Titlebook: Vegetation Survey and Classification of Subtropical Forests of Southern Africa; Ladislav Mucina Book 2018 Springer International Publishin

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Classifying Subtropical Forests of South Africa: Rationale and Objectives,main (and subsidiary) objectives of this exercise, including collection of new field data and the classification of the forest vegetation into forest subtypes and habitat-level communities. Three forest types, such as Albany Coastal Forests, Pondoland Scarp Forests, and Eastern Scarp Forests have be

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Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data,ch subtropical forests impacts on classification outcome. We manipulated a well-structured (multi-layered) data set by successive removing structural layers. We have found that the herbaceous layer (E1) and the epiphytic synusia (E0) do not play an important role in classification of the subtropical

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Classification of the Albany Coastal Forests,s the largest complex of forest patches of this type. Smaller, numerous patches of the Albany forests occur in deeply incised valleys of the rivers in the Albany region. These forests are in contact with the matrix zonal vegetation of the subtropical Albany thickets. This chapter reports on survey (

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Classification of Pondoland Scarp Forests, valuable forest type of South Africa due to the relict character of the current extent and high plant endemism. This chapter present the first classification of the forest communities of this canyon-dominated region. Seven habitat-level communities have been recognised on basis of 47 full-floristic

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Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data, forests. Besides obligatory sampling the tree layer, it appears that sampling the complete shrub layers (E2α and E2β) layers is crucial, both for classification as well as for production of functional expert system.

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