Indicators in Estimation of Land Degradation Neutrality for Russian Boreal Forests


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In this paper, we analyze the applicability of the land degradation neutrality (LDN) concept of the UN Convention to Combat Desertification to the Russian boreal forests. In this regard, it is necessary to adapt three global LDN indicators (land cover, land productivity, and carbon stock) to the assessment of land degradation processes of boreal forests in Russia and around the world. According to the research results, landscapes with different types of forest restoration dynamics can be viewed as an object of forest land dynamic studies. A set of LDN indicators adapted for boreal forests conditions has also been suggested in the course of our research. In order to assess LDN proxies, we calculated the retrospective and projected net carbon balance in the middle taiga zone of the Noshulskoye forest domain (Komi Republic, Russia) using the CBM CFS model. We explored three scenarios of forest net carbon balance under three different felling regimes. The net carbon balance should not be applied as an independent LDN indicator, because it does not take into account changes in species diversity and primary productivity. It is suggested that industrial felling should imitate natural types of restoration dynamics in order to achieve LDN targets. It can be reached through minimization of forest felling at sites with fireless types of succession, which accumulate maximum stocks of dead phytomass matter and serve as forest refuges supporting biodiversity.

Sobre autores

A. Ptichnikov

Institute of Geography, Russian Academy of Sciences

Email: dkarelin7@gmail.com
Rússia, Moscow, 119017

D. Karelin

Institute of Geography, Russian Academy of Sciences; Center for Ecology and Forest Productivity, Russian Academy of Sciences

Autor responsável pela correspondência
Email: dkarelin7@gmail.com
Rússia, Moscow, 119017; Moscow, 117997

V. Kotlyakov

Institute of Geography, Russian Academy of Sciences

Email: dkarelin7@gmail.com
Rússia, Moscow, 119017

Y. Pautov

Silver Taiga Sustainable Development Fund

Email: dkarelin7@gmail.com
Rússia, Syktyvkar, 167000

A. Borovlev

Silver Taiga Sustainable Development Fund

Email: dkarelin7@gmail.com
Rússia, Syktyvkar, 167000

D. Kuznetsova

Institute of Geography, Russian Academy of Sciences

Email: dkarelin7@gmail.com
Rússia, Moscow, 119017

D. Zamolodchikov

Center for Ecology and Forest Productivity, Russian Academy of Sciences

Email: dkarelin7@gmail.com
Rússia, Moscow, 117997

V. Grabovsky

Center for Ecology and Forest Productivity, Russian Academy of Sciences

Email: dkarelin7@gmail.com
Rússia, Moscow, 117997

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