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Article

Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements

by
Ruslan Suleymanov
1,2,
Azamat Suleymanov
3,
Gleb Zaitsev
1,2,
Ilgiza Adelmurzina
4,5,
Gulnaz Galiakhmetova
4,5,
Evgeny Abakumov
6,* and
Ruslan Shagaliev
5
1
Ufa Institute of Biology, Ufa Federal Research Centre, Russian Academy of Sciences, 69, October pr-t., 450054 Ufa, Russia
2
Laboratory of Climate Change Monitoring and Carbon Ecosystems Balance, Ufa State Petroleum Technological University, 1, Kosmonavtov st., 450064 Ufa, Russia
3
Department of Environmental Protection and Prudent Exploitation of Natural Resources, Ufa State Petroleum Technological University, 1, Kosmonavtov st., 450064 Ufa, Russia
4
Department of Geodesy, Cartography and Geographic Information Systems, Ufa University of Science and Technology, 32, Zaki Validi st., 450076 Ufa, Russia
5
Laboratory of Geoinformation Systems in the Field of Decarbonization, Ufa State Petroleum Technological University, 1, Kosmonavtov st., 450064 Ufa, Russia
6
Department of Applied Ecology, Saint-Petersburg State University, 16-Line V.O. 29, 199178 Saint-Petersburg, Russia
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(9), 5249; https://doi.org/10.3390/app13095249
Submission received: 31 March 2023 / Revised: 19 April 2023 / Accepted: 21 April 2023 / Published: 22 April 2023

Abstract

Traditional land-use systems can be modified under the conditions of climate change. Higher air temperatures and loss of productive soil moisture lead to reduced crop yields. Irrigation is a possible solution to these problems. However, intense irrigation may have contributed to land degradation. This research assessed the ameliorative potential of soil and produced large-scale digital maps of soil properties for arable plot planning for the construction and operation of irrigation systems. Our research was carried out in the southern forest–steppe zone (Southern Ural, Russia). The soil cover of the site is represented by agrochernozem soils (Luvic Chernozem). We examined the morphological, physicochemical and agrochemical properties of the soil, as well as its heavy metal contents. The random forest (RF) non-linear approach was used to estimate the spatial distribution of the properties and produce maps. We found that soils were characterized by high organic carbon content (SOC) and neutral acidity and were well supplied with nitrogen and potassium concentrations. The agrochernozem was characterized by favorable water–physical properties and showed good values for water infiltration and moisture categories. The contents of heavy metals (lead, cadmium, mercury, cobalt, zinc and copper) did not exceed permissible levels. The soil quality rating interpretation confirms that these soils have high potential fertility and are convenient for irrigation activities. The spatial distribution of soil properties according to the generated maps were not homogeneous. The results showed that remote sensing covariates were the most critical variables in explaining soil properties variability. Our findings may be useful for developing reclamation strategies for similar soils that can restore soil health and improve crop productivity.
Keywords: agricultural land; reclamation potential; basic soil features; soil organic carbon; soil quality rating agricultural land; reclamation potential; basic soil features; soil organic carbon; soil quality rating

Share and Cite

MDPI and ACS Style

Suleymanov, R.; Suleymanov, A.; Zaitsev, G.; Adelmurzina, I.; Galiakhmetova, G.; Abakumov, E.; Shagaliev, R. Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements. Appl. Sci. 2023, 13, 5249. https://doi.org/10.3390/app13095249

AMA Style

Suleymanov R, Suleymanov A, Zaitsev G, Adelmurzina I, Galiakhmetova G, Abakumov E, Shagaliev R. Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements. Applied Sciences. 2023; 13(9):5249. https://doi.org/10.3390/app13095249

Chicago/Turabian Style

Suleymanov, Ruslan, Azamat Suleymanov, Gleb Zaitsev, Ilgiza Adelmurzina, Gulnaz Galiakhmetova, Evgeny Abakumov, and Ruslan Shagaliev. 2023. "Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements" Applied Sciences 13, no. 9: 5249. https://doi.org/10.3390/app13095249

APA Style

Suleymanov, R., Suleymanov, A., Zaitsev, G., Adelmurzina, I., Galiakhmetova, G., Abakumov, E., & Shagaliev, R. (2023). Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements. Applied Sciences, 13(9), 5249. https://doi.org/10.3390/app13095249

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