Xu Min, Ling Jianzhong, Zheng Haisu, Song Xiaojing, Liu Zunlei, Li Huiyu
Key Laboratory of Fisheries Remote Sensing Ministry of Agriculture and Rural Affairs, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China.
Shanghai Aquatic Wildlife Conservation and Research Center, Shanghai 200080, China.
Biology (Basel). 2025 Jul 28;14(8):947. doi: 10.3390/biology14080947.
In the past two decades, little information has been updated to understand the resource status of the crab species in the East China Sea Region. In this study, we conducted surveys in 2018 and 2019 to identify the seasonal spatial distribution patterns of the economically important sand crab (De Haan 1833) in the southern Yellow and East China Seas. In the study area, the largest biomass of crabs was observed in the fishing grounds of Dasha and the Yangtze River mouth, and the second largest biomass was detected in the Jiangwai-Zhouwai area. Seasonally, the total biomass order in these areas was summer > autumn & winter > spring, and the mean average individual weight order was spring & summer > winter > autumn. These findings provided maps of the seasonal spatial distribution pattern of the species across seasons, which were then used in climate-change scenario models. Model predictions suggested that might migrate northward and offshore under climate warming conditions, and that the climate scenario SSP585-2100 might be the most negative case, respectively, for the habitat area of gain% minus loss%. These data can be used to develop robust and systematic regional fisheries resource management policies that consider adaptation measures to address the impact of environmental and climate change along China's coasts and other areas in the world.
在过去二十年里，关于东海区域蟹类物种资源状况的更新信息很少。在本研究中，我们于2018年和2019年进行了调查，以确定黄海南部和东海重要经济物种——日本大眼蟹（De Haan，1833）的季节性空间分布模式。在研究区域，蟹类生物量最大的区域出现在大沙渔场和长江口渔场，其次是江外-舟外区域。按季节来看，这些区域的总生物量排序为夏季>秋冬>春季，平均个体重量排序为春夏>冬季>秋季。这些研究结果提供了该物种跨季节的季节性空间分布模式图，随后被用于气候变化情景模型。模型预测表明，在气候变暖条件下，该物种可能向北和向近海迁移，并且气候情景SSP585 - 2100对于该物种栖息地面积增加率减去损失率而言可能是最不利的情况。这些数据可用于制定稳健且系统的区域渔业资源管理政策，这些政策需考虑适应措施，以应对中国沿海及世界其他地区环境和气候变化的影响。
