МИКРОБИОЛОГИЧЕСКАЯ ТРАНСФОРМАЦИЯ УГЛЕРОДА СН4 и СО2 В КРИОГЕННЫХ ПОЧВАХ ТУНДРОВЫХ И ЛЕСНЫХ ЭКОСИСТЕМ СИБИРИ
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,007 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».