Identification of Drivers and Scenarios Affecting the Integrated Management of Davarzan Watershed Villages

Document Type : Thesis Article

Authors

1 PhD Student, Department of Geography, Faculty of Literature and Human Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.

2 Professor, Department of Geography, Faculty of Literature and Human Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.

3 Assistant Professor, Department of Geography, Faculty of Literature and Human Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.

4 Associate Professor, Department of Geography, Faculty of Literature and Human Sciences, Ferdowsi University of Mashhad, Mashhad, Iran.

Abstract

Integrated watershed management can be considered a prerequisite for sustainable management and improving the lifestyle and livelihood of local people. The present study was applied in terms of purpose and descriptive-analytical and survey in terms of method. To do so, a questionnaire was used, which was completed by experts and executives (including faculty members and natural re-sources staff, active NGOs and local communities). Its members were selected by the snowball sampling method. The MICMAC model was used to identify challenging drivers. Based on the re-sults, indicators such as low average income and capital of users, Lack of low-interest lending facil-ities of banks, credit institutions and the Fund for Supporting the Development of Diversity of Liv-ing and the weak reliance of the government on the private sector in delegating powers to this sector for reasons such as bankruptcy or negligence of investors, etc. are the most important drivers in-volved in the field of integrated Davarzan watershed villages management. Wizard scenario soft-ware was used to explain the possible scenarios. The results of this section showed that out of a total of 24 existing situations, the tenth scenario was considered the most desirable scenario.

Keywords

References

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Journal of Rural Research
Volume 13, Issue 2
September 2022
Pages 314-331

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History

  • Receive Date: 30 December 2021
  • Revise Date: 28 April 2022
  • Accept Date: 08 May 2022

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