Güney Karadeniz'in Samsun kıyı sularında mesozooplankton faunasının bolluk ve dağılımına etki eden ekolojik faktörlerin ekometrik yönden incelenmesi (Türkiye)

Karadeniz'in Samsun Kıyı Bölgesi mesozooplankton faunası Nisan 2012- Mart 2013 tarihleri arasında incelenmiştir. Belirlenen 4 istasyondan aylık olarak alınan su örneklerinde mesozooplankton faunasının tür kompozisyonu, bolluğu, dağılımı ve bunlara etki eden fiziko-kimyasal faktörler belirlenmiştir. Mesozooplankton bolluk verilerinden Bray-Curtis benzerlik matrisi oluşturulmuş ve örnek gruplarına birleştirici hiyerarşik kümeleme analizi, çok boyutlu ölçeklendirme analizi, benzerlik analizi (ANOSIM), benzersizlik analizi (SIMPER) uygulanmıştır. Ayrıca gruplar arasındaki farklılıklardan sorumlu ve kommüniteyi yönlendiren türlerin çevresel değişkenler ile ilişkisinin incelemek amacıylada kanonik uyum analizi (CCA) uygulanmıştır. Araştırmamızda holoplankton faunasında toplam 16 tür ve meroplanktonik organizmalar tespit edilmiştir. Mesozooplankton bolluk verilerinden elde edilen benzerlik matrisinin birleştirici hiyerarşik kümeleme analizi sonucu %64 benzerlik seviyesinde üç grup belirlenmiştir. Örnek grupları arasında benzerlik (ANOSIM), benzersizlik analizi (SIMPER) ve tür bollukları ile çevresel parametreler arasında yapılan CCA analizi sonuçlarına göre türlerin dağılımına sıcaklık, tuzluluk, NH4-N, seki disk derinliği ve pH etkili olmuştur.

Ecometric investigation of mesozooplankton abundance, distribution and its affecting ecological factors in Samsun coastal waters of Southern Black Sea (Türkiye)

The mesozooplankton fauna in Samsun coastal region of the Black Sea was investigated between April 2012 - March 2013. Species composition, abundance and biomass values of the mesozooplankton fauna and physichochemical factors that are exerting influence on these, were determined in the samples which were monthly collected at four stations. A Bray-Curtis similarity matrix was created from the mesozooplankton abundance data and agglomerative hierrarchical cluster analysis, multi dimensional scaling, analysis of similarity variance between the factor groups (ANOSIM), similartiy percentages (SIMPER) were applied on the similarity matrix. Canonical correspondence analysis (CCA) was also applied in order to investigate the relationship between environmental variables and community configuring species which are responsible from the dissimilarities among sample groups. A total of 16 species were identified in holoplankton fauna and meroplanktonic organisms were determined. Three sample groups at the similarity levels of %64 were determined as a result of the agglomerative hierrarchical cluster analysis on the similarity matrix which was obtained from the mesozooplankton abundance data. According to the results of the CCA, similarities between sample groups (ANOSIM) and dissimilarities (SIMPER) those applied for species abundances and environmental parameters, temperature, salinity, NH4-N, Secchi Disc Depth and pH had significant effects on the distribution of species.

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