Сибирский федеральный университет

Тип публикации: статья из журнала

Год издания: 2023

Идентификатор DOI: 10.1002/ieam.4675

Аннотация: <jats:title>Abstract</jats:title><jats:p>The present study develops the application of suburban forests as bioindicators, with the industrial metropolis of Krasnoyarsk (Central Siberia, Russia) taken as an example. Huge forests, such as those found in large Siberian territories, are climate-forming for the entire planet. Hence, their conservation is essential at both the local and global scales. During the period 2002–2021, the vigor state of two pine forests was evaluated using several inventory and morphological parameters: needle damage, deterioration in tree condition, increased entropy, and tree mortality. Additionally, an original bioindication parameter was applied: episodic increase in the size of needles was analyzed. We hypothesized that this increase in needle size was related to the activation of tree protection at the initial stage of tree damage; the mechanism assumes a redirection of sugar transport into the crown to aid tree regeneration. All parameters were measured annually on six permanent sample plots; each plot included 200–300 numbered trees of similar age (approximately 60–80 years). The long-term parameter changes were analyzed and attributed to chronic exposure to industrial air pollution. Significant changes in pine-forest parameters observed over the past few years (2019–2021) may indicate an approaching stage of irreversible toxic damage that is the destruction of the entire forest system. The results encourage involving forest-based bioindication in the regional system of ecological monitoring. Forest-based bioindication can be used as a tool for evaluating the efficiency of long-term governmental activity on air quality in industrial metropolises. <jats:italic>Integr Environ Assess Manag</jats:italic> 2023;19:980–987. © 2022 SETAC</jats:p>

Журнал: Integrated Environmental Assessment and Management

Выпуск журнала: Т.19, №4

Номера страниц: 980-987

ISSN журнала: 15513777

• Polyakova Galina G. (Sukachev Institute of Forest Siberian Branch of the Russian Academy of Sciences Krasnoyarsk Russia)
• Senashova Vera A. (Sukachev Institute of Forest Siberian Branch of the Russian Academy of Sciences Krasnoyarsk Russia)
• Podolyak Natalia M. (Non-State Educational Institution of Higher Professional Education Siberian Institute of Business, Management and Psychology Krasnoyarsk Russia)
• Kolovskaya Alla V. (Siberian Federal University Krasnoyarsk Russia)
• Kudryasheva Nadezhda S. (Institute of Biophysics Siberian Branch of the Russian Academy of Sciences Krasnoyarsk Russia)

• Ядро РИНЦ (eLIBRARY.RU)