Phytosociological and ecological structure of Mediterranean enclaves
along the
stream valleys in inner parts of black sea region
Fergan Karaer1, Mahmut Kilinc2, Hasan
Korkmaz2, Hamdi Guray Kutbay*2, Erkan
Yalcin2 and Ali Bilgin3
1Department of Biology, Faculty of Arts and Sciences, Amasya University,? Amasya -
05100, Turkey
2Department of Biology, Faculty of Arts and Sciences, University of Ondokuz Mayis,
55139, Kurupelit-Samsun,
Turkey
3Department of Biology,Faculty
of Arts and Sciences, Rize
University,? 53100, Rize, Turkey
(Received: April 25, 2009; Revised
received: June
09, 2009; Accepted: September 05, 2009)
Abstract: In this study, phytosociological
structure of Mediterranean enclaves which occured
along the stream valleys in inner parts of Black sea
region was investigated. Pinus brutia
var. brutia and Quercus coccifera are the most widespread communities in the study
area. Pinus pinea, Arbutus andrachne, Arbutus unedo, Fontanesia philliraeoides subsp. philliraeoides and Olea europaea L. var. sylvestris have a restricted distribution in inner parts of
Black sea region as compared to P. brutia and Q. coccifera. The
following associations were described in the study area. Siderito dichotomae
-Quercetum cocciferae, Spiraeo crenatae-Oleetum sylvestris ass. nov., Cotino
coggyreae-Arbutetum andrachnes,
Buxo sempervirenti-Arbutetum
unedonis ass. nov., Paliuro
spinae-christi- Fontanesietum
philliraeoidis, Querco infectoriae-Pinetum brutiae and Crucianello ponticae-Pinetum pinae. The highest species diversity was found in Crucienello ponticae-Pinetum pinae, while the lowest species diversity was found in Spiraeo crenatae-Oleetum sylvestris. Evenness values were much similar to each other
among all of the associations. According to CA Paliurus spinae-christi-Fontanesietum
philliraeoidis, Spiraeo crenatae-Oleetum sylvestris and Crucienello ponticae-Pinetum pinae occured in the negative
zone. The other four associations occured in the positive zone.
Key
words: Black sea region, Enclaves, Maquis vegetation,
Mediterranean climate, Numerical methods, Stream valleys
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