A phytosociological classification of the Rustenburg Nature Reser ve

Bothalia ◽  
1975 ◽  
Vol 11 (4) ◽  
pp. 561-580 ◽  
Author(s):  
B. J. Coetzee

I he vegetation of the Rustenburg Nature Reserve, situated on the Magaliesberg in Acocks’s (1953) Sour Bushveld veld Type ot South Africa, is classified by the Braun-Blanquet Method. Five major vegetation types, including mam subtypes, basic community types, variations and sub-variations are described floristically, physiognomically and in terms of habitat features. The vegetation is mapped at community tvpe and variation level, at a scale of 1 : 30 000.

1977 ◽  
Vol 7 (2) ◽  
pp. 217-225 ◽  
Author(s):  
Roger Del Moral ◽  
James N. Long

Vegetation of the Cedar River watershed, located in the Cascade Mountains of western Washington, was analyzed by an agglomerative clustering method followed by discriminant analysis. Stepwise mutliple discriminant analysis provided a means to reallocate stands and assists in the production of a classification scheme and a key to the vegetation types. Ten types are recognized, six from upper-elevation older-growth stands, and four seral types from lower elevation stands logged since 1900. Each type can be identified in the field with a simple key based on cover percentage. The key provides a means for large-scale vegetation mapping with a limited amount of effort.


Bothalia ◽  
1974 ◽  
Vol 11 (3) ◽  
pp. 329-347 ◽  
Author(s):  
B. J. Coetzee

The vegetation of the Jack Scott Nature Reserve in the Central Bankenveld Veld Type is classified chiefly by the Braun-Blanquet Table Method. Habitat features, physiognomy, total floristic composition, differentiating species, woody plants and prominent grasses and forbs are presented for each community. Characterizing habitat features, in order of importance for the communities, are: exposure, soil texture, geology, slope, aspect, degree of rockiness and previous ploughing. The classification correlates well with the major physiographic and climatic variation in the Reserve and generally does not cut across main physiognomic types. The communities are potentially homogeneous management units.


1965 ◽  
Vol 43 (9) ◽  
pp. 1025-1036 ◽  
Author(s):  
H. Van Groenewoud

Physiognomy, ratio between percentage moss and herb cover, significant associations between species, and soil texture were used to group vegetation samples containing white spruce into community types.The averages of the "measured mean" pH, the minimum pH, and the maximum pH of three soil layers, the height growth of the white spruce trees, and the nitrogen content of the white spruce foliage of the community types were compared by t test. When a significant difference showed that the samples were drawn from different populations, this was taken to justify the acceptance of the community types as distinct entities with regard to the features investigated.Of the five community types originally recognized, only three were retained. They were respectively the Equisetum pratense type, the Equisetum arvense type, and a very variable community type typified by a more or less developed moss–herb–shrub vegetation.


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.


Koedoe ◽  
1995 ◽  
Vol 38 (1) ◽  
Author(s):  
G.J. Bredenkamp ◽  
H. Bezuidenhout

A procedure for the effective classification of large phytosociological data sets, and the combination of many data sets from various parts of the South African grasslands is demonstrated. The procedure suggests a region by region or project by project treatment of the data. The analyses are performed step by step to effectively bring together all releves of similar or related plant communities. The first step involves a separate numerical classification of each subset (region), and subsequent refinement by Braun- Blanquet procedures. The resulting plant communities are summarised in a single synoptic table, by calculating a synoptic value for each species in each community. In the second step all communities in the synoptic table are classified by numerical analysis, to bring related communities from different regions or studies together in a single cluster. After refinement of these clusters by Braun-Blanquet procedures, broad vegetation types are identified. As a third step phytosociological tables are compiled for each iden- tified broad vegetation type, and a comprehensive abstract hierarchy constructed.


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