УДК 581.5
DOI: https://doi.org/10.52540/2074-9457.2025.4.20
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Г. Н. Бузук1, Е. В. Руденко2, Н. А. Кузьмичева2

АНАЛИЗ КРИВОЙ ОСВОЕНИЯ ПРОСТРАНСТВА ДОМИНАНТНЫМИ РАСТЕНИЯМИ: НОВЫЙ ПОДХОД К ИНТЕРПРЕТАЦИИ СТРАТЕГИЙ CSR

1г. Витебск, Республика Беларусь 

2Витебский государственный ордена Дружбы народов медицинский университет, г. Витебск, Республика Беларусь

 

В работе предложена методология функциональной оценки ценопопуляций растений, основанная на четырехпараметрической модели Вейбулла и концепции CSR-стратегий Граймса. Подход позволяет интерпретировать жизненные стратегии видов (C – конкурентность, S – стрессоустойчивость, R – рудеральность) на основе анализа кривой освоения пространства, где фитомасса и проективное покрытие рассматриваются как интегральные показатели. Использование производных аппроксимирующей кривой (MAI, RAI, POI) обеспечивает возможность выявления стратегических индексов, независимых от абсолютных значений признаков, и позволяет прогнозировать прогресс или регресс ценопопуляций в многолетнем мониторинге. Методика открывает новые возможности для классификации и визуализации стратегий, анализа сукцессионных процессов и оценки устойчивости растительных сообществ. Практическая значимость заключается в применении подхода для прикладной экологии, инвентаризации биологических ресурсов и прогнозирования динамики биоразнообразия.

Ключевые слова: CSR-стратегии, модель Вейбулла, ценопопуляция, фитомасса, проективное покрытие, MAI, RAI, POI, сукцессия, функциональная экология, мониторинг биоразнообразия.

 

SUMMARY

N. Buzuk, E. V. Rudenko, A. Kuzmicheva

ANALYSIS OF THE SPACE LEARNING CURVE BY DOMINANT PLANTS: A NEW APPROACH TO INTERPRETING CSR STRATEGIES

This study proposes a methodology for the functional assessment of plant populations based on the four-parameter Weibull model and Grime’s CSR strategy concept. The approach makes it possible to interpret species life strategies (C – competitiveness, S – stress tolerance, R – ruderality) based on the analysis of the space learning curve where biomass and projected cover are considered integral indicators. The use of derivatives by the approximating curve (MAI, RAI, POI) enables detection of strategic indices independent of absolute characteristic values and allows forecasting of plant population progression or regression in long-term monitoring. The methodology opens new opportunities for the classification and visualization of strategies, analysis of successional processes, and assessment of plant community stability rating. Its practical significance lies in the approach application to applied ecology, biological resource inventory, and biodiversity dynamics forecasting.

Keywords: CSR strategies, Weibull model, plant population, biomass, projected cover, MAI, RAI, POI, succession, functional ecology, biodiversity monitoring.

 

ЛИТЕРАТУРА

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профессор, доктор фармацевтических наук,

Бузук Г. Н.

Поступила 12.12.2025 г.