Cyperaceae Juss. and Juncaceae A. Rich ex Kunt. Phytoliths of Western Siberia
Bibliographic record
Abstract
The article presents results of studies of silica phytoliths in seven species of Cyperaceae and two species of Juncaceae from Western Siberia. The participation of different morphotypes in the total phytolith assemblage was calculated as percentages. The analysis of the specificity of different forms of silicification was carried out. Keywords: Carex; Cyperaceae; Juncaceae; Juncus; Luzula; phytoliths; monocotyledons References: Blackman, E. (1971). Opaline silica bodies in the range grasses of southern Alberta. Canadian Journal of Botany, 49, 769-781. DOI: 10.1139/b2012-070. Blinnikov, M. (2005). Phytoliths in plants and soils of the interior Pacific Northwest, USA. Review of Palaeobotany and Palynology, 135, 71-98. DOI: 10.1016/j.revpalbo.2005.02.006. Bobrov, A. A., Semenov, A. N., & Alexeev, Yu. E. (2016). Phytoliths of species some genera of the family Cyperaceae. Environmental dynamics and global climate change, 7(1), 27-33 (in Russian). Gol'eva, A. A. (2001). Phytoliths and their information role in natural and archaeological objects. Moscow-Syktyvkar: Elista (in Russian). Fredlund, G., & Tieszen, L. T. (1994). Modern phytolith assemblages from the North American Great Plains. Journal of Biogeography, 21(3), 321-335. DOI: 10.2307/2845533. Kiseleva, N. K. (2006). Phytolith analysis in paleoecological research. In: Savinetsky A. B. (ed). The Dynamics of Modern Ecosystems in the Holocene Proceedings of the Russian Scientific Conference (Yekaterinburg, 2-3 February 2006). Moskow: KMK Scientific Press Ltd. (in Russian). Kondo, R., Childs, C., Atkinson, I. (1994). Opal Phytoliths of New Zealand. Lincoln: Manaaki Whenua Press. Kumar, S., Soukup, M., & Elbaum, R. (2017). Silicification in grasses: variation between different cell types. Frontiers in Plant Science, 8(438). DOI: 10.3389/fpls.2017.00438. Matiushkina, L. A., Golyeva, A. A., Stenina, A. S., & Kharitonova, G. V. (2017). Forms of biogenic silica in meadow soils of the Middle Amur Lowland. Regionalnyye problemy (Regional problems), 20(1), 34-38 (in Russian). Mehra, P. N., & Sharma, O. P. (1965). Epidermal silica cells in the Cyperaceae. Botanical Gazette, 126(1), 53-58. Neumann, K., Fahmy, A. G., Muller-Scheebel, N., & Schmidt, M. (2017). Taxonomic, ecological and palaeoecological significance of leaf phytoliths in West African grasses. Quaternary International, 434(B), 15-32. DOI: 10.1016/j.quaint.2015.11.039. Novello A., & Barboni, D. (2015). Grass inflorescence phytoliths of useful species and wild cereals from sub-Saharan Africa. Journal of Archaeological Science, 59, 10-22. DOI: 10.1016/j.jas.2015.03.031. Semenyak, N. S., Golyeva, А. А., Syrovatko, A. S., & Troshina, A. A. (2018). The comparative characteristics phytolith, pollen and charcoal methods (by materials archaeological sites in the middle river Oka I millennium AD). Problems of Botany of South Siberia and Mongolia: Proceedings of 17th International Scientific-Practical Conference (Barnaul, Altai Republic 24-26 May 2018). Barnaul: Publishing Altai St. University, 304-308 (in Russian). Silantyeva, M., Solomonova, M., Speranskaja, N., & Blinnikov, M. S. (2018). Phytoliths of temperate forest-steppe: A case study from the Altay, Russia. Review of Palaeobotany and Palynology. 250, 1-15. Solomonova, M. Yu., Grebennikova, A. Yu., Kornievskaya, T. V., Mitus, A. A. (2016). First results of the recent basis design for paleoecological phytolith researches of North Kulunda. Privolzhsky nauchny vestnik, 11(63), 11-16 (in Russian). Speranskaya, N. Yu., Solomonova, M. Yu., Silantyeva, M. M., Genrih, Yu. V., & Blinnikov, M. S. (2018). Cereal phytoliths of Northern Altai. Ukrainian Journal of Ecology, 8(1), 762-771 (In Russian). Stromberg, C. A. E., Dunn, R. E., Crifo, C., & Harris, E. B. (2018). Phytoliths in Paleoecology: Analytical Considerations, Current Use and Future Directions. Chapter 12. In: Croft D.A., Su D.F., Simpson S.W. (eds.). Methods in Paleoecology: Reconstructing Cenozoic Terrestrial Environments and Ecological Communities, Vertebrate Paleobiology and Paleoanthropology. Springer International Publishing, 235-287. DOI: 10.1007/978-3-319-94265-0_12. Thorn, V. C. (2004). An annotated bibliography of phytolith analysis and atlas of selected New Zelend subsntarctic and subalpine phytoliths. Antarctic Data Series, 29, 61-67. Wallis, L. (2003). An overview of leaf phytolith production patterns in selected northwest Australian flora. Review of Palaeobotany and Palynology, 125, 201-248.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".