A time series dataset of coastal fish community following a cold intrusion event in the Penghu Islands, Taiwan

Understanding variation of a community help establish useful mechanisms to mitigate the impacts of a disturbance. In late January and February 2008, there was a high mortality of fishes in the seas surrounding the coasts of the Penghu Islands in Taiwan due to an extreme low seawater temperature event. Here, we describe a time series dataset of fish communities at eight sampling stations along the coasts of the Penghu Islands using underwater diving visual censuses for seven years after the 2008 event. In total, 62 samples containing 24,278 individuals belonging to 277 species were recorded in the surveys. These data can provide information to ecologists and fisheries managers about how cold intrusion affected marine fishes and how much time the recovery of fishery resources is needed.<br>解析群落动态变化，有助于构建有效的干预机制以减轻扰动事件带来的负面影响。2008年1月末至2月，中国台湾澎湖群岛周边海域因极端低温海水事件发生大规模鱼类死亡。本研究针对该事件发生后的7年时间，采用水下潜水目视调查法，对澎湖群岛沿岸8个采样站位的鱼类群落进行监测，由此构建了一套时间序列数据集。本次调查共记录有效样本62份，涉及鱼类24278尾，隶属277个物种。该数据集可为生态学家与渔业管理者提供关键参考，以明晰冷水入侵对海洋鱼类的影响机制，以及渔业资源恢复所需的时间周期。