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Experience of Forest Ecological Classification in Assessment of Vegetation Dynamics

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  • Natalya Ivanova

    (Forest Science Department, Institute Botanic Garden Ural Branch of RAS, 8 Marta Street, 202a, 620144 Yekaterinburg, Russia
    Institute of Forest and Natural Resource Management, Ural State Forest Engineering University, Sibirskiy Trakt, 37, 620100 Yekaterinburg, Russia)

  • Valery Fomin

    (Institute of Forest and Natural Resource Management, Ural State Forest Engineering University, Sibirskiy Trakt, 37, 620100 Yekaterinburg, Russia
    Institute of Natural Sciences and Mathematics, Ural Federal University, Mira Street, 19, 620002 Yekaterinburg, Russia)

  • Antonín Kusbach

    (Department of Forest Botany, Dendrology and Geobiocoenology, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech Republic)

Abstract

Due to global climate change and increased forest transformation by humans, accounting for the dynamics of forest ecosystems is becoming a central problem in forestry. We reviewed the success of considering vegetation dynamics in the most influential ecological forest classifications in Russia, the European Union, and North America. Out of the variety of approaches to forest classification, only those that are widely used in forestry and forest inventory were selected. It was found that the system of diagnostic signs developed by genetic forest typology based on the time-stable characteristics of habitats as well as the developed concept of dynamic series of cenosis formation allows us to successfully take into account the dynamics of vegetation. While forest dynamics in European classifications is assessed at a theoretical level, it is also possible to assess forest dynamics in practice due to information obtained from EUNIS habitat classification. In ecological classifications in North America, the problem of vegetation dynamics is most fully solved with ecological site description (ESD), which includes potential vegetation and disturbance factors in the classification features. In habitat type classification (HTC) and biogeoclimatic ecosystem classification (BEC), vegetation dynamics is accounted based on testing the diagnostic species and other signs of potential vegetation for resistance to natural and anthropogenic disturbances. Understanding of vegetation–environment associations is fundamental in forming proper forest management methods and improving existing classification structures. We believe that this topic is relevant as part of the ongoing search for new solutions within all significant forest ecological classifications.

Suggested Citation

  • Natalya Ivanova & Valery Fomin & Antonín Kusbach, 2022. "Experience of Forest Ecological Classification in Assessment of Vegetation Dynamics," Sustainability, MDPI, vol. 14(6), pages 1-11, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3384-:d:770573
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    References listed on IDEAS

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    1. Chen Xu & Xianliang Zhang & Rocío Hernandez-Clemente & Wei Lu & Rubén D. Manzanedo, 2022. "Global Forest Types Based on Climatic and Vegetation Data," Sustainability, MDPI, vol. 14(2), pages 1-14, January.
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    Cited by:

    1. Vasiliy Slavskiy & Daria Litovchenko & Sergey Matveev & Sergey Sheshnitsan & Maxim V. Larionov, 2022. "Assessment of Biological and Environmental Factors Influence on Fire Hazard in Pine Forests: A Case Study in Central Forest-Steppe of the East European Plain," Land, MDPI, vol. 12(1), pages 1-15, December.
    2. Vlad-Emil Crişan & Lucian Dincă & Cosmin Bragă & Gabriel Murariu & Eliza Tupu & George Danut Mocanu & Romana Drasovean, 2023. "The Configuration of Romanian Carpathians Landscape Controls the Volume Diversity of Picea Abies (L.) Stands," Land, MDPI, vol. 12(2), pages 1-18, February.
    3. Raimundas Petrokas & Darius Kavaliauskas, 2022. "Concept for Genetic Monitoring of Hemiboreal Tree Dynamics in Lithuania," Land, MDPI, vol. 11(8), pages 1-17, August.
    4. Vítor João Pereira Domingues Martinho, 2022. "Forest Resources Management: An Editorial," Sustainability, MDPI, vol. 14(6), pages 1-2, March.
    5. Timothy Cadman & Tek Maraseni & Upama Ashish Koju & Anita Shrestha & Sikha Karki, 2023. "Forest Governance in Nepal concerning Sustainable Community Forest Management and Red Panda Conservation," Land, MDPI, vol. 12(2), pages 1-23, February.

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