Issue |
BIO Web Conf.
Volume 24, 2020
International Conferences “Plant Diversity: Status, Trends, Conservation Concept” 2020
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Article Number | 00007 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/bioconf/20202400007 | |
Published online | 21 September 2020 |
Towards on the conservation of rare species Iris glaucescens (Iridaceae) in Novosibirsk oblast: ecoinformative multimodal analysis of the area
1 Central Siberian Botanical Garden of the Siberian Branch of the Russian Academy of Sciences (CSBG SB RAS), 630090 Novosibirsk, Russia
2 Novosibirsk State University, 630090 Novosibirsk, Russia
* Corresponding author: kbaikov2018@mail.ru
Multimodal ecoinformation analysis as an modern computative approach to geospatial investigation of biodiversity structure is performed on maximum entropy method for local populations of Iris glaucescens -rare species of vascular plants that is included in Red Book of Novosibirsk Oblast. The most informative environmental variables were ranged and examined in detail. According to obtained results, trio of the most important variables in the scale of 1/12 arc-degree (5.0 arc-minutes) global model, includes: 1) maximum average diurnal tempreature of surface air in the warmest period of an year (bio5) – 32.7%, annual mean temperature of surface air (bio1) – 11.2%, and maximum average diurnal tempreature of surface air in July (tmax7) – 9.0%. Three of the most important variables in the scale of 1/60 arc-degree (1.0 arc-minutes) regional model (Zone_18) are: maximum average diurnal tempreature of surface air in the warmest period of a year (bio5) -35.7%, maximum average diurnal tempreature of surface air in Juny (tmax6) – 23.1%, minimum average diurnal tempreature of surface air in October (tmin10) – 7,7%. Therefore, climatic variables that influense on the amount of heat in the warmest period of a year, may be taken into account as factors, limiting population size of I. glaucescens.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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