MétaCan
Menu
← Back to cohort
Record W2908640630

СООТНОШЕНИЕ ОБЪЕМОВ ГРИБА И ДРЕВЕСНЫХ ТКАНЕЙ В ЭКТОМИКОРИЗНЫХ КОРНЯХ ХВОЙНЫХ

2015· article· ru· W2908640630 on OpenAlexaboutno aff
Д. В. Веселкин

Bibliographic record

VenueЖурнал "Лесоведение" · 2015
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

ISSN: 0024-1148 Russian Journal of Forest Science. 2015, No. 2, pp. 140-146 MODELLING OF LATERAL DISTRIBUTION OF TREE ROOTS OF VARIOUS FOREST TYPES D. V. Veselkin Ural Federal University named after the fi rst President of Russia B.N.Yeltsin Mira st. 19, Ekaterinburg, 620002, Russia E-mail: denis_v@ipae.uran.ru Received 11 November 2013 Two independent datasets from measurements of the sizes and volumetric ratios of hyphal sheaths and ectomycorrhizal roots of Abies sibirica , Abies spp., Picea obovata , Picea abies , Pinus sylvestris . According to both datasets roots and hyphal sheaths of firs are larger than of pines and spruces, however no differences in sizes of symbiotes between representatives of the three tree genera were observed. Our measured average partial volumes of hyphal sheath are 21% for Abies sibirica , 20% for Picea obovata , and 21% for Pinus sylvestris . Calculations of average partial volume of hyphal sheaths based on data of side authors differ, with 25% for species of Abies genus, 22% for Picea abies , and 24% for Pinus sylvestris . Keywords: Abies spp., Picea spp., Pinus sylvestris, ectomycorrhizal root, hyphal sheath. REFERENCES Begon M., Harper J., Townsend K., Ekologiya. Osobi, populyatsii i soobshchestva (Ecology: Individuals, Populations and Communities), Moscow: Mir, 1989, Vol. 2. p. 477. Veselkin D.V., Struktura ektomikoriz sosny obyknovennoi v svyazi s konkurentsiei drevostoya (Structure of the ectomycorrhizal of common pine in relation with the root competition of stand), In: Geneticheskie i ekologicheskie issledovaniya v lesnykh ekosistemakh (Genetic and ecological researches in forest ecosystems), Ekaterinburg: Izd-vo UrO RAN, 2001, pp. 113–126 (p. 127). Veselkin D.V., Izmenchivost' anatomicheskikh parametrov ektomikoriznykh okonchanii raznogo stroeniya (Variability of anatomical parameters in ectomycorrhizal tips of different structure), Mikologiya i fitopatologiya , 2003, Vol. 37, No. 1, pp. 22–29. Veselkin D.V., Anatomicheskoe stroenie ektomikoriz Abies sibirica Ledeb. i Picea obovata Ledeb. v usloviyakh zagryazneniya lesnykh ekosistem vybrosami medeplavil'nogo kombinata (Anatomical structure of ectomycorrhiza in Abies sibirica Ledeb. and Picea obovata Ledeb. under conditions of forest ecosystems polluted with emissions from copper-smelting works), Ekologiya , 2004a, No. 2, pp. 90–98. Veselkin D.V., Otsenka obemnoi doli gribnogo simbionta v ektomikoriznykh okonchaniyakh Picea obovata Ledeb., Abies sibirica Ledeb., Pinus sylvestris L. (Estimation of the volume fraction of the fungal symbiont in ectomycorrhizal tips of Picea obovata Ledeb., Abies sibirica Ledeb., Pinus sylvestris L.), In: Trudy instituta bioresursov i prikladnoi ekologii (Proceedings of the institute of biological resources and applied ecology), Orenburg: Izd-vo Orenburgskogo gosudarstvennogo pedagogicheskogouniversiteta, 2004 b, No. 4, pp. 5–11 (p. 91). Veselkin D.V., Reaktsiya ektomikoriz Pinus sylvestris L. na tekhnogennoe zagryaznenie razlichnykh tipov (Reaction of ectomycorhizae of Pinus sylvestris to man-made contamination of various types), Sibirskii ekologicheskii zhurnal , 2005, No. 4, pp. 753–761. Veselkin D.V., Vliyanie zagryazneniya razlichnykh tipov na raznoobrazie ektomikoriz Pinus sylvestris (Influence of different types of industrial pollution on diversity of Pinus sylvestris ectomycorrhizae), Mikologiya i fitopatologiya , 2006, Vol. 40. No. 2, pp. 122–132. Veselkin D.V., Raznoobrazie i anatomicheskoe stroenii ektomikoriz Picea obovata Ledeb. v vysotnom gradiente (gornyi massiv Denezhkin Kamen', Srednii Ural) (Diversity and anatomic structure of ectomycorrhizas of Picea obovata in the altitudinal gradient (the Denezhkin Kamen’ mountain ridge, Central Urals)), Sibirskii ekologicheskii zhurnal , 2008, Vol. 15, No. 3, pp. 497–505. Veselkin D.V., Vozrastnye izmeneniya ektomikoriznykh kornei Abies sibirica (Age-related changes of the Abies sibirica ectomycorrhizal roots), Vestnik Tverskogo gosudarstvennogo universiteta. Ser.: Biologiya i ekologiya , 2009, Vol. 16, No. 37, pp. 119–126. Veselkin D.V., Stroenie ektomikoriz eli sibirskoi (Picea obovata Ledeb.) v zavisimosti ot kharakteristik mestoobitanii (The structure of siberian spruce ectomycorrhiza related to habitats characteristics), Lesovedenie , 2010, No. 1, pp. 53–60. Sitte P., Weiler E.W., Kaderait J.W., Bresinski A., Korner C., Botanika: Uchebnik dlya VUZov. Vol. 4. Ekologiya (Lehrbuch der Botanik fur Hochschulen. Vol. 4. Ecology), Moscow: Akademiya, 2007, p. 256. Lobanov N.V., Mikotrofnost' drevesnykh rastenii (Mycotrophy of woody plants), Moscow: Lesnaya promyshlennost', 1971, p. 216. DEEMY – an information system for characterization and determination of ectomycorrhizae, Agerer R., Rambold G., 2004–2010, available at: www.deemy.de. Fogel R., Hunt G., Fungal and arborial biomass in a western Oregon Douglas-fir ecosystem: distribution patterns and turnover, Canadian Journal of Forest Research , 1979, Vol. 9, No. 2, pp. 245–256. Godbold D.L., Hoosbeek M.R,, Lukac M., Cotrufo M.F., Janssens I.A., Ceulemans R., Polle A., Velthorst E.J., Scarascia-Mugnozza G., De Angelis P., Miglietta F., Peressotti A., Mycorrhizal hyphal turnover as a dominant process for carbon input into soil organic matter, Plant and Soil , 2006, Vol. 281, No. 1–2, pp. 15–24. Harley J.L., Smith S.E., Mycorrhizal symbiosis . London; New York: Academic Press, 1983, p. 483. Hendricks J.J., Mitchell R.J., Kuehn K.A., Pecot S.D., Sims S.E., Measuring external mycelia production of ectomycorrhizal fungi in the field: the soil matrix matters, New Phytologist , 2006, Vol. 171, No 1, pp. 179–186. Hobbie E.A., Colpaert J.V., Nitrogen availability and colonization by mycorrhizal fungi correlate with nitrogen isotope patterns in plants, New Phytologist , 2003, Vol. 157, No. 1, pp. 115–126. Hogberg M.N., Hogberg P., Extramatrical ectomycorrhizal mycelium contributes one-third of microbial biomass and produces, together with associated roots, half the dissolved organic carbon in a forest soil, New Phytologist , 2002, Vol. 154, No. 3, pp. 791–795. Karen O., Nylund J.E., Effects of ammonium sulphate on the community structure and biomass of ectomycorrhizal fungi in a Norway spruce stand in southwestern Sweden, Canadian Journal of Botany , 1997, Vol. 75, No. 10, pp. 1628–1642. Nilsson L.O., Wallander H., Production of external mycelium by ectomycorrhizal fungi in a Norway spruce forest was reduced in response to nitrogen fertilization, New Phytologist , 2003, Vol. 158, No 2, pp. 409–416. Ostonen I., Lohmus K., Proportion of fungal mantle, cortex and stele of ectomycorrhizas in Picea abies (L.) Karst. in different soils and site conditions, Plant and Soil , 2003, Vol. 257, No. 2, pp. 435–442. Satomura T., Nakatsubo T., Horikoshi T., Estimation of the biomass of fine roots and mycorrhizal fungi: a case study in a Japanese red pine (Pinus densiflora) stand, Journal of Forest Research , 2003, Vol. 8, No. 3, pp. 221–225. Sokal R.R., Rohlf F.J., Biometry: the principles and practice of statistics in biological research , New York: Freeman, 1995, p. 887. Vogt K.A., Grier C.C., Meier C.E., Edmonds R.L., Mycorrhizal role in net primary production and nutrient cycling in Abies amabilis ecosystems in western Washington, Ecology, 1982, Vol. 63, No. 2, pp. 370–380 Wallander H., Nilsson L.O., Hagerberg D., Baath E., Estimation of the biomass and seasonal growth of external mycelium of ectomycorrhizal fungi in the field, New Phytologist , 2001, Vol. 151, No. 3, pp. 753–760.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0090.002

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 head0.064
GPT teacher head0.219
Teacher spread0.155 · 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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueЖурнал "Лесоведение"→Same topicForest Ecology and Biodiversity Studies→French-language works237,207→