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

/ K. J. Ranson [et al.] // International Geoscience and Remote Sensing Symposium (IGARSS). - 2004. - Vol. 2: 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 (20 September 2004 through 24 September 2004, Anchorage, AK) Conference code: 64488. - P753-756 . -
Аннотация: NASA's ICESat Geoscience Laser Altimeter System (GLAS) was launched in January 2003 and collected lidar data during February and September of that year. Lidar is a laser altimeter that measures the distance from the instrument to the surface by measuring the time elapsed between the pulse emission and the reflected return. The returned signal may identify multiple returns originating from trees, buildings and other objects and permits the calculation of their height. Sampling the returns at discrete time intervals enables backscatter profiles to be constructed. Lidar data can provide estimates of other structural parameters such as biomass, stand volume and leaf area. This study used GLAS data acquired over our study sites in central Siberia to examine the signal as a source of information of forest stand characteristics. Example lidar profiles are presented and preliminary analysis is described. The results indicate that GLAS profile information may be useful for understanding MODIS landcover classes.

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Держатели документа:
NASA's Goddard Space Flight Center, Code 923, Greenbelt, MD, United States
Department of Geography, University of Maryland, College Park, United States
Sci. Systems and Applications, Inc., Seabrook, 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.

/ R. Nelson [et al.] // Remote Sens. Environ. - 2009. - Vol. 113, Is. 3. - P691-701, DOI 10.1016/j.rse.2008.11.010 . - ISSN 0034-4257
Аннотация: Geosciences Laser Altimeter System (GLAS) space LiDAR data are used to attribute a MODerate resolution Imaging Spectrometer (MODIS) 500В m land cover classification of a 10В° latitude by 12В° longitude study area in south-central Siberia. Timber volume estimates are generated for 16 forest classes, i.e., four forest cover types ? four canopy density classes, across this 811,414В km 2 area and compared with a ground-based regional volume estimate. Two regional GLAS/MODIS timber volume products, one considering only those pulses falling on slopes ? 10В° and one utilizing all GLAS pulses regardless of slope, are generated. Using a two-phase(GLAS-ground plot) sampling design, GLAS/MODIS volumes average 163.4 В± 11.8В m 3/ha across all 16 forest classes based on GLAS pulses on slopes ? 10В° and 171.9 В± 12.4В m 3/ha considering GLAS shots on all slopes. The increase in regional GLAS volume per-hectare estimates as a function of increasing slope most likely illustrate the effects of vertical waveform expansion due to the convolution of topography with the forest canopy response. A comparable, independent, ground-based estimate is 146В m 3/ha [Shepashenko, D., Shvidenko, A., and Nilsson, S. (1998). Phytomass (live biomass) and carbon of Siberian forests. Biomass and Bioenergy, 14, 21-31], a difference of 11.9% and 17.7% for GLAS shots on slopes ? 10В° and all GLAS shots regardless of slope, respectively. A ground-based estimate of total volume for the entire study area, 7.46 ? 10 9В m 3, is derived using Shepashenko et al.'s per-hectare volume estimate in conjunction with forest area derived from a 1990 forest map [Grasia, M.G. (ed.). (1990). Forest Map of USSR. Soyuzgiproleskhoz, Moscow, RU. Scale: 1:2,500,000]. The comparable GLAS/MODIS estimate is 7.38 ? 10 9В m 3, a difference of less than 1.1%. Results indicate that GLAS data can be used to attribute digital land cover maps to estimate forest resources over subcontinental areas encompassing hundreds of thousands of square kilometers.

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Держатели документа:
Biospheric Sciences Branch, NASA/Goddard Space Flight Center, Code 614.4, Greenbelt, MD 20771, United States
Department of Geography, University of Maryland, College Park, MD 20742, United States
Sukachev Forest Institute, Krasnoyarsk-36, Academgorodok, Russian Federation
Science Systems and Applications, Inc., Lanham, MD 20706, United States

Доп.точки доступа:
Nelson, R.; Ranson, K.J.; Sun, G.; Kimes, D.S.; Kharuk, V.; Montesano, P.

/ G. Bombieri [et al.] // Sci Rep. - 2019. - Vol. 9. - Ст. 8573, DOI 10.1038/s41598-019-44341-w. - Cited References:52. - We would like to thank Aleksander Trajce, Raido Kont, Gerard Baars, Ivan Kos and Dusan Toholj for providing helpful information on brown bears. G.B. was financially supported by a collaboration contract with the MUSE -Museo delle Scienze (Trento, Italy). V.P. was financially supported by (1) the Excellence Project CGL2017-82782-P financed by the Spanish Ministry of Science, Innovation and Universities, the Agencia Estatal de Investigacion (AEI) and the Fondo Europeo de Desarrollo Regional (FEDER, EU), and (2) Modalidad Grupos de Investigacion Consolidados, Principado de Asturias (IDI/2018/000151). M.M.D. was financially supported by the Spanish Ramon y Cajal grant RYC-2014-16263. N.S., C.B. and A. G. were partly supported by the National Centre for Research and Development (GLOBE POL-NOR/198352/85/2013) and the National Science Centre in Poland (DEC-2013/08/M/NZ9/00469; 2016/22/Z/NZ8/00121; 2017/25/N/NZ8/02861). E.R., J.N., A.F., N.S., and C.B. were supported by the Agencia Estatal de Investigacion from the Ministry of Economy, Industry and Competitiveness, Spain (project CGL2017-83045-R AEI/FEDER EU, co-financed with FEDER). Data from Russia were collected as part of the monitoring program of Russian nature reserves, Chronicles of Nature, and financially supported by the Academy of Finland grant 250444 and the Russian Science Foundation grant 18-14-00093. . - ISSN 2045-2322РУБ Multidisciplinary Sciences

Аннотация: The increasing trend of large carnivore attacks on humans not only raises human safety concerns but may also undermine large carnivore conservation efforts. Although rare, attacks by brown bears Ursus arctos are also on the rise and, although several studies have addressed this issue at local scales, information is lacking on a worldwide scale. Here, we investigated brown bear attacks (n = 664) on humans between 2000 and 2015 across most of the range inhabited by the species: North America (n = 183), Europe (n = 291), and East (n = 190). When the attacks occurred, half of the people were engaged in leisure activities and the main scenario was an encounter with a female with cubs. Attacks have increased significantly over time and were more frequent at high bear and low human population densities. There was no significant difference in the number of attacks between continents or between countries with different hunting practices. Understanding global patterns of bear attacks can help reduce dangerous encounters and, consequently, is crucial for informing wildlife managers and the public about appropriate measures to reduce this kind of conflicts in bear country.

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Oviedo Univ, UO CSIC PA, UMIB, Res Unit Biodivers, Campus Mieres, Mieres, Spain.
Museo Sci, Sez Zool Vertebrati, Corso Lavoro & Sci 3, I-38123 Trento, Italy.
CSIC, Estn Biol Donana, Dept Conservat Biol, Calle Americo Vespucio S-N, E-41092 Seville, Spain.
CSIC, Inst Pirena Ecol, Avda Nuestra Senora de la Victoria 16, Jaca 22700, Spain.
Polish Acad Sci, Inst Nat Conservat, Warsaw, Poland.
Duzce Univ, Fac Forestry, Dept Wildlife Ecol & Management, Duzce, Turkey.
Kondinskie Lakes Natl Pk, Sovietsky, Russia.
Russian Acad Sci, AN Severtsov Inst Ecol & Evolut, Moscow, Russia.
Russian Acad Sci, Ural Branch, Inst Plant & Anim Ecol, Moscow, Russia.
Sikhote Alin State Nat Biosphere Reserve, Pinezhsky, Russia.
Off Natl Chasse & Faune Sauvage, Besancon, France.
Environm Protect Agcy, LIFEURSUS Project, Voluntary, Romania.
Univ Roma La Sapienza, Dept Biol & Biotechnol, Rome, Italy.
Balkani Wildlife Soc, Sofia, Bulgaria.
Ivan Franko Natl Univ Lviv, Dept Zool, Lvov, Ukraine.
Univ Lisbon, Inst Agron, Ctr Appl Ecol Prof Baeta Neves InBIO, Lisbon, Portugal.
Tyumen State Univ, Tyumen, Russia.
Prov Autonoma Trento, Forest & Wildlife Serv, Trento, Italy.
Govt Carinthia, Nat Conservat, Carinthia, Austria.
Slovak Wildlife Soc, Liptovsky Hradok, Slovakia.
Finnish Wildlife Agcy, Helsinki, Finland.
Univ Zagreb, Dept Biol, Zagreb, Croatia.
Univ Tehran, Fac Nat Resources, Dept Environm Sci, POB 4111, Karaj 3158777871, Iran.
Altai State Nat Biosphere Reserve, Barnaul, Russia.
ARCTUROS, Civil Soc Protect & Management Wildlife & Nat Env, Aetos 53075, Florina, Greece.
Russian Acad Sci, Forest Res Inst, Karelian Res Ctr, Petrozavodsk, Russia.
Hingansky, Moscow, Russia.
Lviv Forestry & Wood Technol Univ, Lvov, Ukraine.
Nat Resources Inst, Rovaniemi, Finland.
Russian Res Inst Game Management & Fur Farming, Dept Anim Ecol, 79 Preobrazhenskaya Str, Kirov 610000, Russia.
Russian Acad Sci, Komi Sci Ctr, Inst Biol, Petrozavodsk, Russia.
State Nat Reserve Stolby, Krasnoyarsk, Russia.
Univ Ljubljana, Biotech Fac, Dept Forestry, Ljubljana, Slovenia.
Univ Helsinki, Helsinki, Finland.
Russian Acad Sci, Fed Ctr Integrated Arctic Res, Moscow, Russia.
Estonian Environm Agcy, Tallinn, Estonia.
Macedonian Ecol Soc, Skopje, Macedonia.
Univ Gottingen, Dept Wildlife Sci, Gottingen, Germany.
CALLISTO Wildlife & Nat Conservat Soc, Vasilikos, Greece.
Krasnoyarsk State Pedag Univ VP Astafieva, State Nat Reserve Tungusky, Krasnoyarsk, Russia.
Univ Jiroft, Fac Nat Resources, Dept Environm Sci, Jiroft, Iran.
Generalitat Catalonia, Terr & Sustainabil Dept, Barcelona, Spain.
Assoc Biol Divers Conservat, Focsani, Romania.
FSBI Zeya State Nat Reserve, Zeya, Russia.
State Nat Reserve Olekminsky, Filatova 6, Olekminsk 678100, Rebublic Sakha, Russia.
Pinezhsky State Nat Reserve, Pinezhsky, Russia.
Norwegian Environm Agcy, Wildlife Sect, Trondheim, Norway.
Russian Acad Sci, FEB RAS, Pacific Geog Inst, 7 Radio St, Vladivostok, Russia.
Far Eastern Fed Univ, 8 Sukhanova St, Vladivostok, Russia.
Russian Acad Sci, VN Sukachev Inst Forest SB, Krasnoyarsk, Russia.
Kyiv Zoo, Dept Sci Res & Int Collaborat, Kiev, Ukraine.
Natl Acad Sci, Inst Zool, Minsk, BELARUS.
Norwegian Inst Nat Res, Trondheim, Norway.
Norwegian Univ Life Sci, Fac Environm Sci & Nat Resource Management, As, Norway.
Poloniny Natl Pk, Snina, Poland.
State Nat Reserve Malaya Sosva, Sovetsky, Russia.
Hedmark Univ Coll, Fac Appl Ecol & Agr Sci, Elverum, Norway.
Tatra Natl Pk, Zakopane, Poland.

Доп.точки доступа:
Bombieri, G.; Naves, J.; Penteriani, V.; Selvas, N.; Fernandez-Gil, A.; Lopez-Bao, J., V; Ambarli, H.; Bautista, C.; Bespalova, T.; Bobrov, V.; Bolshakov, V.; Bondarchuk, S.; Camarra, J. J.; Chiriac, S.; Ciucci, P.; Dutsov, A.; Dykyy, I.; Fedriani, J. M.; Garcia-Rodriguez, A.; Garrote, P. J.; Gashev, S.; Groff, C.; Gutleb, B.; Haring, M.; Harkonen, S.; Huber, D.; Kaboli, M.; Kalinkin, Y.; Karamanlidis, A. A.; Karpin, V.; Kastrikin, V.; Khlyap, L.; Khoetsky, P.; Kojola, I.; Kozlow, Y.; Korolev, A.; Korytin, N.; Kozsheechkin, V.; Krofel, M.; Kurhinen, J.; Kuznetsova, I.; Larin, E.; Levykh, A.; Mamontov, V.; Mannil, P.; Melovski, D.; Mertzanis, Y.; Meydus, A.; Mohammadi, A.; Norberg, H.; Palazon, S.; Patrascu, L. M.; Pavlova, K.; Pedrini, P.; Quenette, P. Y.; Revilla, E.; Rigg, R.; Rozhkov, Y.; Russo, L. F.; Rykov, A.; Saburova, L.; Sahlen, V.; Saveljev, A. P.; Seryodkin, I., V; Shelekhov, A.; Shishikin, A.; Shkvyria, M.; Sidorovich, V.; Sopin, V.; Stoen, O.; Stofik, J.; Swenson, J. E.; Tirski, D.; Vasin, A.; Wabakken, P.; Yarushine, L.; Zwijacz-Kozica, T.; Delgado, M. M.; Lopez-Bao, Jose Vicente; Ambarli, Huseyin; Spanish Ministry of Science, Innovation and Universities [CGL2017-82782-P]; Agencia Estatal de Investigacion (AEI); Fondo Europeo de Desarrollo Regional (FEDER, EU); Modalidad Grupos de Investigacion Consolidados, Principado de Asturias [IDI/2018/000151]; Spanish Ramon y Cajal grant [RYC-2014-16263]; National Centre for Research and Development [GLOBE POL-NOR/198352/85/2013]; National Science Centre in Poland [DEC-2013/08/M/NZ9/00469, 2016/22/Z/NZ8/00121, 2017/25/N/NZ8/02861]; Agencia Estatal de Investigacion from the Ministry of Economy, Industry and Competitiveness, Spain [CGL2017-83045-R AEI/FEDER EU]; FEDER; Academy of Finland [250444]; Russian Science Foundation [18-14-00093]; MUSE -Museo delle Scienze (Trento, Italy)

/ 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.

/ V. I. Kuz'min [et al.] // Phys. Rev. B. - 2019. - Vol. 100, Is. 14. - Ст. 144429, DOI 10.1103/PhysRevB.100.144429. - Cited References:72. - The authors thank the Russian Scientific Foundation for the financial support under Grant No. 18-12-00022. . - ISSN 2469-9950. - ISSN 2469-9969РУБ Materials Science, Multidisciplinary + Physics, Applied + Physics,

Аннотация: To study non-Heisenberg effects in the vicinity of spin crossover in strongly correlated electron systems we derive an effective low-energy Hamiltonian for the two-band Kanamori model. It contains a Heisenberg high-spin term proportional to exchange constant as well as a low-spin term proportional to spin gap parameter epsilon(s). Using cluster mean field theory we obtain several non-Heisenberg effects. Near the critical value of spin gap epsilon(c)(s) there is a magnetic phase transition of first order. In the vicinity of epsilon(c)(s) in the paramagnetic phase we observe nontrivial behavior of the Curie constant in the paramagnetic susceptibility in the wide range of temperature. Reentrant temperature behavior of nearest-neighbor spin-spin correlations is observed at epsilon(s) epsilon(c)(s). Finally, the pressure-temperature magnetic phase diagram for ferroperriclase is obtained using the effective Hamiltonian.

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Fed Res Ctr KSC SB RAS, Kirensky Inst Phys, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Inst Engn Phys & Radio Elect, Krasnoyarsk 660041, Russia.
Fed Res Ctr KSC SB RAS, Sukhachov Inst Forest, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Kuz'min, V., I; Orlov, Yu S.; Zarubin, A. E.; Ovchinnikova, T. M.; Ovchinnikov, S. G.; Kuz'min, Valerii; Russian Scientific FoundationRussian Science Foundation (RSF) [18-12-00022]

/ V. G. Soukhovolsky, A. P. Savchenko, A. V. Kovalev [et al.] // Journal of Physics: Conference Series : IOP Publishing Ltd, 2021. - Vol. 1889: 2nd International Scientific Conference on Metrological Support of Innovative Technologies, ICMSIT II-2021 (3 March 2021 through 6 March 2021, ) Conference code: 169211, Is. 3. - Ст. 032036, DOI 10.1088/1742-6596/1889/3/032036 . -
Аннотация: Despite the keen interest in reindeer, a number of issues in its ecology are still poorly understood. Difficulties in assessing the state of deer populations are associated with technical difficulties, the need to track individuals in the wild. In addition, most of the year they are in motion, passing from 6.5 to 9 thousand km2. To assess and predict the state of populations, information is needed not only about the number, but also about the physiological state of individuals. This work is devoted to the development of indirect methods for assessing the state of reindeer based on the indicators of the migration activity of individual individuals. The use of collars with radio transmitters makes it possible to assess in detail the peculiarities of animal movement modes using numerous indicators describing the relationship between movement speed on different days. This opens up the possibility of using data to understand the state of individuals, which, ultimately, makes it possible to assess the dynamics of the abundance and stability of wild reindeer populations in general. © Published under licence by IOP Publishing Ltd.

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Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Institute of Ecology and Geography, Siberian Federal University, 79, Svobodnyi prospekt, Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
Soukhovolsky, V. G.; Savchenko, A. P.; Kovalev, A. V.; Savchenko, P. A.; Muravyov, A. N.