Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Towards on the conservation of rare species Iris glaucescens (Iridaceae) in Novosibirsk oblast : ecoinformative multimodal analysis of the area. / Baikov, Konstantin; Doronkin, Vladimir.
INTERNATIONAL CONFERENCES PLANT DIVERSITY: STATUS, TRENDS, CONSERVATION CONCEPT 2020. ed. / EV Banaev; MA Tomoshevich; YG Zaytseva. Vol. 24 University of Lueneburg, Department of Economics and Social Sciences, Research Institute on Professions, 2020. p. 00007 (BIO Web of Conferences; Vol. 24).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Towards on the conservation of rare species Iris glaucescens (Iridaceae) in Novosibirsk oblast
T2 - International Conference on Plant Diversity - Status, Trends, Conservation Concept
AU - Baikov, Konstantin
AU - Doronkin, Vladimir
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - https://www.mendeley.com/catalogue/b19fa038-46d4-378d-8a84-67f418ad4474/
U2 - 10.1051/bioconf/20202400007
DO - 10.1051/bioconf/20202400007
M3 - Conference contribution
VL - 24
T3 - BIO Web of Conferences
SP - 00007
BT - INTERNATIONAL CONFERENCES PLANT DIVERSITY: STATUS, TRENDS, CONSERVATION CONCEPT 2020
A2 - Banaev, EV
A2 - Tomoshevich, MA
A2 - Zaytseva, YG
PB - University of Lueneburg, Department of Economics and Social Sciences, Research Institute on Professions
Y2 - 30 September 2020 through 3 October 2020
ER -
ID: 28014388