海洋渔业2026，Vol.48Issue(3)：314-328,15.
基于AIS的黄渤海捕捞活动时空格局及其环境影响因素研究
Spatial and temporal patterns of fishing activities in the Yellow Sea and Bohai Sea and their environmental influencing factors based on AIS
摘要
Abstract
The widespread application of automatic identification system(AIS)has provided crucial data support for the collection of large-scale,high-precision information on the fishing vessel activities.To investigate the distribution patterns of fishing activities in the Yellow Sea and Bohai Sea of China and their environmental influencing factors,a fishing vessel dataset obtained via AIS was used to quantitatively analyze the spatiotemporal dynamics of fishing effort by fishing vessels from 2014 to 2019.Combined with marine environmental remote sensing data from the same period,generalized additive model(GAM)was employed to simulate and identify the influence of marine environmental factors on the spatial distribution of fishing activities.The results indicate that,during the study period,there were significant changes in the scale and structure of fishing operations in the Yellow Sea and Bohai Sea.The proportion of fishing effort by trawlers decreased,while the proportion of operating time by gillnet vessels increased.The period from September to December was the peak season for fishing activities in that year,with fishing operations distributed most widely across this period,accounting for more than half of the annual fishing effort.Fishing activities were highly concentrated in China's coastal waters,particularly in the Bohai Sea,the southern part of the Liaodong Peninsula,the coast of the Shandong Peninsula,Haizhou Bay and the western coast of South Korea;over 88.7%of the fishing effort was concentrated in waters within 60 km of the coast,and there were marked spatial differences in the distribution of fishing activities among vessels using different types of fishing gears.GAM model explained 72.5%of the variance in the spatial distribution of total fishing effort by fishing vessels in the Yellow and Bohai seas between September and December.Distance from shore and sea surface salinity were the two environmental factors with the highest explanatory power for the spatial distribution of fishing activities.These findings can provide valuable decision support for the spatial management of the fishing industry and the restoration of nearshore fishery resources in the Yellow Sea and Bohai Sea.关键词
捕捞活动/黄渤海/AIS/时空格局/GAM模型/环境因子Key words
fishing activities/Yellow Sea and Bohai Sea/AIS/spatio-temporal pattern/GAM model/environmental factor分类
农业科技引用本文复制引用
张凌霄,吴晓青,陈仁丽,王钰萍..基于AIS的黄渤海捕捞活动时空格局及其环境影响因素研究[J].海洋渔业,2026,48(3):314-328,15.基金项目
山东省自然科学基金项目(ZR2020MD014) （ZR2020MD014）
国家重点研发计划项目(2019YFD0900705) （2019YFD0900705）
