Analysis of vegetation changes related to desert landforms in the northern Isfahan province

Document Type : Research Paper

Authors

1 Faculty member, Department of Geography, Payame Noor University, Tehran, Iran

2 Associate professor, Department of Geography, Payame Noor University, Tehran, Iran

3 Associate professor, Physical Geography Department, Kharazmi University, Tehran, Iran

4 Assistant Professor, Department of Natural Resources Research, Isfahan Agricultural and Natural Resources Research and Education Center (AREEO), Tehran, Iran

10.29252/aridbiom.2023.20350.1944

Abstract

This research aims to analyze vegetation changes in desert landforms in the northern region of Isfahan province using Landsat images 5 and 8, specifically TM5 and OLI-TIRS sensors, from 1987 to 2020. For this purpose, 200 images were extracted during the 27 warm months, from June 1 to the end of August. After performing the necessary pre-processing on the images that cover the study region, the landforms were classified using the Topographic Position Index (TPI). Subsequently, the NDVI index was analyzed. The results showed that the pattern of vegetation changes from mountainous areas to lowlands is downward. The analysis of the vegetation index on different landforms, as extracted from the TPI, revealed that the unit of mountains and heights exhibited the highest values, while flat plains such as playas, mud, and clay pans had the lowest values. In general, NDVI values have a decreasing trend from mountain landforms to playas, mud, and clay pans. A significant decrease in NDVI is evident at an altitude of 1400 m (middle pediments). NDVI values increase in mountainous landforms (elevations above 1400 m). On slopes greater than 65° (high stony and rocky lands), the decreasing trend of NDVI has intensified. The NDVI index illustrates four phases of change. The fourth phase, which spanned from 2014 to 2020, exhibited a decreasing trend. During this period, the area covered by this index decreased from 34,380 km² to 34,200 km². The spatial changes of the NDVI index in 2030 indicate that the elevations from Karkas to Marshenan and the areas between Kashan and Ardestan will experience critical conditions. This issue requires the special attention of relevant officials and executives in this field.

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Main Subjects

References

[1]. Abbaszadeh Tehrani, N., & Saberi, N., (2013). Evaluation of the pattern of seasonal changes in land cover by remote sensing data analysis. The 3rd environmental planning and management, Tehran, Tehran University. [in Farsi]
[2]. Ardö, J., Tagesson, T., Jamali, S., Khatir, A., (2017). MODIS EVI-based net primary production in the Sahel 2000–2014, International Journal of Applied Earth Observation and Geoinformation, 65, 35-45. doi: 10.1016/j.jag.2017.10.002
[3]. Areffian, A., Kiani Sadr, M., Eslamian, S., & Khoshfetrat, A. (2021). Monitoring the effects of drought on vegetation in mountainous areas using MODIS satellite images (Case study: Lorestan province). Environmental Sciences Studies, 5(4), 3183-3189. [in Farsi]
[4]. Darvishzadeh, A., & Mohamadi, M. (2010). Geology of Iran, Tehran: Payame Noor University Press. [in Farsi]
[5]. Darvand, S., Khosravi, H., Eskandari Damaneh, H., Eskandari Damaneh, H., (2021). Investigating the trend of NDVI changes derived from MODIS sensor imagery (Case study: Isfahan Province). Degradation and Rehabilitation of Natural Land, 1(2), 69-79.
[6]. Darwish, T., & Faour, G. (2008). Rangeland degradation in two watersheds of Lebanon. Lebanese Science Journal, 9, 71-80.
[7]. Department of Applied Meteorological Research (2019). Disclosure of climatic changes in Isfahan province, Meteorological Department of Isfahan Province. [in Farsi]
[8]. Depew, J. J. (2005). Habitat selection and movement patterns of cattle and white-tailed deer in a temperate savanna. Master's thesis, University of Texas A&M.
[9]. Falahatkar, S., Saberfar, R., & Kia, S. H. (2018). Analysis of vegetation indices changes in sensors of landsat satellite (Case study: Persian Juniper fields of East Golestan National Park and Ghorkhod protected area). Natural Ecosystems of Iran, 9(1), 71-90. [in Farsi]
[10]. Fang, X., Zhu, Q., Ren, L., Chen, H., Wang, K., & Peng, C. (2018). Large-scale detection of vegetation dynamics and their potential drivers using MODIS images and BFAST: A case study in Quebec, Canada. Remote Sensing of Environment, 206, 391-402.
 [11]. Firouzi, F., Tavosi, T., & Mahmoudi, P., (2019). Investigating the sensitivity of NDVI and EVI vegetation indices to dry and wet years in arid and semi-arid regions (Case study: Sistan plain, Iran). Geographical Data (SEPEHR), 28(110), 163-179. doi: 10.22131/sepehr.2019.36621 [in Farsi]
[12]. Ganjali, J., Halabian, A. H., Karam, A., & Hajehforoshnia, S. (2022). Investigation of soil salinity changes related to landforms of desert areas in the northern Isfahan province. Quantitative Geomorphological Research, 11(3), 220-253. [in Farsi]
[13]. Ghanbari Motlagh, M., & Amraei, B. (2020). Detecting the spatiotemporal relationship of vegetation changes with climatic elements in Mazandaran Province. Geography and Environmental Sustainability, 10(2), 37-55. doi: 10.22126/ges.2020.5031.2193 [in Farsi]
[14]. Guisan, A., Weiss, S. B., & Weiss, A. D., (1999). GLM versus CCA spatial modeling of plant species distribution. Plant Ecology, 143, 107-122.
[15]. Hamidian, A. R., Shekari Badi, A., & Amir Ahmadi, A. (2016). Evaluation of the role of form and geomorphological processes of Karkas heights in the distribution of human settlements. Arid Regions Geographic Studies, 26(7), 23-38. [in Farsi]
[16]. Horn, B. K. (1981). Hill shading and the reflectance map. Proceedings of the IEEE, 69(1), 14-47.
[17]. Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X. & Ferreira, L. G. (2002(. Remote sensing for natural resources management and environmental monitoring: manual of remote sensing, 3 Ed., Univercity of Arizona.
[18]. Jenness, J. (2006). Topographic Position Index (tpi_jen.avx) Extension for ArcView 3.x, v. 1.3a. Jenness Enterprises.
[19]. Kavosi, M., & Frarajzadeh, M., (2015). The evaluation of vegetation variations trend using linear regression methods and change vector analysis. Geography and Environmental Planning, 25(4), 69-82. [in Farsi]
[20]. Lyon, J. G., Yuan, D., Lunetta, R. S., & Elvidge, C. D. (1998(. A change detection experiment using vegetation indices. Photogrammetric Engineering & Remote Sensing, 64, 143-150.
[21]. Magee T. K., Ringold, P. L., & Bollman M. A. (2008). Alien species importance in native vegetation along wadeable streams, John Day River Basin, Oregon, USA. Plant Ecology, 195(2), 287-307. doi: 10.1007/s11258-007-9330-9
[22]. Mirahsani, M. S., Salman Mahiny, A., Soffianian, A., Mohamadi, J., Modarres, R., Modares, R., & Pourmanafi, S. (2019). Evaluation of Trend in Vegetation Variations using Time Series Images and Mann-Kendall test over Gavkhuni Basin. Journal of Environmental Studies, 45(1), 99-114. doi: 10.22059/jes.2019.260567.1007699
[23]. Mohammadyari, F., Pourkhabaz, H. R., Tavakoli, M., & Aghdar, H., (2015). Mapping vegetation and monitoring its changes using remote sensing and GIS techniques (Case study: Behbahancity). Geographical Data (SEPEHR), 23(92), 23-34. doi: 10.22131/sepehr.2015.13504 [in Farsi]
[24]. Nateghi, S., Nohegar, A., Ehsani, A. H., & Bazrafshan, O., (2018). Evaluating the vegetation changes upon vegetation index by using remote sensing. Iranian Journal of Range and Desert Research, 24(4), 778-790. doi: 10.22092/ijrdr.2017.114889 [in Farsi]
[25]. Nikpour, N., Negaresh, H., Fotoohi, S., Hosseini, S. Z., & Bahrami, S. (2019). Monitoring the trend of vegetation index (NDVI) changes, one of the most important indicators of land degradation (in Ilam province). Spatial Analysis Environmental Hazards, 5(4), 21-48.
[26]. Pettorelli, N., Vik, J. O, Mysterud, A, Gaillard, J. M, Tucker, C. J., & Stenseth, N. C. (2005). Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in Ecology and Evolution, 20(9), 503-510. doi: 10.1016/j.tree.2005.05.011
[27]. Pordel, F., Ebrahimi, A., & Azizi, Z. (2017). Evaluating of the most suitable vegetation indices of estimating of canopy cover and above-ground phytomass in arid rangelands during different growth periods. Journal of Arid Biome, 7(2), 57-71. doi: 10.29252/aridbiom.7.2.57 [in Farsi]
[28]. Rawat, J. S., Biswas, V., & Kumar, M. (2013). Changes in land use/cover using geospatial techniques: a case study of Ramnagar town area, district Nainital, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Science, 16(1), 111-117. doi: 10.1016/j.ejrs.2013.04.002
[29]. Reu, J. D., Bourgeois, J., Bats, M., Zwertvaegher, A., Gelorini, V., Smedt, P.D., Chu, W., Antrop, M., Maeyer, P.D., Finke, P., Meirvenne, M.V., Verniers, J., & Crombé, P. (2013). Application of the topographic position index to heterogeneous landscapes. Geomorphology, 186, 39-49. doi: 10.1016/j.geomorph.2012.12.015
[30]. Takaku, J., Tadono, T., & Tsutsui, K., (2014). Generation of high-resolution global DSM from ALOS PRISM, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Technical Commission IV Symposium. China.
[31]. Vanderpost, C., Ringrose, S., Matheson, W., & Arntzen, J. (2011). Satellite based long-term assessment of rangeland condition in semi-arid areas: An example from Botswana. Journal of Arid Environments, 75(4), 383-389.  doi: 10.1016/j.jaridenv.2010.11.002
[32]. Vaogen, T. G. (2006). Remote sensing of complex land use change trajectoriesa: case study from the hilghlands of Madagascar, agriculture, Ecosystems and Environment, 115(1-4), 219-228. doi: 10.1016/j.agee.2006.01.007
[33]. Verbesselt. J., Hyndman. R., Newnham. R., & Culvenor. D. (2010). Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment, 114(1), 106–115. doi: 10.1016/j.rse.2009.08.014
[34]. Weiss, A. (2001). Topographic Position and landforms Analysis. Poster presentation, ESRI user Conference, San Diego, C.A.
[35]. Wilson, J. P., & Gallant, J. C. (2000). Terrain Analysis: Principles and Applications, John Wiley.
[36]. Yorks, T. P., West, N. E., & Capels, K. M. (1992). Vegetation differences in desert shrublands of western Utah’s pine valley between 1933 and 1989. Journal of Range Management, 45, 569-578.
[37]. Zhang, X., Friedl, M. A., Schaaf, C. B., Strahler, A. H., Hodges, J. C. F., Gao, F., Reed, B. C., & Huete, A. (2003(. Monitoring vegetation phenology using MODIS. Remote Sensing of Environment, 84(3), 471-475. doi: 10.1016/S0034-4257(02)00135-9
Journal of Arid Biome
Volume 13, Issue 1
April 2023
Pages 65-82

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