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Applied Sciences (Switzerland), volume 13, issue 9, pages 5249

Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements

Suleymanov Ruslan ^{1, 2}

Suleymanov Azamat ³

Zaitsev Gleb A. ^{1, 2}

Adelmurzina Ilgiza ^{4, 5}

Galiakhmetova Gulnaz ^{4, 5}

Abakumov Evgeny ⁶

Shagaliev Ruslan ⁵

Hide authors affiliations Show authors affiliations: 6 affiliations

Ufa Institute of Biology, Ufa Federal Research Centre, Russian Academy of Sciences, 69, October pr-t., 450054 Ufa, Russia

Ufa Institute of the Ufa Federal Research Center of the Russian Academy of Sciences

Ufa Federal Research Center of the Russian Academy of Sciences

Laboratory of Climate Change Monitoring and Carbon Ecosystems Balance, Ufa State Petroleum Technological University, 1, Kosmonavtov st., 450064 Ufa, Russia |

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 |

Publication type: Journal Article

Publication date: 2023-04-22

Multidisciplinary Digital Publishing Institute (MDPI)

Journal: Applied Sciences (Switzerland)

Quartile SCImago

Quartile WOS

Impact factor: 2.7

ISSN: 20763417

DOI: 10.3390/app13095249

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Computer Science Applications

Process Chemistry and Technology

General Materials Science

Instrumentation

General Engineering

Fluid Flow and Transfer Processes

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.

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	1
International Journal of Environmental Science and Technology	International Journal of Environmental Science and Technology, 1, 50% International Journal of Environmental Science and Technology 1 publication, 50%
Geoderma Regional	Geoderma Regional, 1, 50% Geoderma Regional 1 publication, 50%
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Springer Nature	Springer Nature, 1, 50% Springer Nature 1 publication, 50%
Elsevier	Elsevier, 1, 50% Elsevier 1 publication, 50%
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Suleymanov R. et al. Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements // Applied Sciences (Switzerland). 2023. Vol. 13. No. 9. p. 5249.

GOST all authors (up to 50) Copy

Suleymanov R., Suleymanov A., Zaitsev G. A., Adelmurzina I., Galiakhmetova G., Abakumov E., Shagaliev R. Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements // Applied Sciences (Switzerland). 2023. Vol. 13. No. 9. p. 5249.

RIS |

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RIS Copy

TY - JOUR

DO - 10.3390/app13095249

UR - https://doi.org/10.3390%2Fapp13095249

TI - Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements

T2 - Applied Sciences (Switzerland)

AU - Suleymanov, Ruslan

AU - Suleymanov, Azamat

AU - Zaitsev, Gleb A.

AU - Adelmurzina, Ilgiza

AU - Galiakhmetova, Gulnaz

AU - Abakumov, Evgeny

AU - Shagaliev, Ruslan

PY - 2023

DA - 2023/04/22 00:00:00

PB - Multidisciplinary Digital Publishing Institute (MDPI)

SP - 5249

IS - 9

VL - 13

SN - 2076-3417

ER -

BibTex |

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BibTex Copy

@article{2023_Suleymanov,

author = {Ruslan Suleymanov and Azamat Suleymanov and Gleb A. Zaitsev and Ilgiza Adelmurzina and Gulnaz Galiakhmetova and Evgeny Abakumov and Ruslan Shagaliev},

title = {Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements},

journal = {Applied Sciences (Switzerland)},

year = {2023},

volume = {13},

publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},

month = {apr},

url = {https://doi.org/10.3390%2Fapp13095249},

number = {9},

pages = {5249},

doi = {10.3390/app13095249}

}

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MLA Copy

Suleymanov, Ruslan, et al. “Assessment and Spatial Modelling of Agrochernozem Properties for Reclamation Measurements.” Applied Sciences (Switzerland), vol. 13, no. 9, Apr. 2023, p. 5249. https://doi.org/10.3390%2Fapp13095249.

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Publisher

Multidisciplinary Digital Publishing Institute (MDPI)

Journal

Applied Sciences (Switzerland)

Quartile SCImago

Quartile WOS

Impact factor

2.7

ISSN

20763417 (Electronic)

Labs

Department of Applied Ecology of St. Petersburg State University

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