DE CÁCERES, Miquel, Milan CHYTRÝ, Emiliano AGRILLO, Fabio ATTORRE, Zoltán BOTTA-DUKÁT, Jorge CAPELO, Bálint CZÚCZ, Jürgen DENGLER, Jörg EWALD, Don FABER-LANGENDOEN, Enrico FEOLI, Scott B. FRANKLIN, Rosario GAVILÁN, Francois GILLET, Florian JANSEN, Francisco De Borja JIMÉNEZ ALFARO GONZÁLEZ, Pavel KRESTOV, Flavia LANDUCCI, Attila LENGYEL, Javier LOIDI, Ladislav MUCINA, Robert K. PEET, Dave W. ROBERTS, Jan ROLEČEK, Joop H.J. SCHAMINÉE, Sebastian SCHMIDTLEIN, Jean-Paul THEURILLAT, Lubomír TICHÝ, Donald A. WALKER, Otto WILDI, Wolfgang WILLNER and Susan K. WISER. A comparative framework for broad-scale plot-based vegetation classification. Applied Vegetation Science. Wiley, vol. 18, No 4, p. 543-560. ISSN 1402-2001. doi:10.1111/avsc.12179. 2015.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name A comparative framework for broad-scale plot-based vegetation classification
Authors DE CÁCERES, Miquel (724 Spain), Milan CHYTRÝ (203 Czech Republic, guarantor, belonging to the institution), Emiliano AGRILLO (380 Italy), Fabio ATTORRE (380 Italy), Zoltán BOTTA-DUKÁT (348 Hungary), Jorge CAPELO (620 Portugal), Bálint CZÚCZ (348 Hungary), Jürgen DENGLER (276 Germany), Jörg EWALD (276 Germany), Don FABER-LANGENDOEN (840 United States of America), Enrico FEOLI (380 Italy), Scott B. FRANKLIN (840 United States of America), Rosario GAVILÁN (724 Spain), Francois GILLET (250 France), Florian JANSEN (276 Germany), Francisco De Borja JIMÉNEZ ALFARO GONZÁLEZ (724 Spain, belonging to the institution), Pavel KRESTOV (643 Russian Federation), Flavia LANDUCCI (380 Italy, belonging to the institution), Attila LENGYEL (348 Hungary), Javier LOIDI (724 Spain), Ladislav MUCINA (40 Austria), Robert K. PEET (840 United States of America), Dave W. ROBERTS (840 United States of America), Jan ROLEČEK (203 Czech Republic), Joop H.J. SCHAMINÉE (528 Netherlands), Sebastian SCHMIDTLEIN (276 Germany), Jean-Paul THEURILLAT (756 Switzerland), Lubomír TICHÝ (203 Czech Republic, belonging to the institution), Donald A. WALKER (840 United States of America), Otto WILDI (756 Switzerland), Wolfgang WILLNER (40 Austria) and Susan K. WISER (840 United States of America).
Edition Applied Vegetation Science, Wiley, 2015, 1402-2001.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10600 1.6 Biological sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 2.308
RIV identification code RIV/00216224:14310/15:00081408
Organization unit Faculty of Science
UT WoS 000361181500002
Keywords in English Assignment rule; Braun-Blanquet approach; Classification system; Consistent classification section; EcoVeg approach; Phytosociology; Vegetation continuum; Vegetation type; Vegetation-plot database
Tags AKR, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Jan Roleček, Ph.D., učo 42706. Changed: 6/3/2018 13:36.
Aims: Classification of vegetation is an essential tool to describe, understand, predict and manage biodiversity. Given the multiplicity of approaches to classify vegetation, it is important to develop international consensus around a set of general guidelines and purpose-specific standard protocols. Before these goals can be achieved, however, it is necessary to identify and understand the different choices that are made during the process of classifying vegetation. This paper presents a framework to facilitate comparisons between broad-scale plot-based classification approaches. -- Results: Our framework is based on the distinction of four structural elements (plot record, vegetation type, consistent classification section and classification system) and two procedural elements (classification protocol and classification approach). For each element we describe essential properties that can be used for comparisons. We also review alternative choices regarding critical decisions of classification approaches; with a special focus on the procedures used to define vegetation types from plot records. We illustrate our comparative framework by applying it to different broad-scale classification approaches. -- Conclusions: Our framework will be useful for understanding and comparing plot-based vegetation classification approaches, as well as for integrating classification systems and their sections.
GAP505/11/0732, research and development projectName: Zobecněná řízená klasifikace v ekologii společenstev
Investor: Czech Science Foundation
PrintDisplayed: 19/4/2024 18:02