Ferula Tadshikorum Pimenov Geographical Distribution Modeling and Climate Change Impact Assessment on the Distribution Area of the Species
DOI:
https://doi.org/10.51699/ijbea.v2i4.1395Abstract
Application of modern information technologies to botanical research, including models for predicting the potential distribution of species, is carried out through field studies and geographical points identified using collected herbarium specimens. [1].
References
Cruz-Cárdenas G. et al. 2014; Taylor-Rodríguez D. et al. 2017, Akbarov F.I., Tojibaev K.Sh., Creating a bioeconomic model of some endemic species of the flora of the Surkhondarya region // NamDU scientific newsletter. Namangan 2022. №4, P.127-133
Phillips, S. J., Dudík, M., & Schapire, R. E. A maximum entropy approach to species distribution modeling. // In Proceedings of the twenty‐first international conference on Machine learning.–Banff, Canada. – 2004. –Р. 655– 662
Pickering C., Hill W., Green K. Vascular plant diversity and climate change in the alpine zone of the Snowy Mountains, Australia //Biodiversity and Conservation. – 2008. – Т. 17. – №. 7. – С. 1627-1644., Leao T. C. C. et al. Predicting extinction risk of Brazilian Atlantic Forest angiosperms //Conservation Biology. – 2014. – Т. 28. – №. 5. – P. 1349-1359.
Rakhmonov Kh.S. Biology and resources of ferula tadshikorum. Pimen. In southern Tajikistan:. Dis.. cand. biol. Sciences. - Dushanbe: 2017. - 179 p.
Uzbekistan Red Book, 2019, put the works of Olimjon brother and Khamraeva). Makhmudov A.V., Ferula tadshikorum Pimenov-Tajik blanket. The Red Book of the Republic of Uzbekistan - Tashkent: Chinor ENK, 2019. - 95 p.
Turginov O.T. Boysun botanist-geographer of florasi districts:. Diss.. Cand. biol. Sciences. - Tashkent: 2017. - 223 p.
Phillips, S. J., Dudík, M., & Schapire, R. E. A maximum entropy approach to species distribution modeling. // In Proceedings of the twenty‐first international conference on Machine learning.–Banff, Canada. – 2004. –Р. 655– 662).; Phillips, S. J., Anderson, R. P., & Schapire, R. E. Maximum entropy modeling of species geographic distributions. // Ecological Modelling. – 2006. – №190. –Р. 231– 259)
Fick S. E., Hijmans R. J. WorldClim 2: new 1 km spatial resolution climate surfaces for global land areas //International journal of climatology. – 2017. – Т. 37. – №. 12. – С. 4302-4315.; www.worldclim.org
Fisher, G., F. Nachtergaele, S. Prieler, HT van Velthuizen, L. Verelst, D. Wiberg, 2008. Qishloq xo'jaligi uchun global agroekologik zonalarni baholash (GAEZ 2008) . IIASA, Laksenburg, Avstriya va FAO, Rim, Italiya.
Hijmans R. J., Guarino L., Mathur P. DIVA-Gis version 7.5 //A geographic information system for the analysis of species distribution data. – 2012
Phillips, S. J., Dudík, M., & Schapire, R. E. A maximum entropy approach to species distribution modeling. // In Proceedings of the twenty first international conference on Machine learning.–Banff, Canada. – 2004. –Р. 655– 662).; Phillips, S. J., Anderson, R. P., & Schapire, R. E. Maximum entropy modeling of species geographic distributions. // Ecological Modelling. – 2006. – №190. –Р. 231– 259)
Phillips, S. J., Anderson, R. P., Dudík, M., Schapire, R. E., & Blair, M. E. Opening the black box: An open‐source release of Maxent. // Ecography. – 2017. – № 40(7). – Р. 887-893.
Islam, Kamrul, Md Farhadur Rahman, Kazi Nazrul Islam, Tapan Kumar Nath, and Mohammed Jashimuddin. Modeling spatiotemporal distribution of Dipterocarpus turbinatus Gaertn. F in Bangladesh under climate change scenarios. // Journal of Sustainable Forestry – 2020. – №39 (3). – Р. 221-241.
Brown J. L., Bennett J. R., French C. M. SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses //PeerJ. – 2017. – Т. 5. – С. e4095.
Radosavljevic A., Anderson R. P. Making better Maxent models of species distributions: complexity, overfitting and evaluation //Journal of biogeography. – 2014. – Т. 41. – №. 4. – С. 629-643.
Wei B. et al. Predicting the current and future cultivation regions of Carthamus tinctorius L. using MaxEnt model under climate change in China //Global Ecology and Conservation. – 2018. – Т. 16. – С. e00477.
Stocker, T. F., Qin, D., Plattner, G. K., Alexander, L. V., Allen, S. K., Bindoff, N. L., & Xie, S. P. Technical summary. In Climate change 2013: the physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change // Cambridge University Press. – 2013. –P. 33-115.).
Kharkwal, G., Mehrotra, P., Rawat, Y. S., & Pangtey, Y. P. S. (2005). Phytodiversity and growth form in relation to altitudinal gradient in the Central Himalayan (Kumaun) region of India. Current Science, 873-878.
Pimenov M.G. A new species of Ferula from the subgenus Narthex (Falcon.) Drude. // Bull. Main Bot. garden, No. 94 (1974), 54 p.
Pimenov M.G. Genus Ferula L. - Ferula. Key to plants of Central Asia. Tashkent: Fan, 1983. - T. VII. P. 276-312
Khozhimatov O.K., Khamrayeva D.T. Study of the structure of the pericarp of the fruit of the valuable medicinal plant Ferula tadshikorum and the prospects for its cultivation in Uzbekistan. Spec. issue.UBZh. Tashkent. 2018. P.45–48.
Achilova N.T. Flora of Surkhan-Sherabad botanical-geographic region:. Dissertation prepared for the degree of Doctor of Philosophy (PhD) in Biological Sciences. 2021. - 220 p.
Abduraimov A.S. Flora of Torkopchigay Botanic-Geographic region. Dissertation prepared for the degree of Doctor of Philosophy (PhD) in Biological Sciences. 2021. – 316 p.
Khojimatov O.K., Khamraeva D.T., Mahmudov A.V., Khojanov A.N. // Instructions for growing the Ferula tadshikor Pimenov species from seeds in the conditions of South Uzbekistan. Tashkent, 2019. 24 p.
Ibragimov A.Zh. Flora of the Surkhansky reserve (Kugitang ridge):. Dissertation. cand. biol. Sciences. - Tashkent: 2010. - 160 p.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.