Appl Veg Sci. 2019;00:1–16. wileyonlinelibrary.com/journal/avsc
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Applied Vegetation Science
© 2019 International Association
for Vegetation Science
Received: 25 April 2019
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Revised: 29 July 2019
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Accepted: 12 August 2019
DOI: 10.1111/avsc.12456
RESEARCH ARTICLE
A formal classification of the Lygeum spartum vegetation of the
Mediterranean Region
Corrado Marcenò
1
| Riccardo Guarino
2
| Ladislav Mucina
3,4
| Idoia Biurrun
1
|
Ulrich Deil
5
| Kamal Shaltout
6
| Manfred Finckh
7
| Xavier Font
8
| Javier Loidi
1
1
Department of Plant Biology and
Ecology, University of the Basque Country
UPV/EHU, Bilbao, Spain
2
Department of Biological, Chemical
and Pharmaceutical Sciences, and
Technologies, University of Palermo,
Palermo, Italy
3
Harry Butler Institute, Murdoch University
Murdoch, Perth, WA, Australia
4
Department of Geography and
Environmental Studies, Stellenbosch
University, Stellenbosch, South Africa
5
Department of Geobotany, Faculty of
Biology, University of Freiburg, Freiburg im
Breisgau, Germany
6
Faculty of Science, Tanta University, Tanta,
Egypt
7
Biodiversity, Ecology and Evolution of
Plants, Institute for Plant Science and
Microbiology, University of Hamburg,
Hamburg, Germany
8
Plant Biodiversity Resource
Centre, University of Barcelona, Barcelona,
Spain
Correspondence
Corrado Marcenò, Department of Plant
Biology and Ecology, University of the
Basque Country UPV/EHU, Bilbao, 48080,
Spain.
Email: marcenocorrado@libero.it
Funding information
CM, IB and JL were funded by the Basque
Government (IT936‐16).
Co‐ordinating Editor: Florian Jansen
Abstract
Aims: We examined all available literature and some unpublished data on the We
examined all available literature and some unpublished data on the grasslands domi‐
nated by Lygeum spartum from Southern Europe and North Africa to produce a for‐
malised classification of this vegetation and to identify the main factors determining
its plant species composition.
Location: Mediterranean Basin and Iberian Peninsula.
Methods: We used a dataset of 728 relevés, which were resampled to reduce unbal‐
anced sampling effort, resulting in a dataset of 568 relevés and 846 taxa. We classified
the plots by TWINSPAN, interpreted the resulting pools, and used them to develop
formal definitions of phytosociological alliances characterised by L. spartum vegetation.
The definitions were included in an expert system to assist automatic vegetation classi‐
fication. We related the alliances to climatic factors and described their biogeographical
features and ecological preferences. The floristic relationships between these alliances
were analysed and visualised using distance‐based redundancy analysis.
Results: We defined eleven alliances of L. spartum vegetation, including the newly
described Launaeo laniferae–Lygeion sparti from SW Morocco and the Noaeo mucro‐
natae–Lygeion sparti from the Algerian highlands and NE Morocco. Biogeographical,
climatic, and edaphic factors were revealed as putatively driving the differentiation
between the alliances. Vegetations of clayey slopes and inland salt basins displayed
higher variability in comparison with those of coastal salt marshes.
Main conclusions: A comprehensive formal classification, accompanied by an ex‐
pert system, of the grasslands from Southern Europe and North Africa dominated
by Lygeum spartum vegetation was formulated. Eleven phytosociological alliances
were recognised, whose plant species composition is influenced by biogeographic,
climatic, and edaphic drivers. The expert system, containing formal definitions of
the phytosociological alliances, will assist in identifying the syntaxonomic position
of new datasets.
KEYWORDS
badlands, dry grassland, expert system, Lygeo‐Stipetea, Lygeum spartum, Mediterranean
region, Phytosociology, Salicornietea fruticosae, salt marsh, vegetation classification