C 2018

Classification of Pondoland Scarp Forests

MUCINA, Ladislav, Anthony ABBOTT and Lubomír TICHÝ

Basic information

Original name

Classification of Pondoland Scarp Forests

Authors

MUCINA, Ladislav (40 Austria), Anthony ABBOTT (710 South Africa) and Lubomír TICHÝ (203 Czech Republic, belonging to the institution)

Edition

SWITZERLAND, VEGETATION SURVEY AND CLASSIFICATION OF SUBTROPICAL FORESTS OF SOUTHERN AFRICA, p. 91-124, 34 pp. Geobotany Studies, 2018

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG

Other information

Language

English

Type of outcome

Kapitola resp. kapitoly v odborné knize

Field of Study

10611 Plant sciences, botany

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14310/18:00101733

Organization unit

Faculty of Science

ISBN

978-3-319-67831-3

UT WoS

000435900500006

Keywords in English

DIGITAL ELEVATION MODELS; LAND COMPONENTS; CLASSIFICATION; FIDELITY; COMMUNITIES; UNITS

Tags

International impact, Reviewed
Změněno: 24/6/2022 11:14, Mgr. Marie Šípková, DiS.

Abstract

V originále

The Pondoland Scarp Forests (limited to the Wild Coast of the Eastern Cape Province and southwestern seaboards of KwaZulu-Natal) are probably the most valuable forest type of SouthAfrica 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 releve's. They have been grouped into three forest subtypes, reflecting the geographic position (Port St Johns vs Umtamvuna-Oribi area) as well as gradients strongly linked to topography. These forests are typical subtropical forests, very complex in structural terms, and also species rich. They deserve focused protection in greater extent than they are enjoying today.

Links

GA17-15168S, research and development project
Name: Expertní systémy nové generace pro klasifikaci vegetace v kontinentálním měřítku
Investor: Czech Science Foundation