Abstract
Rheum maximowiczii Losinsk. Markaziy Osiyoda tarqalgan, dorivor va oziq-ovqat ahamiyatiga ega tog‘ o‘simligidir. Ushbu tadqiqotning maqsadi turning O‘zbekiston hududidagi hozirgi va kelajakdagi potensial tarqalishini MaxEnt modeli yordamida baholash hamda uning geografik tarqalishini belgilovchi asosiy ekologik omillarni aniqlashdan iborat. 1970-2000-yillar, kelajak prognozlari 2041–2060 va 2061– 2080-yillar uchun RCP2.6 hamda RCP8.5 ssenariylarida bajarildi. Natijalarga ko‘ra, yillik yog‘in va eng sovuq chorakdagi yog‘in eng muhim omillar bo‘lib, harorat mavsumiyligi, balandlik, qiyalik va tuproq pH ham sezilarli ta’sir ko‘rsatdi. 1970–2000-yillarda Rheum maximowiczii uchun eng qulay yashash muhiti 7 575,15 km² ni tashkil etdi. 2041–2060- yillarda bu ko‘rsatkich RCP2.6 da 7 544,28 km², RCP8.5 da 8 242,36 km², 2061–2080- yillarda esa mos ravishda 8 275,94 va 8 447,81 km² ni tashkil etdi. Ushbu natijalar R. maximowiczii ning tabiiy populyatsiyalarini saqlash, ularning holatini muntazam kuzatib borish hamda turning rivojlanishi uchun eng maqbul ekologik hududlarni belgilashda ilmiy asos sifatida qo‘llanilishi mumkin.References
1. Tabin, S., Kamili, A. N., Ganie, S. A., Zargar, O., Sharma, V., & Gupta, R. C. (2016). Genetic diversity and population structure of Rheum species in Kashmir Himalaya based on ISSR markers. Flora, 223, 121–128. https://doi.org/10.1016/j.flora.2016.05.001
2. Xiang, H., Zuo, J., Guo, F., & Dong, D. (2020). What we already know about rhubarb: A comprehensive review. Chinese Medicine, 15, 88. https://doi.org/10.1186/s13020-020-00370-6
3. Yang, X., Dai, L., Yan, F., Ma, Y., Guo, X., Jenis, J., Wang, Y., Zhang, J., Miao, X., & Shang, X. (2024). The phytochemistry and pharmacology of three Rheum species: A comprehensive review with future perspectives. Phytomedicine, 131, 155772. https://doi.org/10.1016/j.phymed.2024.155772
4. He, M., Asatulloev, T., Yusupov, Z., Li, L., Meng, X., Li, Y., Tojibaev, K., & Sun, M. (2024). Rhubarb: A potent medicinal herb linking traditional medicine research between Uzbekistan and China. Plant Diversity of Central Asia, 3(2), 1–18. https://doi.org/10.54981/PCDA/vol3_iss2/art1
5. Aitzhan, M., Aimenova, Z., & Sumbembayev, A. (2024). Studying the species distribution of rhubarbs (Rheum L.) in Kazakhstan. BIO Web of Conferences, 100, 04034. https://doi.org/10.1051/bioconf/202410004034
6. Mohtashami, L., Amiri, M. S., Ayati, Z., Ramezani, M., Jamialahmadi, T., Emami, S. A., & Sahebkar, A. (2021). Ethnobotanical uses, phytochemistry and pharmacology of different Rheum species (Polygonaceae): A review. In Advances in experimental medicine and biology (Vol. 1308, pp. 309–352). Springer. https://doi.org/10.1007/978-3-030-64872-5_22
7. Rakhmataliev, A., Togaev, A., Ergashov, I., & Yusupov, Z. (2025). Ethnomedicinal and nutritional applications of Rheum maximowiczii Losinsk. in traditional medicine in Uzbekistan. Ethnobotany Research and Applications, 31, 1–8. https://doi.org/10.32859/era.31.44.1-8
8. Rakhmataliyev, A., Samiyev, L., Xonnazarov, R., & Yusupov, Z. (2026a). The importance of medicinal rhubarb in traditional medicine. In Proceedings of the Uzbekistan–China International Symposium on Current Issues in the Cultivation and Utilization of Medicinal Plants (pp. 182–192). Zenodo. https://doi.org/10.5281/zenodo.21356314
9. Rakhmataliev, A., Doniyorova, K., Togaev, A., Asatulloev, T., Zokhidov, G., & Samiev, L. (2026). Botanic-geographical and ecoregional insights into the distribution of Rheum L. in Uzbekistan and Central Asia. Ilmiy xabarlar, 8, 168-183. https://doi.org/10.70728/a.series.tab.v08.i08.019
10. Wang, J., Yusupov, Z., Rakhmataliev, A., Li, L., Li, T., Zeng, Q., He, M., Tojibaev, K., & Sun, M. (2026). Toward sustainable utilization: A multi-dimensional evaluation reveals the distinct chemical and toxicological profile of Rheum maximowiczii, a traditional Central Asian medicinal resource. Industrial Crops and Products, 248, 123584. https://doi.org/10.1016/j.indcrop.2026.123584
11. Freeman, B. G., Flantua, S. G. A., Feeley, K. J., et al. (2026). The fate of mountain biodiversity in a warming world. Nature Reviews Biodiversity, 2, 441–456. https://doi.org/10.1038/s44358-026-00167-9
12. Murali, G., Karger, D. N., & Wiens, J. J. (2026). Temperate local extinctions from climate change are outpacing tropical extinctions. Nature Climate Change, 16, 854–861. https://doi.org/10.1038/s41558-026-02669-y
13. Scholz, R. W., & Scholz, S. W. (2026). Projected increases in environmental resources due to population growth and wealth-driven dietary changes: Data, uncertainties, and prospects. Journal of Cleaner Production, 540, 147313. https://doi.org/10.1016/j.jclepro.2025.147313
14. Latif, R., & Nawaz, T. (2026). Medicinal plants and human health: A comprehensive review of bioactive compounds, therapeutic effects, and applications. Phytochemistry Reviews, 25, 2299–2342. https://doi.org/10.1007/s11101-025-10194-7
15. Mykhailenko, O., Jalil, B., McGaw, L. J., Echeverría, J., Takubessi, M., & Heinrich, M. (2025). Climate change and the sustainable use of medicinal plants: A call for “new” research strategies. Frontiers in Pharmacology, 15, 1496792. https://doi.org/10.3389/fphar.2024.1496792
16. Sharipov, A., Samatova, S., Makhkamov, T., Karamatova, G., Muminov, M., Chorshanbiyev, F., Shokirov, A., & Bussmann, R. W. (2025). Ethnobotanical investigation of Ferula tadshikorum Pimenov in Surkhandarya Region, Uzbekistan. Ethnobotany Research and Applications, 30, 60. https://doi.org/10.32859/era.30.60.1-11
17. Makhmudov, A., Abduraimov, O., Allamurotov, A., Maxmudov, V., Halimova, S., & Tojibayev, K. (2025). Scale for assessing the impact of operational stress on the resource potential of medicinal plants: A case study of Southern Uzbekistan. Environment and Ecology Research, 13(6), 850–867. https://doi.org/10.13189/eer.2025.130608
18. Özkan Tümer, Y., Caglayan, İ., Yeşil, A., & Iverson, L. (2026). Two decades of species distribution modeling: A systematic review of methods and applications. Ecological Modelling, 513, 111441. https://doi.org/10.1016/j.ecolmodel.2025.111441
19. Klaassen, M., Marques, T. A., Alves, F., & Fernandez, M. (2026). Trends in marine species distribution models: A review of methodological advances and future challenges. Ecography, 2026, e07702. https://doi.org/10.1002/ecog.07702
20. Xu, W., Zhu, S., Yang, T., Cheng, J., & Jin, J. (2022). Maximum entropy niche-based modeling for predicting the potential suitable habitats of a traditional medicinal plant (Rheum nanum) in Asia under climate change conditions. Agriculture, 12(5), 610. https://doi.org/10.3390/agriculture12050610
21. Wang, F., Yuan, X., Sun, Y., & Liu, Y. (2024). Species distribution modeling based on MaxEnt to inform biodiversity conservation in the Central Urban Area of Chongqing Municipality. Ecological Indicators, 158, 111491. https://doi.org/10.1016/j.ecolind.2023.111491
22. Tojibaev, K., Beshko, N., & Volis, S. (2019). Translocation of Otostegia bucharica, a highly threatened narrowly distributed relict shrub. Plant Diversity, 41(2), 111–116. https://doi.org/10.1016/j.pld.2019.01.005
23. Volis, S., & Beshko, N. (2023). How to preserve narrow endemics in view of climate change? The Nuratau Mountains as the case. Plant Diversity of Central Asia, 2(2), 83–102. https://doi.org/10.54981/PDCA/vol2_iss2/a3
24. Amaro, G., Fidelis, E. G., da Silva, R. S., & Marchioro, C. A. (2023). Effect of study area extent on the potential distribution of species: A case study with models for Raoiella indica Hirst (Acari: Tenuipalpidae). Ecological Modelling, 483, 110454. https://doi.org/10.1016/j.ecolmodel.2023.110454
25. Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3–4), 231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
26. Sillero, N. (2011). What does ecological modelling model? A proposed classification of ecological niche models based on their underlying methods. Ecological Modelling, 222(8), 1343–1346. https://doi.org/10.1016/j.ecolmodel.2011.01.018
27. Santana, P. A., Jr., Kumar, L., da Silva, R. S., Pereira, J. L., & Picanço, M. C. (2019). Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt. Pest Management Science, 75(10), 2706–2715. https://doi.org/10.1002/ps.5379
28. Phillips, S. J., Anderson, R. P., Dudík, M., Schapire, R. E., & Blair, M. E. (2017). Opening the black box: An open-source release of Maxent. Ecography, 40(7), 887–893. https://doi.org/10.1111/ecog.03049
29. Lu, Z., Shan, Y., Shan, H., Wen, H., Wu, Y., Han, R., & Tong, X. (2024). Effect of climate change on Clinopodium polycephalum (Vaniot) C. Y. Wu & S. J. Hsuan distribution adopting temporal data, ArcGIS, and the MaxEnt model. Frontiers in Plant Science, 15, 1445764. https://doi.org/10.3389/fpls.2024.1445764
30. Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143(1), 29–36. https://doi.org/10.1148/radiology.143.1.7063747
31. Chen, J., Yang, S., Li, H., Zhang, B., & Lv, J. (2013). Research on geographical environment unit division based on the method of natural breaks (Jenks). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-4/W3, 47–50. https://doi.org/10.5194/isprsarchives-XL-4-W3-47-2013
32. Cai, J., Wang, S., Fan, Z., Han, R., & Tong, X. (2026). Global potential distribution of Paeonia lactiflora and its climate-driven shifts: Insights from an enhanced MaxEnt model integrating soil and solar radiation variables. Frontiers in Plant Science, 17, 1756429. https://doi.org/10.3389/fpls.2026.1756429
33. Xu, W., Zhu, S., Yang, T., Cheng, J., & Jin, J. (2022). Maximum entropy niche-based modeling for predicting the potential suitable habitats of a traditional medicinal plant (Rheum nanum) in Asia under climate change conditions. Agriculture, 12(5), 610. https://doi.org/10.3390/agriculture12050610
34. Wani, I. A., Verma, S., Kumari, P., Charles, B., Hashim, M. J., & El-Serehy, H. A. (2021). Ecological assessment and environmental niche modelling of Himalayan rhubarb (Rheum webbianum Royle) in northwest Himalaya. PLOS ONE, 16(11), e0259345. https://doi.org/10.1371/journal.pone.0259345
35. Paudel, B. R., Subedi, C. K., Ghimire, S. K., Pyakurel, D., Rajbhandari, M., & Chaudhary, R. P. (2025). Impacts of climate change on the distribution pattern of Himalayan rhubarb (Rheum australe D. Don) in Nepal Himalaya. PLOS ONE, 20(5), e0323755. https://doi.org/10.1371/journal.pone.0323755
36. Aitzhan, M., Aimenova, Z., & Sumbembayev, A. (2024). Studying the species distribution of rhubarbs (Rheum L.) in Kazakhstan. BIO Web of Conferences, 100, 04034. https://doi.org/10.1051/bioconf/202410004034
37. Buzatti, R. S. O., Pfeilsticker, T. R., Muniz, A. C., Ellis, V. A., Souza, R. P., Lemos-Filho, J. P., & Lovato, M. B. (2019). Disentangling the environmental factors that shape genetic and phenotypic leaf trait variation in the tree Qualea grandiflora across the Brazilian Savanna. Frontiers in Plant Science, 10, 1580. https://doi.org/10.3389/fpls.2019.01580
38. Merow, C., Smith, M. J., & Silander, J. A., Jr. (2013). A practical guide to MaxEnt for modeling species’ distributions: What it does, and why inputs and settings matter. Ecography, 36(10), 1058–1069. https://doi.org/10.1111/j.1600-0587.2013.07872.x
39. Yang, L., Zhu, X., Song, W., Shi, X., & Huang, X. (2024). Predicting the potential distribution of 12 threatened medicinal plants on the Qinghai-Tibet Plateau, with a maximum entropy model. Ecology and Evolution, 14(2), e11042. https://doi.org/10.1002/ece3.11042
40. Karami, S., Ejtehadi, H., Moazzeni, H., Vaezi, J., & Behroozian, M. (2022). Minimal climate change impacts on the geographic distribution of Nepeta glomerulosa, medicinal species endemic to southwestern and central Asia. Scientific Reports, 12, 19893. https://doi.org/10.1038/s41598-022-24524-8
41. Graae, B. J., Vandvik, V., Armbruster, W. S., Eiserhardt, W. L., Svenning, J.-C., Hylander, K., Ehrlén, J., Speed, J. D. M., Klanderud, K., Bråthen, K. A., Milbau, A., Opedal, Ø. H., Alsos, I. G., Ejrnæs, R., Bruun, H. H., Birks, H. J. B., Westergaard, K. B., Birks, H. H., & Lenoir, J. (2018). Stay or go - how topographic complexity influences alpine plant population and community responses to climate change. Perspectives in Plant Ecology, Evolution and Systematics, 30, 41-50. https://doi.org/10.1016/j.ppees.2017.09.008
42. Rana, S. K., Rana, H. K., Stöcklin, J., Ranjitkar, S., Sun, H., & Song, B. (2022). Global warming pushes the distribution range of the two alpine ‘glasshouse’ Rheum species north- and upwards in the Eastern Himalayas and the Hengduan Mountains. Frontiers in Plant Science, 13, 925296. https://doi.org/10.3389/fpls.2022.925296
43. Anderson, R. P. (2013). A framework for using niche models to estimate impacts of climate change on species distributions. Annals of the New York Academy of Sciences, 1297(1), 8–28. https://doi.org/10.1111/nyas.12264
44. Guisan, A., & Thuiller, W. (2005). Predicting species distribution: Offering more than simple habitat models. Ecology Letters, 8(9), 993–1009. https://doi.org/10.1111/j.1461-0248.2005.00792.x
45. Soberón, J., & Peterson, A. T. (2005). Interpretation of models of fundamental ecological niches and species’ distributional areas. Biodiversity Informatics, 2. https://doi.org/10.17161/bi.v2i0.4