Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

[Текст] / T. R. Iskhakov [и др.] // Biofizika. - 2007. - Vol. 52, Is. 4. - С. 753-759. - Cited References: 23 . - 7. - ISSN 0006-3029РУБ Biophysics

Аннотация: A model of the population dynamics of insects has been developed, which takes into account the food consumption by insects and the reaction of food plants to the damage. Equations have been derived that describe the relationship between the coefficient of insect reproduction, the weight of females, the energetic effectiveness of the food consumption by insects, and the reaction of food plants. The scenarios of population outbreaks have been analyzed as a function of the weight of females in the stable state. The results of modeling have been compared with the data of natural observations.

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Держатели документа:
Russian Acad Sci, Krasnoyarsk Sci Ctr, Int Sci Ctr Studies Organism Extreme States, Sibirian Div, Akademgorodok 660036, Russia
Russian Acad Sci, Sukachev Inst Forest, Sibirian Div, Akademgorodok 660036, Russia
Siberian State Technol Univ, Krasnoyarsk 660049, Russia

Доп.точки доступа:
Iskhakov, T.R.; Soukhovolsky, V.G.; Ovchinnikova, T.M.; Tarasova, O...

[Text] / V. I. Kharuk [et al.] // Int. J. Remote Sens. - 2004. - Vol. 25, Is. 24. - P5543-5555, DOI 10.1080/01431160410001719858. - Cited References: 13 . - 13. - ISSN 0143-1161РУБ Remote Sensing + Imaging Science & Photographic Technology

Аннотация: During 1993-1996, in central Siberia, a silkmoth (Dendrolimus superans sibiricus Tschetw.) infestation damaged approximately 700 000 ha of fir, Siberian pine and spruce stands. Temporal (1995-1997) Advanced Very High Resolution Radiometer (AVHRR) images were used for pest outbreak monitoring of this event. Damaged stands were detected, with heavy (50-75% dead and dying trees) plus very heavy (75%) levels of damage classified. Summer and winter images were used for delineation of the northern border of the region of pest outbreaks. The Siberian taiga insects were classified with respect to their harmfulness to forests, based on the frequency Of Outbreaks, the size of the damaged territory, and the available food sources based on forest type.

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Scopus

Держатели документа:
Sukachev Inst Forest, Krasnoyarsk, Russia
NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

Доп.точки доступа:
Kharuk, V.I.; Ranson, K.J.; Kozuhovskaya, A.G.; Kondakov, Y.P.; Pestunov, I.A.

[Text] / K. J. Ranson [et al.] // Can. J. Remote Sens. - 2003. - Vol. 29, Is. 2. - P271-285. - Cited References: 32 . - 15. - ISSN 0703-8992РУБ Remote Sensing

Аннотация: As part of a Siberian mapping project supported by the National Aeronautics and Space Administration (NASA), this study evaluated the capabilities of radars flown on the European Remote Sensing Satellite (ERS), Japanese Earth Resources Satellite (JERS), and Radarsat spacecraft and an optical sensor enhanced thematic mapper plus (ETM+) on-board Landsat-7 to detect fire scars, logging, and insect damage in the boreal forest. Using images from each sensor individually and combined, an assessment of the utility of using these sensors was developed. Transformed divergence analysis revealed that Landsat ETM+ images were the single best data type for this purpose. However, the combined use of the three radar and optical sensors did improve the results of discriminating these disturbances.

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Держатели документа:
NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
Sci Syst & Applicat Inc, Lanham, MD 20706 USA
Univ Maryland, Dept Geog, College Pk, MD 20742 USA
VN Sukachev Inst Forest, Krasnoyarsk, Russia

Доп.точки доступа:
Ranson, K.J.; Kovacs, K...; Sun, G...; Kharuk, V.I.

[Text] / V. I. Kharuk [et al.] // Can. J. Remote Sens. - 2003. - Vol. 29, Is. 2. - P286-297. - Cited References: 15 . - 12. - ISSN 1712-7971РУБ Remote Sensing

Аннотация: Landsat data were used to examine the effect of large-scale insect outbreaks in the forests of southern Siberia. Two insect outbreaks were studied: Ket-Chulym, similar to1.5 million hectares of forest damaged between 1954 and 1957; and Priangar'e, similar to0.5-0.7 million hectares of forest damaged between 1994 and 1996. Landsat scenes from 1980 to 2000 were analyzed. The optimal Landsat channels combination for detecting damage classes were bands 2 (0.525-0.605 mum), 4 (0.750-0.900 mum), 5 (1.55-1.75 mum), and 6 (10.40-12.50 mum). The damage to the forests caused an increase inradiometric temperature (20.20 +/- 0.04degreesC for damaged forests versus 19.47 +/- 0.02degreesC for healthy forests). The following pattern of forest succession was observed in the outbreak areas: dead stands with dense grass and shrub communities, burn scars, grass and shrub formations, open woodlands, closed young and middle-age birch stands, mature birch stands, and mixed conifer-deciduous stands. Forest regeneration goes through long-term species-change successions, and the rate depends on the size of the outbreak area. On-ground mapping after the outbreak and later Landsat analysis showed that even 45 years after the Ket-Chulym outbreak the area of forests did not increase. In the Priangar'e area approximately 45% of damaged forests have recovered.

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Scopus

Держатели документа:
NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
VN Sukachev Inst Forest, Krasnoyarsk, Russia

Доп.точки доступа:
Kharuk, V.I.; Ranson, K.J.; Kuz'michev, V.V.; Im, S...

/ V. I. Kharuk, S. T. Im, V. V. Soldatov // J Mt. Sci. - 2020, DOI 10.1007/s11629-020-5989-3. - Cited References:38. - This study was supported by the Russian Foundation for Basic Research, project nos. 18-45-240003 and 18-05-00432. . - Article in press. - ISSN 1672-6316. - ISSN 1993-0321РУБ Environmental Sciences

Аннотация: Siberian silkmoth (SSM,Dendrolimus sibiricusTschetv.) is the most important defoliator of Siberian pine (Pinus sibiricaDu Tour) and fir (Abies sibiricaLedeb.) stands. Warming-induced SSM outbreaks are one of the major driving factors of successions within the taiga zone. It is suggested that climate change impacted the SSM range and life cycle. We analyzed the migration of alpine and northerly SSM outbreak boundaries in Siberia and the impact of the climate variables and topography on the outbreak dynamics. We used time-series scenes (multispectral data, and vegetation indexes EVI and NDII) in combination with field studies, climate variables, and GIS techniques. We found that SSM outbreaks in the area of alpine boundary shifted about 370 m uphill since the mid of 1950. The outbreak onset was promoted by increased dryness and active temperatures and decreased root zone moisture content in the spring-early summer period. The terrain topography strongly affected SSM outbreak onset and dynamics. Initially, the outbreak was located at the middle elevations on the gentle concave southeastern slopes, which are the favorable insect habitats between outbreaks. Then the outbreak expanded uphill and downhill, to steeper slopes, and both concave and convex terrains. Alongside with elevation range expansion, SSM surpassed its northern historical outbreak boundary: the potential outbreaks' boundary moved about 300 km northward. Climate warming contributes to SSM migration into former outbreak free conifer stands located in highlands and at northern latitudes.

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Держатели документа:
Russian Acad Sci, Fed Sci Ctr, Sukachev Inst Forest, Siberian Branch, Academgorodok 50-28, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Svobodny Str 79, Krasnoyarsk 660041, Russia.
Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsky Rabochy Str 31, Krasnoyarsk 660014, Russia.
Russian Ctr Forest Protect, Academgorodok 50A-2, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Kharuk, Viacheslav, I; Im, Sergei T.; Soldatov, Vladimir V.; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [18-45-240003, 18-05-00432]

/ A. Kovalev, V. Soukhovolsky // Forests. - 2021. - Vol. 12, Is. 9. - Ст. 1188, DOI 10.3390/f12091188. - Cited References:30. - This research was funded by RSF according to research project number 21-46-07005. . - ISSN 1999-4907РУБ Forestry

Аннотация: Methods for analyzing the resistance of large woodlands (such as Siberian taiga forests) to insect attacks based on remote sensing data are proposed. As an indicator of woodland's resistance, we suggest a function of normalized difference vegetative index (NDVI) susceptibility to changes in the land surface temperature (LST). Both NDVI and LST are obtained via the TERRA/AQUA satellite system. This indicator function was calculated as the spectral transfer function of the response in the integral equation connecting the changes in NDVI and LST. The analysis was carried out for two test sites, both of which are fir stands of the Krasnoyarsk region taiga zone. In the first case, the fir stands have suffered damage inflicted by Siberian silk moth caterpillars, Dendrolimus sibiricus Tschetv. since 2015. Adjacent intact fir forest areas were also analyzed. In the second case, the object of the study was a fir tree site damaged by Black Fir Sawyer Monochamus urussovii Fischer in 2013. It is demonstrated that the above-mentioned indicator function changed significantly 2-3 years prior to the pest population outbreaks, and therefore this indicator function can be used to assess the risk of pest population outbreak. Thereby, the proposed indicator compares favorably with vegetation cover estimates using NDVI, which register significant defoliation of tree stands and cannot be used for forecasting.

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Держатели документа:
Russian Acad Sci, Fed Res Ctr Krasnoyarsk Sci Ctr, Siberian Branch, Acad Gorodok 50, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Sukachev Inst Forest SB RAS, Fed Res Ctr, Siberian Branch,Krasnoyarsk Sci Ctr, Acad Gorodok 50-28, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Kovalev, Anton; Soukhovolsky, Vladislav; RSFRussian Science Foundation (RSF) [21-46-07005]

/ A. V. Kovalev, V. I. Voronin, V. A. Oskolkov, V. G. Sukhovolskiy // Contemp. Probl. Ecol. - 2021. - Vol. 14, Is. 7. - P717-722, DOI 10.1134/S199542552107009X. - Cited References:28. - The research was carried out with the financial support of the Russian Foundation for Basic Research (17-05-41012 RGO_a and 17-29-05074 ofi_m). . - ISSN 1995-4255. - ISSN 1995-4263РУБ Ecology

Аннотация: The potential for the assessment of the tree state based on remote-sensing data has been studied. The integral indicators of seasonal dynamics of the vegetation-index (NDVI) were used. The values for in 2003-2017 were compared for control (unharmed) and damaged test plots in the Khamar-Daban zone near the coast of Lake Baikal (Irkutsk oblast). It is shown that the use of the proposed integral indicators of the seasonal NDVI dynamics makes it possible to classify the test plots according to the tree state.

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Держатели документа:
Russian Acad Sci, Fed Res Ctr, Siberian Branch, Krasnoyarsk Sci Ctr, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Siberian Inst Plants Physiol & Biochem, Siberian Branch, Irkutsk 664033, Russia.
Russian Acad Sci, Forest Inst, Siberian Branch, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Kovalev, A., V; Voronin, V., I; Oskolkov, V. A.; Sukhovolskiy, V. G.; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [17-05-41012 RGO_a, 17-29-05074 ofi_m]