Formalized approaches to phytosociological vegetation classification
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F00%3A00002518" target="_blank" >RIV/00216224:14310/00:00002518 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
čeština
Original language name
Formalizované přístupy k fytocenologické klasifikaci vegetace
Original language description
The current theory and methods of phytosociological vegetation classification are divided into two major types: imperfectly formalized approaches, which build classifications without explicit description of the classification process, and formalized approaches, which aim at precise definitions of classification criteria and algorithms, thus yielding repeatable classifications. These two approaches are not antagonistic, as each of them is better applicable in different situations. As a rule, the imperfectly formalized approach is invaluable in fine-scale classifications at the landscape level, whereas the formalized approach is superior for large-scale vegetation surveys. In this paper, application of the formalized methods of vegetation classificationin phytosociology is reviewed. First, classification criteria used in vegetation classification are evaluated. Second, possibilities for formalizing the phytosociological field sampling procedure are discussed, including the sample plot c
Czech name
Formalizované přístupy k fytocenologické klasifikaci vegetace
Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EH - Ecology - communities
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA206%2F99%2F1523" target="_blank" >GA206/99/1523: Parameterization of the phytosociological classification using large datasets</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2000
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Preslia
ISSN
0032-7786
e-ISSN
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Volume of the periodical
72
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
29
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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