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Modeling and Assessment of Land Degradation Vulnerability in Arid Ecosystem of Rajasthan Using Analytical Hierarchy Process and Geospatial Techniques

Author

Listed:
  • Brijesh Yadav

    (ICAR—National Bureau of Soil Survey & Land Use Planning, Regional Center, Udaipur 313001, India)

  • Lal Chand Malav

    (ICAR—National Bureau of Soil Survey & Land Use Planning, Regional Center, Udaipur 313001, India)

  • Raimundo Jiménez-Ballesta

    (Department of Geology and Geochemistry, Autónoma University of Madrid, 28049 Madrid, Spain)

  • Chiranjeev Kumawat

    (Sri Karan Narendra College of Agriculture, Sri Karan Narendra Agriculture University, Jobner, Jaipur 303329, India)

  • Abhik Patra

    (Department of Soil Science and Agricultural Chemistry, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221005, India
    Krishi Vigyan Kendra, Narkatiaganj, West Champaran 845455, India)

  • Abhishek Patel

    (ICAR—Central Arid Zone Research Institute, Regional Research Station, Bhuj 370105, India)

  • Abhishek Jangir

    (ICAR—National Bureau of Soil Survey & Land Use Planning, Regional Center, Udaipur 313001, India)

  • Mahaveer Nogiya

    (ICAR—National Bureau of Soil Survey & Land Use Planning, Regional Center, Udaipur 313001, India)

  • Roshan Lal Meena

    (ICAR—National Bureau of Soil Survey & Land Use Planning, Regional Center, Udaipur 313001, India)

  • Pravash Chandra Moharana

    (ICAR—National Bureau of Soil Survey & Land Use Planning, Nagpur 440033, India)

  • Nirmal Kumar

    (ICAR—National Bureau of Soil Survey & Land Use Planning, Nagpur 440033, India)

  • Ram Prasad Sharma

    (ICAR—National Bureau of Soil Survey & Land Use Planning, Regional Center, Udaipur 313001, India)

  • Lala Ram Yadav

    (Sri Karan Narendra College of Agriculture, Sri Karan Narendra Agriculture University, Jobner, Jaipur 303329, India)

  • Gangalakunta P. Obi Reddy

    (ICAR—National Bureau of Soil Survey & Land Use Planning, Nagpur 440033, India)

  • Banshi Lal Mina

    (ICAR—National Bureau of Soil Survey & Land Use Planning, Regional Center, Udaipur 313001, India)

Abstract

Wind erosion is a major natural disaster worldwide, and it is a key problem in western Rajasthan in India. The Analytical Hierarchy Process (AHP), the Geographic Information System (GIS), and remote sensing satellite images are effective tools for modeling and risk assessment of land degradation. The present study aimed to assess and model the land degradation vulnerable (LDV) zones based on the AHP and geospatial techniques in the Luni River basin in Rajasthan, India. This study was carried out by examining important thematic layers, such as vegetation parameters (normalized difference vegetation index and land use/land cover), a terrain parameter (slope), climatic parameters (mean annual rainfall and land surface temperature), and soil parameters (soil organic carbon, soil erosion, soil texture, and soil depth), using the Analytical Hierarchical Process (AHP) and geospatial techniques in the Luni River basin in Rajasthan, India. The weights derived for the thematic layers using AHP were as follows: NDVI (0.27) > MAR (0.22) > LST (0.15) > soil erosion (0.12) > slope (0.08) > LULC (0.06) > SOC (0.04) > soil texture (0.03) > soil depth (0.02). The result indicates that nearly 21.4 % of the total area is prone to very high degradation risks; 12.3% is prone to high risks; and 16%, 24.3%, and 26% are prone to moderate, low, and very low risks, respectively. The validation of LDV was carried out using high-resolution Google Earth images and field photographs. Additionally, the Receiver Operating Characteristic (ROC) curve found an area under the curve (AUC) value of 82%, approving the prediction accuracy of the AHP technique in the study area. This study contributes by providing a better understanding of land degradation neutrality and sustainable soil and water management practices in the river basin.

Suggested Citation

  • Brijesh Yadav & Lal Chand Malav & Raimundo Jiménez-Ballesta & Chiranjeev Kumawat & Abhik Patra & Abhishek Patel & Abhishek Jangir & Mahaveer Nogiya & Roshan Lal Meena & Pravash Chandra Moharana & Nirm, 2022. "Modeling and Assessment of Land Degradation Vulnerability in Arid Ecosystem of Rajasthan Using Analytical Hierarchy Process and Geospatial Techniques," Land, MDPI, vol. 12(1), pages 1-20, December.
    • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:106-:d:1018685
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    References listed on IDEAS

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    1. Shifa Chen & Wen Liu & Yonghui Bai & Xiaoying Luo & Hangfei Li & Xuan Zha, 2021. "Evaluation of watershed soil erosion hazard using combination weight and GIS: a case study from eroded soil in Southern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(2), pages 1603-1628, November.
    2. Nurnabi Meherul Alam & Chayna Jana & Debashis Mandal & Sunita Kumari Meena & Shashi Shekhar Shrimali & Uday Mandal & Sabyasachi Mitra & Gouranga Kar, 2022. "Applying Analytic Hierarchy Process for Identifying Best Management Practices in Erosion Risk Areas of Northwestern Himalayas," Land, MDPI, vol. 11(6), pages 1-18, June.
    3. Ranjan Bhattacharyya & Birendra Nath Ghosh & Prasanta Kumar Mishra & Biswapati Mandal & Cherukumalli Srinivasa Rao & Dibyendu Sarkar & Krishnendu Das & Kokkuvayil Sankaranarayanan Anil & Manickam Lali, 2015. "Soil Degradation in India: Challenges and Potential Solutions," Sustainability, MDPI, vol. 7(4), pages 1-43, March.
    4. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
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    1. Gebreslassie Welu Hailemariam & Jianlin Zhao & Awdenegest Moges, 2024. "Identification of Spatial Patterns of Soil Erosion Based on the Combination of RUSLE and MCDA in the Ahferom District, Northern Ethiopia," Land, MDPI, vol. 13(10), pages 1-19, October.

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