scholarly journals Symphyotrichum ciliatum in Romania: trends of spread and invaded plant communities

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Culiţă Sîrbu ◽  
Peter Ferus ◽  
Pavol Eliaš Jr. ◽  
Costel Samuil ◽  
Adrian Oprea

AbstractSymphyotrichum ciliatum was reported as invasive in Romania in the early 1970s. In this study we have analysed its invasion history, current distribution in Romania, habitat preferences and the associated plant communities. Data recorded during our recent field work, as well as from herbaria and previously published papers, were used in the analysis. This data confirms its invasive character. Given the abrupt increase in the slope of the invasion curve during the last decade, we can assume that S. ciliatum is still far from reaching the saturation phase of its invasion in Romania. Habitats invaded by this species are mostly anthropogenic herb stands associated with rail and road transport networks, and the continental inland salt steppes. The classical methodology of the Zürich- Montpellier school was used for the field phytosociological research and the classification of the investigated communities was done using the deductive method. The phytocoenoses dominated by S. ciliatum were classified as derivate communities. The description of these communities included data about plant composition, synecology and distribution in the study area.

2014 ◽  
Vol 56 (1) ◽  
pp. 155-167 ◽  
Author(s):  
Barbara Sudnik-Wójcikowska

<em>Iva xanthiifolia</em> Nutt., a north-American therophyte has been recorded in Warsaw only for the last 25-40 years. Here, it occurs as a ruderal epoecophyte. It may be considered as an invasive species in the town as it spreads very quickly. The paper represents the attempt at the determination of the coenological amplitude of <em>Iva xanthiifolia</em> Nutt. It also considers syntaxonomic affiliation of the communities with this species on the grounds of the deductive method of syntaxonomic classification of anthropogenic plant communities.


2011 ◽  
Vol 2 (3) ◽  
pp. 32-49 ◽  
Author(s):  
Daniel P. Dugas ◽  
Michael N. DeMers ◽  
Janet C. Greenlee ◽  
Walter G. Whitford ◽  
Anna Klimaszewski-Patterson

Management of desert grasslands requires rapid, low technology, coarse assessment methods that provide a triage-like prioritization for the manager. Such approaches necessitate the ability to quickly and effectively identify coarse-scale plant communities that provide guidance for this prioritization. Complex, computer intensive digital image classification of Landsat TM data, while marginally successful, requires time, equipment, and expertise not always available in such environments. This study identifies landform boundaries in the Armendaris Ranch, New Mexico by visual inspection of Landsat-7 Enhanced Thematic Mapper imagery and topographic maps using traditional photoreconnaissance techniques. Employing predetermined hierarchical landform classifications, it was possible to map plant communities using ecological relationships that exist between the general physiographic and vegetation settings in the area and representative geomorphic landform-mapping units. The authors’ field work verified the plant community map using a random walk approach and visual inspection. This synthetic expert opinion-based approach proved successful and is repeatable in other arid rangeland settings.


2013 ◽  
pp. 1541-1558
Author(s):  
Daniel P. Dugas ◽  
Michael N. DeMers ◽  
Janet C. Greenlee ◽  
Walter G. Whitford ◽  
Anna Klimaszewski-Patterson

Management of desert grasslands requires rapid, low technology, coarse assessment methods that provide a triage-like prioritization for the manager. Such approaches necessitate the ability to quickly and effectively identify coarse-scale plant communities that provide guidance for this prioritization. Complex, computer intensive digital image classification of Landsat TM data, while marginally successful, requires time, equipment, and expertise not always available in such environments. This study identifies landform boundaries in the Armendaris Ranch, New Mexico by visual inspection of Landsat-7 Enhanced Thematic Mapper imagery and topographic maps using traditional photoreconnaissance techniques. Employing predetermined hierarchical landform classifications, it was possible to map plant communities using ecological relationships that exist between the general physiographic and vegetation settings in the area and representative geomorphic landform-mapping units. The authors’ field work verified the plant community map using a random walk approach and visual inspection. This synthetic expert opinion-based approach proved successful and is repeatable in other arid rangeland settings.


2009 ◽  
pp. 152-154
Author(s):  
B. M. Mirkin ◽  
V. B. Martynenko ◽  
L. G. Naumova ◽  
S. M. Yamalov

The authors distinguish two variants of syntaxonomical analysis. The first one is a classical analysis with creation the complete syntaxonomical hierarchy. The second variant is non-classical analysis based on the “deductive” method of vegetation classification by K. Kopečky and S. Hejny. It has the reduced syntaxonomical hierarchy. The principal ways in making syntaxonomical decisions on classical analysis are formulized as follows: classical dichotomy, the usage of absence criteria, overlapping of diagnostic combinations, and etc. The rules for distinguishing of basal and derivate plant communities which have the transitional features, referring them to one or two higher units, are formulated. It is emphasized that the “deductive” method is the most acceptable for classification of synanthropic serial vegetation with low species richness.


Author(s):  
Daniel P. Dugas ◽  
Michael N. DeMers ◽  
Janet C. Greenlee ◽  
Walter G. Whitford ◽  
Anna Klimaszewski-Patterson

Management of desert grasslands requires rapid, low technology, coarse assessment methods that provide a triage-like prioritization for the manager. Such approaches necessitate the ability to quickly and effectively identify coarse-scale plant communities that provide guidance for this prioritization. Complex, computer intensive digital image classification of Landsat TM data, while marginally successful, requires time, equipment, and expertise not always available in such environments. This study identifies landform boundaries in the Armendaris Ranch, New Mexico by visual inspection of Landsat-7 Enhanced Thematic Mapper imagery and topographic maps using traditional photoreconnaissance techniques. Employing predetermined hierarchical landform classifications, it was possible to map plant communities using ecological relationships that exist between the general physiographic and vegetation settings in the area and representative geomorphic landform-mapping units. The authors’ field work verified the plant community map using a random walk approach and visual inspection. This synthetic expert opinion-based approach proved successful and is repeatable in other arid rangeland settings.


2009 ◽  
pp. 142-151 ◽  
Author(s):  
B. M. Mirkin ◽  
V. B. Martynenko ◽  
S. M. Yamalov ◽  
L. G. Naumova

The authors distinguish two variants of syntaxono­mical analysis. The first one is a classical analysis with creation the complete syntaxonomical hierarchy. The second variant is non-classical analysis based on the “deductive” method of vegetation classification by K. Kopečky and S. Hejny. It has the reduced syntaxono­mical hierarchy. The principal ways in making synta­xonomical decisions on classical analysis are formu­lized as fol­lows: classical dichotomy, the usage of absence criteria, overlapping of diagnostic combi­nations, and etc. The rules for distinguishing of basal and derivate plant communities which have the transi­tional features, referring them to one or two higher units, are formulated. It is emphasized that the “deduc­tive” method is the most acceptable for classification of synanthropic serial vegetation with low species richness.


2019 ◽  
pp. 135-142
Author(s):  
K. V. Ivanova ◽  
A. M. Lapina ◽  
V. V. Neshataev

The 2nd international scientific conference «Fundamental problems of vegetation classification» took place at the Nikitskiy Botanical Garden (Yalta, Republic of Crimea, Russia) on 15–20 September 2019. There were 56 participants from 33 cities and 43 research organizations in Russia. The conference was mostly focused on reviewing the success in classification of the vegetation done by Russian scientists in the past three years. The reports covered various topics such as classification, description of new syntaxonomical units, geobotanical mapping for different territories and types of vegetation, studies of space-time dynamics of plant communities. The final discussion on the last day covered problems yet to be solved: establishment of the Russian Prodromus and the National archive of vegetation, complications of higher education in the profile of geobotany, and the issue of the data leakage to foreign scientific journals. In conclusion, it was announced that the 3rd conference in Nikitskiy Botanical Garden will be held in 2022.


2015 ◽  
pp. 96-124
Author(s):  
E. G. Zibzeev ◽  
T. A. Nedovesova

The mountain systems are characterized by diverse ecological conditions (climate, geomorphological, soil, etc.). The wide spectrum of environmental conditions entails a rich diversity of plant communities growing on the small territory and determines the different flora and vegetation geneses. The uniqueness of floristic and coenotic diversities of the high-mountain vegetation of the south of Western Altai (Ivanovskiy, Prokhodnoi, and Rossypnoi Ranges) are associated with the effect of two climate-forcing factors such as the westerly humid air mass and dry warm airflow from the inner Kazakhstan regions. The paper summarizes the data on coenotic diversity (Zibzeev, 2010, 2012) and gives a syntaxonomic analysis of the high-mountain vege­tation in the Ivanovskii, Prokhodnoi, and Rossypnoi Ranges (Western Altai, Kazakhstan). The classification of plant communities was carried out using the Braun-Blanquet approach (Westhoff, van der Maarel, 1973). The relevés records were stored in the TURBOVEG database and classified by ­TWINSPAN (Hill 1979).


2009 ◽  
pp. 27-53
Author(s):  
A. Yu. Kudryavtsev

Diversity of plant communities in the nature reserve “Privolzhskaya Forest-Steppe”, Ostrovtsovsky area, is analyzed on the basis of the large-scale vegetation mapping data from 2000. The plant community classi­fication based on the Russian ecologic-phytocoenotic approach is carried out. 12 plant formations and 21 associations are distinguished according to dominant species and a combination of ecologic-phytocoenotic groups of species. A list of vegetation classification units as well as the characteristics of theshrub and woody communities are given in this paper.


2009 ◽  
pp. 3-14
Author(s):  
V. B. Golub ◽  
N. A. Grechushkina ◽  
A. N. Sorokin ◽  
L. F. Nikolaychuk

The classification of petrophytic vegetation of coastal steeps was proposed for the Northwest Cauca­sian coast of the Black Sea using the Braun-Blanquet approach. The main factors that influence the deve­lopment of vegetation in question are abrasion and denudation sea coast processes. The coastal steeps in study area are formed by carbonate flysch. The plant communities occur on rocky slopes with poorly deve­loped soil cover, fine stone chips as well as rock crevices. Nine associations and four communities without syntaxonomic rank were documented in the table and described with respect to their phyto­socio­logical affinities, ecology, and geographical location. Diagnostic species of syntaxa were established using phi-coefficient calculations of fidelity and Fisher’s exact test. In addition, the results of relevé ordination were given using the algorithm of non-metric multi­dimensional scaling (NMS) that is embedded in PC-ORD 5.0 software package.


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