Susceptibility of forest plantations to the development of outbreaks of insect pests: forecast based on remote sensing data
https://doi.org/10.53374/1993-0135-2024-2-30-37
Abstract
Methods are proposed for analyzing the susceptibility of forest stands to attack by forest insects based on Earth remote sensing data. As an indicator of the state of trees, it is proposed to use the indicator of the susceptibility of the vegetative vegetation index during the season (NDVI) to changes in the radiative temperature of the territory (LST), obtained from satellite data of the Terra/Aqua system. The indicator was calculated as the spectral response transfer function in the integral equation relating changes in NDVI and LST.
The analysis was carried out for three experimental objects. In the first case, fir stands of the taiga zone of Krasnoyarsk Krai were studied. Those were territories that have been damaged by caterpillars of the Siberian silkmoth Dendrolimus sibiricus Tschetv since 2015 and adjacent undamaged areas. In the second case the object of the study was mountain fir stands in the Ermakovsky District in the south of Krasnoyarsk Krai, damaged in 2013 by the black fir longhorned beetle Monochamus urussovi Fischer. Finally, the state of fir forests in the Birilyussky District of Krasnoyarsk Krai was examined in 2023, when no damage to the stands had yet been observed, but individuals of the Siberian silkmoth were found in pheromone traps.
It was shown that the indicator of plant susceptibility in the studied sample areas changed significantly 2–3 years before the outbreak of the pest. The proposed indicator can be used to predict outbreaks of insect pests.
About the Authors
V. G. SoukhovolskyRussian Federation
50/28, Akademgorodok, Krasnoyarsk, 660036
A. V. Kovalev
Russian Federation
50, Akademgorodok, Krasnoyarsk, 660036
A. A. Astapenko
Russian Federation
50a, Akademgorodok, Krasnoyarsk, 660036
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Review
For citations:
Soukhovolsky V.G., Kovalev A.V., Astapenko A.A. Susceptibility of forest plantations to the development of outbreaks of insect pests: forecast based on remote sensing data. Conifers of the boreal area. 2024;42(2):30–37. (In Russ.) https://doi.org/10.53374/1993-0135-2024-2-30-37