NOVÁK, Pavel, Wolfgang WILLNER, Idoia BIURRUN, Hamid GHOLIZADEH, Thilo HEINKEN, Ute JANDT, Jozef KOLLÁR, Maria KOZHEVNIKOVA, Alireza NAQINEZHAD, Viktor ONYSHCHENKO, Remigiusz PIELECH, Valerijus RAŠOMAVIČIUS, Pavel SHIROKIKH, Kiril VASSILEV, Thomas WOHLGEMUTH, Martin VEČEŘA and Milan CHYTRÝ. Classification of European oak-hornbeam forests and related vegetation types. Applied Vegetation Science. Hoboken: Wiley, 2023, vol. 26, No 1, p. 1-25. ISSN 1402-2001. Available from: https://dx.doi.org/10.1111/avsc.12712.
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Basic information
Original name Classification of European oak-hornbeam forests and related vegetation types
Authors NOVÁK, Pavel (203 Czech Republic, guarantor, belonging to the institution), Wolfgang WILLNER, Idoia BIURRUN, Hamid GHOLIZADEH, Thilo HEINKEN, Ute JANDT, Jozef KOLLÁR, Maria KOZHEVNIKOVA, Alireza NAQINEZHAD, Viktor ONYSHCHENKO, Remigiusz PIELECH, Valerijus RAŠOMAVIČIUS, Pavel SHIROKIKH, Kiril VASSILEV, Thomas WOHLGEMUTH, Martin VEČEŘA (203 Czech Republic, belonging to the institution) and Milan CHYTRÝ (203 Czech Republic, belonging to the institution).
Edition Applied Vegetation Science, Hoboken, Wiley, 2023, 1402-2001.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10611 Plant sciences, botany
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.800 in 2022
RIV identification code RIV/00216224:14310/23:00134093
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1111/avsc.12712
UT WoS 000946286800001
Keywords in English biogeography; Carpinetalia betuli; Europe; expert system; habitat; oak-hornbeam forest; phytosociology; syntaxonomy; vegetation classification; vegetation-plot database
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 20/6/2023 15:57.
Abstract
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 (similar to 89% of plots classified) and the EVC system (similar to 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.
Links
GX19-28491X, research and development projectName: Centrum pro evropské vegetační syntézy (CEVS) (Acronym: CEVS)
Investor: Czech Science Foundation
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