communities and ecological differentiation
the Mt. elmacik (Duzce, Turkey)
Aksoy1* and S. Coban2
Forestry, Botany and DUOF Herbarium, Faculty of Forestry, Duzce University,
Duzce, 81620, Turkey
Silviculture, Faculty of Forestry, Istanbul University, Bahcekoy, Istanbul,
Author E-mail: email@example.com
Paper received :
20.08.2016 Revised received :
15.06.2017 Accepted : 26.06.2017
Aim: This research is
based on vegetation elaboration of Elmacik Mountain in the Western Black Sea
Region of Turkey, which has a quite rich floristic and vegetation diversity.
varied ecological conditions cause a diverse vegetation in the region,
vegetation-environment relation was analyzed with multivariate statistical
techniques. In the context of the study, syntaxonomical scheme of the region
was introduced and ecological characteristics of the main forest types and
vegetation data were analyzed using environmental variables and Ellenberg
Indicator Values (EIVs) derived from species composition.
forest vegetation was presented by 2 classes and 2 orders which contained 4
alliances and 11 associations. Constrained ordination revealed that the
altitude is the most important factor affecting species composition (23.1 %),
followed by soil depth (19.1 %). However, when conditional effects of
variables are considered, forest cover (16.7 %) had the highest contribution
following altitude (23.1 %). Hyperico calycini-Quercetum petraea had
the highest species diversity because of one-storied and light penetrating
leaf structure. However, Rhododenro pontici-Fagetum orientalis
had the lowest species diversity due to a dense shrub cover consisting of Rhododendron
ponticum. Average EIVs for continentality, soil nutrient and light were
positively correlated with altitude and nutrient EIVs with soil depth, stand
height and cover. Radiation index calculated from latitude, slope degree and
aspect showed correlation with light and continentality EIVs.
distribution of forest communities was mainly affected by exposure and soil
conditions (soil depth, soil type) in the region. Species variation in each
unit was well explained with the average EIVs, which were also supported with
the measured environmental variables.
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