionnaire generated data were analyzed using Non-Linear Principal Component Analysis and spatial cluster mapping using the Global Moran's I and Anselin Local Moran's I. Natural assets were found to describe most variation among households, followed by physical, financial, human and social assets. Most households with high adaptive capacity were spatially clustered in Rahim Yar Khan, a district offering more employment opportunities and multiple income sources. Low adaptive capacity clusters were abundant in Rajanpur where respondents had negative loadings on all the principal components. Bahawalpur district lacked any significant adaptive capacity clusters. Spatial analyses can serve as a useful tool for policy makers in identifying the areas requiring government intervention to enhance adaptive capacity. The approach used here could usefully be applied to dryland regions in other parts of the world, and could help guide more targeted efforts to build adaptive capacity.



中文翻译:

巴基斯坦南旁遮普省旱地农户适应能力的空间格局

气候变化和荒漠化继续威胁着全球旱地的生计。本研究探讨了可持续生计框架组件在解释巴基斯坦旁遮普省南部旱地三个地区农户适应能力变化方面的相对重要性,并确定适应能力分布的空间模式。使用非线性主成分分析和空间聚类映射分析问卷生成的数据,使用 Global Moran's I 和 Anselin Local Moran's I。发现自然资产描述了家庭之间的大部分变化,其次是物质、财务、人力和社会资产。大多数具有高适应能力的家庭在空间上聚集在 Rahim Yar Khan,提供更多就业机会和多种收入来源的地区。拉詹普尔的低适应能力集群很多,受访者的所有主要成分都为负。Bahawalpur 区缺乏任何重要的适应能力集群。空间分析可以作为决策者确定需要政府干预以提高适应能力的领域的有用工具。这里使用的方法可以有效地应用于世界其他地区的旱地地区,并且可以帮助指导更有针对性的努力来建设适应能力。空间分析可以作为决策者确定需要政府干预以提高适应能力的领域的有用工具。这里使用的方法可以有效地应用于世界其他地区的旱地地区,并且可以帮助指导更有针对性的努力来建设适应能力。空间分析可以作为决策者确定需要政府干预以提高适应能力的领域的有用工具。这里使用的方法可以有效地应用于世界其他地区的旱地地区,并且可以帮助指导更有针对性的努力来建设适应能力。

更新日期:2021-08-10
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