The Efficiency of Agricultural Land Use in Mountainous Areas: Mathematical Modeling
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School of Geography and Tourism, Huizhou University, Huizhou, P.R. China
Department of Computational Methods in Continuum Mechanics, Saint Petersburg State University, Saint Petersburg, Russian Federation
Institute of Regional Economics and Inter-Budgetary Relations, Financial University under the Government of the Russian Federation, Moscow, Russian Federation
Department of Physical and Socio-Economic Geography, Federal State Budgetary Educational Institution of Higher Education “National Research Ogarev Mordovia State University” (National Research Ogarev Mordovia State University), Saransk, Russian Federation
Department of Computer-Aided Design and Engineering Calculation Systems, Russian State Agrarian University - Moscow Timiryazev Agricultural Academy, Moscow, Russian Federation
Department of Cadastre and Geoengineering, Kuban State Technological University, Krasnodar, Russian Federation
Department of Geodesy, Kuban State Agrarian University, Krasnodar, Russian Federation
Submission date: 2023-05-03
Final revision date: 2023-08-09
Acceptance date: 2023-10-02
Online publication date: 2023-12-28
Publication date: 2024-02-09
Corresponding author
Eugeny Kolpak   

Department of Computational Methods in Continuum Mechanics, Saint Petersburg State University, Saint Petersburg, Russia
Pol. J. Environ. Stud. 2024;33(2):1669-1679
This study aims to quantify the spatial changes in farmland and model the efficiency of their use in mountainous territories, considering climate, topographical characteristics, and the development of exogenous geological processes. The main factors affecting land-use efficiency were assessed using qualitative and quantitative fact-finding, correlation analysis, and Geographic Information Systems tools. Accordingly, 14 major influencing factors were identified. A correlation and regression analysis was performed to resolve the modelling task. Using the correlation analysis methodology, the impact of each factor on the required indicator was quantified. The model developed shows that the land structure and production volume mainly influence land-use efficiency in agriculture. This finding fits well with pan-European studies. There is an annual trend towards more efficient use of farmland. In general, mountainous regions may provide high indicators of agricultural production under conditions of warm climate, sufficient moisture content, soil fertility and/or moderate fertilization, control of erosion processes, and predominance of low hypsometric heights. The developed model allows for optimizing the utilization of land resources, improving soil fertility and crop yields, and finding the right decisions for preventing the development of unfavourable processes.
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