MUCINA, Ladislav, Lubomír TICHÝ and Adriaan VAN NIEKERK. Classifying Subtropical Forests of South Africa: Data Sources and Methods. In VEGETATION SURVEY AND CLASSIFICATION OF SUBTROPICAL FORESTS OF SOUTHERN AFRICA. SWITZERLAND: SPRINGER INTERNATIONAL PUBLISHING AG, 2018, p. 7-46. Geobotany Studies. ISBN 978-3-319-67831-3. Available from: https://dx.doi.org/10.1007/978-3-319-67831-3_2.
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Basic information
Original name Classifying Subtropical Forests of South Africa: Data Sources and Methods
Authors MUCINA, Ladislav (40 Austria), 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. 7-46, 40 pp. Geobotany Studies, 2018.
Publisher SPRINGER INTERNATIONAL PUBLISHING AG
Other information
Original language English
Type of outcome Chapter(s) of a specialized book
Field of Study 10611 Plant sciences, botany
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14310/18:00101730
Organization unit Faculty of Science
ISBN 978-3-319-67831-3
Doi http://dx.doi.org/10.1007/978-3-319-67831-3_2
UT WoS 000435900500003
Keywords in English DIGITAL ELEVATION MODELS; LAND COMPONENTS; CLASSIFICATION; FIDELITY; COMMUNITIES; UNITS
Tags topvydavatel
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 24/6/2022 11:09.
Abstract
This chapter describes standard protocol for vegetation surveys in forests, focused on the identification and description of forest plant communities (and their groupings). The protocol uses spatial data on the distribution of forests as basis for the selection of targeted sampling sites, the methodology of the field vegetation (and environment) sampling, the procedures aimed at numerical data analysis, and the tools of the formal description of vegetation types in forests.
Links
GA17-15168S, research and development projectName: Expertní systémy nové generace pro klasifikaci vegetace v kontinentálním měřítku
Investor: Czech Science Foundation
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