The Relationship Between Physiognomic Characteristics of Tamarix aphylla and Seidlitzia rosmarinus with Morphometric Parameters of Khour Va Biabanak County Nebkhas Using Regression Methods and Artificial Neural Network

Document Type : Research Paper

Authors

1 ardakan university

2 Assistant Professor, Department of Nature Engineering, Faculty of Agriculture &Natural Resources, Ardakan University.IRAN

3 Assistant Professor, Department of Nature Engineering, Faculty of Agriculture & Natural Resources, Ardakan University, P.O. Box 184, Ardakan, Iran.

Abstract

Nebkha and the plant that creates it together form a system. nebkha formation parameters have a significant effect on the transfer rate of aeolian deposits. Adequate information on nebkha will help plan more accurately and efficiently and better manage wind erosion-prone lands to identify appropriate wind erosion programs and deal with this phenomenon. This study aimed to compare regression methods and artificial neural networks to investigate the relationship between the quantitative characteristics of Tamarix and Seidlitzia Rosmarinus plant species and quantitative parameters of nebkha. The regression methods used in this study include PCR, PLS, and OLS. In this study, the plant characteristics used are plant height, length, width, and type, and morphometric characteristics include nebkha length, height, slope, and width. The number of sampling points was 80 selected randomly from nebkha in Khour va Biabanak County. 70% of the data was used for training the network and 30% for validation. According to the results of this study, the highest R2 between nebkha length and Seidlitzia Rosmarinus plant characteristics is related to the OLS method with 0.8, followed by nebkha area and width. R2 levels in the neural network were lower, i.e., 0.76. In the case of the Tamarix species, the highest R2, i.e., 0.797, is related to the characteristics of the plant with nebkha length, followed by nebkha area and width. This value is 0.78 in the neural network method. Moreover, the evaluation results of different predictive models showed that the OLS model is superior to other models.

Keywords


Reference 
 
Afrasiabi S, Tazeh M, Taghizadeh R, Ghaneei MJ, Kalantari S. 2019. Performance of two measurement methods of pin meter and laser disto-meter in the measurement of microtopography Created by desert pavement. Desert Ecosystem Engineering, 8; 1-14. doi.org/10.22052/deej.2018.7.22.45. Azad MR, Kalantari S, Shirmardi M, Tazeh M. 2021. Investigation of Land use and Physico-chemical properties of soil on wind erosion threshold velocities using data mining, Desert Ecosystem Engineering, 9; 1-14. doi.org/10.22052/deej.2020.9.29.1. Bornkamm R, Darius F, Prasse R. 1999. On the life cycle of Stipagrostis scopariahillocks. J. Arid Environ, 42; 177–186. doi.org/10.1006/jare.1999.0524. Brown G, Porembski S. 1997. The maintenance of species diversity by miniaturedunes in a sanddepleted Haloxylon salicornicum community in Kuwait. J. AridEnviron, 37; 461–473. doi.org/10.1006/jare.1997.0286. Danin A. 1996. Plants of Desert Dunes, Springer, 177; 136. doi.org/10.1007/978-3-642-60975-6.  Fathizad H, Tazeh M, Kalantari S. 2016.  Assessment of pixel-based classification (Artmap Fuzzy Neural Networks and Decision Tree) and object-oriented methods for land use mapping (Case Study: Meymeh, Ilam Province), Arid Biom Scientific  and Research,  5;  69-81. Fathizad H, Tazeh M, Kalantari S, Shojaei S. 2017. The investigation of spatiotemporal variations of land surface temperature based on land use changes using NDVI in southwest of Iran. Journal of African Earth Sciences,134; 249-256. doi.org/10.1016/j.jafrearsci.2017.06.007. Hesp P, McLachlan A. 2000. Morphology, dynamics, ecology and fauna of Arc-totheca populifolia and Gazania rigens nabkha dunes. J. Arid Environ, 44; 155–172. doi.org/10.1006/jare.1999.0590. Hesp P. 2002. Fore dunes and blowouts: Initiation, geomorphology and dynamics. Geomorphology, 48; 245–268. doi.org/10.1016/S0169-555X(02)00184-8. Hesp PA, Walker IJ, Chapman C, Davidson-Arnott R, Bauer BO. 2013. Aeolian dynamics over a coastal foredune, Prince Edward Island, Canada. Earth Surf. Process. Landforms. 38; 1566–1575. doi.org/10.1002/esp.3444.  Hugenholtz CH, Wolfe SA. 2005. Biogeomorphic Model of Dunefield Activation and Stabilization on the Northern Great Plains, Geomorphology,70; 53–70. doi.org/10.1016/j.geomorph.2005.03.011. 
249  Akhond et al. 
 
 
 
Kargaran F, Kalantari S, Ghaneei MJ, Tazeh M. 2017. The Compare of grading criteria in Coarse ripple Mark on the windward and leeward slopes (Case Study: Hassan Abad erg in Bafg), quantitative geomorphological research,4; 134-144. Khalaf FI. 1989. Desertification and aeolian processes in the Kuwait desert. J. Arid Environ, 16; 125– 145. doi.org/10.1016/S0140-1963(18)31020-6. Khosravi F, Tazeh M, Saremi naeini MA, Kalantari S. 2020. Evaluation and comparison of Image J and GIAS softwares with mechanical sieving in automatic particle-size distributions. Arid Biome, 9; 29-42. doi.org/10.29252/ARIDBIOM.2020.1814. Li JC, Gao J, Zou XY, Kang XY. 2014. The relationship between nebkha formation and development and desert environmental changes. Acta Ecol. Sin. 34; 266–270. doi.org/10.1016/j.chnaes.2014.07.003. Li JR, Ravi S. 2018. Interactions among hydrological-aeolian processes and vegetation determine grainsize distribution of sediments in a semi-arid coppice dune (nebkha) system. doi.org/10.1016/j.jaridenv.2018.03.011. Li J, Yao Q, Wang Y, Liu R, Zhang H. 2019. Grain-size characteristics of surface sediments of nebkhas at the southern margin of the Mu Us dune field, China. Catena, 183; 104-210. doi.org/10.1016/j.catena.2019.104210.  Maun MA, Perumal J. 1999. Zonation of Vegetation on Lacustrine Coastal Dunes: Effects of Burial by Sand, Ecology Letters, 2; 14–18.doi.org/10.1046/j.1461-0248.1999.21048.x. Necsoiu M, Hooper DM. 2014. Encyclopedia of Planetary Landforms, Chapter: Nebkha.Springer, New York. doi.org/10.1007/978-1-4614-9213-9_514-1. Nickling WG, Wolfe SA. 1994. The morphology and Ongin of Nebkhas, Region of Mopti, Mali, West Africa, Arid Environments, 28; 13-30. doi.org/10.1016/S0140-1963(05)80017-5. Ruz MH, Héquette A, Marin D. 2017. Development of large nebkhas along an accreting macrotidal coastline, Northern France. Aeolian Res. 24; 1–14. doi.org/10.1016/j.aeolia.2016.11.002. Tengberg A. 1995. Nebkha dunes as indicators of wind erosion and land degradation in the Sahel zone of Burkina Faso. Arid Environments, 30; 265–282. doi.org/10.1016/S0140-1963(05)80002-3. Tazeh M, Asadi M, Taghizadeh R, Kalantari S, Sadeghinia M. 2018. Evaluation of geomorphometry indices in semi-automatic separation of the geomorphological types in desert areas (case study: west north of Ardekan). Iranian Journal of Range and Desert Research, 25;29-43. Tazeh M, Zhehtabian GhR, Ahmadi H, Nazari Samani AA, Ehsani AH. 2015. Determination of the most important Granulometric Parameters of Desert Plain in Different Types of pediment (Case Study: Khezr Abad). Quantitative Geomorphology Researches, 2; 43-31. Taghizadeh R, Ghazali A, Kalantari S, Rahimian MH. 2016. Spatial distribution of soil salinity using auxiliary variables and hypercube sampling method in Meybod, Arid Biom Scientific  and Research, 6 ; 69-79.  Tengberg A, Chen D. 1998. A Comparative Analysis of Nebkha in Centeral Tunisia and Northern Burkina Faso, Geomorphology, 22; 181-192. doi.org/10.1016/S0169-555X(97)00068-8. Thomas AD, Dougill AJ. 2001. Processes of Nebkha dune formation and wind-blown nutrient deposition in the Molopo basin, Southern Africa. Soil Erosion, 14; 490. Vali A, Poorgsrvani M. 2008. Comparison Analysis Nebka Morphometric Relationships between Components and Morphology of Plant Species Tamarix Mascatensis, Reaumuria Turkestanica, Mannifera Alhagi in Khairabad Sirjan, Geography and Environmental Planning, 35; 119-134. Wang X, Dong Z, Zhang J, Chen G. 2003. Geomorphology of Sand Dunes in The Northeast Taklimakan Desert, Geomorphology. 42; 183-195. doi.org/10.1016/S0169-555X(01)00085-X. Zarei M, Tazeh M, Moosavi V, Kalantari S. 2021. Evaluating the changes in Gavkhuni Wetland using MODIS satellite images in 2000-2016.  Nature and Spatial Sciences, 1; 27-41. doi.org/10.30495/JONASS.2021.1921485.1003. Zehtabian GR, Ahmadi H, Samani Nazari A, Ehsani M, Tazeh M. 2017. Determinind the Most Important Geo-Morphometric Parametrics in Classification of Desert Plains Using Artificial Neural  Networks and Sensivity  Analysis , Range and  Watershed Management, 70; 197-206 . doi.org/10.22059/JRWM.2017.61976.