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Список процитированных источников
1. Lyu L., Suvanto S., Nöjd P., Henttonen H.M., Mäkinen H., Zhang Q.B. Tree growth and its climate signal along latitudinal and altitudinal gradients: comparison of tree rings between Finland and the Tibetan Plateau // Biogeosciences. 2017. V. 14. P. 3083–3095. doi: 10.5194/bg-14-3083-2017
2. Klinge M., Dulamsuren C., Erasmi S., Karger D.N., Hauck M. Climate effects on vegetation vitality at the treeline of boreal forests of Mongolia // Biogeosciences. 2018. V. 15. P. 1319–1333. doi: 10.5194/bg-15-1319-2018
3. Kruse S., Gerdes A., Kath N.J., Epp L.S., Stoof-Leichsenring K.R., Pestryakova L.A., Herzschuh U. Dispersal distances and migration rates at the arctic treeline in Siberia – a genetic and simulation-based study // Biogeosciences. 2019. V. 16. No. 6. P. 1211–1224. doi: 10.5194/bg-16-1211-2019
4. Kharuk V.I., Im S.T., Petrov I.A. Alpine ecotone in the Siberian Mountains: vegetation response to warming // J. Mt. Sci. 2021. V. 18. P. 3099–3108. doi: 10.1007/s11629-021-6876-2
5. Grigoriev A.A., Shalaumova Yu.V., Vyukhin S.O., Balakin D.S., Kukarskikh V.V., Vyukhina A.A., Camarero J.J., Moiseev P.A. Upward treeline shifts in two regions of Subarctic Russia are governed by summer thermal and winter snow conditions // Forests. 2022. V. 13. Article No. 174. doi: 10.3390/f13020174
6. Moiseev P.A., Hagedor F., Balakin D.S., Bubnov M.O., Devi N.M., Kukarskih V.V., Mazepa V.S., Viyukhin S.O., Viyukhina A.A., Grigoriev A.A. Stand biomass at treeline ecotone in Russian Subarctic Mountains is primarily related to species composition but its dynamics driven by improvement of climatic conditions // Forests. 2022 V. 13. Article No. 254. doi: 10.3390/f13020254
7. Petrov I.A., Shushpanov A.S., Golyukov A.S., Dvinskaya M.L., Kharuk V.I. Dynamics of tree and shrub vegetation in the Eastern Sayan Mountain Tundra // Russ. J. Ecol. 2021. V. 52. P. 399–405. doi: 10.1134/S1067413621050118
8. Kharuk V.I., Im S.T., Dvinskaya M.L. Forest-tundra ecotone response to climate change in the Western Sayan Mountains, Siberia // Scand. J. For. Res. 2010. V. 25. No. 3. P. 224–233. doi: 10.1080/02827581003766959
9. Petrov I.A., Kharuk V.I., Dvinskaya M.L., Im S.T. Reaction of coniferous trees in the Kuznetsk Alatau alpine forest-tundra ecotone to climate change // Contemp. Probl. Ecol. 2015. V. 8. P. 423–430. doi: 10.1134/S1995425515040137
10. Pakharkova N., Borisova I., Sharafutdinov R., Gavrikov V. Photosynthetic pigments in Siberian pine and fir under climate warming and shift of the timberline // Forests. 2020. V. 11. Article No. 63. doi: 10.3390/f11010063
11. Tantsyrev N.V., Shobairi S.O.R., Usoltsev V.A., Sun L., Zhang H., Li C., He J., Hemmati Roudbari S., Asghari Beirami B., Ayombekov Q. Geographical peculiarities of Pinus sibirica Du Tour natural regeneration as related to its seed crops // Curr. World Environ. 2024. V. 19 No. 1. P. 109–123. doi: 10.12944/CWE.19.1.4
12. Velisevich S.N., Bender O.G., Goroshkevich S.N The influence of scion donor tree age on the growth and morphogenesis of Siberian stone pine grafts // New Forests. 2020. V. 52. P. 473–491. doi: 10.1007/s11056-020-09805-2
13. Furbank R.T., Tester M. Phenomics – technologies to relieve the phenotyping bottleneck // Trends Plant Sci. 2011. V. 16. No. 12. P. 635–644. doi: 10.1016/j.tplants.2011.09.005
14. Demidchik V.V., Shashko A.Y., Bandarenka U.Y., Smolikova G.N., Przhevalskaya D.A., Charnysh M.A., Pozhvanov G.A., Barkosvkyi A.V., Smolich I.I., Sokolik A.I., Yu M., Medvedev S.S. Plant phenomics: fundamental bases, software and hardware platforms, and machine learning // Russ. J. Plant Physiol. 2020. V. 67. No. 3. P. 397–412. doi: 10.1134/S1021443720030061
15. Rolfe S.A., Scholes J.D. Chlorophyll fluorescence imaging of plant-pathogen interactions // Protoplasma. 2010. V. 247. P. 163–175. doi: 10.1007/s00709-010-0203-z
16. Dutta S., Cruz J.A., Jiao Y., Chen J., Kramer D.M., Osteryoung K.W. Non-invasive, whole-plant imaging of chloroplast movement and chlorophyll fluorescence reveals photosynthetic phenotypes independent of chloroplast photorelocation defects in chloroplast division mutants // Plant J. 2015. V. 84. No. 2. P. 428–442. doi: 10.1111/tpj.13009
17. Kalaji H.M., Jajoo A., Oukarroum A., Brestic M., Zivcak M., Samborska I.A., Cetner M.D., Łukasik I., Goltsev V., Ladle R.J. Chlorophyll a fluorescence as a tool to monitor physiological status of plants under abiotic stress conditions // Acta Physiol. Plant. 2016. V. 38. Article No. 102. doi: 10.1007/s11738-016-2113-y
18. Smolikova G., Kreslavski V., Shiroglazova O., Bilova T., Sharova E., Frolov A., Medvedev S. Photochemical activity changes accompanying the embryogenesis of pea (Pisum sativum) with yellow and green cotyle-dons // Funct. Plant Biol. 2018. V. 45. No. 2. P. 228–235. doi: 10.1071/FP16379
19. Pakharkova N.V., Gaevsky N.A., Gette I.G. Parameters of Pinus sibirica photosynthetic apparatus for phenotyping trees in the high-altitude zone of the Western Sayan // J. Sib. Fed. Univ. Biol. 2024. V. 17. No. 2. P. 119–133 (in Russian).
20. WALZ – High Quality Instrumentation for Plant Sciences [Internet resource] http://www.walz.com (Accessed: 15.11.2024).
21. Rudikovskii A.V., Stolbicova A.V., Rudikovskaya E.G., Dudareva L.V. Role of phytohormones in the formation of dwarf and tall Siberian crabapple (Malus bаccata L. Borkh.) // Zemdirbyste. 2019. V. 106. No. 2. P. 167–172. doi: 10.13080/z-a.2019.106.022
22. Lichtenthaler H.K. Chlorophylls and carotenoids: Pigments of photosynthetic biomembranes // Methods in Enzymology / Eds. S.P. Colowick, N.O. Kaplan. San Diego: Academic Press, 1987. P. 350–382. doi: 10.1016/0076-6879(87)48036-1
23. Küpper H., Seibert S., Parameswaran A. Fast, sensitive, and inexpensive alternative to analytical pigment HPLC: quantification of chlorophylls and carotenoids in crude extracts by fitting with Gauss peak spectra // Anal. Chem. 2007. V. 79. No. 20. P. 7611–7627. doi: 10.1021/ac070236m
24. Rudikovskaya Е.G., Dudareva L.V., Shishparenok А.A., Osipova S.V., Stavitskaya Z.O., Rudikovskii А.V. Peculiarities of accumulation of photoprotective compounds by fruit of Siberian crabapple, Malus domestica Borkh. and their hybrids growing in conditions of Eastern Siberia // Sci. Hortic. 2019. V. 253. P. 303–308. doi: 10.1016/j.scienta.2019.04.034
25. Robakowski P. Susceptibility to low-temperature photoinhibition in three conifers differing in successional status // Tree Physiol. 2005. V. 25. No. 9. P. 1151–1160. doi: 10.1093/treephys/25.9.1151
26. Tuzhilkina V.V. Photosynthetic activity of coniferous undergrowth in connection with industrial logging // Theoretical and Applied Ecology. 2024. No. 2. P. 22–28 (in Russian). doi: 10.25750/1995-4301-2024-2-022-028
27. Öquist G., Huner N.P.A. Photosynthesis of overwintering evergreen plants // Annu. Rev. Plant Biol. 2003. V. 54. P. 329–355. doi: 10.1146/annurev.arplant.54.072402.115741
28. Ruban A.V. Evolution under the sun: optimizing light harvesting in photosynthesis // J. Exp. Bot. 2015. V. 66. No. 1. P. 7–23. doi: 10.1093/jxb/eru400
29. Pospíšil P. Mechanisms of non-photochemical chlorophyll fluorescence quenching in higher plants // Photosynthetica. 1997. V. 34. P. 343–355. doi: 10.1023/A:1006803832366
30. Maslova T.G., Markovskaya E.F., Slemnev N.N. Functions of carotenoids in leaves of higher plants (review) // Biol. Bull. Rev. 2021. V. 11. No. 5. P. 476–487. doi: 10.1134/S2079086421050078
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