The pattern of livelihood adaptation of rural communities in Iran in the face of climate change

Document Type : Research Article

Authors

1 Ph.D.student in geography and rural planning, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran

2 Associate Professor of Geography and Rural Planning, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran

Abstract

Today, the livelihood of the villagers is strongly tied to climate change; So that with the increase of these changes, their livelihood stability is facing a crisis. This issue will show how these societies adapt to these changes. Therefore, the aim of the current research is to identify the pattern of livelihood adaptation of rural communities in Iran in the face of climate change. The study method is among applied studies, which is done in a quantitative and qualitative framework in terms of descriptive-explanatory purpose. The statistical sample of this research is purposeful, and to collect secondary data, the documentary method and primary data are used from the field method (Q questionnaire). Questionnaires were sent electronically to 20 experts (academic community). Q factor analysis method was used to analyze the collected data. The results of the research indicate that the bottom-up model will be a central strategy in the livelihood adaptation of rural communities against climate change. On the other hand, two compatibility factors "environmental and social" were recognized as the most important livelihood strategies for rural communities in Iran. that this pattern of compatibility can be implemented in the form of executive programs such as: teaching compatible behavioral patterns; promoting social support; To realize ways of saving water consumption and sharing local knowledge of rural communities in the face of climate change. Also, for the sustainability of villagers' livelihoods in the face of climate events, domestic and foreign institutions can achieve adaptation policies by taking advantage of local knowledge capacities.

Keywords

Main Subjects

©2025 The author(s). This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0)

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  • Receive Date: 09 July 2023
  • Revise Date: 16 August 2023
  • Accept Date: 10 September 2023

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