Please use this identifier to cite or link to this item: https://elar.usfeu.ru/handle/123456789/11354
Title: Experience of Forest Ecological Classification in Assessment of Vegetation Dynamics
Authors: Ivanova, N.
Fomin, V. V.
Kusbach, A.
Issue Date: 2022
Publisher: MDPI
Citation: Ivanova, N. Experience of Forest Ecological Classification in Assessment of Vegetation Dynamics /  N. Ivanova, V. V. Fomin, A. Kusbach // Sustainability (Switzerland). – 2022. – Vol. 14. – Iss. 6. – № 3384.
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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords: EUROPEAN UNION
FOREST DYNAMICS
FOREST ECOLOGICAL CLASSIFICATION
NORTH AMERICA
RUSSIA
URI: https://elar.usfeu.ru/handle/123456789/11354
DOI: 10.3390/su14063384
SCOPUS: 2-s2.0-85126939291
WoS: WOS:000774253800001
RSCI: 49147304
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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