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 a Milan CHYTRÝ. Classification of European oak-hornbeam forests and related vegetation types. Applied Vegetation Science. Hoboken: Wiley, 2023, roč. 26, č. 1, s. 1-25. ISSN 1402-2001. Dostupné z: https://dx.doi.org/10.1111/avsc.12712.
Další formáty:   BibTeX LaTeX RIS
Základní údaje
Originální název Classification of European oak-hornbeam forests and related vegetation types
Autoři NOVÁK, Pavel (203 Česká republika, garant, domácí), 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 Česká republika, domácí) a Milan CHYTRÝ (203 Česká republika, domácí).
Vydání Applied Vegetation Science, Hoboken, Wiley, 2023, 1402-2001.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 10611 Plant sciences, botany
Stát vydavatele Spojené státy
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 2.800 v roce 2022
Kód RIV RIV/00216224:14310/23:00134093
Organizační jednotka Přírodovědecká fakulta
Doi http://dx.doi.org/10.1111/avsc.12712
UT WoS 000946286800001
Klíčová slova anglicky biogeography; Carpinetalia betuli; Europe; expert system; habitat; oak-hornbeam forest; phytosociology; syntaxonomy; vegetation classification; vegetation-plot database
Štítky rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Marie Šípková, DiS., učo 437722. Změněno: 20. 6. 2023 15:57.
Anotace
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.
Návaznosti
GX19-28491X, projekt VaVNázev: Centrum pro evropské vegetační syntézy (CEVS) (Akronym: CEVS)
Investor: Grantová agentura ČR, Centrum pro evropské vegetační syntézy (CEVS)
VytisknoutZobrazeno: 30. 4. 2024 19:12