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Information Support of Monitoring as a Tool of Ecological Optimization of Agricultural Land Use

Bibliographic Data

ID16900223
AuthorsTatiana Ivanovna BAKINOVA, Natalia Evgenievna DARBAKOVA (Kalmyk State University), Gerenzel Yashkulovna KAZAKOVA (Kalmyk State University), Saglara Alexandrovna SANGADZHIEVA, С А Сангаджиева (Kalmyk State University), Irina Evgenievna DARBAKOVA (Kalmyk State University)
Year2019
Volume10
Issue1
Pages195
Publication date2019-05-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Environmental Management and Tourism (JOURNAL)
Journal identifiersISSN: 2068-7729 • E-ISSN: 2068-7729
PublisherSC ASERS SRL (PUBLISHER)
DOI10.14505//jemt.10.1(33).19
OpenAlexW2945360511
LanguageEN

The purpose of the present work is to analyze the features of negative processes occurring in the land fund of the Republic of Kalmykia, to substantiate the organizational measures aimed at providing information support of monitoring as a tool for environmental optimization of the territory. Methods. The authors used general scientific methods, such as comparison, generalization, analysis, synthesis, as well as particular scientific methods, which included statistical, field, cartographic, and expert evaluation methods. The use of these methods made it possible to carry out ecological and geographical, environmental analysis of the territory, as well as to assess the adverse anthropogenic effects. Regional studies with regard to the degradation processes, their rates and intensity allowed justifying the choice of model polygons in different areas of Kalmykia. Model polygons will serve the basis for the data generation for the information database in order to predict the development of certain processes, as well as identify positive and negative trends

Agriculture · Environmental planning · Environmental resource management · Field (mathematics) · Generalization · Geography · Land use · Operations research · Agricultural Development and Policies · Agricultural Productivity and Crop Improvement · Computer Science · Digitalization and Economic Development in Agriculture · Ecology · Environmental Science

Citation velocityhistorical
Highly citedNo

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