Abstract
Ushbu tadqiqotda Markaziy Osiyo florasi uchun muhim bo‘lgan endemik tur — Ferula sumbul (Kauffm.) Hook. f. turining Nurota davlat tabiat qo‘riqxonasidagi ekologik nishasi va potensial tarqalish hududlari BIOCLIM modeli asosida baholandi. Modellashtirish jarayonida relyef, iqlim, radiatsiya, atmosfera, vegetatsiya va tuproq omillarini o‘z ichiga olgan ekologik ma’lumotlar Google Earth Engine platformasidan olinib, korrelyatsiya tahlili orqali 17 ta mustaqil bashoratlovchi omil tanlab olindi. Model 9 ta haqiqiy mavjudlik nuqtalari asosida qurildi. Natijalarga ko‘ra, turning ekologik jihatdan qulay hududlari qo‘riqxonaning janubi-markaziy qismidagi past tog‘ yonbag‘irlari va tog‘ etaklari bilan chegaralanib, umumiy maydonning atigi 2,18 % ini (8,31 km²) tashkil etdi. O‘zgaruvchilar muhimligi va PCA natijalari turning ekologik nishasi asosan yonbag‘ir ekspozitsiyasi, nishablik va iqlim omillari bilan belgilanishini, tuproq va vegetatsiya omillari esa ikkilamchi rol o‘ynashini ko‘rsatdi. Olingan natijalar turning tor ekologik nishaga ega va iqlim o‘zgarishlariga sezgir ekanligini tasdiqlab, Nurota qo‘riqxonasida ushbu turning muhofazasi va monitoringini ilmiy asoslash uchun muhim ahamiyatga ega.
References
1. Baskin, C.C., & Baskin, J.M. (2014). Seeds: Ecology, Biogeography, and Evolution of Dormancy and Germination. Academic Press.
2. Beshko, N. Yu. (2020). Flora of Central Asia: The Nuratau Mountains. Korea National Arboretum, Pocheon.
3. Booth, T.H. (2014). BIOCLIM: The first species distribution modelling package, its early applications and relevance to most current MAXENT studies. Diversity and Distributions, 20(1), 1–9.
4. Didan, K. (2015). MOD13A2 MODIS/Terra Vegetation Indices 16-Day L3 Global 1 km SIN Grid V006 [Data set]. NASA EOSDIS LP DAAC. https://doi.org/10.5067/MODIS/MOD13A2.006
5. Farr, T.G., et al. (2007). The Shuttle Radar Topography Mission. Reviews of Geophysics, 45(2). https://doi.org/10.1029/2005RG000183
6. Fick, S.E., & Hijmans, R.J. (2017). WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37, 4302–4315. https://doi.org/10.1002/joc.5086
7. Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., … Michaelsen, J. (2015). The Climate Hazards InfraRed Precipitation with Station data (CHIRPS) dataset. Remote Sensing, 7(2), 1–26. https://doi.org/10.3390/rs7010001
8. Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031
9. Hengl, T., de Jesus, J.M., MacMillan, R.A., Batjes, N.H., Heuvelink, G.B.M., Ribeiro, E., … Kempen, B. (2017). SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE, 12(2), e0169748. https://doi.org/10.1371/journal.pone.0169748
10. Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz Sabater, J., … Thépaut, J.-N. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146, 1999–2049. https://doi.org/10.1002/qj.3803
11. O‘Donnell, M.S., & Ignizio, D.A. (2012). Bioclimatic predictors for supporting ecological applications in the conterminous United States. U.S. Geological Survey Data Series 691.
12. Rodell, M., Houser, P.R., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.-J., Toll, D. (2004). The Global Land Data Assimilation System. Bulletin of the American Meteorological Society, 85(3), 381–394. https://doi.org/10.1175/BAMS-85-3-381
13. Vermote, E.F., Justice, C.O., & Kaufman, Y.J. (1997). MODIS Surface Reflectance Products: Algorithm Theoretical Basis Document. NASA. https://modis.gsfc.nasa.gov/data/dataprod/mod09.php
14. Volis, S., & Beshko, M. (2023). Endemic plant species of Nurota Mountains, Uzbekistan. Central Asian Journal of Ecology, 12(2), 45–59.
15. Wan, Z., Zhang, Y., Zhang, Q., & Li, Z.-L. (2004). Quality assessment and validation of the MODIS land surface temperature product. Remote Sensing of Environment, 91(3-4), 421–436. https://doi.org/10.1016/j.rse.2004.06.004
This work is licensed under a Creative Commons Attribution 4.0 International License.