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Record W2737793436

МИКРОБИОЛОГИЧЕСКАЯ ТРАНСФОРМАЦИЯ УГЛЕРОДА СН4 и СО2 В КРИОГЕННЫХ ПОЧВАХ ТУНДРОВЫХ И ЛЕСНЫХ ЭКОСИСТЕМ СИБИРИ

2017· article· ru· W2737793436 on OpenAlexaboutno aff
И. Д. Гродницкая, С. Ю. Евграфова, Г. И. Антонов, С. Н. Сырцов, Denis E. Aleksandrov, М. Ю. Трусова, Н. В. Коробан

Bibliographic record

VenueЖурнал "Лесоведение" · 2017
Typearticle
Languageru
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

RUSSIAN JOURNAL OF FOREST SCIENCE. 2017, No. 5, pp. 111-127 MICROBIAL TRANSFORMATION OF CARBON CH4 AND CO2 IN PERMAFROST-AFFECTED SOILS IN TUNDRA AND FOREST ECOSYSTEMS IN SIBERIA I. D. Grodnitskaya 1 , S. Y. Evgrafova 1 , G. I. Antonov, S. N. Syrtsov 1,2 , D. E. Aleksandrov 1 , M. Y. Trusova 3 , N. V. Koroban 4 1 Forest Institute, Siberian Branch of the Russian Academy of Sciences Academgorodok, 50, bldg. 28, Krasnoyarsk, 660036, Russia E-mail: igrod@ksc.krasn.ru 2 Krasnoyarsk filial of the Information and Methodological Center for Expert Evaluation, Recording and Analysis of Circulation of Medical Products, Roszdravnadzor Kutuzova st., 1, bldg. 1, Krasnoyarsk, 660050, Russia 3 Institute of Biophysics, Siberian Branch of the Russian Academy of Sciences Academgorodok, 50, bldg. 50, Krasnoyarsk, 660036, Russia 4 Roche Diagnostika Rus Ltd. Letnikovskaya, 2, bldg. 2, Moscow, 115114, Russia Received 5 April 2016 We studied structure, dynamics and functional (biogeochemical) activity of microbial complexes of cryogenic soils in larch forests in Central Evenkia and polygonal tundra on Samoilovskii Island, Lena Delta. We found that daily flux of methane from soil surface is 3-5 times less in forest soil than in the center of polygon in tundra. Short-term heating to 18.5-22.5°C of permafrost-affected soil in larch forest caused sweetening of soil solution, shrinkage of eco-trophic groups of microorganisms and microbial biomass, as well as increase in greenhouse gases (CO 2 and CH 4 ) emission to the air. Notably the permafrost-affected soil on sandy deposits in tundra had highest microbial diversity of methanogenic archaea including Methanobacteriaceae , Methanomicrobiaceae , Methanosarcinaceae , Methanosaetaceae families. On the other hand only Methanosarcinacea were found in cryosols of larch forest. Both type I and type II methanotrophs were found in the forest soil, while only type II methanotrophs occurred in tundra soil. Keywords: сryogenic soils, larch forests, frost-crack polygons, tundra, dynamics and activity of microbial complexes, CH 4 and CO 2 emission, bacterial diversity. REFERENCES Amaral J.A., Archambault C., Richards S.R., Knowles R., Denitrification associated with Groups I and II methanotrophs in a gradient enrichment system, FEMS microbiology ecology , 1995, Vol. 18, No. 4, pp. 289-298. Anan'eva N.D., Mikrobiologicheskie aspekty samoochishcheniya i ustoichivosti pochv ( Microbial aspects of self-purification and resilience of soils ), Moscow: Nauka, 2003, 222 p. Anderson J.P.E., Domsch K.H., A physiological method for the quantitative measurement of microbial biomass in soils, Soil biology and biochemistry , 1978, Vol. 10, No. 3, pp. 215-221. Anderson T.-H., Domsch K.H., Application of eco-physiological quotients q CO 2 and q D on microbial biomasses from soils of different cropping histories, Soil biology and biochemistry , 1990, Vol. 22, No. 2, pp. 251-255. Auman A.J., Speake C.C., Lidstrom M.E., nifH sequences and nitrogen fixation in type I and type II methanotrophs, Applied and environmental microbiology , 2001, Vol. 67, No. 9, pp. 4009-4016. Bergh J., Linder S.E., Effects of soil warming during spring on photosynthetic recovery in boreal Norway spruce stands, Global change biology , 1999, Vol. 5, No. 3, pp. 245-253. Bol'shiyanov D.Y., Makarov A.S., Shnaider V., Shtof G., Proiskhozhdenie i razvitie del'ty reki Leny (Genesis and formation of Lena delta), Saint-Petersburg: Izd-vo AANII, 2013, 266 p. Borjesson G., Sundh I., Svensson B., Microbial oxidation of CH 4 at different temperatures in landfill cover soils, FEMS microbiology ecology , 2004, Vol. 48, No. 3, pp. 305-312. Borjesson G., Sundh I., Tunlid A., Frostegard A., Svensson B.H., Microbial oxidation of CH 4 at high partial pressures in an organic landfill cover soil under different moisture regimes, FEMS microbiology ecology , 1998, Vol. 26, No. 3, pp. 207-217. Bugaenko T.N., Vidovoe raznoobrazie listvennichnykh assotsiatsii severnoi taigi Srednei Sibiri i ego poslepozharnaya  transformatsiya. Avtoref. diss. kand. biol. nauk (Post-fire changes in species diversity of larch associations in northern taiga of Central Siberia. Extended abstract of Candidate's biol. sci. thesis), Krasnoyarsk: IL SO RAN, 2002, 22 p. Chernov I.Y., Sinekologicheskii analiz gruppirovok drozhzhei Taimyrskoi tundry (Synecological analyzis of yeast aggregations in tundra of the Taymyr), Ekologiya , 1985, No. 1, pp. 54-60. Dedysh S.N., Methanotrophic bacteria of acid sphagnum peat bogs, Microbiology , 2002, Vol. 71, No. 6, pp. 638-650. Evgrafova S.Y., Grodnitskaya I.D., Krinitsyn Y.O., Syrtsov S.N., Masyagina O.V., Emissiya metana s poverkhnosti pochvy v tundrovykh i lesnykh ekosistemakh Sibiri (Methane emission from soil surface in the tundra and forest ecosystems in Siberia), Vestnik Krasnoyarskogo gosudarstvennogo agrarnogo universiteta , 2010, No. 12, pp. 80-86. Ganzert L., Jurgens G., Munster U., Wagner D., Methanogenic communities in permafrost-affected soils of the Laptev Sea coast, Siberian Arctic, characterized by 16S rRNA gene fingerprints, FEMS microbiology ecology , 2007, Vol. 59, No. 2, pp. 476-488. GOST 11306-83 . GOST 11623-89 . GOST 26570-95 . GOST 26715-85 . GOST 26717-85 . GOST 26718-85 . GOST 27894.1-88 . GOST 27894.3-88 . GOST 27894.4-88 . GOST 30502-97 . Graham D.W., Chaudhary J.A., Hanson R.S., Arnold R.G., Factors affecting competition between type I and type II methanotrophs in two-organism, continuous-flow reactors, Microbial ecology , 1993, Vol. 25, No. 1, pp. 1-17. Grodnitskaya I.D., Karpenko L.V., Knorre A.A., Syrtsov S.N., Microbial activity of peat soils of boggy larch forests and  bogs in the permafrost zone of Central Evenkia, Eurasian soil science , 2013, Vol. 46, No. 1, pp. 51-73. Hoj L., Olsen R.A., Torsvik V.L., Archaeal communities in High Arctic wetlands at Spitsbergen, Norway (78°N) as characterised by 16S rRNA gene fingerprinting, FEMS microbiology ecology , 2005, Vol. 53, No. 1, pp. 89-101. Khaziev F.K., Metody pochvennoi enzimologii (Methods of soil enzymology), Moscow: Nauka, 2005, 251 p. Metje M., Frenzel P., Methanogenesis and methanogenic pathways in a peat from subarctic permafrost, Environmental microbiology , 2007, Vol. 9, No. 4, pp. 954-964. Mishustin E.N., Mikrobnye assotsiatsii pochvennykh tipov (Microbial associations in different soil types), Problemy i metody biologicheskoi diagnostiki i indikatsii pochv (Biological caharacterization and indication of soils: challenges and methods) , Moscow, 22-24 December 1976, Moscow: Nauka, 1976, pp. 19-42. Netrusov A.I., Praktikum po mikrobiologii (Practicum in microbiology), Moscow: Akademiya, 2005, 603 p. Parinkina O.M., Mikroflora tundrovykh pochv. Ekologo-geograficheskie osobennosti i produktivnost' (Microflora of soils in tundra. Environmental and geographical specifics and productivity), Leningrad: Nauka, 1989. Rivkina E., Gilichinsky D., Wagener S., Tiedje J., Mcgrath J., Biochemical activity of anaerobic microorganisms from buried permafrost sediments, Geomicrobiology journal , 1998, Vol. 15, No. 3, pp. 187-193. Rivkina E.M., Kraev G.N., Krivushin K.V., Laurinavichus K.S., Fyodorov-Davydov D.G., Kholodov A.L., Shcherbakova V.A., Gilichinsky D.A., Metan v vechnomerzlykh otlozheniyakh severo-vostochnogo sektora Arktiki (Methane in permafrost of Northeastern Arctic), Kriosfera Zemli , 2006, Vol. 10, No. 3, pp. 23-41. Rivkina E.M., Laurinavichus K.S., Gilichinsky D.A., Shcherbakova V.A., Methane generation in permafrost sediments, Doklady Biological Sciences , 2002, Vol. 383, No. 1, pp. 179-181. Schinner F., Ohlinger R., Kandeler E., Margesin R., Methods in soil biology , Berlin - Heidelberg: Springer, 1996, 426 p. Shishov L.L., Tonkonogov V.D., Lebedeva I.I., Gerasimova M.I., Klassifikatsiya i diagnostika pochv Rossii (Classification and recognition of soils in Russia), Smolensk: Oikumena, 2004, 342 p. Sorokin N.D., Mikroflora taezhnykh pochv Srednei Sibiri (Microflora of taiga soils in Central Siberia), Novosibirsk: Nauka, 1981, 144 p. Sorokin N.D., Evgrafova S.Y., Pashenova N.V., Grodnitskaya I.D., Polyakova G.G., Afanasova E.N., Mikrobiologicheskaya indikatsiya i monitoring narushennykh lesnykh ekosistem Sibiri (Microbiological indication and monitoring of disturbed forest ecosystems of Siberia), Sibirskii ekologicheskii zhurnal , 2005, Vol. 12, No. 4, pp. 687-692. Wagner D., Kobabe S., Pfeiffer E.-M., Hubberten H.-W., Microbial controls on methane fluxes from a polygonal tundra of the Lena Delta, Siberia, Permafrost and periglacial processes , 2003, Vol. 14, No. 2, pp. 173-185. Wright J.F., Chuvilin E.M., Dallimore S.R., Yakushev V.S., Nixon E.M., Methane hydrate formation and dissociation in fine sands at temperatures near 0°C, 7 th International conference on permafrost , Yellowknife, Canada, 23-27 June 1998: Universite Laval, Centre d'etudes nordiques, 1998, pp. 1147-1153. Zvyagintsev D.G., Metody pochvennoi mikrobiologii i biokhimii (Methods of soil biology and biochemistry), Moscow: Izd-vo MGU, 1991, 304 p.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.007

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.089
GPT teacher head0.284
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
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