scholarly journals Towards on the conservation of rare species Iris glaucescens (Iridaceae) in Novosibirsk oblast: ecoinformative multimodal analysis of the area

2020 ◽  
Vol 24 ◽  
pp. 00007
Author(s):  
Konstantin Baikov ◽  
Vladimir Doronkin
Keyword(s):  
Population Size ◽  
Rare Species ◽  
Environmental Variables ◽  
Vascular Plants ◽  
Maximum Entropy Method ◽  
Regional Model ◽  
Entropy Method ◽  
Novosibirsk Oblast ◽  
Multimodal Analysis ◽  
Local Populations

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.

scholarly journals Ecotypification of local populations of rare species Calvatia gigantea (Basidiomycota: Agaricales) in ultracontinental zones of Mongolia and Russia

2020 ◽  
Vol 24 ◽  
pp. 00034
Author(s):  
Nyamsuren Kherlenchimeg ◽  
Konstantin Baikov ◽  
Ganbaatar Burenbaatar
Keyword(s):  
Rare Species ◽  
Maximum Entropy Method ◽  
Local Population ◽  
Entropy Method ◽  
Central Mongolia ◽  
Local Populations ◽  
Climate Suitability ◽  
Territorial Group ◽  
Climate Comfort ◽  
Eastern Mongolia

Study of the levels of climatic comfort in localities of the rare species Calvatia gigantea from Agaricales of Basidiomycota is performed using multimodal ecoinformative approach with maximum entropy method. For numerically exact and correct assessment of the level of climate suitability, we propose recalculate the scale of probalility finding of a species into a new scale of climate suitability, with the next intervals: low suitable (1–3 points), ambivalent (4–6 points), and genuine suitable (7–9 points). Also there are two transit zones between these intervals. It has been astablished that local populations of the species in Altai territorial group differ significantly in levels of climatic comfort (3.2, 5.4, and 6.2 points). Local population near Sharangol in Khentei territorial cluster (Central Mongolia) gets 4.0 points of climate comfort, and local population in Khingan Mountains (Eastern Mongolia) gets 7.3 points, the best result in the set studied. The ecotypification of localities was carried out, according to which all the studied populations of C. gigantea are assigned to different ecotypes, since each studied locality is characterized by the unique climatic spectrum and the specific variable of the first rank.

Mapping of rare species vascular plants in the Baikal region

2016 ◽  
Vol 909 (3) ◽  
pp. 17-21
Author(s):  
N.I. Novitskaya ◽  
◽  
E.G. Suvorov ◽  
Keyword(s):  
Rare Species ◽  
Vascular Plants ◽  
Baikal Region

Enhanced Information Recovery in 2D On-and Off-Resonance Nutation NQR using the Maximum Entropy Method

1996 ◽  
Vol 51 (5-6) ◽  
pp. 337-347 ◽  
Author(s):  
Mariusz Maćkowiak ◽  
Piotr Kątowski
Keyword(s):  
Maximum Entropy ◽  
Maximum Entropy Method ◽  
Theoretical Description ◽  
Entropy Method ◽  
Zero Field ◽  
Resonance Effects ◽  
Information Recovery ◽  
Truncation Errors ◽  
Enhanced Resolution ◽  
2D Data

Abstract Two-dimensional zero-field nutation NQR spectroscopy has been used to determine the full quadrupolar tensor of spin - 3/2 nuclei in serveral molecular crystals containing the 3 5 Cl and 7 5 As nuclei. The problems of reconstructing 2D-nutation NQR spectra using conventional methods and the advantages of using implementation of the maximum entropy method (MEM) are analyzed. It is shown that the replacement of conventional Fourier transform by an alternative data processing by MEM in 2D NQR spectroscopy leads to sensitivity improvement, reduction of instrumental artefacts and truncation errors, shortened data acquisition times and suppression of noise, while at the same time increasing the resolution. The effects of off-resonance irradiation in nutation experiments are demonstrated both experimentally and theoretically. It is shown that off-resonance nutation spectroscopy is a useful extension of the conventional on-resonance experiments, thus facilitating the determination of asymmetry parameters in multiple spectrum. The theoretical description of the off-resonance effects in 2D nutation NQR spectroscopy is given, and general exact formulas for the asymmetry parameter are obtained. In off-resonance conditions, the resolution of the nutation NQR spectrum decreases with the spectrometer offset. However, an enhanced resolution can be achieved by using the maximum entropy method in 2D-data reconstruction.

Estimating the distribution of primary reflection coefficients

Geophysics ◽  
2003 ◽  
Vol 68 (4) ◽  
pp. 1417-1422 ◽  
Author(s):  
Danilo R. Velis
Keyword(s):  
Maximum Entropy ◽  
Maximum Entropy Method ◽  
Entropy Method ◽  
Reflection Coefficients ◽  
Log Data ◽  
Neuquen Basin ◽  
Neuquén Basin ◽  
Skewness And Kurtosis

The distribution of primary reflection coefficients can be estimated by means of the maximum entropy method, giving rise to smooth nonparametric functions which are consistent with the data. Instead of using classical moments (e.g. skewness and kurtosis) to constraint the maximization, nonconventional sample statistics help to improve the quality of the estimates. Results using real log data from various wells located in the Neuquen Basin (Argentina) show the effectiveness of the method to estimate both robust and consistent distributions that may be used to simulate realistic sequences.

ISLAND-SIZE DISTRIBUTIONS OF Ag ON Pd(111)

1996 ◽  
Vol 03 (03) ◽  
pp. 1393-1402 ◽  
Author(s):  
R. FISCHER ◽  
TH. FAUSTER ◽  
W. VON DER LINDEN ◽  
V. DOSE
Keyword(s):  
Maximum Entropy Method ◽  
Entropy Method ◽  
Bayesian Probability ◽  
Magic Numbers ◽  
Size Distributions ◽  
Island Size ◽  
Two Phase ◽  
Two Photon ◽  
Small Clusters ◽  
Image State

Island-size distributions of submonolayer Ag films on Pd(111) adsorbed at 90 K and after annealing of the film are recovered from two-photon photoemission spectra of the first image state. The inversion of the ill-conditioned problem with the maximum-entropy method reveals magic numbers in the island-size distributions. Hypothesis testing within the framework of Bayesian probability theory indicates a critical nucleus size i=1. After annealing of the film large islands coexist with small clusters in a two-phase state.

Maximum entropy method in phase-encoding NMR imaging

1987 ◽  
Vol 4 (1) ◽  
pp. 78-82 ◽  
Author(s):  
B. C. De Simone ◽  
F. De Luca ◽  
B. Maraviglia
Keyword(s):  
Maximum Entropy ◽  
Maximum Entropy Method ◽  
Entropy Method ◽  
Nmr Imaging ◽  
Phase Encoding
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