KAVGACI, Ali, Mustafa KARAKOSE, Emine Seda KELES, Neslihan BALPINAR, Munevver ARSLAN, Erkan YALCIN, Pavel NOVÁK and Andraz CARNI. Classification of forest and shrubland vegetation in central and eastern Euxine Turkey and SW Georgia. Applied Vegetation Science. HOBOKEN: Wiley-Blackwell, 2023, vol. 26, No 4, p. "e12753", 30 pp. ISSN 1402-2001. Available from: https://dx.doi.org/10.1111/avsc.12753.
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Basic information
Original name Classification of forest and shrubland vegetation in central and eastern Euxine Turkey and SW Georgia
Authors KAVGACI, Ali (guarantor), Mustafa KARAKOSE, Emine Seda KELES, Neslihan BALPINAR, Munevver ARSLAN, Erkan YALCIN, Pavel NOVÁK (203 Czech Republic, belonging to the institution) and Andraz CARNI.
Edition Applied Vegetation Science, HOBOKEN, Wiley-Blackwell, 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/00216224:14310/23:00134369
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1111/avsc.12753
UT WoS 001122107300001
Keywords in English Black Sea; Colchis; coniferous forest; deciduous forest; Euro-Siberian; Euxine; Georgia; numerical analysis; plant community; shrubland; Turkey; vegetation type; vegetation-plot database
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Lucie Jarošová, DiS., učo 205746. Changed: 13/1/2024 12:04.
Abstract
Questions What are the main vegetation types of forest and shrubland vegetation in central and eastern Euxine Turkey and SW Georgia? What are the main environmental factors affecting their diversity? What is their syntaxonomic position? Can we integrate them into the European vegetation classification system?Location Central and eastern Euxine Turkey and SW Georgia.Methods We collected 3104 vegetation plots of forest and shrubland vegetation in the study region and performed Two-Way Indicator Species Analysis (TWINSPAN) classification. We described vegetation types based on the classification results, expert knowledge and information from literature sources. We defined diagnostic species and prepared distribution maps for each vegetation type. To determine the most significant environmental variables on floristic differentiation, we used canonical correspondence analysis. Detrended correspondence analysis with passive projection of most significant environmental variables was run to interpret the environmental variation of vegetation types.Results The studied vegetation was divided into 29 vegetation types related to seven main vegetation groups: relict Mediterranean forests and shrubland (mainly along the coastline, beside some inland localities), lowland to submontane forests, central Euxine mountain forests, eastern Euxine (Colchic) mountain forests, subeuxine forests, azonal riparian forests and subalpine and alpine shrubland. Elevation is the most important factor causing the differentiation in vegetation. It is followed by longitude and latitude. Among climatic variables, temperature seasonality, annual precipitation and precipitation of the wettest quarter are the most significant factors for vegetation differentiation. These factors correlate with the reduction of maritime climate and geomorphological features.Conclusions Vegetation types mostly correspond to the syntaxa accepted in the EuroVegChecklist. However, some of them do not appear in the EuroVegChecklist since they appear only beyond Europe. We described three syntaxa as new: Abietion equi-trojani, Querco cerridis-Carpinion orientalis and Piceo orientalis-Fagenion orientalis. The study revealed high vegetation diversity of the region that should be taken into consideration in ecosystem management and used as a reference in restoration and mitigation of the effects of global changes.
Links
GX19-28491X, research and development projectName: Centrum pro evropské vegetační syntézy (CEVS) (Acronym: CEVS)
Investor: Czech Science Foundation
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