Optimal transformation of species cover for vegetation classification

2020 ◽  
Vol 23 (4) ◽  
pp. 710-717
Author(s):  
Lubomír Tichý ◽  
Stephan M. Hennekens ◽  
Pavel Novák ◽  
John S. Rodwell ◽  
Joop H. J. Schaminée ◽  
...  
Keyword(s):  
Vegetation Classification ◽  
Species Cover

The problem of the primary reduction of species in the analysis of general geobotanical tables and the elaboration of analytic programs

2001 ◽  
pp. 99-106 ◽  
Author(s):  
Yu. N. Neshatayev
Keyword(s):  
Vegetation Classification ◽  
Sample Plot ◽  
Herb Layer ◽  
Huge Amount ◽  
Species List ◽  
Community Types ◽  
Primary Reduction

If one processes a huge amount of data when es­tabli­shing the vegetation classification, it appears necessary to use the uniform algorithms of analysis. Such goals as distinguishing the reliable community types (associations or other syntaxa) involve the operational reduction of either the species list, or (more seldom) the sample plot set. This is especially useful for the analysis of multi­specific communities of meadows, steppes, or another types of markedly continuous polydominant vegetation with «fuzzy» structure of the herb layer.

Second International scientific conference «Vegetation of Eastern Europe and Northern Asia» (Bryansk, 12­–13 October 2020)

2020 ◽  
pp. 149-153
Author(s):  
V. V. Neshataev ◽  
D. D. Karsonova ◽  
A. A. Kurka
Keyword(s):  
Eastern Europe ◽  
Vegetation Classification ◽  
Scientific Conference ◽  
State University ◽  
Research Projects ◽  
Joint Research ◽  
Northern Asia ◽  
Oral Presentations ◽  
Made In ◽  
Second International

On October 12th and 13th, 2020, Bryansk State University held an international scientific online conference "Vegetation of Eastern Europe and Northern Asia". The Proceedings of abstracts includes 66 reports by 118 authors and co-authors from 5 countries, 34 localities and 51 organizations. During the meeting, 41 oral presentations were made. In conclusion, it was noted that it is necessary to promote an integration of geobotanists and florists from different regions in order to implement joint research projects. In particular, this concerns a project of making a vegetation classification in Russia.

Second international scientific conference «Present fundamental problems of vegetation classification» (Yalta, 15–20 September 2019)

2019 ◽  
pp. 135-142
Author(s):  
K. V. Ivanova ◽  
A. M. Lapina ◽  
V. V. Neshataev
Keyword(s):  
Plant Communities ◽  
National Archive ◽  
Botanical Garden ◽  
Vegetation Classification ◽  
Scientific Conference ◽  
Scientific Journals ◽  
Time Dynamics ◽  
The Past ◽  
Research Organizations

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.

DRSA: a non-hierarchical clustering algorithm using k-NN graph and its application in vegetation classification

2015 ◽  
pp. 125-138 ◽  
Author(s):  
I. V. Goncharenko
Keyword(s):  
Cluster Analysis ◽  
Clustering Algorithm ◽  
Nearest Neighbor ◽  
Clustering Algorithms ◽  
Protein Structures ◽  
Hierarchical Cluster ◽  
Vegetation Classification ◽  
K Nearest Neighbor ◽  
Neighbor Graph ◽  
Nearest Neighbor Graph

In this article we proposed a new method of non-hierarchical cluster analysis using k-nearest-neighbor graph and discussed it with respect to vegetation classification. The method of k-nearest neighbor (k-NN) classification was originally developed in 1951 (Fix, Hodges, 1951). Later a term “k-NN graph” and a few algorithms of k-NN clustering appeared (Cover, Hart, 1967; Brito et al., 1997). In biology k-NN is used in analysis of protein structures and genome sequences. Most of k-NN clustering algorithms build «excessive» graph firstly, so called hypergraph, and then truncate it to subgraphs, just partitioning and coarsening hypergraph. We developed other strategy, the “upward” clustering in forming (assembling consequentially) one cluster after the other. Until today graph-based cluster analysis has not been considered concerning classification of vegetation datasets.

Classification of woody-shrub vegetation of the forest-steppe complex of Privolzhskaya Upland

2009 ◽  
pp. 27-53
Author(s):  
A. Yu. Kudryavtsev
Keyword(s):  
Plant Community ◽  
Plant Communities ◽  
Dominant Species ◽  
Large Scale ◽  
Nature Reserve ◽  
Vegetation Mapping ◽  
Vegetation Classification ◽  
Forest Steppe ◽  
Mapping Data

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.

scholarly journals A new world natural vegetation map for global change studies

2008 ◽  
Vol 80 (2) ◽  
pp. 397-408 ◽  
Author(s):  
David M. Lapola ◽  
Marcos D. Oyama ◽  
Carlos A. Nobre ◽  
Gilvan Sampaio
Keyword(s):  
Large Scale ◽  
New World ◽  
Climate Models ◽  
Global Climate ◽  
Horizontal Resolution ◽  
Vegetation Classification ◽  
Natural Vegetation ◽  
Global Climate Models ◽  
Vegetation Map ◽  
Vegetation Maps

We developed a new world natural vegetation map at 1 degree horizontal resolution for use in global climate models. We used the Dorman and Sellers vegetation classification with inclusion of a new biome: tropical seasonal forest, which refers to both deciduous and semi-deciduous tropical forests. SSiB biogeophysical parameters values for this new biome type are presented. Under this new vegetation classification we obtained a consensus map between two global natural vegetation maps widely used in climate studies. We found that these two maps assign different biomes in ca. 1/3 of the continental grid points. To obtain a new global natural vegetation map, non-consensus areas were filled according to regional consensus based on more than 100 regional maps available on the internet. To minimize the risk of using poor quality information, the regional maps were obtained from reliable internet sources, and the filling procedure was based on the consensus among several regional maps obtained from independent sources. The new map was designed to reproduce accurately both the large-scale distribution of the main vegetation types (as it builds on two reliable global natural vegetation maps) and the regional details (as it is based on the consensus of regional maps).

A remote sensing based vegetation classification logic for global land cover analysis

1995 ◽  
Vol 51 (1) ◽  
pp. 39-48 ◽  
Author(s):  
Steven W. Running ◽  
Thomas R. Loveland ◽  
Lars L. Pierce ◽  
R.R. Nemani ◽  
E.R. Hunt
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Vegetation Classification ◽  
Global Land Cover ◽  
Global Land

A comparison of bryophyte species diversity and niche structure of montane streams and stream banks

1987 ◽  
Vol 65 (9) ◽  
pp. 1824-1837 ◽  
Author(s):  
Janice M. Glime ◽  
Dale H. Vitt
Keyword(s):  
New York ◽  
Species Diversity ◽  
Water Surface ◽  
Niche Overlap ◽  
Niche Width ◽  
Vertical Distance ◽  
Substrate Size ◽  
Species Cover ◽  
Montane Streams ◽  
Stream Substrate

Eleven alkaline western Canadian montane streams were sampled by transects to compare the bryophyte species cover, diversity, frequency, richness, niche width, and niche overlap in three vertical zones (relative to water level) with the same parameters in four acidic streams on Slide Mountain in the Adirondack Mountains of New York. Resources for niche width and overlap include vertical distance from water surface, aspect in stream, substrate size, and percent bare substrate. Species cover, richness, and diversity increase from the submerged zone 1 (< −5 cm) to the terrestrial zone 3 (10–30 cm). Brillouin species diversity increases from 1.98 to 3.03 (means per stream) along the same gradient. All species except one from zone 1 also occur in zone 3. The niche widths for aspect in stream, substrate size, and vertical distance from water surface are all negatively correlated with their chi-square values, indicating that the width values are most reliable for small widths and become increasingly less reliable for large niche widths. Niche overlap is high among most species for at least one resource parameter.

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