Paleogeography of the Sea of Azov region in the Late Holocene (reconstruction by diatom and pollen data from marine sediments)

2013 ◽  
Vol 284 ◽  
pp. 123-131 ◽  
Author(s):  
Gennady Matishov ◽  
Galina Kovaleva ◽  
Elena Novenko ◽  
Kristina Krasnorutskaya ◽  
Vladimir Pol'shin
2012 ◽  
Vol 444 (1) ◽  
pp. 656-660 ◽  
Author(s):  
G. G. Matishov ◽  
E. Yu. Novenko ◽  
K. V. Krasnorutskaya

2021 ◽  
Author(s):  
Jie Chen

<p>Loess-palaeosol sequences are the most intensively studied terrestrial archives used for the reconstruction of late Pleistocene environmental and climatic changes in the Sea of Azov region, southwest Russia. Here we present a revised luminescence-based chronostratigraphy and a multi-proxy record of late Pleistocene environmental dynamics of the most complete and representative loess-palaeosol sequences (Beglitsa and Chumbur-Kosa sections) from the Azov Sea region. We propose a new chronostratigraphy following the Chinese and Danubean loess stratigraphy models that refines the subdivision of the last interglacial palaeosol (S1) in two Azov Sea sites, resolves the uncertainty of the stratigraphic position of the weakly developed paleosol (L1SSm) in Beglitsa section, and allows direct correlation of the Azov Sea sections with those in the Danube Basin and the Chinese Loess Plateau. More importantly, it adds important data to better constrain local and regional chronostratigraphic correlations, and facilitates the interpretation of climatic connections and possible forcing mechanisms responsible for the climatic trend among these regions. In addition, a general succession of environmental dynamics is reconstructed from these two vital sections, which is broadly consistent with other loess records in the Dnieper Lowland and Lower Danube Basin, demonstrating similar climatic trends in these regions at glacial-interglacial time scales. However, differences in details were also identified, especially for palaeosols developed during the last interglacial period, and the cause of these dissimilarities between loess records appears complex.</p><p>Furthermore, our results have important implications for the chronostratigraphic representativeness of Beglitsa as a key loess section and the reconstruction of the temporal and spatial evolution of late Pleistocene palaeoclimate in the Sea of Azov region.</p><p> </p>


2009 ◽  
Vol 198 (1-2) ◽  
pp. 204-219 ◽  
Author(s):  
A.A. Velichko ◽  
N.R. Catto ◽  
M. Yu Kononov ◽  
T.D. Morozova ◽  
E. Yu Novenko ◽  
...  

2021 ◽  
Vol 498 (1) ◽  
pp. 436-440
Author(s):  
G. G. Matishov ◽  
L. V. Dashkevich ◽  
E. E. Kirillova

2012 ◽  
Vol 276-277 ◽  
pp. 242-252 ◽  
Author(s):  
Vera S. Baygusheva ◽  
Vadim V. Titov ◽  
Galina I. Timonina

2009 ◽  
Vol 429 (1) ◽  
pp. 1369-1372 ◽  
Author(s):  
G. G. Matishov ◽  
G. V. Kovaleva ◽  
V. V. Pol’shin

2020 ◽  
Author(s):  
Jie Chen

<p>Loess-paleosol sequences in eastern Europe, especially those at the Azov region, are among the sensitive terrestrial archives for past aeolian dynamics identification and paleoclimatic reconstruction within the Quaternary. Grain size analyses of loess sediments are widely used to interpret these transporting mechanisms and paleoclimatic changes, based on granulometric parameters and statistical decomposition methods. It is therefore of growing interest in the Earth Sciences and has been a major focus of sedimentary studies. Here, we present the unmixing grain size distribution results of a loess-paleosol section by jointly applying the standard deviation method and the end-member modeling in the Sea of Azov, Russia. The results indicated that two methods can produce the similar result on grain size decomposition, while the end-member modeling has advantage on quantitative and objective character. In addition, three main loess subpopulations or end-members with mode sizes of 8 μm, 18 μm and 32 μm respectively which represent distinct aerodynamic environments are identified from the grain size distribution in the Azov region. Thereinto, EM1 with mode size of 8 μm is the integrative result of combining atmosphere circulation with other environmental processes. EM2 with mode size of 18 μm is inferred to represent continuous background dust under non-dust storm conditions. EM3 with mode size of 32 μm is fraction that being transported in short-term, low-altitude suspension clouds during dust storm outbreaks. Of the three EMs, EM1 and EM2 have multiple origins due to their complex formation, whereas EM3 are primarily derived from the alluvial plains of different rivers in the Sea of Azov.</p>


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