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

[Text] / B. D. Kloeppel [et al.] // Oecologia. - 1998. - Vol. 114, Is. 2. - P153-159, DOI 10.1007/s004420050431. - Cited References: 45 . - 7. - ISSN 0029-8549РУБ Ecology

Аннотация: Larches (Larix spp.), deciduous conifers, occur in the northern hemisphere in cold-temperate and boreal climates - an environment normally thought to favor ever-green tree species. We compare foliar carbon isotope discrimination (Delta), instantaneous water use efficiency, total foliar nitrogen concentration, and specific leaf area (for a subset of sites) between Larix spp. and co-occurring evergreen conifers at 20 sites throughout the natural range of larches. Except for Larix occidentalis in the xeric Intermountain West, USA, Delta is significantly (P < 0.05) greater for larches than co-occurring evergreen conifers at 77% of the sites, suggesting that larches use water less efficiently. At elevations greater than 3000 m, the Delta of Lar ix-spp. and co-occurring conifers converge, suggesting that water is not the limiting resource. Foliar nitrogen concentration and specific leaf area are two ecophysiological characteristics that are positively correlated with high photosynthetic capacity. Foliar nitrogen concentration is significantly greater for larches than evergreen conifers at 88% of the sites and specific leaf area is approximately three times greater for larches than co-occurring conifers. Future studies should examine the potential effect that global warming may have on the distribution of larch forests because the water use efficiency of larches is commonly less than cooccurring evergreen conifers and the boreal and high-latitude environments are likely to experience the greatest climate warming.

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Univ Wisconsin, Dept Forest Ecol & Management, Madison, WI 53706 USA
Univ Wisconsin, Dept Chem, Madison, WI 53706 USA
Russian Acad Sci, Sukachev Forest Inst, Krasnoyarsk 660036, Russia

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Kloeppel, B.D.; Gower, S.T.; Treichel, I.W.; Kharuk, S...

/ P. M. Montesano [et al.] // Remote Sens. Environ. - 2014. - Vol. 154. - P398-407, DOI 10.1016/j.rse.2014.01.027 . - ISSN 0034-4257
Аннотация: In this study, we examined the uncertainty of aboveground live biomass (AGB) estimates based on light detection and ranging (LiDAR) and synthetic aperture radar (SAR) measurements distributed across a low-biomass vegetation structure gradient from forest to non-forest in boreal-like ecosystems. The conifer-dominant structure gradient was compiled from ground data amassed from multiple field expeditions in central Maine (USA), Aurskog (Norway), and across central Siberia (Russia). Single variable empirical models were built to model AGB from remote sensing metrics. Using these models, we calculated a root mean square error (RMSE) and a 95% confidence interval (CI) of the RMSE from the difference between the remote sensing AGB predictions and the ground reference AGB estimates within AGB intervals across a 0-100Mgha-1 boreal forest structure gradient. The results show that the error in AGB predictions (RMSE) and the error uncertainty (the CI) from LiDAR and SAR change across a forest gradient. The errors of airborne LiDAR and SAR metrics and spaceborne LiDAR platforms show a general trend of reduced relative errors as AGB magnitudes increase, particularly from 0 to 60Mgha-1. Empirical models relating spaceborne metrics to AGB and estimates of spaceborne LiDAR error uncertainty demonstrate the difficulty of characterizing differences in AGB at the site-level with current spaceborne sensors, particularly below 80Mgha-1 with less than 50-100% error.

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University of Maryland, Department of Geographical SciencesCollege Park, MD, United States
Sigma Space Corp.Lanham, MD, United States
Code 618,Biospheric Sciences Branch, NASA/Goddard Space Flight CenterGreenbelt, MD, United States
Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, P.O. Box 5003As, Norway
Sukachev Institute of Forest, Siberian Branch, Russian Academy of SciencesAkademgorodok, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Montesano, P.M.; Nelson, R.F.; Dubayah, R.O.; Sun, G.; Cook, B.D.; Ranson, K.J.R.; N?sset, E.; Kharuk, V.

[Text] / P. M. Montesano [et al.] // Remote Sens. Environ. - 2015. - Vol. 158. - P95-109, DOI 10.1016/j.rse.2014.10.029. - Cited References:90. - This work was supported by the NASA Terrestrial Ecology Program. Weacknowledge the expertise of Sergey Im, Pasha Oskorbin and MukhtarNaurzbaev that was critical to the success of various field expeditionsin remote areas of northern Siberia. We also acknowledge the importanceof the constructive criticism provided by the anonymous reviewers whohelped improve this manuscript. . - ISSN 0034-4257. - ISSN 1879-0704РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic

Аннотация: The Forest Light (FLIGHT) radiative transfer model was used to examine the uncertainty of vegetation structure measurements from NASA's planned ICESat-2 photon counting light detection and ranging (LiDAR) instrument across a synthetic Larix forest gradient in the taiga-tundra ecotone. The simulations demonstrate how measurements from the planned spaceborne mission, which differ from those of previous LiDAR systems, may perform across a boreal forest to non-forest structure gradient in globally important ecological region of northern Siberia. We used a modified version of FLIGHT to simulate the acquisition parameters of ICESat-2. Modeled returns were analyzed from collections of sequential footprints along LiDAR tracks (link-scales) of lengths ranging from 20 m-90 m. These link-scales traversed synthetic forest stands that were initialized with parameters drawn from field surveys in Siberian Larix forests. LiDAR returns from vegetation were compiled for 100 simulated LiDAR collections for each 10 Mg . ha(-1) interval in the 0-100 Mg . ha-1 above-ground biomass density (AGB) forest gradient. Canopy height metrics were computed and AGB was inferred from empirical models. The root mean square error (RMSE) and RMSE uncertainty associated with the distribution of inferred AGB within each AGB interval across the gradient was examined.Simulation results of the bright daylight and low vegetation reflectivity conditions for collecting photon counting LiDAR with no topographic relief show that 1-2 photons are returned for 79%-88% of LiDAR shots. Signal photons account for similar to 67% of all LiDAR returns, while similar to 50% of shots result in 1 signal photon returned. The proportion of these signal photon returns do not differ significantly (p > 0.05) for AGB intervals >20 Mg . ha(-1). The 50 m link-scale approximates the finest horizontal resolution (length) at which photon counting LiDAR collection provides strong model fits and minimizes forest structure uncertainty in the synthetic Larix stands. At this link-scale AGB >20 Mg . ha(-1) has AGB error from 20-50% at the 95% confidence level. These results suggest that the theoretical sensitivity of ICESat-2 photon counting LiDAR measurements alone lack the ability to consistently discern differences in inferred AGB at 10 Mg . ha-1 intervals in sparse forests characteristic of the taiga-tundra ecotone. (C) 2014 Elsevier Inc. All rights reserved.

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Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA.
Sigma Space Corp, Lanham, MD 20706 USA.
NASA, Goddard Space Flight Ctr, Biospher Sci Branch, Greenbelt, MD 20771 USA.
Swansea Univ, Dept Geog, Swansea SA2 8PP, W Glam, Wales.
No Res Stn, Roslin EH26 9SY, Midlothian, Scotland.
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia.
ИЛ СО РАН

Доп.точки доступа:
Montesano, P. M.; Rosette, J.; Sun, G.; North, P.; Nelson, R.F.; Dubayah, R.O.; Ranson, K.J.; Kharuk, V.; NASA Terrestrial Ecology Program

[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 1208-6037РУБ 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.

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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]

[Text] / Y. L. Liu [et al.] // J. Geophys. Res.-Atmos. - 2015. - Vol. 120, Is. 7. - P2647-2660, DOI 10.1002/2014JD022531. - Cited References:61. - This research is supported by the NASA Land Use and Land Cover Change program (NASA-NNX09AI26G, NN-H-04-Z-YS-005-N, and NNX09AM55G); the Department of Energy (DE-FG02-08ER64599); the National Science Foundation (NSF-1028291, NSF-0919331, and AGS 0847472); and the NSF Carbon and Water in the Earth Program (NSF-0630319). D.G.M. acknowledges financial support from The Netherlands Organisation for Scientific Research (NWO) Veni grant 863.14.004. We acknowledge the Global Runoff Data Centre for the provision of the gauge station data. Runoff data in Peterson et al. [2002] were obtained from the R-ArcticNet database. A special acknowledgment is made to Brigitte Mueller and Martin Hirschi for the provision of the LandFlux-EVAL data set. Eddy covariance measurements were obtained from http://www.asianflux.com and http://gaia.agraria.unitus.it/, and meteorological station measurements were taken from ECA&D and CMA. We also acknowledge the different institutes developing and distributing the forcing climate data: University of East Anglia, ECMWF, NASA, NCEP/NCAR, and Princeton University. For model input files, source codes, and results, contact Q.Z. . - ISSN 2169-897X. - ISSN 2169-8996РУБ Meteorology & Atmospheric Sciences

Аннотация: The ecosystems in Northern Eurasia (NE) play an important role in the global water cycle and the climate system. While evapotranspiration (ET) is a critical variable to understand this role, ET over this region remains largely unstudied. Using an improved version of the Terrestrial Ecosystem Model with five widely used forcing data sets, we examine the impact that uncertainties in climate forcing data have on the magnitude, variability, and dominant climatic drivers of ET for the period 1979-2008. Estimates of regional average ET vary in the range of 241.4-335.7mmyr(-1) depending on the choice of forcing data. This range corresponds to as much as 32% of the mean ET. Meanwhile, the spatial patterns of long-term average ET across NE are generally consistent for all forcing data sets. Our ET estimates in NE are largely affected by uncertainties in precipitation (P), air temperature (T), incoming shortwave radiation (R), and vapor pressure deficit (VPD). During the growing season, the correlations between ET and each forcing variable indicate that T is the dominant factor in the north and P in the south. Unsurprisingly, the uncertainties in climate forcing data propagate as well to estimates of the volume of water available for runoff (here defined as P-ET). While the Climate Research Unit data set is overall the best choice of forcing data in NE according to our assessment, the quality of these forcing data sets remains a major challenge to accurately quantify the regional water balance in NE. Key Points

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Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA.
Purdue Univ, Dept Agron, W Lafayette, IN 47907 USA.
Vrije Univ Amsterdam, Dept Earth Sci, Amsterdam, Netherlands.
Univ Ghent, Lab Hydrol & Water Management, B-9000 Ghent, Belgium.
China Agr Univ, Coll Resources & Environm Sci, Beijing 100094, Peoples R China.
Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA.
Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Div Earth Sci, Climate Sci Dept, Berkeley, CA 94720 USA.
Michigan State Univ, CGCEO Geog, E Lansing, MI 48824 USA.
Russian Acad Sci, VN Sukachev Inst Forest, Siberian Branch, Krasnoyarsk, Russia.
Russian Acad Sci, Inst Forest Sci, Lab Peatland Forestry & Ameliorat, Uspenskoye, Russia.

Доп.точки доступа:
Liu, Yaling; Zhuang, Qianlai; Miralles, Diego; Pan, Zhihua; Kicklighter, David; Zhu, Qing; He, Yujie; Chen, Jiquan; Tchebakova, Nadja; Sirin, Andrey; Niyogi, Dev; Melillo, Jerry; NASA [NASA-NNX09AI26G, NN-H-04-Z-YS-005-N, NNX09AM55G]; Department of Energy [DE-FG02-08ER64599]; National Science Foundation [NSF-1028291, NSF-0919331, AGS 0847472]; NSF [NSF-0630319]; Netherlands Organisation for Scientific Research (NWO) [863.14.004]

[Text] / N. Gentsch [et al.] // Biogeosciences. - 2015. - Vol. 12, Is. 14. - P4525-4542, DOI 10.5194/bg-12-4525-2015. - Cited References:95. - Financial support was provided by the German Federal Ministry of Education and Research (03F0616A) within the ERANET EUROPOLAR project CryoCARB. N. Gentsch appreciates financial support by the Evangelisches Studienwerk Villigst, and O. Shibistova and G. Guggenberger acknowledge funding by the Russian Ministry of Education and Science (no. 14.B25.31.0031). Contributions from P. Kuhry, G. Hugelius, and J. Palmtag were supported by the Swedish Research Council within the ERANET EUROPOLAR project CryoCARB. Special thanks go to Claudia Borchers for in-depth statistical discussions, Charles Tarnocai for helpful comments on soil descriptions, and all members of the CryoCARB project for the incredible team spirit. We acknowledge support from the Deutsche Forschungsgemeinschaft and the Open Access Publishing Fund of the Leibniz Universitat Hannover. . - ISSN 1726-4170. - ISSN 1726-4189РУБ Ecology + Geosciences, Multidisciplinary

Аннотация: In permafrost soils, the temperature regime and the resulting cryogenic processes are important determinants of the storage of organic carbon (OC) and its small-scale spatial variability. For cryoturbated soils, there is a lack of research assessing pedon-scale heterogeneity in OC stocks and the transformation of functionally different organic matter (OM) fractions, such as particulate and mineral-associated OM. Therefore, pedons of 28 Turbels were sampled in 5m wide soil trenches across the Siberian Arctic to calculate OC and total nitrogen (TN) stocks based on digital profile mapping. Density fractionation of soil samples was performed to distinguish between particulate OM (light fraction, LF, 1.6 g cm(-3)), mineral associated OM (heavy fraction, HF, 1.6 g cm(-3)), and a mobilizable dissolved pool (mobilizable fraction, MoF). Across all investigated soil profiles, the total OC storage was 20.2 +/- 8.0 kgm(-2) (mean +/- SD) to 100 cm soil depth. Fifty-four percent of this OC was located in the horizons of the active layer (annual summer thawing layer), showing evidence of cryoturbation, and another 35% was present in the upper permafrost. The HF-OC dominated the overall OC stocks (55 %), followed by LF-OC (19% in mineral and 13% in organic horizons). During fractionation, approximately 13% of the OC was released as MoF, which likely represents a readily bioavailable OM pool. Cryogenic activity in combination with cold and wet conditions was the principle mechanism through which large OC stocks were sequestered in the subsoil (16.4 +/- 8.1 kgm(-2); all mineral B, C, and permafrost horizons). Approximately 22% of the subsoil OC stock can be attributed to LF material subducted by cryoturbation, whereas migration of soluble OM along freezing gradients appeared to be the principle source of the dominant HF (63 %) in the subsoil. Despite the unfavourable abiotic conditions, low C/N ratios and high delta C-13 values indicated substantial microbial OM transformation in the subsoil, but this was not reflected in altered LF and HF pool sizes. Partial least-squares regression analyses suggest that OC accumulates in the HF fraction due to co-precipitation with multivalent cations (Al, Fe) and association with poorly crystalline iron oxides and clay minerals. Our data show that, across all permafrost pedons, the mineral-associated OM represents the dominant OM fraction, suggesting that the HF-OC is the OM pool in permafrost soils on which changing soil conditions will have the largest impact.

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Leibniz Univ Hannover, Inst Soil Sci, Hannover, Germany.
Univ Halle Wittenberg, Soil Sci, D-06108 Halle, Germany.
Univ Vienna, Dept Ecogen & Syst Biol, Vienna, Austria.
Univ South Bohemia, Dept Ecosyst Biol, Ceske Budejovice, Czech Republic.
Aarhus Univ, Ctr Geomicrobiol, Aarhus, Denmark.
Stockholm Univ, Dept Phys Geog & Quaternary Geol, S-10691 Stockholm, Sweden.
Russian Acad Sci, Siberian Branch, Cent Siberian Bot Garden, Novosibirsk, Russia.
Univ Vienna, Dept Microbiol & Ecosyst Sci, Vienna, Austria.
Austrian Polar Res Inst, Vienna, Austria.
Univ New Hampshire, Dept Nat Resources & Environm, Durham, NH 03824 USA.
Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk, Russia.
Univ Gothenburg, Dept Earth Sci, Gothenburg, Sweden.

Доп.точки доступа:
Gentsch, N.; Mikutta, R.; Alves, R. J. E.; Barta, J.; Capek, P.; Gittel, A.; Hugelius, G.; Kuhry, P.; Lashchinskiy, N.; Palmtag, J.; Richter, A.; Santruckova, H.; Schnecker, J.; Shibistova, O.; Urich, T.; Wild, B.; Guggenberger, G.; German Federal Ministry of Education and Research within ERANET EUROPOLAR CryoCARB [03F0616A]; Evangelisches Studienwerk Villigst; Russian Ministry of Education and Science [14.B25.31.0031]; Deutsche Forschungsgemeinschaft; Open Access Publishing Fund of the Leibniz Universitat Hannover

[Text] / L. A. Diemer [et al.] // Freshw. Sci. - 2015. - Vol. 34, Is. 4. - P1443-1456, DOI 10.1086/683481. - Cited References:63. - We thank the Russian and American researchers and volunteers and the University of New Hampshire (UNH) Water Quality Analysis Laboratory technicians for their assistance in the field and laboratory. Special thanks to Alison Appling, Wilfred Wollheim, Jody Potter, and 2 anonymous referees for their suggestions on the manuscript. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. 147640. We also acknowledge the research support of the Russian Fund for Basic Research No. 14-05-00420 and the Russian Ministry of Education No. 14.B25.31.0031. This research was taken from a thesis submitted to the Graduate School at the University of New Hampshire as part of the requirements for completion of a MS degree (Diemer 2014). . - ISSN 2161-9549. - ISSN 2161-9565РУБ Ecology + Marine & Freshwater Biology

Аннотация: Fire can transform the boreal forest landscape, thereby leading to potential changes in the loading of organic matter and nutrients to receiving streams and in the retention or transformation of these inputs within the drainage network. We used the Tracer Additions for Spiraling Curve Characterization (TASCC) method to conduct 17 nutrient-addition experiments (9 single additions of NO3- and 8 combined additions of NH4+ and PO43-) in 5 boreal headwater streams underlain by continuous permafrost and draining watersheds with a range of burn histories (4->100 y since last burn) in the Nizhnyaya Tunguska River watershed in Central Siberia. Hydrology, ambient nutrient concentration, and the ratio of dissolved organic C (DOC) to nutrients drove rates of nutrient uptake in the streams. Nutrients were taken up with greater efficiency and magnitude under conditions with high flow and reduced diffusive boundary layer (DBL), regardless of watershed burn history. Ambient molar ratio of DOC: PO43- explained some variation in ambient uptake velocity (upsilon(f)) for NH4+ and PO43-. We also observed tight coupling between ambient rates of NH4+ and PO43- uptake across the watershed burn-history gradient. These data suggest that fire-driven changes in stream chemistry may alter N and P retention and subsequent export of materials to downstream receiving waters. Climate change is likely to enhance the frequency and intensity of boreal forest fires and alter the extent of permafrost. Therefore, understanding the interactions among C, N, and P in these Arctic systems has important implications for global biogeochemical cycling.

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Держатели документа:
Univ New Hampshire, Dept Nat Resources, Durham, NH 03824 USA.
Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk, Russia.

Доп.точки доступа:
Diemer, Laura A.; McDowell, William H.; Wymore, Adam S.; Prokushkin, Anatoly S.; National Science Foundation Graduate Research Fellowship Program [147640]; Russian Fund for Basic Research [14-05-00420]; Russian Ministry of Education [14.B25.31.0031]

[Text] / V. L. Semerikov [et al.] // Russ. J. Genet. - 2015. - Vol. 51, Is. 12. - P1199-1203, DOI 10.1134/S1022795415120108. - Cited References:20. - We thank Y.Y. Hhrunyk, A. I. Vidjakin, V.V. Tarakanov, E.V. Hantemirova, and I.V. Tikhonova for assistance with the pine material collection. The study was supported by Russian Foundation for Basic Research (grant 13-04-01028) and by Russian Federation Government (grant 14.Y26.31.0004). . - ISSN 1022-7954. - ISSN 1608-3369РУБ Genetics & Heredity

Аннотация: Fragments of genomic DNA of Scots pine (Pinus sylvestris L.) homologous to the mitochondrial DNA (mtDNA) contigs of Norway spruce (Picea abies (L.) Karst.) and loblolly pine (Pinus taeda L.) were resequenced in a sample of the Scots pine trees of European, Siberian, Mongolian, and Caucasian origin in order to develop mtDNA markers. Flanking non-coding regions of some mitochondrial genes were also investigated and resequenced. Five single nucleotide polymorphisms (SNPs) and a single minisatellite locus were identified. Caucasian samples differed from the rest by three SNPs. Two SNPs have been linked to an early described marker in the first intron of the nad7 gene, and all together revealed three haplotypes in European populations. No variable SNPs were found in the Siberian and Mongolian populations. The minisatellite locus contained 41 alleles across European, Siberian, and Mongolian populations, but, this locus demonstrated a weak population differentiation (F (ST) = 5.8), probably due to its high mutation rate.

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Держатели документа:
Russian Acad Sci, Ural Branch, Inst Plant & Anim Ecol, Ekaterinburg 620144, Russia.
Siberian Fed Univ, Genome Res & Educ Ctr, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia.
Univ Gottingen, D-37077 Gottingen, Germany.
Russian Acad Sci, Vavilov Inst Gen Genet, Moscow 119991, Russia.
Texas A&M Univ, College Stn, TX 77843 USA.

Доп.точки доступа:
Semerikov, V. L.; Putintseva, Yu. A.; Oreshkova, N. V.; Semerikova, S. A.; Krutovsky, K. V.; Russian Foundation for Basic Research [13-04-01028]; Russian Federation Government [14.Y26.31.0004]

[Text] / V. I. Kharuk [et al.] // Environ. Res. Lett. - 2015. - Vol. 12, Is. 12. - Ст. 125006, DOI 10.1088/1748-9326/10/12/125006. - Cited References:54. - The Russian Science Foundation (grant #14-24-00112) primarily supported this research. Additional support for K J Ranson by NASA's Terrestrial Ecology program is acknowledged. . - ISSN 1748-9326РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Аннотация: The aim of this work is an analysis of the causes of spruce (Picea abies L.) decline and mortality in Belarus. The analysis was based on forest inventory and Landsat satellite (land cover classification, climate variables (air temperature, precipitation, evaporation, vapor pressure deficit, SPEI drought index)), and GRACE-derived soil moisture estimation (equivalent of water thickness anomalies, EWTA). We found a difference in spatial patterns between dead stands and all stands (i.e., before mortality). Dead stands were located preferentially on relief features with higher water stress risk (i.e., higher elevations, steeper slopes, south and southwestern exposure). Spruce mortality followed a series of repeated droughts between 1990 and 2010. Mortality was negatively correlated with air humidity (r = -0.52), and precipitation (r = -0.57), and positively correlated with the prior year vapor pressure deficit (r = 0.47), and drought increase (r = 0.57). Mortality increased with the increase in occurrence of spring frosts (r = 0.5), and decreased with an increase in winter cloud cover (r = -0.37). Spruce mortality was negatively correlated with snow water accumulation (r = -0.81) and previous year anomalies in water soil content (r = -0.8). Weakened by water stress, spruce stands were attacked by pests and phytopathogens. Overall, spruce mortality in Belarussian forests was caused by drought episodes and drought increase in synergy with pest and phytopathogen attacks. Vast Picea abies mortality in Belarus and adjacent areas of Russia and Eastern Europe is a result of low adaptation of that species to increased drought. This indicates the necessity of spruce replacement by drought-tolerant indigenous (e.g., Pinus sylvestris, Querqus robur) or introduced (e.g., Larix sp. or Pseudotsuga menzieslii) species to obtain sustainable forest growth management.

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VN Sukachev Inst Forest SB RAS, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Siberian State Aerosp Univ, Krasnoyarsk, Russia.
NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA.

Доп.точки доступа:
Kharuk, Viacheslav I.; Im, Sergei T.; Dvinskaya, Maria L.; Golukov, Alexei S.; Ranson, Kenneth J.; Russian Science Foundation [14-24-00112]; NASA's Terrestrial Ecology program

[Text] / N. Kirichenko [et al.] // ZooKeys. - 2016. - Is. 579. - P99-156, DOI 10.3897/zookeys.579.7166. - Cited References:68. - We are grateful to the team at the Biodiversity Institute of Ontario, University of Guelph, Ontario, Canada for their great assistance in the production of DNA barcodes. Funding for DNA barcoding and sequence analysis was partly provided by the Government of Canada through Genome Canada and the Ontario Genomics Institute in support of the International Barcode of Life project, and by NSERC. Genetic analyses were also partly funded by INRA, UR0633 Zoologie Forestiere's core funding. Our work was also aided by the BOLD informatics platform whose development is funded by the Ontario Ministry of Economic Development and Innovation. NK was supported by a fellowship of LE STUDIUM (R), France and the Russian foundation for basic research (grant No 15-29-02645). . - ISSN 1313-2989. - ISSN 1313-2970РУБ Zoology

Аннотация: During a DNA barcoding campaign of leaf-mining insects from Siberia, a genetically divergent lineage of a gracillariid belonging to the genus Micrurapteryx was discovered, whose larvae developed on Caragana Fabr. and Medicago L. (Fabaceae). Specimens from Siberia showed similar external morphology to the Palearctic Micrurapteryx gradatella and the Nearctic Parectopa occulta but differed in male genitalia, DNA barcodes, and nuclear genes histone H3 and 28S. Members of this lineage are re-described here as Micrurapteryx caraganella (Hering, 1957), comb. n., an available name published with only a brief description of its larva and leaf mine. Micrurapteryx caraganella is widely distributed throughout Siberia, from Tyumen oblast in the West to Transbaikalia in the East. Occasionally it may severely affect its main host, Caragana arborescens Lam. This species has been confused in the past with Micrurapreryx gradatella in Siberia, but field observations confirm that M. gradatella exists in Siberia and is sympatric with M. caraganella, at least in the Krasnoyarsk region, where it feeds on different host plants (Vicia amoena Fisch. and Vicia sp.). In addition, based on both morphological and molecular evidence as well as examination of type specimens, the North American Parectopa occulta Braun, 1922 and Parectopa albicostella Braun, 1925 are transferred to Micrurapteryx as M. occulta (Braun, 1922), comb. n. with albicostella as its junior synonym (syn. n.). Characters used to distinguish Micrurapteryx from Parectopa are presented and illustrated. These findings provide another example of the potential of DNA barcoding to reveal overlooked species and illuminate nomenclatural problems.

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Держатели документа:
Sukachev Inst Forest SB RAS, Akademgorodok 50-28, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, 79 Svobodny Pr, Krasnoyarsk 660041, Russia.
INRA, Zool Forestiere UR0633, F-45075 Orleans, France.
Museo Civ Storia Nat, Lungadige Porta Vittoria 9, I-37129 Verona, Italy.
Univ Oulu, Dept Genet & Physiol, POB 3000, FI-90014 Oulu, Finland.
Agr & Agri Food Canada, Ottawa Res & Dev Ctr, Cent Expt Farm, Ottawa, ON K1A 0C6, Canada.
Univ Tours, Inst Rech Biol Insecte, CNRS UMR 7261, UFR Sci & Tech, F-37200 Tours, France.

Доп.точки доступа:
Kirichenko, Natalia; Triberti, Paolo; Mutanen, Marko; Magnoux, Emmanuelle; Landry, Jean-Francois; Lopez-Vaamonde, Carlos; Government of Canada through Genome Canada; Ontario Genomics Institute; NSERC; INRA [UR0633]; Ontario Ministry of Economic Development and Innovation; LE STUDIUM(R), France; Russian foundation for basic research [15-29-02645]

[Text] / B. Wild [et al.] // Sci Rep. - 2016. - Vol. 6. - Ст. 25607, DOI 10.1038/srep25607. - Cited References:52. - This study is part of the CryoCARB project (Long-term Carbon Storage in Cryoturbated Arctic Soils), and co-funded by the Austrian Science Fund (FWF): I370-B17, the German Federal Ministry of Education and Research (03F0616A), the Czech Ministry of Education, Youth and Sports (MSM 7E10073 - CryoCARB), the Russian Ministry of Education and Science (No. 14.25.31.0031), the Swedish Research Council (824-2009-77357), and the Norwegian Research Fund (NFR): NFR-200411. . - ISSN 2045-2322РУБ Multidisciplinary Sciences

Аннотация: Arctic ecosystems are warming rapidly, which is expected to promote soil organic matter (SOM) decomposition. In addition to the direct warming effect, decomposition can also be indirectly stimulated via increased plant productivity and plant-soil C allocation, and this so called "priming effect" might significantly alter the ecosystem C balance. In this study, we provide first mechanistic insights into the susceptibility of SOM decomposition in arctic permafrost soils to priming. By comparing 119 soils from four locations across the Siberian Arctic that cover all horizons of active layer and upper permafrost, we found that an increased availability of plant-derived organic C particularly stimulated decomposition in subsoil horizons where most of the arctic soil carbon is located. Considering the 1,035 Pg of arctic soil carbon, such an additional stimulation of decomposition beyond the direct temperature effect can accelerate net ecosystem C losses, and amplify the positive feedback to global warming.

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Держатели документа:
Univ Vienna, Dept Microbiol & Ecosyst Sci, Vienna, Austria.
Austrian Polar Res Inst, Vienna, Austria.
Univ Gothenburg, Dept Earth Sci, Gothenburg, Sweden.
Leibniz Univ Hannover, Inst Soil Sci, D-30167 Hannover, Germany.
Univ South Bohemia, Dept Ecosyst Biol, Ceske Budejovice, Czech Republic.
Univ Vienna, Dept Ecogen & Syst Biol, Vienna, Austria.
Univ Bergen, Dept Biol, Ctr Geobiol, Bergen, Norway.
Ctr Geomicrobiol, Dept Biosci, Aarhus, Denmark.
Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden.
Russian Acad Sci, Siberian Branch, Cent Siberian Bot Garden, Novosibirsk, Russia.
Univ Halle Wittenberg, Soil Sci & Soil Protect, D-06108 Halle, Saale, Germany.
Univ New Hampshire, Dept Nat Resources & Environm, Durham, NH 03824 USA.
Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk, Russia.
Univ Lancaster, Lancaster Environm Ctr, Lancaster, England.
Ernst Moritz Arndt Univ Greifswald, Inst Microbiol, Greifswald, Germany.

Доп.точки доступа:
Wild, Birgit; Gentsch, Norman; Capek, Petr; Diakova, Katerina; Alves, Ricardo J. Eloy; Barta, Jiri; Gittel, Antje; Hugelius, Gustaf; Knoltsch, Anna; Kuhry, Peter; Lashchinskiy, Nikolay; Mikutta, Robert; Palmtag, Juri; Schleper, Christa; Schnecker, Joerg; Shibistova, Olga; Takriti, Mounir; Torsvik, Vigdis L.; Urich, Tim; Watzka, Margarete; Santruckova, Hana; Guggenberger, Georg; Richter, Andreas; CryoCARB project (Long-term Carbon Storage in Cryoturbated Arctic Soils); Austrian Science Fund (FWF) [I370-B17]; German Federal Ministry of Education and Research [03F0616A]; Czech Ministry of Education, Youth and Sports (MSM) [7E10073]; Russian Ministry of Education and Science [14.25.31.0031]; Swedish Research Council [824-2009-77357]; Norwegian Research Fund (NFR) [NFR-200411]

[Text] / S. Tautenhahn [et al.] // Glob. Change Biol. - 2016. - Vol. 22, Is. 6. - P2178-2197, DOI 10.1111/gcb.13181. - Cited References:94. - We thank Danilo Mollicone, Marina Bryukhanova, Alexey Panov, and Sergey Verkhovets for their help preparing the expeditions. This work would not have been possible without the hard work in the field of Jan Hertwig, Waldemar Ziegler, Ulrich Pruschitzki, Norman Gentsch, Luisa Hiese, Surgery Titov, Vladimir Kislitsyn, Kolya Savaronsky, and Roman Bachman. Henrik Hartmann, Angela Gunther, and Corinna Hohl assisted with dendrochronological analysis. Miguel Mahecha, Jannis van Buttlar, and Ulrich Weber helped with R and the artwork. Corinna Buendia gave helpful comments on a early stage of the manuscript. We thank three anonymous reviewers for their valuable input. The project was funded by the Max Planck Society. Anatoly Prokushkin was supported by the RSF grant 14-24-00113. . - ISSN 1354-1013. - ISSN 1365-2486РУБ Biodiversity Conservation + Ecology + Environmental Sciences

Аннотация: Fire is a primary driver of boreal forest dynamics. Intensifying fire regimes due to climate change may cause a shift in boreal forest composition toward reduced dominance of conifers and greater abundance of deciduous hardwoods, with potential biogeochemical and biophysical feedbacks to regional and global climate. This shift has already been observed in some North American boreal forests and has been attributed to changes in site conditions. However, it is unknown if the mechanisms controlling fire-induced changes in deciduous hardwood cover are similar among different boreal forests, which differ in the ecological traits of the dominant tree species. To better understand the consequences of intensifying fire regimes in boreal forests, we studied postfire regeneration in five burns in the Central Siberian dark taiga, a vast but poorly studied boreal region. We combined field measurements, dendrochronological analysis, and seed-source maps derived from high-resolution satellite images to quantify the importance of site conditions (e.g., organic layer depth) vs. seed availability in shaping postfire regeneration. We show that dispersal limitation of evergreen conifers was the main factor determining postfire regeneration composition and density. Site conditions had significant but weaker effects. We used information on postfire regeneration to develop a classification scheme for successional pathways, representing the dominance of deciduous hardwoods vs. evergreen conifers at different successional stages. We estimated the spatial distribution of different successional pathways under alternative fire regime scenarios. Under intensified fire regimes, dispersal limitation of evergreen conifers is predicted to become more severe, primarily due to reduced abundance of surviving seed sources within burned areas. Increased dispersal limitation of evergreen conifers, in turn, is predicted to increase the prevalence of successional pathways dominated by deciduous hardwoods. The likely fire-induced shift toward greater deciduous hardwood cover may affect climate-vegetation feedbacks via surface albedo, Bowen ratio, and carbon cycling.

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Держатели документа:
Max Planck Inst Biogeochem, Hans Knoll Str 10, D-07745 Jena, Germany.
Tech Univ Bergakad Freiberg, Dept Biosci, Leipziger Str 29, D-09596 Freiberg, Germany.
Univ Florida, Dept Biol, Gainesville, FL 32611 USA.
German Ctr Integrat Biodivers Res iDiv, Deutsch Pl 5e, D-04103 Leipzig, Germany.
Univ Florida, Sch Forest Resources & Conservat, Gainesville, FL 32611 USA.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Akademgorodok 50-28, Krasnoyarsk 660036, Russia.
Univ Leipzig, Johannisallee 21-23, D-04103 Leipzig, Germany.

Доп.точки доступа:
Tautenhahn, Susanne; Lichstein, Jeremy W.; Jung, Martin; Kattge, Jens; Bohlman, Stephanie A.; Heilmeier, Hermann; Prokushkin, Anatoly; Kahl, Anja; Wirth, Christian; Max Planck Society; RSF [14-24-00113]

[Text] / A. Kononov [et al.] // Agric. For. Entomol. - 2016. - Vol. 18, Is. 3. - P294-301, DOI 10.1111/afe.12161. - Cited References:40. - We especially thank our colleagues who provided us with material for the present study. In Russia, beetles were collected by S. Krivets and I. Kerchev (West Siberia and Primorsky Krai); G. Yurchenko (Khabarovsk Province); Yu. Gninenko (Sakhalin Island); K. Tchilahsayeva and L. Seraya (Moscow Province and suburbs); and D. Demidko (Khakasiya). H. Masuya kindly collected beetles in Japan. This work was supported in part by the Russian Foundation for Fundamental Research (Project No. 14-04-01235a); the Siberian branch of the Russian Academy of Sciences (Project No. VI.52.2.6); and the State scientific project (Project No. 0324-2015-0003). . - ISSN 1461-9555. - ISSN 1461-9563РУБ Entomology

Аннотация: 1 The four-eyed fir bark beetle Polygraphus proximus Blandf., native in Far Eastern Eurasia and nearby islands, is an invasive pest of fir trees in Siberian and European parts of Russia. Its invasion has been overlooked and was only finally appreciated in 2008. 2 Subsequently, the scale and area of damage to the forests has increased catastrophically. Thus, extensive monitoring and population control are required to localize and stop any further spread of the invasion. 3 We used mitochondrial DNA markers to analyze the genetic diversity and population structure of invasive and aboriginal populations of P. proximus, aiming to establish the main sources and corridors of its spread and to infer the history of colonization. 4 Eighteen haplotypes clustered in five groups were identified. The aboriginal populations had the highest degree of haplotype variability, including almost all haplotypes found in the areas of invasion. The Siberian introduced populations had a sufficient reduction of genetic variation, and a strong geographical partitioning. The European populations mostly had the same haplotypes as the invasive Siberian populations. 5 The results of the present study support the scenario of P. proximus spreading from the Far East of Russia westward via timber transport along the major Russian railway network.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Cytol & Genet, 10 Prospekt Lavrentyeva, Novosibirsk 630090, Russia.
Russian Acad Sci, Siberian Branch, Inst Systemat & Ecol Anim, 11 Frunze Str, Novosibirsk 930091, Russia.
Marshall Univ, Dept Biol Sci, 1601 5th Ave, Huntington, WV 25755 USA.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, 50-28 Akademgorodok, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Kononov, Alexandr; Ustyantsev, Kirill; Blinov, Alexandr; Fet, Victor; Baranchikov, Yuri N.; Russian Foundation for Fundamental Research [14-04-01235a]; Siberian branch of the Russian Academy of Sciences [VI.52.2.6]; State scientific project [0324-2015-0003]

[Text] / J. Esper [et al.] // Quat. Sci. Rev. - 2016. - Vol. 145. - P134-151, DOI 10.1016/j.quascirev.2016.05.009. - Cited References:123. - We thank all the tree-ring data producers for sharing their chronologies and measurement series. Supported by the German Science Foundation, Grant 161/9-1. Lamont-Doherty Earth Observatory contribution number 8019. JL acknowledges the German Science Foundation project "Attribution of forced and internal Chinese climate variability in the Common Era". VM acknowledges grant RNF 15-14-30011. BY acknowledges the National Natural Science Foundation of China (Grant 41325008). . - ISSN 0277-3791РУБ Geography, Physical + Geosciences, Multidisciplinary

Аннотация: Tree-ring chronologies are widely used to reconstruct high-to low-frequency variations in growing season temperatures over centuries to millennia. The relevance of these timeseries in large-scale climate reconstructions is often determined by the strength of their correlation against instrumental temperature data. However, this single criterion ignores several important quantitative and qualitative characteristics of tree-ring chronologies. Those characteristics are (i) data homogeneity, (ii) sample replication, (iii) growth coherence, (iv) chronology development, and (v) climate signal including the correlation with instrumental data. Based on these 5 characteristics, a reconstruction-scoring scheme is proposed and applied to 39 published, millennial-length temperature reconstructions from Asia, Europe, North America, and the Southern Hemisphere. Results reveal no reconstruction scores highest in every category and each has their own strengths and weaknesses. Reconstructions that perform better overall include N-Scan and Finland from Europe, E-Canada from North America, Yamal and Dzhelo from Asia. Reconstructions performing less well include W-Himalaya and Karakorum from Asia, Tatra and S-Finland from Europe, and Great Basin from North America. By providing a comprehensive set of criteria to evaluate tree-ring chronologies we hope to improve the development of large-scale temperature reconstructions spanning the past millennium. All reconstructions and their corresponding scores are provided at www.blogs.uni-mainz.de/fb09climatology. (C) 2016 Elsevier Ltd. All rights reserved.

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Держатели документа:
Johannes Gutenberg Univ Mainz, Dept Geog, D-55099 Mainz, Germany.
Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden.
Navarino Environm Observ, Messinia, Greece.
Stockholm Univ, Dept Hist, S-10691 Stockholm, Sweden.
Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden.
Univ Giessen, Dept Geog, D-35390 Giessen, Germany.
Univ Giessen, Ctr Int Dev & Environm Res, D-35390 Giessen, Germany.
Univ Padua, Dipartimento Territorio & Sistemi AgroForestali, I-35020 Legnaro, Italy.
Lamont Doherty Earth Observ, Tree Ring Lab, Palisades, NY 10964 USA.
William Paterson Univ, Dept Environm Sci, Wayne, NJ 07470 USA.
RAS, SB, Inst Forest, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Lab Ecosyst Biogeochem, Krasnoyarsk 660041, Russia.
Siberian Fed Univ, Inst Humanities, Krasnoyarsk 660041, Russia.
Nat Resources Inst Finland Luke, Rovaniemi Unit, Rovaniemi, Finland.
Swiss Fed Res Inst WSL, CH-8903 Birmensdorf, Switzerland.
Univ Arizona, Tree Ring Res Lab, Tucson, AZ 85721 USA.
CONICET Mendoza, Inst Argentino Nivol Glaciol & Ciencias Ambiental, RA-5500 Mendoza, Argentina.
Chinese Acad Sci, Key Lab Desert & Desertificat, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China.

Доп.точки доступа:
Esper, Jan; Krusic, Paul J.; Ljungqvist, Fredrik C.; Luterbacher, Juerg; Carrer, Marco; Cook, E.d.; Davi, Nicole K.; Hartl-Meier, Claudia; Kirdyanov, Alexander; Konter, Oliver; Myglan, Vladimir; Timonen, Mauri; Treydte, Kerstin; Trouet, Valerie; Villalba, Ricardo; Yang, Bao; Buntgen, Ulf; German Science Foundation [161/9-1]; National Natural Science Foundation of China [41325008]; [RNF 15-14-30011]

/ N. M. Tchebakova, E. I. Parfenova, A. J. Soja ; ed.: L. . Mueller, A. K. Sheudshen, F. . Eulenstein // NOVEL METHODS FOR MONITORING AND MANAGING LAND AND WATER RESOURCES IN : SPRINGER INT PUBLISHING AG, 2016. - P269-285. - (Springer Water), DOI 10.1007/978-3-319-24409-9_10. - Cited References:51 . - РУБ Environmental Sciences + Soil Science + Water Resources

Аннотация: The redistribution of terrestrial ecosystems and individual species is predicted to be profound under Global Climate Model simulations. We modeled the progression of potential vegetation and forest types in Siberia by the end of the twenty-first century by coupling large-scale bioclimatic models of vegetation zones and major conifer species with climatic variables and permafrost using the B1 and A2 Hadley Centre HadCM3 climate change scenarios. In the projected warmer and dryer climate, Siberian taiga forests are predicted to dramatically decrease and shift to the northeast, and forest-steppe, steppe, and novel temperate broadleaf forests are predicted to dominate most of Siberia by 2090. The permafrost should not retreat sufficiently to provide favorable habitats for dark (Pinus sibiric, Abies sibirica, and Picea obovata) taiga, and the permafrost-tolerant L. dahurica taiga should remain the dominant forest type in many current permafrost-lain areas. Water stress and fire-tolerant tree species (Pinus sylvestris and Larix spp.) should have an increased advantage over moisture-loving tree species (P. sibirica, A. sibirica, and P. obovata) in a new climate. Accumulated surface fuel loads due to increased tree mortality from drought, insects, and other factors, especially at the southern forest border and in the Siberian interior (Yakutia), together with an increase in severe fire weather, should also lead to increases in large, high-severity fires that are expected to facilitate vegetation progression toward a new equilibrium with the climate. Adaptation of the forest types and tree species to climate change in the south may be based on the genetic means of individual species and human willingness to aid migration, perhaps by seeding. Additionally, useful and viable crops could be established in agricultural lands instead of failing forests.

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Держатели документа:
Russian Acad Sci, VN Sukachev Inst Forest, Siberian Branch SIF SB RAS, Akademgorodok 50-28, Krasnoyarsk 660036, Russia.
NASA, Langley Res Ctr, 21 Langley Blvd,Mail Stop 420, Hampton, VA 23681 USA.

Доп.точки доступа:
Tchebakova, Nadezhda M.; Parfenova, Elena I.; Soja, Amber J.; Mueller, L... \ed.\; Sheudshen, A.K. \ed.\; Eulenstein, F... \ed.\

/ V. I. Kharuk [et al.] // Reg. Envir. Chang. - 2016. - Vol. 16, Is. 8. - P2389-2397, DOI 10.1007/s10113-016-0964-9. - Cited References:37. - This work was supported by Russian Scientific Foundation, Project #14-24-00112. Field measurements in 2012 were supported in part NASA's Terrestrial Ecology Program. . - ISSN 1436-3798. - ISSN 1436-378XРУБ Environmental Sciences + Environmental Studies

Аннотация: Fire history within the northern larch forests of Central Siberia was studied (65 + A degrees N). Fires within this area are predominantly caused by lightning strikes rather than human activity. Mean fire return intervals (FRIs) were found to be 112 +/- A 49 years (based on firescars) and 106 +/- A 36 years (based on firescars and tree natality dates). FRIs were increased with latitude increase and observed to be about 80 years at 64A degrees N, about 200 years near the Arctic Circle and about 300 years nearby the northern range limit of larch stands (similar to 71A degrees A + N). Northward FRIs increase correlated with incoming solar radiation (r = -0.95). Post-Little Ice Age (LIA) warming (after 1850) caused approximately a doubling of fire events (in comparison with a similar period during LIA). The data obtained support a hypothesis of climate-induced fire frequency increase.

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Держатели документа:
VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Siberian State Aerosp Univ, Krasnoyarsk 660014, Russia.
NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA.

Доп.точки доступа:
Kharuk, Viacheslav I.; Dvinskaya, Mariya L.; Petrov, Ilya A.; Im, Sergei T.; Ranson, Kenneth J.; Russian Scientific Foundation [14-24-00112]

/ O. V. Churakova [et al.] // Dendrochronologia. - 2016. - Vol. 39: Workshop on Current Status and the Potential of Tree-Ring Research in (JAN 20-21, 2015, Krasnoyarsk, RUSSIA). - P51-59, DOI 10.1016/j.dendro.2015.12.008. - Cited References:50 . - ISSN 1125-7865. - ISSN 1612-0051РУБ Plant Sciences + Forestry + Geography, Physical

Аннотация: Tree-ring width and stable isotopic composition are widely used for the reconstruction of environmental conditions. Eco-physiological models simulating delta C-13 and delta O-18 provide tools to constrain the interpretation of measured tree-ring variations and their relationships to environmental variables. Here, we apply biochemical models of photosynthesis and a model of stomatal conductance to simulate the intra-annual dynamics of delta(13) C values in photo assimilates and tree-rings. We use these models to investigate the physiological responses of larch trees growing on permafrost to variability in precipitation and permafrost depth associated with regional temperature and precipitation changes. Tree-ring width, delta C-13 and delta O-18 in wood and cellulose were measured in larch (Larix cajanderi Mayr.) samples from northeastern Yakutia (69 degrees N, 148 degrees E) for the period from 1945 to 2004 and used for comparisons with modeled delta C-13 and delta O-18 data. Mechanistic models that quantify physical and biochemical fractionation processes leading to oxygen isotope variation in organic matter are used to identify source water for trees growing on permafrost in Siberia. These models allowed us to investigate the influence of a variety of climatic factors on Siberian forest ecosystem water relations that impact isotope fractionation. Based on delta C-13 and delta O-18 in tree wood and cellulose measurements as well as outputs from different eco-physiological models, we assume that larch trees from northeastern Yakutia can have limited access to the additional thawed permafrost water during dry summer periods. (C) 2015 Elsevier GmbH. All rights reserved.

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Держатели документа:
Univ Bern, Inst Geol Sci, Dendrolab Ch, CH-3012 Bern, Switzerland.
Swiss Fed Inst Technol, Dept Environm Sci, CH-8092 Zurich, Switzerland.
VN Sukachev Inst Forest SB RAS, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
INRA, UMR ISPA 1391, F-33140 Villenave Dornon, France.
CEA Saclay, Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France.
Paul Scherrer Inst, CH-5232 Villigen, Switzerland.
Univ Bern, Inst Phys, Climate & Environm Phys, CH-3012 Bern, Switzerland.
Univ Bern, Oeschger Ctr Climate Change Res, CH-3012 Bern, Switzerland.
Southern Oregon Univ, Dept Biol, Ashland, OR 97520 USA.

Доп.точки доступа:
Churakova, O. V.; Shashkin, Aleksandr V.; Siegwolf, Rolf T. W.; Spahni, Renato; Launois, Thomas; Saurer, Matthias; Bryukhanova, Marina V.; Benkova, Anna V.; Kuptsova, Anna V.; Peylin, Philippe; Vaganov, Eugene A.; Masson-Delmotte, Valerie; Roden, John

/ S. Guillet [et al.] // Nat. Geosci. - 2017. - Vol. 10, Is. 2. - P123-+, DOI 10.1038/NGEO2875. - Cited References:45. - S.G., C.C., M.S. and O.V.C. acknowledge support from the Era.Net RUSplus project ELVECS (SNF project number: IZRPZ0_164735). This study benefited from data gathered within the ANR CEPS GREENLAND project. V.S.M. received support from the Russian Science Foundation (project no. 15-14-30011). R. Hantemirov kindly provided a millennium-long chronology. The authors are grateful to W. S. Atwell and W. Wayne-Farris for discussions on historical sources from Japan as well as to M. Luisa Avila for her help with Muslim sources from Mediaeval Spain. S.G. and C.C. are very grateful to S. Finet, L. Fazan and P. Guerin for their help with R-scripts, translations and fruitful discussions, respectively. . - ISSN 1752-0894. - ISSN 1752-0908РУБ Geosciences, Multidisciplinary

Аннотация: The eruption of Samalas in Indonesia in 1257 ranks among the largest sulfur-rich eruptions of the Common Era with sulfur deposition in ice cores reaching twice the volume of the Tambora eruption in 1815. Sedimentological analyses of deposits confirm the exceptional size of the event, which had both an eruption magnitude and a volcanic explosivity index of 7. During the Samalas eruption, more than 40 km(3) of dense magma was expelled and the eruption column is estimated to have reached altitudes of 43 km. However, the climatic response to the Samalas event is debated since climate model simulations generally predict a stronger and more prolonged surface air cooling of Northern Hemisphere summers than inferred from tree-ring-based temperature reconstructions. Here, we draw on historical archives, ice-core data and tree-ring records to reconstruct the spatial and temporal climate response to the Samalas eruption. We find that 1258 and 1259 experienced some of the coldest Northern Hemisphere summers of the past millennium. However, cooling across the Northern Hemisphere was spatially heterogeneous. Western Europe, Siberia and Japan experienced strong cooling, coinciding with warmer-than-average conditions over Alaska and northern Canada. We suggest that in North America, volcanic radiative forcing was modulated by a positive phase of the El Nino-Southern Oscillation. Contemporary records attest to severe famines in England and Japan, but these began prior to the eruption. We conclude that the Samalas eruption aggravated existing crises, but did not trigger the famines.

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Держатели документа:
Univ Bern, Inst Geol Sci, Dendrolab Ch, Baltzerstr 1 3, CH-3012 Bern, Switzerland.
Univ Blaise Pascal, CNRS, UMR 6042, Geolab, 4 Rue Ledru, F-63057 Clermont Ferrand, France.
Univ Geneva, Inst Environm Sci, Climat Change & Climate Impacts, 66 Blvd Carl Vogt, CH-1205 Geneva, Switzerland.
Univ Geneva, Dept Earth Sci, Rue Maraichers 13, CH-1205 Geneva, Switzerland.
Univ Paris 06, Lab Oceanog & Climat Expt Approches Numer, 4 Pl Jussieu, F-75252 Paris 05, France.
Univ Paris 1 Pantheon Sorbonne, Lab Geog Phys, 1 Pl Aristide Briand, F-92195 Meudon, France.
Univ Reading, Dept Meteorol, NCAS Climate, Reading RG6 6BB, Berks, England.
UR ETNA Univ Grenoble Alpes, Irstea, 2 Rue Papeterie, F-38402 St Martin Dheres, France.
Univ Paris Saclay, Lab Sci Climat & Environm, Inst Pierre Simon Laplace, CEA,CNRS,UVSQ,UMR8212, F-91191 Gif Sur Yvette, France.
VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, RU-660041 Krasnoyarsk, Russia.
William Paterson Univ, Dept Environm Sci, Wayne, NJ 07470 USA.
Univ Arizona, Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA.
CNRS, UMR 7299, CCJ, Maison Mediterraneenne Sci Homme 5 Rue Chateau, F-13094 Aix En Provence, France.
Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
Chinese Acad Sci, Ctr Excellence & Innovat Tibetan Plateau Earth Sy, Beijing 100101, Peoples R China.
Univ Western Ontario, Dept Geog, 1151 Richmond St, London, ON N6A 5C2, Canada.
Aix Marseille Univ, CNRS, IRD, Coll France,CEREGE,ECCOREV, F-13545 Aix En Provence, France.
Univ Cambridge, Dept Geog, Downing Pl, Cambridge CB2 3EN, England.

Доп.точки доступа:
Guillet, Sebastien; Corona, Christophe; Stoffel, Markus; Khodri, Myriam; Lavigne, Franck; Ortega, Pablo; Eckert, Nicolas; Sielenou, Pascal Dkengne; Daux, Valerie; Churakova, O. V.; Davi, Nicole; Edouard, Jean-Louis; Zhang, Yong; Luckman, Brian H.; Myglan, Vladimir S.; Guiot, Joel; Beniston, Martin; Masson-Delmotte, Valerie; Oppenheimer, Clive; Era.Net RUSplus project ELVECS (SNF) [IZRPZ0_164735]; Russian Science Foundation [15-14-30011]

/ M. Cailleret [et al.] // Glob. Change Biol. - 2017. - Vol. 23, Is. 4. - P1675-1690, DOI 10.1111/gcb.13535. - Cited References:86. - This study generated from the COST Action STReESS (FP1106) financially supported by the EU Framework Programme for Research and Innovation HORIZON 2020. We are particularly grateful to Professor Dr. Ute Sass-Klaassen from Wageningen University (the Netherlands), chair of the action, for making this metastudy possible. We also thank members of the Laboratory of Plant Ecology from the University of Ghent (Belgium) for their help while compiling the database; Louise Filion for sharing her dataset; Dario Martin-Benito for providing some For-Clim parameters; the ARC-NZ Vegetation Function Network for supporting the compilation of the Xylem Functional Traits dataset; Edurne Martinez del Castillo for the creation of Fig. 1; and two anonymous reviewers and Phillip van Mantgem (USGS) for their suggestions to improve the quality of the manuscript. MC was funded by the Swiss National Science Foundation (Project Number 140968); SJ by the German Research Foundation (JA 2174/3-1); EMRR by the Research Foundation - Flanders (FWO, Belgium), and by the EU HORIZON 2020 Programme through a Marie Sklodowska-Curie IF Fellowship (No. 659191); LDS by a postdoctoral fellowship from the Portuguese Fundacao para a Ciencia e a Tecnologia (FCT) (SFRH/BPD/70632/2010); TA by the Academy of Finland (Project Nos. 252629 and 276255); JAA by the British Columbia Forest Science Program and the Forest Renewal BC (Canada); BB and WO by the Austrian Science Fund (FWF, Hertha Firnberg Programme Project T667-B16 and FWF P25643-B16); VC, PJ, MS, and VT by the Czech Ministry of Education (MSMT, Project COST CZ Nos.; LD13064 and LD14074); JJC, JCLC, and GSB by the Spanish Ministry of Economy (Projects CGL2015-69186-C21-R, CGL2013-48843-C2-2-R, and CGL2012-32965) and the EU (Project FEDER 0087 TRANSHABITAT); MRC by the Natural Sciences and Engineering Research Council of Canada (NSERC) and by the Service de la protection contre les insectes et les maladies du ministere des forets du Quebec (Canada); KC by the Slovenian Research Agency (ARRS) Program P4-0015; AD by the United States Geological Survey (USGS); HD by the French National Research Agency (ANR, DRYADE Project ANR-06VULN-004) and the Metaprogram Adaptation of Agriculture and Forests to Climate Change (AAFCC) of the French National Institute for Agricultural Research (INRA); MD by the Israeli Ministry of Agriculture and Rural Development as a chief scientist and by the Jewish National Fund (Israel); GGI by the Spanish Ministry of Economy and Competitiveness (Project AGL2014-61175-JIN); SG by the Bundesministerium fur Bildung und Forschung (BMBF) through the Project REGKLAM (Grant Number: 01 LR 0802) (Germany); LJH by the Arkansas Agricultural Experiment Station (United States of America) and the United States Department of Agriculture - Forest Service; HH by the Natural Sciences and Engineering Research Council of Canada; AMH by the Spanish Ministry of Science and Innovation (Projects CGL2007-60120 and CSD2008-0040) and by the Spanish Ministry of Education via a FPU Scholarship; VIK by the Russian Science Foundation (Grant #14-24-00112); TKi and RV by the Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET Grant PIP 112-201101-00058 and PIP 112-2011010-0809) (Argentina); TKl by the Weizmann Institute of Science (Israel) under supervision of Professor Dan Yakir, by the Keren Kayemeth LeIsrael (KKL) - Jewish National Fund (JNF) (Alberta-Israel Program 90-9-608-08), by the Sussman Center (Israel), by the Cathy Wills and Robert Lewis Program in Environmental Science (United Kingdom), by the France-Israel High Council for Research Scientific and Technological Cooperation (Project 3-6735), and by the Minerva Foundation (Germany); KK by the project 'Resilience of Forests' of the Ministry of Economic Affairs (the Netherlands - WUR Investment theme KB19); TL by the program and research group P4-0107 Forest Ecology, Biology and Technology (Slovenia); RLV by a postdoctoral fellowship from the Portuguese Fundacao para a Ciencia e a Tecnologia (FCT; SFRH/BPD/86938/2012); RLR by the EU FP7 Programme through a Marie Sklodowska-Curie IOF Fellowship (No. 624473); HM by the Academy of Finland (Grant Nos. 257641 and 265504); SM by Sparkling Science of the Federal Ministry of Science, Research and Economy (BMWFW) of Austria; IM by the Hungarian Scientific Research Fund (No. K101552); JMM by the Circumpolar-Boreal Alberta grants program from the Natural Science and Engineering Research Council of Canada; MP by the EU Project LIFE12 ENV/FI/000409; AMP by a Swiss Research Fellowship (Sciex-NMSch, Project 13.; 272 - OAKAGE); JMS by the American National Science Foundation (Grant 0743498); ABS by the British Columbia Ministry of Forests, Lands and Natural Resource Operations (Canada); DS by the Public Enterprise 'Vojvodinasume' (project Improvement of Lowland Forest Management); MLS by the Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET Grant PIP 11420110100080) and by El Fondo para la Investigacion Cientifica y Tecnologica (FONCyT Grant PICT 2012-2009); RT by the Italian Ministry of Education (University and Research 2008, Ciclo del Carbonio ed altri gas serra in ecosistemi forestali, naturali ed artificiali dell'America Latina: analisi preliminare, studio di fattibilita e comparazione con ecosistemi italiani) and by the EU LIFE+ Project MANFOR C.BD. (Environment Policy and Governance 2009, Managing forests for multiple purposes: carbon, biodiversity and socioeconomic wellbeing); ARW by the Natural Sciences and Engineering Council (NSERC) (Canada) through the University of Winnipeg and by Manitoba Conservation (Canada); and JMV by the Spanish Ministry of Economy and Competitiveness (Grant CGL2013-46808-R). Any use of trade names is for descriptive purposes only and does not imply endorsement by the U.S. Government. . - ISSN 1354-1013. - ISSN 1365-2486РУБ Biodiversity Conservation + Ecology + Environmental Sciences

Аннотация: Tree mortality is a key factor influencing forest functions and dynamics, but our understanding of the mechanisms leading to mortality and the associated changes in tree growth rates are still limited. We compiled a new pan-continental tree-ring width database from sites where both dead and living trees were sampled (2970 dead and 4224 living trees from 190 sites, including 36 species), and compared early and recent growth rates between trees that died and those that survived a given mortality event. We observed a decrease in radial growth before death in ca. 84% of the mortality events. The extent and duration of these reductions were highly variable (1-100 years in 96% of events) due to the complex interactions among study species and the source(s) of mortality. Strong and long-lasting declines were found for gymnosperms, shade-and drought-tolerant species, and trees that died from competition. Angiosperms and trees that died due to biotic attacks (especially bark-beetles) typically showed relatively small and short-term growth reductions. Our analysis did not highlight any universal trade-off between early growth and tree longevity within a species, although this result may also reflect high variability in sampling design among sites. The intersite and interspecific variability in growth patterns before mortality provides valuable information on the nature of the mortality process, which is consistent with our understanding of the physiological mechanisms leading to mortality. Abrupt changes in growth immediately before death can be associated with generalized hydraulic failure and/or bark-beetle attack, while long-term decrease in growth may be associated with a gradual decline in hydraulic performance coupled with depletion in carbon reserves. Our results imply that growth-based mortality algorithms may be a powerful tool for predicting gymnosperm mortality induced by chronic stress, but not necessarily so for angiosperms and in case of intense drought or bark-beetle outbreaks.

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Держатели документа:
ETH, Forest Ecol, Dept Environm Syst Sci, Inst Terr Ecosyst, Univ Str 22, CH-8092 Zurich, Switzerland.
Univ Ulm, Inst Systemat Bot & Ecol, Albert Einstein Allee 11, D-89081 Ulm, Germany.
CREAF, Campus UAB, Cerdanyola Del Valles 08193, Spain.
Vrije Univ Brussel, Lab Plant Biol & Nat Management APNA, Pl Laan 2, B-1050 Brussels, Belgium.
RMCA, Lab Wood Biol & Xylarium, Leuvensesteenweg 13, B-3080 Tervuren, Belgium.
Univ Coimbra, Dept Life Sci, Ctr Funct Ecol, P-3000456 Coimbra, Portugal.
Univ Helsinki, Dept Forest Sci, POB 27 Latokartanonkaari 7, FIN-00014 Helsinki, Finland.
Univ Victoria, Dept Biol, STN CSC, POB 3020, Victoria, BC V8W 3N5, Canada.
Univ Innsbruck, Inst Bot, Sternwartestr 15, A-6020 Innsbruck, Austria.
Univ Milan, Dipartimento Biosci, Via Giovanni Celoria 26, I-20133 Milan, Italy.
Czech Univ Life Sci, Fac Forestry & Wood Sci, Kamycka 961-129, Prague 16521 6, Suchdol, Czech Republic.
CSIC, IPE, Ave Montanana 1005, Zaragoza 50192, Spain.
Swiss Fed Inst Forest Snow & Landscape Res WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland.
Univ Clermont Auvergne, INRA, Unite Mixte Rech UMR PIAF 547, F-63100 Clermont Ferrand, France.
Univ Laval, Dept Sci Bois & Foret, Ctr Forest Res, Fac Foresterie Geog & Geomat, 2405 Rue Terrasse, Quebec City, PQ G1V 0A6, Canada.
Univ Ljubljana, Biotech Fac, Jamnikarjeva 101, Ljubljana 1000, Slovenia.
US Geol Survey, Western Ecol Res Ctr, 47050 Generals Highway, Three Rivers, CA 93271 USA.
INRA, Ecol Forest Mediterraneennes URFM, Site Agroparc, F-84914 Avignon 9, France.
Univ Bordeaux, Unite Mixte Rech UMR BIOGECO 1202, INRA, F-33615 Pessac, France.
Ben Gurion Univ Negev, Dept Geog & Environm Dev, IL-84105 Beer Sheva, Israel.
Inst Nacl Invest & Tecnol Agr & Alimentaria INIA, Ctr Invest Forestal CIFOR, Carretera La Coruna Km 7-5, Madrid 28040, Spain.
Tech Univ Dresden, Inst Forest Bot & Forest Zool, D-01062 Dresden, Germany.
TU Berlin, Fachgebiet Vegetat Tech & Pflanzenverwendung, Inst Landschaftsarchitektur & Umweltplanung, D-10623 Berlin, Germany.
Univ Arkansas, Dept Entomol, Fayetteville, AR 72701 USA.
Univ Kansas, Dept Ecol & Evolutionary Biol, 1450 Jayhawk Blvd, Lawrence, KS 66045 USA.
Max Planck Inst Biogeochem, Hans Knoll Str 10, D-07745 Jena, Germany.
CSIC, Dept Biogeog & Global Change, Natl Museum Nat Hist MNCN, C Serrano 115Bis, Madrid 28006, Spain.
Desert Bot Garden, Dept Res Conservat & Collect, 1201 N Galvin Pkwy, Phoenix, AZ USA.
Humboldt State Univ, Dept Forestry & Wildland Resources, 1 Harpst St, Arcata, CA 95521 USA.
Russian Acad Sci, Siberian Div, Sukachev Inst Forest, Krasnoyarsk 660036, Russia.
Univ Nacl Comahue, Dept Ecol, Quintral S-N, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina.
Consejo Nacl Invest Cient & Tecn, Inst Invest Biodiversidad & Medio Ambiente INIBOM, Quintral 1250, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina.
ARO, Volcani Ctr, Inst Soil Water & Environm Sci, POB 6, IL-50250 Bet Dagan, Israel.
Wageningen Univ, Alterra Green World Res, Droevendaalse Steeg 1, NL-6700 AA Wageningen, Netherlands.
Leiden Univ, Nat Biodivers Ctr, POB 9517, NL-2300 RA Leiden, Netherlands.
Slovenian Forestry Inst, Dept Yield & Silviculture, Vecna Pot 2, Ljubljana 1000, Slovenia.
Pablo de Olavide Univ, Dept Phys Chem & Nat Syst, Carretera Utrera Km 1, Seville 41013, Spain.
Univ Autonoma Barcelona, Cerdanyola Del Valles 08193, Spain.
Univ Lisbon, Forest Res Ctr, Sch Agr, P-1349017 Lisbon, Portugal.
Mediterranean Univ Reggio Calabria, Dept Agr Sci, I-89060 Reggio Di Calabria, Italy.
Tech Univ Madrid, Forest Genet & Physiol Res Grp, Calle Ramiro de Maeztu 7, Madrid 28040, Spain.
Univ Western Sydney, Hawkesbury Inst Environm, Sci Rd, Richmond, NSW 2753, Australia.
Nat Resources Inst Finland Luke, Viikinkaari 4, Helsinki 00790, Finland.
Univ Debrecen, Dept Bot, Fac Sci & Technol, Egyet Ter 1, H-4032 Debrecen, Hungary.
Nat Resources Canada, Northern Forestry Ctr, Canadian Forest Serv, 5320-122nd St, Edmonton, AB T6H 3S5, Canada.
Technol Educ Inst TEI Stereas Elladas, Dept Forestry & Nat Environm Management, Ag Georgiou 1, Karpenissi 36100, Greece.
Nat Resources Inst Finland Luke, POB 18 Jokiniemenkuja 1, Vantaa 01301, Finland.
Natl Inst Res Dev Forestry Marin Dracea, Eroilor 128, Voluntari 077190, Romania.
Open Univ Cyprus, Fac Pure & Appl Sci, CY-2252 Nicosia, Cyprus.
Univ Cyprus, Dept Biol Sci, POB 20537, CY-1678 Nicosia, Cyprus.
Univ Patras, Dept Biol, Div Plant Biol, Patras 26500, Greece.
Univ Colorado, Dept Geog, Boulder, CO 80309 USA.
No Arizona Univ, Dept Geog Planning & Recreat, POB 15016, Flagstaff, AZ 86011 USA.
Wageningen Univ, Forest Ecol & Forest Management Grp, Droevendaalsesteeg 3a, NL-6708 PB Wageningen, Netherlands.
Univ Novi Sad, Inst Lowland Forestry & Environm, Antona Cehova 13,POB 117, Novi Sad 21000, Serbia.
Univ Molise, Dipartimenti Biosci & Terr, I-86090 C Da Fonte Lappone, Pesche, Italy.
Project Ctr Mt Forests MOUNTFOR, EFI, Via E Mach 1, I-38010 San Michele All Adige, Italy.
CCT CONICET Mendoza, Lab Dendrocronol & Hist Ambiental, Inst Argentino Nivol Glaciol & Ciencias Ambiental, Ave Ruiz Leal S-N,Parque Gen San Martin, RA-5500 Mendoza, Argentina.
Estonian Univ Life Sci, Inst Forestry & Rural Engn, Kreutzwaldi 5, EE-51014 Tartu, Estonia.
Univ Alberta, Boreal Avian Modelling Project, Dept Renewable Resources, 751 Gen Serv Bldg, Edmonton, AB T6G 2H1, Canada.
Univ Minnesota, 600 East 4th St, Morris, MN 56267 USA.
Univ Forestry, Kliment Ohridski St 10, Sofia 1756, Bulgaria.

Доп.точки доступа:
Cailleret, Maxime; Jansen, Steven; Robert, Elisabeth M. R.; Desoto, Lucia; Aakala, Tuomas; Antos, Joseph A.; Beikircher, Barbara; Bigler, Christof; Bugmann, Harald; Caccianiga, Marco; Cada, Vojtech; Camarero, Jesus J.; Cherubini, Paolo; Cochard, Herve; Coyea, Marie R.; Cufar, Katarina; Das, Adrian J.; Davi, Hendrik; Delzon, Sylvain; Dorman, Michael; Gea-Izquierdo, Guillermo; Gillner, Sten; Haavik, Laurel J.; Hartmann, Henrik; Heres, Ana-Maria; Hultine, Kevin R.; Janda, Pavel; Kane, Jeffrey M.; Kharuk, Vyacheslav I.; Kitzberger, Thomas; Klein, Tamir; Kramer, Koen; Lens, Frederic; Levanic, Tom; Calderon, R.; Lloret, Francisco; Lobodo-Vale, Raquel; Lombardi, Fabio; Rodriguez, S.; Makinen, Harri; Mayr, Stefan; Meszaros, Ilona; Metsaranta, Juha M.; Minunno, Francesco; Oberhuber, Walter; Papadopoulos, Andreas; Peltoniemi, Mikko; Petritan, Any M.; Rohner, Brigitte; Sanguesa-Barreda, Gabriel; Sarris, Dimitrios; Smith, Jeremy M.; Stan, Amanda B.; Sterck, Frank; Stojanovic, Dejan B.; Suarez, Maria L.; Svoboda, Miroslav; Tognetti, Roberto; Torres-Ruiz, Jose M.; Trotsiuk, Volodymyr; Villalba, Ricardo; Vodde, Floor; Westwood, Alana R.; Wyckoff, Peter H.; Zafirov, Nikolay; Martinez-Vilalta, Jordi; Torres-Ruiz, Jose Manuel; EU [FP1106, FEDER 0087 TRANSHABITAT, LIFE12 ENV/FI/000409]; Swiss National Science Foundation [140968]; German Research Foundation [JA 2174/3-1]; Research Foundation - Flanders (FWO, Belgium); EU HORIZON Programme through a Marie Sklodowska-Curie IF Fellowship [659191]; Portuguese Fundacao para a Ciencia e a Tecnologia (FCT) [SFRH/BPD/70632/2010, SFRH/BPD/86938/2012]; Academy of Finland [252629, 276255, 257641, 265504]; British Columbia Forest Science Program; Forest Renewal BC (Canada); Austrian Science Fund (FWF) [T667-B16, FWF P25643-B16]; Czech Ministry of Education (MSMT) [LD13064, LD14074]; Spanish Ministry of Economy [CGL2015-69186-C21-R, CGL2013-48843-C2-2-R, CGL2012-32965]; Natural Sciences and Engineering Research Council of Canada (NSERC); Service de la protection contre les insectes et les maladies du ministere des forets du Quebec (Canada); Slovenian Research Agency (ARRS) Program [P4-0015]; United States Geological Survey (USGS); French National Research Agency (ANR) [ANR-06VULN-004]; Metaprogram Adaptation of Agriculture and Forests to Climate Change (AAFCC) of the French National Institute for Agricultural Research (INRA); Jewish National Fund (Israel); Spanish Ministry of Economy and Competitiveness [AGL2014-61175-JIN, CGL2013-46808-R]; Bundesministerium fur Bildung und Forschung (BMBF) through the Project REGKLAM (Germany) [01 LR 0802]; Arkansas Agricultural Experiment Station (United States of America); United States Department of Agriculture - Forest Service; Natural Sciences and Engineering Research Council of Canada; Spanish Ministry of Science and Innovation [CGL2007-60120, CSD2008-0040]; Spanish Ministry of Education via a FPU Scholarship; Russian Science Foundation [14-24-00112]; Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) (Argentina) [PIP 112-201101-00058, PIP 112-2011010-0809]; Weizmann Institute of Science (Israel); Keren Kayemeth LeIsrael (KKL) - Jewish National Fund (JNF) [90-9-608-08]; Sussman Center (Israel); Cathy Wills and Robert Lewis Program in Environmental Science (United Kingdom); France-Israel High Council for Research Scientific and Technological Cooperation [3-6735]; Minerva Foundation (Germany); Israeli Ministry of Agriculture and Rural Development; project 'Resilience of Forests' of the Ministry of Economic Affairs [KB19]; program and research group Forest Ecology, Biology and Technology (Slovenia) [P4-0107]; EU through a Marie Sklodowska-Curie IOF Fellowship [624473]; Sparkling Science of the Federal Ministry of Science, Research and Economy (BMWFW) of Austria; Hungarian Scientific Research Fund [K101552]; Natural Science and Engineering Research Council of Canada; Swiss Research Fellowship [13.272 - OAKAGE]; American National Science Foundation [0743498]; British Columbia Ministry of Forests, Lands and Natural Resource Operations (Canada); Public Enterprise 'Vojvodinasume'; Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET) [PIP 11420110100080]; El Fondo para la Investigacion Cientifica y Tecnologica (FONCyT) [PICT 2012-2009]; Italian Ministry of Education (University and Research, Ciclo del Carbonio ed altri gas serra in ecosistemi forestali, naturali ed artificiali dell'America Latina: analisi preliminare, studio di fattibilita e comparazione con ecosistemi italiani); EU LIFE+ Project MANFOR C.BD. (Environment Policy and Governance, Managing forests for multiple purposes: carbon, biodiversity and socioeconomic wellbeing); Natural Sciences and Engineering Council (NSERC) (Canada) through the University of Winnipeg; Manitoba Conservation (Canada)

/ V. I. Kharuk [et al.] // Reg. Envir. Chang. - 2017. - Vol. 17, Is. 3. - P803-812, DOI 10.1007/s10113-016-1073-5. - Cited References:44. - This study was supported by Russian Science Fund (RNF) (Grant No. 14-24-00112). K. J. Ranson's contribution was supported in part by the NASA's Terrestrial Ecology Program. . - ISSN 1436-3798. - ISSN 1436-378XРУБ Environmental Sciences + Environmental Studies

Аннотация: Increased dieback and mortality of ``dark needle conifer'' (DNC) stands (composed of fir (Abies sibirica), Siberian pine (Pinus sibirica) and spruce (Picea obovata)) were documented in Russia during recent decades. Here we analyzed spatial and temporal patterns of fir decline and mortality in the southern Siberian Mountains based on satellite, in situ and dendrochronological data. The studied stands are located within the boundary between DNC taiga to the north and forest-steppe to the south. Fir decline and mortality were observed to originate where topographic features contributed to maximal water-stress risk, i.e., steep (18 degrees - 25 degrees), convex, south-facing slopes with a shallow well-drained root zone. Fir regeneration survived droughts and increased stem radial growth, while upper canopy trees died. Tree ring width (TRW) growth negatively correlated with vapor pressure deficit (VPD), drought index and occurrence of late frosts, and positively with soil water content. Previous year growth conditions (i.e., drought index, VPD, soil water anomalies) have a high impact on current TRW (r = 0.60-0.74). Fir mortality was induced by increased water stress and severe droughts (as a primary factor) in synergy with bark-beetles and fungi attacks (as secondary factors). Dendrochronology data indicated that fir mortality is a periodic process. In a future climate with increased aridity and drought frequency, fir (and Siberian pine) may disappear from portions of its current range (primarily within the boundary with the foreststeppe) and is likely to be replaced by drought-tolerant species such as Pinus sylvestris and Larix sibirica.

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Sukachev Inst Forest, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Siberian State Aerosp Univ, Krasnoyarsk, Russia.
NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA.

Доп.точки доступа:
Kharuk, Viacheslav I.; Im, Sergei T.; Petrov, Ilya A.; Dvinskaya, Mariya L.; Fedotova, Elena V.; Ranson, Kenneth J.; Russian Science Fund (RNF) [14-24-00112]; NASA's Terrestrial Ecology Program