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

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Найдено документов в текущей БД: 38

    Forest-ecological consequences of fires in light conifer forests of Transbaikalia
[Text] / M. D. Yevdokimenko // Russ. J. Ecol. - 2011. - Vol. 42, Is. 3. - P205-210, DOI 10.1134/S1067413611030052. - Cited References: 17. - This study was supported by the Russian Foundation for Basic research, project no. 08-04-00027. . - 6. - ISSN 1067-4136
РУБ Ecology

Кл.слова (ненормированные):
pine forests -- larch forests -- fires -- die-off -- recruitment -- hydrothermal regime -- precipitation runoff -- digression

Аннотация: Consideration is given to the results of studies on the postfire dynamics of Transbaikal forests, which are formed under conditions of highly arid climate and extreme pyrological regime. Data are presented on tree die-off and recruitment in naturally burned forests and in test stands affected by creeping fires differing in intensity. The hydrothermal regime of soils, precipitation runoff, and its multifactor models are discussed. It is shown that fires aggravate moisture deficiency on mountain slopes, impair the productivity of tree stands, and cause their digression. The statistics of forest fires and the risk of lightning fires are analyzed.

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Держатели документа:
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Yevdokimenko, M.D.

    A variogram-based analysis of insect wing images to detect outbreaks: a case study of a pine looper (Bupalus piniarius L.) population
[Text] / O. P. Sekretenko [et al.] ; ed.: A Stein, E Pebesma, Pebesma, // SPATIAL STATISTICS 2011: MAPPING GLOBAL CHANGE. Ser. Procedia Environmental Sciences : ELSEVIER SCIENCE BV, 2011. - Vol. 7: 1st International Conference on Spatial Statistics - Mapping Global Change (MAR 23-25, 2011, Enschede, NETHERLANDS). - P230-233, DOI 10.1016/j.proenv.2011.07.040. - Cited References: 4 . - 4. - ISBN 1878-0296
РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Кл.слова (ненормированные):
Geostatistics -- population dynamics -- forest ecosystems -- monitoring of insects' outbreaks

Аннотация: The coloration of forest insects changes as their population density increases or decreases. Using the geostatistical method allowed us to determine the population dynamics' phase of the pine looper from images of insects' wings. The color and pattern of the insects' wings can be successfully used as diagnostic features in determining the phase of the population dynamics. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Spatial Statistics 2011

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Scopus

Держатели документа:
[Sekretenko, O. P.
Soukhovolsky, V. G.] Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Sekretenko, O.P.; Palnikova, E.N.; Kovalev, A.V.; Soukhovolsky, V.G.; Stein, A \ed.\; Pebesma, E \ed.\; Pebesma, \ed.\

    Factors influencing the spatial pattern of the ash content of bog birch forest litter
[Text] / O. P. Sekretenko [et al.] ; ed.: A Stein, E Pebesma, Pebesma, // 1ST CONFERENCE ON SPATIAL STATISTICS 2011 - MAPPING GLOBAL CHANGE. Ser. Procedia Environmental Sciences : ELSEVIER SCIENCE BV, 2011. - Vol. 3: 1st International Conference on Spatial Statistics - Mapping Global Change (MAR 23-25, 2011, Enschede, NETHERLANDS). - P99-104, DOI 10.1016/j.proenv.2011.02.018. - Cited References: 6 . - 6. - ISBN 1878-0296
РУБ Environmental Sciences + Geography, Physical

Кл.слова (ненормированные):
Forest litter -- ash stock -- western Siberia -- spatial statistics -- geostatistics -- Betula pubescens Ehrh

Аннотация: The ash stock in forest litter influences the fertility of forest soil and should be studied. Litter samples were taken at 70 locations within a 270x60 metre transect in 2004-2007 in the bog birch forest, western Siberia. A geostatistical model with external trend was applied to describe the spatial pattern of the ash mass (kg m(-2)) on the forest floor. Hydrological factors, used as explanatory variables in an external trend equation, account for the main portion of spatial variation (83% and 49% in the years of, respectively, low and high spring flooding). Covariance structure of the data, connected with patterns of vegetation and silt deposits, explains the smaller portion of spatial variation (12% and 38%). The unexplained variation is minor (5% and 13%). (c) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Spatial Statistics 2011

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Держатели документа:
[Sekretenko, O. P.
Efremova, T. T.
Avrova, A. F.
Efremov, S. P.] Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Sekretenko, O.P.; Efremova, T.T.; Avrova, A.F.; Efremov, S.P.; Stein, A \ed.\; Pebesma, E \ed.\; Pebesma, \ed.\

    The frequency of forest fires in Scots pine stands of Tuva, Russia
[Text] / G. A. Ivanova [et al.] // Environ. Res. Lett. - 2010. - Vol. 5, Is. 1. - Ст. 15002, DOI 10.1088/1748-9326/5/1/015002. - Cited References: 35. - The authors gratefully acknowledge financial support for this research from the National Aeronautics and Space Administration (NASA), the Land Cover Land Use Change (LCLUC) Science Program, the Russian Academy of Sciences, Siberian Branch, and the Russian Fund of Fundamental Investigation. We would also like to acknowledge the skillful scientific translation services provided by Irina Savkina. . - 7. - ISSN 1748-9326
РУБ Environmental Sciences + Meteorology & Atmospheric Sciences
Рубрики:
BOREAL FOREST
   CARBON

   HISTORY

Кл.слова (ненормированные):
dendrochronology -- forest fires -- Scots pine (Pinus sylvestris) -- Tuva -- Siberia -- Russia

Аннотация: Forest fires resulting from long periods of drought cause extensive forest ecosystem destruction and can impact on the carbon balance and air quality and feed back to the climate system, regionally and globally. Past fire frequency is reconstructed for Tuvan Scots pine stands using dendrochronology and statistics. Central Tuvan Scots pine ( Pinus sylvestris) stands are subject to annual fire regimes; however high intensity fires are rare but they are responsible for most of the damage. Low, medium, and high severity fires have shaped the multi-story Scots pine communities, locally and regionally. Fire type and frequency are directly related to weather and climate and are also dependent on anthropogenic influences. The primary dry period, which promotes fire ignition and spread, in Tuva occurs in April and May. In some years, the precipitation deficit combined with high air temperatures induces long periods of drought. Unlike the typical surface fire regime, forest fires that burn during these extreme droughts often become crown fires that result in substantial forest damage and carbon release. The mean fire interval (MFI) is found to be 10.4 years in Balgazyn stands, and the landscape-scale MFI is 22.4 years. High severity, stand-replacing crown fires have a longer MFI. The warmer and dryer weather that is predicted by global climate models is evident in Tuva, and we believe that these changes in weather and climate have resulted in increased fire intensity and severity, rather than fire frequency in the Tuvan region.

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Держатели документа:
[Ivanova, G. A.
Kukavskaya, E. A.] Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia
[Ivanov, V. A.] Siberian State Technol Univ, Krasnoyarsk 660049, Russia
[Soja, A. J.] NASA, Langley Res Ctr, Natl Inst Aerosp, Hampton, VA 23681 USA

Доп.точки доступа:
Ivanova, G.A.; Ivanov, V.A.; Kukavskaya, E.A.; Soja, A.J.

    The assessment of the organic matter state in drained peat soils as related to the environmental conditions by the methods of multidimensional statistics
[Text] / T. T. Efremova, T. M. Ovchinnikova // Eurasian Soil Sci. - 2007. - Vol. 40, Is. 12. - P1298-1307, DOI 10.1134/S106422930712006X. - Cited References: 11 . - 10. - ISSN 1064-2293
РУБ Soil Science

Аннотация: The specificity of the group and fraction composition of the organic matter in peat soils drained to a different extent that have developed for a 20-to 25-year period of hydro-and forest amelioration was characterized using the methods of multidimensional statistics. The differences in the organic matter of the soils studied are mainly determined by the contents of humic and fulvic acid of fractions 1 and 3, as well as of hemicelluloses and cellulose. The degree and depth of the humification are inversely related to the soil moisture and directly related to the peroxidase activity.

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Держатели документа:
[Efremova, T. T.
Ovchinnikova, T. M.] Russian Acad Sci, Sukachev Inst Forestry, Siberian Branch, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Efremova, T.T.; Ovchinnikova, T.M.

    Genetic diversity and differentiation of Gmelin larch Larix gmelinii populations from Evenkia (Central Siberia)
[Text] / A. Y. Larionova, N. V. Yakhneva, A. P. Abaimov // Russ. J. Genet. - 2004. - Vol. 40, Is. 10. - P1127-1133, DOI 10.1023/B:RUGE.0000044756.55722.d8. - Cited References: 32 . - 7. - ISSN 1022-7954
РУБ Genetics & Heredity

Аннотация: Within- and among-population diversity of Gmelin larch Larix gmelinii (Rupr.) Rupr. from Evenkia was inferred from data on 17 genes determining allozyme diversity of ten enzymes. More than 50% of the genes proved to be polymorphic. On average, each tree was heterozygous at 9.2% genes. Heterozygosity expected from the Hardy-Weinberg proportions was higher, 12.5%. A deficit of heterozygous genotypes was observed in all populations under study and attributed to inbreeding. With Wright's F statistics, average individual inbreeding was estimated at 26.6% relative to the population (F-IS) and at 27.8% relative to the species (F-IT). The greatest deficit of heterozygosity was observed for the youngest population II. Within- population variation accounted for more than 98% of the total variation, while the contribution of among-population variation was 1.66%. Genetic distance between populations varied from 0.0025 to 0.0042, averaging 0.0035.

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

Доп.точки доступа:
Larionova, A.Y.; Yakhneva, N.V.; Abaimov, A.P.

    AVHRR-derived fire frequency, distribution and area burned in Siberia
[Text] / A. J. Soja [et al.] // Int. J. Remote Sens. - 2004. - Vol. 25, Is. 10. - P1939-1960, DOI 10.1080/01431160310001609725. - Cited References: 70 . - 22. - ISSN 0143-1161
РУБ Remote Sensing + Imaging Science & Photographic Technology

Аннотация: Advanced Very High Resolution Radiometer (AVHRR) data are used to produce an active-fire detection product for the fire season in 1999 and 2000 and an area burned product for 1996-2000. The distribution of fire is presented ranging from the Urals in the west to the eastern coast and from the semi-dry steppe regions in the south through the taiga in the north. A temporal and spatial pattern of fire is observed migrating from north of 40degrees N latitude in April to north of 60degrees N by mid-July. Fire is widespread in August, spanning the entire geographic range. In contrast to these patterns, no similar east-west migrations are discernible from these data. Peak active-fire counts are detected in early May between 50 and 55degrees N latitude in both 1999 and 2000. Wildfire in Russia is highly variable, both annually and interannually, with differences in reported area burned ranging from 0.234 to 13.3 million hectares per year. Comparing Russian fire statistics to satellite-based data from this investigation and previous works, we find area burned in Russia may be commonly underestimated by an average of 213%. Underestimates of this magnitude could strongly affect emissions estimates and climate change research.

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Держатели документа:
Univ Virginia, Dept Environm Sci, Charlottesville, VA 22903 USA
Russian Acad Sci, Sukachev Forest Inst, Krasnoyarsk 660036, Russia
Terra Syst Res, Williamsburg, VA 23185 USA
NASA, Langley Res Ctr, Hampton, VA 23681 USA

Доп.точки доступа:
Soja, A.J.; Sukhinin, A.I.; Cahoon, D.R.; Shugart, H.H.; Stackhouse, P.W.

    Zoning of landscapes exposed to technogenic emissions from the Norilsk Mining and Smelting Works
[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 1067-4136
РУБ Ecology

Кл.слова (ненормированные):
biomonitoring -- remote-sensing monitoring -- pretundra vegetation -- Kappa statistics

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.

    Reconstruction and prediction of climate and vegetation change in the Holocene in the Altai-Sayan mountains, Central Asia
[Text] / N. M. Tchebakova, T. A. Blyakharchuk, E. I. Parfenova // Environ. Res. Lett. - 2009. - Vol. 4, Is. 4. - Ст. 45025, DOI 10.1088/1748-9326/4/4/045025. - Cited References: 72. - This study was supported by the Russian Foundation for Basic Research (Grant 06-05-65127). The authors are grateful to Jane Bradford, Gerald Rehfeldt and Robert Monserud for helpful review comments. The authors greatly appreciate the comments of two reviewers which significantly improved the manuscript. . - 11. - ISSN 1748-9326
РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Аннотация: Two quantitative methods were used to reconstruct paleoenvironments and vegetation in the Altai-Sayan mountains, Central Asia, during the Holocene. The 'biomization' method of Prentice et al (1996 Clim. Dyn. 12 185-96), applied to the surface pollen record, worked fairly well in the reconstructions of current vegetation. Applying this method to fossil pollen data, we reconstructed site paleovegetation. Our montane bioclimatic model, MontBioCliM, was used inversely to convert site paleovegetation into site paleoclimates. The differences between site paleo and current climates served as past climate change scenarios. The climatic anomalies for 2020, 2050, and 2080 derived from HadCM3 A1FI and B1 of the Hadley Centre, UK, served as climate change scenarios in the 21st century. MontBioCliM was applied directly to all climate scenarios through the Holocene to map past and future mountain vegetation over the Altai-Sayan mountains. Our results suggest that the early Holocene ca 10 000 BP was cold and dry; the period between 8000 and 5300 BP was warm and moist; and the time slice ca 3200 BP was cooler and drier than the present. Using kappa statistics, we showed that the vegetation at 8000 BP and 5300 BP was similar, as was the vegetation at 10 000 BP and 3200 BP, while future vegetation was predicted to be dissimilar to any of the paleovegetation reconstructions. The mid-Holocene is frequently hypothesized to be an analog of future climate warming; however, being known as warm and moist in Siberia, the mid-Holocene climate would likely impact terrestrial ecosystems differently from the projected warm and dry mid-century climate.

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Держатели документа:
[Tchebakova, N. M.
Parfenova, E. I.] Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forests, Krasnoyarsk 660036, Russia
[Blyakharchuk, T. A.] Russian Acad Sci, Siberian Branch, Inst Monitoring Climat & Ecol Syst, Tomsk 643055, Russia

Доп.точки доступа:
Tchebakova, N.M.; Blyakharchuk, T.A.; Parfenova, E.I.; Russian Foundation for Basic Research [06-05-65127]

    Tree-ring width and density data around the Northern Hemisphere: Part 2, spatio-temporal variability and associated climate patterns
[Text] / K. R. Briffa [et al.] // Holocene. - 2002. - Vol. 12, Is. 6. - P759-789, DOI 10.1191/0959683602hl588rp. - Cited References: 33 . - 31. - ISSN 0959-6836
РУБ Geography, Physical + Geosciences, Multidisciplinary

Аннотация: Pattern, of summer temperature over the Northern Hemisphere. obtained from a calibration of a tree-ring network, are presented for every year from 1600 to 1877. The network of tree-ring density chronologies is shown to exhibit spatially coherent modes of variability. These modes closely match summer half-year temperature variations, in terms of similar spatial patterns and similar temporal evolution during the instrumental period, They can, therefore. be considered to be proxies for the temperature patterns, and time series for the eight most dominant patterns are presented back to the late seventeenth century. The first pattern represents spatially coherent alarming or cooling and it appears to respond to climate forcings. especially volcanic eruptions. Most other patterns appear to be related to atmospheric pressure anomalies and them can be partially explained by heat advection associated with anomalous atmospheric circulation. This provides the potential for reconstructing past variations in atmospheric circulation for the surinner half-year. To investigate this potential modes of summer-pressure variability are defined. and an attempt is made to reconstruct them using principal components regression. Poor verification statistics and high sensitivity to the design of the regression procedure provide little confidence in the reconstructions presented. which are regarded as being preliminary only. A repeat study using instrumental temperature predictors shoals that the poor performance is attributable mainly to the bleakness of the relationship between air temperature over land and atmospheric circulation during summer: though a relationship exists. it is not strong enough to field reliable regression models when only a relatively short overlap period (55 years in this studs) exists for calibration and verification. Further attempts to reconstruct large-scale atmospheric circulation patterns that include precipitation-sensitive networks of tree-ring data are likely to produce improved results.

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Держатели документа:
Univ E Anglia, Climat Res Unit, Norwich NR4 7TJ, Norfolk, England
Swiss Fed Inst Forest Snow & Landscape Res, CH-8903 Birmensdorf, Switzerland
Russian Acad Sci, Ural Div, Inst Plant & Anim Ecol, Ekaterinburg 620219, Russia
Russian Acad Sci, Siberian Div, Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Briffa, K.R.; Osborn, T.J.; Schweingruber, F.H.; Jones, P.D.; Shiyatov, S.G.; Vaganov, E.A.

    Productivity of forests in the Eurosiberian boreal region and their potential to act as a carbon sink - a synthesis
[Text] / E. D. Schulze [et al.] // Glob. Change Biol. - 1999. - Vol. 5, Is. 6. - P703-722, DOI 10.1046/j.1365-2486.1999.00266.x. - Cited References: 93 . - 20. - ISSN 1354-1013
РУБ Biodiversity Conservation + Ecology + Environmental Sciences

Аннотация: Based on review and original data, this synthesis investigates carbon pools and fluxes of Siberian and European forests (600 and 300 million ha, respectively). We examine the productivity of ecosystems, expressed as positive rate when the amount of carbon in the ecosystem increases, while (following micrometeorological convention) downward fluxes from the atmosphere to the vegetation (NEE=Net Ecosystem Exchange) are expressed as negative numbers. Productivity parameters are Net Primary Productivity (NPP=whole plant growth), Net Ecosystem Productivity (NEP = CO2 assimilation minus ecosystem respiration), and Net Biome Productivity (NBP=NEP minus carbon losses through disturbances bypassing respiration, e.g. by fire and logging). Based on chronosequence studies and national forestry statistics we estimate a low average NPP for boreal forests in Siberia: 123 gC m(-2) y(-1). This contrasts with a similar calculation for Europe which suggests a much higher average NPP of 460 gC m(-2) y(-1) for the forests there. Despite a smaller area, European forests have a higher total NPP than Siberia (1.2-1.6 vs. 0.6-0.9 x 10(15) gC region(-1) y(-1)). This arises as a consequence of differences in growing season length, climate and nutrition. For a chronosequence of Pinus sylvestris stands studied in central Siberia during summer, NEE was most negative in a 67-y old stand regenerating after fire (-192 mmol m(-2) d(-1)) which is close to NEE in a cultivated forest of Germany (-210 mmol m(-2) d(-1)). Considerable net ecosystem CO2-uptake was also measured in Siberia in 200- and 215-y old stands (NEE:174 and - 63 mmol m(-2) d(-1)) while NEP of 7- and 13-y old logging areas were close to the ecosystem compensation point. Two Siberian bogs and a bog in European Russia were also significant carbon sinks (-102 to - 104 mmol m(-2) d(-1)). Integrated over a growing season (June to September) we measured a total growing season NEE of -14 mol m(-2) summer(-1) (-168 gC m(-2) summer(-1)) in a 200-y Siberian pine stand and -5 mol m(-2) summer(-1) (-60 gC m(-2) summer(-1)) in Siberian and European Russian bogs. By contrast, over the same period, a spruce forest in European Russia was a carbon source to the atmosphere of (NEE: + 7 mol m(-2) summer(-1) = + 84 gC m(-2) summer(-1)). Two years after a windthrow in European Russia, with all trees being uplifted and few successional species, lost 16 mol C m(-2) to the atmosphere over a 3-month in summer, compared to the cumulative NEE over a growing season in a German forest of -15.5 mol m(-2) summer(-1) (-186 gC m(-2) summer(-1); European flux network annual averaged - 205 gC m(-2) y(-1)). Differences in CO2-exchange rates coincided with differences in the Bowen ratio, with logging areas partitioning most incoming radiation into sensible heat whereas bogs partitioned most into evaporation (latent heat). Effects of these different surface energy exchanges on local climate (convective storms and fires) and comparisons with the Canadian BOREAS experiment are discussed. Following a classification of disturbances and their effects on ecosystem carbon balances, fire and logging are discussed as the main processes causing carbon losses that bypass heterotrophic respiration in Siberia. Following two approaches, NBP was estimated to be only about 13-16 mmol m(-2) y(-1) for Siberia. It may reach 67 mmol m(-2) y(-1) in North America, and about 140-400 mmol m(-2) y(-1) in Scandinavia. We conclude that fire speeds up the carbon cycle, but that it results also in long-term carbon sequestration by charcoal formation. For at least 14 years after logging, regrowth forests remain net sources of CO2 to the atmosphere. This has important implications regarding the effects of Siberian forest management on atmospheric concentrations. For many years after logging has taken place, regrowth forests remain weaker sinks for atmospheric CO2 than are nearby old-growth forests.

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Держатели документа:
Max Planck Inst Biogeochem, D-07701 Jena, Germany
Landcare Res, Lincoln, New Zealand
Russian Acad Sci, Inst Evolut & Ecol, Moscow 117071, Russia
Univ Tubingen, Inst Bot, D-72076 Tubingen, Germany
Comenius Univ, Dept Biophys & Chem Phys, Bratislava 84215, Slovakia
Univ Tuscia, Dept Forest Sci & Environm, I-01100 Viterbo, Italy
Moscow MV Lomonosov State Univ, Ecol Travel Ctr, Moscow 119899, Russia
Russian Acad Sci, Siberian Branch, Forest Inst, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Schulze, E.D.; Lloyd, J...; Kelliher, F.M.; Wirth, C...; Rebmann, C...; Luhker, B...; Mund, M...; Knohl, A...; Milyukova, I.M.; Schulze, W...; Ziegler, W...; Varlagin, A.B.; Sogachev, A.F.; Valentini, R...; Dore, S...; Grigoriev, S...; Kolle, O...; Panfyorov, M.I.; Tchebakova, N...; Vygodskaya, N.N.

    A SIBERIAN VEGETATION MODEL-BASED ON CLIMATIC PARAMETERS
[Text] / N. M. TCHEBAKOVA, R. A. MONSERUD, D. I. NAZIMOVA // Can. J. For. Res.-Rev. Can. Rech. For. - 1994. - Vol. 24, Is. 8. - P1597-1607, DOI 10.1139/x94-208. - Cited References: 50 . - 11. - ISSN 0045-5067
РУБ Forestry
Рубрики:
BUDYKO

Аннотация: A model for predicting the spatial distribution of the major vegetation zones in Siberia is developed from bioclimatological considerations. Driving variables are growing degree-days (5 degrees C base), Budyko's dryness index, and Conrad's continentality index. Because these indices reflect the underlying climatic factors determining plants' requirements for warmth, drought resistance, and cold tolerance, they define the main features of vegetation zonation. Climatic inputs (monthly mean temperature, precipitation, vapor pressure, cloudiness, and albedo) are obtained from a global climatic database, supplemented by additional weather stations in Siberia; resolution is 0.5 degrees longitude by 0.5 degrees latitude. The performance of the model is examined by comparing our Siberian vegetation predictions with the landscape map of the USSR by Isachenko, a map that was not used for model development. The patterns of vegetation predicted by the Siberian vegetation model generally match well with the vegetation patterns on Isachenko's map. The general locations of all vegetation zones are predicted correctly. This visual impression is also borne out statistically, with K-statistics for judging agreement between the maps showing good agreement (0.55 kappa 0.7) at all scales of comparison (from 0.5 degrees by 0.5 degrees pixels to 5 degrees by 5 degrees blocks of pixels). The model is also useful for estimating the change in equilibrium conditions due to hypothesized events such as CO2-induced global warming, for retrospective comparisons using the paleorecord, and for carbon budget assessment.

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Держатели документа:
UNIV IDAHO,USDA ARS,US FOREST SERV,INTERMT RES STN,MOSCOW,ID 83843
RUSSIAN ACAD SCI,INST FOREST,KRASNOYARSK 660036,RUSSIA

Доп.точки доступа:
TCHEBAKOVA, N.M.; MONSERUD, R.A.; NAZIMOVA, D.I.

    GLOBAL VEGETATION CHANGE PREDICTED BY THE MODIFIED BUDYKO MODEL
[Text] / R. A. MONSERUD, N. M. TCHEBAKOVA, R. . LEEMANS // Clim. Change. - 1993. - Vol. 25, Is. 1. - P59-83, DOI 10.1007/BF01094084. - Cited References: 73 . - 25. - ISSN 0165-0009
РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Аннотация: A modified Budyko global vegetation model is used to predict changes in global vegetation patterns resulting from climate change (CO2 doubling). Vegetation patterns are predicted using a model based on a dryness index and potential evaporation determined by solving radiation balance equations. Climate change scenarios are derived from predictions from four General Circulation Models (GCM's) of the atmosphere (GFDL, GISS, OSU, and UKMO). Global vegetation maps after climate change are compared to the current climate vegetation map using the kappa statistic for judging agreement, as well as by calculating area statistics. All four GCM scenarios show similar trends in vegetation shifts and in areas that remain stable, although the UKMO scenario predicts greater warming than the others. Climate change maps produced by all four GCM scenarios show good agreement with the current climate vegetation map for the globe as a whole, although over half of the vegetation classes show only poor to fair agreement. The most stable areas are Desert and Ice/Polar Desert. Because most of the predicted warming is concentrated in the Boreal and Temperate zones, vegetation there is predicted to undergo the greatest change. Specifically, all Boreal vegetation classes are predicted to shrink. The interrelated classes of Tundra, Taiga, and Temperate Forest are predicted to replace much of their poleward mostly northern) neighbors. Most vegetation classes in the Subtropics and Tropics are predicted to expand. Any shift in the Tropics favoring either Forest over Savanna, or vice versa, will be determined by the magnitude of the increased precipitation accompanying global warming. Although the model predicts equilibrium conditions to which many plant species cannot adjust (through migration or microevolution) in the 50-100 y needed for CO2 doubling, it is nevertheless not clear if projected global warming will result in drastic or benign vegetation change.

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Держатели документа:
RUSSIAN ACAD SCI,INST FOREST,KRASNOYARSK 660036,RUSSIA
NATL INST PUBL HLTH & ENVIRONM PROTECT,DEPT GLOBAL CHANGE,3720 BA BILTHOVEN,NETHERLANDS

Доп.точки доступа:
MONSERUD, R.A.; TCHEBAKOVA, N.M.; LEEMANS, R...

    A GLOBAL VEGETATION MODEL-BASED ON THE CLIMATOLOGICAL APPROACH OF BUDYKO
[Text] / N. M. TCHEBAKOVA [et al.] // J. Biogeogr. - 1993. - Vol. 20, Is. 2. - P129-144, DOI 10.2307/2845667. - Cited References: 74 . - 16. - ISSN 0305-0270
РУБ Ecology + Geography, Physical
Рубрики:
CLIMATE
Кл.слова (ненормированные):
CLIMATE CHANGE -- BIOGEOGRAPHY -- KAPPA-STATISTIC -- MAP COMPARISON -- VEGETATION CLASSIFICATION

Аннотация: A global vegetation model based on the climatological approach of Budyko is developed. The major vegetation zones of the world are predicted by a two-dimensional ordination of a Dryness Index and Potential Evaporation, which is derived from radiation balance. Mean temperature of the warmest month is also used to separate the Ice/Polar Desert, Tundra, and Taiga zones. Predictions of vegetation distributions are made using a global climate database interpolated to a 0.50 by 0.50 terrestrial grid. The overall impression from examining the resulting global vegetation map is that the modified Budyko model predicts the location and distribution of the world's vegetation fairly well. Comparison between model predictions and Olson's actual vegetation map were based on Kappa statistics and indicate good agreement for Ice/Polar Desert, Tundra, Taiga, and Desert (even though we predict too much Desert). Agreement with Olson's map was fair for predicting the specific location of Tropical Rain Forest and Tropical Savannas, and was good for predicting their general location at a larger scale. Agreement between Olson's map and model predictions were poor for Steppe, Temperate Forest, Tropical Seasonal Forest, and Xerophytic Shrubs, although the predictions for Temperate Forest and Tropical Seasonal Forest improved to fair at a larger scale for judging agreement. Agreement with the baseline map of Olson was poor for Steppe and Xerophytic Shrubs at all scales of comparison. Based on Kappa statistics, overall agreement between model predictions and Olson's map is between fair and good, depending on the scale of comparison. The model performed well in comparison to other global vegetation models. Apparently the calculation of radiation balance and the resulting Dryness Index and Potential Evaporation provides important information for predicting the distribution of the major vegetation zones of the world.

Abstract,
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Держатели документа:
ACAD SCI,INST FOREST,ACADEMGORODOK,660036 KRASNOYARSK,RUSSIA
USDA,INTERMT RES STN,FOREST SERV,MOSCOW,ID 83843
NATL INST PUBL HLTH & ENVIRONM PROTECT,DEPT GLOBAL CHANGE,3720 BILTHOVEN,NETHERLANDS
INT INST APPL SYST ANAL,A-2361 LAXENBURG,AUSTRIA

Доп.точки доступа:
TCHEBAKOVA, N.M.; MONSERUD, R.A.; LEEMANS, R...; GOLOVANOV, S...

    A vegetation model for the Sayan Mountains, southern Siberia
[Text] / R. A. Monserud, N. M. Tchebakova // Can. J. For. Res.-Rev. Can. Rech. For. - 1996. - Vol. 26, Is. 6. - P1055-1068, DOI 10.1139/x26-117. - Cited References: 49 . - 14. - ISSN 0045-5067
РУБ Forestry

Аннотация: A mountain vegetation model driven by regional climatic parameters was developed for predicting the geographic distribution of the numerous ecosystems of the Sayan Mountain system in southern Siberia. Meteorological data are drawn from normal records of monthly means. Four climatic variables were interpolated to a 10' by 10' grid: temperature, precipitation, vapor pressure, and cloudiness. In addition, albedo was derived by 100-m elevation classes for both windward and leeward slopes as a function of the general type of vegetation surface and the dates of snow occurrence. Ecosystems were classified using a two-dimensional climatic ordination. The first dimension was growing degree-days above a 5 degrees C threshold, and the second was Budyko's dryness index, which is based on annual radiation balance and annual precipitation. The patterns: of predicted vegetation corresponded rather well to observed mapped vegetation. Overall kappa statistics indicated agreement with observed vegetation that varied from fair at the finest resolution (10' by 10' cells) to good at intermediate resolution (30' by 30' cells and 1 degrees by 1 degrees cells) to very good at the coarsest resolution (2 degrees by 2 degrees cells). Focusing on individual vegetation classes, agreement was good to very good for each vegetation class at intermediate resolutions and very good to excellent for each vegetation class at the 2 degrees by 2 degrees resolution. Thus, the general location, pattern, and overall distribution of these mountain ecosystems was accurately predicted. This approach for predicting the spatial distribution of biomes was successfully applied at both the global and subcontinental scale. The successful extension of Budyko's radiation balance approach to mountainous terrain on a finer resolution regional scale indicates the generality of the approach.

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Держатели документа:
RUSSIAN ACAD SCI,FOREST INST,KRASNOYARSK 660036,RUSSIA

Доп.точки доступа:
Monserud, R.A.; Tchebakova, N.M.

    Intra-annual variability of anatomical structure and delta C-13 values within tree rings of spruce and pine in alpine, temperate and boreal Europe
[Text] / E. A. Vaganov [et al.] // Oecologia. - 2009. - Vol. 161, Is. 4. - P729-745, DOI 10.1007/s00442-009-1421-y. - Cited References: 72. - This work was supported by Alexander von Humboldt (Research Award 2003 for E. Vaganov) and the Russian Foundation of Basic Research (RFBR-05-04-48069). We thank Alessandro Cescatti, Leonardo Montagnani, Stefano Minerbi and Claudio Mutinelli for providing the climate and nitrogen data for Renon, Sune Linder for dendrometer data, and Anders Lindroth for eddy flux data of the Flakaliden site. We thank Gerd Gleixner for discussion of this manuscript. We also like to thank Annett Boerner for the artwork and Jens Schumacher for advice on statistical analyses. . - 17. - ISSN 0029-8549
РУБ Ecology

Аннотация: Tree-ring width, wood density, anatomical structure and C-13/C-12 ratios expressed as delta C-13-values of whole wood of Picea abies were investigated for trees growing in closed canopy forest stands. Samples were collected from the alpine Renon site in North Italy, the lowland Hainich site in Central Germany and the boreal Flakaliden site in North Sweden. In addition, Pinus cembra was studied at the alpine site and Pinus sylvestris at the boreal site. The density profiles of tree rings were measured using the DENDRO-2003 densitometer, delta C-13 was measured using high-resolution laser-ablation-combustion-gas chromatography-infra-red mass spectrometry and anatomical characteristics of tree rings (tracheid diameter, cell-wall thickness, cell-wall area and cell-lumen area) were measured using an image analyzer. Based on long-term statistics, climatic variables, such as temperature, precipitation, solar radiation and vapor pressure deficit, explained < 20% of the variation in tree-ring width and wood density over consecutive years, while 29-58% of the variation in tree-ring width were explained by autocorrelation between tree rings. An intensive study of tree rings between 1999 and 2003 revealed that tree ring width and delta C-13-values of whole wood were significantly correlated with length of the growing season, net radiation and vapor pressure deficit. The delta C-13-values were not correlated with precipitation or temperature. A highly significant correlation was also found between delta C-13 of the early wood of one year and the late wood of the previous year, indicating a carry-over effect of the growing conditions of the previous season on current wood production. This latter effect may explain the high autocorrelation of long-term tree-ring statistics. The pattern, however, was complex, showing stepwise decreases as well as stepwise increases in the delta C-13 between late wood and early wood. The results are interpreted in the context of the biochemistry of wood formation and its linkage to storage products. It is clear that the relations between delta C-13 and tree-ring width and climate are multi-factorial in seasonal climates.

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Scopus

Держатели документа:
[Schulze, Ernst-Detlef
Brand, Willi A.
Roscher, Christiane] Max Planck Inst Biogeochem, D-07701 Jena, Germany
[Vaganov, Eugene A.
Skomarkova, Marina V.] RAS, Inst Forest SB, Krasnoyarsk 660036, Russia
[Knohl, Alexander] ETH, Dept Plant Sci, CH-8092 Zurich, Switzerland

Доп.точки доступа:
Vaganov, E.A.; Schulze, E.D.; Skomarkova, M.V.; Knohl, A...; Brand, W.A.; Roscher, C...; Alexander von Humboldt; Russian Foundation of Basic Research [RFBR-05-04-48069]

    A new hybrid land cover dataset for Russia: A methodology for integrating statistics, remote sensing and in situ information
/ D. Schepaschenko [et al.] // Journal of Land Use Science. - 2011. - Vol. 6, Is. 4. - P245-259, DOI 10.1080/1747423X.2010.511681 . - ISSN 1747-423X

Кл.слова (ненормированные):
GIS -- inventory statistics -- land cover -- land use -- remote sensing -- Russia -- agricultural land -- biogeochemical cycle -- data set -- geostatistics -- GIS -- hybrid zone -- land cover -- land use -- mapping -- remote sensing -- Russian Federation

Аннотация: Despite being recognized as a key baseline dataset for many applications, especially those relating to biogeochemical cycles, land cover products in their current form are limiting. Typically they lack the thematic detail necessary for driving the models that depend upon them. This study has demonstrated the ability to produce a highly detailed (both spatially and thematically) land cover/land use dataset over Russia - by combining existing datasets into a hybrid information system. The resulting dataset contains detailed subclasses of land cover and attributes necessary for biogeochemical modeling. In lieu of suitable validation data, a confidence map was produced creating six classes of confidence in the agreement between the various remote sensing and statistical datasets. In specific regions, a significant difference between the remote sensing products and the official statistics was observed. For example, in the northwest of Russia the statistics appear to be underreporting the amount of forest land which has likely been increasing in recent decades because of encroachment of forests on abandoned marginal agricultural land. В© 2011 Copyright Taylor and Francis Group, LLC.

Scopus

Держатели документа:
IIASA, Laxenburg, Austria
Moscow State Forest University, Moscow, Russian Federation
Institute of Forest, Siberian Branch, Russian Academy of Science, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Schepaschenko, D.; McCallum, I.; Shvidenko, A.; Fritz, S.; Kraxner, F.; Obersteiner, M.

    Forest forecasting with vegetation models across Russia1
/ J. K. Shuman [et al.] // Can. J. For. Res. - 2015. - Vol. 45, Is. 2. - P175-184, DOI 10.1139/cjfr-2014-0138 . - ISSN 0045-5067

Аннотация: Vegetation models are essential tools for projecting large-scale land-cover response to changing climate, which is expected to alter the distribution of biomes and individual species. A large-scale bioclimatic envelope model (RuBCliM) and an individual species based gap model (UVAFME) are used to simulate the Russian forests under current and future climate for two greenhouse gas emissions scenarios. Results for current conditions are compared between models and assessed against two independent maps of Russian forest biomes and dominant tree species. Comparisons measured with kappa statistics indicate good agreement between the models (kappa values from 0.76 to 0.69), as well as between the model results and two observationbased maps for both species presence and absence (kappa values from 0.70 to 0.43). Agreement between these multiple types of data on forest distribution provides confidence in the projected forest response to changing climate. For future conditions, both models indicate a shift in the dominant biomes from conifers to deciduous leaved species. These projections have implications for feedbacks between the energy budget, carbon cycle, and land cover in the boreal system. The distinct biome and species changes emphasize the need for continued investigation of this landmass that has the size necessary to influence regional and global climate.

Scopus,
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Держатели документа:
University of Virginia, Department of Environmental Sciences, Clark Hall, 291 McCormick Road, P.O. Box 400123Charlottesville, VA, United States
Sukachev Institute of Forest, Russian Academy of SciencesKrasnoyarsk, Russian Federation
National Institute of Aerospace, NASA Langley Research Center, Climate Science and Radiation and Aerosols Branches, 21 Langley Blvd. MS 420Hampton, VA, United States
Center for Problems of Ecology and Productivity of Forests, Russian Academy of SciencesMoscow, Russian Federation
University of Virginia, Alliance for Computational Science and EngineeringCharlottesville, VA, United States

Доп.точки доступа:
Shuman, J.K.; Tchebakova, N.M.; Parfenova, E.I.; Soja, A.J.; Shugart, H.H.; Ershov, D.; Holcomb, K.

    Forest forecasting with vegetation models across Russia
[Text] / J. K. Shuman [et al.] // Can. J. For. Res. - 2015. - Vol. 45, Is. 2. - P175-184, DOI 10.1139/cjfr-2014-0138. - Cited References:53. - This work was funded by NASA grants to H.H. Shugart (Terrestrial Ecology10-CARBON10-0068) and A.J. Soja (Inter-Disciplinary Science09-IDS09-116). We thank the anonymous reviewers and V.A. Seamster forhelpful comments on earlier versions of this manuscript, and RobertSmith for figure preparation. We also appreciate the software packagesthat made this work possible: IDRISI developed in 1987 by R.J. Eastmanat Clark University in Worcester, Massachusetts, USA, and ESRI 2008(ESRI ArcGIS version 9.3, ESRI, Redlands, California, USA). . - ISSN 0045-5067. - ISSN 1208-6037
РУБ Forestry

Аннотация: Vegetation models are essential tools for projecting large-scale land-cover response to changing climate, which is expected to alter the distribution of biomes and individual species. A large-scale bioclimatic envelope model (RuBCliM) and an individual species based gap model (UVAFME) are used to simulate the Russian forests under current and future climate for two greenhouse gas emissions scenarios. Results for current conditions are compared between models and assessed against two independent maps of Russian forest biomes and dominant tree species. Comparisons measured with kappa statistics indicate good agreement between the models (kappa values from 0.76 to 0.69), as well as between the model results and two observation-based maps for both species presence and absence (kappa values from 0.70 to 0.43). Agreement between these multiple types of data on forest distribution provides confidence in the projected forest response to changing climate. For future conditions, both models indicate a shift in the dominant biomes from conifers to deciduous leaved species. These projections have implications for feedbacks between the energy budget, carbon cycle, and land cover in the boreal system. The distinct biome and species changes emphasize the need for continued investigation of this landmass that has the size necessary to influence regional and global climate.

WOS

Держатели документа:
Univ Virginia, Dept Environm Sci, Charlottesville, VA 22904 USA.
Russian Acad Sci, Sukachev Inst Forest, Krasnoyarsk, Russia.
NASA, Natl Inst Aerosp, Langley Res Ctr, Climate Sci Branch, Hampton, VA 23681 USA.
NASA, Natl Inst Aerosp, Langley Res Ctr, Radiat & Aerosols Branch, Hampton, VA 23681 USA.
Russian Acad Sci, Ctr Problems Ecol & Prod Forests, Moscow, Russia.
Univ Virginia, Alliance Computat Sci & Engn, Charlottesville, VA 22904 USA.
ИЛ СО РАН

Доп.точки доступа:
Shuman, Jacquelyn K.; Tchebakova, Nadezhda M.; Parfenova, Elena I.; Soja, Amber J.; Shugart, Herman H.; Ershov, Dmitry; Holcomb, Katherine; NASA [10-CARBON10-0068, 09-IDS09-116]

    Formalized classification of moss litters in swampy spruce forests of intermontane depressions of Kuznetsk Alatau
/ T. T. Efremova, A. F. Avrova, S. P. Efremov // Eurasian Soil Sci. - 2016. - Vol. 49, Is. 9. - P969-978, DOI 10.1134/S1064229316090039 . - ISSN 1064-2293

Кл.слова (ненормированные):
grouping -- morphogenetic types of litters -- multivariate statistical analysis -- Bryophyta -- Picea

Аннотация: The approaches of multivariate statistics have been used for the numerical classification of morphogenetic types of moss litters in swampy spruce forests according to their physicochemical properties (the ash content, decomposition degree, bulk density, pH, mass, and thickness). Three clusters of moss litters— peat, peaty, and high-ash peaty—have been specified. The functions of classification for identification of new objects have been calculated and evaluated. The degree of decomposition and the ash content are the main classification parameters of litters, though all other characteristics are also statistically significant. The final prediction accuracy of the assignment of a litter to a particular cluster is 86%. Two leading factors participating in the clustering of litters have been determined. The first factor—the degree of transformation of plant remains (quality)—specifies 49% of the total variance, and the second factor—the accumulation rate (quantity)— specifies 26% of the total variance. The morphogenetic structure and physicochemical properties of the clusters of moss litters are characterized. © 2016, Pleiades Publishing, Ltd.

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Смотреть статью,
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Держатели документа:
Sukachev Institute of Forestry, Siberian Branch, Russian Academy of Sciences : Akademgorodok 50/28, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Efremova, T. T.; Avrova, A. F.; Efremov, S. P.