| 区域生态安全格局: 概念与理论基础 |
| |
| 引用本文： | 廖祖军, 王学锋, 周艳波, 张磊, 吕少梁, 吴洽儿, 董建宇, 马胜伟. 基于结构方程模型分析海洋环境因子对南海鸢乌贼的影响[J]. 南方水产科学, 2024, 20(2): 11-18. DOI: 10.12131/20230127 |
| |
| 作者姓名： | 廖祖军 王学锋 周艳波 张磊 吕少梁 吴洽儿 董建宇 马胜伟 |
| |
| 作者单位： | 1.广东海洋大学 水产学院，广东 湛江 524088;2.青岛海洋科学与技术试点国家实验室，山东 青岛 266237;3.中国水产科学研究院南海水产研究所，广东 广州 510300;4.农业农村部外海渔业开发重点实验室，广东 广州 510300;5.上海海洋大学 海洋文化与法律学院，上海 201306 |
| |
| 基金项目： | 青岛海洋科学与技术试点国家实验室山东省专项经费 (2022QNLM010104-2)；中国-东盟海上合作基金项目“中国与印度尼西亚近海海洋生态牧场技术合作研究”(12500101200021002)；南海渔业发展战略研究创新团队 (2023TD93) |
| |
| 摘 要： | 为探究鸢乌贼 (Sthenoteuthis oualaniensis) 资源变化与海洋环境因子的关系，基于2019—2020年南海围网捕捞鸢乌贼的电子渔捞日志数据，首先分析了鸢乌贼资源的月间变动特征，之后利用结构方程模型解析海洋环境因子对其资源时空分布的影响。结果表明：围网月间的平均单位捕捞努力量渔获量 (Catch per unit effort, CPUE) 变化趋势基本一致，年平均CPUE则为2020年大于2019年。南海鸢乌贼渔汛期为3—4月，高产区域集中在112°E—117°E、8°N—12°N，渔汛期CPUE呈现向东和向北偏移的趋势。海洋环境对鸢乌贼资源分布的综合影响系数为0.38，而海表盐度和光合有效辐射在海洋环境上的载荷量分别为0.87和0.82，两者是影响鸢乌贼资源分布的重要环境因子。所用结构方程模型为量化海洋环境因子与鸢乌贼资源分布之间的复杂关系提供了新的研究思路，可为鸢乌贼资源可持续利用和管理提供参考依据。
|
| 关 键 词： | 鸢乌贼 电子渔捞日志 结构方程模型 海洋环境因子 南海 |
| 收稿时间： | 2023-06-30 |
| 修稿时间： | 2023-10-11 |
Functional diversity measures: an overview of their redundancy and their ability to discriminate community assembly rules |
| |
| LIAO Zujun, WANG Xuefeng, ZHOU Yanbo, ZHANG Lei, LYU Shaoliang, WU Qia'er, DONG Jianyu, MA Shengwei. Analysis of effects of environmental factors on Sthenoteuthis oualaniensis based on structural equation model[J]. South China Fisheries Science, 2024, 20(2): 11-18. DOI: 10.12131/20230127 |
| |
| Authors: | LIAO Zujun WANG Xuefeng ZHOU Yanbo ZHANG Lei LYU Shaoliang WU Qia'er DONG Jianyu MA Shengwei |
| |
| Affiliation: | 1.College of Fisheries, Guangdong Ocean University, Zhanjiang 524088, China;2.Qingdao Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China;3.South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China;4.Key Laboratory of Offshore Fishery Development, Ministry of Agriculture and Rural Affairs, Guangzhou 510300, China;5.College of Marine Culture and Law, Shanghai Ocean University, Shanghai 201306, China |
| |
| Abstract: | To understand the relationship between variations in Sthenoteuthis oualaniensis resources and marine environmental factors, we conducted an analysis of monthly variations in S. oualaniensis resources based on the electronic fishing log data from purse seine operations in the South China Sea from 2019 to 2020. Then we examined the impact of marine environmental factors on the spatiotemporal distribution of S. oualaniensis resources by using a structural equation model. The results indicate that the catch per unit effort (CPUE) of purse seine average presented a consistent monthly trend but with significant interannual fluctuations, having higher average CPUE values in 2020 as compared with 2019. The fishing season for S. oualaniensis in the South China Sea is observed in March and April, primarily concentrated within the region between 112°E−117°E and 8°N−12°N, with a tendency for CPUE to shift eastward and northward during the fishing season. On the other hand, the comprehensive impact coefficient of marine environmental factors on the distribution of S. oualaniensis resources was calculated as 0.38, with sea surface salinity and photosynthetically active radiation exhibiting significant loadings of 0.87 and 0.82, respectively, indicating their importance in influencing the distribution of S. oualaniensis resources. The application of a structural equation model offers a quantitative research approach to examine the complex relationship between marine environmental factors and the distribution of S. oualaniensis. The research provides valuable scientific insights for the sustainable utilization and management of S. oualaniensis resource. |
| |
| Keywords: | Sthenoteuthis oualaniensis Electronic fishing logbook Structural equation model Marine environmental factors South China Sea |
|
| 点击此处可从《南方水产科学》浏览原始摘要信息 |
|
点击此处可从《南方水产科学》下载全文 |
|
