Dernegimizin de destekleri ile, üyelerimiz Barış UZİLDAY, Mehmet SIKI ve yönetim kurulu üyemiz Fethi BENGİL'in 2007-2008 yılları arasında 9 aylık bir süreyi kapsayan Küçük Menderes Deltası kus türleri ve habitat çeşitlerinin belirlenmesi üzerine yapılan çalışmanin bir çıktısı olarak 20-22 Ekim 2009 tarihlerinde, İzmir Dokuz Eylül Üniversitesi Deniz Bilimleri ve Teknolojisi Enstitüsü'nde düzenlenen "Bütünleşik Kıyı Alani Yönetimi" üzerine uluslararasi çalıştayda bir poster bildirisi sunulmuştur.

Spatial Inventorying of Avifauna for Coastal Zone Management:A case study in Küçük Menderes Delta

Barış UZİLDAY(1,3), Fethi BENGİL(2,3) & Mehmet SIKI(1)

1 Ege University, Science Faculty Biology Department, İzmir, TURKEY

2 Dokuz Eylül University, Institute of Marine Sciences and Technology, İzmir-Turkey.

3 EgeDoga Society, İzmir, TURKEY

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Introduction

Birds have an increasing role in politics, conservation and management. Some species of birds are protected through national and international agreements which result in some area management/conservation categories. Important Bird Area (IBA) and Key Biodiversity Area (KBA) are such management tools for globally or locally important avifauna species. Some of these protected areas are in coastal zones because of their geographical locations. Additionally, a great number of wetlands, which are critically important for global avifauna, are characterized in coastal zones having high biodiversity but also under the pressure of human impacts.

The study focuses on the inventorying of avifauna in coastal wetlands of Küçük Menderes Delta. The area is one of the important  wetlands  in  Turkey  qualifying as an IBA for 2 species and KBA for 13 species. Occurrence and distribution of bird species in Küçük Menderes Delta were surveyed between October 2007-June 2008. Distribution maps for each bird species were prepared. A GIS-based inventory was created for the study area with output of species distribution maps. These maps were superposed to determine the significance of tetrads in delta which contain most species using GIS analyses. Also, GIS mapping was used for classification of main habitats of study area using satellite imagery.