Modeling of territories suitable for the habitat of Allium obliquum L., listed in the Red Book of Tomsk oblast, based on climatic data
УДК 582.572.225(571.16)
Keywords:
Allium obliquum, area, ecologo-climatic niche, SDM, MaxEnt
Abstract
Oblique onion – Allium obliquum – is included to the Tomsk Red Data Book with status 0 (probably an extinctspecies). The purpose of this study was to create a model of the territory, according to its climatic parameters, suitable for habitation of A. obliquum, as well as to reveal if the territory of Tomsk oblast as a whole is suitable for the growth of this species.Studies carried out using the MaxEnt algorithm showed that the current climatic conditions of Tomsk oblast as a whole arefavorable for A. obliquum occurence, and the climate change predicted by SCIRO for 2080 will not worsen them significantly.
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References
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Schelderman X., van Zonneveld M. Training manual on spatial analysis of plant diversity and distribution. – Rome: Biodiversity International, 2010. – 180 pp.
SCIRO URL: https://www.csiro.au (accessed 08.03.2021)
WorldClim URL: https://www.worldclim.org/data/index.html (accessed 06.12.2020)
Амельченко В. П. Лук косой Allium obliquum L. // Красная книга Томской области. Изд. 2-е, перераб, и доп. – Томск: Печатная мануфактура, 2013. – С. 322–323.
Фризен Н. В. Allium L. – Лук // Флора Сибири. Araceae – Orchidaceae. – Новосибирск: Наука, 1987. – С. 80, 188.
Чухина И. Г. Allium obliquum. L. // Агроэкологический атлас России и сопредельных стран: экономически значимые растения, их вредители, болезни и сорные растения. / Ред. А. Н. Афонин, С. Л. Грин, Н. И. Дзюбенко, А. Н. Фролов. 2008. URL: http://www.agroatlas.ru/ru/content/related/Allium_obliquum/index.html
Шафранский В. Г. Огород. Лук косой // Уральский садовод, 2016. – № 24. URL: http://www.uralsadovod.ru
Anderson R. P., Lew D., Peterson A. T. Evaluating predictive models of species’ distributions: criteria for selecting models // Ecological Modelling, 2003. – Vol. 162. – P. 211–232.
Araújo M. B., Pearson R. G., Thuiller W., Erhard M. Validation of species –climate impact models under climate change // Global Change Biology, 2005. – Vol. 11. – P. 1504–1513.
Brown J. L. SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses // Methods in Ecology and Evolution, 2014. – Vol. 5, No 7. – P. 694–700.
Bureau of Meteorology and CSIRO. Future climate URL: https://www.csiro.au/en/research/environmental-impacts/climate-change/State-of-the-Climate/Previous/State-of-the-Climate-2016/Future-climate (accessed 08.03.2021)
Elith J., Graham C. H., Anderson R. P., Dudik M., Ferrier S., Guisan A., Hijmans R. J., Huettmann F., Leathwick J., Lehmann A., Li J., Lohmann L. G., Loiselle B., Manion G., Moritz C., Nakamura M., Nakazawa Y., Overton J. M. C., Peterson A. T., Phillips S., Richardson K., Scachetti-Pereira R., Schapire R., Soberso J., Williams S., Wisz M., Zimmerman N. Novel methods improve prediction of species’ distributions from occurrence data // Ecogeography, 2006. – Vol. 29. – P. 129–151.
Fawcett T. An introduction to ROC analysis // Pattern Recognition Letters, 2006. – Vol. 27. – P. 861–874.
GBIF – Global Biodiversity Information Facility. URL: http://www.gbif.org (accessed 05.05.2021)
Guisan A., Thuiller W., Zimmermann N. E. Habitat suitability and distribution models: with application in R. – Cambridge: Cambridge University Press, 2017. – 478 p.
Phillips S. J, Anderson R. P, Schapire R. E. Maximum entropy modeling of species geographic distributions // Ecological Modelling, 2006. – Vol. 190. – P. 231–259.
Schelderman X., van Zonneveld M. Training manual on spatial analysis of plant diversity and distribution. – Rome: Biodiversity International, 2010. – 180 pp.
SCIRO URL: https://www.csiro.au (accessed 08.03.2021)
WorldClim URL: https://www.worldclim.org/data/index.html (accessed 06.12.2020)
Published
2021-09-17
How to Cite
Levchenko L. S., Olonova M. V. Modeling of territories suitable for the habitat of Allium obliquum L., listed in the Red Book of Tomsk oblast, based on climatic data // Проблемы ботаники Южной Сибири и Монголии, 2021. Vol. 20, № 1. P. 261-264 DOI: 10.14258/pbssm.2021050. URL: http://journal.asu.ru/bpssm/article/view/pbssm.2021050.
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Статьи
