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Determining Land Management Zones Using Pedo-Geomorphological Factors in Potential Degraded Regions to Achieve Land Degradation Neutrality

Author

Listed:
  • Ali Keshavarzi

    (Laboratory of Remote Sensing and GIS, Department of Soil Science, University of Tehran, P.O. Box: 4111, Karaj 31587-77871, Iran)

  • Vinod Kumar

    (Department of Botany, DAV University, Jalandhar, Punjab 144012, India)

  • Eduardo Leonel Bottega

    (Federal University of Santa Maria, Cachoeira do Sul campus, Cachoeira do Sul, Rio Grande do Sul State 96506-322, Brazil)

  • Jesús Rodrigo-Comino

    (Instituto de Geomorfologia y Suelos, Department of Geography, University of Malaga, 29071 Malaga, Spain)

Abstract

The proper delineation of site-specific management zones is very important in the agricultural land management of potentially degraded areas. There is a necessity for the development of prospective tools in management plans to correctly understand the land degradation processes. In order to accomplish this, we present a pedo-geomorphological approach using soil texture, land elevation and flow vector aspects to distinguish different management zones and to discretize soil micronutrients. To achieve this goal, we conducted the study in the Neyshabur plain, Northeast Iran. For data collection, grid sampling (500 × 500 m) was used with 70 specific points. Soil samples were collected in triplicates from various sites as composite samples (0–30 cm) to analyse clay, Zn, Mn, Cu and Fe. Using the altitude information (obtained with GPS at each sampling point), flow vectors were also modelled for all selected points. Based on the values of altitude, flow vectors and clay, management zones were delimited using geographic information systems. The best data organization was obtained from the combination of clay + elevation + flow vector attributes, generating two different management zones. In this circumstance, the lowest fuzzy performance index (FPI) and modified partition entropy (MPE) values were generated. It can be observed that the management zone 1 (MZ1) is located in the areas with a lower elevation and higher content of clay. On the other hand, the MZ2 was characterized by areas with a higher elevation and lower clay content. This study concluded that the design of management zones, using pedo-geomorphological information could reduce the time and cost of sampling necessary to assess potentially degraded areas of land.

Suggested Citation

  • Ali Keshavarzi & Vinod Kumar & Eduardo Leonel Bottega & Jesús Rodrigo-Comino, 2019. "Determining Land Management Zones Using Pedo-Geomorphological Factors in Potential Degraded Regions to Achieve Land Degradation Neutrality," Land, MDPI, vol. 8(6), pages 1-14, June.
    • Handle: RePEc:gam:jlands:v:8:y:2019:i:6:p:92-:d:238075
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    References listed on IDEAS

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    1. Reeg, Jette & Schad, Thorsten & Preuss, Thomas G. & Solga, Andreas & Körner, Katrin & Mihan, Christine & Jeltsch, Florian, 2017. "Modelling direct and indirect effects of herbicides on non-target grassland communities," Ecological Modelling, Elsevier, vol. 348(C), pages 44-55.
    2. Saskia Keesstra & Gerben Mol & Jan De Leeuw & Joop Okx & Co Molenaar & Margot De Cleen & Saskia Visser, 2018. "Soil-Related Sustainable Development Goals: Four Concepts to Make Land Degradation Neutrality and Restoration Work," Land, MDPI, vol. 7(4), pages 1-20, November.
    3. United Nations, 2016. "The Sustainable Development Goals 2016," Working Papers id:11456, eSocialSciences.
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    1. Sabine van Rooij & Wim Timmermans & Onno Roosenschoon & Saskia Keesstra & Marjolein Sterk & Bas Pedroli, 2020. "Landscape-Based Visions as Powerful Boundary Objects in Spatial Planning: Lessons from Three Dutch Projects," Land, MDPI, vol. 10(1), pages 1-14, December.
    2. Saskia Keesstra & Saskia Visser & Margot De Cleen, 2021. "Achieving Land Degradation Neutrality: A Robust Soil System Forms the Basis for Nature-Based Solutions," Land, MDPI, vol. 10(12), pages 1-4, November.
    3. Mojtaba Zeraatpisheh & Esmaeil Bakhshandeh & Mostafa Emadi & Tengfei Li & Ming Xu, 2020. "Integration of PCA and Fuzzy Clustering for Delineation of Soil Management Zones and Cost-Efficiency Analysis in a Citrus Plantation," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
    4. Abazar Esmali Ouri & Mohammad Golshan & Saeid Janizadeh & Artemi Cerdà & Assefa M. Melesse, 2020. "Soil Erosion Susceptibility Mapping in Kozetopraghi Catchment, Iran: A Mixed Approach Using Rainfall Simulator and Data Mining Techniques," Land, MDPI, vol. 9(10), pages 1-18, October.
    5. Roman Plokhikh & Dana Shokparova & Gyula Fodor & Sándor Berghauer & Attila Tóth & Uzakbay Suymukhanov & Aiman Zhakupova & Imre Varga & Kai Zhu & Lóránt Dénes Dávid, 2023. "Towards Sustainable Pasture Agrolandscapes: A Landscape-Ecological-Indicative Approach to Environmental Audits and Impact Assessments," Sustainability, MDPI, vol. 15(8), pages 1-15, April.

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