scholarly journals Modern pollen data from pristine taiga forest of Pechora-Ilych state nature biosphere reserve (Komi republic, Russia): first results

2017 ◽  
Vol 26 ◽  
pp. 53 ◽  
Author(s):  
Olga Lisitsyna ◽  
Nikolay Smirnov ◽  
Aleksey Aleynikov
Keyword(s):  
Biosphere Reserve ◽  
Komi Republic ◽  
Pollen Data ◽  
Modern Pollen ◽  
Taiga Forest ◽  
First Results ◽  
State Nature

Species and coenotic diversity of fir (Abies sibirica) forests in foothill and mountain landscapes of the Northern and Subpolar Urals

2016 ◽  
pp. 3-20 ◽  
Author(s):  
S. V. Degteve ◽  
Y. A. Dubrovskiy ◽  
A. B. Novakovskiy
Keyword(s):  
Vascular Plant ◽  
Plant Cover ◽  
Biosphere Reserve ◽  
Komi Republic ◽  
Mean Value ◽  
Species Number ◽  
Abies Sibirica ◽  
Subpolar Urals ◽  
Α Diversity ◽  
Taiga Forest

The plant cover of the western macroslope of the Urals was studied by the researchers from the Institute of Biology of Komi Scientific Centre of the Ural Branch of the Russian Academy of Sciences since 1989. Investigations, that were carried out in the basin of the Unya river, Pechoro-Ilychsky biosphere reserve and national park «Yugyd va», allowed to obtain information on the structure, dynamics and species diversity for so far poorly studied fir (Abies sibirica) forests within the foothills and mountain zone of Northern and Subpolar Urals (Degteva, Dubrovskiy, 2014). Standard methods adopted in geobotany and forest typology (Ipatov, Mirin, 2008) were used, including Ipatov’s abundance scale for species in herb-dwarf shrub layer assess, at 79 sample plots of 400 m2 size. The data of 32 relevés kept in the phytocenarium of the Institute of Biology were taken into consideration. The level of α-diversity of vascular plants was assessed as a mean value of species number per plot. Ellenberg’s ecological scales (Degteva, Novakovskiy, 2012) adopted to the study area were used in assessing the relations of vegetation and main environmental factors (humidity, soil nutrition, soil acidity and illumination). Data processing was performed using the statistical packages SPSS and PC-ORD (McCune et. al., 2002). Coenoflora of fir forests of area in question includes 169 vascular plant species from 102 genera and 43 families. The leading families are Asteraceae and Poaceae. Species from 16 eco-coenotical groups are present in the coenoflora with 47.1 % belonging to "valley" eco-coenotical group and 29.7 % to taiga-forest one; 8 species are included into the Red Data Book of the Komi Republic.

On Drummondia sinensis var. ussuriensis (Drummondiaceae, Bryophyta)

2012 ◽  
Vol 46 ◽  
pp. 235-244 ◽  
Author(s):  
O. M. Afonina ◽  
V. Ya. Cherdantseva
Keyword(s):  
Far East ◽  
Biosphere Reserve ◽  
Southern Siberia ◽  
The Far East ◽  
North Eastern ◽  
The World ◽  
World Distribution ◽  
North Eastern Part ◽  
State Nature

Drummondia sinensis Mull. Hal. var. ussuriensis (Broth.) Vitt has been found in Sokhondinskiy State Nature Biosphere Reserve (Zabaikalsky Territory, Southern Siberia). Earlier it was known in Russia from the southern part of the Far East as well as in north-eastern part of China and North of Mongolia. The type variety of Drummondia sinensis occurs in eastern part of China, Japan and India. Description and illustration of D. sinensis var. ussuriensis based on the material collected in Russia are given, comparison with close taxa is provided, and the world distribution is dicussed.

scholarly journals Relación lluvia de polen-vetación en selvas de Quintana Roo

2017 ◽  
pp. 31 ◽  
Author(s):  
Gerald A. Islebe ◽  
Rogel Villanueva-Gutiérrez ◽  
Odilón Sánchez-Sánchez
Keyword(s):  
Zea Mays ◽  
Quintana Roo ◽  
Vegetation Types ◽  
Pollen Data ◽  
Indicator Taxa ◽  
Modern Pollen ◽  
Pollen Content ◽  
Ordination Techniques ◽  
Ordination Analysis ◽  
Pollen Rain

Modern pollen rain was studied along a 450 km long transect between Cancun-La Unión (Belizean border). Ten moss samples were collected in different vegetation types and analyzed for pollen content. The data were analyzed with classification (TWINSPAN), ordination analysis (DCA) and different association indices. Classification and ordination techniques allowed us to recognize three different pollen signals from semievergreen forest (with Maclura, Apocynaceae, Moraceae, Sapotaceae, Araceae, Cecropia, Celtis, Eugenia and Bursera), acahual (with con Coccoloba, Metopium, Anacardiaceae, Urticales, Melothria, Croton, Palmae) and disturbed vegetation (with Zea mays, Mimosa and Asteraceae ) . The degree of over-representation and underrepresentation of the pollen data with respect to the modem vegetation was established, being under-represented mostly entomophilous species. We can conclude that the actual pollen signal can be used for calibrating paleosignals, if clear groups of indicator taxa can be established.

scholarly journals Key parameters for landscape evolution and anthropogenisation estimation in the Kamchia River downstream region (Eastern Bulgaria)

2021 ◽  
Vol 5 (1) ◽  
pp. 86-93
Author(s):  
Stoyan Ivanov Vergiev ◽  
Mariana Filipova-Marinova ◽  
Daniela Toneva ◽  
Todorka Stankova ◽  
Diyana Dimova ◽  
...  
Keyword(s):  
Source Area ◽  
Critical Parameters ◽  
Vegetation Composition ◽  
Pollen Data ◽  
Plant Abundance ◽  
Pollen Type ◽  
Modern Pollen ◽  
Downstream Region ◽  
Pollen Productivity ◽  
Gis Environment

Pollen productivity еstimate (PPE) and relevant source area of pollen (RSAP) are critical parameters for quantitative interpretations of pollen data in palaeolandscape and palaeoecological reconstructions, and for analyses of the landscapes evolution and anthropogenisation as well. In light of this, the present paper endeavours to calculate PPE of key plant taxa and to define the RSAP in the Kamchia River Downstream Region (Eastern Bulgaria) in order to use them in landscape simulations and estimations. For the purposes of this research, a dataset of pollen counts from 10 modern pollen samples together with corresponding vegetation data, measured around each sample point in concentric rings, were collected in 2020. Three submodels of the Extended R-Value (ERV) model were used to relate pollen percentages to vegetation composition. Therewith, in order to create a calibrated model, the plant abundance of each pollen type was weighed by distance in GIS environment. The findings led to the conclusion that most of the tree taxa have PPE higher than 1 (ERV3 submodel). Cichoriceae, Fabaceae and Asteraceae have lower PPE.

Shaposhnikov Caucasian State Nature Biosphere Reserve

2020 ◽  
Author(s):  
Aleksey R. Bibin ◽  
Sergey A. Trepet ◽  
Evgeniy A. Grabenko ◽  
Tatyana V. Akatova
Keyword(s):  
Biosphere Reserve ◽  
State Nature

Application and limitations of the Artemisia/Chenopodiaceae pollen ratio in arid and semi-arid China

The Holocene ◽  
2012 ◽  
Vol 22 (12) ◽  
pp. 1385-1392 ◽  
Author(s):  
Yan Zhao ◽  
Hongyan Liu ◽  
Furong Li ◽  
Xiaozhong Huang ◽  
Jinghui Sun ◽  
...  
Keyword(s):  
Arid Regions ◽  
Positive Relationship ◽  
Vegetation Types ◽  
Pollen Data ◽  
Data Synthesis ◽  
Modern Pollen ◽  
Vegetation Zones ◽  
Desert Areas ◽  
Vegetation And Climate ◽  
Semi Arid

The Artemisia/Chenopodiaceae (A/C) ratio is assumed to be a useful index for reconstructing moisture changes in arid and semi-arid regions. Thorough modern pollen studies are still lacking to understand the reliability and limitation of A/C ratio as a moisture indicator, however. Here we review how well this ratio can be applied in arid and semi-arid China on the basis of new surface pollen data, previous data synthesis and other publications. Results indicate that variance in the A/C ratio can permit identification of modern vegetation types and that the A/C ratio generally has a positive relationship with annual precipitation. However, soil salinity, vegetation community composition, human activity and sample provenance (e.g. soil and lake sediments) will affect the values of the A/C ratio in different vegetation zones and therefore the A/C ratio is not comparable in different regions. We argue that the A/C ratio can only be used to reconstruct vegetation types and climate change in regions with precipitation <450–500 mm, and in steppe, steppe desert and desert areas. Careful studies should be undertaken to understand the modern pollen–vegetation–climate relationships in various regions before using the A/C ratio to interpret vegetation and climate.

scholarly journals Modern pollen data from Tuchola Forest

2017 ◽  
Vol 26 ◽  
pp. 27
Author(s):  
Anna Filbrandt-Czaja
Keyword(s):  
Pollen Data ◽  
Modern Pollen

scholarly journals Responses of the mangrove ecosystem to Holocene environmental change in the Sundarban Biosphere Reserve, India

2019 ◽  
Vol 59 (2) ◽  
pp. 391-409
Author(s):  
Arghya Kumar Hait ◽  
Hermann Behling
Keyword(s):  
Large Scale ◽  
Sediment Cores ◽  
Biosphere Reserve ◽  
Mangrove Ecosystem ◽  
High Rate ◽  
The Holocene ◽  
Modern Pollen ◽  
Pollen Rain ◽  
Sundarban Biosphere Reserve ◽  
Rain Study

Abstract The Sundarban Mangrove Forest in the Sundarban Biosphere Reserve, located at the mouth of the Ganga–Brahmaputra Delta in India, is the most diverse mangrove ecosystem in the world. Sediment cores were taken from two widely separated islands in that reserve: Chamta (CMT) and Sudhyanyakhali (SDK). Pollen analysis and radiocarbon dating were used to study the Holocene development and dynamics of this unique ecosystem. Modern pollen rain study reveals a strong relation between modern pollen rain and the present vegetation, as well as a high rate of Phoenix palludosa pollen production.The pollen records indicate that man-grove existed at CMT from ~5960 and at SDK from ~1520 cal yr BP. Changes in relative sea level, including the frequency and intensity of inundation as well as fluctuating precipitation, have been the major factors along with geomorphic processes that control the development and dynamics of the mangrove in the area during the Holocene. The mid Holocene mangrove at CMT declined, to be progressively replaced by successive communities, and eventually reached climax stage, while the SDK site is transitional in nature. The mangrove responds rapidly to changes in environmental conditions at both locations. Because of large-scale anthropogenic interventions, it is unlikely that similar rapid responses will occur in the future.

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