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

/ M. I. Makarov [et al.] // Eurasian Soil Sci. - 2013. - Vol. 46, Is. 4. - P369-374, DOI 10.1134/S1064229313040091. - Cited References: 33. - This study was supported by the Russian Foundation for Basic Research (project no. 10-04-00780). . - 6. - ISSN 1064-2293РУБ Soil Science

Аннотация: The general pattern of the changes in the solubility of the labile carbon and nitrogen compounds with the changes in the concentration of the salt extractant (0.05 and 0.5 M K2SO4) has been determined for soils differing in their acidity and in their contents of organic matter and nitrogen. Different forms of extracted compounds react differently to changes in the salt concentration. The solubility of inorganic nitrogen compounds (and) does not depend on the concentration of K2SO4. In most cases, the carbon and nitrogen of the microbial biomass manifest a tendency for increasing extractability with an increase in the concentration of the K2SO4 solution. A fundamental difference is characteristic of the organic carbon and nitrogen compounds, the solubility of which in 0.5 M K2SO4 increases in different soils by 1.5-3.9 times in comparison with their solubility in 0.05 M K2SO4.

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Держатели документа:
[Makarov, M. I.
Shuleva, M. S.
Malysheva, T. I.] Moscow MV Lomonosov State Univ, Fac Soil Sci, Moscow 119991, Russia
[Menyailo, O. V.] Russian Acad Sci, Sukachev Forest Inst, Siberian Branch, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Makarov, M.I.; Shuleva, M.S.; Malysheva, T.I.; Menyailo, O.V.

[Text] / J. . Esper [et al.] // Glob. Change Biol. - 2010. - Vol. 16, Is. 1. - P386-398, DOI 10.1111/j.1365-2486.2009.01913.x. - Cited References: 70. - We thank F. H. Schweingruber for stimulating discussions. Supported by the European Community project Millennium (grant 017008) and the Swiss National Science Foundation through the National Centre for Competence in Climate Research (NCCR-Climate). . - 13. - ISSN 1354-1013РУБ Biodiversity Conservation + Ecology + Environmental Sciences

Аннотация: Estimates of past climate and future forest biomass dynamics are constrained by uncertainties in the relationships between growth and climatic variability and uncertainties in the instrumental data themselves. Of particular interest in this regard is the boreal-forest zone, where radial growth has historically been closely connected with temperature variability, but various lines of evidence have indicated a decoupling since about the 1960s. We here address this growth-vs.-temperature divergence by analyzing tree-ring width and density data from across Siberia, and comparing 20th century proxy trends with those derived from instrumental stations. We test the influence of approaches considered in the recent literature on the divergence phenomenon (DP), including effects of tree-ring standardization and calibration period, and explore instrumental uncertainties by employing both adjusted and nonadjusted temperature data to assess growth-climate agreement. Results indicate that common methodological and data usage decisions alter 20th century growth and temperature trends in a way that can easily explain the post-1960 DP. We show that (i) Siberian station temperature adjustments were up to 1.3 degrees C for decadal means before 1940, (ii) tree-ring detrending effects in the order of 0.6-0.8 degrees C, and (iii) calibration uncertainties up to about 0.4 degrees C over the past 110 years. Despite these large uncertainties, instrumental and tree growth estimates for the entire 20th century warming interval match each other, to a degree previously not recognized, when care is taken to preserve long-term trends in the tree-ring data. We further show that careful examination of early temperature data and calibration of proxy timeseries over the full period of overlap with instrumental data are both necessary to properly estimate 20th century long-term changes and to avoid erroneous detection of post-1960 divergence.

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[Esper, Jan
Frank, David
Buentgen, Ulf
Verstege, Anne] Swiss Fed Res Inst, WSL, CH-8903 Birmensdorf, Switzerland
[Esper, Jan] Oeschger Ctr Climate Change Res, CH-3012 Bern, Switzerland
[Hantemirov, Rashit M.] Russian Acad Sci, Lab Dendrochronol, Inst Plant & Anim Ecol, Ural Branch, Ekaterinburg 620144, Russia
[Kirdyanov, Alexander V.] RAS, VN Sukachev Inst Forest SB, Krasnoyarsk 660036, Akademgorodok, Russia

Доп.точки доступа:
Esper, J...; Frank, D...; Buntgen, U...; Verstege, A...; Hantemirov, R.M.; Kirdyanov, A.V.

[Text] / A. V. Kirdyanov [et al.] // Chem. Geol. - 2008. - Vol. 252, Is. 01.02.2013. - P31-41, DOI 10.1016/j.chemgeo.2008.01.023. - Cited References: 74 . - 11. - ISSN 0009-2541РУБ Geochemistry & Geophysics

Аннотация: We present the first and longest (413 years) dataset on stable carbon isotope ratios in tree-ring cellulose (delta C-13), tree-ring width (TRW), and maximum latewood density (MXD) obtained from larch trees growing on permafrost under continental climate in the Suntar Khayata mountain ridge in Eastern Siberia (Russia). With this first study we calibrate tree-ring parameters against climate quantities, and based on these results assess the potential added value of MXD and especially of delta C-13 complementing TRW analysis for future climate reconstruction purposes. delta C-13 chronologies were corrected for human induced changes in atmospheric CO2 since AD 1800. Two different approaches were compared i) a correction referring merely to the decline in atmospheric delta C-13 (delta C-13(atm)) and ii) a correction additionally accounting for the increase in atmospheric partial pressure of CO2. delta C-13 chronologies are characterized by strong signal strength with only 4 trees representing the population signal at the site (mean inter-series correlation = 0.71 and EPS = 0.90). delta C-13 variation shows low similarity to TRW and MXD, while correlation between TRW and MXD is highly significant. Correlation analysis of tree-ring parameters with gridded instrumental data (Climate Research Unit, CRU TS 2.1) over the AD 1929-2000 calibration period demonstrates that TRW and MXD react as reported from other sites at cold and humid northern latitudes: precipitation plays no significant role, but strong dependencies on monthly mean, maximum and minimum temperatures, particularly of the current summer (June to August), are found (up to r=0.60, p<0.001). Combining instrumental data to a summer season mean (JJA) and TRW and MXD to a growth parameter mean (TRW+MXD), clearly shows the importance of the number of frost days and minimum temperatures during summer (r=0.67, p <0.001) to dominate tree growth and highlights the potential for climate reconstruction. Carbon isotope fixation in tree rings is obviously less controlled by temperature variables. In particular, the frost days and minimum temperature have a much smaller influence on delta C-13 than on tree growth. delta C-13 strongly reacts to current-year July precipitation (r=-0.44, p<0.05) and June-July maximum temperature (r=0.46, p<0.001). All significant (p<0.05) correlation coefficients are higher when using the corrected delta C-13 chronology considering an additional plant physiological response on increasing atmospheric CO2 concentration, than using the chronology corrected for delta C-13(atm) changes alone. Spatial distribution of correlations between tree-ring data and climate variables for Eastern Siberia indicates that the summer temperature regime in the studied region is mostly influenced by Arctic air masses, but precipitation in July seems to be brought out from the Pacific region. Both the combined TRW+MXD record and the (513 C record revealed a high reconstruction potential for summer temperature and precipitation, respectively, particularly on decadal and longer-term scales. (C) 2008 Elsevier B.V. All rights reserved.

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[Kirdyanov, Alexander V.] VN Sukachev Inst Forest SB RAS, Krasnoyarsk 660036, Russia
[Treydte, Kerstin S.] Swiss Fed Res Inst WSL, CH-8903 Birmensdorf, Switzerland
[Nikolaev, Anatolli] Melnikov Inst Permafrost SB RAS Yakutsk, Yakutsk, Russia
[Helle, Gerhard
Schleser, Gerhard H.] ICG V, Inst Chem & Dynam Geosphere, Res Ctr Juelich GmbH, Julich, Germany

Доп.точки доступа:
Kirdyanov, A.V.; Treydte, K.S.; Nikolaev, A...; Helle, G...; Schleser, G.H.

[Text] / O. V. Sidorova [et al.] // Oecologia. - 2009. - Vol. 161, Is. 4. - P825-835, DOI 10.1007/s00442-009-1411-0. - Cited References: 70. - This study was supported by the Swiss National Science Foundation (SNF 200021_121838/1, PIOI2-119259), the Joint Research Project SCOPES (no. IB73A0-111134), and the Russian Foundation for Basic Research (RFBR nos. 06-05-64095-a, 07-04-96819r_enisey, 07-04-00293a, 09-05-98015_r_sibir_a). This work was conducted in collaboration with the European Union-funded Millennium Project (017008). Special thanks to Prof. Danny McCarroll from Swansea University, UK for useful discussion and valuable comments on the early stage of this manuscript. We would like to thank the editor-in-chief, Christian Korner, the handling editor, Dan Yakir, and the two anonymous reviewers for their helpful comments. . - 11. - ISSN 0029-8549РУБ Ecology

Аннотация: Tree-ring width of Larix gmelinii (Rupr.) Rupr., ratios of stable isotopes of C (delta(13)C) and O (delta(18)O) of whole wood and cellulose chronologies were obtained for the northern part of central Siberia (Tura, Russia) for the period 1864-2006. A strong decrease in the isotope ratios of O and C (after atmospheric delta(13)C corrections) and tree-ring width was observed for the period 1967-2005, while weather station data show a decrease in July precipitation, along with increasing July air temperature and vapor pressure deficit (VPD). Temperature at the end of May and the whole month of June mainly determines tree radial growth and marks the beginning of the vegetation period in this region. A positive correlation between tree-ring width and July precipitation was found for the calibration period 1929-2005. Positive significant correlations between C isotope chronologies and temperatures of June and July were found for whole wood and cellulose and negative relationships with July precipitation. These relationships are strengthened when the likely physiological response of trees to increased CO(2) is taken into account (by applying a recently developed delta(13)C correction). For the O isotope ratios, positive relationships with annual temperature, VPD of July and a negative correlation with annual precipitation were observed. The delta(18)O in tree rings may reflect annual rather than summer temperatures, due to the late melting of the winter snow and its contribution to the tree water supply in summer. We observed a clear change in the isotope and climate trends after the 1960s, resulting in a drastic change in the relationship between C and O isotope ratios from a negative to a positive correlation. According to isotope fractionation models, this indicates reduced stomatal conductance at a relatively constant photosynthetic rate, as a response of trees to water deficit for the last half century in this permafrost region.

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Держатели документа:
[Sidorova, Olga Vladimirovna
Shashkin, Alexander V.
Knorre, Anastasia A.
Prokushkin, Anatoliy S.
Vaganov, Eugene A.
Kirdyanov, Alexander V.] VN Sukachev Inst Forest, Akademgorodok 660036, Russia
[Sidorova, Olga Vladimirovna
Siegwolf, Rolf T. W.
Saurer, Matthias] Paul Scherrer Inst, CH-5232 Villigen, Switzerland
[Knorre, Anastasia A.
Vaganov, Eugene A.] Siberian Fed Univ, Krasnoyarsk 660041, Russia

Доп.точки доступа:
Sidorova, O.V.; Siegwolf, RTW; Saurer, M...; Shashkin, A.V.; Knorre, A.A.; Prokushkin, A.S.; Vaganov, E.A.; Kirdyanov, A.V.; Swiss National Science Foundation [SNF 200021_121838/1, PIOI2-119259]; Joint Research Project SCOPES [IB73A0-111134]; Russian Foundation for Basic Research (RFBR) [06-05-64095-a, 07-04-96819r_enisey, 07-04-00293a, 09-05-98015_r_sibir_a]; European Union [017008]

[Text] / K. R. Briffa [et al.] // Holocene. - 2002. - Vol. 12, Is. 6. - P759-789, DOI 10.1191/0959683602hl588rp. - Cited References: 33 . - 31. - ISSN 0959-6836РУБ 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.

[Text] / K. J. Anchukaitis [et al.] // Geophys. Res. Lett. - 2006. - Vol. 33, Is. 4. - Ст. L04705, DOI 10.1029/2005GL025050. - Cited References: 29 . - 4. - ISSN 0094-8276РУБ Geosciences, Multidisciplinary

Аннотация: We use a mechanistic model of tree-ring formation to simulate regional patterns of climate-tree growth relationships in the southeastern United States. Modeled chronologies are consistent with actual tree-ring data, demonstrating that our simulations have skill in reproducing broad-scale patterns of the proxy's response to climate variability. The model predicts that a decrease in summer precipitation, associated with a weakening Bermuda High, has become an additional control on tree ring growth during recent decades. A nonlinear response of tree growth to climate variability has implications for the calibration of tree-ring records for paleoclimate reconstructions and the prediction of ecosystem responses to climate change.

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Держатели документа:
Univ Arizona, Tree Ring Res Lab, Tucson, AZ 85721 USA
Univ Arizona, Dept Geosci, Tucson, AZ 85721 USA
Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA
Univ Tennessee, Dept Geog, Knoxville, TN 37996 USA
Russian Acad Sci, Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Anchukaitis, K.J.; Evans, M.N.; Kaplan, A...; Vaganov, E.A.; Hughes, M.K.; Grissino-Mayer, H.D.; Cane, M.A.

/ A. V. Kirdyanov [et al.] // Chemical Geology. - 2008. - Vol. 252, Is. 1-2. - P31-41, DOI 10.1016/j.chemgeo.2008.01.023 . - ISSN 0009-2541
Аннотация: We present the first and longest (413 years) dataset on stable carbon isotope ratios in tree-ring cellulose (δ13C), tree-ring width (TRW), and maximum latewood density (MXD) obtained from larch trees growing on permafrost under continental climate in the Suntar Khayata mountain ridge in Eastern Siberia (Russia). With this first study we calibrate tree-ring parameters against climate quantities, and based on these results assess the potential added value of MXD and especially of δ13C complementing TRW analysis for future climate reconstruction purposes. δ13C chronologies were corrected for human induced changes in atmospheric CO2 since AD 1800. Two different approaches were compared i) a correction referring merely to the decline in atmospheric δ13C (δ13Catm) and ii) a correction additionally accounting for the increase in atmospheric partial pressure of CO2. δ13C chronologies are characterized by strong signal strength with only 4 trees representing the population signal at the site (mean inter-series correlation = 0.71 and EPS = 0.90). δ13C variation shows low similarity to TRW and MXD, while correlation between TRW and MXD is highly significant. Correlation analysis of tree-ring parameters with gridded instrumental data (Climate Research Unit, CRU TS 2.1) over the AD 1929-2000 calibration period demonstrates that TRW and MXD react as reported from other sites at cold and humid northern latitudes: precipitation plays no significant role, but strong dependencies on monthly mean, maximum and minimum temperatures, particularly of the current summer (June to August), are found (up to r = 0.60, p < 0.001). Combining instrumental data to a summer season mean (JJA) and TRW and MXD to a growth parameter mean (TRW + MXD), clearly shows the importance of the number of frost days and minimum temperatures during summer (r = 0.67, p < 0.001) to dominate tree growth and highlights the potential for climate reconstruction. Carbon isotope fixation in tree rings is obviously less controlled by temperature variables. In particular, the frost days and minimum temperature have a much smaller influence on δ13C than on tree growth. δ13C strongly reacts to current-year July precipitation (r = - 0.44, p < 0.05) and June-July maximum temperature (r = 0.46, p < 0.001). All significant (p < 0.05) correlation coefficients are higher when using the corrected δ13C chronology considering an additional plant physiological response on increasing atmospheric CO2 concentration, than using the chronology corrected for δ13Catm changes alone. Spatial distribution of correlations between tree-ring data and climate variables for Eastern Siberia indicates that the summer temperature regime in the studied region is mostly influenced by Arctic air masses, but precipitation in July seems to be brought out from the Pacific region. Both the combined TRW + MXD record and the δ13S{cyrillic} record revealed a high reconstruction potential for summer temperature and precipitation, respectively, particularly on decadal and longer-term scales. © 2008 Elsevier B.V. All rights reserved.

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V.N.Sukachev Institute of Forest SB RAS, Akademgorodok, Krasnoyarsk, 660036, Russian Federation
Swiss Federal Research Institute WSL, 8903 Birmensdorf, Switzerland
Melnikov Institute, Permafrost SB RAS Yakutsk, Russian Federation
Research Centre Juelich GmbH, Institute of Chemistry and Dynamics in Geosphere: ICG-V, Juelich, Germany

Доп.точки доступа:
Kirdyanov, A.V.; Treydte, K.S.; Nikolaev, A.; Helle, G.; Schleser, G.H.

[Текст] : статья / Дмитрий Геннадьевич Щепащенко [и др.] // Сибирский лесной журнал. - 2017. - № : 4. - С. 3-11, DOI 10.15372/SJFS20170401 . - ISSN 2311-1410
   Перевод заглавия: Forest biomass observation: current state and prospective

УДК

528.8

581.5

Аннотация: Дан обзор современных методов, инструментов и перспектив мониторинга лесной фитомассы в глобальном масштабе. Рассмотрены преимущества и недостатки различных дистанционных методов космического базирования, включая оптические, радарные (C-, L-, P-диапазонов) и лазерные, а также соответствующие им инструменты, находящиеся на орбите (MODIS, Proba-V, Landsat, Sentinel-1, Sentinel-2, ALOS PALSAR, Envisat ASAR) или готовящиеся к запуску (BIOMASS, GEDI, NISAR, SAOCOM-CS). Подчеркнута роль наземных методов в разработке моделей фитомассы, обеспечении калибровки и проверки дистанционных данных. Описаны имеющиеся в свободном доступе карты, базы данных и эмпирические модели (как подеревные - аллометрические, так и на уровне насаждений) лесной фитомассы. Описаны функциональные возможности интернет-портала Biomass.Geo-Wiki.org, который предоставляет доступ к коллекции глобальных и региональных карт фитомассы в полном разрешении с унифицированной легендой, наложенных на снимки высокого разрешения. Анонсирована международная кооперация ученых, проводящих измерения на постоянных пробных площадях (Forest Observation System), и рассмотрены ее перспективы в развитии сети наземных наблюдений во взаимодействии с дистанционным сообществом. Кратко рассмотрены перспективы беспилотных летательных аппаратов в инвентаризации лесов. Авторы адресуют данный обзор специалистам лесного хозяйства и научным работникам в области лесоведения и экологии, которые не являются экспертами в дистанционном зондировании, но хотят получить представление о современных тенденциях в этой области знания. Также статья нацелена на уменьшение разобщенности научных коллективов и более широкий обмен данными и знаниями между дистанционным и экологическим сообществами.
With this article, we provide an overview of the methods, instruments and initiatives for forest biomass observation at global scale. We focus on the freely available information, provided by both remote and in-situ observations. The advantages and limitation of various space borne methods, including optical, radar (C, L and P band) and LiDAR, as well as respective instruments available on the orbit (MODIS, Proba-V, Landsat, Sentinel-1, Sentinel-2, ALOS PALSAR, Envisat ASAR) or expecting (BIOMASS, GEDI, NISAR, SAOCOM-CS) are discussed. We emphasize the role of in-situ methods in the development of a biomass models, providing calibration and validation of remote sensing data. We focus on freely available forest biomass maps, databases and empirical models. We describe the functionality of Biomass.Geo-Wiki.org portal, which provides access to a collection of global and regional biomass maps in full resolution with unified legend and units overplayed with high-resolution imagery. The Forest-Observation-System.net is announced as an international cooperation to establish a global in-situ forest biomass database to support earth observation and to encourage investment in relevant field-based observations and science. Prospects of unmanned aerial vehicles in the forest inventory are briefly discussed.

РИНЦ

Держатели документа:
Ботанический сад УрО РАН
Всероссийский институт повышения квалификации руководящих работников и специалистов лесного хозяйства
Институт биологии Коми научного центра УрО РАН
Институт леса им. В. Н. Сукачева СО РАН
Международный институт прикладного системного анализа
Московский государственный технический университет им. Н. Э. Баумана
Национальный университет биоресурсов и природопользования Украины

Доп.точки доступа:
Щепащенко, Дмитрий Геннадьевич; Schepaschenko D.G.; Осипов, Андрей Федорович; Osipov A.F.; Мартыненко, Ольга Вениаминовна; Martynenko O.V.; Карминов, Виктор Николаевич; Karminov V.N.; Онтиков, Пётр Вячеславович; Ontikov P.V.; Щепащенко, Мария Владимировна; Shchepashchenko M.V.; Кракснер, Флориан; Kraxner F.; Швиденко, Анатолий Зиновьевич; Shvidenko A.Z.; Пергер, Кристоф; Perger C.; Дресел, Кристофер; Dresel C.; Фриц, Штефен; Fritz S.; Лакида, Петр Иванович; Lakyda P.I.; Мухортова, Людмила Владимировна; Mukhortova L.V.; Усольцев, Владимир Андреевич; Usoltsev V.A.; Бобкова, Капитолина Степановна; Bobkova K.S.

/ D. Schepaschenko [et al.] // Sci Data. - 2019. - Vol. 6, Is. 1. - P198, DOI 10.1038/s41597-019-0196-1 . - ISSN 2052-4463
Аннотация: Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25?ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.

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Держатели документа:
Ecosystems Services and Management Program, International Institute for Applied Systems Analysis, Laxenburg, A-2361, Austria
Forestry faculty, Bauman Moscow State Technical University, Mytischi141005, Russian Federation
Laboratoire Evolution et Diversite Biologique CNRS/Universite Paul Sabatier, Toulouse, France
School of Geography, University of Leeds, Leeds, LS2 9JT, United Kingdom
University College London, 30 Guilford Street, London, WC1N 1EH, United Kingdom
Forest Global Earth Observatory, Smithsonian Tropical Research Institute, P.O. Box 37012WA 20013, United States
AMAP, IRD, CNRS, CIRAD, INRA, University Montpellier, Montpellier, France
CIRAD, Forets et Societes, Campus International de Baillarguet, Montpellier, F-34398, France
Forets et Societes, Univ Montpellier, CIRAD, Montpellier, F-34398, France
European Space Agency, ESTEC, Noordwijk, Netherlands
Ecosystems Services and Management Program, International Institute for Applied Systems Analysis, Laxenburg, A-2361, Austria
Spatial Focus GmbHVienna, Austria
Department Foresterie et Environnement (DFR FOREN), Institut National Polytechnique Felix Houphouet-Boigny, BP 2661Yamoussoukro, Cote d'Ivoire
Mensuration Unit, Forestry Commission of Ghana, Kumasi, Ghana
Center of Forest Ecology and Productivity of the Russian Academy of SciencesMoscow 117997, Russian Federation
Smithsonian Conservation Biology Institute, 1100 Jefferson Dr SW, DCWA, United States
Centre for International Forestry Research, CIFOR, Jalan CIFOR ,Situ Gede, Bogor, 16115, Indonesia
Universidad Autonoma Gabriel Rene MorenoSanta Cruz, Bolivia
Department of Geographical Sciences, University of Maryland, MD, 2181 Lefrak Hall ,College Park20742, United States
Joint Remote Sensing Research Program, School of Earth and Environmental Sciences, University of Queensland, Chamberlain Building (35), Campbell Road ,St Lucia Campus, Brisbane, 4072, Australia
Museo de Historia Natural Noel Kempff Mercado, Universidad Autonoma Gabriel Rene Moreno Av. Irala 565 - casillaSanta Cruz 2489, Bolivia
Instituto Boliviano de Investigacion Forestal, Av. 6 de agosto # 28, Km 14 doble via La GuardiaCasillaSanta Cruz 6204, Bolivia
Embrapa, Rodovia AM 10, km 29AM, Manaus, 69010-970, Brazil
Forest Research Institute, Department of Geomatics, Braci Lesnej 3 ,Sekocin Stary, Raszyn, 05-090, Poland
ONF, ONF-Reserve de Montabo Cayenne Cedex, Cayenne, BP 7002; 97307, French Guiana
Landscapes and Livelihoods Group, 20 Chambers St, Edinburgh, EH1 1JZ, United Kingdom
National University of Life and Environmental Sciences of Ukraine, General Rodimtsev 19Kyiv 3041, Ukraine
Herbier National du Gabon (IPHAMETRA), B.P 1165, Libreville, Gabon
Institute of Biology, Komi Scientific Center, Ural Branch of Russian Academy of Sciences, Syktyvkar, 167982, Russian Federation
School of Biological Sciences, University of Aberdeen, Cruickshank Building, St Machar Drive, Aberdeen, AB24 3UU, United Kingdom
Morton Arboretum, 4100 Illinois Rte. 53, Lisle, 60532, United States
Department of Environment and Geography, University of York, Heslington, York, YO10 5NG, United Kingdom
V.N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, 660036, Russian Federation
Instituto de Investigaciones de la Amazonia Peruana, Av. Abelardo Quinones km 2.5Apartado Postal 784, Iquitos, Peru
CIRAD, UMR EcoFoG, Campus Agronomique - BP 701, Kourou, 97387, French Guiana
Embrapa, Rodovia Juscelino Kubitscheck, no 2.600, 68903-419, Km 5Caixa Postal 10, Macapa, Brazil
Embrapa, BR 364, Caixa postal 321, Rio Branco, 69.900-970, Brazil
SI Entomology, Smithsonian Institution, DC, PO Box 37012 ,MRC 187WA, United States
Department Forest Ecology and Management, Swedish University of Agricultural Sciences, SLU, Umea, SE 901 83, Sweden
Geography, College of Life and Environmental Sciences, University of Exeter, Laver Building, North Park Road, Exeter, EX4 4QE, United Kingdom
Forestry Research Institute of Ghana, KNUST, UP Box 63, Kumasi, Ghana
Field Musium, 1400S Lake Shore Dr, Chicago, 60605, United States
Universidad Politecnica de Madrid ,Calle Ramiro de MaeztuMadrid 28040, Spain
Institut Centrafricain de Recherche Agronomique, ICRA, BP 122Bangui, Central African Republic
School of Biology, University of Leeds, Leeds, LS2 9JT, United Kingdom
Forestry and Environment Research Development and Innovation Agency, Jalan Gunung Batu No 5, Bogor, 16610, Indonesia
Instituto Nacional de Pesquisas da Amazonia - Coordenacao de Pesquisas em Silvicultura Tropical, Manaus, 69060-001, Brazil
Gent-Woodlab, Laboratory of Wood Technology, Department of Environment, Ghent University, Ghent, 9000, Belgium
Department of Ecology and Evolutionary Biology, University of California, 621 Charles E. Young Dr. South, Los Angeles, CA, 90095-1606, USA
Embrapa Amazonia Oriental, Travessa Doutor Eneas Pinheiro, Belem, 66095-903, Brazil
World Wildlife Fund, Calle Diego de Mendoza 299, Santa Cruz de la Sierra, Bolivia
boulevard Francois Mitterrand01BP 3770Abidjan, Cote d'Ivoire
Global Change Research Institute CAS, Belidla 986/4a, Brno, 603 00, Czech Republic
Department of Geography and Earth Sciences, Aberystwyth University, AberystwythSY23 3DB, United Kingdom
School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, United Kingdom
Laboratorio de Ecologia Vegetal, Universidade do Estado de Mato Grosso, UNEMAT, Campus de Nova Xavantina, Nova Xavantina, Mato Grosso 78.690-000, Brazil
Jardin Botanico de Missouri; Universidad Nacional de San Antonio Abad del Cusco, Oxapampa, Peru
Russian Institute of Continuous Education in Forestry, Pushkino, 141200, Russian Federation
Institute for Evolutionary Ecology of the National Academy of Sciences of UkraineKyiv 03143, Ukraine
University of Oregon, 1585 E 13th AveOR, Eugene, 97403, United States
Forest Management in Bolivia, Bolivia
FRIM Forest Reserach Institute of Malaysia, 52109 Kepong, Selangor, Kuala Lumpur, Malaysia
Hiroshima University, 1-7-1 Kagamiyama ,Higashi-HiroshimaHiroshima 739-8521, Japan
Forestry faculty, Bauman Moscow State Technical University, Mytischi141005, Russian Federation
Center for Agricultural research in SurinameParamaribo 1914, Suriname
Nicholas School of the Environment, Duke University, P.O. Box 90328, Durham, 27708, United States
IIC, Iwokrama International Centre for Rain Forest Conservation and Development, 77 High Street, Georgetown, Guyana
Cibodas Botanic Gardens - Indonesian Institute of Sciences (LIPI)43253, Indonesia
Smithsonian Tropical Research Institute, Balboa, Ancon, Panama 3092, Panama
Museu Universitario, Universidade Federal do Acre, BR 364, Km 04 - Distrito Industrial, Rio Branco, 69915-559, Brazil
Guyana Forestry Commission, 1 Water Street, Guyana
Plant Systematic and Ecology Laboratory, University of Yaounde I, P.O. Box 047, Yaounde, Cameroon
Bioversity international, P.O. Box 2008, Yaounde
Naturalis Biodiversity Center, Leiden, Netherlands
School of Natural Sciences, Bangor University, Thoday Building. Deiniol Rd, Bangor, LL57 2UW, United Kingdom
Siberian Federal University, 79, Krasnoyarsk, 660041, Russian Federation
Reshetnev Siberian state university of science and technology, pr. Mira 82, Krasnoyarsk, 660049, Russian Federation
Department of Forest Sciences, Luiz de Queiroz College of Agriculture, University of Sao Paolo, PO Box 9 ,Av. Padua Dias ,11, Piracicaba, Sao Paulo 13418-900, Brazil
State Nature Reserve Denezhkin Kamen, Sverdlovsk reg, Lenina, Russian Federation
International Center for Tropical Botany, Department of Biological Sciences, Florida International University, FL, 11200 S.W. 8th Street, Miami, 33199, United States
Universidad Autonoma del Beni, Riberalta, Bolivia
Department of Microbiology and Ecosystem Science, Division of Terrestrial Ecosystem research, University of Vienna, Althanstrasse 14Vienna A-1090, Austria
New Zealand Forest Research Institute (Scion) Te Papa Tipu Innovation Park ,49 Sala Street, Rotorua, 3046, New Zealand
Unaffiliated (retired), Bad Aussee, 8990, Austria
W.R.T College of Agriculture and Forestry, University of Liberia, Capitol Hill, Monrovia, 9020, Liberia
FRIM Forest Research Institute of Malaysia, 52109 Kepong, Selangor, Kuala Lumpur, Malaysia

Доп.точки доступа:
Schepaschenko, D.; Chave, J.; Phillips, O. L.; Lewis, S. L.; Davies, S. J.; Rejou-Mechain, M.; Sist, P.; Scipal, K.; Perger, C.; Herault, B.; Labriere, N.; Hofhansl, F.; Affum-Baffoe, K.; Aleinikov, A.; Alonso, A.; Amani, C.; Araujo-Murakami, A.; Armston, J.; Arroyo, L.; Ascarrunz, N.; Azevedo, C.; Baker, T.; Balazy, R.; Bedeau, C.; Berry, N.; Bilous, A. M.; Bilous, S. Y.; Bissiengou, P.; Blanc, L.; Bobkova, K. S.; Braslavskaya, T.; Brienen, R.; Burslem, D. F.R.P.; Condit, R.; Cuni-Sanchez, A.; Danilina, D.; Del Castillo Torres, D.; Derroire, G.; Descroix, L.; Sotta, E. D.; d'Oliveira, M. V.N.; Dresel, C.; Erwin, T.; Evdokimenko, M. D.; Falck, J.; Feldpausch, T. R.; Foli, E. G.; Foster, R.; Fritz, S.; Garcia-Abril, A. D.; Gornov, A.; Gornova, M.; Gothard-Bassebe, E.; Gourlet-Fleury, S.; Guedes, M.; Hamer, K. C.; Susanty, F. H.; Higuchi, N.; Coronado, E. N.H.; Hubau, W.; Hubbell, S.; Ilstedt, U.; Ivanov, V. V.; Kanashiro, M.; Karlsson, A.; Karminov, V. N.; Killeen, T.; Koffi, J. -C.K.; Konovalova, M.; Kraxner, F.; Krejza, J.; Krisnawati, H.; Krivobokov, L. V.; Kuznetsov, M. A.; Lakyda, I.; Lakyda, P. I.; Licona, J. C.; Lucas, R. M.; Lukina, N.; Lussetti, D.; Malhi, Y.; Manzanera, J. A.; Marimon, B.; Junior, B. H.M.; Martinez, R. V.; Martynenko, O. V.; Matsala, M.; Matyashuk, R. K.; Mazzei, L.; Memiaghe, H.; Mendoza, C.; Mendoza, A. M.; Moroziuk, O. V.; Mukhortova, L.; Musa, S.; Nazimova, D. I.; Okuda, T.; Oliveira, L. C.; Ontikov, P. V.; Osipov, A. F.; Pietsch, S.; Playfair, M.; Poulsen, J.; Radchenko, V. G.; Rodney, K.; Rozak, A. H.; Ruschel, A.; Rutishauser, E.; See, L.; Shchepashchenko, M.; Shevchenko, N.; Shvidenko, A.; Silveira, M.; Singh, J.; Sonke, B.; Souza, C.; Sterenczak, K.; Stonozhenko, L.; Sullivan, M. J.P.; Szatniewska, J.; Taedoumg, H.; Ter Steege, H.; Tikhonova, E.; Toledo, M.; Trefilova, O. V.; Valbuena, R.; Gamarra, L. V.; Vasiliev, S.; Vedrova, E. F.; Verhovets, S. V.; Vidal, E.; Vladimirova, N. A.; Vleminckx, J.; Vos, V. A.; Vozmitel, F. K.; Wanek, W.; West, T. A.P.; Woell, H.; Woods, J. T.; Wortel, V.; Yamada, T.; Nur Hajar, Z. S.; Zo-Bi, I. C.

/ F. C. Ljungqvist, A. Piermattei, A. Seim [et al.] // Quat. Sci. Rev. - 2020. - Vol. 230. - Ст. 106074, DOI 10.1016/j.quascirev.2019.106074 . - ISSN 0277-3791
Аннотация: To place recent hydroclimate changes, including drought occurrences, in a long-term historical context, tree-ring records serve as an important natural archive. Here, we evaluate 46 millennium-long tree-ring based hydroclimate reconstructions for their Data Homogeneity, Sample Replication, Growth Coherence, Chronology Development, and Climate Signal based on criteria published by Esper et al. (2016) to assess tree-ring based temperature reconstructions. The compilation of 46 individually calibrated site reconstructions includes 37 different tree species and stem from North America (n = 29), Asia (n = 10); Europe (n = 5), northern Africa (n = 1) and southern South America (n = 1). For each criterion, the individual reconstructions were ranked in four groups, and results showed that no reconstruction scores highest or lowest for all analyzed parameters. We find no geographical differences in the overall ranking, but reconstructions from arid and semi-arid environments tend to score highest. A strong and stable hydroclimate signal is found to be of greater importance than a long calibration period. The most challenging trade-off identified is between high continuous sample replications, as well as a well-mixed age class distribution over time, and a good internal growth coherence. Unlike temperature reconstructions, a high proportion of the hydroclimate reconstructions are produced using individual series detrending methods removing centennial-scale variability. By providing a quantitative and objective evaluation of all available tree-ring based hydroclimate reconstructions we hope to boost future improvements in the development of such records and provide practical guidance to secondary users of these reconstructions. © 2019 The Authors

Scopus

Держатели документа:
Department of History, Stockholm University, Stockholm, Sweden
Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Swedish Collegium for Advanced Study, Uppsala, Sweden
Department of Geography, University of Cambridge, Cambridge, United Kingdom
Chair of Forest Growth, Institute of Forest Sciences, Albert Ludwig University of Freiburg, Freiburg, Germany
Department of Physical Geography, Stockholm University, Stockholm, Sweden
Dendro Sciences Group, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
CzechGlobe Global Change Research Institute CAS, Brno, Czech Republic
Department of Geography, Faculty of Science, Masaryk University, Brno, Czech Republic
Center for Ecological Forecasting and Global Change, College of Forestry, Northwest Agriculture and Forestry University, Yangling, China
Sukachev Institute of Forest SB RAS, Krasnoyarsk, Akademgorodok, Russian Federation
Institute of Ecology and Geography, Siberian Federal University, Krasnoyarsk, Russian Federation
Department of Geography, Climatology, Climate Dynamics and Climate Change, Justus Liebig University, Giessen, Germany
Centre for International Development and Environmental Research, Justus Liebig University, Giessen, Germany
Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
Georges Lemaitre Centre for Earth and Climate Research, Universite Catholique de Louvain, Louvain-la-Neuve, Belgium
Department of Geosciences, University of Arkansas, Fayetteville, United States
Instituto Argentino de Nivologia, Glaciologia y Ciencias Ambientales IANIGLA, CCT-CONICET-Mendoza, Mendoza, Argentina
Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China
Department of Geography, Johannes Gutenberg University, Mainz, Germany

Доп.точки доступа:
Ljungqvist, F. C.; Piermattei, A.; Seim, A.; Krusic, P. J.; Buntgen, U.; He, M.; Kirdyanov, A. V.; Luterbacher, J.; Schneider, L.; Seftigen, K.; Stahle, D. W.; Villalba, R.; Yang, B.; Esper, J.

/ F. C. Ljungqvist, A. Piermattei, A. Seim [et al.] // Quat. Sci. Rev. - 2020. - Vol. 230. - Ст. 106074, DOI 10.1016/j.quascirev.2019.106074. - Cited References:225. - We are grateful to all colleagues for sharing and providing their tree-ring chronologies and measurement series. F.C.L. was supported by the Swedish Research Council (Vetenskapsradet, grant 2018-01272), A.S. by the German Research Foundation (Deutsche Forschungsgemeinschaft, SE 2802/1-1), U.B by the Czech Republic Grant Agency project no. 17-22102S, M.H. by the Alexander von Humboldt Foundation, J.L., L.S. and B.Y. by the Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (BMBF grant 01LP1612A; NERC grant NE/P006809/1; NSFC grant 41661144008), K.S. by FORMAS (grant 2014-723) and the Swiss National Science Foundation SNSF (project XELLCLIM no. 200021-182398), I.E. by the German Research Foundation (Deutsche Forschungsgemeinschaft, grants Inst 247/665-1 FUGG and ES 161/9-1). F.C.L. acknowledges a longer stay as Visiting Scholar at the Department of Geography, University of Cambridge, allowing time and inspiration to pursue this study. All reconstructions, with the data in the public domain, and their corresponding scores are provided at www.blogs.uni-mainz.de/fb09climatology. . - ISSN 0277-3791РУБ Geography, Physical + Geosciences, Multidisciplinary

Аннотация: To place recent hydroclimate changes, including drought occurrences, in a long-term historical context, tree-ring records serve as an important natural archive. Here, we evaluate 46 millennium-long tree-ring based hydroclimate reconstructions for their Data Homogeneity, Sample Replication, Growth Coherence, Chronology Development, and Climate Signal based on criteria published by Esper et al. (2016) to assess tree-ring based temperature reconstructions. The compilation of 46 individually calibrated site reconstructions includes 37 different tree species and stem from North America (n = 29), Asia (n = 10); Europe (n = 5), northern Africa (n = 1) and southern South America (n = 1). For each criterion, the individual reconstructions were ranked in four groups, and results showed that no reconstruction scores highest or lowest for all analyzed parameters. We find no geographical differences in the overall ranking, but reconstructions from arid and semi-arid environments tend to score highest. A strong and stable hydroclimate signal is found to be of greater importance than a long calibration period. The most challenging trade-off identified is between high continuous sample replications, as well as a well-mixed age class distribution over time, and a good internal growth coherence. Unlike temperature reconstructions, a high proportion of the hydroclimate reconstructions are produced using individual series detrending methods removing centennial-scale variability. By providing a quantitative and objective evaluation of all available tree-ring based hydroclimate reconstructions we hope to boost future improvements in the development of such records and provide practical guidance to secondary users of these reconstructions. (C) 2019 The Authors. Published by Elsevier Ltd.

WOS

Держатели документа:
Stockholm Univ, Dept Hist, SE-10691 Stockholm, Sweden.
Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden.
Swedish Collegium Adv Study, Uppsala, Sweden.
Univ Cambridge, Dept Geog, Cambridge, England.
Albert Ludwig Univ Freiburg, Inst Forest Sci, Chair Forest Growth, Freiburg, Germany.
Stockholm Univ, Dept Phys Geog, Stockholm, Sweden.
Swiss Fed Res Inst WSL, Dendro Sci Grp, Birmensdorf, Switzerland.
CAS, CzechGlobe Global Change Res Inst, Brno, Czech Republic.
Masaryk Univ, Fac Sci, Dept Geog, Brno, Czech Republic.
Northwest Agr & Forestry Univ, Coll Forestry, Ctr Ecol Forecasting & Global Change, Yangling, Shaanxi, Peoples R China.
RAS, SB, Sukachev Inst Forest, Krasnoyarsk, Russia.
Siberian Fed Univ, Inst Ecol & Geog, Krasnoyarsk, Russia.
Justus Liebig Univ, Dept Geog Climatol Climate Dynam & Climate Change, Giessen, Germany.
Justus Liebig Univ, Ctr Int Dev & Environm Res, Giessen, Germany.
Univ Gothenburg, Dept Earth Sci, Reg Climate Grp, Gothenburg, Sweden.
Catholic Univ Louvain, Georges Lemaitre Ctr Earth & Climate Res, Louvain La Neuve, Belgium.
Univ Arkansas, Dept Geosci, Fayetteville, AR 72701 USA.
CONICET Mendoza, CCT, Inst Argentino Nivol Glaciol & Ciencias Ambiental, Mendoza, Argentina.
Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Lanzhou, Peoples R China.
Johannes Gutenberg Univ Mainz, Dept Geog, Mainz, Germany.

Доп.точки доступа:
Ljungqvist, Fredrik Charpentier; Piermattei, Alma; Seim, Andrea; Krusic, Paul J.; Buntgen, Ulf; He, Minhui; Kirdyanov, Alexander V.; Luterbacher, Juerg; Schneider, Lea; Seftigen, Kristina; Stahle, David W.; Villalba, Ricardo; Yang, Bao; Esper, Jan; Swedish Research Council (Vetenskapsradet)Swedish Research Council [2018-01272]; German Research Foundation (Deutsche Forschungsgemeinschaft)German Research Foundation (DFG) [ES 161/9-1, SE 2802/1-1, Inst 247/665-1 FUGG]; Czech Republic Grant AgencyGrant Agency of the Czech Republic [17-22102S]; Alexander von Humboldt FoundationAlexander von Humboldt Foundation; Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (BMBF)Federal Ministry of Education & Research (BMBF) [01LP1612A]; Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (NERC) [NE/P006809/1]; Belmont Forum and JPI-Climate, Collaborative Research Action "INTEGRATE: An integrated data-model study of interactions between tropical monsoons and extratropical climate variability and extremes" (NSFC)National Natural Science Foundation of China [41661144008]; FORMASSwedish Research Council Formas [2014-723]; Swiss National Science Foundation SNSF (project XELLCLIM)Swiss National Science Foundation (SNSF) [200021-182398]

/ E. I. Ponomarev, E. G. Shvetsov, K. Y. Litvintsev // Izv. Atmos. Ocean. Phys. - 2019. - Vol. 55, Is. 9. - P1065-1072, DOI 10.1134/S0001433819090408. - Cited References:39. - This work was supported by the Russian Foundation for Basic Research, the Government of the Krasnoyarsk Region, and the Krasnoyarsk krai Foundation for Research and Development Support, project no. 17-41-240475. . - ISSN 0001-4338. - ISSN 1555-628XРУБ Meteorology & Atmospheric Sciences + Oceanography

Аннотация: This study is based on the processing of satellite imagery in the wave range 3.93-3.99 mu m (Terra/Modis satellite) and numerical simulation results. It has been found for combustion conditions in Siberian forests that the observed fire radiative power (FRP) is 15% of the total fire power. Variations between 10 and 30% depend on both the fire development scenario (specific burnup rate of 0.01-0.1 kg/m(2) s and fire front velocity of 0.01-0.1 m/s) and the conditions for remote imaging. Instrumental estimates for the ratio of fire areas by given intensity quantiles for Siberian forests are presented. The share of low-, medium-, and high-intensity fires is 41.2-58.9, 35.0-46.5, and 6.10-13.44% of the total area. Refined estimates of fire emissions have been obtained taking into account the amount of biomass burnt and variable burning intensity. The proposed method allows the mass of burned forest fuel materials (FFM) and direct fire emissions to be estimated quantitatively at a level 14-21% lower than the values calculated with the help of standard approaches. The estimates of direct carbon emissions in the given time interval of 2002-2016 were 83 +/- 21 Tg/year on average, which is 17% lower than the value 112 +/- 25 Tg/year obtained with the standard method.

WOS

Держатели документа:
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Fed Res Ctr KSC SB RAS, Krasnoyarsk, Russia.
Fed Res Ctr KSC SB RAS, Joint Reg Ctr Remote Sensing, Krasnoyarsk, Russia.
Russian Acad Sci, Kutateladze Inst Thermophys, Siberian Branch, Novosibirsk, Russia.

Доп.точки доступа:
Ponomarev, E. I.; Shvetsov, E. G.; Litvintsev, K. Yu.; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR); Government of the Krasnoyarsk Region; Krasnoyarsk krai Foundation for Research and Development Support [17-41-240475]

/ A. V. Demina, L. V. Belokopytova, D. F. Zhirnova [et al.] // Dendrochronologia. - 2022. - Vol. 71. - Ст. 125903, DOI 10.1016/j.dendro.2021.125903 . - ISSN 1125-7865
Аннотация: Tree rings from forest-steppes of temperate continental Asia are useful proxies for the moisture regime reconstructions, encompassing environmental variations such as warming climate, changing frequency and intensity of droughts. Heterogeneity of precipitation leaves open the question of the probability of spatially large-scale droughts in this macro-region. Theoretically, such events could be driven by global tele-connections and/or common astronomic cycles. We have attempted the precipitation reconstructions of two distant (~1000 km) intermountain valleys in South Siberia, based on the tree ring width of Pinus sylvestris L. To enhance the quality of the precipitation reconstruction models, networks of existing tree-ring data were expanded and daily precision of instrumental precipitation series was implemented for calibration. Within-region (150–200 km) common signal between local chronologies r = 0.37–0.90 (p < 0.05) allowed obtaining regional ones, registering precipitation up to annual temporal scale. High correlations of both regional chronologies with annual precipitation were found for period from previous July 22 to current July 21 (r = 0.71–0.72). These precipitation series were further reconstructed. Reconstruction models explaining 50–52% of variation were developed for the years 1753–2015 and 1798–2015. Although both valleys do not record many concurrent extreme precipitation events, some common and opposite extremes have been revealed. For both regions, an 11-year and 26–29-year cycles were commonly observed. These were probably associated with the solar activity and Pacific Decadal Oscillation (PDO). However, phase shifts of these cycles were recorded between the regions and with PDO. Stronger impact of oceanic air masses was observed in the eastern one of the two considered territories. Whereas higher significance of frequencies associated with astronomic cycles (solar and lunar-nodal) was found in the western one. Data availability: Temperature and precipitation series of climatic stations were obtained from the website of All-Russia Research Institute of Hydrometeorological Information, World Data Centre (RIHMI-WDC, http://meteo.ru/data). Other climatic time series and solar activity series were obtained from the website of The Royal Netherlands Meteorological Institute (KNMI) Climate Explorer (https://climexp.knmi.nl). Used in the study tree-ring width measurements will be submitted to the International Tree-Ring Data Bank (ITRDB; https://www.ncei.noaa.gov/products/paleoclimatology/tree-ring) upon publication of the manuscript and with reference to it. © 2021 Elsevier GmbH

Scopus

Держатели документа:
Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina st, Abakan, 655017, Russian Federation
Birbal Sahni Institute of Palaeosciences, 53 University Road, Lucknow, 226007, India
Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation
Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, 50 bil. 28, Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Demina, A. V.; Belokopytova, L. V.; Zhirnova, D. F.; Mehrotra, N.; Shah, S. K.; Babushkina, E. A.; Vaganov, E. A.