Nivar

Nivar

Assessment of Vegetation Cover Changes and its Relationship with Temperature and Precipitation (Case Study: Urmia Lake Basin)

Document Type : Original Article

Authors
1 Associate Professor of Climatology and Faculty Member, Department of Geography, Yazd University, Yazd, Iran
2 PhD student in Climatology, Yazd University, Yazd, Iran
Abstract
Vegetation cover is an essential factor in the structure and function of terrestrial ecosystems and one of the fundamental links in the vital water-soil-plant-atmosphere chain. This research was conducted to investigate vegetation cover changes and the factors affecting it in the Urmia Lake Basin. In this regard, precipitation images from the CHRIPS database and LST and NDVI images from the MODIS sensor were used during a 23-year statistical period (2001-2023). The results of the seasonal rainfall rate show that rainfall in this basin has a decreasing trend from the periphery of the basin towards the center of the basin. The highest rainfall in this basin is related to the winter season in 2018 and 2019, and the lowest rainfall is related to the summer season in 2003. The land surface temperature has increased due to changes in the vegetation cover of the Urmia Lake Basin. It was also found that most seasons during this period had a temperature between 20 and 40 degrees Celsius, which covered an area of about 25 to 35 thousand square kilometers. The study of vegetation cover in the Urmia Lake Basin showed that the largest area of vegetation cover occurs in the spring season, which has a decreasing trend (R2 = -0.151), and the smallest area of vegetation cover occurs in the winter season with a decreasing trend (R2 = -0.44). The results of the correlation between rainfall and vegetation cover showed that there is a positive and significant correlation in the winter and autumn seasons, and a positive and non-significant correlation in the spring and summer seasons at the 0.05 confidence level. The correlation between temperature and vegetation cover showed that there is a positive correlation and a strong and significant relationship in the winter season at the 0.01 confidence level.
Keywords
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1.      Khorani, A., Alimoradi, S., & Esmailpour, Y. (2017). Vegetation cover dynamics in relation to temperature and precipitation in rangelands of the Karun Basin, Khuzestan Province. Journal of Applied Research in Geographical Sciences, 17(44), 155–176. (In Persian)
2.      Khorshiddoost, A. M., Panahi, A., Khorramabadi, F., & Imanipour, H. (2022). Effects of climatic parameters on vegetation cover distribution in central Iran. Spatial Analysis of Environmental Hazards Journal, 9(2), 73–86. (In Persian)
3.      Rousta, I., Mahmoud, A. R., & Mazidi, A. (2022). Analysis of vegetation cover change trend stability using remote sensing (Case study: Northern Afghanistan watershed). Geography and Environmental Sustainability, 12(2), 17–35. (In Persian)
4.      Zarghani, H., Mofidi, A., & Shafiee Nia, M. (2018). Climate change analysis and its consequences: Case study of sea level rise. Proceedings of the 2nd National Conference on Climatology of Iran. (In Persian)
5.      Shamsipour, A. A., Azizi, Q., Karimi Ahmadabad, M., & Moghbel, M. (2013). Behavioral analysis of land surface temperature patterns in urban environments: Case study of Tehran. Geography and Environmental Sustainability, 6, 67–86. (In Persian)
6.      Taheri Ghasemabadi, J., Karami, M., & Asadollahi, A. (2018). Quantitative and qualitative vegetation cover changes using satellite imagery and its relationship with climatic parameters: Case study of Bojnourd. Journal of Modern Research in Geography, Architecture and Urban Planning, 13, 1–12. (In Persian)
7.      Kohneposhi, S. H., Shayan, H., & Baradaran, S. (2013). Environmental degradation of Lake Urmia: Status, causes and consequences. Proceedings of the 2nd International Conference on Environmental Hazards, Tehran. (In Persian)
8.      Karami, M., Taheri Ghasemabadi, J., & Asadollahi, A. (2018). Quantitative and qualitative vegetation cover changes using satellite imagery and climatic parameters: Case study of Bojnourd. Noor Journal, 2(13). (In Persian)
9.      Specialized Economic and Social Committee of Lake Urmia Restoration Program. (n.d.). Economic and social status assessment of the Lake Urmia watershed. (In Persian)
10.  Noorian, A. M. (2002). National report on natural disaster risk management. Iran Meteorological Organization. (In Persian)
11.  Hadizadeh, H., & Al-Hosseini, S. A. (2017). Monitoring vegetation cover changes using Landsat satellite imagery: Case study of Jiroft County. Proceedings of the 5th National Conference on Geomorphology and Environmental Challenges. (In Persian)
12.  Hadian, F., Hosseini, Z., & Hosseini, M. (2014). Monitoring vegetation cover changes using rainfall data and satellite imagery in northwest Iran. Iranian Journal of Rangeland and Desert Research, 21(4). (In Persian)
13.  Barbosa, H. A., Lakshmi Kumar, T. V., & Silva, L. R. M. (2015). Recent trends in vegetation dynamics in the South America and their relationship to rainfall. Natural Hazards, 77, 883–899.
14. Egidijus Rimkus, Edvinas Stonevicius, Justinas Kilpys, Viktorija Maciulyte, and Donatas Valiukas, Drought identification in the eastern Baltic region using NDVI, Ear th Syst, 2017, Dynam., 8, 627–637, 2017.
15. illespie TW, Ostermann-kelm S, Dong C, Willis KS, Okin GS, MacDonald GM.2018.Monitoring changes of NDVI in protected areas of southern California. Ecological Indicators,88:485-494
16. Liu, S., Huang, Sh., Xie, y., Wang, h., Huang, q., Leng, G., Li, P., Wang, L., 2019. Spatial temporal changes in vegetation    cover in a typical semi-humid and semi-arid region in China: Changing patterns, causes and implications. Ecological Indicators, Volume 98, PP. 462-475
17. Liu S, Liu Y, Wang C, Dang X (2022) The Distribution Character‑ istics and Human Health Risks of High-Fluorine Groundwater in Coastal Plain: A Case Study in Southern Laizhou Bay, China Frontiers in Environmental Science:568 Liu W, Kogan F (1996) Monitoring regional drought using the veget. 
18. Krakauer, Y., Lakhankar, T., Anadón, D. 2017. Mapping and Attributing Normalized Difference Vegetation Index Trends for Nepal, remote sensing 9: 1-15
19. Magee, T.K., P.L. Ringold and M.A. Bellmen. 2008. Alien species importance in native vegetation along wadeable streams, John Day River Basin, Oregon, USA. Plant Ecology, 195: 287-307.              
20. Maselli, F., & M. Chiesi, 2006, Integration of Multi-source NDVI Data for the Estimation of Mediterranean Forest Productivity, International Journal of Remote Sensing, 27, pp. 55-72.
21. Mallick, J., Kant, Y., Bharath, B.‚ (2008). Estimation of land surface temperature over Delhi using Landsat-7 ETM+. J. Ind. Geophys‚ Union, Vol3, No 12‚ Pp 131-140. 
22. Maidment R.I., Allan R.P. and Black E. 2015. Recent observed and simulated   changes in precipitation over Africa. Geophysical Research Letters, 42: 8155-8164 .       
23. Nanzad, L., Zhang, J., Tuvdendorj, B., Nabil, M., Zhang, S. and Bai, Y., 2019. NDVI anomaly for drought monitoring and its correlation with climate factors over Mongolia from 2000 to 2016. J. Arid Environ.
24. Pettorelli, N., O. Vik, A. Mysterud, J.M. Gaillard, C.J. Tucker and N.C. Stenseth. 2005. Using the satellite derived NDVI to assess ecological responses to environmental change. Journal Trends in Ecology and Evolution, 20: 503-510.   
25. Reutter, H., F.S. Olesen and H. Fischer. 1994. Distribution of the brightness temperature of land surfaces determined from AVHRR data. Remote Sensing, 15: 95- 104.
26. Rondeaux, G., Steven, M., and Baret, F., 2013. "Optimization of soil-adjusted vegetation indices", Remote Sens. Environ. 2: 98-107.
27. Shi, S., Yu, J., Wang, F., Wang, P., Zhang, Y. and Jin, K., 2021. Quantitative contributions of climate change and human activities to vegetation changes over multiple time scales on the Loess Plateau. Science of the Total Environment, 755, 142419.
28. Tian H, Wang Y, Chen T, Zhang L, Qin Y (2021) Early-Season Map‑ ping of Winter Crops Using Sentinel-2 Optical Imagery. Remote Sensing 13:3822.
29. Tucker, C. J., 1996, History of the Use of AVHRR Data for Land Applications, In: G. D Souza, A. S. Selward and J. P. Malingreau, Editors, Advances in the use of NOAA AVHRR data for land applications, Kluwer Academic Publishers, Dordrecht, pp. 1-19.
30. WenZ, Wu S, Chen J, Lu M.2017.NDVI indicated long-term interannual changes in vegetation ac trinities and their responses to climatic and anthropogenic factors in the three Gorges Reservoir Region , China. Science of the Total Environment ,574:947-959.
31. Verbesselt. J., Hyndman. R., Newnham. R., Culvenor. D., 2010. "Detecting trend and seasonal changes in satellite image time series". Remote Sensing of Environment 114 , 106115.
 
Volume 49, 130-131 - Serial Number 130
October 2025
Pages 177-194

  • Receive Date 04 February 2025
  • Revise Date 22 June 2025
  • Accept Date 12 July 2025
  • Publish Date 23 September 2025