2023
Classification of forest and shrubland vegetation in central and eastern Euxine Turkey and SW Georgia
KAVGACI, Ali, Mustafa KARAKOSE, Emine Seda KELES, Neslihan BALPINAR, Munevver ARSLAN et. al.Základní údaje
Originální název
Classification of forest and shrubland vegetation in central and eastern Euxine Turkey and SW Georgia
Autoři
KAVGACI, Ali (garant), Mustafa KARAKOSE, Emine Seda KELES, Neslihan BALPINAR, Munevver ARSLAN, Erkan YALCIN, Pavel NOVÁK (203 Česká republika, domácí) a Andraz CARNI
Vydání
Applied Vegetation Science, HOBOKEN, Wiley-Blackwell, 2023, 1402-2001
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10611 Plant sciences, botany
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.800 v roce 2022
Kód RIV
RIV/00216224:14310/23:00134369
Organizační jednotka
Přírodovědecká fakulta
UT WoS
001122107300001
Klíčová slova anglicky
Black Sea; Colchis; coniferous forest; deciduous forest; Euro-Siberian; Euxine; Georgia; numerical analysis; plant community; shrubland; Turkey; vegetation type; vegetation-plot database
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 13. 1. 2024 12:04, Mgr. Lucie Jarošová, DiS.
Anotace
V originále
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.
Návaznosti
| GX19-28491X, projekt VaV |
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