TY - JOUR
T1 - Classification of European oak–hornbeam forests and related vegetation types
AU - Novák, Pavel
AU - Willner, Wolfgang
AU - Biurrun, Idoia
AU - Gholizadeh, Hamid
AU - Heinken, Thilo
AU - Jandt, Ute
AU - Kollár, Jozef
AU - Kozhevnikova, Maria
AU - Naqinezhad, Alireza
AU - Onyshchenko, Viktor
AU - Pielech, Remigiusz
AU - Rašomavičius, Valerijus
AU - Shirokikh, Pavel
AU - Vassilev, Kiril
AU - Wohlgemuth, Thomas
AU - Večeřa, Martin
AU - Chytrý, Milan
N1 - Publisher Copyright:
© 2023 The Authors. Applied Vegetation Science published by John Wiley & Sons Ltd on behalf of International Association for Vegetation Science.
PY - 2023/2/3
Y1 - 2023/2/3
N2 - Aims: Oak–hornbeam forests and related vegetation types (phytosociological order Carpinetalia betuli) are widespread in temperate western Eurasia. However, their national classification systems are poorly compatible, and a broad-scale classification based on numerical analyses is lacking. Therefore, we aimed to establish a unified formalized classification system based on a large data set of vegetation plots covering the entire range of these forests. Location: Europe, Anatolia, Caucasus and northern Iran. Methods: We compiled a data set of 15,817 vegetation plots from the European Vegetation Archive and the Hyrcanian Forest Vegetation Database, using the formal definition of the EUNIS habitat type T1E Carpinus and Quercus mesic deciduous forest. We classified the data set using TWINSPAN. Biogeographically and ecologically similar plot clusters were merged into oak–hornbeam forest types, which were interpreted as alliances. We also developed expert systems for automatically classifying vegetation at the alliance level for both the EuroVegChecklist (EVC) system and the revised classification. In addition, we calculated ordinations to show the major gradients in the species composition of the data set. Results: We present a revised classification system of the order Carpinetalia betuli with nine alliances, including basic descriptions of their species composition, distribution, ecology and syntaxonomy. The analyses largely supported the biogeographic concept of classification, analogous to EVC. Compared to EVC, we recognized an additional alliance Physospermo verticillati-Quercion cerridis (southern Italy) but found no support for the alliances Astrantio-Carpinion, Erythronio-Carpinion and Scillo-Quercion. The greatest difference in species composition was found between the southern and northern-northeastern Carpinetalia types. Expert systems for the revised classification system (~89% of plots classified) and the EVC system (~72%) are also included. Conclusions: We provide the first comprehensive overview of alliances of the order Carpinetalia betuli across its whole distribution range. The associated expert systems allow consistent application of the classification of these forests in nature conservation, habitat monitoring, and biodiversity and ecological research.
AB - Aims: Oak–hornbeam forests and related vegetation types (phytosociological order Carpinetalia betuli) are widespread in temperate western Eurasia. However, their national classification systems are poorly compatible, and a broad-scale classification based on numerical analyses is lacking. Therefore, we aimed to establish a unified formalized classification system based on a large data set of vegetation plots covering the entire range of these forests. Location: Europe, Anatolia, Caucasus and northern Iran. Methods: We compiled a data set of 15,817 vegetation plots from the European Vegetation Archive and the Hyrcanian Forest Vegetation Database, using the formal definition of the EUNIS habitat type T1E Carpinus and Quercus mesic deciduous forest. We classified the data set using TWINSPAN. Biogeographically and ecologically similar plot clusters were merged into oak–hornbeam forest types, which were interpreted as alliances. We also developed expert systems for automatically classifying vegetation at the alliance level for both the EuroVegChecklist (EVC) system and the revised classification. In addition, we calculated ordinations to show the major gradients in the species composition of the data set. Results: We present a revised classification system of the order Carpinetalia betuli with nine alliances, including basic descriptions of their species composition, distribution, ecology and syntaxonomy. The analyses largely supported the biogeographic concept of classification, analogous to EVC. Compared to EVC, we recognized an additional alliance Physospermo verticillati-Quercion cerridis (southern Italy) but found no support for the alliances Astrantio-Carpinion, Erythronio-Carpinion and Scillo-Quercion. The greatest difference in species composition was found between the southern and northern-northeastern Carpinetalia types. Expert systems for the revised classification system (~89% of plots classified) and the EVC system (~72%) are also included. Conclusions: We provide the first comprehensive overview of alliances of the order Carpinetalia betuli across its whole distribution range. The associated expert systems allow consistent application of the classification of these forests in nature conservation, habitat monitoring, and biodiversity and ecological research.
KW - biogeography
KW - Carpinetalia betuli
KW - Europe
KW - expert system
KW - habitat
KW - oak–hornbeam forest
KW - phytosociology
KW - syntaxonomy
KW - vegetation classification
KW - vegetation-plot database
UR - http://www.scopus.com/inward/record.url?scp=85152658471&partnerID=8YFLogxK
U2 - 10.1111/avsc.12712
DO - 10.1111/avsc.12712
M3 - Article
AN - SCOPUS:85152658471
SN - 1402-2001
VL - 26
JO - Applied Vegetation Science
JF - Applied Vegetation Science
IS - 1
M1 - e12712
ER -