The Role of Microsites in the Natural Regeneration of Trees in Boreal Tall-Herb Dark Coniferous Forests of the Northern Urals


Цитировать

Полный текст

Открытый доступ Открытый доступ
Доступ закрыт Доступ предоставлен
Доступ закрыт Только для подписчиков

Аннотация

This paper presents the results of research into the role of various types of microsites (flat under- and intercrown areas, stumps, fallen logs, mounds, and pits) in the natural regeneration of trees in uneven-aged dark coniferous boreal tall-herb spruce–fir forests of the northern Urals. Areas of microsites of various types have been identified; a general description of natural tree regeneration is provided; the association of undergrowth of various tree species with different microsites was determined; and the undergrowth distribution by ontogenetic states has been assessed. The lowest undergrowth density was registered on flat sites occupying the major part of the community area, while the highest density was detected on elevated microsites (fallen logs, stumps, and mounds) the total area of which is pretty small. The highest density of the undergrowth of all species was observed on stumps. On mounds and fallen logs, it was 4.3 and 3.0 times lower, respectively. It is shown that elevated microsites (stumps, fallen logs, and mounds) are required for successful survival of the undergrowth of various tree species in boreal tall-herb forests.

Об авторах

A. Efimenko

Center for Forest Ecology and Productivity, Russian Academy of Sciences

Email: aaacastor@gmail.com
Россия, Moscow, 117997

A. Aleinikov

Center for Forest Ecology and Productivity, Russian Academy of Sciences

Автор, ответственный за переписку.
Email: aaacastor@gmail.com
Россия, Moscow, 117997

Дополнительные файлы

Доп. файлы
Действие
1. JATS XML

© Pleiades Publishing, Inc., 2019

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).