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Прогнозное картографирование лесных экосистем (ландшафтно-экологический подход)

Прогнозное картографирование лесных экосистем (ландшафтно-экологический подход)

Abstract

Рассматриваются методы крупнои среднемасштабного картографирования прогнозируемых состояний лесных экосистем при глобальном изменении климата. Прогнозные карты функциональных и структурных преобразований в лесных массивах представляют собой рассчитанные матрицы, визуализированные в ГИС-программах. Представленные методы расчета прогнозных карт отличаются способом интерполяции и экстраполяции данных, использованием в качестве пространственных и временных предикторов матриц: 1 – типов местоположений, 2 – изучаемой характеристики для базового периода, 3 – прогнозируемых гидротермических характеристик, 4 – показателей устойчивости экосистемы. Показано, что рельеф может значительно модифицировать узоры характеристик лесов, которые прогнозируются с использованием только климатических изменений. Подходы иллюстрируются примерами прогнозных карт для лесных экосистем Приокско-Террасного заповедника и Северного Кавказа.

Methods of fineand intermediate-scale mapping of the prognostic state of forest ecosystems under global climate changes are considered. Projected maps of functional and structural changes in forest stands are expressed as calculated grids visualized in GIS programs. Our methods of calculating projected maps differ from other methods of data extrapolation and interpolation by the way how to use as predictors the grids of: 1 – catenae, 2 – values ​​of the property under consideration for the base period, 3 – prognostic values ​​of hydrothermal terrain features, 4 – stability indices of ecosystems. It is shown that the topography may modify projected forest patterns calculated using climate changes only. The approaches are illustrated using examples of prognostic models for forest ecosystems of Oksko-Terrasny Reserve and Northern Caucasus.

Keywords

ПРОСТРАНСТВЕННОЕ МОДЕЛИРОВАНИЕ, БИОГЕОЦЕНОЗ, ГЕОМОРФОМЕТРИЯ, ТИПЫ МЕСТОПОЛОЖЕНИЙ, МНОЖЕСТВЕННАЯ РЕГРЕССИЯ, ВЕРИФИКАЦИЯ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold