Climate and Ecosystem of Arid and Semi-arid Regions

Climate and Ecosystem of Arid and Semi-arid Regions

Investigating the Relationship Between Macroeconomic Indicators of Forest Dwellers and Changes in Forest Extent (Case Study of Kuhdasht, Iran)

Document Type : Original Article

Abstract
Background and Objectives: The Zagros forests, as one of the most important forest ecosystems in Iran, have faced serious challenges due to the deep dependence of rural populations on natural resources. Degradation of these forests not only leads to a decline in the quality and quantity of natural resources but also has significant negative impacts on the livelihoods and lives of local communities. Demographic changes have resulted in alterations in economic activities and are considered a starting point for changes in land use. This study aims to investigate the relationship between economic variables (per capita expenditure, poverty line, migration, and population) and changes in forest area in the Olad Qabad district of Kuhdasht County, Lorestan Province.
Materials and Methods: This study was conducted to investigate the relationship between economic variables (per capita expenditure, poverty line, migration, and population) and changes in the forest area in the Olad Qabad district of Kuhdasht County, Lorestan Province. To this end, the poverty line was initially calculated based on 50% of the average per capita expenditure, and data on population and migration were collected from census data and statistical yearbooks from 1993 to 2013. Changes in forest area, covering 13,250 hectares, were analyzed for three time periods (1993, 2003, and 2013) and land uses (agriculture, forest, pasture, bare land, and built-up areas) using Landsat satellite imagery from the TM, ETM+, and OLI sensors. The forest area maps for these time periods were generated using supervised classification with the maximum likelihood algorithm, and the Landuse Multiplication Matrix (LMM) model was employed to identify the conversion of various land uses to one another.
Results: The results indicated that the extent of forest degradation amounted to 528 hectares, and poverty increased over the 20-year period. The rate of forest degradation in the first period was 22.8 hectares per year, while the annual change in the second period was 30 hectares per year, indicating more severe degradation during the period of 2003-2013. In the first period, the study area experienced net in-migration, and the increase in population led to over-exploitation of forests and the conversion of forest land to bare soil and agricultural land. Consequently, the effects of degradation became more pronounced in the second period, with the degradation of natural resources leading to material poverty among local populations and ultimately migration from the region during 2003-2013. Correlation analysis among the variables revealed that poverty and population were more influential on forest degradation than per capita expenditure and migration.
Conclusion: Presentation of results from implemented programs for the conservation and utilization of natural resources, as well as documentation of changes in vegetation cover, is currently considered an objective and effective tool for natural resources planners both now and in the future. In this study, for the first time in one of the forested areas of western Iran, the economic-social indicators and changes in forest cover were examined. Utilizing this information allows for precise assessment of the impacts of development and land use changes, which can contribute to optimal decision-making and effective planning to prevent adverse environmental effects.
Subjects

1. Aide, T. M., & Grau, H. R. (2004). Globalization, migration, and Latin American ecosystems. Science, 305(5692), 1915-1916.
2. Alavipanah, S. K., & Masoudi, M. (2001). Land use mapping using digital data of Landsat TM satellite and geographic information systems (Case study: Mok region of Fars province). Agricultural Sciences and Natural Resources, 8th year, (1), 65-79.‏ [In Persian]
3. Amini, M., Shatai, S., Ghazanfari, H. (2008). Investigating the possibility of modeling the likelihood of forest degradation in western Iran using GIS and RS (Case study: Aramarde forests, Baneh). Iranian Journal of Forest and Poplar Research, 16(3), 431-443. [In Persian]
4.  Ansari, A. (2019). Modern Iran since 1797: Reform and revolution. Routledge.‏ [In Persian]
5.   Arekhi, S., Jafarzadeh, A., & Yousefi, S. (2012). Simulation of forest degradation using logistic regression, GIS, and remote sensing (Case study: Aramarde forests, Baneh). Geography and Development, 29, 31-42. [In Persian]
6. Banerjee, A., & Madhurima, C. (2013). Forest degradation and livelihood of local communities in India: A human rights approach. Journal of horticulture and forestry, 5(8), 122-129.
7. Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., & Lambin, E. (2004). Review ArticleDigital change detection methods in ecosystem monitoring: a review. International journal of remote sensing, 25(9), 1565-1596.‏
8. Fattahi, M., Ansari, N., Abbasi, H. M., & Khanhasani, M. (2000). Management of Zagros forests. Institute of Forests and Range lands Researches, Iran.‏ [In Persian]
9. Governorate of Kuhdasht County (2011). http://www.selseleh-gov.ir/page-far10/fa/4/form/pId1070. Accessed: 5/9/2012.
10. Hagenaars, A. J. (2017). The definition and measurement of poverty. In Economic inequality and poverty (pp. 134-156). Routledge.‏
11.  Honkkila, J., & Kavonius, I. K. (2013). Micro and macro analysis on household income, wealth and saving in the euro area (No. 1619). ECB Working Paper.‏
12. Karamidehkordi, E. (2010). A country report: Challenges facing Iranian agriculture and natural resource management in the twenty-first century. Human ecology, 38(2), 295-303.‏ [In Persian]
13. Marey Pérez, M. F., Rodríguez Vicente, V., & Crecente Maseda, R. (2006). Using GIS to measure changes in the temporal and spatial dynamics of forestland: experiences from north-west Spain. Forestry, 79(4), 409-423.
14. Meyer, W. B., & Turner, B. L. (1992). Human population growth and global land-use/cover change. Annual review of ecology and systematics, 39-61.‏
15. Murty, M. N. (2009). Environment, sustainable development and well-being: valuation, taxes and incentives.‏‏
16. Namiranian, M., Khalyani, A. H., Amiri, G. Z., & Ghazanfari, H. (2007). Study of different restoration and regeneration techniques in northern Zagros (case study: Armardeh oak forest, Baneh). Iranian Journal of Forest and Poplar Research, 15(4), 386-397. [In Persian]                
17. Paul, S., & Chakrabarti, S. (2011). Socio-economic issues in forest management in India. Forest Policy and Economics, 13(1), 55-60.‏
18. Ramezani, F., Shokravi, S., & Bagheri, A. (2024). Investigating the Impact of Natural Resource Rent and Political Stability on the Environmental Degradation Index in Selected Developing Countries Using a Combined Data Approach. Agricultural Marketing and Commercialization, 8(1), 93-108. [In Persian]
19. Ravallion, M., & Chen, S. (2019). Global poverty measurement when relative income matters. Journal of public economics, 177, 104046.‏
20. Sadeghian, N. (2014). The size of government and economic growth in Iran 1971-2008 (Doctoral dissertation, Kingston University).‏ ‏[In Persian]
21. Sossani, J., Sepahvand, A., Naqvi, H., & Pilavar, B. (2008). Determining the rate of change in forest cover in Lorestan province from 1994 to 2003 using 1:25000 digital maps and ETM+ satellite images. Geomatic Conference.14, 36-51. [In Persian]
22. Talebi, K. S., Sajedi, T., & Pourhashemi, M. (2014). Forests of Iran. A treasure from the past, a hope for the future, 10.‏ ‏[In Persian]
23. Zhang, Y., Tachibana, S., & Nagata, S. (2006). Impact of socio-economic factors on the changes in forest areas in China. Forest Policy and Economics, 9(1), 63-76.
Volume 2, Issue 1 - Serial Number 2
September 2025
Pages 36-49

  • Receive Date 14 July 2024
  • Revise Date 06 December 2024
  • Accept Date 21 September 2024