Vegetation Classification and Survey (VCS) is an international, peer-reviewed, online journal on plant community ecology published on behalf of the International Association for Vegetation Science (IAVS) together with its sister journals, Journal of Vegetation Science (JVS) and Applied Vegetation Science (AVS). It is devoted to vegetation survey and classification at any organizational and spatial scale and without restriction to certain methodological approaches.

The journal publishes original papers that develop new vegetation typologies as well as applied studies that use such typologies, for example, in vegetation mapping, ecosystem modelling, nature conservation, land use management or monitoring. Particularly encouraged are methodological studies that design and compare tools for vegetation classification and mapping, such as algorithms, databases and nomenclatural principles. Papers dealing with conceptual and theoretical bases of vegetation survey and classification are also welcome. While large-scale studies are preferred, regional studies will be considered when filling important knowledge gaps or presenting new methods. VCS also contains permanent sections on "Ecoinformatics" and "Phytosociological Nomenclature".

The journal is published online only.

Thanks to the generous support by IAVS, contributions first-authored by an IAVS member are exempt from article processing charges (APCs) until further notice (unless the authors have special funding for APCs from their project, university or country).

Scopus CiteScore 2022: 2.0
Q Values
Q2:
Agricultural and Biological Sciences
Q3:
Plant Science
Q3:
Ecology, Evolution, Behavior and Systematics
CiteScoreTracker 2023: 2.4 (updated monthly)
SNIP: 0.647
NEWS
Publication types:

Research Paper, Review and Synthesis, VCS Methods, Forum Paper, Report, Editorial, Long Database Report, Short Database Report, Nomenclatural Proposal, CCCN Report, Short Communication, Corrigendum

ISSN 2683-0671 (online)
Powered by

This website uses cookies in order to improve your web experience. Read our Cookies Policy

OK