Characterization of Fish Assemblages and Standard Length Distributions among Different Sampling Gears Using an Artificial Neural Network

Several sampling gears are used to collect fish in the lentic ecosystem. The collected differ their characteristics and community structure depending on gear. objectives of this study were 1) compare assemblages sampled using four (kick net, cast gill fyke net) Singal (SG), Yedang (YD), Juam (JA) reservoirs, 2) understand fishes by each A total 1887 individuals 14 species, 9113 15 9294 27 species collected, respectively, from SG, YD, JA reservoirs. Among tested, net largest numbers individuals, while collections had highest diversity index. results obtained with self-organizing map (SOM) provided a more detailed characterization than metrics that typically evaluate gears. In particular, SOM analysis showed similar pattern standard length Since gear has unique characteristics, selection an appropriate should be based features sites.