Mevlüt GÜRLEK, Cemal TURAN, Nuri BAŞUSTA, Funda TURAN, Deniz ERGÜDEN

Morphometric structuring of the anchocy (Engraulis encrasicolus L.) in the Black, Aegean and Northeastern Mediterranean Seas

Truss Network Sistemi ile morfometrik karakterler kullanarak Türkiye karasularında bulunan hamsi populasyonlarının durumu ilk olarak incelenmiştir. Örnekler Orta (Sinop) ve Doğu (Trabzon) Karadeniz, Ege Denizi (İzmir), Kuzeydoğu Akdeniz (İskenderun) gibi her bir denizin ana balıkçılık alanı limanlarımızdan toplanmıştır. Kümelerarası Korelasyon Analizi'nde, birinci ve ikinci varyasyonların kümeleştirilmesi sonucu gruplar arasındaki varyasyonun % 93'ü kullanıldığında örnekler arasında yüksek derecede farklılığın olduğu gözlenmiştir. Buna göre her bir denizdeki hamsi populasyonları arasında morfometrik yapılaşmanın varlığı tespit edilmiştir (P < 0,001). Morfometrik karakterler bakımından, balıkların kendi orijinal grubuna doğru olarak sınıflandırılması, % 80 olarak yüksek bulunmuştur. Çok Değişkenli Varyans Analizi ile dört örneğin toplam 25 morfometrik karakterinin 16'sı arasında istatiksel olarak önemli derecede farklılıkların olduğu bulunmuştur. Ana Bileşenler Analizi ise, populasyonlar arasında gözlenen farklılıkların genelde baş bölgesinden olduğunu göstermiştir.

Karadeniz, Ege ve Kuzeydoğu Akdeniz hamsi (Engraulis encrasicolus L.) populasyonlarının morfometrik yapılanması

The status of populations of anchovies in Turkish terrestrial waters was preliminarily investigated using morphometric characters with the truss network system. Samples were .taken from the main fishing areas of each sea, comprising the central (Sinop) and eastern (Trabzon) Black Sea, the Aegean Sea (İzmir) and the eastern Mediterranean (İskenderun). Plotting discriminant functions 1 and 2, explaining 93% of between-group variability, revealed a high degree of dissimilarity among the anchovy samples, indicating that the anchovies in each sea represent different aggregations. The overall random assignment of individuals into their original group was high (80%). Pain/vise comparisons using multivariate analysis of variance (MANOVA) showed highly significant differences between all the samples (P < 0.001). Univariate analysis of variance (ANOVA) revealed significant differences with varying degrees between the means of the 4 samples for 16 out of 25 standardized morphometric measurements. Principal components analysis (PCA) indicated that the observed differences were mainly from the measurements taken from the head.

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