Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Global overview of plot-based vegetation classification approaches
Authors: De Cáceres, M.
Franklin, Scott B.
Hunter, John T.
Landucci, Flavia
Dengler, Jürgen
Roberts, David W.
DOI: 10.1127/phyto/2018/0256
Published in: Phytocoenologia
Volume(Issue): 48
Issue: 2
Page(s): 101
Pages to: 112
Issue Date: Mar-2018
Publisher / Ed. Institution: Bornträger
ISSN: 0340-269X
2363-7153
Language: English
Subjects: Vegetation classification
Subject (DDC): 577: Ecology
580: Plants (Botany)
Abstract: While classification of vegetation can be conducted in many ways, international homogenization of procedures and typologies is desirable for human societies that are highly connected in terms of sharing biodiversity information. This Special Issue of Phytocoenologia includes 12 papers that document several of the plot-based classification approaches currently used throughout the world. The issue includes approaches from five continents, but noticeable gaps are South America, middle-eastern countries, northern Africa and southeastern Asia. We include in this editorial a brief synthesis of the papers included in the Special Issue, with respect to (1) the amount of vegetation-plot data and characteristics of the classification systems developed in different areas and (2) the concepts and procedures of classification approaches. One of the most important common attributes among the classification approaches is the need to define vegetation units at a low level of abstraction. ‘Association’ (and perhaps ‘alliance’ too) may be a classification level for which international homogenization of procedures would be most easy to achieve, perhaps establishing different consistent classification sections depending on ecological conditions. Several papers in this issue demonstrate that multiple approaches may coexist for higher levels, as long as they abstract vegetation from the same low level units by focusing on a specific set of concepts and defined from the perspective of applications.
URI: https://digitalcollection.zhaw.ch/handle/11475/2620
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Natural Resource Sciences (IUNR)
Appears in collections:Publikationen Life Sciences und Facility Management

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De Cáceres, M., Franklin, S. B., Hunter, J. T., Landucci, F., Dengler, J., & Roberts, D. W. (2018). Global overview of plot-based vegetation classification approaches. Phytocoenologia, 48(2), 101–112. https://doi.org/10.1127/phyto/2018/0256
De Cáceres, M. et al. (2018) ‘Global overview of plot-based vegetation classification approaches’, Phytocoenologia, 48(2), pp. 101–112. Available at: https://doi.org/10.1127/phyto/2018/0256.
M. De Cáceres, S. B. Franklin, J. T. Hunter, F. Landucci, J. Dengler, and D. W. Roberts, “Global overview of plot-based vegetation classification approaches,” Phytocoenologia, vol. 48, no. 2, pp. 101–112, Mar. 2018, doi: 10.1127/phyto/2018/0256.
DE CÁCERES, M., Scott B. FRANKLIN, John T. HUNTER, Flavia LANDUCCI, Jürgen DENGLER und David W. ROBERTS, 2018. Global overview of plot-based vegetation classification approaches. Phytocoenologia. März 2018. Bd. 48, Nr. 2, S. 101–112. DOI 10.1127/phyto/2018/0256
De Cáceres, M., Scott B. Franklin, John T. Hunter, Flavia Landucci, Jürgen Dengler, and David W. Roberts. 2018. “Global Overview of Plot-Based Vegetation Classification Approaches.” Phytocoenologia 48 (2): 101–12. https://doi.org/10.1127/phyto/2018/0256.
De Cáceres, M., et al. “Global Overview of Plot-Based Vegetation Classification Approaches.” Phytocoenologia, vol. 48, no. 2, Mar. 2018, pp. 101–12, https://doi.org/10.1127/phyto/2018/0256.


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