基于AIS的渤海及其邻近海域捕捞活动聚集区时空特征分析 | |
陈仁丽1,3; 吴晓青2,3; 刘柏静1,3; 王跃启2,3 | |
刊名 | 海洋渔业 |
2022 | |
卷号 | 44期号:6页码:780-789 |
关键词 | 捕捞活动 捕捞行为 渔船 AIS 渤海 |
ISSN号 | 1004-2490 |
其他题名 | Spatiotemporal distribution of fishing grounds in the Bohai Sea and its adjacent waters based on AIS |
文献子类 | 期刊论文 |
英文摘要 | Automatic identification system(AIS)is a new type of navigation aid system applied to ship-toship and ship-to-shore. It can monitor vessel activity in real time and plays an increasingly important role in vessel collision avoidance, vessel monitoring, and maritime management. In the past ten years, the popularization and application of AIS transmitters has made AIS-based dynamic trajectory data valuable for scientific research in marine traffic management,marine fisheries management,and marine spatial planning management. With its high spatial and temporal resolution,AIS data provides a good source to reveal the characteristics of maritime traffic activities and fishing intensity. Since the introduction of AIS,significant progress has been made regarding the use of AIS data for identifying fishing behavior,quantifying fishing intensity,and assessing marine ecological stress. However,previous studies lack a description of the overall spatial and temporal distribution pattern of fishing activities in coastal sea areas,which affects the efficiency of marine fishing activity management and marine ecological protection in regional waters. The Bohai Sea and its adjacent waters is one of the important distribution areas of fishing grounds in China,with abundant fishing resources,extensive distribution of fishing ports and fishing vessels, and intensive fishing activities. Nevertheless,in recent decades,due to the impact of overfishing and land-source pollution,fishery resources have been seriously degraded. It is an urgent need to understand the distribution and level of overall fishing activity in regional waters,so as to provide decision-making support for marine fishing activities,marine ecological environment protection,and the restoration of marine fisheries resources. Based on AIS data from marine vessels in the Bohai Sea and its adjacent waters in 2014 and 2018,this study mapped the range of the fishing ground,and analyzed the temporal and spatial distribution characteristics of fishing grounds and their influence factors. First,the speed threshold under fishing states was determined based on the speed frequency density distribution of fishing vessels and a Gaussian mixed model. Secondly,the kernel density estimation and hot spot analysis were combined to map fishing grounds. The standard deviation ellipse method was used to calculate the spatial distribution center of fishing grounds. Then the distribution of fishing grounds for the months and quarters of 2018 and the same MMSI information for 2014 and 2018 were mapped. Finally,based on the statistical analysis and the aggregation index,the quantitative structure and spatial distribution characteristics of fishing grounds were analyzed,and the factors that caused the differences in the spatial and temporal patterns of fishing grounds were discussed. The results showed that there were significant monthly and quarterly differences in the spatial distribution of fishing grounds in the Bohai Sea and its adjacent waters. It was mainly distributed in Yanwei near-shore area and sea area near the Bohai Strait. Except for the summer fishing moratorium period from May to August,the average percentage of the sea area near the Bohai Strait and Yanwei near-shore fishing grounds in the total area of all fishing grounds each month was about 52.10%. While the scale of fishing activity in the Bohai Sea was small,it was scattered only in the coastal waters of Qinhuangdao,northern areas of Huanghua,and Laizhou Bay. The large-scale fishing activities were mainly concentrated from September to December after the summer fishing moratorium,with widespread fishing grounds and marked changes in spatial morphology. Among them,the fishing grounds in September were the largest,with an area of about 15 355.29 km~2. In October,fishing grounds had the highest level of clustering, and the aggregation degree index reached 37.49. |
语种 | 中文 |
CSCD记录号 | CSCD:7384445 |
内容类型 | 期刊论文 |
源URL | [http://ir.yic.ac.cn/handle/133337/34141] |
专题 | 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 |
作者单位 | 1.中国科学院大学,北京100049; 2.中国科学院海岸带环境过程与生态修复重点实验室,山东烟台264003 3.中国科学院烟台海岸带研究所,山东烟台264003; |
推荐引用方式 GB/T 7714 | 陈仁丽,吴晓青,刘柏静,等. 基于AIS的渤海及其邻近海域捕捞活动聚集区时空特征分析[J]. 海洋渔业,2022,44(6):780-789. |
APA | 陈仁丽,吴晓青,刘柏静,&王跃启.(2022).基于AIS的渤海及其邻近海域捕捞活动聚集区时空特征分析.海洋渔业,44(6),780-789. |
MLA | 陈仁丽,et al."基于AIS的渤海及其邻近海域捕捞活动聚集区时空特征分析".海洋渔业 44.6(2022):780-789. |
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