comparative framework for broad‐scale plot‐based vegetation classification
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...
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| Vydáno v: | Applied vegetation science Ročník 18; číslo 4; s. 543 - 560 |
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| Hlavní autoři: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Malden
Opulus Press
01.10.2015
Blackwell Publishing Ltd John Wiley & Sons Ltd Wiley Subscription Services, Inc Wiley |
| Témata: | |
| ISSN: | 1402-2001, 1654-109X |
| On-line přístup: | Získat plný text |
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| Abstract | 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. |
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| AbstractList | 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 frame- work 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. 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. 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. We present a comparison framework for vegetation classification that distinguishes four structural elements (plot record, vegetation type, consistent classification section and classification system) and two procedural elements (classification protocol and classification approach). The framework will be useful for understanding and comparing plot‐based vegetation classification approaches, as well as for integrating classification systems and their sections. 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. We present a comparison framework for vegetation classification that distinguishes four structural elements (plot record, vegetation type, consistent classification section and classification system) and two procedural elements (classification protocol and classification approach). The framework will be useful for understanding and comparing plot-based vegetation classification approaches, as well as for integrating classification systems and their sections. |
| Author | Jansen, Florian Roleček, Jan Jiménez-Alfaro, Borja Peet, Robert K. Roberts, David W. Dengler, Jürgen Feoli, Enrico Schaminée, Joop H.J. Krestov, Pavel Gillet, François Agrillo, Emiliano Loidi, Javier Lengyel, Attila Wiser, Susan K. Gavilán, Rosario Willner, Wolfgang Chytrý, Milan Franklin, Scott B. Theurillat, Jean-Paul Wildi, Otto Czúcz, Bálint Landucci, Flavia Attorre, Fabio Botta-Dukát, Zoltán Tichý, Lubomír De Cáceres, Miquel Capelo, Jorge Mucina, Ladislav Walker, Donald A. Ewald, Jörg Faber-Langendoen, Don Schmidtlein, Sebastian |
| Author_xml | – sequence: 1 fullname: De Cáceres, Miquel – sequence: 2 fullname: Chytrý, Milan – sequence: 3 fullname: Agrillo, Emiliano – sequence: 4 fullname: Attorre, Fabio – sequence: 5 fullname: Botta‐Dukát, Zoltán – sequence: 6 fullname: Capelo, Jorge – sequence: 7 fullname: Czúcz, Bálint – sequence: 8 fullname: Dengler, Jürgen – sequence: 9 fullname: Ewald, Jörg – sequence: 10 fullname: Faber‐Langendoen, Don – sequence: 11 fullname: Feoli, Enrico – sequence: 12 fullname: Franklin, Scott B – sequence: 13 fullname: Gavilán, Rosario – sequence: 14 fullname: Gillet, François – sequence: 15 fullname: Jansen, Florian – sequence: 16 fullname: Jiménez‐Alfaro, Borja – sequence: 17 fullname: Krestov, Pavel – sequence: 18 fullname: Landucci, Flavia – sequence: 19 fullname: Lengyel, Attila – sequence: 20 fullname: Loidi, Javier – sequence: 21 fullname: Mucina, Ladislav – sequence: 22 fullname: Peet, Robert K – sequence: 23 fullname: Roberts, David W – sequence: 24 fullname: Roleček, Jan – sequence: 25 fullname: Schaminée, Joop H.J – sequence: 26 fullname: Schmidtlein, Sebastian – sequence: 27 fullname: Theurillat, Jean‐Paul – sequence: 28 fullname: Tichý, Lubomír – sequence: 29 fullname: Walker, Donald A – sequence: 30 fullname: Wildi, Otto – sequence: 31 fullname: Willner, Wolfgang – sequence: 32 fullname: Wiser, Susan K – sequence: 33 fullname: Scheiner, Sam |
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| Copyright | Copyright © 2015 International Association for Vegetation Science 2015 International Association for Vegetation Science Distributed under a Creative Commons Attribution 4.0 International License Wageningen University & Research |
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| Keywords | Vegetation continuum Classification system Vegetation-plot database Vegetation type Braun-Blanquet approach Consistent classification section Phytosociology Assignment rule EcoVeg approach |
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| Publisher | Opulus Press Blackwell Publishing Ltd John Wiley & Sons Ltd Wiley Subscription Services, Inc Wiley |
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| SubjectTerms | Alterra - Vegetatie, bos- en landschapsecologie Alterra - Vegetation, forest and landscape ecology Assignment rule biodiversity Biodiversity and Ecology Botanics Braun-Blanquet approach Classification Classification system Consistent classification section EcoVeg approach Environmental Engineering Environmental Sciences guidelines Life Sciences Nature Conservation and Plant Ecology Natuurbeheer en Plantenecologie PE&RC Phytosociology Plant Ecology and Nature Conservation Plantenecologie en Natuurbeheer SYNTHESIS Vegetal Biology Vegetatie, Bos- en Landschapsecologie Vegetation Vegetation continuum Vegetation type vegetation types Vegetation, Forest and Landscape Ecology Vegetation-plot database |
| Title | comparative framework for broad‐scale plot‐based vegetation classification |
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