Ivantsova E.A., Onistratenko N.V., Kholodenko A.V., Tikhonova A.A., Novochadov V.V. REDUCTION OF THE NEGATIVE IMPACT ON AGROCENOSES BY MANAGING ADJACENT NATURAL AND ANTHROPOGENIC SYSTEMS
DOI: https://doi.org/10.15688/jvolsu3.2017.4.15
Elena A. Ivantsova
Doctor of Sciences (Agriculture), Associate Professor, Head of Department of Ecology and Nature Management, Volgograd State University, Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it. .
Nikolay V. Onistratenko
Candidate of Sciences (Biology), Associate Professor, Department of Ecology and Nature Management, Volgograd State University, Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it. .
Anna V. Kholodenko
Candidate of Sciences (Geography), Associate Professor, Department of Ecology and Nature Management, Volgograd State University, Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it. .
Postgraduate Student, Department of Ecology and Nature Management, Volgograd State University, Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it. .
Valeriy V. Novochadov
Doctor of Sciences (Medicine), Professor, Director of the Institute of Natural Sciences, Volgograd State University, Prosp. Universitetsky, 100, 400062 Volgograd, Russian Federation, This email address is being protected from spambots. You need JavaScript enabled to view it. .
Abstract. The use of modern eco-oriented approaches in agriculture ensures not only the conservation of natural resources and the restoration of damaged ecosystems, but also the growth of agrocenoses productivity, increasing the tolerance of artificial ecosystems to unfavorable factors of natural and anthropic origin. The identification of consortia relations, carried out in the present article, allows to create the information database for accumulating and processing information on the patterns of ecosystem functioning in arid conditions. This provides researchers and farmers with a set of unified ecosystem tools to ensure sustainability and productivity of agrocenosis that increases the economic efficiency of management system and ensures the success of environmental management. The research carried out in three typical landscape localizations are intended to assess the state of agrocenoses, the nearby low-changed steppe sites and man-made intrusions, characterized by a high degree of anthropogenic load. The patterns of species distribution in the studied communities, the features of material and energy exchange will allow creating a database for describing the typical consortia, forecasting processes in agrocenoses and natural communities, controling the metabolism of the communities using metered-dose unidirectional biotic and abiotic agents. The distinctive natural and artificially modified communities are described. Soil and climate, phytocenological, zoological and microbiological characteristics of the studied objects are given. The peculiar forms of intrusions, the features of spatial distribution and quantitative dynamics of the species composing the communities are revealed and described; the typical species-edificators are pre-determined. The authors also determine the choice of consortium relations that are significant for the implementation of targeted high-precision management of biocenoses with the aim of increasing the stability of natural communities and the economic efficiency of agrocenoses.
Key words: agrocenoses, agricultural nature management, damaged ecosystems, consortia relations, management of biocenoses, database.
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REDUCTION OF THE NEGATIVE IMPACT ON AGROCENOSES BY MANAGING ADJACENT NATURAL AND ANTHROPOGENIC SYSTEMS by Ivantsova E.A., Onistratenko N.V., Kholodenko A.V., Tikhonova A.A., Novochadov V.V. is licensed under a Creative Commons Attribution 4.0 International License.