Article 8116

Title of the article

FORECAST OF FOREST COVER CHANGES IN SAMARA REGION AT SUSTAINABLE DEVELOPMENT SCENARIOS 

Authors

Rozenberg Anastasia Gennadyevna, Junior staff scientist, Institute of the Volga River Basin Ecology of RAS (10 Komzina street, Togliatti, Russia), chicadivina@yandex.ru
Kostina Natalia Viktorovna, Candidate of biological sciences, senior staff scientist, Institute of the Volga River Basin Ecology of RAS (10 Komzina street, Togliatti, Russia), knva2009@yandex.ru
Rozenberg Gennady Samuilovich, Doctor of biological sciences, professor, corresponding member of RAS, director, Institute of the Volga River Basin Ecology of RAS (10 Komzina street, Togliatti, Russia), genarozenberg@yandex.ru

Index UDK

502.335;504.052

Abstract

Background. The scenario analysis is being used more often now for planning, evaluation and implementation of decisions relating to environment and sustainable development. The purpose of this study is to forecast changes in the forest cover of Samara region at various development ways.
Materials and methods. The research data was taken from open sources, results of opinion polls, including those conducted by the authors. The study was conducted by the method of scenario analysis using the Cobb – Douglas function of exponential type.
Results. The conducted research considered four development options of the “nature – society” system on the basis of opinion polls. There was given a forecast of forest cover changes in the framework of sustainable development by the example of Samara region.
Conclusions. The forecast of forest cover changes in Samara region until 2100 based on the synthetic model taking into account ecological and sociological analysis of human development scenarios showed that the percentage of forest cover in the worst case scenario would be reduced to 0,5 % of the region’s area, but under unaltered conditions – to 8 %. At the most appropriate scenario the forest cover would be increased to 18 %, while the “utopian” scenario would bring it back to the level of the year 1700.

Key words

scenario analysis, sustainable development, forest cover, Samara region

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Дата обновления: 26.08.2016 11:15