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Assessing the intensity of reduction and restoration of irrigated lands’ state in the Republic of Bashkortostan
BackgroundIrrigation of lands over time leads to such negative processes as land salinization and waterlogging, reduction of soil fertility, changes in the chemical composition of groundwater, and the emergence of linear and irrigation erosion. The land improvement (ameliorative) categories adopted...
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Published in: | Journal of plant nutrition and soil science 2023-10, Vol.186 (5), p.590-598 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | BackgroundIrrigation of lands over time leads to such negative processes as land salinization and waterlogging, reduction of soil fertility, changes in the chemical composition of groundwater, and the emergence of linear and irrigation erosion. The land improvement (ameliorative) categories adopted in Russia and several post‐Soviet countries determine their suitability for agricultural use and the focus of measures to preserve potential soil fertility.AimsThe study aims to build a mathematical model to assess the intensity of the reduction and restoration of irrigated lands’ state in the Republic of Bashkortostan.MethodsThe methods of the theory of random processes are proposed to estimate the intensity of reduction and restoration of irrigated lands’ state on the territory of the Republic.ResultsAs a result of the calculations, the values of intensities characterizing changes in the state of land in the region were obtained. The practical significance of the developed model consists of the possibility of short‐term forecasting and determination of the necessary intensity of land quality restoration taking into account planned values during the given period.ConclusionsThe offered indicator of intensity and the method of its definition can be used in research of similar processes proceeding on agricultural lands within the limits of large spatial units. |
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ISSN: | 1436-8730 1522-2624 |
DOI: | 10.1002/jpln.202300147 |