Ecological and economic implementation models for forest-climatic projects in Central forest-steppe

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Abstract

This article tackles the assessment of forest growing conditions determinism while evaluating the capacity as well as ecological and economic efficiency of forest climatic projects in the framework of low-carbon economic development. In the course of the work, the main theoretical and methodological provisions related to determining the efficiency of forest climatic projects are considered. Using the example of the Central forest-steppe, the main types of forest conditions that have the most significant impact on the ecological and economic efficiency of forest climatic projects are identified. Carbon intensity coefficients of investment costs have been determined as integral indicators of the forest-climatic projects efficiency, including both in-kind effects in the form of reducing emissions and increasing greenhouse gas absorption, and financial effects in the form of investment outlay for project activities. Based on the results of the study, it was found that the forest areas with richer forest conditions, such as oak forests and semioak forests in the Central forest-steppe zone, have the greatest economic capacity for implementing forest-climatic reforestation projects in burnt forest areas and cut-over lands. In addition to oak and semioak forests, semipine ones are suitable for the implementation of forest-climatic afforestation projects in the Central forest-steppe. It has been established that the coefficients of carbon intensity of investment outlay for the most effective forest-climatic reforestation projects exceed the value of 1, and for the most effective forest-climatic afforestation projects exceed the value of 2, which indicates broad perspectives for their implementation in the Central forest-steppe zone of Russia. At the same time, the need to develop the processes of regulating forest-climatic projects through the development of a national standard for project activities has been identified.

About the authors

Svetlana S. Morkovina

Voronezh State University of Forestry and Technologies named after G.F. Morozov

Author for correspondence.
Email: tc-sveta@mail.ru

Dr. Sci. (Economic)

Russian Federation, 8, Timiryazeva St., 39408, Voronezh

Nikolay N. Kharchenko

Voronezh State University of Forestry and Technologies named after G.F. Morozov

Email: forest.vrn@gmail.com

Dr. Sci. (Biology)

Russian Federation, 8, Timiryazeva St., 39408, Voronezh

Anna V. Ivanova

Voronezh State University of Forestry and Technologies named after G.F. Morozov

Email: anna_iv_1989@mail.ru

Cand. Sci. (Economic)

Russian Federation, 8, Timiryazeva St., 39408, Voronezh

Denis K. Kuznetsov

Voronezh State University of Forestry and Technologies named after G.F. Morozov

Email: kuznetsovden1999@mail.ru

Cand. Sci. (Economic), Junior Researcher at the ITLK Research Institute

Russian Federation, 8, Timiryazeva St., 39408, Voronezh

Sergey S. Sheshnitsan

Voronezh State University of Forestry and Technologies named after G.F. Morozov

Email: sheshnitsan@gmail.com

Cand. Sci. (Biology), Head of Laboratory at the ITLK Research Institute

Russian Federation, 8, Timiryazeva St., 39408, Voronezh

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2. Fig. 1. Carbon intensity coefficient of investment outlay for different types of forest growing conditions for model forest-climatic projects for burnt areas reforestation

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3. Fig. 2. Carbon intensity coefficient of investment outlay for different types of forest growing conditions for model forest climatic projects for reforestation in clear-cut areas

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4. Fig. 3. Carbon intensity coefficient of investment outlay for different types of forest growing conditions for model afforestation climatic projects

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