This paper focuses on sea surface temperature (SST) trends due to the importance of temperature difference in climate change impact research. These trends are not only essential for climate, but they are also important for marine ecosystem. Immigration of fish population due to the temperature changes is expected to cause unexpected economical results. For this purpose, both classical Mann–Kendall, (MK) (Mann in Econom: J Econom Soc 13:245–259, 1945; Kendall in Rank Correlation Methods, Charless Griffin, London, 1975) and innovative trend analysis (ITA) (Şen in J Hydrol Eng 17(9):1042–1046, 2012) methodologies are applied for the SST data records. Monthly SST data are considered along the Black, Marmara, Aegean, and Mediterranean coastal areas in Turkey. SST data are categorized into five clusters considering fish life as “hot,” “warm-hot,” “warm,” “cold,” and “very cold.” According to ITA, SST in all coastal areas tends to increase except for winter season during “very cold” (0–10 °C) temperatures. The temperature changes in both winter and summer seasons are expected to change the marine life, fish population, tourism habit, precipitation regime, and drought feature.

由于温度差异在气候变化影响研究中的重要性，本文着重研究海表温度（SST）趋势。这些趋势不仅对气候至关重要，而且对海洋生态系统也很重要。由于温度变化而导致的鱼类种群移徙有望带来意想不到的经济效益。为此，经典的曼恩·肯德尔（MK）（曼恩在《经济学人》杂志：J Econom Soc 13：245–259，1945年；《秩相关方法中的肯德尔》，查尔斯·格里芬，伦敦，1975年）和创新趋势分析（ITA）（参见J Hydrol Eng 17（9）：1042-1046，2012）方法中的SST数据记录。考虑了土耳其的布莱克，马尔马拉，爱琴海和地中海沿岸地区的每月SST数据。SST数据分为五个类别，将鱼类生活视为“炎热”，“温暖”，“温暖，”“冷”和“非常冷”。据ITA称，除“非常寒冷”（0–10°C）温度的冬季外，所有沿海地区的SST都有增加的趋势。冬季和夏季的温度变化预计会改变海洋生物，鱼类种群，旅游习性，降水状况和干旱特征。