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Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data
Book chapter

Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data

Ladislav Mucina and Lubomir Tichy
Vegetation Survey and Classification of Subtropical Forests of Southern Africa , pp.47-57
Geobotany Studies, Springer Nature
2018

Abstract

Life Sciences & Biomedicine Plant Sciences Science & Technology
In this chapter, we test whether the structural completeness (data stratified into structural layers-tree, shrub, herbaceous, epiphytes) in species-rich 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 forests. Besides obligatory sampling the tree layer, it appears that sampling the complete shrub layers (E2 alpha and E2 beta) layers is crucial, both for classification as well as for production of functional expert system.

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UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#14 Life Below Water
#15 Life on Land

Source: InCites

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