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

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Найдено документов в текущей БД: 5

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

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

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

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Scopus

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

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

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

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

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

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

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

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

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

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

Scopus

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

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

    Spatial structure of acid properties of litter in the succession row of swamp birch woods
[Text] / T. T. Efremova [et al.] // Biol. Bull. - 2014. - Vol. 41, Is. 3. - P284-295, DOI 10.1134/S106235901305004X. - Cited References: 34. - This study was supported by Program no. 30 of the Presidium of the Russian Academy of Sciences (project no. 11 of the Siberian Branch, Russian Academy of Sciences). . - ISSN 1062-3590. - ISSN 1026-3470
РУБ Biology
Рубрики:
SOIL PROPERTIES
   PEAT

Аннотация: The general potential, exchange, and actual (pH) acidities were investigated in the litter of the succession row of swamp birch woods. Their variabilities constitute, respectively, 75.9-174.4, 3.7-25.8 mmol (+)/100 g of the sampling, 3.7-5.5. For the first time, using the methods of geostatistics, their spatial variability was analyzed and the contributions of the trend, autocorrelation component, and the radius of the spatial correlation were estimated. It was established that in combination with the woody plants detritus, which is uniformly distributed along the ecological profile, the specific composition of the grass-moss tier, which corresponds to the humidity of edaphon, forms the picture of the spatial structure of acid properties of the litter. It was noted that the prime cause of variability consists in the particularities of the water regime of the habitats of swamp birch woods.

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Полный текст

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

Доп.точки доступа:
Efremova, T.T.; Sekretenko, O.P.; Avrova, A.F.; Efremov, S.P.; Presidium of the Russian Academy of Sciences [30]; Siberian Branch, Russian Academy of Sciences [11]

    Small-scale spatial patterns of soil organic carbon and nitrogen stocks in permafrost-affected soils of northern Siberia
/ A. Evgrafova [et al.] // Geoderma. - 2018. - Vol. 329. - P91-107, DOI 10.1016/j.geoderma.2018.05.014 . - ISSN 0016-7061
Аннотация: The vulnerability of soil organic matter (SOM) sequestered in permafrost-affected soils to climate change plays one of the key roles in the global carbon (C) cycle. However, it still remains unclear how changing soil and site-specific factors, associated with the changing depth of the permafrost table due to thawing, influence the spatial distribution and variability of soil organic carbon (SOC) and total nitrogen (N) stocks in high-latitude mineral soils. The relationships between the spatial variation of SOC and N stocks (0–30 cm) and active layer (AL) thickness, thickness of the organic layer (OL), soil acidity, Al and Fe hydroxides as well as plant- and microbial-derived C inputs were studied using ordinary statistics and geostatistics within six landscape patches (16 m2) in the Siberian forest-tundra ecotone underlain by warm and discontinuous permafrost. At deeper permafrost table, SOC and N stocks (0–30 cm) were lower and, according to the semivariogram analysis, an overall homogenization of SOC and N distribution at the analyzed scale occurred. Total N and SOC stocks were spatially independent from root-derived organic matter distribution (i.e. the concentration of suberin-derived monomers) at shallow AL patches, whereas there was a significant positive spatial correlation within deep AL and non-permafrost soils. Hence, the development of root systems and an increase in rooting depth, leading to “hot spots” of SOM accumulation at intensively rooted soil patches, was observed as a result of deeper AL. Total N and SOC stocks within deeper AL and non-permafrost subsoils were also positively spatially correlated with the concentration of Fe and Al hydroxides, demonstrating the importance of organo-mineral associations for SOM stabilization in soils with lower permafrost table. This study confirmed that deepening of the AL in boreal forest ecosystems may lead to an overall homogenization of SOM distribution and simultaneous development of distinct mechanisms of SOM accumulation and stabilization. © 2018 Elsevier B.V.

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Держатели документа:
Soil Science Group, Geography Department, University of Bern, Bern, Switzerland
Institute for Integrated Natural Sciences, Germany Geography Department, University of Koblenz-Landau, Koblenz, Germany
Institute of Soil Science, Leibniz Universitat Hannover, Hanover, Germany
VN Sukachev Institute of Forest, SB-RAS, Akademgorodok, Krasnoyarsk, Russian Federation
Igarka Geocryology Laboratory, Melnikov Permafrost Institute, Yakutsk, Russian Federation
Department of Soil Science and Plant Nutrition, Christian-Albrechts-University of Kiel, Kiel, Germany

Доп.точки доступа:
Evgrafova, A.; de la Haye, T. R.; Haase, I.; Shibistova, O.; Guggenberger, G.; Tananaev, N.; Sauheitl, L.; Spielvogel, S.