C 2018

Classification of the Albany Coastal Forests

MUCINA, Ladislav, Anthony P. DOLD, Lubomír TICHÝ and Adriaan VAN NIEKERK

Basic information

Original name

Classification of the Albany Coastal Forests

Authors

MUCINA, Ladislav (40 Austria), Anthony P. DOLD (710 South Africa), Lubomír TICHÝ (203 Czech Republic, belonging to the institution) and Adriaan VAN NIEKERK (710 South Africa)

Edition

SWITZERLAND, VEGETATION SURVEY AND CLASSIFICATION OF SUBTROPICAL FORESTS OF SOUTHERN AFRICA, p. 59-90, 32 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/00216224:14310/18:00101732

Organization unit

Faculty of Science

ISBN

978-3-319-67831-3

UT WoS

000435900500005

Keywords in English

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

Tags

International impact, Reviewed
Změněno: 24/6/2022 11:06, Mgr. Marie Šípková, DiS.

Abstract

V originále

Albany Coastal Forests are subtropical vegetation type occurring in the western part of the Eastern Cape Province of South Africa. Alexandria Forest is 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 (based on full-floristic vegetation plots) of these forests and the classification which yielded six forest (habitat-level) communities, grouped into three Forest Subtypes. The major tree dominants in these forests are Celtis africana, Afrocarpus falcatus, Mimusops obovata, Erythrina caffra, Apodytes dimidiata, Maytenus undata and Sideroxylon inerme. Canonical correspondence analysis was used to characterise major environmental drivers underpinning the revealed vegetation patterns. An identification key assisting in field recognition of forest subtypes and communities is also presented.

Links

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