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

: материалы временных коллективов / М. Корец [и др.] // Дистанционные методы в лесоустройстве и учете лесов. Приборы и технологии. - Красноярск : ИЛ СО РАН, 2005. - С. 58-61 : ил. - Библиогр. в конце ст.
Аннотация: В работе исследована возможность использования данных спектрометра среднего разрешения (MERIS) спутника ENVISAT для оценки степени отпада древостоя на гарях в районе Нижнего Приангарья. Показано, что использование хлорофилльных индексов (NDVI, REP и MTCI) позволяет достоверно выделять до 5 градаций степени отпада древостоя. Сравнительный анализ рассмотренных индексов показал, что MTCI является наиболее простым и чувствительным индикатором для количественной оценки картирования степени нарушенности древостоя на гарях.

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок 50/28

Доп.точки доступа:
Корец, Михаил Анатольевич; Korets, Mikhail Anatol'yevich; Данилова, Ирина Валерьевна; Danilova, Irina Valer'yevna; Сухинин, Анатолий Иванович; Sukhinin, Anatoly Ivanovich; Бычков, Вячеслав Анатольевич; Bychkov Vyacheslav Anatol'yevich; Барталев, С.А.; Bartalyev S.A.

: absracts / M. A. Korets [и др.] // Enviromis. International conference on enviromental observations, modelling and information systems, Tomsk, Russia, July 1-8, 2006: program and abstracts. - 2006. - С. 31-32
Аннотация: The ENVISAT-MERIS satellite data has been tested to estimate forest burnt area disturbance on the Angara river test region. The aim of our study was to investigate the possibilities to estimate forest burnt severity using MERIS data and three different spectral indexes, such as NDVI, REP and MTCI.

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50, стр., 28

Доп.точки доступа:
Korets, Mikhail Anatol'yevich; Корец, Михаил Анатольевич; Danilova, Irina Valer'yevna; Данилова, Ирина Валерьевна; Sukhinin, Anatoly Ivanovich; Сухинин, Анатолий Иванович; Bartalev, S.A.; Барталев С.А.
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: материалы временных коллективов / M. A. Korets [и др.] // Environmental change in Siberia: earth observation, field studies and modelling. - Dordrecht et. al. : Springer, 2010. - С. 3-19. - Библиогр. в конце ст.
Аннотация: Envisat-MERIS and SPOT Vegetation satelitte data were tested for estimation of vegetation cover disturbance caused by fire and industrial pollution in central and northern Siberia test sites, respectively. MERIS data were used to assess forest disturbance levels on burned sites in Angara region. Chlorophyll indexes (REP and MTCI) were found to allow identifying up to five forest disturbance levels due to high space-borne sensor resolution and sensitivity to chlorophyll content of vegetation. The current vegetation condition was assessed using MTCI index in the northern (Norilsk) test region. The lowest index values calculated for the most severely disturbed vegetation near Norilsk were found to correlate with sulphur concentrations in larch and spruce needles. Another approach to estimating spatial and temporal trends of vegetation condition used the 1998-2005 SPOT-Vegetation satellite data. The relationships obtained between MTCI, NDVI values, and forest mortality were based upon to map the 1998-2005 forest degradation zone dynamics in the northern test site.

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Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50/28

Доп.точки доступа:
Korets, Mikhail Anatol'yevich; Корец, Михаил Анатольевич; Ryzhkova, Vera Alexandrovna; Рыжкова, Вера Александровна; Danilova, Irina Valer'yevna; Данилова, Ирина Валерьевна; Sukhinin, Anatoly Ivanovich; Сухинин, Анатолий Иванович; Bartalev, S.A.; Барталев С.А.

: материалы временных коллективов / V. V. Shishov, E. A. Vaganov // Environmental change in Siberia: earth observation, field studies and modelling. - Dordrecht et. al. : Springer, 2010. - С. 101-114. - Библиогр. в конце ст.
Аннотация: A major focus of the study described here is an attempt to reveal the nature of local and any widespread tree-growth responses to the recent warming seen in the industrial observations. Namely, this chapter didcusses spatial variation in the trends of radial tree-ring growth in Siberia and Far EAST DURING DIFFERENT PERIODS OF THE 18TH CENTURIES. That distribution of trends is compared with spatial NDVI trends and temperature changes in the northern hemisphere over the past 20 years.

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Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50/28

Доп.точки доступа:
Vaganov, Yevgeny Alexandrovich; Ваганов Евгений Александрович; Шишов, Владимир Валерьевич

[Text] / O. N. Zubareva [et al.] // Russ. J. Ecol. - 2003. - Vol. 34, Is. 6. - P375-380, DOI 10.1023/A:1027356316112. - Cited References: 20 . - 6. - ISSN 1067-4136РУБ Ecology

Аннотация: In this study, we have analyzed the degradation of pretundra forests and distinguished the levels of pollution using ground-based and remote-sensing data. The study region is located in the area exposed to emissions from the Norilsk Mining and Smelting Works. The main components of emissions are sulfur dioxide, nitrogen oxide, and heavy metals. Currently, the zone of damaged forests extends for more than 200 km. The comparison of the zones of degradation of pretundra vegetation distinguished in satellite images with the results of ground-based observations yielded high similarity coefficients (0.73-0.83) of the Kappa statistics. The zones of vegetation state were classified by NDVI values. The images from the NOAA/AVHRR satellite may be used for delimiting the zones of vegetation degradation by the proposed method.

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Держатели документа:
Russian Acad Sci, Siberian Div, Sukachev Inst Forestry, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Zubareva, O.N.; Skripal'shchikova, L.N.; Greshilova, N.V.; Kharuk, V.I.

[] : материалы временных коллективов / О. Н. Зубарева [и др.] // Экология. - 2003. - № 6. - С. 415-419. - Библиогр. в конце ст.
Аннотация: Проведен анализ деградации и выделены уровни загрязнения притундровых лесов на основе использования наземных и дистанционных данных. Исследуемый район находится в зоне действия эмиссий Норильского горно-металлургического комбината (основные выбросы - диоксид серы, окись азота, тяжелые металлы). В настоящее время зона поврежденных лесов распространяется на расстояние более 200 км. При сравнении выделенных по снимкам зон деградации притундровой растительности с результатами наземных обследований получены высокие коэффициенты сходства (0.73-0.83) Каппа-статистики. Классификация зон состояния растительности проводилась по значениям NDVI. Показана возможность использования снимков со спутника NOAA/AVHRR при выделении зон деградации растительности по предложенной методике.

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Институт леса им. В.Н. Сукачева СО РАН

Доп.точки доступа:
Зубарева, Ольга Николаевна; Zubareva, Ol'ga Nikolayevna; Скрипальщикова, Лариса Николаевна; Skripalshchikova, Larisa Nikolayevna; Грешилова, Н.В.; Greshilova N.V.; Харук, Вячеслав Иванович

[Текст] : материалы временных коллективов / С. Т. Им, В. И. Харук // Исследование земли из космоса. - 2013. - № 5. - С. 32-44. - Библиогр. в конце ст.
Аннотация: Исследована пространственно-временная динамика экотона горной лесотундры плато Путорана за последние 36 лет на основе космических съемок Landsat (1973, 2009 гг.), Hexagon (1976 г.), Quickbird (2005 г.) и Terra MODIS (2002–2009 гг.). Выделены три основные категории наземного покрова: редколесья с сомкнутостью >0.2; редины с сомкнутостью <0.2 и кустарники; фоновые территории. Площадь редколесий увеличилась на 60%. Этому способствовало увеличение сомкнутости в рединах. Наблюдаемое явление в основном отмечено вдоль долины реки. В зонах роста сомкнутости наблюдается увеличение вегетационного индекса NDVI на 0.14. Рост среднегодовой температуры в течение трех декад конца 20 в. способствовал продвижению древесной растительности по высоте не более чем на 15 м над уровнем моря, и появлению трех новых деревьев на гектар. С ростом высоты над уровнем моря деревья предпочитают локальные депрессии на юго-восточных склонах с крутизной до 30°.

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Держатели документа:
Институт леса им. В.Н. Сукачева СО РАН : 660036 Красноярск, Академгородок 50, стр. 28

Доп.точки доступа:
Им, Сергей Тхекдеевич; Харук, Вячеслав Иванович; Kharuk, Viacheslav I.; Im, Sergey Tkhekdyeyevich

[Text] / A. G. Bunn [et al.] // Environ. Res. Lett. - 2013. - Vol. 8, Is. 3. - Ст. 35034, DOI 10.1088/1748-9326/8/3/035034. - Cited References: 36. - We thank the Northern Eurasian Earth Science Partnership Initiative for support via a grant from NASA-LCLUC-NEESPI (NNX09AK58G) to MKH and AGB and from NSF 0612341 and NSF 1044417 to AGB. VVS was supported by the Fulbright Scholar Program. Figure 1 was produced by Randal Bernhardt of the WWU Geography Department. . - 8. - ISSN 1748-9326РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Аннотация: Different methods have been developed for measuring carbon stocks and fluxes in the northern high latitudes, ranging from intensively measured small plots to space-based methods that use reflectance data to drive production efficiency models. The field of dendroecology has used samples of tree growth from radial increments to quantify long-term variability in ecosystem productivity, but these have very limited spatial domains. Since the cambium material in tree cores is itself a product of photosynthesis in the canopy, it would be ideal to link these two approaches. We examine the associations between the normalized differenced vegetation index (NDVI) and tree growth using 19 pairs of tree-ring widths (TRW) and maximum latewood density (MXD) across much of Siberia. We find consistent correlations between NDVI and both measures of tree growth and no systematic difference between MXD and TRW. At the regional level we note strong correspondence between the first principal component of tree growth and NDVI for MXD and TRW in a temperature-limited bioregion, indicating that canopy reflectance and cambial production are broadly linked. Using a network of 21 TRW chronologies from south of Lake Baikal, we find a similarly strong regional correspondence with NDVI in a markedly drier region. We show that tree growth is dominated by variation at decadal and multidecadal time periods, which the satellite record is incapable of recording given its relatively short record.

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Держатели документа:
[Bunn, Andrew G.] Western Washington Univ, Dept Environm Sci, Huxley Coll, Bellingham, WA 98225 USA
[Hughes, Malcolm K.
Losleben, Mark] Univ Arizona, Tree Ring Res Lab, Tucson, AZ 85721 USA
[Kirdyanov, Alexander V.] VN Sukachev Inst Forest SB RAS, Krasnoyarsk, Russia
[Shishov, Vladimir V.
Vaganov, Eugene A.] Siberian Fed Univ, Krasnoyarsk, Russia
[Berner, Logan T.] Woods Hole Res Ctr, Falmouth, MA USA
[Oltchev, Alexander] RAS, Severtsov Inst Ecol & Evolut, Moscow 117901, Russia

Доп.точки доступа:
Bunn, A.G.; Hughes, M.K.; Kirdyanov, Alexander V.; Кирдянов, Александр Викторович; Losleben, M.; Shishov, V.V.; Berner, L.T.; Oltchev, A.; Vaganov, E.A.; Northern Eurasian Earth Science Partnership Initiative via NASA-LCLUC-NEESPI [NNX09AK58G]; NSF [0612341, 1044417]; Fulbright Scholar Program

/ M. Y. Chernetskiy, A. P. Shevyrnogov, N. F. Ovchinnikova // Proceedings of SPIE - The International Society for Optical Engineering. - 2011. - Vol. 8174: Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII (19 September 2011 through 21 September 2011, Prague) Conference code: 87191. - Ст. 1, DOI 10.1117/12.896748 . -
Аннотация: The time series of various parameters of satellite imagery (NDVI/EVI, temperature) during the growing season were considered in this work. This means that satellite images were considered not like a number of single scenes but like temporal sequences. Using time series enables estimating the integral phenological properties of vegetation. The basis of the developed technique is to use one of the methods of transformation of the multidimensional space in order to get the principal components. The technique is based on considering each dimension of the multidimensional space as satellite imagery for a specific date range. The technique automatically identifies spatial patterns of vegetation that are similar by phenology and growing conditions. Subsequent analysis allowed identification of the belonging of derived classes. Thus, the technique of revealing the spatial distribution of different dynamical vegetation patterns based on the phenological characteristics has been developed. The technique is based on a transformation of the multidimensional space of states of vegetation. Based on the developed technique, areas were obtained with similar interannual trends. В© 2011 SPIE.

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Держатели документа:
Institute of Biophysics of SB RAS, Krasnoyarsk 660036, Akademgorodok, Russian Federation
V.N. Sukachev Institute of Forest of SB RAS, Krasnoyarsk 660036, Akademgorodok, Russian Federation
Siberian Federal University, Kyrensky st., 26, Krasnoyarsk, 660074, Russian Federation

Доп.точки доступа:
Chernetskiy, M.Y.; Shevyrnogov, A.P.; Ovchinnikova, N.F.

/ K. J. Ranson [et al.] // International Geoscience and Remote Sensing Symposium (IGARSS). - 2003. - Vol. 5: 2003 IGARSS: Learning From Earth's Shapes and Colours (21 July 2003 through 25 July 2003, Toulouse) Conference code: 61850. - P3290-3292 . -
Аннотация: The Siberian boreal forest is considered a carbon sink but may become an important source of carbon dioxide if climatic warming predictions are correct. The forest is continually changing through various disturbance mechanisms such as insects, logging, mineral exploitation, and especially fires. Patterns of disturbance and forest recovery processes are important factors regulating carbon flux in this area. NASA's Terra MODIS provides useful information for assessing location of fires and post fire changes in forests. MODIS fire (MOD14), and NDVI (MOD13) products were used to examine fire occurrence and post fire variability in vegetation cover as indicated by NDVI. Results were interpreted for various post fire outcomes, such as decreased NDVI after fire, no change in NDVI after fire and positive NDVI change after fire. The fire frequency data were also evaluated in terms of proximity to population centers, and transportation networks.

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NASA, Goddard Space Flight Center, Code 923, Greenbelt, MD, United States
Department of Geography, University of Maryland, College Park, MD, United States
Sci. Systems and Applications, Inc., Lanham, MD, United States
V.N. Sukachev Institute of Forest, Academgorodok, Krasnoyarsk, Russian Federation

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

: научное издание / В.Г. Суховольский [и др.] // Лесоведение. - 2017. - № : 4. - С. 293-302 : табл., DOI 10.7868/S0024114817040052. - Библиогр. в конце ст. . - ISSN 0024-1148
   Перевод заглавия: Simulation of phenodynamics of deciduous tree species

УДК	630.181.22;630.181.65

Аннотация: В настоящей работе предложен новый подход к анализу сезонной фенодинамики древесных растений. Рассмотрена модель фенодинамики, основанная на представлении о фенологических процессах у деревьев в бореальной зоне как о процессах генерации энергии в течение вегетационного сезона и расходования части накопленной энергии на выживание древесных растений в период покоя. Предложено уравнение энергетического баланса, связывающее погодные и фенологические показатели и позволяющее связать фенологические и метеорологические показатели в течение всего года. Модель идентифицирована по данным наземных фенологических наблюдений за березой, осиной, лиственницей сибирской на территории заповедника “Столбы” (55°38? - 55°58? с.ш., 92°38? - 93°05? в.д.) с 1951 по 2012?г. и позволяет с хорошей точностью описать наблюдаемые фенособытия. Коэффициенты модельного уравнения можно рассматривать как показатели восприимчивости древесных растений к воздействию климата. Показано, что для расчетов по модели энергетического баланса можно использовать результаты дистанционных спутниковых измерений. Для определения фенодат в насаждениях листопадных древесных пород использовались ежедневные данные о величине NDVI (Normalized Difference Vegetation Index) изучаемых объектов, представленные спутником Modis/Terra.
Here we show the new approach to analysis of seasonal phenological dynamics of wooded plants. Our model was premised on representation of phenological processes of trees in boreal domain by a process of energy production during the vegetation season and partial release of accumulated energy for survival during resting. We introduced the energy balance equation combining weather and phenological indicators and linking them throughout a year. The model was parameterized using data of phenological studies of birch, aspen, and Siberian larch in Stolby Nature Sanctuary (55°38' - 55°58' N, 92°38' - 93°05' E) during 1951-2012 which allow high accuracy simulation of phenological stages. Coefficients of the equation may be considered as indicators of sensitivity of wooded plants to climate. We show that remotely sensed data on phenological dates may be used in calculations using the model of energy balance. Daily MODIS/Terra images of NDVI (Normalized Difference Vegetation Index) of the studied deciduous forests were used.

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Институт биофизики СО РАН
Институт леса им. В. Н. Сукачева СО РАН

Доп.точки доступа:
Суховольский, Владислав Григорьевич; Soukhovolsky Vladislav Grigor'yevich; Иванова, Ю.Д.; Ivanova Yu. D.; Овчинникова, Тамара Михайловна; Ovchinnikova, Tamara Mikhaylovna; Ботвич, И.Ю.; Botvich I. Yu.

/ E. I. Ponomarev, T. V. Ponomareva // Contemp. Probl. Ecol. - 2018. - Vol. 11, Is. 4. - P420-427, DOI 10.1134/S1995425518040066. - Cited References:26. - This work was supported by the Russian Foundation for Basic Research, projects nos. 17-04-00589 and 18-05-00432; the Government of Krasnoyarsk krai and the Foundation for Research and Technology Support of Krasnoyarsk krai, project no. 17-41-240475. . - ISSN 1995-4255. - ISSN 1995-4263РУБ Ecology

Аннотация: This article contains data on the dynamics of thermal fields in postfire areas obtained using remote satellite imagery. It is found that postfire areas of the permafrost zone have a background thermal field in the range of 10.780-11.280 mu m, which is caused by changes in the parameters of the stand, the ground cover, and the litter. The average surface temperature of postfire areas in larch forests is characterized by increasing up to Delta T = 7.2 +/- 1.3A degrees D relative to the control values in summer, which is 20-40% higher than the temperature of the control undisturbed areas. Temperature anomalies last for more than 10 years under conditions of the natural restoration of the ground cover. It is found that the rate of recovery of temperature anomalies is 2.5 times lower than the dynamics of the NDVI vegetative index. It is numerically evaluated that temperature anomalies on the soil surface could lead to an increase in the thawing depth of the soil layer by up to 20% more than the average statistical rate.

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Держатели документа:
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Ponomarev, E. I.; Ponomareva, T. V.; Russian Foundation for Basic Research [17-04-00589, 18-05-00432]; Government of Krasnoyarsk krai; Foundation for Research and Technology Support of Krasnoyarsk krai [17-41-240475]

/ M. A. Korets [et al.] // . - 2010. - Vol. 40. - P3-19, DOI 10.1007/978-90-481-8641-9_1 . -
Аннотация: Envisat-MERIS and SPOT Vegetation satellite data were tested for estimation of vegetation cover disturbances caused by fire and industrial pollution in central and northern Siberian test sites, respectively. MERIS data were used to assess forest disturbance levels on burned sites in Angara region. Chlorophyll indexes (REP and MTCI) were found to allow identifying up to five forest disturbance levels due to high space-borne sensor resolution and sensitivity to chlorophyll content of vegetation. A comparison of these chlorophyll indexes revealed that MTCI to show chlorophyll contents fairly precisely and to be useful for quantifying and mapping forest damage levels on burns. The current vegetation condition was assessed using MTCI index in the northern (Norilsk) test region. The lowest index values calculated for the most severely disturbed vegetation near Norilsk were found to correlate with sulphur concentrations in larch and spruce needles. Another approach to estimating spatial and temporal trends of vegetation condition used the 1998–2005 SPOT-Vegetation satellite data. The relationships obtained between MTCI, NDVI values, and forest mortality were based upon to map the1998–2005 forest degradation zone dynamics in the northern test site. © 2010, Springer Science+Business Media B.V.

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Держатели документа:
Sukachev Institute of Forest (SIF), 50/28, Akademgorodok street, Krasnoyarsk, 660036, Russian Federation
Space Research Institute (IKI), 84/32 Profsoyuznaya street, Moscow, 117997, Russian Federation

Доп.точки доступа:
Korets, M. A.; Ryzhkova, V. A.; Danilova, I. V.; Sukhinin, A. I.; Bartalev, S. A.

/ Y. Ivanova [et al.] // Forests. - 2019. - Vol. 10, Is. 7, DOI 10.3390/f10070561 . - ISSN 1999-4907
Аннотация: Vegetation indices derived from remote sensing measurements are commonly used to describe and monitor vegetation. However, the same plant community can have a different NDVI (normalized difference vegetation index) depending on weather conditions, and this complicates classification of plant communities. The present study develops methods of classifying the types of plant communities based on long-term NDVI data (MODIS/Aqua). The number of variables is reduced by introducing two integrated parameters of the NDVI seasonal series, facilitating classification of the meadow, steppe, and forest plant communities in Siberia using linear discriminant analysis. The quality of classification conducted by using the markers characterizing NDVI dynamics during 2003-2017 varies between 94% (forest and steppe) and 68% (meadow and forest). In addition to determining phenological markers, canonical correlations have been calculated between the time series of the proposed markers and the time series of monthly average air temperatures. Based on this, each pixel with a definite plant composition can be characterized by only four values of canonical correlation coefficients over the entire period analyzed. By using canonical correlations between NDVI and weather parameters and employing linear discriminant analysis, one can obtain a highly accurate classification of the study plant communities. © 2019 by the authors.

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Держатели документа:
Institute of Biophysics SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50-50, Krasnoyarsk, 660036, Russian Federation
Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50, Krasnoyarsk, 660036, Russian Federation
Institute of Computational Modeling SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50-44, Krasnoyarsk, 660036, Russian Federation
Sukachev Institute of Forest SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50-28, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Ivanova, Y.; Kovalev, A.; Yakubailik, O.; Soukhovolsky, V.

/ A. V. Dergunov [et al.] // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM : International Multidisciplinary Scientific Geoconference, 2019. - Vol. 19: 19th International Multidisciplinary Scientific Geoconference, SGEM 2019 (30 June 2019 through 6 July 2019, ) Conference code: 150486, Is. 2.2. - P517-524, DOI 10.5593/sgem2019/2.2/S10.063 . -
Аннотация: Response to anthropogenic disturbances, recorded according to remote sensing of the Earth, has a long-term manifestation not only in the spectral characteristics of the channels of visible and near infrared ranges of satellite imagery, but also in the study of the temperature field. The paper deals with the local excess temperature of the underlying surface in the areas of cutting the territory of the Angara region, compared with the background values identified by satellite data Landsat 5 and 8 for the seventeen-year period. Estimates of the relative difference in the temperature of the underlying surface of the cutting area in comparison with the average background values are obtained. To this end, a number of software products to automate the archiving and conversion of satellite information has been developed. These software products are designed for calculation of the radio-brightness temperature of the underlying surface of disturbed and undisturbed areas of forest vegetation in the pre-selected areas of the territory. They are also used to average the obtained data of radio-brightness temperature and to calculate the difference between the average values of the radio-brightness temperature of the underlying surface of the disturbed areas relative to the undisturbed, that is, the background. This approach can significantly reduce the processing time of a large amount of information and optimize the amount of data storage. Separately, the study area was analyzed according to the NDVI vegetation index. The data obtained demonstrate a high rate of recovery of grass cover and grass-shrub layer immediately after damage to forest vegetation. It is shown that during the considered period of time (17 years) the value of excess temperature decreases, which is determined by the processes of vegetation restoration, including stand on felling. It is established that the increased temperatures of the underlying surface in the place of cuttings are remained for at least 15 years, and the temperature increase over the background values in the conditions of the observed successional processes is not less than 10%. As a limiting factor in the restoration of the temperature background of the underlying surface, fires can act. © SGEM2019. All Rights Reserved.

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Держатели документа:
Federal Research Center Krasnoyarsk Science Center of the SB RAS, Krasnoyarsk, Russian Federation
Institute of Computational Modelling SB RAS, Krasnoyarsk, Russian Federation
Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Dergunov, A. V.; Krasnoshchokov, K. V.; Ponomarev, E. I.; Yakubailik, O. E.

/ K. Barrett, R. Baxter, E. Kukavskaya [et al.] // Remote Sens. Environ. - 2020. - Vol. 237. - Ст. 111539, DOI 10.1016/j.rse.2019.111539 . - ISSN 0034-4257
Аннотация: Wildfire disturbances effect changes in vegetation communities that in turn influence climate. Such changes in boreal forest ecosystems can persist over decadal time scales or longer. In the ecotone between boreal forest and steppe in the region southeast of Lake Baikal in southern Siberia, shifts between the two vegetation types may be precipitated by variations in site specific conditions, as well as disturbance characteristics such as fire frequency and severity. Warmer, drier conditions in the region have been associated with a decrease in fire return intervals and greater burn severity that may, in turn, drive conversion of forests to steppe vegetation at a greater rate than has occurred prior to the onset of warming and drying. Stand-replacing fires in Pinus sylvestris stands in southern Siberia may lead to recruitment failure postfire, particularly on southwest to west-facing slopes, which are more often dominated by grasses. This study uses a combination of field data and remotely sensed indices of vegetation and moisture to distinguish between recruitment pathways in southern Siberia, and to study the influence of factors related to soils, topography, fire severity and winter snow cover on these. We expected that recruitment success would be associated with lower burn severity (higher NBR), higher greenness (NDVI) and moisture (NDMI), and winter snow (NDSI) postfire. We also expected phenological characteristics to differ among recruitment paths. Prior to burning, our sites are broadly similar in terms of remotely sensed indices of moisture (NDMI), vegetation (NDVI), and winter fractional snow cover (NDSI), but recruitment failure sites are generally drier and less green postfire. Initial differences in greenness and moisture among sites characterized by abundant recruitment (AR), intermediate recruitment (IR) and recruitment failure (RF) become more pronounced over the initial decades postfire. The earliest separability of AR and RF sites using remotely sensed indices occurs in the winter months 3–4 years postfire, during which time NDSI is highest for AR sites and lowest for RF. Although seasonality was important with regard to distinguishing among AR, IR and RF index values, the timing of phenological events such as start and end of season did not differ significantly among the sites. © 2019 The Authors

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Держатели документа:
Centre for Landscape and Climate Research, School of Geography, Geology and Environment, University of Leicester, University RoadLE1 7RH, United Kingdom
Leicester Institute for Space and Earth Observation, University of Leicester, University RoadLE1 7RH, United Kingdom
Department of Biosciences, University of Durham, South Road, Durham, DH1 3LE, United Kingdom
V.N. Sukachev Institute of Forest of the Siberian Branch of the Russian Academy of Sciences, Separate Subdivision of the FRC KSC SB RAS 660036 Russia, 50/28 Akademgorodok, Krasnoyarsk, Russian Federation
The Branch of FBU VNIILM “Center of Forest Pyrology”, 42 Krupskaya, Krasnoyarsk, 660062, Russian Federation

Доп.точки доступа:
Barrett, K.; Baxter, R.; Kukavskaya, E.; Balzter, H.; Shvetsov, E.; Buryak, L.

/ N. Yakimov, E. Ponomarev // E3S Web of Conferences : EDP Sciences, 2020. - Vol. 149: 2019 Regional Problems of Earth Remote Sensing, RPERS 2019 (10 September 2019 through 13 September 2019, ) Conference code: 157574. - Ст. 03008, DOI 10.1051/e3sconf/202014903008 . -
Аннотация: The article represents the results of Terra, Aqua / MODIS, Landsat-8/OLI satellite data analysis for fire damaged plots in larch forests of Central Siberia. The analysis of averaged surface temperature (brightness temperature) and vegetation index (NDVI) was performed for post-fire circumstances. Estimates of the state and dynamics of fire-damaged vegetation cover were obtained on the basis of inter-seasonal variation of the NDVI index. It was found that post-fire dynamics of vegetation cover determines the surface temperature anomalies within the fire scar plots during at least five years after wildfire impact. It was instrumentally registered that the maximum excess of brightness temperature on post-fire areas can reach up to 11°C comparing to that of background areas under the same conditions. Such anomalies are determined by higher level of insolation due to partial or total tree mortality, as well as by decreasing of on-ground cover thickness after fire impact on grass and moss-lichen covers. During the first year after a fire in larch forests of Siberia, the maximum temperature anomalies of the underlying surface was recorded in the third decade of June. In the course of 2 - 5 years after burning, the maximum temperature anomalies shift to the second or even third decade of July within the phenological season. The suggested approach allows to assess the degree of fire impact on vegetation, as well as to predict changes in the active layer of permafrost soils, which may be a consequence of extra thermal flow at the surface in the circumstances of disturbed larch forests of Siberia. © The Authors, published by EDP Sciences 2020.

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Держатели документа:
Federal Research Center, Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, 660036, Russian Federation
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
Yakimov, N.; Ponomarev, E.

/ K. Barrett, R. Baxter, E. Kukavskaya [et al.] // Remote Sens. Environ. - 2020. - Vol. 237. - Ст. 111539, DOI 10.1016/j.rse.2019.111539. - Cited References:149. - This work was supported by the UK Natural Environment Research Council [grant number NE/N009495/1]. . - ISSN 0034-4257. - ISSN 1879-0704РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic

Аннотация: Wildfire disturbances effect changes in vegetation communities that in turn influence climate. Such changes in boreal forest ecosystems can persist over decadal time scales or longer. In the ecotone between boreal forest and steppe in the region southeast of Lake Baikal in southern Siberia, shifts between the two vegetation types may be precipitated by variations in site specific conditions, as well as disturbance characteristics such as fire frequency and severity. Warmer, drier conditions in the region have been associated with a decrease in fire return intervals and greater burn severity that may, in turn, drive conversion of forests to steppe vegetation at a greater rate than has occurred prior to the onset of warming and drying. Stand-replacing fires in Pinus sylvestris stands in southern Siberia may lead to recruitment failure postfire, particularly on southwest to west-facing slopes, which are more often dominated by grasses. This study uses a combination of field data and remotely sensed indices of vegetation and moisture to distinguish between recruitment pathways in southern Siberia, and to study the influence of factors related to soils, topography, fire severity and winter snow cover on these. We expected that recruitment success would be associated with lower burn severity (higher NBR), higher greenness (NDVI) and moisture (NDMI), and winter snow (NDSI) postfire. We also expected phenological characteristics to differ among recruitment paths. Prior to burning, our sites are broadly similar in terms of remotely sensed indices of moisture (NDMI), vegetation (NDVI), and winter fractional snow cover (NDSI), but recruitment failure sites are generally drier and less green postfire. Initial differences in greenness and moisture among sites characterized by abundant recruitment (AR), intermediate recruitment (IR) and recruitment failure (RF) become more pronounced over the initial decades postfire. The earliest separability of AR and RF sites using remotely sensed indices occurs in the winter months 3-4 years postfire, during which time NDSI is highest for AR sites and lowest for RF. Although seasonality was important with regard to distinguishing among AR, IR and RF index values, the timing of phenological events such as start and end of season did not differ significantly among the sites.

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Держатели документа:
Univ Leicester, Sch Geog Geol & Environm, Ctr Landscape & Climate Res, Univ Rd, Leicester LE1 7RH, Leics, England.
Univ Leicester, Leicester Inst Space & Earth Observat, Univ Rd, Leicester LE1 7RH, Leics, England.
Univ Durham, Dept Biosci, South Rd, Durham DH1 3LE, England.
Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, FRC KSC, 50-28 Akademgorodok, Krasnoyarsk 660036, Russia.
Ctr Forest Pyrol, Branch FBU VNIILM, 42 Krupskaya, Krasnoyarsk 660062, Russia.

Доп.точки доступа:
Barrett, Kirsten; Baxter, Robert; Kukavskaya, Elena; Balzter, Heiko; Shvetsov, Evgeny; Buryak, Ludmila; UK Natural Environment Research CouncilNERC Natural Environment Research Council [NE/N009495/1]

/ E. G. Shvetsov, E. I. Ponomarev // Contemp. Probl. Ecol. - 2020. - Vol. 13, Is. 1. - P104-112, DOI 10.1134/S1995425520010096. - Cited References:31. - This work was financially supported by the Russian Foundation for Basic Research, project no. 0356-2019-0009; the government of Krasnoyarsk krai; and the Krasnoyarsk Krai Foundation for Scientific and Engineering Science Work project no. 18-41-242003 "Modeling and Remote Sensing of Effects Induced by Thermal Anomalies of Underlying Surface in the Seasonally Thawed Layer of Soils of Cryolithozone in Siberia" and project no. 18-05-00432 "Impact of Climate Change on Forests of Siberia: Analysis of Forest Area Fire Frequency, Increment for Accretion in Conifers, and Tree-Stand Vital State and Productivity." . - ISSN 1995-4255. - ISSN 1995-4263РУБ Ecology

Аннотация: This work considers the dynamics of vegetation indices and surface temperature of postfire areas of different ages in larch forests of the permafrost zone of Siberia obtained using long-term Terra/MODIS satellite imagery. Landsat/ETM and OLI satellite images were preliminarily classified to analyze the degree of pyrogenic disturbance in the sample of postfire sites. An increase in the average temperature of the underlying surface of the postpyrogenic areas by 3.9-4.6 degrees C was recorded, depending on the degree of disturbance of the litter, which is 15-30% of the average background values. Compared with background values, the deviation (decrease) in the next postfire year was 22% for the NDVI and 72% for the NBR index. Recovery of the NDVI to background values required 7-10 years after the fire. The recovery period for the surface temperature and the NBR index are significantly higher, that is, 15 years and more. Moreover, for 15-20 years after the fire, the temperature anomalies of the underlying surface remain significant.

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Держатели документа:
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Shvetsov, E. G.; Ponomarev, E. I.; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [0356-2019-0009]; government of Krasnoyarsk krai; Krasnoyarsk Krai Foundation for Scientific and Engineering Science Work project [18-41-242003, 18-05-00432]

/ E. Ponomarev, O. Masyagina, K. Litvintsev [et al.] // Forests. - 2020. - Vol. 11, Is. 8. - Ст. 790, DOI 10.3390/f11080790. - Cited References:57. - This work was performed using the subject of a project no. 0356-2019-0009, research was funded by the Russian Foundation for Basic Research (RFBR) and Government of the Krasnoyarsk krai, and Krasnoyarsk krai Foundation for Research and Development Support, 18-41-242003 "Modeling and satellite monitoring of effects from thermal anomalies of the underlying surface in the STL of the permafrost zone of Siberia". . - ISSN 1999-4907РУБ Forestry

Аннотация: We examined and simulated the consequences of the degradation of the litter and the moss-lichen layer after fire impact, which could affect the seasonal temperature of the soil and the depth of the seasonally thawed layer (STL) in the permafrost zone. According to the analysis of satellite imagery for 2000 to 2019, the fire-disturbed area in the region of interest amounted to 20%. The main aims of the study included quantitative evaluation of the variation range of summer temperature anomalies at fire-damaged plots, summarizing the statistical norm of the STL depending on natural conditions, and numerical simulation of the response of the STL. Using Terra and Aqua/MODIS imagery, we analyzed surface temperature (in bands of lambda = 10.780-11.280 and 11.770-12.270 mu m) coupled with the normalized difference vegetation index (NDVI) for non-disturbed and fire-damaged sites under the same natural conditions of larch forests in Central Siberia. Heat transfer, freezing and thawing processes were numerically simulated for two extreme cases of soil conditions: dry soil and water-saturated soil. The model was also applied to soil with non-homogeneous water content. As input parameters, we used data on the properties of cryogenic soils collected in larch forests (Larix gmelinii) in the flat-mountainous taiga region of the Evenkia (Central Siberia). For post-fire plots, surface temperature anomalies observed during summer months remained significant for more than 15-20 years after fire impact, while the NDVI values were restored to the statistical norm within 7-10 years of the fire. According to the results of numerical simulation, the thickness of the STL could show a 30-50% increase compared to the statistical norm. In the first approximation, we showed the annual soil temperature dynamics at various depths in disturbed and non-disturbed plots.

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Держатели документа:
Russian Acad Sci, Fed Res Ctr Krasnoyarsk Sci Ctr, Siberian Branch, VN Sukachev Inst Forest SB RAS, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Inst Engn Phys & Radioelect, Inst Ecol & Geog, Krasnoyarsk 660041, Russia.
Russian Acad Sci, Kutateladze Inst Thermophys, Siberian Branch, Novosibirsk 630090, Russia.

Доп.точки доступа:
Ponomarev, Evgenii; Masyagina, Oxana; Litvintsev, Kirill; Ponomareva, Tatiana; Shvetsov, Evgeny; Finnikov, Konstantin; Evgenii, Ponomarev; Russian Foundation for Basic Research (RFBR)Russian Foundation for Basic Research (RFBR) [0356-2019-0009]; Government of the Krasnoyarsk krai; Krasnoyarsk krai Foundation for Research and Development Support [18-41-242003]