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Создание карт потенциальной растительности на основе топографических переменных

Создание карт потенциальной растительности на основе топографических переменных

Abstract

С использованием обобщенных аддитивных моделей спрогнозирована структура растительного покрова территории Верхнеуссурийского стационара БПИ ДВО РАН (Приморский край), что позволило установить характер пространственного распределения растительных сообществ разных классификационных единиц и построить карты потенциальной растительности. Моделирование основано на установлении связей между признаками растительного покрова и факторами местопроизрастания, а также топографическими переменными, полученными на основе цифровой модели рельефа. Выделены основные топографические переменные и связанные с ними экологические факторы, обуславливающие картину растительного покрова исследуемой территории.

The vegetation cover structure using generalized additive models in Verhneussuriisky biogeocenotic station IBSS FEB RAS (Primorsky Krai) is predicted. It allowed to determine the nature of vegetation communities’ spatial distribution of different classification items and to make potential vegetation maps. The modeling is based on the connections detection between vegetation indications and growth place factors, and also topographic variables received from digital relief models. The main topographic variables and related environmental factors that specify the vegetation picture of the researched territory are singled out.

Keywords

ПОТЕНЦИАЛЬНАЯ РАСТИТЕЛЬНОСТЬ, КАРТИРОВАНИЕ, ПРОГНОЗ, МОДЕЛИРОВАНИЕ, ГЕОБОТАНИЧЕСКОЕ КАРТОГРАФИРОВАНИЕ, РЕЛЬЕФ, ЦИФРОВАЯ МОДЕЛЬ, УСЛОВИЯ МЕСТОПРОИЗРАСТАНИЯ, ФАКТОРЫ

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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
bronze