New Record of the Big-Scale Sand Smelt Atherina boyeri Risso, 1810 (Atherinidae) in the Seyhan Dam Reservoir (Seyhan River basin, Turkey)
Journal Title: Natural and Engineering Sciences - Year 2018, Vol 3, Issue 2
Abstract
Fifteen specimens of the big-scale sand smelt, Atherina boyeri were caught by a single trawl haul with a net mesh size of 3 mm on February 2017 from the Seyhan Dam Reservoir (South Anatolia, Adana/Turkey). In this study the big-scale sand smelt, A. boyeri, was recorded for the first time in the Seyhan Dam Reservoir. In addition, some morphometric and meristic measurements of A. boyeri were given and these values were compared to populations in two different lakes. Furthermore, the possible ecological effects of A. boyeri on Seyhan Dam Reservoir were briefly discussed
Authors and Affiliations
Cem Çevik, Sedat Gündoğdu, Sibel Alagöz Ergüden
Otolith biometry of Serranus scriba (Linnaeus, 1758) from the Southern Aegean Sea
Otoliths are widely used in stomach content analysis in fisheries biology, other than age determination or ichthyo-archeological studies, because they have species specific morphological features. It is possible determin...
New Voltage-Mode All-pass Filter Topology Employing Single Current Operational Amplifier
In this paper, a new voltage-mode all-pass filter topology based on single current operational amplifier (COA) and the implementation of COA by using current conveyors are presented. The proposed topology employs three a...
Climate Change and Biodiversity Effects in Turkish Seas
Sea temperature change in the Mediterranean, Marmara and Black Sea coasts of Turkey and its possible biodiversity effects are investigated. The surface sea water temperatures of the Mediterranean, Marmara and Black Sea r...
Seasonal Variation in the Length-Weight Relationships and Condition Factor of Four Commercially Important Sea Cucumbers Species from Karachi Coast- Northern Arabian Sea
Length-weight relationships and condition assessment are a common practice in fisheries analyses; however, such information is unknown for most sea cucumber species. The present study investigated length-weight relations...
Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis
Deep Learning (DL) is a two-step classification model that consists feature learning, generating feature representations using unsupervised ways and the supervised learning stage at the last step of model using at least...