Экологический мониторинг и моделирование экосистем

Methodological foundations of complex studies of forest phytocenoses

Authors
  • D.V. Lezhnev

    Russian State Agrarian University ‒ Moscow Timiryazev Agricultural Academy, 49, Timiryazevskaya str., 127434, Moscow, Russian Federation
    Автор
Keywords:
Methodology, field work, forest ecosystems, monitoring, forest taxation, biometric characteristics of trees, inventory of stands, permanent sample plot, Arboreal Forest, iPhone LiDAR, iNaturalist.
Abstract

The article presents the methodological foundations of complex
studies of forest phytocenoses aimed at assessing the structural organization,
stability and dynamics of forest ecosystems on permanent sample plots. Modern
approaches to the establishment and survey of sample plots are described, including
the classification of vegetation layers, methods for inventorying the stand,
undergrowth, understory and living ground cover. The article considers modern
approaches to forest taxation using mobile devices equipped with LiDAR modules.
Particular attention is paid to methods for obtaining high-precision biometric
parameters of woody vegetation, as well as a comparative assessment of the
efficiency and accuracy achieved using a specialized Arboreal Forest application.
The importance of an integrated approach to the study of phytocenoses is
emphasized, including an assessment of the vertical and horizontal structure,
canopy density, a description of the undergrowth, understory and floristic
composition of the living ground cover, as well as the use of mathematical and
statistical methods in office data processing. The features of accounting for species
of living ground cover are considered in detail, including using the iNaturalist
platform. The work demonstrates the integration of traditional field methods with
new digital technologies that improve the accuracy, speed and reproducibility of
data when monitoring forest ecosystems.

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Published
2026-01-10
Section
Studies

How to Cite

Methodological foundations of complex studies of forest phytocenoses. (2026). Экологический мониторинг и моделирование экосистем, 36(3-4). http://envmonitoring.ru/index.php/emme/article/view/22