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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Vegetation and Environmental data used in 'Classification of wetland vegetation in the southern Waterberg, South Africa'

Authors: le Roux, Arni Benko; Barker, Nigel P; le Roux, Peter C; de Jager, Pieter Christiaan;

Vegetation and Environmental data used in 'Classification of wetland vegetation in the southern Waterberg, South Africa'

Abstract

This dataset contains vegetation and soil data collected from wetlands in the upper catchment of the Mokolo River in the Waterberg region, Limpopo Province, South Africa. The study aimed to characterise wetland vegetation types and examine relationships between vegetation composition and soil physicochemical properties within a Strategic Water Source Area. Vegetation data were collected following the National Wetland Classification System, with plant species composition and abundance recorded across multiple wetland sites. A total of 71 plant species from 28 families were identified and classified into seven distinct wetland vegetation types. Soil samples were collected at corresponding sampling points and analysed for physicochemical properties, including pH and concentrations of major cations and metals (e.g. Ca, Mg, Fe, Al, Cu), as well as organic carbon. Data are provided as comma-separated value (CSV) files, including vegetation species data and soil variables. 

Related Organizations
Keywords

Waterberg wetlands, Soil chemistry, vegetation classification

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average