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Record W2737061351

ВЛИЯНИЕ АЗОТА НА МИНЕРАЛИЗАЦИЮ И ГУМИФИКАЦИЮ ЛЕСНЫХ ОПАДОВ В МОДЕЛЬНОМ ЭКСПЕРИМЕНТЕ

2017· article· ru· W2737061351 on OpenAlexaboutno aff
А. А. Ларионова, А. К. Квиткина, С. С. Быховец, В. О. Лопес-де-Гереню, Ю. Г. Колягин, В. В. Каганов

Bibliographic record

VenueЖурнал "Лесоведение" · 2017
Typearticle
Languageru
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

RUSSIAN JOURNAL OF FOREST SCIENCE. 2017, No. 2, pp. 128-139 THE CONTRIBUTION OF NITROGEN TO MINERALIZATION AND HUMIFICATION OF FOREST LITTER IN SIMULATION STUDY A. A. Larionova 1 , A. K. Kvitkina 1 , S. S. Bykhovets 1 , V. O. Lopes-de-Gerenyu 1 , Y. G. Kolyagin 2 , V. V. Kaganov 3 1 Institute of Physicochemical and Biological Problems of Soil Sciences, Russian Academy of Sciences Institutskaya st., 2, Pushchino, Moscow Oblast, 142290, Russia E-mail: larionova_al@rambler.ru 2 Faculty of Chemistry, Lomonosov Moscow State University Leninskie gory, 1, bldg.3, Moscow, 119991, Russia 3 Center for Forest Ecology and Productivity of the Russian Academy of Sciences Profsoyuznaya st., 84/32, bldg. 14, Moscow, 117997, Russia Received 16 June 2016 We carried out long-term incubations to study the contribution of endogenous and exogenous nitrogen to decomposition of various fractions of forest litter, sampled in linden, pine and aspen mixed forest in Prioksko-Terrasny Nature Reserve. Based on C:N ratio signatures (including endogenous nitrogen) the following sequence was found: mortmass of cyanobacteria Nostoсcommunae (C:N ratio 9), deciduous litter (C:N ratio 32), pine needles litter (C:N ratio 66), pine bark litter (C:N ratio 84), coarse woody debris of linden (C:N ratio 206), coarse woody debris of pine (C:N ratio 510). To find the effect of exogenous nitrogen we applied NH 4 NO 3 to the litters until the prescribed C:N ratio in the range of 5 to 204 has been reached. Mineralization was assessed by CO 2 emission intensity. Humification was measured by changes in the share of structural fragments in organic matter of litter from solid-state 13 C NMR. We found logarithmic relationship between the rate of carbon mineralization and initial C:N ratio in litter, having maximum at C:N ratio of 22. Mineral nitrogen treatment increased the intensity of mineralization of the litter fractions poor in nitrogen (C:N ratio exceeding 66) and inhibited CO 2 emission from decomposition of litter with high nitrogen content (C:N ratio from 9 to 32). During the litter decomposition the Alkyl/O-Alkyl ratio increased. It corresponds to the level of humification of plant matter in soils. Additional nitrogen treatment has stimulated humification, especially during pine needles decomposition. Thus we found the effect of endogenous and mineral nitrogen on both mineralization and humification of forest litter. Acknowledgements: This study was financially supported by the Russian foundation for basic research (14-04-01738, 14-04-01884). Keywords: forest litter, plant debris decomposition, C:N ratio, mineralization, humification, mineral nitrogen. REFERENCES Aleksandrova L.N., Organicheskoe veshchestvo pochvy i protsessy ee transformatsii (Organic matter of soils and the soil transformation), Leningrad: Nauka, 1980, 287 p. Allison S.D., Lebauer D.S., Ofrecio M.R., Reyes R., Ta A.-M., Tran T.M., Low levels of nitrogen addition stimulate decomposition by boreal forest fungi, Soil biology and biochemistry , 2009, Vol. 41, No. 2, pp. 293-302. Averkieva I.Y., Priputina I.V., Otsenka vliyaniya tekhnogennoi emissii NOx na pitatel'nyi rezhim lesnykh biogeotsenozov Podmoskov'ya (Nitrogen oxides (NOx) technogenic emission influence on Moscow Region forest biogeocoenoses trophic regime assessment), Vestnik Kostromskogo gosudarstvennogo universiteta im. N.A. Nekrasova , 2011, Vol. 17, No. 3, pp. 51-57. Berg B., Decomposition patterns for foliar litter - A theory for influencing factors, Soil biology and biochemistry , 2014, Vol. 78, pp. 222-232. Carreiro M.M., Sinsabaugh R.L., Repert D.A., Parkhurst D.F., Microbial enzyme shifts explain litter decay responses to simulated nitrogen deposition, Ecology , 2000, Vol. 81, No. 9, pp. 2359-2365. Chernogaeva G.M., Peshkov Y.V., Kotlyakova M.G., Smirnov V.D., Obzor sostoyaniya i zagryazneniya okruzhayushchei sredy v Rossiiskoi Federatsii za 2013 god (Review of environmental conditions and pollution in the Russian Federation in 2013), Moscow: Rosgidromet, 2014, 228 p. Dijkstra F.A., Hobbie S.E., Knops J.M.H., Reich P.B., Nitrogen deposition and plant species interact to influence soil carbon stabilization, Ecology letters , 2004, Vol. 7, No. 12, pp. 1192-1198. Goldman E., Green L.H., Practical handbook of microbiology , Boca Raton: CRC Press, 2015, 1055 p. Gruber N., Galloway N., An Earth-system perspective of the global nitrogen cycle, Nature , 2008, Vol. 451, No. 7176, pp. 293-296. Hobbie S.E., Eddy W.C., Buyarski C.R., Adair E.C., Ogdahl M.L., Weisenhorn P., Response of decomposing litter and its microbial community to multiple forms of nitrogen enrichment, Ecological monographs , 2012, Vol. 82, No. 3, pp. 389-405. Knorr M., Frey S.D., Curtis P.S., Nitrogen additions and litter decomposition: a meta-analysis, Ecology , 2005, Vol. 86, No. 12, pp. 3252-3257. Kogel-Knabner I., The macromolecular organic composition of plant and microbial residues as inputs to soil organic matter, Soil biology and biochemistry , 2002, Vol. 34, No. 2, pp. 139-162. Larionova A.A., Zolotareva B.N., Kolyagin Y.G., Kvitkina A.K., Kaganov V.V., Kudeyarov V.N., Composition of structural fragments and the mineralization rate of organic matter in zonal soils, Eurasian soil science , 2015, Vol. 48, No. 10, pp. 1110-1119. Leppanen S.M., Salemaa M., Smolander A., Makipaa R., Tiirola M., Nitrogen fixation and methanotrophy in forest mosses along a N deposition gradient, Environmental and experimental botany , 2013, Vol. 90, pp. 62-69. Orlov D.S., Biryukova O.N., Sukhanova N.I., Organicheskoe veshchestvo pochv Rossiiskoi Federatsii (Organic matter in soils of the Russian Federation), Moscow: Nauka, 1996, 253 p. Pestriakov V.K., Kovsh N.V., Popov A.I., Chukov S.N., Modelirovanie transformatsii organicheskikh veshchestv v laboratornom eksperimente (Organic substances transformation modelling in a laboratory experiment), Pochvovedenie , 1990, No. 3, pp. 30-41. Prescott C.E., Litter decomposition: what controls it and how can we alter it to sequester more carbon in forest soils? , Biogeochemistry , 2010, Vol. 101, No. 1, pp. 133-149. Preston C.M., Nault J.R., Trofymow J.A., Chemical changes during 6 years of decomposition of 11 litters in some Canadian forest sites. Part 2. 13 C abundance, solid-state 13 C NMR spectroscopy and the meaning of ''lignin'', Ecosystems , 2009, Vol. 12, No. 7, pp. 1078-1102. Preston C.M., Nault J.R., Trofymow J.A., Smyth C., Anderson D., Camire C., Duchesne L., Fyles J., Kozak L., Kranabetter M., Moore T., Morrison I., Prescott C., Siltanen M., Zoltai S., Titus B., Visser S., Wein R., White D., Kutny L., Chemical changes during 6 years of decomposition of 11 litters in some Canadian forest sites. Part 1. Elemental composition, tannins, phenolics, and proximate fractions Ecosystems , 2009, Vol. 12, No. 7, pp. 1053-1077. Pryanishnikov D.N., Azot v zhizni rastenii i v zemledelii SSSR (Nitrogen and the plant life, and crop farming in the USSR), Moscow - Leningrad: Izd-vo AN SSSR, 1945, 199 p. Safonov S.S., Karelin D.V., Grabar V.A., Latyshev B.A., Grabovskii V.I., Uvarova N.E., Zamolodchikov D.G., V.N. K., Gitarskii M.L., Emissiya dioksida ugleroda ot razlozheniya valezha v yuzhnotaezhnom el'nike (The Emission of Carbon from the Decomposition of Woody Debris in the Southern Taiga Spruce Forest), Lesovedenie , 2012, No. 5, pp. 44-49. Semenov V.M., Ivannikova L.A., Kuznetsova T.V., Semenova N.A., The role of plant biomass in the formation of the active pool of soil organic matter, Eurasian soil science , 2004, Vol. 37, No. 11, pp. 1196-1204. Sutton M.A., Howar C.M., Erisman J.W., Billen G., Bleeker A., Grennfelt P., Van Grinsven H., Grizzetti B., The European nitrogen assessment: sources, effects and policy perspectives , New York: Cambridge University Press, 2011, 664 p. Umarov M.M., Kurakov A.V., Stepanov A.L., Mikrobiologicheskaya transformatsiya azota v pochve (Microbial transformation of nitrogen in soils), Moscow: GEOS, 2007, 137 p. Vedrova E.F., Intensivnost' razlozheniya organicheskogo veshchestva na poverkhnosti i v tolshche pochvy (The intensity of organic matter decomposition at the surface and in the soil), In: Lesnye ekosistemy Eniseiskogo meridiana (Forest ecosystems of the Yenissei meridian), Novosibirsk: Izd-vo SO RAN, 2002, pp. 231-248 (356 p.). Vedrova E.F., Organic matter decomposition in forest litters, Eurasian soil science , 1997, Vol. 30, No. 2, pp. 216-223. Zhang D., Hui D., Luo Y., Zhou G., Rates of litter decomposition in terrestrial ecosystems: global patterns and controlling factors, Journal of plant ecology , 2008, Vol. 1, No. 1, pp. 85-93.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.016
GPT teacher head0.254
Teacher spread0.238 · 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 designBench or experimental
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
Admission routes1
Has abstractyes

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