AREA DIFFERENTIATION OF AGRICULTURAL LAND ON THE EXAMPLE OF TOMSK DISTRICT

The relevance of the research is caused by the need to optimize the size of land plots to improve the organization of using agricultural land in the area of risky farming. The aim of the study is to analyze the existing spatial distribution of land plots for agricultural purposes to choose the ways...

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Main Authors: Olga A. Pasko, Alexandr V. Zakharchenko, Ekaterina V. Pospelova
Format: Article
Language:Russian
Published: Tomsk Polytechnic University 2019-05-01
Series:Известия Томского политехнического университета: Инжиниринг георесурсов
Subjects:
Online Access:http://izvestiya.tpu.ru/archive/article/view/269/181
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spelling doaj-d5aaa503b66d421599d220e4b1884f222020-11-25T02:39:36ZrusTomsk Polytechnic UniversityИзвестия Томского политехнического университета: Инжиниринг георесурсов2500-10192413-18302019-05-01330510011210.18799/24131830/2019/5/269AREA DIFFERENTIATION OF AGRICULTURAL LAND ON THE EXAMPLE OF TOMSK DISTRICTOlga A. Pasko0Alexandr V. Zakharchenko1Ekaterina V. Pospelova2National Research Tomsk Polytechnic UniversityInstitute of the problems of Northern development of Siberian Branch of the Russian Academy of SciencesNational Research Tomsk Polytechnic UniversityThe relevance of the research is caused by the need to optimize the size of land plots to improve the organization of using agricultural land in the area of risky farming. The aim of the study is to analyze the existing spatial distribution of land plots for agricultural purposes to choose the ways to optimize their use. The objects of the research are the 3309 agricultural land plots of 25 farms located in the South-East of Tomsk region. Methods: analytical, cartographic, correlation, regression and cluster types of analysis. Results. The authors have analyzed the sample of 3309 land plots from 25 farms of the Tomsk district, and determined its main statistical indicators. Polymodality of the sample and its nonconformity to the normal distribution were established by nonparametric methods of analysis. Based on the hierarchical cluster analysis, the authors proposed the taxonomy (total plot size, scale, standardization by proximity to the regional standard, relative deviations from the standard, relative sizes and affiliation to the farm) and classification of areas for agricultural land plots. Agriculture accounts for 44 % of the total. Almost half of the land is used for fodder crops, and 7 and 2 %, respectively, for garden and vegetable crops. Gray forest soils dominate (45 % of plots), 14 % of plots are covered with light gray forest soils, and 11 % are covered with all other types. Sod deep-podzolic, sod-gley and sod-gley soils are rarely found on agricultural lands. The position of land in the landscape is mainly eluvial (72 % of the plots) and transeluvial (21 % of the plots). Less than a hundred of plots are characterized by superaqual soils. It is shown that in the Tomsk district such factors as soil type, soil bonitet, position in the landscape and economic purpose do not affect the area of the agricultural plot. A linear relationship was established between the average land area and the number of land plots in the farm, which indicates the standardization of the land plots, after selection.http://izvestiya.tpu.ru/archive/article/view/269/181landagricultural purposeareatype of soilcredit scoreposition in the landscapecluster analysiscorrelation analysisclassificationland use deficiencies
collection DOAJ
language Russian
format Article
sources DOAJ
author Olga A. Pasko
Alexandr V. Zakharchenko
Ekaterina V. Pospelova
spellingShingle Olga A. Pasko
Alexandr V. Zakharchenko
Ekaterina V. Pospelova
AREA DIFFERENTIATION OF AGRICULTURAL LAND ON THE EXAMPLE OF TOMSK DISTRICT
Известия Томского политехнического университета: Инжиниринг георесурсов
land
agricultural purpose
area
type of soil
credit score
position in the landscape
cluster analysis
correlation analysis
classification
land use deficiencies
author_facet Olga A. Pasko
Alexandr V. Zakharchenko
Ekaterina V. Pospelova
author_sort Olga A. Pasko
title AREA DIFFERENTIATION OF AGRICULTURAL LAND ON THE EXAMPLE OF TOMSK DISTRICT
title_short AREA DIFFERENTIATION OF AGRICULTURAL LAND ON THE EXAMPLE OF TOMSK DISTRICT
title_full AREA DIFFERENTIATION OF AGRICULTURAL LAND ON THE EXAMPLE OF TOMSK DISTRICT
title_fullStr AREA DIFFERENTIATION OF AGRICULTURAL LAND ON THE EXAMPLE OF TOMSK DISTRICT
title_full_unstemmed AREA DIFFERENTIATION OF AGRICULTURAL LAND ON THE EXAMPLE OF TOMSK DISTRICT
title_sort area differentiation of agricultural land on the example of tomsk district
publisher Tomsk Polytechnic University
series Известия Томского политехнического университета: Инжиниринг георесурсов
issn 2500-1019
2413-1830
publishDate 2019-05-01
description The relevance of the research is caused by the need to optimize the size of land plots to improve the organization of using agricultural land in the area of risky farming. The aim of the study is to analyze the existing spatial distribution of land plots for agricultural purposes to choose the ways to optimize their use. The objects of the research are the 3309 agricultural land plots of 25 farms located in the South-East of Tomsk region. Methods: analytical, cartographic, correlation, regression and cluster types of analysis. Results. The authors have analyzed the sample of 3309 land plots from 25 farms of the Tomsk district, and determined its main statistical indicators. Polymodality of the sample and its nonconformity to the normal distribution were established by nonparametric methods of analysis. Based on the hierarchical cluster analysis, the authors proposed the taxonomy (total plot size, scale, standardization by proximity to the regional standard, relative deviations from the standard, relative sizes and affiliation to the farm) and classification of areas for agricultural land plots. Agriculture accounts for 44 % of the total. Almost half of the land is used for fodder crops, and 7 and 2 %, respectively, for garden and vegetable crops. Gray forest soils dominate (45 % of plots), 14 % of plots are covered with light gray forest soils, and 11 % are covered with all other types. Sod deep-podzolic, sod-gley and sod-gley soils are rarely found on agricultural lands. The position of land in the landscape is mainly eluvial (72 % of the plots) and transeluvial (21 % of the plots). Less than a hundred of plots are characterized by superaqual soils. It is shown that in the Tomsk district such factors as soil type, soil bonitet, position in the landscape and economic purpose do not affect the area of the agricultural plot. A linear relationship was established between the average land area and the number of land plots in the farm, which indicates the standardization of the land plots, after selection.
topic land
agricultural purpose
area
type of soil
credit score
position in the landscape
cluster analysis
correlation analysis
classification
land use deficiencies
url http://izvestiya.tpu.ru/archive/article/view/269/181
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