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Measuring the Multi-Level Resilience Based on Social Heterogeneity Faced with Drought in Rangeland Users
International Journal of Environmental Research ( IF 3.2 ) Pub Date : 2024-03-01 , DOI: 10.1007/s41742-024-00573-x
Mehdi Ghorbani , Reza Bagheri Fahraji , Amir Alam Baigi , Shahram Khaliqi Cigaroodi , Maryam Yazdanparast

One of the basic strategies to reduce vulnerability in social systems facing fluctuations or climate change is to increase the resilience of communities to the disturbance and turmoil created in ecological systems. The aim of this study was to investigate multi-level resilience based on social heterogeneity under climate fluctuations in Nodooshan watershed of Yazd province. The survey method and the questionnaire were used to determine the resilience of local beneficiaries. The sample size was calculated using the Cochran sampling formula, and 102 people were selected by random sampling method from 6 villages in Nodooshan watershed. In order to determine the degree of resilience of users in Nodooshan watershed, social network analysis (SNA) was used by the full network method in three ties of social capital (trust, collaboration, and information exchange). The result of the highest effect size in the collaboration network of Nodoushan watershed beneficiaries is 57.75, in the trust network is 45.41 and in the information exchange network is 44.17. Findings show that social capital has led to more resilience of beneficiaries in drought conditions, and the rate of resilience in villages that are more exposed to drought is higher than in villages less exposed to drought. However, the results, in general, show the unfavorable situation of beneficiaries in terms of social capital. In addition, the effect of social network metrics on resilience in the face of climate change in different layers of social heterogeneity, as well as the structure of the exploitation system, is distinct. As a result, developing trust-building programs that address priority issues, resolving people's conflicts through increased and established inter-sectoral communication, and implementing multilevel governance are strongly advised. Therefore, by exploiting these results, planners and policymakers can help and plan to improve the resilience of rural communities faced with drought, self-reliance, and rural development.



中文翻译:

基于社会异质性衡量牧场用户面临干旱的多层次恢复力

减少社会系统面临波动或气候变化脆弱性的基本策略之一是提高社区对生态系统造成的干扰和动乱的抵御能力。本研究的目的是调查亚兹德省 Nodooshan 流域气候波动下基于社会异质性的多层次复原力。采用调查方法和问卷来确定当地受益人的复原力。样本量采用Cochran抽样公式计算,采用随机抽样的方法从Nodooshan流域6个村庄抽取102人。为了确定Nodooshan流域用户的复原力程度,采用全网络方法对社会资本的三个纽带(信任、协作和信息交换)进行社会网络分析(SNA)。诺豆山流域受益人协作网络中最高效应大小为57.75,信任网络中为45.41,信息交换网络中为44.17。研究结果表明,社会资本使受益人在干旱条件下的恢复能力更强,而遭受干旱影响较大的村庄的恢复率高于遭受干旱影响较小的村庄。但总体来看,受益人的社会资本状况较差。此外,社会网络指标对社会异质性不同层面以及剥削体系结构中面对气候变化的复原力的影响是不同的。因此,强烈建议制定解决优先问题的信任建设计划,通过加强和建立部门间沟通来解决人民冲突,以及实施多层次治理。因此,通过利用这些结果,规划者和政策制定者可以帮助和规划提高农村社区面临干旱、自力更生和农村发展的抵御能力。

更新日期:2024-03-02
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