Challenges in Mapping Soil Variability Using Apparent Soil Electrical Conductivity under Heterogeneous Topographic Conditions

Author:

Kulmány István Mihály12ORCID,Bede László12,Stencinger Dávid12,Zsebő Sándor12,Csavajda Péter3ORCID,Kalocsai Renátó4ORCID,Vona Márton5,Jakab Gergely6ORCID,Vona Viktória Margit4,Bede-Fazekas Ákos78ORCID

Affiliation:

1. Agricultural and Food Research Centre, Széchenyi István University, 9200 Mosonmagyaróvár, Hungary

2. Department of Plant Sciences, Albert Kázmér Faculty of Agricultural and Food Sciences in Mosonmagyaróvár, Széchenyi István University, 9200 Mosonmagyaróvár, Hungary

3. Department of Logistics and Forwarding, Audi Hungaria Faculty of Vechicle Engineering, Széchenyi István University, 9026 Győr, Hungary

4. Department of Water Management and Natural Ecosystems, Albert Kázmér Faculty of Agricultural and Food Sciences in Mosonmagyaróvár, Széchenyi István University, 9200 Mosonmagyaróvár, Hungary

5. Csernozjom Ltd., 5065 Nagykörű, Hungary

6. HUN-REN Research Centre for Astronomy and Earth Sciences, Geographical Institute, 1052 Budapest, Hungary

7. HUN-REN Centre for Ecological Research, Institute of Ecology and Botany, 2163 Vácrátót, Hungary

8. Department of Environmental and Landscape Geography, Institute of Geography and Earth Sciences, ELTE Eötvös Loránd University, 1117 Budapest, Hungary

Abstract

Site-specific management requires the identification of treatment areas based on homogeneous characteristics. This study aimed to determine whether soil mapping based on apparent soil electrical conductivity (ECa) is suitable for mapping soil properties of fields with topographic heterogeneity. Research was conducted on two neighbouring fields in Fejér county, Hungary, with contrasting topographic heterogeneity. To characterise the spatial variability of soil attributes, ECa was measured and supplemented by obtaining soil samples and performing soil profile analysis. The relationship between ECa and soil physical and chemical properties was analysed using correlation, principal component, and regression analyses. The research revealed that the quality and strength of the relationship between ECa and soil remarkably differed in the two studied fields. In homogeneous topographic conditions, ECa was weakly correlated with elevation as determined by soil physical texture and nutrient content in a strong (R2 = 0.72) linear model. On the other hand, ECa was significantly determined by elevation in heterogeneous topographic conditions in a moderate (R2 = 0.47) linear model. Consequently, ECa-based soil mapping can only be used to characterise the soil, thus delineating management zones under homogeneous topographic conditions.

Funder

Recovery and Resilience Facility

National Recovery Fund

Publisher

MDPI AG

Reference86 articles.

1. Horváth, A. (2002). A Mezőföldi Löszvegetáció Términtázati Szerveződése, Scientia Kiadó. (In Hungarian).

2. Ádám, L., Marosi, S., and Szilárd, J. (1959). A Mezőföld Természeti Földrajza, Akadémiai Kiadó. (In Hungarian).

3. In situ and laboratory soil spectroscopy with portable visible-to-near-infrared and mid-infrared instruments for the assessment of organic carbon in soils;Hutengs;Geoderma,2019

4. Identifying subsoil variation associated with gilgai using electromagnetic induction;Watson;Geoderma,2017

5. Key soil and topographic properties to delineate potential management classes for precision agriculture in the European loess area;Vitharana;Geoderma,2008

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