ORIGINAL RESEARCH
Development of Interactive Spruce Stands Map
for Monitoring Ecosystem Recovery
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1
Department of Social and Economic Geography, Institute of Geography RAS, Moscow, Russian Federation
2
Department of Chemistry, Sechenov First Moscow State Medical University, Moscow, Russian Federation
3
Department of Pharmacy, Sechenov First Moscow State Medical University, Moscow, Russian Federation
4
Department of State Law and Customs Administration, Vladimir State University named after
Alexander Grigoryevich and Nikolai Grigoryevich Stoletovs, Vladimir, Russian Federation
Submission date: 2020-11-05
Final revision date: 2020-12-23
Acceptance date: 2020-12-25
Online publication date: 2021-06-08
Publication date: 2021-07-29
Corresponding author
Irina Volkova
Department of Social and Economic Geography, Institute of Geography RAS, Moscow, Russia
Pol. J. Environ. Stud. 2021;30(5):4219-4225
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ABSTRACT
The aim of the study is to develop interactive spruce stands map of two model landscapes of the
Moscow region, Russia (Istrinsky and Luzgarinsky) considering the foci of insects’ mass reproduction.
The studies were carried out in 2016, in the Moscow region (Russia). For comparative analysis of spruce
forests and stands for the Istrinsky and Luzgarinsky landscape, an interactive map based on Landsat
satellite images has been developed, and cartographic data from 1991 to 2016 has been analyzed. The
survey was carried out on a model area of 190 hectares in Kurilovo (Moscow region) at an altitude of
300 m using an unmanned aerial vehicle (UAV) Ptero-E. The processing of satellite images showed
an unequal decrease in forest cover for the spruce forests and stands during 1991-2016, namely from
53% to 44% and from 73% to 70% in the Istrinsky and Luzgarinsky landscape, respectively. The data
obtained with the UAV helped to determine the area affected by the bark beetle (Ips typographus),
one of the most destructive pests of spruce trees, especially those that are over 70 years old: 3.2 out of
93.6 hectares of the total area of spruce forests. The short-term productivity and conditional inference
forests decreased in area by 67% during 1991-2016, while long-term productivity - only by 28%.