Economic Aspects of Reducing the Anthropogenic Load on Specially Protected Natural Areas

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Research ID O8M2R

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Abstract

An increase in interest in ecological tourism, together with a decrease in the tourist flow in other directions (including international ones), has influenced a significant increase in interest in specially protected natural areas. The increase in the flow of visitors affects the ecological state of natural systems, which makes it necessary to search for factors to reduce the anthropogenic load. The article discusses the economic aspects of reducing the anthropogenic load on specially protected natural areas. Protected natural areas account for 12% of the world's land surface and are the main targets of all national and international strategies supported by the Government and international agencies. The author argues that in order to reduce the anthropological burden, it is necessary to combine the efforts of public authorities, entrepreneurs and the population of the region. To reduce the anthropogenic load, the creation of economic mechanisms for rationing the flow of visitors to specially protected natural areas, the creation of infrastructure facilities, and the development of a system of additional paid services are proposed. The development of economic mechanisms of nature management is associated with the development of ecological tourism, which will be provided by the economic and ecological development of recreational resources without prejudice to natural areas, the preservation of forests and water bodies, and the reduction of anthropogenic load should be provided by regulating the flow of visitors to protected areas. It is necessary to take into account the importance of environmental regulation of anthropogenic loads to maintain the ecological balance of natural ecosystems, each of which has its own "economic capacity:" which should not be exceeded.

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Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

Not applicable

Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

Funding

This work did not receive any external funding.

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  • Classification

    DDC Code: 338.479172981 LCC Code: G155.C35

  • Version of record

    v1.0

  • Issue date

    31 May 2022

  • Language

    en

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