中国水产科学2024，Vol.31Issue(5)：602-612,11.DOI:10.12264/JFSC2023-0349
南海北部渔业生物声学密度的底表层间差异及与多类非生物因子的相关性分析
Difference in the fishery resource density between the bottom and surface layers and an analysis of multiple types of related factor importance in the Northern South China Sea
摘要
Abstract
This study aims to analyze the differences in acoustic density of fishery resources between surface and bottom layers(surface mixed layer and bottom cold water layer)in the northern South China Sea and to explore the relationship between these differences and 41 abiotic factors.This research provides a scientific basis for the effective management and conservation of fishery resources in the northern South China Sea.The northern offshore area of the South China Sea is a crucial traditional fishing ground and an important spawning and feeding ground for marine fish.In recent years,fishery resources in this region have shown significant declines in age,size,and quality,attracting significant attention from both academia and fishery management authorities.Fishery acoustic methods were employed,using a Simrad EY60 split-beam scientific echosounder to collect acoustic data in the northern South China Sea.Acoustic data were analyzed using the Echoview fishery acoustic data processing system to calculate the acoustic density(NASC)of surface and bottom layers.Extreme Gradient Boosting(XGBoost)and Random Forest algorithms were utilized to model the influence of 41 abiotic factors on the differences in acoustic density and to assess the importance of these factors.Results indicated that the bottom layer had significantly higher acoustic density than the surface layer,with mean values of 106.00 m²/nmi² and 43.39 m²/nmi²,respectively.Both XGBoost and Random Forest models performed similarly,with temperature factors(bottom 2 m temperature,surface-bottom temperature difference,and surface 2 m temperature)and water depth identified as the most critical factors affecting acoustic density differences.The negative value region,where surface density exceeds bottom density,is primarily distributed around Hainan Island.The study concluded that temperature and water depth are the primary factors influencing the distribution differences of fishery resources,while human activities may also contribute by altering the concentrations of factors such as phosphate and chlorophyll.Additionally,the discussion highlights the implications of these findings for fisheries management,suggesting that targeted measures to monitor and regulate temperature and nutrient levels could significantly improve resource sustainability.The analysis underscores the importance of incorporating advanced machine learning algorithms in marine resource assessment to enhance the accuracy and reliability of environmental impact evaluations.These findings provide vital scientific insights for the management and conservation of fishery resources in the northern South China Sea,offering a comprehensive understanding of the environmental factors that drive spatial distribution patterns in marine ecosystems.This research thus lays a foundation for future studies aiming to mitigate the impacts of climate change and human activities on marine biodiversity and resource availability.关键词
非生物因子/极限梯度提升算法(XGBoost)/随机森林(Random Forest)/渔业声学/南海北部Key words
abiotic factors,XGBoost,Random Forest,fishery acoustics/the northem South China Sea分类
水产学引用本文复制引用
孙铭帅,蔡研聪,张魁,许友伟,杨玉滔,陈作志..南海北部渔业生物声学密度的底表层间差异及与多类非生物因子的相关性分析[J].中国水产科学,2024,31(5):602-612,11.基金项目
广东省重点研发计划项目(2020B11111030001) （2020B11111030001）
中国水产科学研究院中央公益性科研机构基础研究基金项目(2023TD05) （2023TD05）
中国水产科学研究院中央级公益性科研院所基本科研业务费专项资金资助项目(2021SD01). （2021SD01）
