Detailed Information on Publication Record
2018
Classification of the Albany Coastal Forests
MUCINA, Ladislav, Anthony P. DOLD, Lubomír TICHÝ and Adriaan VAN NIEKERKBasic 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
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 |
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