Numerical classification of French vegetation of Carici caryophylleae – Genistetea lobelii J.-C. Klein 1972

Carici-Genistetea lobelii Klein 1972 corresponds to cyrno-sardinian oromediterranean cushion scrub and related grasslands. In France, this class is only present in Corsica and the syntaxonomic scheme is debated among phytosociologists. The aim of this paper is to highlight the main plant associations of Carici-Genistetea lobelii Klein 1972 and to define the diagnostic species for each phytosociological unit. We compiled 519 vegetation plots and we applied EuropeanVegetationChecklist expert system for the classes of European vegetation to retain only vegetation plots belonging to Carici-Genistetea lobelii. We obtained a dataset with 189 vegetation plots and we classified them with Modified TWINSPAN classification. Our analyses recognized 6 plant associations and 3 sub-associations already described in the literature; and to describe a new alliance corresponding to the supra-mediterranean vegetations (Genistion salzmannii), a new association (Brimeuro fastigiatae-Juniperetum nanae) and its sub-association (alnetosum suaveolentis). For each of them, we identified diagnostic, constant and dominant species and produced their distribution map. Formal definitions were then written for each phytosociological unit (from subassociation to class) and grouped in an expert system to automatically classify the vegetations of Carici-Genistetea lobelii.

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Dry Grasslands in the Slovenský Kras MTS (Slovakia) and the Aggteleki-karszt MTS (Hungary) — A Comparison of Two Classification Approaches

Hacquetia ◽

10.2478/v10028-008-0007-2 ◽

2008 ◽

Vol 7 (2) ◽

pp. 123-140 ◽

Cited By ~ 1

Author(s):

Daniela Dübravková-Michálková ◽

Monika JanišOvá ◽

Jiří Kolbek ◽

Róbert Šuvada ◽

Viktor Virók ◽

...

Keyword(s):

Expert System ◽

Central Europe ◽

Numerical Classification ◽

Grassland Vegetation ◽

Dry Grassland ◽

Dry Grasslands ◽

Unsupervised Method ◽

Formal Definitions ◽

Phytosociological Relevés

Dry Grasslands in the Slovenský Kras MTS (Slovakia) and the Aggteleki-karszt MTS (Hungary) — A Comparison of Two Classification ApproachesThe paper brings numerical classification of 48 new phytosociological relevés of dry grassland vegetation from the Slovenský kras Mts and the Aggteleki-karszt Mts located on the border between Slovakia and Hungary (Central Europe). We performed a comparison of two classification approaches (an unsupervised method - modified TWINSPAN, and a supervised approach - electronic expert system based on formal definitions of associations), which were applied on the same dataset. Four associations were distinguished:Campanulo divergentiformis-Festucetum pallentisZólyomi (1936) 1966,Poo badensis-Caricetum humilis(Dostál 1933) Soó ex Michálková in Janišová et al. 2007,Alysso heterophylli-Festucetum valesiacae(Dostál 1933) Kliment in Kliment et al. 2000 andFestuco rupicolae-Caricetum humilisKlika 1939. A newly recorded stand of the rareStipetum tirsaeMeusel 1938 association is characterised. What is more, we established a neotype of theAlysso heterophylli-Festucetum valesiacaeassociation.

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Formalized Hierarchically Nested Expert System for Classification of Mesic and Wet Grasslands in Poland

Acta Societatis Botanicorum Poloniae ◽

10.5586/asbp.8941 ◽

2021 ◽

Vol 89 (4) ◽

Author(s):

Zygmunt Kącki ◽

Grzegorz Swacha ◽

Attila Lengyel ◽

Joanna Korzeniak

Keyword(s):

Expert System ◽

Classification System ◽

Hierarchical Level ◽

Formal Definitions ◽

Wet Grasslands ◽

Species Groups ◽

Definition Of ◽

The Given ◽

Vegetation Patches

The goal of this study was to propose a hierarchically nested classification system comprising four principal levels of the Braun-Blanquet system for Polish grasslands of the class <em>Molinio-Arrhenatheretea</em>. Using the Cocktail method, we defined consistent criteria for delimitation of the class, three orders, nine alliances, and 45 associations. Formal definitions were prepared using the summed cover and presence/absence information of species groups and individual dominant species. We created an expert system with a set of assignment rules that unambiguously classify relevés to a single unit at the given abstraction level of the Braun-Blanquet system in such a way that a relevé matched by the definition of a focal vegetation unit must be matched by definitions of all superior units. Of 11,535 relevés classified to <em>Molinio-Arrhenatheretea</em>, 36% were recognized at the association level, and 57% and 85% at the alliance and order level, respectively. All relevés were assigned unambiguously, meaning that a single relevé could not be assigned to more than one unit within the same hierarchical level (no overlap between vegetation units). This study is the first proposal of a hierarchically nested classification system that classifies grassland vegetation at different syntaxonomical levels unequivocally. It is important to create definitions for different syntaxonomical levels because the majority of vegetation patches do not fit to the associations, but can only be assigned to high-rank units such as alliance, order, or class.

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Formal definitions of Slovakian mire plant associations and their application in regional research

Biologia ◽

10.2478/s11756-007-0082-8 ◽

2007 ◽

Vol 62 (4) ◽

Cited By ~ 12

Author(s):

Daniel Dítě ◽

Michal Hájek ◽

Petra Hájková

Keyword(s):

Large Data ◽

Vegetation Types ◽

Regional Research ◽

Water Conductivity ◽

Data Set ◽

Study Region ◽

Calcium Gradient ◽

Plant Associations ◽

Formal Definitions

AbstractWe applied the Cocktail method to a large data set of 4 117 relevés of all Slovak vegetation types with the aim to create formalised definitions of all Slovakian mire plant associations. We defined 21 groups of species with the statistical tendency of joint occurrences in vegetation. These groups differed substantially in their position along the pH/calcium gradient. We further defined 24 plant associations according to presence and/or absence of certain groups and/or strong dominance of some species. Only six traditional plant associations were not possible to be reproduced this way. We applied our formalised definitions to the regional data set of mires from the surrounding of the Vysoké Tatry Mts. Combined with frequency-positive fidelity index this method has led to the classification of the majority of vegetation plots into ten associations. When the vegetation types obtained from Cocktail-based classification and from cluster analysis were compared with respect to measured pH and conductivity in the study region, 82% of pairs differed significantly either in pH or in water conductivity in the former classification and 69% in the latter one.

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

Vegetation of Russia ◽

10.31111/vegrus/2009.15.27 ◽

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.

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Expert system outline for the classification of sustainable flood retention basins (SFRBs)

Civil Engineering and Environmental Systems ◽

10.1080/10286600701240377 ◽

2007 ◽

Vol 24 (3) ◽

pp. 193-209 ◽

Cited By ~ 4

Author(s):

Miklas Scholz

Keyword(s):

Expert System ◽

Retention Basins ◽

Flood Retention

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Use of geomorphology in the classification of riparian plant associations in mountainous landscapes of central Oregon, U.S.A.

Forest Ecology and Management ◽

10.1016/0378-1127(90)90206-q ◽

1990 ◽

Vol 33-34 ◽

pp. 405-418 ◽

Cited By ~ 26

Author(s):

Bernard L. Kovalchik ◽

Lawrence A. Chitwood

Keyword(s):

Plant Associations ◽

Mountainous Landscapes ◽

Riparian Plant

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Classification of vegetation communities in which geese rear broods on the Yukon – Kuskokwim delta, Alaska

Canadian Journal of Botany ◽

10.1139/b94-158 ◽

1994 ◽

Vol 72 (9) ◽

pp. 1294-1301 ◽

Cited By ~ 12

Author(s):

Christopher A. Babcock ◽

Craig R. Ely

Keyword(s):

Salt Marsh ◽

Plant Communities ◽

Indicator Species Analysis ◽

Future Studies ◽

Brood Rearing ◽

Species Analysis ◽

Twinspan Classification ◽

Vegetation Complexes ◽

Air Photo

Plant communities are described from an area on the Yukon – Kuskokwim (Y-K) delta of Alaska that is used extensively for brood rearing by three species of geese. Earlier studies identified plant species important as food for young geese, but few studies describe or quantify plant communities. We classified species presence or absence information from over 700 quadrats using a two-way indicator species analysis (TWINSPAN) and then tested for agreement of signatures on colour infrared air photos with the identified communities. Sedges were found to dominate all but the wettest and driest communities. Most of the brood-rearing area was covered by Carex ramenskii and Carex rariflora meadows, ponds, Carex mackenziei-dominated pond margins, and C. ramenskii and grass levee meadows. Our interpretation of airphotos accurately predicted vegetation community classes, which will facilitate future studies of habitat selection by geese during the time they are rearing young. The TWINSPAN classification was comparable to classifications of studies conducted elsewhere on the Y-K delta. The interpretation of air photos will enable the identification and evaluation of wetland vegetation complexes and potential goose brood-rearing areas away from our study site. Key words: air-photo interpretation, Alaska, plant communities, salt marsh, Yukon – Kuskokwim delta.

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